engineering_monkeypox_pipeline.ipynb

{
  "cells": [
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "view-in-github",
        "colab_type": "text"
      },
      "source": [
        "<a href=\"https://colab.research.google.com/github/slp22/data-engineering-project/blob/main/engineering_monkeypox_pipeline.ipynb\" target=\"_parent\"><img src=\"https://colab.research.google.com/assets/colab-badge.svg\" alt=\"Open In Colab\"/></a>"
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "wH8m3rmEAo3U"
      },
      "source": [
        "#### Data Engineering | Pipeline\n",
        "\n",
        "# Monkeypox Tweets"
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "4nm_mHUuAeql"
      },
      "source": [
        "## Imports"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": 1,
      "metadata": {
        "id": "w06wbr_xATv4",
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "outputId": "6cbc4ed6-905f-4b1b-ce74-68845846f09d"
      },
      "outputs": [
        {
          "output_type": "stream",
          "name": "stderr",
          "text": [
            "[nltk_data] Downloading package stopwords to /root/nltk_data...\n",
            "[nltk_data]   Unzipping corpora/stopwords.zip.\n"
          ]
        }
      ],
      "source": [
        "import json\n",
        "import logging\n",
        "import sqlite3\n",
        "import matplotlib.pyplot as plt\n",
        "import numpy as np\n",
        "import os, shutil, itertools\n",
        "import pandas as pd\n",
        "import pathlib as Path\n",
        "import pickle\n",
        "import PIL\n",
        "import random\n",
        "import seaborn as sns\n",
        "import sklearn as sk\n",
        "import warnings\n",
        "import zipfile\n",
        "\n",
        "\n",
        "import nltk\n",
        "import re\n",
        "import en_core_web_sm\n",
        "import string\n",
        "pd.set_option('display.max_colwidth', None)\n",
        "nltk.download('stopwords')\n",
        "\n",
        "from nltk.tokenize import word_tokenize\n",
        "from sklearn.decomposition import PCA, NMF\n",
        "from sklearn.feature_extraction.text import TfidfVectorizer\n",
        "from sklearn.model_selection import train_test_split\n",
        "\n",
        "from wordcloud import WordCloud, STOPWORDS\n",
        "\n",
        "from sqlite3 import connect\n",
        "from datetime import datetime, date\n",
        "# import time\n",
        "# from datetime import datetime\n",
        "# from dateutil.parser import parse\n",
        "# from dateutil.relativedelta import *\n",
        "# from dateutil.easter import *\n",
        "# from dateutil.rrule import *\n",
        "# from dateutil.parser import *\n",
        "# from datetime import *\n"
      ]
    },
    {
      "cell_type": "markdown",
      "source": [
        "### Google Drive"
      ],
      "metadata": {
        "id": "CvyY8wZWFtik"
      }
    },
    {
      "cell_type": "code",
      "source": [
        "# mount drive\n",
        "from google.colab import drive\n",
        "drive.mount('/content/drive')\n",
        "\n",
        "# https://colab.research.google.com/notebooks/snippets/sheets.ipynb#scrollTo=JiJVCmu3dhFa\n",
        "\n",
        "# authorize access \n",
        "from google.colab import auth\n",
        "auth.authenticate_user()\n",
        "\n",
        "# read in from Google Sheets\n",
        "\n",
        "import gspread\n",
        "from google.auth import default\n",
        "creds, _ = default()\n",
        "\n",
        "gc = gspread.authorize(creds)\n"
      ],
      "metadata": {
        "id": "KK2gD2g6NKFv",
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "outputId": "119acc0f-8473-4bbd-c483-a149bdc9360e"
      },
      "execution_count": 2,
      "outputs": [
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "Mounted at /content/drive\n"
          ]
        }
      ]
    },
    {
      "cell_type": "markdown",
      "source": [
        "### Pyspark\n",
        "\n"
      ],
      "metadata": {
        "id": "B386_PwAwSxC"
      }
    },
    {
      "cell_type": "code",
      "source": [
        "# # https://towardsdatascience.com/pyspark-on-google-colab-101-d31830b238be\n",
        "# # https://www.analyticsvidhya.com/blog/2020/11/a-must-read-guide-on-how-to-work-with-pyspark-on-google-colab-for-data-scientists/\n",
        "\n",
        "!apt-get install openjdk-8-jdk-headless -qq > /dev/null"
      ],
      "metadata": {
        "id": "d6zyxbIeQRP7"
      },
      "execution_count": 3,
      "outputs": []
    },
    {
      "cell_type": "code",
      "source": [
        "!wget -q https://archive.apache.org/dist/spark/spark-3.0.0/spark-3.0.0-bin-hadoop3.2.tgz"
      ],
      "metadata": {
        "id": "PnrT-MdkO4Om"
      },
      "execution_count": 4,
      "outputs": []
    },
    {
      "cell_type": "code",
      "source": [
        "!tar -xf spark-3.0.0-bin-hadoop3.2.tgz"
      ],
      "metadata": {
        "id": "Fh2JdMTItP4v"
      },
      "execution_count": 5,
      "outputs": []
    },
    {
      "cell_type": "code",
      "source": [
        "!pip install -q findspark"
      ],
      "metadata": {
        "id": "jM9TqdQ0up5A"
      },
      "execution_count": 6,
      "outputs": []
    },
    {
      "cell_type": "code",
      "source": [
        "os.environ[\"JAVA_HOME\"] = \"/usr/lib/jvm/java-8-openjdk-amd64\"\n",
        "os.environ[\"SPARK_HOME\"] = \"/content/spark-3.0.0-bin-hadoop3.2\""
      ],
      "metadata": {
        "id": "kiB4yJevOiGk"
      },
      "execution_count": 7,
      "outputs": []
    },
    {
      "cell_type": "code",
      "source": [
        "import findspark\n",
        "findspark.init()"
      ],
      "metadata": {
        "id": "DNzHHgiROoIL"
      },
      "execution_count": 8,
      "outputs": []
    },
    {
      "cell_type": "code",
      "source": [
        "import pyspark\n",
        "from pyspark.sql import SparkSession\n",
        "from pyspark.sql.functions import split, explode, col, lower\n",
        "from pyspark.sql.types import StructType,StructField, StringType, IntegerType\n"
      ],
      "metadata": {
        "id": "Ocg1qNbOuwSo"
      },
      "execution_count": 9,
      "outputs": []
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "ehG7rDKVA1x3"
      },
      "source": [
        "## 1 | Pipeline Design\n"
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "lPrQPhqxA4C4"
      },
      "source": [
        "* **Business Problem:** How to monitor chatter on Twitter about monkeypox?\n",
        "* **Pipeline**: To monitor chatter on Twitter, need to built a proof of concept dashboard. \n",
        "* **Data source:** [Kaggle Tweets on Monkeypox ](https://www.kaggle.com/datasets/thakurnirmalya/monkeypox2022tweets)\n",
        "* **Impact Hypothesis:** Inform CDC's communication strategy on monkeypox to avoid stigma."
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "j9xSJjZAA79Y"
      },
      "source": [
        "## 2 | Data Ingestion"
      ]
    },
    {
      "cell_type": "markdown",
      "source": [
        "#### 2.1  [Twitter Dataset on the 2022 MonkeyPox Outbreak](https://www.kaggle.com/datasets/thakurnirmalya/monkeypox2022tweets) \n",
        "* Dataset is list of TweetIDs"
      ],
      "metadata": {
        "id": "jXIfCh8OaYtc"
      }
    },
    {
      "cell_type": "markdown",
      "source": [
        "#### 2.2  [Twitter Hydrating](https://towardsdatascience.com/learn-how-to-easily-hydrate-tweets-a0f393ed340e#:~:text=Hydrating%20Tweets) with [DocNow Hydrator](https://github.com/DocNow/hydrator/releases)\n",
        "* Processed on local machine\n",
        "* Saved to Google Sheets"
      ],
      "metadata": {
        "id": "9k7spHO1FrzI"
      }
    },
    {
      "cell_type": "markdown",
      "source": [
        "### 2.3  Import hydrated tweets from GoogleDrive to Colab"
      ],
      "metadata": {
        "id": "iZKrSFfKONx0"
      }
    },
    {
      "cell_type": "code",
      "source": [
        "# import one set of tweets for EDA (section 3.1)\n",
        "w = ['TweetIDs_Part1']\n",
        "tweets = pd.DataFrame.from_records(gc.open(w[0]).sheet1.get_all_values())"
      ],
      "metadata": {
        "id": "W0uNI13lMpFo"
      },
      "execution_count": 10,
      "outputs": []
    },
    {
      "cell_type": "code",
      "source": [
        "# # import all tweets (section 3.2)\n",
        "w = ['TweetIDs_Part1', 'TweetIDs_Part2', 'TweetIDs_Part3', 'TweetIDs_Part4', 'TweetIDs_Part5', 'TweetIDs_Part6']\n",
        "df_1 = pd.DataFrame.from_records(gc.open(w[0]).sheet1.get_all_values())\n",
        "df_2 = pd.DataFrame.from_records(gc.open(w[1]).sheet1.get_all_values())\n",
        "df_3 = pd.DataFrame.from_records(gc.open(w[2]).sheet1.get_all_values())\n",
        "df_4 = pd.DataFrame.from_records(gc.open(w[3]).sheet1.get_all_values())\n",
        "df_5 = pd.DataFrame.from_records(gc.open(w[4]).sheet1.get_all_values())\n",
        "df_6 = pd.DataFrame.from_records(gc.open(w[5]).sheet1.get_all_values())"
      ],
      "metadata": {
        "id": "szXrTTKEDZwD"
      },
      "execution_count": 11,
      "outputs": []
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "678fce99"
      },
      "source": [
        "## 3 | Exploratory Data Analysis"
      ]
    },
    {
      "cell_type": "markdown",
      "source": [
        "### 3.1  Explore one set: `tweets`"
      ],
      "metadata": {
        "id": "MYg3UaoOEPLU"
      }
    },
    {
      "cell_type": "code",
      "source": [
        "tweets.head(2)"
      ],
      "metadata": {
        "id": "Sdile-yhVzLo",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 275
        },
        "outputId": "36d50820-5673-4f4f-d7eb-d8e3f0262282"
      },
      "execution_count": 12,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "            0                               1         2      3     4   \\\n",
              "0  coordinates                      created_at  hashtags  media  urls   \n",
              "1               Wed May 18 21:49:25 +0000 2022                          \n",
              "\n",
              "               5                    6                        7   \\\n",
              "0  favorite_count                   id  in_reply_to_screen_name   \n",
              "1               1  1527043704967528453          theofficepirate   \n",
              "\n",
              "                      8                    9   ...                    25  \\\n",
              "0  in_reply_to_status_id  in_reply_to_user_id  ...  user_followers_count   \n",
              "1    1527043356878155776            140472501  ...                 36791   \n",
              "\n",
              "                   26                 27             28         29  \\\n",
              "0  user_friends_count  user_listed_count  user_location  user_name   \n",
              "1                6088                255                     Yates   \n",
              "\n",
              "                 30                   31              32         33  \\\n",
              "0  user_screen_name  user_statuses_count  user_time_zone  user_urls   \n",
              "1           Jyates5                36441                              \n",
              "\n",
              "              34  \n",
              "0  user_verified  \n",
              "1          FALSE  \n",
              "\n",
              "[2 rows x 35 columns]"
            ],
            "text/html": [
              "\n",
              "  <div id=\"df-2adcee4a-9fe6-442f-90df-b69649b58a78\">\n",
              "    <div class=\"colab-df-container\">\n",
              "      <div>\n",
              "<style scoped>\n",
              "    .dataframe tbody tr th:only-of-type {\n",
              "        vertical-align: middle;\n",
              "    }\n",
              "\n",
              "    .dataframe tbody tr th {\n",
              "        vertical-align: top;\n",
              "    }\n",
              "\n",
              "    .dataframe thead th {\n",
              "        text-align: right;\n",
              "    }\n",
              "</style>\n",
              "<table border=\"1\" class=\"dataframe\">\n",
              "  <thead>\n",
              "    <tr style=\"text-align: right;\">\n",
              "      <th></th>\n",
              "      <th>0</th>\n",
              "      <th>1</th>\n",
              "      <th>2</th>\n",
              "      <th>3</th>\n",
              "      <th>4</th>\n",
              "      <th>5</th>\n",
              "      <th>6</th>\n",
              "      <th>7</th>\n",
              "      <th>8</th>\n",
              "      <th>9</th>\n",
              "      <th>...</th>\n",
              "      <th>25</th>\n",
              "      <th>26</th>\n",
              "      <th>27</th>\n",
              "      <th>28</th>\n",
              "      <th>29</th>\n",
              "      <th>30</th>\n",
              "      <th>31</th>\n",
              "      <th>32</th>\n",
              "      <th>33</th>\n",
              "      <th>34</th>\n",
              "    </tr>\n",
              "  </thead>\n",
              "  <tbody>\n",
              "    <tr>\n",
              "      <th>0</th>\n",
              "      <td>coordinates</td>\n",
              "      <td>created_at</td>\n",
              "      <td>hashtags</td>\n",
              "      <td>media</td>\n",
              "      <td>urls</td>\n",
              "      <td>favorite_count</td>\n",
              "      <td>id</td>\n",
              "      <td>in_reply_to_screen_name</td>\n",
              "      <td>in_reply_to_status_id</td>\n",
              "      <td>in_reply_to_user_id</td>\n",
              "      <td>...</td>\n",
              "      <td>user_followers_count</td>\n",
              "      <td>user_friends_count</td>\n",
              "      <td>user_listed_count</td>\n",
              "      <td>user_location</td>\n",
              "      <td>user_name</td>\n",
              "      <td>user_screen_name</td>\n",
              "      <td>user_statuses_count</td>\n",
              "      <td>user_time_zone</td>\n",
              "      <td>user_urls</td>\n",
              "      <td>user_verified</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>1</th>\n",
              "      <td></td>\n",
              "      <td>Wed May 18 21:49:25 +0000 2022</td>\n",
              "      <td></td>\n",
              "      <td></td>\n",
              "      <td></td>\n",
              "      <td>1</td>\n",
              "      <td>1527043704967528453</td>\n",
              "      <td>theofficepirate</td>\n",
              "      <td>1527043356878155776</td>\n",
              "      <td>140472501</td>\n",
              "      <td>...</td>\n",
              "      <td>36791</td>\n",
              "      <td>6088</td>\n",
              "      <td>255</td>\n",
              "      <td></td>\n",
              "      <td>Yates</td>\n",
              "      <td>Jyates5</td>\n",
              "      <td>36441</td>\n",
              "      <td></td>\n",
              "      <td></td>\n",
              "      <td>FALSE</td>\n",
              "    </tr>\n",
              "  </tbody>\n",
              "</table>\n",
              "<p>2 rows × 35 columns</p>\n",
              "</div>\n",
              "      <button class=\"colab-df-convert\" onclick=\"convertToInteractive('df-2adcee4a-9fe6-442f-90df-b69649b58a78')\"\n",
              "              title=\"Convert this dataframe to an interactive table.\"\n",
              "              style=\"display:none;\">\n",
              "        \n",
              "  <svg xmlns=\"http://www.w3.org/2000/svg\" height=\"24px\"viewBox=\"0 0 24 24\"\n",
              "       width=\"24px\">\n",
              "    <path d=\"M0 0h24v24H0V0z\" fill=\"none\"/>\n",
              "    <path d=\"M18.56 5.44l.94 2.06.94-2.06 2.06-.94-2.06-.94-.94-2.06-.94 2.06-2.06.94zm-11 1L8.5 8.5l.94-2.06 2.06-.94-2.06-.94L8.5 2.5l-.94 2.06-2.06.94zm10 10l.94 2.06.94-2.06 2.06-.94-2.06-.94-.94-2.06-.94 2.06-2.06.94z\"/><path d=\"M17.41 7.96l-1.37-1.37c-.4-.4-.92-.59-1.43-.59-.52 0-1.04.2-1.43.59L10.3 9.45l-7.72 7.72c-.78.78-.78 2.05 0 2.83L4 21.41c.39.39.9.59 1.41.59.51 0 1.02-.2 1.41-.59l7.78-7.78 2.81-2.81c.8-.78.8-2.07 0-2.86zM5.41 20L4 18.59l7.72-7.72 1.47 1.35L5.41 20z\"/>\n",
              "  </svg>\n",
              "      </button>\n",
              "      \n",
              "  <style>\n",
              "    .colab-df-container {\n",
              "      display:flex;\n",
              "      flex-wrap:wrap;\n",
              "      gap: 12px;\n",
              "    }\n",
              "\n",
              "    .colab-df-convert {\n",
              "      background-color: #E8F0FE;\n",
              "      border: none;\n",
              "      border-radius: 50%;\n",
              "      cursor: pointer;\n",
              "      display: none;\n",
              "      fill: #1967D2;\n",
              "      height: 32px;\n",
              "      padding: 0 0 0 0;\n",
              "      width: 32px;\n",
              "    }\n",
              "\n",
              "    .colab-df-convert:hover {\n",
              "      background-color: #E2EBFA;\n",
              "      box-shadow: 0px 1px 2px rgba(60, 64, 67, 0.3), 0px 1px 3px 1px rgba(60, 64, 67, 0.15);\n",
              "      fill: #174EA6;\n",
              "    }\n",
              "\n",
              "    [theme=dark] .colab-df-convert {\n",
              "      background-color: #3B4455;\n",
              "      fill: #D2E3FC;\n",
              "    }\n",
              "\n",
              "    [theme=dark] .colab-df-convert:hover {\n",
              "      background-color: #434B5C;\n",
              "      box-shadow: 0px 1px 3px 1px rgba(0, 0, 0, 0.15);\n",
              "      filter: drop-shadow(0px 1px 2px rgba(0, 0, 0, 0.3));\n",
              "      fill: #FFFFFF;\n",
              "    }\n",
              "  </style>\n",
              "\n",
              "      <script>\n",
              "        const buttonEl =\n",
              "          document.querySelector('#df-2adcee4a-9fe6-442f-90df-b69649b58a78 button.colab-df-convert');\n",
              "        buttonEl.style.display =\n",
              "          google.colab.kernel.accessAllowed ? 'block' : 'none';\n",
              "\n",
              "        async function convertToInteractive(key) {\n",
              "          const element = document.querySelector('#df-2adcee4a-9fe6-442f-90df-b69649b58a78');\n",
              "          const dataTable =\n",
              "            await google.colab.kernel.invokeFunction('convertToInteractive',\n",
              "                                                     [key], {});\n",
              "          if (!dataTable) return;\n",
              "\n",
              "          const docLinkHtml = 'Like what you see? Visit the ' +\n",
              "            '<a target=\"_blank\" href=https://colab.research.google.com/notebooks/data_table.ipynb>data table notebook</a>'\n",
              "            + ' to learn more about interactive tables.';\n",
              "          element.innerHTML = '';\n",
              "          dataTable['output_type'] = 'display_data';\n",
              "          await google.colab.output.renderOutput(dataTable, element);\n",
              "          const docLink = document.createElement('div');\n",
              "          docLink.innerHTML = docLinkHtml;\n",
              "          element.appendChild(docLink);\n",
              "        }\n",
              "      </script>\n",
              "    </div>\n",
              "  </div>\n",
              "  "
            ]
          },
          "metadata": {},
          "execution_count": 12
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "tweets.columns = tweets.iloc[0]\n",
        "tweets = tweets.drop(index=tweets.index[0])"
      ],
      "metadata": {
        "id": "vDg9Cjjswy60"
      },
      "execution_count": 13,
      "outputs": []
    },
    {
      "cell_type": "code",
      "execution_count": 14,
      "metadata": {
        "id": "qKXgvoqwHkPF",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 275
        },
        "outputId": "422bade9-98bc-403e-e953-1ef4c7d38b82"
      },
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "0 coordinates                      created_at hashtags media urls  \\\n",
              "1              Wed May 18 21:49:25 +0000 2022                       \n",
              "2              Fri May 20 20:43:44 +0000 2022                       \n",
              "\n",
              "0 favorite_count                   id in_reply_to_screen_name  \\\n",
              "1              1  1527043704967528453         theofficepirate   \n",
              "2              0  1527751952448344065                           \n",
              "\n",
              "0 in_reply_to_status_id in_reply_to_user_id  ... user_followers_count  \\\n",
              "1   1527043356878155776           140472501  ...                36791   \n",
              "2                                            ...                  134   \n",
              "\n",
              "0 user_friends_count user_listed_count user_location user_name  \\\n",
              "1               6088               255                   Yates   \n",
              "2                553                 3   Chicago, IL   Patrick   \n",
              "\n",
              "0 user_screen_name user_statuses_count user_time_zone user_urls user_verified  \n",
              "1          Jyates5               36441                                  FALSE  \n",
              "2      LeftistHank               10782                                  FALSE  \n",
              "\n",
              "[2 rows x 35 columns]"
            ],
            "text/html": [
              "\n",
              "  <div id=\"df-89c13cb6-2240-4073-8151-36431ea2d488\">\n",
              "    <div class=\"colab-df-container\">\n",
              "      <div>\n",
              "<style scoped>\n",
              "    .dataframe tbody tr th:only-of-type {\n",
              "        vertical-align: middle;\n",
              "    }\n",
              "\n",
              "    .dataframe tbody tr th {\n",
              "        vertical-align: top;\n",
              "    }\n",
              "\n",
              "    .dataframe thead th {\n",
              "        text-align: right;\n",
              "    }\n",
              "</style>\n",
              "<table border=\"1\" class=\"dataframe\">\n",
              "  <thead>\n",
              "    <tr style=\"text-align: right;\">\n",
              "      <th></th>\n",
              "      <th>coordinates</th>\n",
              "      <th>created_at</th>\n",
              "      <th>hashtags</th>\n",
              "      <th>media</th>\n",
              "      <th>urls</th>\n",
              "      <th>favorite_count</th>\n",
              "      <th>id</th>\n",
              "      <th>in_reply_to_screen_name</th>\n",
              "      <th>in_reply_to_status_id</th>\n",
              "      <th>in_reply_to_user_id</th>\n",
              "      <th>...</th>\n",
              "      <th>user_followers_count</th>\n",
              "      <th>user_friends_count</th>\n",
              "      <th>user_listed_count</th>\n",
              "      <th>user_location</th>\n",
              "      <th>user_name</th>\n",
              "      <th>user_screen_name</th>\n",
              "      <th>user_statuses_count</th>\n",
              "      <th>user_time_zone</th>\n",
              "      <th>user_urls</th>\n",
              "      <th>user_verified</th>\n",
              "    </tr>\n",
              "  </thead>\n",
              "  <tbody>\n",
              "    <tr>\n",
              "      <th>1</th>\n",
              "      <td></td>\n",
              "      <td>Wed May 18 21:49:25 +0000 2022</td>\n",
              "      <td></td>\n",
              "      <td></td>\n",
              "      <td></td>\n",
              "      <td>1</td>\n",
              "      <td>1527043704967528453</td>\n",
              "      <td>theofficepirate</td>\n",
              "      <td>1527043356878155776</td>\n",
              "      <td>140472501</td>\n",
              "      <td>...</td>\n",
              "      <td>36791</td>\n",
              "      <td>6088</td>\n",
              "      <td>255</td>\n",
              "      <td></td>\n",
              "      <td>Yates</td>\n",
              "      <td>Jyates5</td>\n",
              "      <td>36441</td>\n",
              "      <td></td>\n",
              "      <td></td>\n",
              "      <td>FALSE</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>2</th>\n",
              "      <td></td>\n",
              "      <td>Fri May 20 20:43:44 +0000 2022</td>\n",
              "      <td></td>\n",
              "      <td></td>\n",
              "      <td></td>\n",
              "      <td>0</td>\n",
              "      <td>1527751952448344065</td>\n",
              "      <td></td>\n",
              "      <td></td>\n",
              "      <td></td>\n",
              "      <td>...</td>\n",
              "      <td>134</td>\n",
              "      <td>553</td>\n",
              "      <td>3</td>\n",
              "      <td>Chicago, IL</td>\n",
              "      <td>Patrick</td>\n",
              "      <td>LeftistHank</td>\n",
              "      <td>10782</td>\n",
              "      <td></td>\n",
              "      <td></td>\n",
              "      <td>FALSE</td>\n",
              "    </tr>\n",
              "  </tbody>\n",
              "</table>\n",
              "<p>2 rows × 35 columns</p>\n",
              "</div>\n",
              "      <button class=\"colab-df-convert\" onclick=\"convertToInteractive('df-89c13cb6-2240-4073-8151-36431ea2d488')\"\n",
              "              title=\"Convert this dataframe to an interactive table.\"\n",
              "              style=\"display:none;\">\n",
              "        \n",
              "  <svg xmlns=\"http://www.w3.org/2000/svg\" height=\"24px\"viewBox=\"0 0 24 24\"\n",
              "       width=\"24px\">\n",
              "    <path d=\"M0 0h24v24H0V0z\" fill=\"none\"/>\n",
              "    <path d=\"M18.56 5.44l.94 2.06.94-2.06 2.06-.94-2.06-.94-.94-2.06-.94 2.06-2.06.94zm-11 1L8.5 8.5l.94-2.06 2.06-.94-2.06-.94L8.5 2.5l-.94 2.06-2.06.94zm10 10l.94 2.06.94-2.06 2.06-.94-2.06-.94-.94-2.06-.94 2.06-2.06.94z\"/><path d=\"M17.41 7.96l-1.37-1.37c-.4-.4-.92-.59-1.43-.59-.52 0-1.04.2-1.43.59L10.3 9.45l-7.72 7.72c-.78.78-.78 2.05 0 2.83L4 21.41c.39.39.9.59 1.41.59.51 0 1.02-.2 1.41-.59l7.78-7.78 2.81-2.81c.8-.78.8-2.07 0-2.86zM5.41 20L4 18.59l7.72-7.72 1.47 1.35L5.41 20z\"/>\n",
              "  </svg>\n",
              "      </button>\n",
              "      \n",
              "  <style>\n",
              "    .colab-df-container {\n",
              "      display:flex;\n",
              "      flex-wrap:wrap;\n",
              "      gap: 12px;\n",
              "    }\n",
              "\n",
              "    .colab-df-convert {\n",
              "      background-color: #E8F0FE;\n",
              "      border: none;\n",
              "      border-radius: 50%;\n",
              "      cursor: pointer;\n",
              "      display: none;\n",
              "      fill: #1967D2;\n",
              "      height: 32px;\n",
              "      padding: 0 0 0 0;\n",
              "      width: 32px;\n",
              "    }\n",
              "\n",
              "    .colab-df-convert:hover {\n",
              "      background-color: #E2EBFA;\n",
              "      box-shadow: 0px 1px 2px rgba(60, 64, 67, 0.3), 0px 1px 3px 1px rgba(60, 64, 67, 0.15);\n",
              "      fill: #174EA6;\n",
              "    }\n",
              "\n",
              "    [theme=dark] .colab-df-convert {\n",
              "      background-color: #3B4455;\n",
              "      fill: #D2E3FC;\n",
              "    }\n",
              "\n",
              "    [theme=dark] .colab-df-convert:hover {\n",
              "      background-color: #434B5C;\n",
              "      box-shadow: 0px 1px 3px 1px rgba(0, 0, 0, 0.15);\n",
              "      filter: drop-shadow(0px 1px 2px rgba(0, 0, 0, 0.3));\n",
              "      fill: #FFFFFF;\n",
              "    }\n",
              "  </style>\n",
              "\n",
              "      <script>\n",
              "        const buttonEl =\n",
              "          document.querySelector('#df-89c13cb6-2240-4073-8151-36431ea2d488 button.colab-df-convert');\n",
              "        buttonEl.style.display =\n",
              "          google.colab.kernel.accessAllowed ? 'block' : 'none';\n",
              "\n",
              "        async function convertToInteractive(key) {\n",
              "          const element = document.querySelector('#df-89c13cb6-2240-4073-8151-36431ea2d488');\n",
              "          const dataTable =\n",
              "            await google.colab.kernel.invokeFunction('convertToInteractive',\n",
              "                                                     [key], {});\n",
              "          if (!dataTable) return;\n",
              "\n",
              "          const docLinkHtml = 'Like what you see? Visit the ' +\n",
              "            '<a target=\"_blank\" href=https://colab.research.google.com/notebooks/data_table.ipynb>data table notebook</a>'\n",
              "            + ' to learn more about interactive tables.';\n",
              "          element.innerHTML = '';\n",
              "          dataTable['output_type'] = 'display_data';\n",
              "          await google.colab.output.renderOutput(dataTable, element);\n",
              "          const docLink = document.createElement('div');\n",
              "          docLink.innerHTML = docLinkHtml;\n",
              "          element.appendChild(docLink);\n",
              "        }\n",
              "      </script>\n",
              "    </div>\n",
              "  </div>\n",
              "  "
            ]
          },
          "metadata": {},
          "execution_count": 14
        }
      ],
      "source": [
        "tweets.head(2)"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": 15,
      "metadata": {
        "id": "E9KmD81nEwgq",
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "outputId": "ba2805b3-0ca8-4dea-cfd5-07d21835017b"
      },
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "['coordinates',\n",
              " 'created_at',\n",
              " 'hashtags',\n",
              " 'media',\n",
              " 'urls',\n",
              " 'favorite_count',\n",
              " 'id',\n",
              " 'in_reply_to_screen_name',\n",
              " 'in_reply_to_status_id',\n",
              " 'in_reply_to_user_id',\n",
              " 'lang',\n",
              " 'place',\n",
              " 'possibly_sensitive',\n",
              " 'quote_id',\n",
              " 'retweet_count',\n",
              " 'retweet_id',\n",
              " 'retweet_screen_name',\n",
              " 'source',\n",
              " 'text',\n",
              " 'tweet_url',\n",
              " 'user_created_at',\n",
              " 'user_id',\n",
              " 'user_default_profile_image',\n",
              " 'user_description',\n",
              " 'user_favourites_count',\n",
              " 'user_followers_count',\n",
              " 'user_friends_count',\n",
              " 'user_listed_count',\n",
              " 'user_location',\n",
              " 'user_name',\n",
              " 'user_screen_name',\n",
              " 'user_statuses_count',\n",
              " 'user_time_zone',\n",
              " 'user_urls',\n",
              " 'user_verified']"
            ]
          },
          "metadata": {},
          "execution_count": 15
        }
      ],
      "source": [
        "cols_list = list(tweets.columns)\n",
        "cols_list"
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "tweets['hashtags']\n",
        "print('num unique hashtags', tweets['hashtags'].nunique())"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "DEDqklR4O2oj",
        "outputId": "03a4adde-de56-47b5-aa67-1fb8cf30c81b"
      },
      "execution_count": 16,
      "outputs": [
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "num unique hashtags 528\n"
          ]
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "tweets['possibly_sensitive'][0:2]"
      ],
      "metadata": {
        "id": "Cktw_oHSMII3",
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "outputId": "b34ef7fb-2f82-4622-c29c-972cfc17b24c"
      },
      "execution_count": 17,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "1    \n",
              "2    \n",
              "Name: possibly_sensitive, dtype: object"
            ]
          },
          "metadata": {},
          "execution_count": 17
        }
      ]
    },
    {
      "cell_type": "code",
      "execution_count": 18,
      "metadata": {
        "id": "Kv-CMSoMExfA",
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "outputId": "584b7da7-8d89-454d-90ca-0768fa46f30d"
      },
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "1                                                                                                                                                                                                                    @theofficepirate You bro remember them talking about monkey pox lol\n",
              "2                                                                                                                                                                                                                                          oh monkey POX? I thought you said monkey POGS\n",
              "3                                                                                                                                                                                                                          If I get monkey pox y’all gotta bring me the juiciest bananas\n",
              "4        Great, the initial Monkey pox symptoms read like how I generally feel. People in both England and Scotland have been quarantined.\\n\\nInitial symptoms of monkeypox include fever, headache, muscle aches, backache, swollen lymph nodes, chills and exhaustion, the UKHSA said.\n",
              "5                                       @freidergeist @Cameo3D @pullenmyleg_ @Breaking911 If an mRNA vaxx is announced for monkey pox, regardless of its pandemic level, I will  say cameo 3D is right. \\nIf this is referenced in any way to push a small pox vax, cameo is still right\n",
              "                                                                                                                                              ...                                                                                                                                       \n",
              "12652                                                                                                                                                                                 @thecoastguy @TimNielsenDay Patent applied for on June 22, 2021.  [See Docket No. FDA-2020-E-1328]\n",
              "12653                                                                                                                                                                                                                                             Ian Brown looks like he has monkey pox\n",
              "12654                                                                                                                                                                                                                   @SkyNews how tf are people contracting “monkey pox” in the UK 😭?\n",
              "12655                                                   @ConceptualJames We really need a legitimate law enforcement agency to go after these fellows.\\n\\nEvent 201 COULD have been luck. An accurate prediction of monkey pox means they’re causing it somehow.\\n\\nWe need to get them!\n",
              "12656                                                                                                                                                                                                                                What you mean “monkey pox”? https://t.co/lin02LJgCF\n",
              "Name: text, Length: 12656, dtype: object"
            ]
          },
          "metadata": {},
          "execution_count": 18
        }
      ],
      "source": [
        "tweets['text']"
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "tweets['tweet_url'][0:2]"
      ],
      "metadata": {
        "id": "giLgaXAfMIPR",
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "outputId": "3f9ab710-bc7a-407d-baa4-011f88cbec16"
      },
      "execution_count": 19,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "1        https://twitter.com/Jyates5/status/1527043704967528453\n",
              "2    https://twitter.com/LeftistHank/status/1527751952448344065\n",
              "Name: tweet_url, dtype: object"
            ]
          },
          "metadata": {},
          "execution_count": 19
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "tweets['lang'].unique()\n",
        "print('num unique languages', tweets['lang'].nunique())"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "IhctkHfrVwCm",
        "outputId": "cf86ad96-af35-45c3-c745-023d9ca91ee7"
      },
      "execution_count": 20,
      "outputs": [
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "num unique languages 40\n"
          ]
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "tweets['user_created_at']"
      ],
      "metadata": {
        "id": "emrGiHfKGe9H",
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "outputId": "82826db7-4824-4947-b3d5-4f8602d1363e"
      },
      "execution_count": 21,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "1        Fri Apr 01 00:29:41 +0000 2011\n",
              "2        Fri Apr 01 13:14:03 +0000 2022\n",
              "3        Fri Apr 01 15:12:02 +0000 2011\n",
              "4        Fri Apr 01 16:27:26 +0000 2011\n",
              "5        Fri Apr 01 17:41:17 +0000 2016\n",
              "                      ...              \n",
              "12652    Wed Sep 30 18:20:38 +0000 2015\n",
              "12653    Wed Sep 30 19:12:03 +0000 2020\n",
              "12654    Wed Sep 30 22:42:35 +0000 2020\n",
              "12655    Wed Sep 30 23:06:12 +0000 2009\n",
              "12656    Wed Sep 30 23:38:29 +0000 2009\n",
              "Name: user_created_at, Length: 12656, dtype: object"
            ]
          },
          "metadata": {},
          "execution_count": 21
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "tweets['user_id']\n",
        "print('num unique user id', tweets['user_id'].nunique())"
      ],
      "metadata": {
        "id": "W6LQTMMuMISI",
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "outputId": "a824ba62-e721-43d7-c162-4bb3a5603426"
      },
      "execution_count": 22,
      "outputs": [
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "num unique user id 11033\n"
          ]
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "tweets['user_location']\n",
        "print('num unique location', tweets['user_location'].nunique())"
      ],
      "metadata": {
        "id": "CR25WifhMH_m",
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "outputId": "403af78c-95b7-4aa1-a57e-934bb36fb713"
      },
      "execution_count": 23,
      "outputs": [
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "num unique location 4508\n"
          ]
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "tweets['user_screen_name']\n",
        "print('num unique screen names', tweets['user_screen_name'].nunique())"
      ],
      "metadata": {
        "id": "kvB59iqNMEqG",
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "outputId": "e7f05305-82ac-48be-e5cf-b5a6fb67ce48"
      },
      "execution_count": 24,
      "outputs": [
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "num unique screen names 11033\n"
          ]
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "tweets = tweets[['user_created_at',\n",
        "                 'user_screen_name',\n",
        "                 'text',\n",
        "                 'tweet_url',\n",
        "                 'user_location',\n",
        "                 'hashtags']]\n",
        "tweets.head(2)"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 298
        },
        "id": "b5AbKyVUMEtL",
        "outputId": "33c0917a-7d83-429b-90df-f7d156ba76a1"
      },
      "execution_count": 25,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "0                 user_created_at user_screen_name  \\\n",
              "1  Fri Apr 01 00:29:41 +0000 2011          Jyates5   \n",
              "2  Fri Apr 01 13:14:03 +0000 2022      LeftistHank   \n",
              "\n",
              "0                                                                 text  \\\n",
              "1  @theofficepirate You bro remember them talking about monkey pox lol   \n",
              "2                        oh monkey POX? I thought you said monkey POGS   \n",
              "\n",
              "0                                                   tweet_url user_location  \\\n",
              "1      https://twitter.com/Jyates5/status/1527043704967528453                 \n",
              "2  https://twitter.com/LeftistHank/status/1527751952448344065   Chicago, IL   \n",
              "\n",
              "0 hashtags  \n",
              "1           \n",
              "2           "
            ],
            "text/html": [
              "\n",
              "  <div id=\"df-f22bc432-487f-49a8-8a88-71b309913395\">\n",
              "    <div class=\"colab-df-container\">\n",
              "      <div>\n",
              "<style scoped>\n",
              "    .dataframe tbody tr th:only-of-type {\n",
              "        vertical-align: middle;\n",
              "    }\n",
              "\n",
              "    .dataframe tbody tr th {\n",
              "        vertical-align: top;\n",
              "    }\n",
              "\n",
              "    .dataframe thead th {\n",
              "        text-align: right;\n",
              "    }\n",
              "</style>\n",
              "<table border=\"1\" class=\"dataframe\">\n",
              "  <thead>\n",
              "    <tr style=\"text-align: right;\">\n",
              "      <th></th>\n",
              "      <th>user_created_at</th>\n",
              "      <th>user_screen_name</th>\n",
              "      <th>text</th>\n",
              "      <th>tweet_url</th>\n",
              "      <th>user_location</th>\n",
              "      <th>hashtags</th>\n",
              "    </tr>\n",
              "  </thead>\n",
              "  <tbody>\n",
              "    <tr>\n",
              "      <th>1</th>\n",
              "      <td>Fri Apr 01 00:29:41 +0000 2011</td>\n",
              "      <td>Jyates5</td>\n",
              "      <td>@theofficepirate You bro remember them talking about monkey pox lol</td>\n",
              "      <td>https://twitter.com/Jyates5/status/1527043704967528453</td>\n",
              "      <td></td>\n",
              "      <td></td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>2</th>\n",
              "      <td>Fri Apr 01 13:14:03 +0000 2022</td>\n",
              "      <td>LeftistHank</td>\n",
              "      <td>oh monkey POX? I thought you said monkey POGS</td>\n",
              "      <td>https://twitter.com/LeftistHank/status/1527751952448344065</td>\n",
              "      <td>Chicago, IL</td>\n",
              "      <td></td>\n",
              "    </tr>\n",
              "  </tbody>\n",
              "</table>\n",
              "</div>\n",
              "      <button class=\"colab-df-convert\" onclick=\"convertToInteractive('df-f22bc432-487f-49a8-8a88-71b309913395')\"\n",
              "              title=\"Convert this dataframe to an interactive table.\"\n",
              "              style=\"display:none;\">\n",
              "        \n",
              "  <svg xmlns=\"http://www.w3.org/2000/svg\" height=\"24px\"viewBox=\"0 0 24 24\"\n",
              "       width=\"24px\">\n",
              "    <path d=\"M0 0h24v24H0V0z\" fill=\"none\"/>\n",
              "    <path d=\"M18.56 5.44l.94 2.06.94-2.06 2.06-.94-2.06-.94-.94-2.06-.94 2.06-2.06.94zm-11 1L8.5 8.5l.94-2.06 2.06-.94-2.06-.94L8.5 2.5l-.94 2.06-2.06.94zm10 10l.94 2.06.94-2.06 2.06-.94-2.06-.94-.94-2.06-.94 2.06-2.06.94z\"/><path d=\"M17.41 7.96l-1.37-1.37c-.4-.4-.92-.59-1.43-.59-.52 0-1.04.2-1.43.59L10.3 9.45l-7.72 7.72c-.78.78-.78 2.05 0 2.83L4 21.41c.39.39.9.59 1.41.59.51 0 1.02-.2 1.41-.59l7.78-7.78 2.81-2.81c.8-.78.8-2.07 0-2.86zM5.41 20L4 18.59l7.72-7.72 1.47 1.35L5.41 20z\"/>\n",
              "  </svg>\n",
              "      </button>\n",
              "      \n",
              "  <style>\n",
              "    .colab-df-container {\n",
              "      display:flex;\n",
              "      flex-wrap:wrap;\n",
              "      gap: 12px;\n",
              "    }\n",
              "\n",
              "    .colab-df-convert {\n",
              "      background-color: #E8F0FE;\n",
              "      border: none;\n",
              "      border-radius: 50%;\n",
              "      cursor: pointer;\n",
              "      display: none;\n",
              "      fill: #1967D2;\n",
              "      height: 32px;\n",
              "      padding: 0 0 0 0;\n",
              "      width: 32px;\n",
              "    }\n",
              "\n",
              "    .colab-df-convert:hover {\n",
              "      background-color: #E2EBFA;\n",
              "      box-shadow: 0px 1px 2px rgba(60, 64, 67, 0.3), 0px 1px 3px 1px rgba(60, 64, 67, 0.15);\n",
              "      fill: #174EA6;\n",
              "    }\n",
              "\n",
              "    [theme=dark] .colab-df-convert {\n",
              "      background-color: #3B4455;\n",
              "      fill: #D2E3FC;\n",
              "    }\n",
              "\n",
              "    [theme=dark] .colab-df-convert:hover {\n",
              "      background-color: #434B5C;\n",
              "      box-shadow: 0px 1px 3px 1px rgba(0, 0, 0, 0.15);\n",
              "      filter: drop-shadow(0px 1px 2px rgba(0, 0, 0, 0.3));\n",
              "      fill: #FFFFFF;\n",
              "    }\n",
              "  </style>\n",
              "\n",
              "      <script>\n",
              "        const buttonEl =\n",
              "          document.querySelector('#df-f22bc432-487f-49a8-8a88-71b309913395 button.colab-df-convert');\n",
              "        buttonEl.style.display =\n",
              "          google.colab.kernel.accessAllowed ? 'block' : 'none';\n",
              "\n",
              "        async function convertToInteractive(key) {\n",
              "          const element = document.querySelector('#df-f22bc432-487f-49a8-8a88-71b309913395');\n",
              "          const dataTable =\n",
              "            await google.colab.kernel.invokeFunction('convertToInteractive',\n",
              "                                                     [key], {});\n",
              "          if (!dataTable) return;\n",
              "\n",
              "          const docLinkHtml = 'Like what you see? Visit the ' +\n",
              "            '<a target=\"_blank\" href=https://colab.research.google.com/notebooks/data_table.ipynb>data table notebook</a>'\n",
              "            + ' to learn more about interactive tables.';\n",
              "          element.innerHTML = '';\n",
              "          dataTable['output_type'] = 'display_data';\n",
              "          await google.colab.output.renderOutput(dataTable, element);\n",
              "          const docLink = document.createElement('div');\n",
              "          docLink.innerHTML = docLinkHtml;\n",
              "          element.appendChild(docLink);\n",
              "        }\n",
              "      </script>\n",
              "    </div>\n",
              "  </div>\n",
              "  "
            ]
          },
          "metadata": {},
          "execution_count": 25
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "tweets.info()"
      ],
      "metadata": {
        "id": "9vVopwFzbCuF",
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "outputId": "285b4127-58a9-4a90-9b17-0a0163d189eb"
      },
      "execution_count": 26,
      "outputs": [
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "<class 'pandas.core.frame.DataFrame'>\n",
            "Int64Index: 12656 entries, 1 to 12656\n",
            "Data columns (total 6 columns):\n",
            " #   Column            Non-Null Count  Dtype \n",
            "---  ------            --------------  ----- \n",
            " 0   user_created_at   12656 non-null  object\n",
            " 1   user_screen_name  12656 non-null  object\n",
            " 2   text              12656 non-null  object\n",
            " 3   tweet_url         12656 non-null  object\n",
            " 4   user_location     12656 non-null  object\n",
            " 5   hashtags          12656 non-null  object\n",
            "dtypes: object(6)\n",
            "memory usage: 692.1+ KB\n"
          ]
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "tweets.reset_index(drop=True)"
      ],
      "metadata": {
        "id": "zive2igRunj6",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 1000
        },
        "outputId": "019d04ed-939f-48a1-a32d-6d163caa9976"
      },
      "execution_count": 27,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "0                     user_created_at user_screen_name  \\\n",
              "0      Fri Apr 01 00:29:41 +0000 2011          Jyates5   \n",
              "1      Fri Apr 01 13:14:03 +0000 2022      LeftistHank   \n",
              "2      Fri Apr 01 15:12:02 +0000 2011   MyNameIsRickyM   \n",
              "3      Fri Apr 01 16:27:26 +0000 2011     Just_sue_now   \n",
              "4      Fri Apr 01 17:41:17 +0000 2016       JackPaceSr   \n",
              "...                               ...              ...   \n",
              "12651  Wed Sep 30 18:20:38 +0000 2015  theoceanlawyers   \n",
              "12652  Wed Sep 30 19:12:03 +0000 2020        RolexCola   \n",
              "12653  Wed Sep 30 22:42:35 +0000 2020          DeeKno_   \n",
              "12654  Wed Sep 30 23:06:12 +0000 2009       ChipFranks   \n",
              "12655  Wed Sep 30 23:38:29 +0000 2009        moni_lisa   \n",
              "\n",
              "0                                                                                                                                                                                                                                                                                 text  \\\n",
              "0                                                                                                                                                                                                                  @theofficepirate You bro remember them talking about monkey pox lol   \n",
              "1                                                                                                                                                                                                                                        oh monkey POX? I thought you said monkey POGS   \n",
              "2                                                                                                                                                                                                                        If I get monkey pox y’all gotta bring me the juiciest bananas   \n",
              "3      Great, the initial Monkey pox symptoms read like how I generally feel. People in both England and Scotland have been quarantined.\\n\\nInitial symptoms of monkeypox include fever, headache, muscle aches, backache, swollen lymph nodes, chills and exhaustion, the UKHSA said.   \n",
              "4                                     @freidergeist @Cameo3D @pullenmyleg_ @Breaking911 If an mRNA vaxx is announced for monkey pox, regardless of its pandemic level, I will  say cameo 3D is right. \\nIf this is referenced in any way to push a small pox vax, cameo is still right   \n",
              "...                                                                                                                                                                                                                                                                                ...   \n",
              "12651                                                                                                                                                                               @thecoastguy @TimNielsenDay Patent applied for on June 22, 2021.  [See Docket No. FDA-2020-E-1328]   \n",
              "12652                                                                                                                                                                                                                                           Ian Brown looks like he has monkey pox   \n",
              "12653                                                                                                                                                                                                                 @SkyNews how tf are people contracting “monkey pox” in the UK 😭?   \n",
              "12654                                                 @ConceptualJames We really need a legitimate law enforcement agency to go after these fellows.\\n\\nEvent 201 COULD have been luck. An accurate prediction of monkey pox means they’re causing it somehow.\\n\\nWe need to get them!   \n",
              "12655                                                                                                                                                                                                                              What you mean “monkey pox”? https://t.co/lin02LJgCF   \n",
              "\n",
              "0                                                           tweet_url  \\\n",
              "0              https://twitter.com/Jyates5/status/1527043704967528453   \n",
              "1          https://twitter.com/LeftistHank/status/1527751952448344065   \n",
              "2       https://twitter.com/MyNameIsRickyM/status/1528100542345527296   \n",
              "3         https://twitter.com/Just_sue_now/status/1525370151025115137   \n",
              "4           https://twitter.com/JackPaceSr/status/1527035801871294464   \n",
              "...                                                               ...   \n",
              "12651  https://twitter.com/theoceanlawyers/status/1527328539648745473   \n",
              "12652        https://twitter.com/RolexCola/status/1527779614554218496   \n",
              "12653          https://twitter.com/DeeKno_/status/1525802680890888193   \n",
              "12654       https://twitter.com/ChipFranks/status/1527767273225609217   \n",
              "12655        https://twitter.com/moni_lisa/status/1527073468948393988   \n",
              "\n",
              "0              user_location hashtags  \n",
              "0                                      \n",
              "1                Chicago, IL           \n",
              "2                       Ohio           \n",
              "3       Cumbernauld, Glasgow           \n",
              "4           Here, before you           \n",
              "...                      ...      ...  \n",
              "12651         Palm Beach, FL           \n",
              "12652  Gay Street, Baltimore           \n",
              "12653                                  \n",
              "12654  God’s Country (Texas)           \n",
              "12655                                  \n",
              "\n",
              "[12656 rows x 6 columns]"
            ],
            "text/html": [
              "\n",
              "  <div id=\"df-9e135fc8-1861-4efc-a87c-c1da959a96af\">\n",
              "    <div class=\"colab-df-container\">\n",
              "      <div>\n",
              "<style scoped>\n",
              "    .dataframe tbody tr th:only-of-type {\n",
              "        vertical-align: middle;\n",
              "    }\n",
              "\n",
              "    .dataframe tbody tr th {\n",
              "        vertical-align: top;\n",
              "    }\n",
              "\n",
              "    .dataframe thead th {\n",
              "        text-align: right;\n",
              "    }\n",
              "</style>\n",
              "<table border=\"1\" class=\"dataframe\">\n",
              "  <thead>\n",
              "    <tr style=\"text-align: right;\">\n",
              "      <th></th>\n",
              "      <th>user_created_at</th>\n",
              "      <th>user_screen_name</th>\n",
              "      <th>text</th>\n",
              "      <th>tweet_url</th>\n",
              "      <th>user_location</th>\n",
              "      <th>hashtags</th>\n",
              "    </tr>\n",
              "  </thead>\n",
              "  <tbody>\n",
              "    <tr>\n",
              "      <th>0</th>\n",
              "      <td>Fri Apr 01 00:29:41 +0000 2011</td>\n",
              "      <td>Jyates5</td>\n",
              "      <td>@theofficepirate You bro remember them talking about monkey pox lol</td>\n",
              "      <td>https://twitter.com/Jyates5/status/1527043704967528453</td>\n",
              "      <td></td>\n",
              "      <td></td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>1</th>\n",
              "      <td>Fri Apr 01 13:14:03 +0000 2022</td>\n",
              "      <td>LeftistHank</td>\n",
              "      <td>oh monkey POX? I thought you said monkey POGS</td>\n",
              "      <td>https://twitter.com/LeftistHank/status/1527751952448344065</td>\n",
              "      <td>Chicago, IL</td>\n",
              "      <td></td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>2</th>\n",
              "      <td>Fri Apr 01 15:12:02 +0000 2011</td>\n",
              "      <td>MyNameIsRickyM</td>\n",
              "      <td>If I get monkey pox y’all gotta bring me the juiciest bananas</td>\n",
              "      <td>https://twitter.com/MyNameIsRickyM/status/1528100542345527296</td>\n",
              "      <td>Ohio</td>\n",
              "      <td></td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>3</th>\n",
              "      <td>Fri Apr 01 16:27:26 +0000 2011</td>\n",
              "      <td>Just_sue_now</td>\n",
              "      <td>Great, the initial Monkey pox symptoms read like how I generally feel. People in both England and Scotland have been quarantined.\\n\\nInitial symptoms of monkeypox include fever, headache, muscle aches, backache, swollen lymph nodes, chills and exhaustion, the UKHSA said.</td>\n",
              "      <td>https://twitter.com/Just_sue_now/status/1525370151025115137</td>\n",
              "      <td>Cumbernauld, Glasgow</td>\n",
              "      <td></td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>4</th>\n",
              "      <td>Fri Apr 01 17:41:17 +0000 2016</td>\n",
              "      <td>JackPaceSr</td>\n",
              "      <td>@freidergeist @Cameo3D @pullenmyleg_ @Breaking911 If an mRNA vaxx is announced for monkey pox, regardless of its pandemic level, I will  say cameo 3D is right. \\nIf this is referenced in any way to push a small pox vax, cameo is still right</td>\n",
              "      <td>https://twitter.com/JackPaceSr/status/1527035801871294464</td>\n",
              "      <td>Here, before you</td>\n",
              "      <td></td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>...</th>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>12651</th>\n",
              "      <td>Wed Sep 30 18:20:38 +0000 2015</td>\n",
              "      <td>theoceanlawyers</td>\n",
              "      <td>@thecoastguy @TimNielsenDay Patent applied for on June 22, 2021.  [See Docket No. FDA-2020-E-1328]</td>\n",
              "      <td>https://twitter.com/theoceanlawyers/status/1527328539648745473</td>\n",
              "      <td>Palm Beach, FL</td>\n",
              "      <td></td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>12652</th>\n",
              "      <td>Wed Sep 30 19:12:03 +0000 2020</td>\n",
              "      <td>RolexCola</td>\n",
              "      <td>Ian Brown looks like he has monkey pox</td>\n",
              "      <td>https://twitter.com/RolexCola/status/1527779614554218496</td>\n",
              "      <td>Gay Street, Baltimore</td>\n",
              "      <td></td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>12653</th>\n",
              "      <td>Wed Sep 30 22:42:35 +0000 2020</td>\n",
              "      <td>DeeKno_</td>\n",
              "      <td>@SkyNews how tf are people contracting “monkey pox” in the UK 😭?</td>\n",
              "      <td>https://twitter.com/DeeKno_/status/1525802680890888193</td>\n",
              "      <td></td>\n",
              "      <td></td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>12654</th>\n",
              "      <td>Wed Sep 30 23:06:12 +0000 2009</td>\n",
              "      <td>ChipFranks</td>\n",
              "      <td>@ConceptualJames We really need a legitimate law enforcement agency to go after these fellows.\\n\\nEvent 201 COULD have been luck. An accurate prediction of monkey pox means they’re causing it somehow.\\n\\nWe need to get them!</td>\n",
              "      <td>https://twitter.com/ChipFranks/status/1527767273225609217</td>\n",
              "      <td>God’s Country (Texas)</td>\n",
              "      <td></td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>12655</th>\n",
              "      <td>Wed Sep 30 23:38:29 +0000 2009</td>\n",
              "      <td>moni_lisa</td>\n",
              "      <td>What you mean “monkey pox”? https://t.co/lin02LJgCF</td>\n",
              "      <td>https://twitter.com/moni_lisa/status/1527073468948393988</td>\n",
              "      <td></td>\n",
              "      <td></td>\n",
              "    </tr>\n",
              "  </tbody>\n",
              "</table>\n",
              "<p>12656 rows × 6 columns</p>\n",
              "</div>\n",
              "      <button class=\"colab-df-convert\" onclick=\"convertToInteractive('df-9e135fc8-1861-4efc-a87c-c1da959a96af')\"\n",
              "              title=\"Convert this dataframe to an interactive table.\"\n",
              "              style=\"display:none;\">\n",
              "        \n",
              "  <svg xmlns=\"http://www.w3.org/2000/svg\" height=\"24px\"viewBox=\"0 0 24 24\"\n",
              "       width=\"24px\">\n",
              "    <path d=\"M0 0h24v24H0V0z\" fill=\"none\"/>\n",
              "    <path d=\"M18.56 5.44l.94 2.06.94-2.06 2.06-.94-2.06-.94-.94-2.06-.94 2.06-2.06.94zm-11 1L8.5 8.5l.94-2.06 2.06-.94-2.06-.94L8.5 2.5l-.94 2.06-2.06.94zm10 10l.94 2.06.94-2.06 2.06-.94-2.06-.94-.94-2.06-.94 2.06-2.06.94z\"/><path d=\"M17.41 7.96l-1.37-1.37c-.4-.4-.92-.59-1.43-.59-.52 0-1.04.2-1.43.59L10.3 9.45l-7.72 7.72c-.78.78-.78 2.05 0 2.83L4 21.41c.39.39.9.59 1.41.59.51 0 1.02-.2 1.41-.59l7.78-7.78 2.81-2.81c.8-.78.8-2.07 0-2.86zM5.41 20L4 18.59l7.72-7.72 1.47 1.35L5.41 20z\"/>\n",
              "  </svg>\n",
              "      </button>\n",
              "      \n",
              "  <style>\n",
              "    .colab-df-container {\n",
              "      display:flex;\n",
              "      flex-wrap:wrap;\n",
              "      gap: 12px;\n",
              "    }\n",
              "\n",
              "    .colab-df-convert {\n",
              "      background-color: #E8F0FE;\n",
              "      border: none;\n",
              "      border-radius: 50%;\n",
              "      cursor: pointer;\n",
              "      display: none;\n",
              "      fill: #1967D2;\n",
              "      height: 32px;\n",
              "      padding: 0 0 0 0;\n",
              "      width: 32px;\n",
              "    }\n",
              "\n",
              "    .colab-df-convert:hover {\n",
              "      background-color: #E2EBFA;\n",
              "      box-shadow: 0px 1px 2px rgba(60, 64, 67, 0.3), 0px 1px 3px 1px rgba(60, 64, 67, 0.15);\n",
              "      fill: #174EA6;\n",
              "    }\n",
              "\n",
              "    [theme=dark] .colab-df-convert {\n",
              "      background-color: #3B4455;\n",
              "      fill: #D2E3FC;\n",
              "    }\n",
              "\n",
              "    [theme=dark] .colab-df-convert:hover {\n",
              "      background-color: #434B5C;\n",
              "      box-shadow: 0px 1px 3px 1px rgba(0, 0, 0, 0.15);\n",
              "      filter: drop-shadow(0px 1px 2px rgba(0, 0, 0, 0.3));\n",
              "      fill: #FFFFFF;\n",
              "    }\n",
              "  </style>\n",
              "\n",
              "      <script>\n",
              "        const buttonEl =\n",
              "          document.querySelector('#df-9e135fc8-1861-4efc-a87c-c1da959a96af button.colab-df-convert');\n",
              "        buttonEl.style.display =\n",
              "          google.colab.kernel.accessAllowed ? 'block' : 'none';\n",
              "\n",
              "        async function convertToInteractive(key) {\n",
              "          const element = document.querySelector('#df-9e135fc8-1861-4efc-a87c-c1da959a96af');\n",
              "          const dataTable =\n",
              "            await google.colab.kernel.invokeFunction('convertToInteractive',\n",
              "                                                     [key], {});\n",
              "          if (!dataTable) return;\n",
              "\n",
              "          const docLinkHtml = 'Like what you see? Visit the ' +\n",
              "            '<a target=\"_blank\" href=https://colab.research.google.com/notebooks/data_table.ipynb>data table notebook</a>'\n",
              "            + ' to learn more about interactive tables.';\n",
              "          element.innerHTML = '';\n",
              "          dataTable['output_type'] = 'display_data';\n",
              "          await google.colab.output.renderOutput(dataTable, element);\n",
              "          const docLink = document.createElement('div');\n",
              "          docLink.innerHTML = docLinkHtml;\n",
              "          element.appendChild(docLink);\n",
              "        }\n",
              "      </script>\n",
              "    </div>\n",
              "  </div>\n",
              "  "
            ]
          },
          "metadata": {},
          "execution_count": 27
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "tweets.to_csv('/content/tweets_eda.csv')"
      ],
      "metadata": {
        "id": "NDDhrTCIunnC"
      },
      "execution_count": 28,
      "outputs": []
    },
    {
      "cell_type": "markdown",
      "source": [
        "### 3.2  Clean rest of tweet data: `df` "
      ],
      "metadata": {
        "id": "cU53jJyMPZSH"
      }
    },
    {
      "cell_type": "code",
      "source": [
        "# continuing from section 2.3\n",
        "# use first row as col name, and drop first row before concatenating \n",
        "dfs = [df_1, df_2, df_3, df_4, df_5, df_6]\n",
        "\n",
        "for d in dfs: \n",
        "  d.columns = d.iloc[0]\n",
        "  d = d.drop(index=d.index[0],\n",
        "               axis=0,\n",
        "               inplace=True)"
      ],
      "metadata": {
        "id": "59FSYIkbInUs"
      },
      "execution_count": 29,
      "outputs": []
    },
    {
      "cell_type": "code",
      "source": [
        "df_2.head(3)"
      ],
      "metadata": {
        "id": "ZAKKdRFoT10P",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 341
        },
        "outputId": "ca898ed5-6789-452d-d144-a9a0015deb00"
      },
      "execution_count": 30,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "0 coordinates                      created_at hashtags media urls  \\\n",
              "1              Thu May 26 20:31:06 +0000 2022                       \n",
              "2              Sun May 22 22:20:07 +0000 2022                       \n",
              "3              Thu May 26 22:54:22 +0000 2022                       \n",
              "\n",
              "0 favorite_count                   id in_reply_to_screen_name  \\\n",
              "1              0  1529923099424178191         dustinbennett76   \n",
              "2              0  1528500983893983233            OnlineAlison   \n",
              "3              1  1529959154059730946                           \n",
              "\n",
              "0 in_reply_to_status_id in_reply_to_user_id  ... user_followers_count  \\\n",
              "1   1529921422134497287            43171823  ...                  182   \n",
              "2   1528484226969923586            24115438  ...                    1   \n",
              "3                                            ...                 2297   \n",
              "\n",
              "0 user_friends_count user_listed_count               user_location  \\\n",
              "1                501                 3                               \n",
              "2                 36                 0                               \n",
              "3               1311                 8  Johannesburg, South Africa   \n",
              "\n",
              "0         user_name user_screen_name user_statuses_count user_time_zone  \\\n",
              "1  Work in Progress      Kenny_Swift                8117                  \n",
              "2            Saniye       biirSaniye                 238                  \n",
              "3          Lebogang     lebza_mtwana               70755                  \n",
              "\n",
              "0 user_urls user_verified  \n",
              "1                   FALSE  \n",
              "2                   FALSE  \n",
              "3                   FALSE  \n",
              "\n",
              "[3 rows x 35 columns]"
            ],
            "text/html": [
              "\n",
              "  <div id=\"df-772ffbb9-9c78-47a3-b67f-3f4a91f3ffa5\">\n",
              "    <div class=\"colab-df-container\">\n",
              "      <div>\n",
              "<style scoped>\n",
              "    .dataframe tbody tr th:only-of-type {\n",
              "        vertical-align: middle;\n",
              "    }\n",
              "\n",
              "    .dataframe tbody tr th {\n",
              "        vertical-align: top;\n",
              "    }\n",
              "\n",
              "    .dataframe thead th {\n",
              "        text-align: right;\n",
              "    }\n",
              "</style>\n",
              "<table border=\"1\" class=\"dataframe\">\n",
              "  <thead>\n",
              "    <tr style=\"text-align: right;\">\n",
              "      <th></th>\n",
              "      <th>coordinates</th>\n",
              "      <th>created_at</th>\n",
              "      <th>hashtags</th>\n",
              "      <th>media</th>\n",
              "      <th>urls</th>\n",
              "      <th>favorite_count</th>\n",
              "      <th>id</th>\n",
              "      <th>in_reply_to_screen_name</th>\n",
              "      <th>in_reply_to_status_id</th>\n",
              "      <th>in_reply_to_user_id</th>\n",
              "      <th>...</th>\n",
              "      <th>user_followers_count</th>\n",
              "      <th>user_friends_count</th>\n",
              "      <th>user_listed_count</th>\n",
              "      <th>user_location</th>\n",
              "      <th>user_name</th>\n",
              "      <th>user_screen_name</th>\n",
              "      <th>user_statuses_count</th>\n",
              "      <th>user_time_zone</th>\n",
              "      <th>user_urls</th>\n",
              "      <th>user_verified</th>\n",
              "    </tr>\n",
              "  </thead>\n",
              "  <tbody>\n",
              "    <tr>\n",
              "      <th>1</th>\n",
              "      <td></td>\n",
              "      <td>Thu May 26 20:31:06 +0000 2022</td>\n",
              "      <td></td>\n",
              "      <td></td>\n",
              "      <td></td>\n",
              "      <td>0</td>\n",
              "      <td>1529923099424178191</td>\n",
              "      <td>dustinbennett76</td>\n",
              "      <td>1529921422134497287</td>\n",
              "      <td>43171823</td>\n",
              "      <td>...</td>\n",
              "      <td>182</td>\n",
              "      <td>501</td>\n",
              "      <td>3</td>\n",
              "      <td></td>\n",
              "      <td>Work in Progress</td>\n",
              "      <td>Kenny_Swift</td>\n",
              "      <td>8117</td>\n",
              "      <td></td>\n",
              "      <td></td>\n",
              "      <td>FALSE</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>2</th>\n",
              "      <td></td>\n",
              "      <td>Sun May 22 22:20:07 +0000 2022</td>\n",
              "      <td></td>\n",
              "      <td></td>\n",
              "      <td></td>\n",
              "      <td>0</td>\n",
              "      <td>1528500983893983233</td>\n",
              "      <td>OnlineAlison</td>\n",
              "      <td>1528484226969923586</td>\n",
              "      <td>24115438</td>\n",
              "      <td>...</td>\n",
              "      <td>1</td>\n",
              "      <td>36</td>\n",
              "      <td>0</td>\n",
              "      <td></td>\n",
              "      <td>Saniye</td>\n",
              "      <td>biirSaniye</td>\n",
              "      <td>238</td>\n",
              "      <td></td>\n",
              "      <td></td>\n",
              "      <td>FALSE</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>3</th>\n",
              "      <td></td>\n",
              "      <td>Thu May 26 22:54:22 +0000 2022</td>\n",
              "      <td></td>\n",
              "      <td></td>\n",
              "      <td></td>\n",
              "      <td>1</td>\n",
              "      <td>1529959154059730946</td>\n",
              "      <td></td>\n",
              "      <td></td>\n",
              "      <td></td>\n",
              "      <td>...</td>\n",
              "      <td>2297</td>\n",
              "      <td>1311</td>\n",
              "      <td>8</td>\n",
              "      <td>Johannesburg, South Africa</td>\n",
              "      <td>Lebogang</td>\n",
              "      <td>lebza_mtwana</td>\n",
              "      <td>70755</td>\n",
              "      <td></td>\n",
              "      <td></td>\n",
              "      <td>FALSE</td>\n",
              "    </tr>\n",
              "  </tbody>\n",
              "</table>\n",
              "<p>3 rows × 35 columns</p>\n",
              "</div>\n",
              "      <button class=\"colab-df-convert\" onclick=\"convertToInteractive('df-772ffbb9-9c78-47a3-b67f-3f4a91f3ffa5')\"\n",
              "              title=\"Convert this dataframe to an interactive table.\"\n",
              "              style=\"display:none;\">\n",
              "        \n",
              "  <svg xmlns=\"http://www.w3.org/2000/svg\" height=\"24px\"viewBox=\"0 0 24 24\"\n",
              "       width=\"24px\">\n",
              "    <path d=\"M0 0h24v24H0V0z\" fill=\"none\"/>\n",
              "    <path d=\"M18.56 5.44l.94 2.06.94-2.06 2.06-.94-2.06-.94-.94-2.06-.94 2.06-2.06.94zm-11 1L8.5 8.5l.94-2.06 2.06-.94-2.06-.94L8.5 2.5l-.94 2.06-2.06.94zm10 10l.94 2.06.94-2.06 2.06-.94-2.06-.94-.94-2.06-.94 2.06-2.06.94z\"/><path d=\"M17.41 7.96l-1.37-1.37c-.4-.4-.92-.59-1.43-.59-.52 0-1.04.2-1.43.59L10.3 9.45l-7.72 7.72c-.78.78-.78 2.05 0 2.83L4 21.41c.39.39.9.59 1.41.59.51 0 1.02-.2 1.41-.59l7.78-7.78 2.81-2.81c.8-.78.8-2.07 0-2.86zM5.41 20L4 18.59l7.72-7.72 1.47 1.35L5.41 20z\"/>\n",
              "  </svg>\n",
              "      </button>\n",
              "      \n",
              "  <style>\n",
              "    .colab-df-container {\n",
              "      display:flex;\n",
              "      flex-wrap:wrap;\n",
              "      gap: 12px;\n",
              "    }\n",
              "\n",
              "    .colab-df-convert {\n",
              "      background-color: #E8F0FE;\n",
              "      border: none;\n",
              "      border-radius: 50%;\n",
              "      cursor: pointer;\n",
              "      display: none;\n",
              "      fill: #1967D2;\n",
              "      height: 32px;\n",
              "      padding: 0 0 0 0;\n",
              "      width: 32px;\n",
              "    }\n",
              "\n",
              "    .colab-df-convert:hover {\n",
              "      background-color: #E2EBFA;\n",
              "      box-shadow: 0px 1px 2px rgba(60, 64, 67, 0.3), 0px 1px 3px 1px rgba(60, 64, 67, 0.15);\n",
              "      fill: #174EA6;\n",
              "    }\n",
              "\n",
              "    [theme=dark] .colab-df-convert {\n",
              "      background-color: #3B4455;\n",
              "      fill: #D2E3FC;\n",
              "    }\n",
              "\n",
              "    [theme=dark] .colab-df-convert:hover {\n",
              "      background-color: #434B5C;\n",
              "      box-shadow: 0px 1px 3px 1px rgba(0, 0, 0, 0.15);\n",
              "      filter: drop-shadow(0px 1px 2px rgba(0, 0, 0, 0.3));\n",
              "      fill: #FFFFFF;\n",
              "    }\n",
              "  </style>\n",
              "\n",
              "      <script>\n",
              "        const buttonEl =\n",
              "          document.querySelector('#df-772ffbb9-9c78-47a3-b67f-3f4a91f3ffa5 button.colab-df-convert');\n",
              "        buttonEl.style.display =\n",
              "          google.colab.kernel.accessAllowed ? 'block' : 'none';\n",
              "\n",
              "        async function convertToInteractive(key) {\n",
              "          const element = document.querySelector('#df-772ffbb9-9c78-47a3-b67f-3f4a91f3ffa5');\n",
              "          const dataTable =\n",
              "            await google.colab.kernel.invokeFunction('convertToInteractive',\n",
              "                                                     [key], {});\n",
              "          if (!dataTable) return;\n",
              "\n",
              "          const docLinkHtml = 'Like what you see? Visit the ' +\n",
              "            '<a target=\"_blank\" href=https://colab.research.google.com/notebooks/data_table.ipynb>data table notebook</a>'\n",
              "            + ' to learn more about interactive tables.';\n",
              "          element.innerHTML = '';\n",
              "          dataTable['output_type'] = 'display_data';\n",
              "          await google.colab.output.renderOutput(dataTable, element);\n",
              "          const docLink = document.createElement('div');\n",
              "          docLink.innerHTML = docLinkHtml;\n",
              "          element.appendChild(docLink);\n",
              "        }\n",
              "      </script>\n",
              "    </div>\n",
              "  </div>\n",
              "  "
            ]
          },
          "metadata": {},
          "execution_count": 30
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "# concatenate dfs\n",
        "df = pd.concat([df_1, df_2, df_3, df_4, df_5, df_6])\n",
        "df.tail()"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 473
        },
        "id": "4SeqODScHj1l",
        "outputId": "8c0962f6-dcf5-4ee5-a22c-a0924bfb19f1"
      },
      "execution_count": 31,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "0      coordinates                      created_at               hashtags  \\\n",
              "127936              Sat Jul 23 00:00:17 +0000 2022                          \n",
              "127937              Sat Jul 23 00:00:00 +0000 2022                          \n",
              "127938              Sat Jul 23 00:00:18 +0000 2022  Monkeypox HealthierJC   \n",
              "127939              Sat Jul 23 00:00:23 +0000 2022                          \n",
              "127940              Sat Jul 23 00:00:07 +0000 2022                          \n",
              "\n",
              "0                                                                    media  \\\n",
              "127936                                                                       \n",
              "127937                                                                       \n",
              "127938  https://twitter.com/HealthierJC/status/1550631856336506886/photo/1   \n",
              "127939                                                                       \n",
              "127940                                                                       \n",
              "\n",
              "0                                                                                                                  urls  \\\n",
              "127936  https://www.cdc.gov/poxvirus/monkeypox/transmission.html https://twitter.com/NBCNews/status/1550620740235530240   \n",
              "127937                  https://endpts.com/bavarian-nordics-monkeypox-vaccine-wins-positive-opinion-from-ema-committee/   \n",
              "127938                                                                                                                    \n",
              "127939                                                                   https://twitter.com/i/broadcasts/1OdKrBzXyMQKX   \n",
              "127940                             http://crweworld.com/article/world/2448896/2-children-diagnosed-with-monkeypox-in-us   \n",
              "\n",
              "0      favorite_count                   id in_reply_to_screen_name  \\\n",
              "127936              1  1550631852393828352                           \n",
              "127937              4  1550631781396729856                           \n",
              "127938              0  1550631856336506886                           \n",
              "127939              0  1550631877781835776                           \n",
              "127940              0  1550631810970750976                           \n",
              "\n",
              "0      in_reply_to_status_id in_reply_to_user_id  ... user_followers_count  \\\n",
              "127936                                            ...                  529   \n",
              "127937                                            ...                24498   \n",
              "127938                                            ...                 2330   \n",
              "127939                                            ...                 1818   \n",
              "127940                                            ...                 1051   \n",
              "\n",
              "0      user_friends_count user_listed_count    user_location        user_name  \\\n",
              "127936                972                21                             Wendy   \n",
              "127937                 40               530           Global   Endpoints News   \n",
              "127938               1582                32  Jersey City, NJ     Healthier JC   \n",
              "127939                942                34      Los Angeles  (((Luke Ford)))   \n",
              "127940               2047                42    Las Vegas, NV       Crwe World   \n",
              "\n",
              "0      user_screen_name user_statuses_count user_time_zone  \\\n",
              "127936           wmzraz               41861                  \n",
              "127937           endpts               44967                  \n",
              "127938      HealthierJC                8091                  \n",
              "127939         lukeford               61434                  \n",
              "127940        CrweWorld             1482340                  \n",
              "\n",
              "0                     user_urls user_verified  \n",
              "127936                                  FALSE  \n",
              "127937        http://endpts.com         FALSE  \n",
              "127938   http://healthierjc.com         FALSE  \n",
              "127939  http://www.lukeford.net         FALSE  \n",
              "127940     http://crweworld.com         FALSE  \n",
              "\n",
              "[5 rows x 35 columns]"
            ],
            "text/html": [
              "\n",
              "  <div id=\"df-758ad7e3-df48-44de-80fa-aaf77bc189db\">\n",
              "    <div class=\"colab-df-container\">\n",
              "      <div>\n",
              "<style scoped>\n",
              "    .dataframe tbody tr th:only-of-type {\n",
              "        vertical-align: middle;\n",
              "    }\n",
              "\n",
              "    .dataframe tbody tr th {\n",
              "        vertical-align: top;\n",
              "    }\n",
              "\n",
              "    .dataframe thead th {\n",
              "        text-align: right;\n",
              "    }\n",
              "</style>\n",
              "<table border=\"1\" class=\"dataframe\">\n",
              "  <thead>\n",
              "    <tr style=\"text-align: right;\">\n",
              "      <th></th>\n",
              "      <th>coordinates</th>\n",
              "      <th>created_at</th>\n",
              "      <th>hashtags</th>\n",
              "      <th>media</th>\n",
              "      <th>urls</th>\n",
              "      <th>favorite_count</th>\n",
              "      <th>id</th>\n",
              "      <th>in_reply_to_screen_name</th>\n",
              "      <th>in_reply_to_status_id</th>\n",
              "      <th>in_reply_to_user_id</th>\n",
              "      <th>...</th>\n",
              "      <th>user_followers_count</th>\n",
              "      <th>user_friends_count</th>\n",
              "      <th>user_listed_count</th>\n",
              "      <th>user_location</th>\n",
              "      <th>user_name</th>\n",
              "      <th>user_screen_name</th>\n",
              "      <th>user_statuses_count</th>\n",
              "      <th>user_time_zone</th>\n",
              "      <th>user_urls</th>\n",
              "      <th>user_verified</th>\n",
              "    </tr>\n",
              "  </thead>\n",
              "  <tbody>\n",
              "    <tr>\n",
              "      <th>127936</th>\n",
              "      <td></td>\n",
              "      <td>Sat Jul 23 00:00:17 +0000 2022</td>\n",
              "      <td></td>\n",
              "      <td></td>\n",
              "      <td>https://www.cdc.gov/poxvirus/monkeypox/transmission.html https://twitter.com/NBCNews/status/1550620740235530240</td>\n",
              "      <td>1</td>\n",
              "      <td>1550631852393828352</td>\n",
              "      <td></td>\n",
              "      <td></td>\n",
              "      <td></td>\n",
              "      <td>...</td>\n",
              "      <td>529</td>\n",
              "      <td>972</td>\n",
              "      <td>21</td>\n",
              "      <td></td>\n",
              "      <td>Wendy</td>\n",
              "      <td>wmzraz</td>\n",
              "      <td>41861</td>\n",
              "      <td></td>\n",
              "      <td></td>\n",
              "      <td>FALSE</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>127937</th>\n",
              "      <td></td>\n",
              "      <td>Sat Jul 23 00:00:00 +0000 2022</td>\n",
              "      <td></td>\n",
              "      <td></td>\n",
              "      <td>https://endpts.com/bavarian-nordics-monkeypox-vaccine-wins-positive-opinion-from-ema-committee/</td>\n",
              "      <td>4</td>\n",
              "      <td>1550631781396729856</td>\n",
              "      <td></td>\n",
              "      <td></td>\n",
              "      <td></td>\n",
              "      <td>...</td>\n",
              "      <td>24498</td>\n",
              "      <td>40</td>\n",
              "      <td>530</td>\n",
              "      <td>Global</td>\n",
              "      <td>Endpoints News</td>\n",
              "      <td>endpts</td>\n",
              "      <td>44967</td>\n",
              "      <td></td>\n",
              "      <td>http://endpts.com</td>\n",
              "      <td>FALSE</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>127938</th>\n",
              "      <td></td>\n",
              "      <td>Sat Jul 23 00:00:18 +0000 2022</td>\n",
              "      <td>Monkeypox HealthierJC</td>\n",
              "      <td>https://twitter.com/HealthierJC/status/1550631856336506886/photo/1</td>\n",
              "      <td></td>\n",
              "      <td>0</td>\n",
              "      <td>1550631856336506886</td>\n",
              "      <td></td>\n",
              "      <td></td>\n",
              "      <td></td>\n",
              "      <td>...</td>\n",
              "      <td>2330</td>\n",
              "      <td>1582</td>\n",
              "      <td>32</td>\n",
              "      <td>Jersey City, NJ</td>\n",
              "      <td>Healthier JC</td>\n",
              "      <td>HealthierJC</td>\n",
              "      <td>8091</td>\n",
              "      <td></td>\n",
              "      <td>http://healthierjc.com</td>\n",
              "      <td>FALSE</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>127939</th>\n",
              "      <td></td>\n",
              "      <td>Sat Jul 23 00:00:23 +0000 2022</td>\n",
              "      <td></td>\n",
              "      <td></td>\n",
              "      <td>https://twitter.com/i/broadcasts/1OdKrBzXyMQKX</td>\n",
              "      <td>0</td>\n",
              "      <td>1550631877781835776</td>\n",
              "      <td></td>\n",
              "      <td></td>\n",
              "      <td></td>\n",
              "      <td>...</td>\n",
              "      <td>1818</td>\n",
              "      <td>942</td>\n",
              "      <td>34</td>\n",
              "      <td>Los Angeles</td>\n",
              "      <td>(((Luke Ford)))</td>\n",
              "      <td>lukeford</td>\n",
              "      <td>61434</td>\n",
              "      <td></td>\n",
              "      <td>http://www.lukeford.net</td>\n",
              "      <td>FALSE</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>127940</th>\n",
              "      <td></td>\n",
              "      <td>Sat Jul 23 00:00:07 +0000 2022</td>\n",
              "      <td></td>\n",
              "      <td></td>\n",
              "      <td>http://crweworld.com/article/world/2448896/2-children-diagnosed-with-monkeypox-in-us</td>\n",
              "      <td>0</td>\n",
              "      <td>1550631810970750976</td>\n",
              "      <td></td>\n",
              "      <td></td>\n",
              "      <td></td>\n",
              "      <td>...</td>\n",
              "      <td>1051</td>\n",
              "      <td>2047</td>\n",
              "      <td>42</td>\n",
              "      <td>Las Vegas, NV</td>\n",
              "      <td>Crwe World</td>\n",
              "      <td>CrweWorld</td>\n",
              "      <td>1482340</td>\n",
              "      <td></td>\n",
              "      <td>http://crweworld.com</td>\n",
              "      <td>FALSE</td>\n",
              "    </tr>\n",
              "  </tbody>\n",
              "</table>\n",
              "<p>5 rows × 35 columns</p>\n",
              "</div>\n",
              "      <button class=\"colab-df-convert\" onclick=\"convertToInteractive('df-758ad7e3-df48-44de-80fa-aaf77bc189db')\"\n",
              "              title=\"Convert this dataframe to an interactive table.\"\n",
              "              style=\"display:none;\">\n",
              "        \n",
              "  <svg xmlns=\"http://www.w3.org/2000/svg\" height=\"24px\"viewBox=\"0 0 24 24\"\n",
              "       width=\"24px\">\n",
              "    <path d=\"M0 0h24v24H0V0z\" fill=\"none\"/>\n",
              "    <path d=\"M18.56 5.44l.94 2.06.94-2.06 2.06-.94-2.06-.94-.94-2.06-.94 2.06-2.06.94zm-11 1L8.5 8.5l.94-2.06 2.06-.94-2.06-.94L8.5 2.5l-.94 2.06-2.06.94zm10 10l.94 2.06.94-2.06 2.06-.94-2.06-.94-.94-2.06-.94 2.06-2.06.94z\"/><path d=\"M17.41 7.96l-1.37-1.37c-.4-.4-.92-.59-1.43-.59-.52 0-1.04.2-1.43.59L10.3 9.45l-7.72 7.72c-.78.78-.78 2.05 0 2.83L4 21.41c.39.39.9.59 1.41.59.51 0 1.02-.2 1.41-.59l7.78-7.78 2.81-2.81c.8-.78.8-2.07 0-2.86zM5.41 20L4 18.59l7.72-7.72 1.47 1.35L5.41 20z\"/>\n",
              "  </svg>\n",
              "      </button>\n",
              "      \n",
              "  <style>\n",
              "    .colab-df-container {\n",
              "      display:flex;\n",
              "      flex-wrap:wrap;\n",
              "      gap: 12px;\n",
              "    }\n",
              "\n",
              "    .colab-df-convert {\n",
              "      background-color: #E8F0FE;\n",
              "      border: none;\n",
              "      border-radius: 50%;\n",
              "      cursor: pointer;\n",
              "      display: none;\n",
              "      fill: #1967D2;\n",
              "      height: 32px;\n",
              "      padding: 0 0 0 0;\n",
              "      width: 32px;\n",
              "    }\n",
              "\n",
              "    .colab-df-convert:hover {\n",
              "      background-color: #E2EBFA;\n",
              "      box-shadow: 0px 1px 2px rgba(60, 64, 67, 0.3), 0px 1px 3px 1px rgba(60, 64, 67, 0.15);\n",
              "      fill: #174EA6;\n",
              "    }\n",
              "\n",
              "    [theme=dark] .colab-df-convert {\n",
              "      background-color: #3B4455;\n",
              "      fill: #D2E3FC;\n",
              "    }\n",
              "\n",
              "    [theme=dark] .colab-df-convert:hover {\n",
              "      background-color: #434B5C;\n",
              "      box-shadow: 0px 1px 3px 1px rgba(0, 0, 0, 0.15);\n",
              "      filter: drop-shadow(0px 1px 2px rgba(0, 0, 0, 0.3));\n",
              "      fill: #FFFFFF;\n",
              "    }\n",
              "  </style>\n",
              "\n",
              "      <script>\n",
              "        const buttonEl =\n",
              "          document.querySelector('#df-758ad7e3-df48-44de-80fa-aaf77bc189db button.colab-df-convert');\n",
              "        buttonEl.style.display =\n",
              "          google.colab.kernel.accessAllowed ? 'block' : 'none';\n",
              "\n",
              "        async function convertToInteractive(key) {\n",
              "          const element = document.querySelector('#df-758ad7e3-df48-44de-80fa-aaf77bc189db');\n",
              "          const dataTable =\n",
              "            await google.colab.kernel.invokeFunction('convertToInteractive',\n",
              "                                                     [key], {});\n",
              "          if (!dataTable) return;\n",
              "\n",
              "          const docLinkHtml = 'Like what you see? Visit the ' +\n",
              "            '<a target=\"_blank\" href=https://colab.research.google.com/notebooks/data_table.ipynb>data table notebook</a>'\n",
              "            + ' to learn more about interactive tables.';\n",
              "          element.innerHTML = '';\n",
              "          dataTable['output_type'] = 'display_data';\n",
              "          await google.colab.output.renderOutput(dataTable, element);\n",
              "          const docLink = document.createElement('div');\n",
              "          docLink.innerHTML = docLinkHtml;\n",
              "          element.appendChild(docLink);\n",
              "        }\n",
              "      </script>\n",
              "    </div>\n",
              "  </div>\n",
              "  "
            ]
          },
          "metadata": {},
          "execution_count": 31
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "df.info()"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "jBXkHAkYQLr6",
        "outputId": "a5032817-2b9c-4546-fb37-1be579aafc61"
      },
      "execution_count": 32,
      "outputs": [
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "<class 'pandas.core.frame.DataFrame'>\n",
            "Int64Index: 229181 entries, 1 to 127940\n",
            "Data columns (total 35 columns):\n",
            " #   Column                      Non-Null Count   Dtype \n",
            "---  ------                      --------------   ----- \n",
            " 0   coordinates                 229181 non-null  object\n",
            " 1   created_at                  229181 non-null  object\n",
            " 2   hashtags                    229181 non-null  object\n",
            " 3   media                       229181 non-null  object\n",
            " 4   urls                        229181 non-null  object\n",
            " 5   favorite_count              229181 non-null  object\n",
            " 6   id                          229181 non-null  object\n",
            " 7   in_reply_to_screen_name     229181 non-null  object\n",
            " 8   in_reply_to_status_id       229181 non-null  object\n",
            " 9   in_reply_to_user_id         229181 non-null  object\n",
            " 10  lang                        229181 non-null  object\n",
            " 11  place                       229181 non-null  object\n",
            " 12  possibly_sensitive          229181 non-null  object\n",
            " 13  quote_id                    229181 non-null  object\n",
            " 14  retweet_count               229181 non-null  object\n",
            " 15  retweet_id                  229181 non-null  object\n",
            " 16  retweet_screen_name         229181 non-null  object\n",
            " 17  source                      229181 non-null  object\n",
            " 18  text                        229181 non-null  object\n",
            " 19  tweet_url                   229181 non-null  object\n",
            " 20  user_created_at             229181 non-null  object\n",
            " 21  user_id                     229181 non-null  object\n",
            " 22  user_default_profile_image  229181 non-null  object\n",
            " 23  user_description            229181 non-null  object\n",
            " 24  user_favourites_count       229181 non-null  object\n",
            " 25  user_followers_count        229181 non-null  object\n",
            " 26  user_friends_count          229181 non-null  object\n",
            " 27  user_listed_count           229181 non-null  object\n",
            " 28  user_location               229181 non-null  object\n",
            " 29  user_name                   229181 non-null  object\n",
            " 30  user_screen_name            229181 non-null  object\n",
            " 31  user_statuses_count         229181 non-null  object\n",
            " 32  user_time_zone              229181 non-null  object\n",
            " 33  user_urls                   229181 non-null  object\n",
            " 34  user_verified               229181 non-null  object\n",
            "dtypes: object(35)\n",
            "memory usage: 62.9+ MB\n"
          ]
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "# Int64Index: 229181 entries, 1 to 127940, remove duplicates\n",
        "\n",
        "duplicateRows = df[df.duplicated()]\n",
        "duplicateRows"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 835
        },
        "id": "ChHTE1zieLyH",
        "outputId": "0529c898-b71b-4810-99bd-8c4bbebb5bfa"
      },
      "execution_count": 33,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "0      coordinates                      created_at       hashtags  \\\n",
              "352                 Sat May 14 10:31:43 +0000 2022                  \n",
              "828                 Thu May 19 18:33:40 +0000 2022                  \n",
              "887                 Wed May 18 20:58:11 +0000 2022      monkeypox   \n",
              "889                 Sat May 14 09:22:09 +0000 2022                  \n",
              "1390                Mon May 16 17:37:58 +0000 2022                  \n",
              "...            ...                             ...            ...   \n",
              "127905              Sat Jul 23 00:00:54 +0000 2022                  \n",
              "127922              Sat Jul 23 00:05:39 +0000 2022  monkeypox MPX   \n",
              "127928              Sat Jul 23 00:06:04 +0000 2022                  \n",
              "127931              Sat Jul 23 00:00:25 +0000 2022                  \n",
              "127936              Sat Jul 23 00:00:17 +0000 2022                  \n",
              "\n",
              "0                                                                       media  \\\n",
              "352                                                                             \n",
              "828                                                                             \n",
              "887                                                                             \n",
              "889                                                                             \n",
              "1390                                                                            \n",
              "...                                                                       ...   \n",
              "127905                                                                          \n",
              "127922  https://twitter.com/HelenBranswell/status/1550633203077103616/photo/1   \n",
              "127928                                                                          \n",
              "127931                                                                          \n",
              "127936                                                                          \n",
              "\n",
              "0                                                                                                                  urls  \\\n",
              "352                                                                                                                       \n",
              "828                        https://www.theatlantic.com/health/archive/2022/05/monkeypox-outbreak-covid-pandemic/629920/   \n",
              "887                                                                                                                       \n",
              "889                                                                                                                       \n",
              "1390                                                                                                                      \n",
              "...                                                                                                                 ...   \n",
              "127905                                                                                                                    \n",
              "127922                                                                                                                    \n",
              "127928                                                                                                                    \n",
              "127931                                                                                                                    \n",
              "127936  https://www.cdc.gov/poxvirus/monkeypox/transmission.html https://twitter.com/NBCNews/status/1550620740235530240   \n",
              "\n",
              "0      favorite_count                   id in_reply_to_screen_name  \\\n",
              "352               742  1525423607450566657                           \n",
              "828              5609  1527356834260013058                           \n",
              "887              6403  1527030815506432006                           \n",
              "889              3847  1525406097766588420                           \n",
              "1390               72  1526255652066172930                   UKHSA   \n",
              "...               ...                  ...                     ...   \n",
              "127905              0  1550632007763480578           Billyhottakes   \n",
              "127922            597  1550633203077103616                           \n",
              "127928              6  1550633306932346882                    VICE   \n",
              "127931              0  1550631884245217280              LandauDave   \n",
              "127936              1  1550631852393828352                           \n",
              "\n",
              "0      in_reply_to_status_id  in_reply_to_user_id  ... user_followers_count  \\\n",
              "352                                                ...                 1529   \n",
              "828                                                ...               399856   \n",
              "887                                                ...              1003091   \n",
              "889                                                ...              1003091   \n",
              "1390     1526255382573760515             41822696  ...               524731   \n",
              "...                      ...                  ...  ...                  ...   \n",
              "127905   1550594997887574019  1245183898826543000  ...                   46   \n",
              "127922                                             ...               231128   \n",
              "127928   1550631856567197696             23818581  ...                  406   \n",
              "127931   1550600625091756032            921614845  ...                    5   \n",
              "127936                                             ...                  529   \n",
              "\n",
              "0      user_friends_count user_listed_count     user_location  \\\n",
              "352                  1661                 2  Preston, England   \n",
              "828                  1964              8128           At home   \n",
              "887                  1034              5165                 🌍   \n",
              "889                  1034              5165                 🌍   \n",
              "1390                  711              3179    United Kingdom   \n",
              "...                   ...               ...               ...   \n",
              "127905                336                 0                     \n",
              "127922               2094              6990        Boston, MA   \n",
              "127928               1120                 0                     \n",
              "127931                 11                 0                     \n",
              "127936                972                21                     \n",
              "\n",
              "0                              user_name user_screen_name user_statuses_count  \\\n",
              "352     irrelevant Honky.🏴󠁧󠁢󠁥󠁮󠁧󠁿 (john).      british_ska               14836   \n",
              "828                              Ed Yong        edyong209              120276   \n",
              "887                          Disclose.tv       disclosetv                1008   \n",
              "889                          Disclose.tv       disclosetv                1008   \n",
              "1390           UK Health Security Agency            UKHSA               24830   \n",
              "...                                  ...              ...                 ...   \n",
              "127905                              Phil   ProcessCmplt76                4084   \n",
              "127922                Helen Branswell 🇺🇦   HelenBranswell               48482   \n",
              "127928                   T.W. Driedger 🏴     AnarchoMenno                3656   \n",
              "127931                            John W      Johnwill605                 911   \n",
              "127936                             Wendy           wmzraz               41861   \n",
              "\n",
              "0      user_time_zone  \\\n",
              "352                     \n",
              "828                     \n",
              "887                     \n",
              "889                     \n",
              "1390                    \n",
              "...               ...   \n",
              "127905                  \n",
              "127922                  \n",
              "127928                  \n",
              "127931                  \n",
              "127936                  \n",
              "\n",
              "0                                                                   user_urls  \\\n",
              "352                                                                             \n",
              "828                                http://www.theatlantic.com/author/ed-yong/   \n",
              "887                                                   https://www.disclose.tv   \n",
              "889                                                   https://www.disclose.tv   \n",
              "1390    https://www.gov.uk/government/organisations/uk-health-security-agency   \n",
              "...                                                                       ...   \n",
              "127905                                                                          \n",
              "127922                                                http://www.statnews.com   \n",
              "127928                                  https://livingstateless.substack.com/   \n",
              "127931                                                                          \n",
              "127936                                                                          \n",
              "\n",
              "0      user_verified  \n",
              "352            FALSE  \n",
              "828             TRUE  \n",
              "887            FALSE  \n",
              "889            FALSE  \n",
              "1390            TRUE  \n",
              "...              ...  \n",
              "127905         FALSE  \n",
              "127922          TRUE  \n",
              "127928         FALSE  \n",
              "127931         FALSE  \n",
              "127936         FALSE  \n",
              "\n",
              "[13816 rows x 35 columns]"
            ],
            "text/html": [
              "\n",
              "  <div id=\"df-38cf273a-aedc-4f4f-a098-151502e51432\">\n",
              "    <div class=\"colab-df-container\">\n",
              "      <div>\n",
              "<style scoped>\n",
              "    .dataframe tbody tr th:only-of-type {\n",
              "        vertical-align: middle;\n",
              "    }\n",
              "\n",
              "    .dataframe tbody tr th {\n",
              "        vertical-align: top;\n",
              "    }\n",
              "\n",
              "    .dataframe thead th {\n",
              "        text-align: right;\n",
              "    }\n",
              "</style>\n",
              "<table border=\"1\" class=\"dataframe\">\n",
              "  <thead>\n",
              "    <tr style=\"text-align: right;\">\n",
              "      <th></th>\n",
              "      <th>coordinates</th>\n",
              "      <th>created_at</th>\n",
              "      <th>hashtags</th>\n",
              "      <th>media</th>\n",
              "      <th>urls</th>\n",
              "      <th>favorite_count</th>\n",
              "      <th>id</th>\n",
              "      <th>in_reply_to_screen_name</th>\n",
              "      <th>in_reply_to_status_id</th>\n",
              "      <th>in_reply_to_user_id</th>\n",
              "      <th>...</th>\n",
              "      <th>user_followers_count</th>\n",
              "      <th>user_friends_count</th>\n",
              "      <th>user_listed_count</th>\n",
              "      <th>user_location</th>\n",
              "      <th>user_name</th>\n",
              "      <th>user_screen_name</th>\n",
              "      <th>user_statuses_count</th>\n",
              "      <th>user_time_zone</th>\n",
              "      <th>user_urls</th>\n",
              "      <th>user_verified</th>\n",
              "    </tr>\n",
              "  </thead>\n",
              "  <tbody>\n",
              "    <tr>\n",
              "      <th>352</th>\n",
              "      <td></td>\n",
              "      <td>Sat May 14 10:31:43 +0000 2022</td>\n",
              "      <td></td>\n",
              "      <td></td>\n",
              "      <td></td>\n",
              "      <td>742</td>\n",
              "      <td>1525423607450566657</td>\n",
              "      <td></td>\n",
              "      <td></td>\n",
              "      <td></td>\n",
              "      <td>...</td>\n",
              "      <td>1529</td>\n",
              "      <td>1661</td>\n",
              "      <td>2</td>\n",
              "      <td>Preston, England</td>\n",
              "      <td>irrelevant Honky.🏴󠁧󠁢󠁥󠁮󠁧󠁿 (john).</td>\n",
              "      <td>british_ska</td>\n",
              "      <td>14836</td>\n",
              "      <td></td>\n",
              "      <td></td>\n",
              "      <td>FALSE</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>828</th>\n",
              "      <td></td>\n",
              "      <td>Thu May 19 18:33:40 +0000 2022</td>\n",
              "      <td></td>\n",
              "      <td></td>\n",
              "      <td>https://www.theatlantic.com/health/archive/2022/05/monkeypox-outbreak-covid-pandemic/629920/</td>\n",
              "      <td>5609</td>\n",
              "      <td>1527356834260013058</td>\n",
              "      <td></td>\n",
              "      <td></td>\n",
              "      <td></td>\n",
              "      <td>...</td>\n",
              "      <td>399856</td>\n",
              "      <td>1964</td>\n",
              "      <td>8128</td>\n",
              "      <td>At home</td>\n",
              "      <td>Ed Yong</td>\n",
              "      <td>edyong209</td>\n",
              "      <td>120276</td>\n",
              "      <td></td>\n",
              "      <td>http://www.theatlantic.com/author/ed-yong/</td>\n",
              "      <td>TRUE</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>887</th>\n",
              "      <td></td>\n",
              "      <td>Wed May 18 20:58:11 +0000 2022</td>\n",
              "      <td>monkeypox</td>\n",
              "      <td></td>\n",
              "      <td></td>\n",
              "      <td>6403</td>\n",
              "      <td>1527030815506432006</td>\n",
              "      <td></td>\n",
              "      <td></td>\n",
              "      <td></td>\n",
              "      <td>...</td>\n",
              "      <td>1003091</td>\n",
              "      <td>1034</td>\n",
              "      <td>5165</td>\n",
              "      <td>🌍</td>\n",
              "      <td>Disclose.tv</td>\n",
              "      <td>disclosetv</td>\n",
              "      <td>1008</td>\n",
              "      <td></td>\n",
              "      <td>https://www.disclose.tv</td>\n",
              "      <td>FALSE</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>889</th>\n",
              "      <td></td>\n",
              "      <td>Sat May 14 09:22:09 +0000 2022</td>\n",
              "      <td></td>\n",
              "      <td></td>\n",
              "      <td></td>\n",
              "      <td>3847</td>\n",
              "      <td>1525406097766588420</td>\n",
              "      <td></td>\n",
              "      <td></td>\n",
              "      <td></td>\n",
              "      <td>...</td>\n",
              "      <td>1003091</td>\n",
              "      <td>1034</td>\n",
              "      <td>5165</td>\n",
              "      <td>🌍</td>\n",
              "      <td>Disclose.tv</td>\n",
              "      <td>disclosetv</td>\n",
              "      <td>1008</td>\n",
              "      <td></td>\n",
              "      <td>https://www.disclose.tv</td>\n",
              "      <td>FALSE</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>1390</th>\n",
              "      <td></td>\n",
              "      <td>Mon May 16 17:37:58 +0000 2022</td>\n",
              "      <td></td>\n",
              "      <td></td>\n",
              "      <td></td>\n",
              "      <td>72</td>\n",
              "      <td>1526255652066172930</td>\n",
              "      <td>UKHSA</td>\n",
              "      <td>1526255382573760515</td>\n",
              "      <td>41822696</td>\n",
              "      <td>...</td>\n",
              "      <td>524731</td>\n",
              "      <td>711</td>\n",
              "      <td>3179</td>\n",
              "      <td>United Kingdom</td>\n",
              "      <td>UK Health Security Agency</td>\n",
              "      <td>UKHSA</td>\n",
              "      <td>24830</td>\n",
              "      <td></td>\n",
              "      <td>https://www.gov.uk/government/organisations/uk-health-security-agency</td>\n",
              "      <td>TRUE</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>...</th>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>127905</th>\n",
              "      <td></td>\n",
              "      <td>Sat Jul 23 00:00:54 +0000 2022</td>\n",
              "      <td></td>\n",
              "      <td></td>\n",
              "      <td></td>\n",
              "      <td>0</td>\n",
              "      <td>1550632007763480578</td>\n",
              "      <td>Billyhottakes</td>\n",
              "      <td>1550594997887574019</td>\n",
              "      <td>1245183898826543000</td>\n",
              "      <td>...</td>\n",
              "      <td>46</td>\n",
              "      <td>336</td>\n",
              "      <td>0</td>\n",
              "      <td></td>\n",
              "      <td>Phil</td>\n",
              "      <td>ProcessCmplt76</td>\n",
              "      <td>4084</td>\n",
              "      <td></td>\n",
              "      <td></td>\n",
              "      <td>FALSE</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>127922</th>\n",
              "      <td></td>\n",
              "      <td>Sat Jul 23 00:05:39 +0000 2022</td>\n",
              "      <td>monkeypox MPX</td>\n",
              "      <td>https://twitter.com/HelenBranswell/status/1550633203077103616/photo/1</td>\n",
              "      <td></td>\n",
              "      <td>597</td>\n",
              "      <td>1550633203077103616</td>\n",
              "      <td></td>\n",
              "      <td></td>\n",
              "      <td></td>\n",
              "      <td>...</td>\n",
              "      <td>231128</td>\n",
              "      <td>2094</td>\n",
              "      <td>6990</td>\n",
              "      <td>Boston, MA</td>\n",
              "      <td>Helen Branswell 🇺🇦</td>\n",
              "      <td>HelenBranswell</td>\n",
              "      <td>48482</td>\n",
              "      <td></td>\n",
              "      <td>http://www.statnews.com</td>\n",
              "      <td>TRUE</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>127928</th>\n",
              "      <td></td>\n",
              "      <td>Sat Jul 23 00:06:04 +0000 2022</td>\n",
              "      <td></td>\n",
              "      <td></td>\n",
              "      <td></td>\n",
              "      <td>6</td>\n",
              "      <td>1550633306932346882</td>\n",
              "      <td>VICE</td>\n",
              "      <td>1550631856567197696</td>\n",
              "      <td>23818581</td>\n",
              "      <td>...</td>\n",
              "      <td>406</td>\n",
              "      <td>1120</td>\n",
              "      <td>0</td>\n",
              "      <td></td>\n",
              "      <td>T.W. Driedger 🏴</td>\n",
              "      <td>AnarchoMenno</td>\n",
              "      <td>3656</td>\n",
              "      <td></td>\n",
              "      <td>https://livingstateless.substack.com/</td>\n",
              "      <td>FALSE</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>127931</th>\n",
              "      <td></td>\n",
              "      <td>Sat Jul 23 00:00:25 +0000 2022</td>\n",
              "      <td></td>\n",
              "      <td></td>\n",
              "      <td></td>\n",
              "      <td>0</td>\n",
              "      <td>1550631884245217280</td>\n",
              "      <td>LandauDave</td>\n",
              "      <td>1550600625091756032</td>\n",
              "      <td>921614845</td>\n",
              "      <td>...</td>\n",
              "      <td>5</td>\n",
              "      <td>11</td>\n",
              "      <td>0</td>\n",
              "      <td></td>\n",
              "      <td>John W</td>\n",
              "      <td>Johnwill605</td>\n",
              "      <td>911</td>\n",
              "      <td></td>\n",
              "      <td></td>\n",
              "      <td>FALSE</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>127936</th>\n",
              "      <td></td>\n",
              "      <td>Sat Jul 23 00:00:17 +0000 2022</td>\n",
              "      <td></td>\n",
              "      <td></td>\n",
              "      <td>https://www.cdc.gov/poxvirus/monkeypox/transmission.html https://twitter.com/NBCNews/status/1550620740235530240</td>\n",
              "      <td>1</td>\n",
              "      <td>1550631852393828352</td>\n",
              "      <td></td>\n",
              "      <td></td>\n",
              "      <td></td>\n",
              "      <td>...</td>\n",
              "      <td>529</td>\n",
              "      <td>972</td>\n",
              "      <td>21</td>\n",
              "      <td></td>\n",
              "      <td>Wendy</td>\n",
              "      <td>wmzraz</td>\n",
              "      <td>41861</td>\n",
              "      <td></td>\n",
              "      <td></td>\n",
              "      <td>FALSE</td>\n",
              "    </tr>\n",
              "  </tbody>\n",
              "</table>\n",
              "<p>13816 rows × 35 columns</p>\n",
              "</div>\n",
              "      <button class=\"colab-df-convert\" onclick=\"convertToInteractive('df-38cf273a-aedc-4f4f-a098-151502e51432')\"\n",
              "              title=\"Convert this dataframe to an interactive table.\"\n",
              "              style=\"display:none;\">\n",
              "        \n",
              "  <svg xmlns=\"http://www.w3.org/2000/svg\" height=\"24px\"viewBox=\"0 0 24 24\"\n",
              "       width=\"24px\">\n",
              "    <path d=\"M0 0h24v24H0V0z\" fill=\"none\"/>\n",
              "    <path d=\"M18.56 5.44l.94 2.06.94-2.06 2.06-.94-2.06-.94-.94-2.06-.94 2.06-2.06.94zm-11 1L8.5 8.5l.94-2.06 2.06-.94-2.06-.94L8.5 2.5l-.94 2.06-2.06.94zm10 10l.94 2.06.94-2.06 2.06-.94-2.06-.94-.94-2.06-.94 2.06-2.06.94z\"/><path d=\"M17.41 7.96l-1.37-1.37c-.4-.4-.92-.59-1.43-.59-.52 0-1.04.2-1.43.59L10.3 9.45l-7.72 7.72c-.78.78-.78 2.05 0 2.83L4 21.41c.39.39.9.59 1.41.59.51 0 1.02-.2 1.41-.59l7.78-7.78 2.81-2.81c.8-.78.8-2.07 0-2.86zM5.41 20L4 18.59l7.72-7.72 1.47 1.35L5.41 20z\"/>\n",
              "  </svg>\n",
              "      </button>\n",
              "      \n",
              "  <style>\n",
              "    .colab-df-container {\n",
              "      display:flex;\n",
              "      flex-wrap:wrap;\n",
              "      gap: 12px;\n",
              "    }\n",
              "\n",
              "    .colab-df-convert {\n",
              "      background-color: #E8F0FE;\n",
              "      border: none;\n",
              "      border-radius: 50%;\n",
              "      cursor: pointer;\n",
              "      display: none;\n",
              "      fill: #1967D2;\n",
              "      height: 32px;\n",
              "      padding: 0 0 0 0;\n",
              "      width: 32px;\n",
              "    }\n",
              "\n",
              "    .colab-df-convert:hover {\n",
              "      background-color: #E2EBFA;\n",
              "      box-shadow: 0px 1px 2px rgba(60, 64, 67, 0.3), 0px 1px 3px 1px rgba(60, 64, 67, 0.15);\n",
              "      fill: #174EA6;\n",
              "    }\n",
              "\n",
              "    [theme=dark] .colab-df-convert {\n",
              "      background-color: #3B4455;\n",
              "      fill: #D2E3FC;\n",
              "    }\n",
              "\n",
              "    [theme=dark] .colab-df-convert:hover {\n",
              "      background-color: #434B5C;\n",
              "      box-shadow: 0px 1px 3px 1px rgba(0, 0, 0, 0.15);\n",
              "      filter: drop-shadow(0px 1px 2px rgba(0, 0, 0, 0.3));\n",
              "      fill: #FFFFFF;\n",
              "    }\n",
              "  </style>\n",
              "\n",
              "      <script>\n",
              "        const buttonEl =\n",
              "          document.querySelector('#df-38cf273a-aedc-4f4f-a098-151502e51432 button.colab-df-convert');\n",
              "        buttonEl.style.display =\n",
              "          google.colab.kernel.accessAllowed ? 'block' : 'none';\n",
              "\n",
              "        async function convertToInteractive(key) {\n",
              "          const element = document.querySelector('#df-38cf273a-aedc-4f4f-a098-151502e51432');\n",
              "          const dataTable =\n",
              "            await google.colab.kernel.invokeFunction('convertToInteractive',\n",
              "                                                     [key], {});\n",
              "          if (!dataTable) return;\n",
              "\n",
              "          const docLinkHtml = 'Like what you see? Visit the ' +\n",
              "            '<a target=\"_blank\" href=https://colab.research.google.com/notebooks/data_table.ipynb>data table notebook</a>'\n",
              "            + ' to learn more about interactive tables.';\n",
              "          element.innerHTML = '';\n",
              "          dataTable['output_type'] = 'display_data';\n",
              "          await google.colab.output.renderOutput(dataTable, element);\n",
              "          const docLink = document.createElement('div');\n",
              "          docLink.innerHTML = docLinkHtml;\n",
              "          element.appendChild(docLink);\n",
              "        }\n",
              "      </script>\n",
              "    </div>\n",
              "  </div>\n",
              "  "
            ]
          },
          "metadata": {},
          "execution_count": 33
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "df.drop_duplicates(subset=None, inplace=True)"
      ],
      "metadata": {
        "id": "mvNy1rUyeL68"
      },
      "execution_count": 34,
      "outputs": []
    },
    {
      "cell_type": "code",
      "source": [
        "df.info()"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "5oJr4u2XgILn",
        "outputId": "7d3852b9-3542-4dfd-c3e3-63617b2340a0"
      },
      "execution_count": 35,
      "outputs": [
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "<class 'pandas.core.frame.DataFrame'>\n",
            "Int64Index: 215365 entries, 1 to 127940\n",
            "Data columns (total 35 columns):\n",
            " #   Column                      Non-Null Count   Dtype \n",
            "---  ------                      --------------   ----- \n",
            " 0   coordinates                 215365 non-null  object\n",
            " 1   created_at                  215365 non-null  object\n",
            " 2   hashtags                    215365 non-null  object\n",
            " 3   media                       215365 non-null  object\n",
            " 4   urls                        215365 non-null  object\n",
            " 5   favorite_count              215365 non-null  object\n",
            " 6   id                          215365 non-null  object\n",
            " 7   in_reply_to_screen_name     215365 non-null  object\n",
            " 8   in_reply_to_status_id       215365 non-null  object\n",
            " 9   in_reply_to_user_id         215365 non-null  object\n",
            " 10  lang                        215365 non-null  object\n",
            " 11  place                       215365 non-null  object\n",
            " 12  possibly_sensitive          215365 non-null  object\n",
            " 13  quote_id                    215365 non-null  object\n",
            " 14  retweet_count               215365 non-null  object\n",
            " 15  retweet_id                  215365 non-null  object\n",
            " 16  retweet_screen_name         215365 non-null  object\n",
            " 17  source                      215365 non-null  object\n",
            " 18  text                        215365 non-null  object\n",
            " 19  tweet_url                   215365 non-null  object\n",
            " 20  user_created_at             215365 non-null  object\n",
            " 21  user_id                     215365 non-null  object\n",
            " 22  user_default_profile_image  215365 non-null  object\n",
            " 23  user_description            215365 non-null  object\n",
            " 24  user_favourites_count       215365 non-null  object\n",
            " 25  user_followers_count        215365 non-null  object\n",
            " 26  user_friends_count          215365 non-null  object\n",
            " 27  user_listed_count           215365 non-null  object\n",
            " 28  user_location               215365 non-null  object\n",
            " 29  user_name                   215365 non-null  object\n",
            " 30  user_screen_name            215365 non-null  object\n",
            " 31  user_statuses_count         215365 non-null  object\n",
            " 32  user_time_zone              215365 non-null  object\n",
            " 33  user_urls                   215365 non-null  object\n",
            " 34  user_verified               215365 non-null  object\n",
            "dtypes: object(35)\n",
            "memory usage: 59.2+ MB\n"
          ]
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "# filter for tweets in English\n",
        "print('English entries:', (df[df[\"lang\"] == 'en'].count())['lang'])"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "outputId": "9bbfa828-d54c-4a4f-9e79-68b91498795a",
        "id": "PhXH7uInTh9a"
      },
      "execution_count": 36,
      "outputs": [
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "English entries: 197594\n"
          ]
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "df = df[(df['lang'] == 'en')]\n",
        "df['lang'].unique()"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "WE6wo0HVVIn_",
        "outputId": "33d86789-8415-4ae1-acf3-527bd8678044"
      },
      "execution_count": 37,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "array(['en'], dtype=object)"
            ]
          },
          "metadata": {},
          "execution_count": 37
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "# convert timestamp to date\n",
        "df['date'] = pd.to_datetime(df['user_created_at'],\n",
        "                            format='%a %b %d %H:%M:%S +0000 %Y', \n",
        "                            errors='coerce').dt.date\n",
        "df[['date']][:2]"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 112
        },
        "id": "6-c4AaymQEWN",
        "outputId": "b6c18431-6f74-410f-fa25-8667c3a6f9cc"
      },
      "execution_count": 38,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "0        date\n",
              "1  2011-04-01\n",
              "2  2022-04-01"
            ],
            "text/html": [
              "\n",
              "  <div id=\"df-684b6876-773b-4eda-bdcf-c08ce37cc38e\">\n",
              "    <div class=\"colab-df-container\">\n",
              "      <div>\n",
              "<style scoped>\n",
              "    .dataframe tbody tr th:only-of-type {\n",
              "        vertical-align: middle;\n",
              "    }\n",
              "\n",
              "    .dataframe tbody tr th {\n",
              "        vertical-align: top;\n",
              "    }\n",
              "\n",
              "    .dataframe thead th {\n",
              "        text-align: right;\n",
              "    }\n",
              "</style>\n",
              "<table border=\"1\" class=\"dataframe\">\n",
              "  <thead>\n",
              "    <tr style=\"text-align: right;\">\n",
              "      <th></th>\n",
              "      <th>date</th>\n",
              "    </tr>\n",
              "  </thead>\n",
              "  <tbody>\n",
              "    <tr>\n",
              "      <th>1</th>\n",
              "      <td>2011-04-01</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>2</th>\n",
              "      <td>2022-04-01</td>\n",
              "    </tr>\n",
              "  </tbody>\n",
              "</table>\n",
              "</div>\n",
              "      <button class=\"colab-df-convert\" onclick=\"convertToInteractive('df-684b6876-773b-4eda-bdcf-c08ce37cc38e')\"\n",
              "              title=\"Convert this dataframe to an interactive table.\"\n",
              "              style=\"display:none;\">\n",
              "        \n",
              "  <svg xmlns=\"http://www.w3.org/2000/svg\" height=\"24px\"viewBox=\"0 0 24 24\"\n",
              "       width=\"24px\">\n",
              "    <path d=\"M0 0h24v24H0V0z\" fill=\"none\"/>\n",
              "    <path d=\"M18.56 5.44l.94 2.06.94-2.06 2.06-.94-2.06-.94-.94-2.06-.94 2.06-2.06.94zm-11 1L8.5 8.5l.94-2.06 2.06-.94-2.06-.94L8.5 2.5l-.94 2.06-2.06.94zm10 10l.94 2.06.94-2.06 2.06-.94-2.06-.94-.94-2.06-.94 2.06-2.06.94z\"/><path d=\"M17.41 7.96l-1.37-1.37c-.4-.4-.92-.59-1.43-.59-.52 0-1.04.2-1.43.59L10.3 9.45l-7.72 7.72c-.78.78-.78 2.05 0 2.83L4 21.41c.39.39.9.59 1.41.59.51 0 1.02-.2 1.41-.59l7.78-7.78 2.81-2.81c.8-.78.8-2.07 0-2.86zM5.41 20L4 18.59l7.72-7.72 1.47 1.35L5.41 20z\"/>\n",
              "  </svg>\n",
              "      </button>\n",
              "      \n",
              "  <style>\n",
              "    .colab-df-container {\n",
              "      display:flex;\n",
              "      flex-wrap:wrap;\n",
              "      gap: 12px;\n",
              "    }\n",
              "\n",
              "    .colab-df-convert {\n",
              "      background-color: #E8F0FE;\n",
              "      border: none;\n",
              "      border-radius: 50%;\n",
              "      cursor: pointer;\n",
              "      display: none;\n",
              "      fill: #1967D2;\n",
              "      height: 32px;\n",
              "      padding: 0 0 0 0;\n",
              "      width: 32px;\n",
              "    }\n",
              "\n",
              "    .colab-df-convert:hover {\n",
              "      background-color: #E2EBFA;\n",
              "      box-shadow: 0px 1px 2px rgba(60, 64, 67, 0.3), 0px 1px 3px 1px rgba(60, 64, 67, 0.15);\n",
              "      fill: #174EA6;\n",
              "    }\n",
              "\n",
              "    [theme=dark] .colab-df-convert {\n",
              "      background-color: #3B4455;\n",
              "      fill: #D2E3FC;\n",
              "    }\n",
              "\n",
              "    [theme=dark] .colab-df-convert:hover {\n",
              "      background-color: #434B5C;\n",
              "      box-shadow: 0px 1px 3px 1px rgba(0, 0, 0, 0.15);\n",
              "      filter: drop-shadow(0px 1px 2px rgba(0, 0, 0, 0.3));\n",
              "      fill: #FFFFFF;\n",
              "    }\n",
              "  </style>\n",
              "\n",
              "      <script>\n",
              "        const buttonEl =\n",
              "          document.querySelector('#df-684b6876-773b-4eda-bdcf-c08ce37cc38e button.colab-df-convert');\n",
              "        buttonEl.style.display =\n",
              "          google.colab.kernel.accessAllowed ? 'block' : 'none';\n",
              "\n",
              "        async function convertToInteractive(key) {\n",
              "          const element = document.querySelector('#df-684b6876-773b-4eda-bdcf-c08ce37cc38e');\n",
              "          const dataTable =\n",
              "            await google.colab.kernel.invokeFunction('convertToInteractive',\n",
              "                                                     [key], {});\n",
              "          if (!dataTable) return;\n",
              "\n",
              "          const docLinkHtml = 'Like what you see? Visit the ' +\n",
              "            '<a target=\"_blank\" href=https://colab.research.google.com/notebooks/data_table.ipynb>data table notebook</a>'\n",
              "            + ' to learn more about interactive tables.';\n",
              "          element.innerHTML = '';\n",
              "          dataTable['output_type'] = 'display_data';\n",
              "          await google.colab.output.renderOutput(dataTable, element);\n",
              "          const docLink = document.createElement('div');\n",
              "          docLink.innerHTML = docLinkHtml;\n",
              "          element.appendChild(docLink);\n",
              "        }\n",
              "      </script>\n",
              "    </div>\n",
              "  </div>\n",
              "  "
            ]
          },
          "metadata": {},
          "execution_count": 38
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "# convert date to datetime\n",
        "df['date'] = pd.to_datetime(df['date'])\n",
        "df.info()"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "2lijzAPT_Ebk",
        "outputId": "9596279e-888c-4f68-8535-a09e403de6f8"
      },
      "execution_count": 39,
      "outputs": [
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "<class 'pandas.core.frame.DataFrame'>\n",
            "Int64Index: 197594 entries, 1 to 127940\n",
            "Data columns (total 36 columns):\n",
            " #   Column                      Non-Null Count   Dtype         \n",
            "---  ------                      --------------   -----         \n",
            " 0   coordinates                 197594 non-null  object        \n",
            " 1   created_at                  197594 non-null  object        \n",
            " 2   hashtags                    197594 non-null  object        \n",
            " 3   media                       197594 non-null  object        \n",
            " 4   urls                        197594 non-null  object        \n",
            " 5   favorite_count              197594 non-null  object        \n",
            " 6   id                          197594 non-null  object        \n",
            " 7   in_reply_to_screen_name     197594 non-null  object        \n",
            " 8   in_reply_to_status_id       197594 non-null  object        \n",
            " 9   in_reply_to_user_id         197594 non-null  object        \n",
            " 10  lang                        197594 non-null  object        \n",
            " 11  place                       197594 non-null  object        \n",
            " 12  possibly_sensitive          197594 non-null  object        \n",
            " 13  quote_id                    197594 non-null  object        \n",
            " 14  retweet_count               197594 non-null  object        \n",
            " 15  retweet_id                  197594 non-null  object        \n",
            " 16  retweet_screen_name         197594 non-null  object        \n",
            " 17  source                      197594 non-null  object        \n",
            " 18  text                        197594 non-null  object        \n",
            " 19  tweet_url                   197594 non-null  object        \n",
            " 20  user_created_at             197594 non-null  object        \n",
            " 21  user_id                     197594 non-null  object        \n",
            " 22  user_default_profile_image  197594 non-null  object        \n",
            " 23  user_description            197594 non-null  object        \n",
            " 24  user_favourites_count       197594 non-null  object        \n",
            " 25  user_followers_count        197594 non-null  object        \n",
            " 26  user_friends_count          197594 non-null  object        \n",
            " 27  user_listed_count           197594 non-null  object        \n",
            " 28  user_location               197594 non-null  object        \n",
            " 29  user_name                   197594 non-null  object        \n",
            " 30  user_screen_name            197594 non-null  object        \n",
            " 31  user_statuses_count         197594 non-null  object        \n",
            " 32  user_time_zone              197594 non-null  object        \n",
            " 33  user_urls                   197594 non-null  object        \n",
            " 34  user_verified               197594 non-null  object        \n",
            " 35  date                        197594 non-null  datetime64[ns]\n",
            "dtypes: datetime64[ns](1), object(35)\n",
            "memory usage: 55.8+ MB\n"
          ]
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "# filter for tweets in 2022\n",
        "df = df.loc[(df['date'] >= '2022-01-01')]\n",
        "df.head(2)"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 275
        },
        "id": "sAXiwpvfQEWO",
        "outputId": "9da091c7-9512-49ff-d032-d924526f7768"
      },
      "execution_count": 40,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "0 coordinates                      created_at hashtags media urls  \\\n",
              "2              Fri May 20 20:43:44 +0000 2022                       \n",
              "6              Thu May 19 21:10:22 +0000 2022                       \n",
              "\n",
              "0 favorite_count                   id in_reply_to_screen_name  \\\n",
              "2              0  1527751952448344065                           \n",
              "6              2  1527396267633963019                           \n",
              "\n",
              "0 in_reply_to_status_id in_reply_to_user_id  ... user_friends_count  \\\n",
              "2                                            ...                553   \n",
              "6                                            ...                465   \n",
              "\n",
              "0 user_listed_count user_location user_name user_screen_name  \\\n",
              "2                 3   Chicago, IL   Patrick      LeftistHank   \n",
              "6                 0                   CACTI        YUCCAYAWN   \n",
              "\n",
              "0 user_statuses_count user_time_zone user_urls user_verified       date  \n",
              "2               10782                                  FALSE 2022-04-01  \n",
              "6                4113                                  FALSE 2022-04-01  \n",
              "\n",
              "[2 rows x 36 columns]"
            ],
            "text/html": [
              "\n",
              "  <div id=\"df-4b4057be-3687-4387-b594-4c6fdfa2740a\">\n",
              "    <div class=\"colab-df-container\">\n",
              "      <div>\n",
              "<style scoped>\n",
              "    .dataframe tbody tr th:only-of-type {\n",
              "        vertical-align: middle;\n",
              "    }\n",
              "\n",
              "    .dataframe tbody tr th {\n",
              "        vertical-align: top;\n",
              "    }\n",
              "\n",
              "    .dataframe thead th {\n",
              "        text-align: right;\n",
              "    }\n",
              "</style>\n",
              "<table border=\"1\" class=\"dataframe\">\n",
              "  <thead>\n",
              "    <tr style=\"text-align: right;\">\n",
              "      <th></th>\n",
              "      <th>coordinates</th>\n",
              "      <th>created_at</th>\n",
              "      <th>hashtags</th>\n",
              "      <th>media</th>\n",
              "      <th>urls</th>\n",
              "      <th>favorite_count</th>\n",
              "      <th>id</th>\n",
              "      <th>in_reply_to_screen_name</th>\n",
              "      <th>in_reply_to_status_id</th>\n",
              "      <th>in_reply_to_user_id</th>\n",
              "      <th>...</th>\n",
              "      <th>user_friends_count</th>\n",
              "      <th>user_listed_count</th>\n",
              "      <th>user_location</th>\n",
              "      <th>user_name</th>\n",
              "      <th>user_screen_name</th>\n",
              "      <th>user_statuses_count</th>\n",
              "      <th>user_time_zone</th>\n",
              "      <th>user_urls</th>\n",
              "      <th>user_verified</th>\n",
              "      <th>date</th>\n",
              "    </tr>\n",
              "  </thead>\n",
              "  <tbody>\n",
              "    <tr>\n",
              "      <th>2</th>\n",
              "      <td></td>\n",
              "      <td>Fri May 20 20:43:44 +0000 2022</td>\n",
              "      <td></td>\n",
              "      <td></td>\n",
              "      <td></td>\n",
              "      <td>0</td>\n",
              "      <td>1527751952448344065</td>\n",
              "      <td></td>\n",
              "      <td></td>\n",
              "      <td></td>\n",
              "      <td>...</td>\n",
              "      <td>553</td>\n",
              "      <td>3</td>\n",
              "      <td>Chicago, IL</td>\n",
              "      <td>Patrick</td>\n",
              "      <td>LeftistHank</td>\n",
              "      <td>10782</td>\n",
              "      <td></td>\n",
              "      <td></td>\n",
              "      <td>FALSE</td>\n",
              "      <td>2022-04-01</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>6</th>\n",
              "      <td></td>\n",
              "      <td>Thu May 19 21:10:22 +0000 2022</td>\n",
              "      <td></td>\n",
              "      <td></td>\n",
              "      <td></td>\n",
              "      <td>2</td>\n",
              "      <td>1527396267633963019</td>\n",
              "      <td></td>\n",
              "      <td></td>\n",
              "      <td></td>\n",
              "      <td>...</td>\n",
              "      <td>465</td>\n",
              "      <td>0</td>\n",
              "      <td></td>\n",
              "      <td>CACTI</td>\n",
              "      <td>YUCCAYAWN</td>\n",
              "      <td>4113</td>\n",
              "      <td></td>\n",
              "      <td></td>\n",
              "      <td>FALSE</td>\n",
              "      <td>2022-04-01</td>\n",
              "    </tr>\n",
              "  </tbody>\n",
              "</table>\n",
              "<p>2 rows × 36 columns</p>\n",
              "</div>\n",
              "      <button class=\"colab-df-convert\" onclick=\"convertToInteractive('df-4b4057be-3687-4387-b594-4c6fdfa2740a')\"\n",
              "              title=\"Convert this dataframe to an interactive table.\"\n",
              "              style=\"display:none;\">\n",
              "        \n",
              "  <svg xmlns=\"http://www.w3.org/2000/svg\" height=\"24px\"viewBox=\"0 0 24 24\"\n",
              "       width=\"24px\">\n",
              "    <path d=\"M0 0h24v24H0V0z\" fill=\"none\"/>\n",
              "    <path d=\"M18.56 5.44l.94 2.06.94-2.06 2.06-.94-2.06-.94-.94-2.06-.94 2.06-2.06.94zm-11 1L8.5 8.5l.94-2.06 2.06-.94-2.06-.94L8.5 2.5l-.94 2.06-2.06.94zm10 10l.94 2.06.94-2.06 2.06-.94-2.06-.94-.94-2.06-.94 2.06-2.06.94z\"/><path d=\"M17.41 7.96l-1.37-1.37c-.4-.4-.92-.59-1.43-.59-.52 0-1.04.2-1.43.59L10.3 9.45l-7.72 7.72c-.78.78-.78 2.05 0 2.83L4 21.41c.39.39.9.59 1.41.59.51 0 1.02-.2 1.41-.59l7.78-7.78 2.81-2.81c.8-.78.8-2.07 0-2.86zM5.41 20L4 18.59l7.72-7.72 1.47 1.35L5.41 20z\"/>\n",
              "  </svg>\n",
              "      </button>\n",
              "      \n",
              "  <style>\n",
              "    .colab-df-container {\n",
              "      display:flex;\n",
              "      flex-wrap:wrap;\n",
              "      gap: 12px;\n",
              "    }\n",
              "\n",
              "    .colab-df-convert {\n",
              "      background-color: #E8F0FE;\n",
              "      border: none;\n",
              "      border-radius: 50%;\n",
              "      cursor: pointer;\n",
              "      display: none;\n",
              "      fill: #1967D2;\n",
              "      height: 32px;\n",
              "      padding: 0 0 0 0;\n",
              "      width: 32px;\n",
              "    }\n",
              "\n",
              "    .colab-df-convert:hover {\n",
              "      background-color: #E2EBFA;\n",
              "      box-shadow: 0px 1px 2px rgba(60, 64, 67, 0.3), 0px 1px 3px 1px rgba(60, 64, 67, 0.15);\n",
              "      fill: #174EA6;\n",
              "    }\n",
              "\n",
              "    [theme=dark] .colab-df-convert {\n",
              "      background-color: #3B4455;\n",
              "      fill: #D2E3FC;\n",
              "    }\n",
              "\n",
              "    [theme=dark] .colab-df-convert:hover {\n",
              "      background-color: #434B5C;\n",
              "      box-shadow: 0px 1px 3px 1px rgba(0, 0, 0, 0.15);\n",
              "      filter: drop-shadow(0px 1px 2px rgba(0, 0, 0, 0.3));\n",
              "      fill: #FFFFFF;\n",
              "    }\n",
              "  </style>\n",
              "\n",
              "      <script>\n",
              "        const buttonEl =\n",
              "          document.querySelector('#df-4b4057be-3687-4387-b594-4c6fdfa2740a button.colab-df-convert');\n",
              "        buttonEl.style.display =\n",
              "          google.colab.kernel.accessAllowed ? 'block' : 'none';\n",
              "\n",
              "        async function convertToInteractive(key) {\n",
              "          const element = document.querySelector('#df-4b4057be-3687-4387-b594-4c6fdfa2740a');\n",
              "          const dataTable =\n",
              "            await google.colab.kernel.invokeFunction('convertToInteractive',\n",
              "                                                     [key], {});\n",
              "          if (!dataTable) return;\n",
              "\n",
              "          const docLinkHtml = 'Like what you see? Visit the ' +\n",
              "            '<a target=\"_blank\" href=https://colab.research.google.com/notebooks/data_table.ipynb>data table notebook</a>'\n",
              "            + ' to learn more about interactive tables.';\n",
              "          element.innerHTML = '';\n",
              "          dataTable['output_type'] = 'display_data';\n",
              "          await google.colab.output.renderOutput(dataTable, element);\n",
              "          const docLink = document.createElement('div');\n",
              "          docLink.innerHTML = docLinkHtml;\n",
              "          element.appendChild(docLink);\n",
              "        }\n",
              "      </script>\n",
              "    </div>\n",
              "  </div>\n",
              "  "
            ]
          },
          "metadata": {},
          "execution_count": 40
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "# explore location column\n",
        "print(df['user_location'].value_counts())\n",
        "print('\\n', 'Num unique:', df['user_location'].nunique())"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "WLaTtiYXQEWN",
        "outputId": "0a0dee24-3c49-4435-987f-98d2b43e4ff3"
      },
      "execution_count": 41,
      "outputs": [
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "                          15258\n",
            "Sullivans Island           1981\n",
            "United States               467\n",
            "Binance Smart Chain         225\n",
            "USA                         187\n",
            "                          ...  \n",
            "OR                            1\n",
            "Final Firing Position         1\n",
            "Hay Bay, Ontario              1\n",
            "Some Place Wild & Free        1\n",
            "North of the Wall             1\n",
            "Name: user_location, Length: 3818, dtype: int64\n",
            "\n",
            " Num unique: 3818\n"
          ]
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "# explore handles\n",
        "print(df['user_screen_name'].value_counts())\n",
        "print('\\n', 'Num unique:', df['user_screen_name'].nunique())"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "MGxkT98xaIZj",
        "outputId": "891afeeb-5d20-4886-f3f4-31f7c1c08698"
      },
      "execution_count": 42,
      "outputs": [
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "EMorgan52          1981\n",
            "RolandBakerIII      265\n",
            "MonkeyPoxBSC        225\n",
            "tickrob76           161\n",
            "bulletin_ex         153\n",
            "                   ... \n",
            "Thekingjames68        1\n",
            "UCRSAE                1\n",
            "NicolaiSavaskan       1\n",
            "bengalsfanman11       1\n",
            "LongCOVIDNatl         1\n",
            "Name: user_screen_name, Length: 15990, dtype: int64\n",
            "\n",
            " Num unique: 15990\n"
          ]
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "# remove numbers, punctuation, and capital letters from location column\n",
        "alphanumeric = lambda x: re.sub('\\w*\\d\\w*',' ', str(x))\n",
        "punc_lower = lambda x: re.sub('[%s]' % re.escape(string.punctuation), ' ', x.lower())\n",
        "                          \n",
        "df['user_location'] = df.user_location.map(alphanumeric).map(punc_lower)\n",
        "df.tail(20)"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 1000
        },
        "id": "Fx6jIR8CRYsY",
        "outputId": "2846d110-fe6a-4de3-c20f-39c73a85b037"
      },
      "execution_count": 43,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "0      coordinates                      created_at   hashtags  \\\n",
              "127668              Sat Jul 23 00:13:00 +0000 2022              \n",
              "127690              Sat Jul 23 00:13:10 +0000 2022              \n",
              "127711              Sat Jul 23 00:16:24 +0000 2022              \n",
              "127744              Sat Jul 23 00:13:22 +0000 2022              \n",
              "127745              Sat Jul 23 00:12:10 +0000 2022              \n",
              "127749              Sat Jul 23 00:06:11 +0000 2022              \n",
              "127775              Sat Jul 23 00:06:57 +0000 2022              \n",
              "127812              Sat Jul 23 00:11:36 +0000 2022              \n",
              "127815              Sat Jul 23 00:11:43 +0000 2022              \n",
              "127819              Sat Jul 23 00:11:33 +0000 2022              \n",
              "127842              Sat Jul 23 00:01:09 +0000 2022              \n",
              "127854              Sat Jul 23 00:05:22 +0000 2022              \n",
              "127856              Sat Jul 23 00:01:39 +0000 2022              \n",
              "127866              Sat Jul 23 00:01:32 +0000 2022              \n",
              "127867              Sat Jul 23 00:05:08 +0000 2022              \n",
              "127899              Sat Jul 23 00:05:13 +0000 2022              \n",
              "127900              Sat Jul 23 00:02:22 +0000 2022              \n",
              "127906              Sat Jul 23 00:04:14 +0000 2022              \n",
              "127911              Sat Jul 23 00:01:47 +0000 2022  monkeypox   \n",
              "127921              Sat Jul 23 00:01:54 +0000 2022              \n",
              "\n",
              "0                                                                    media  \\\n",
              "127668                                                                       \n",
              "127690                                                                       \n",
              "127711                                                                       \n",
              "127744                                                                       \n",
              "127745  https://twitter.com/Momof4Cats4/status/1550634841951113223/photo/1   \n",
              "127749                                                                       \n",
              "127775                                                                       \n",
              "127812                                                                       \n",
              "127815                                                                       \n",
              "127819                                                                       \n",
              "127842                                                                       \n",
              "127854                                                                       \n",
              "127856                                                                       \n",
              "127866                                                                       \n",
              "127867                                                                       \n",
              "127899                                                                       \n",
              "127900                                                                       \n",
              "127906                                                                       \n",
              "127911                                                                       \n",
              "127921                                                                       \n",
              "\n",
              "0                                                                                                                                                                                                                                urls  \\\n",
              "127668                                                                                                                                                                                                                                  \n",
              "127690                                                                                                                                                                                                                                  \n",
              "127711                                                                                                                                                                            https://exbulletin.com/world/international/1760717/   \n",
              "127744                                                                                               https://www.aol.com/news/monkeypox-virus-could-become-entrenched-041041732-145107239.html?soc_src=social-sh&soc_trk=tw&tsrc=twtr   \n",
              "127745                                                                                                                     https://globalnewsink.com/u-s-confirms-first-two-cases-of-monkeypox-in-children-one-case-is-in-california/   \n",
              "127749                                                                                               http://Globalnews.ca https://www.onzededepart.com/cbmimgh0dhbzoi8vz2xvymfsbmv3cy5jys9uzxdzlzkwmtaxotivbw9ua2v5cg94lxvzl9ibaaoc5/   \n",
              "127775                                                                                                                                                                                                                                  \n",
              "127812                                                                                                                                                  https://netionaldastak.com/monkeypox-us-confirms-first-two-cases-in-children/   \n",
              "127815                                                                                                                                                                                                                                  \n",
              "127819                                                                                                                                                            https://www.sciencedirect.com/science/article/pii/S1995820X22000414   \n",
              "127842                                                                                                                                                                                              https://share.smartnews.com/BRQEh   \n",
              "127854  https://alsadon.com/cbmis2h0dhbzoi8vd3d3lmnic25ld3muy29tl25ld3mvbw9ua2v5cg94lwnoawxkcmvulwzpcnn0lwnhc2vzlxutcy1jywxpzm9ybmlhl9ibt2h0dhbzoi8vd3d3lmnic25ld3muy29tl2ftcc9uzxdzl21vbmtlexbvec1jaglszhjlbi1maxjzdc1jyxnlcy11lxmt/   \n",
              "127856                                                                                                                                                                                                          http://dlvr.it/SVM8CC   \n",
              "127866                                                                                                   https://us.info-teknologi.web.id/2022/07/23/u-s-confirms-first-two-cases-of-monkeypox-in-children-one-case-is-in-california/   \n",
              "127867                                                                                                                                                                                              https://share.smartnews.com/9s6zZ   \n",
              "127899                                                                                                                                                                                                                                  \n",
              "127900                                                                                                                                                                                                                                  \n",
              "127906                                                                                                                                                                                                                                  \n",
              "127911                                                                                                                                                                  https://twitter.com/CeciliaGentili/status/1550479606607749121   \n",
              "127921                                                                                                   https://linkspublic.com/index.php/2022/07/23/us-confirms-first-two-cases-of-monkeypox-in-children-one-case-is-in-california/   \n",
              "\n",
              "0      favorite_count                   id in_reply_to_screen_name  \\\n",
              "127668              0  1550635051980914689                           \n",
              "127690              1  1550635094867681280           MorningAnswer   \n",
              "127711              0  1550635906607882240                           \n",
              "127744              0  1550635144997912577                           \n",
              "127745              1  1550634841951113223                           \n",
              "127749              0  1550633337013805056                           \n",
              "127775              1  1550633529914040320           benryanwriter   \n",
              "127812              0  1550634701626425345                           \n",
              "127815              1  1550634728256053248               suricidal   \n",
              "127819              0  1550634686568955905                           \n",
              "127842              0  1550632070166216705                           \n",
              "127854              0  1550633133011357699                           \n",
              "127856              0  1550632195533836288                           \n",
              "127866              1  1550632166773690368                           \n",
              "127867              0  1550633071904530432                           \n",
              "127899              0  1550633092921958400                SebGorka   \n",
              "127900              0  1550632375352164353           denise_dewald   \n",
              "127906              0  1550632843927326720               michaelbd   \n",
              "127911              5  1550632229868650496                           \n",
              "127921              0  1550632256741449728                           \n",
              "\n",
              "0      in_reply_to_status_id  in_reply_to_user_id  ... user_friends_count  \\\n",
              "127668                                             ...                  5   \n",
              "127690   1550631684193894402             58217912  ...                430   \n",
              "127711                                             ...                  1   \n",
              "127744                                             ...                 30   \n",
              "127745                                             ...              15724   \n",
              "127749                                             ...                  1   \n",
              "127775   1549596357983363072           1666939494  ...               1181   \n",
              "127812                                             ...               1489   \n",
              "127815   1550634528556851202  1433136669117517800  ...                171   \n",
              "127819                                             ...                 30   \n",
              "127842                                             ...                441   \n",
              "127854                                             ...                  1   \n",
              "127856                                             ...                 11   \n",
              "127866                                             ...                  1   \n",
              "127867                                             ...                441   \n",
              "127899   1550587464204652544           2417586104  ...                106   \n",
              "127900   1550455297206001664   760219193195302900  ...                147   \n",
              "127906   1550560797285355527              9840002  ...                661   \n",
              "127911                                             ...                469   \n",
              "127921                                             ...                 24   \n",
              "\n",
              "0      user_listed_count         user_location  \\\n",
              "127668                 0            new jersey   \n",
              "127690                 0         illinois  usa   \n",
              "127711                 1                         \n",
              "127744                 0                         \n",
              "127745                 4            queens  ny   \n",
              "127749                 1                         \n",
              "127775                 0      montréal  québec   \n",
              "127812                 0                         \n",
              "127815                 1                         \n",
              "127819                 0         polk city  fl   \n",
              "127842                 0                         \n",
              "127854                 1                         \n",
              "127856                 0                         \n",
              "127866                 1                         \n",
              "127867                 0                         \n",
              "127899                 0         las vegas  nv   \n",
              "127900                 0       ottawa  ontario   \n",
              "127906                 0  md   meowtains of wv   \n",
              "127911                57                         \n",
              "127921                 2                         \n",
              "\n",
              "0                            user_name user_screen_name user_statuses_count  \\\n",
              "127668                      U.S.A news        MfkrAlqrn                2856   \n",
              "127690                 OldArmyNurse4 🗽    OldArmyNurse4               23609   \n",
              "127711                      ExBulletin      bulletin_ex              158566   \n",
              "127744                    clare belote      BeloteClare                 528   \n",
              "127745                    Momof4Cats🐈🐱      Momof4Cats4               10900   \n",
              "127749                       a.belka70         ABelka70               23460   \n",
              "127775                         whatnot  whatnotwantsnot                2322   \n",
              "127812                 Netional Dastak        NetionalD               67625   \n",
              "127815           Professor niggaraneus       freejohnfr                2129   \n",
              "127819                       XDeddudeX         DeddudeX                  29   \n",
              "127842                    Taunya Curry    TaunyaCurry73                 545   \n",
              "127854                       a.belka70         ABelka70               23460   \n",
              "127856                     segirt news       SegirtNews               60370   \n",
              "127866                       abukayyis      abukayyis42               25491   \n",
              "127867                    Taunya Curry    TaunyaCurry73                 545   \n",
              "127899                 Linda Vassilion   VassilionLinda                8990   \n",
              "127900   Pete McAleese jr. Chimo All 🦫   pike_pole_pete                 952   \n",
              "127906                 HomeschooFoo 🇺🇸   FoolHomeschool                3042   \n",
              "127911  Network for Long COVID Justice    LongCOVIDNatl                 667   \n",
              "127921                  salim chaouche  salimchaouche20               43882   \n",
              "\n",
              "0      user_time_zone                                             user_urls  \\\n",
              "127668                                                                        \n",
              "127690                                                                        \n",
              "127711                                              https://exbulletin.com/   \n",
              "127744                                                                        \n",
              "127745                                                                        \n",
              "127749                                                                        \n",
              "127775                                                                        \n",
              "127812                                       https://www.netionaldastak.com   \n",
              "127815                                                                        \n",
              "127819                                                                        \n",
              "127842                                                                        \n",
              "127854                                                                        \n",
              "127856                                                http://www.segirt.com   \n",
              "127866                                                                        \n",
              "127867                                                                        \n",
              "127899                                                                        \n",
              "127900                                                                        \n",
              "127906                                                                        \n",
              "127911                 https://springboardhealthlab.org/long-covid-justice/   \n",
              "127921                                                                        \n",
              "\n",
              "0      user_verified       date  \n",
              "127668         FALSE 2022-04-02  \n",
              "127690         FALSE 2022-04-26  \n",
              "127711         FALSE 2022-01-14  \n",
              "127744         FALSE 2022-03-03  \n",
              "127745         FALSE 2022-04-14  \n",
              "127749         FALSE 2022-04-03  \n",
              "127775         FALSE 2022-05-04  \n",
              "127812         FALSE 2022-01-04  \n",
              "127815         FALSE 2022-07-17  \n",
              "127819         FALSE 2022-04-27  \n",
              "127842         FALSE 2022-03-27  \n",
              "127854         FALSE 2022-04-03  \n",
              "127856         FALSE 2022-04-17  \n",
              "127866         FALSE 2022-03-19  \n",
              "127867         FALSE 2022-03-27  \n",
              "127899         FALSE 2022-04-07  \n",
              "127900         FALSE 2022-04-21  \n",
              "127906         FALSE 2022-04-08  \n",
              "127911         FALSE 2022-02-08  \n",
              "127921         FALSE 2022-02-17  \n",
              "\n",
              "[20 rows x 36 columns]"
            ],
            "text/html": [
              "\n",
              "  <div id=\"df-eb45df16-b663-43a0-9088-367ef962fab7\">\n",
              "    <div class=\"colab-df-container\">\n",
              "      <div>\n",
              "<style scoped>\n",
              "    .dataframe tbody tr th:only-of-type {\n",
              "        vertical-align: middle;\n",
              "    }\n",
              "\n",
              "    .dataframe tbody tr th {\n",
              "        vertical-align: top;\n",
              "    }\n",
              "\n",
              "    .dataframe thead th {\n",
              "        text-align: right;\n",
              "    }\n",
              "</style>\n",
              "<table border=\"1\" class=\"dataframe\">\n",
              "  <thead>\n",
              "    <tr style=\"text-align: right;\">\n",
              "      <th></th>\n",
              "      <th>coordinates</th>\n",
              "      <th>created_at</th>\n",
              "      <th>hashtags</th>\n",
              "      <th>media</th>\n",
              "      <th>urls</th>\n",
              "      <th>favorite_count</th>\n",
              "      <th>id</th>\n",
              "      <th>in_reply_to_screen_name</th>\n",
              "      <th>in_reply_to_status_id</th>\n",
              "      <th>in_reply_to_user_id</th>\n",
              "      <th>...</th>\n",
              "      <th>user_friends_count</th>\n",
              "      <th>user_listed_count</th>\n",
              "      <th>user_location</th>\n",
              "      <th>user_name</th>\n",
              "      <th>user_screen_name</th>\n",
              "      <th>user_statuses_count</th>\n",
              "      <th>user_time_zone</th>\n",
              "      <th>user_urls</th>\n",
              "      <th>user_verified</th>\n",
              "      <th>date</th>\n",
              "    </tr>\n",
              "  </thead>\n",
              "  <tbody>\n",
              "    <tr>\n",
              "      <th>127668</th>\n",
              "      <td></td>\n",
              "      <td>Sat Jul 23 00:13:00 +0000 2022</td>\n",
              "      <td></td>\n",
              "      <td></td>\n",
              "      <td></td>\n",
              "      <td>0</td>\n",
              "      <td>1550635051980914689</td>\n",
              "      <td></td>\n",
              "      <td></td>\n",
              "      <td></td>\n",
              "      <td>...</td>\n",
              "      <td>5</td>\n",
              "      <td>0</td>\n",
              "      <td>new jersey</td>\n",
              "      <td>U.S.A news</td>\n",
              "      <td>MfkrAlqrn</td>\n",
              "      <td>2856</td>\n",
              "      <td></td>\n",
              "      <td></td>\n",
              "      <td>FALSE</td>\n",
              "      <td>2022-04-02</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>127690</th>\n",
              "      <td></td>\n",
              "      <td>Sat Jul 23 00:13:10 +0000 2022</td>\n",
              "      <td></td>\n",
              "      <td></td>\n",
              "      <td></td>\n",
              "      <td>1</td>\n",
              "      <td>1550635094867681280</td>\n",
              "      <td>MorningAnswer</td>\n",
              "      <td>1550631684193894402</td>\n",
              "      <td>58217912</td>\n",
              "      <td>...</td>\n",
              "      <td>430</td>\n",
              "      <td>0</td>\n",
              "      <td>illinois  usa</td>\n",
              "      <td>OldArmyNurse4 🗽</td>\n",
              "      <td>OldArmyNurse4</td>\n",
              "      <td>23609</td>\n",
              "      <td></td>\n",
              "      <td></td>\n",
              "      <td>FALSE</td>\n",
              "      <td>2022-04-26</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>127711</th>\n",
              "      <td></td>\n",
              "      <td>Sat Jul 23 00:16:24 +0000 2022</td>\n",
              "      <td></td>\n",
              "      <td></td>\n",
              "      <td>https://exbulletin.com/world/international/1760717/</td>\n",
              "      <td>0</td>\n",
              "      <td>1550635906607882240</td>\n",
              "      <td></td>\n",
              "      <td></td>\n",
              "      <td></td>\n",
              "      <td>...</td>\n",
              "      <td>1</td>\n",
              "      <td>1</td>\n",
              "      <td></td>\n",
              "      <td>ExBulletin</td>\n",
              "      <td>bulletin_ex</td>\n",
              "      <td>158566</td>\n",
              "      <td></td>\n",
              "      <td>https://exbulletin.com/</td>\n",
              "      <td>FALSE</td>\n",
              "      <td>2022-01-14</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>127744</th>\n",
              "      <td></td>\n",
              "      <td>Sat Jul 23 00:13:22 +0000 2022</td>\n",
              "      <td></td>\n",
              "      <td></td>\n",
              "      <td>https://www.aol.com/news/monkeypox-virus-could-become-entrenched-041041732-145107239.html?soc_src=social-sh&amp;soc_trk=tw&amp;tsrc=twtr</td>\n",
              "      <td>0</td>\n",
              "      <td>1550635144997912577</td>\n",
              "      <td></td>\n",
              "      <td></td>\n",
              "      <td></td>\n",
              "      <td>...</td>\n",
              "      <td>30</td>\n",
              "      <td>0</td>\n",
              "      <td></td>\n",
              "      <td>clare belote</td>\n",
              "      <td>BeloteClare</td>\n",
              "      <td>528</td>\n",
              "      <td></td>\n",
              "      <td></td>\n",
              "      <td>FALSE</td>\n",
              "      <td>2022-03-03</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>127745</th>\n",
              "      <td></td>\n",
              "      <td>Sat Jul 23 00:12:10 +0000 2022</td>\n",
              "      <td></td>\n",
              "      <td>https://twitter.com/Momof4Cats4/status/1550634841951113223/photo/1</td>\n",
              "      <td>https://globalnewsink.com/u-s-confirms-first-two-cases-of-monkeypox-in-children-one-case-is-in-california/</td>\n",
              "      <td>1</td>\n",
              "      <td>1550634841951113223</td>\n",
              "      <td></td>\n",
              "      <td></td>\n",
              "      <td></td>\n",
              "      <td>...</td>\n",
              "      <td>15724</td>\n",
              "      <td>4</td>\n",
              "      <td>queens  ny</td>\n",
              "      <td>Momof4Cats🐈🐱</td>\n",
              "      <td>Momof4Cats4</td>\n",
              "      <td>10900</td>\n",
              "      <td></td>\n",
              "      <td></td>\n",
              "      <td>FALSE</td>\n",
              "      <td>2022-04-14</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>127749</th>\n",
              "      <td></td>\n",
              "      <td>Sat Jul 23 00:06:11 +0000 2022</td>\n",
              "      <td></td>\n",
              "      <td></td>\n",
              "      <td>http://Globalnews.ca https://www.onzededepart.com/cbmimgh0dhbzoi8vz2xvymfsbmv3cy5jys9uzxdzlzkwmtaxotivbw9ua2v5cg94lxvzl9ibaaoc5/</td>\n",
              "      <td>0</td>\n",
              "      <td>1550633337013805056</td>\n",
              "      <td></td>\n",
              "      <td></td>\n",
              "      <td></td>\n",
              "      <td>...</td>\n",
              "      <td>1</td>\n",
              "      <td>1</td>\n",
              "      <td></td>\n",
              "      <td>a.belka70</td>\n",
              "      <td>ABelka70</td>\n",
              "      <td>23460</td>\n",
              "      <td></td>\n",
              "      <td></td>\n",
              "      <td>FALSE</td>\n",
              "      <td>2022-04-03</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>127775</th>\n",
              "      <td></td>\n",
              "      <td>Sat Jul 23 00:06:57 +0000 2022</td>\n",
              "      <td></td>\n",
              "      <td></td>\n",
              "      <td></td>\n",
              "      <td>1</td>\n",
              "      <td>1550633529914040320</td>\n",
              "      <td>benryanwriter</td>\n",
              "      <td>1549596357983363072</td>\n",
              "      <td>1666939494</td>\n",
              "      <td>...</td>\n",
              "      <td>1181</td>\n",
              "      <td>0</td>\n",
              "      <td>montréal  québec</td>\n",
              "      <td>whatnot</td>\n",
              "      <td>whatnotwantsnot</td>\n",
              "      <td>2322</td>\n",
              "      <td></td>\n",
              "      <td></td>\n",
              "      <td>FALSE</td>\n",
              "      <td>2022-05-04</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>127812</th>\n",
              "      <td></td>\n",
              "      <td>Sat Jul 23 00:11:36 +0000 2022</td>\n",
              "      <td></td>\n",
              "      <td></td>\n",
              "      <td>https://netionaldastak.com/monkeypox-us-confirms-first-two-cases-in-children/</td>\n",
              "      <td>0</td>\n",
              "      <td>1550634701626425345</td>\n",
              "      <td></td>\n",
              "      <td></td>\n",
              "      <td></td>\n",
              "      <td>...</td>\n",
              "      <td>1489</td>\n",
              "      <td>0</td>\n",
              "      <td></td>\n",
              "      <td>Netional Dastak</td>\n",
              "      <td>NetionalD</td>\n",
              "      <td>67625</td>\n",
              "      <td></td>\n",
              "      <td>https://www.netionaldastak.com</td>\n",
              "      <td>FALSE</td>\n",
              "      <td>2022-01-04</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>127815</th>\n",
              "      <td></td>\n",
              "      <td>Sat Jul 23 00:11:43 +0000 2022</td>\n",
              "      <td></td>\n",
              "      <td></td>\n",
              "      <td></td>\n",
              "      <td>1</td>\n",
              "      <td>1550634728256053248</td>\n",
              "      <td>suricidal</td>\n",
              "      <td>1550634528556851202</td>\n",
              "      <td>1433136669117517800</td>\n",
              "      <td>...</td>\n",
              "      <td>171</td>\n",
              "      <td>1</td>\n",
              "      <td></td>\n",
              "      <td>Professor niggaraneus</td>\n",
              "      <td>freejohnfr</td>\n",
              "      <td>2129</td>\n",
              "      <td></td>\n",
              "      <td></td>\n",
              "      <td>FALSE</td>\n",
              "      <td>2022-07-17</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>127819</th>\n",
              "      <td></td>\n",
              "      <td>Sat Jul 23 00:11:33 +0000 2022</td>\n",
              "      <td></td>\n",
              "      <td></td>\n",
              "      <td>https://www.sciencedirect.com/science/article/pii/S1995820X22000414</td>\n",
              "      <td>0</td>\n",
              "      <td>1550634686568955905</td>\n",
              "      <td></td>\n",
              "      <td></td>\n",
              "      <td></td>\n",
              "      <td>...</td>\n",
              "      <td>30</td>\n",
              "      <td>0</td>\n",
              "      <td>polk city  fl</td>\n",
              "      <td>XDeddudeX</td>\n",
              "      <td>DeddudeX</td>\n",
              "      <td>29</td>\n",
              "      <td></td>\n",
              "      <td></td>\n",
              "      <td>FALSE</td>\n",
              "      <td>2022-04-27</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>127842</th>\n",
              "      <td></td>\n",
              "      <td>Sat Jul 23 00:01:09 +0000 2022</td>\n",
              "      <td></td>\n",
              "      <td></td>\n",
              "      <td>https://share.smartnews.com/BRQEh</td>\n",
              "      <td>0</td>\n",
              "      <td>1550632070166216705</td>\n",
              "      <td></td>\n",
              "      <td></td>\n",
              "      <td></td>\n",
              "      <td>...</td>\n",
              "      <td>441</td>\n",
              "      <td>0</td>\n",
              "      <td></td>\n",
              "      <td>Taunya Curry</td>\n",
              "      <td>TaunyaCurry73</td>\n",
              "      <td>545</td>\n",
              "      <td></td>\n",
              "      <td></td>\n",
              "      <td>FALSE</td>\n",
              "      <td>2022-03-27</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>127854</th>\n",
              "      <td></td>\n",
              "      <td>Sat Jul 23 00:05:22 +0000 2022</td>\n",
              "      <td></td>\n",
              "      <td></td>\n",
              "      <td>https://alsadon.com/cbmis2h0dhbzoi8vd3d3lmnic25ld3muy29tl25ld3mvbw9ua2v5cg94lwnoawxkcmvulwzpcnn0lwnhc2vzlxutcy1jywxpzm9ybmlhl9ibt2h0dhbzoi8vd3d3lmnic25ld3muy29tl2ftcc9uzxdzl21vbmtlexbvec1jaglszhjlbi1maxjzdc1jyxnlcy11lxmt/</td>\n",
              "      <td>0</td>\n",
              "      <td>1550633133011357699</td>\n",
              "      <td></td>\n",
              "      <td></td>\n",
              "      <td></td>\n",
              "      <td>...</td>\n",
              "      <td>1</td>\n",
              "      <td>1</td>\n",
              "      <td></td>\n",
              "      <td>a.belka70</td>\n",
              "      <td>ABelka70</td>\n",
              "      <td>23460</td>\n",
              "      <td></td>\n",
              "      <td></td>\n",
              "      <td>FALSE</td>\n",
              "      <td>2022-04-03</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>127856</th>\n",
              "      <td></td>\n",
              "      <td>Sat Jul 23 00:01:39 +0000 2022</td>\n",
              "      <td></td>\n",
              "      <td></td>\n",
              "      <td>http://dlvr.it/SVM8CC</td>\n",
              "      <td>0</td>\n",
              "      <td>1550632195533836288</td>\n",
              "      <td></td>\n",
              "      <td></td>\n",
              "      <td></td>\n",
              "      <td>...</td>\n",
              "      <td>11</td>\n",
              "      <td>0</td>\n",
              "      <td></td>\n",
              "      <td>segirt news</td>\n",
              "      <td>SegirtNews</td>\n",
              "      <td>60370</td>\n",
              "      <td></td>\n",
              "      <td>http://www.segirt.com</td>\n",
              "      <td>FALSE</td>\n",
              "      <td>2022-04-17</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>127866</th>\n",
              "      <td></td>\n",
              "      <td>Sat Jul 23 00:01:32 +0000 2022</td>\n",
              "      <td></td>\n",
              "      <td></td>\n",
              "      <td>https://us.info-teknologi.web.id/2022/07/23/u-s-confirms-first-two-cases-of-monkeypox-in-children-one-case-is-in-california/</td>\n",
              "      <td>1</td>\n",
              "      <td>1550632166773690368</td>\n",
              "      <td></td>\n",
              "      <td></td>\n",
              "      <td></td>\n",
              "      <td>...</td>\n",
              "      <td>1</td>\n",
              "      <td>1</td>\n",
              "      <td></td>\n",
              "      <td>abukayyis</td>\n",
              "      <td>abukayyis42</td>\n",
              "      <td>25491</td>\n",
              "      <td></td>\n",
              "      <td></td>\n",
              "      <td>FALSE</td>\n",
              "      <td>2022-03-19</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>127867</th>\n",
              "      <td></td>\n",
              "      <td>Sat Jul 23 00:05:08 +0000 2022</td>\n",
              "      <td></td>\n",
              "      <td></td>\n",
              "      <td>https://share.smartnews.com/9s6zZ</td>\n",
              "      <td>0</td>\n",
              "      <td>1550633071904530432</td>\n",
              "      <td></td>\n",
              "      <td></td>\n",
              "      <td></td>\n",
              "      <td>...</td>\n",
              "      <td>441</td>\n",
              "      <td>0</td>\n",
              "      <td></td>\n",
              "      <td>Taunya Curry</td>\n",
              "      <td>TaunyaCurry73</td>\n",
              "      <td>545</td>\n",
              "      <td></td>\n",
              "      <td></td>\n",
              "      <td>FALSE</td>\n",
              "      <td>2022-03-27</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>127899</th>\n",
              "      <td></td>\n",
              "      <td>Sat Jul 23 00:05:13 +0000 2022</td>\n",
              "      <td></td>\n",
              "      <td></td>\n",
              "      <td></td>\n",
              "      <td>0</td>\n",
              "      <td>1550633092921958400</td>\n",
              "      <td>SebGorka</td>\n",
              "      <td>1550587464204652544</td>\n",
              "      <td>2417586104</td>\n",
              "      <td>...</td>\n",
              "      <td>106</td>\n",
              "      <td>0</td>\n",
              "      <td>las vegas  nv</td>\n",
              "      <td>Linda Vassilion</td>\n",
              "      <td>VassilionLinda</td>\n",
              "      <td>8990</td>\n",
              "      <td></td>\n",
              "      <td></td>\n",
              "      <td>FALSE</td>\n",
              "      <td>2022-04-07</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>127900</th>\n",
              "      <td></td>\n",
              "      <td>Sat Jul 23 00:02:22 +0000 2022</td>\n",
              "      <td></td>\n",
              "      <td></td>\n",
              "      <td></td>\n",
              "      <td>0</td>\n",
              "      <td>1550632375352164353</td>\n",
              "      <td>denise_dewald</td>\n",
              "      <td>1550455297206001664</td>\n",
              "      <td>760219193195302900</td>\n",
              "      <td>...</td>\n",
              "      <td>147</td>\n",
              "      <td>0</td>\n",
              "      <td>ottawa  ontario</td>\n",
              "      <td>Pete McAleese jr. Chimo All 🦫</td>\n",
              "      <td>pike_pole_pete</td>\n",
              "      <td>952</td>\n",
              "      <td></td>\n",
              "      <td></td>\n",
              "      <td>FALSE</td>\n",
              "      <td>2022-04-21</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>127906</th>\n",
              "      <td></td>\n",
              "      <td>Sat Jul 23 00:04:14 +0000 2022</td>\n",
              "      <td></td>\n",
              "      <td></td>\n",
              "      <td></td>\n",
              "      <td>0</td>\n",
              "      <td>1550632843927326720</td>\n",
              "      <td>michaelbd</td>\n",
              "      <td>1550560797285355527</td>\n",
              "      <td>9840002</td>\n",
              "      <td>...</td>\n",
              "      <td>661</td>\n",
              "      <td>0</td>\n",
              "      <td>md   meowtains of wv</td>\n",
              "      <td>HomeschooFoo 🇺🇸</td>\n",
              "      <td>FoolHomeschool</td>\n",
              "      <td>3042</td>\n",
              "      <td></td>\n",
              "      <td></td>\n",
              "      <td>FALSE</td>\n",
              "      <td>2022-04-08</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>127911</th>\n",
              "      <td></td>\n",
              "      <td>Sat Jul 23 00:01:47 +0000 2022</td>\n",
              "      <td>monkeypox</td>\n",
              "      <td></td>\n",
              "      <td>https://twitter.com/CeciliaGentili/status/1550479606607749121</td>\n",
              "      <td>5</td>\n",
              "      <td>1550632229868650496</td>\n",
              "      <td></td>\n",
              "      <td></td>\n",
              "      <td></td>\n",
              "      <td>...</td>\n",
              "      <td>469</td>\n",
              "      <td>57</td>\n",
              "      <td></td>\n",
              "      <td>Network for Long COVID Justice</td>\n",
              "      <td>LongCOVIDNatl</td>\n",
              "      <td>667</td>\n",
              "      <td></td>\n",
              "      <td>https://springboardhealthlab.org/long-covid-justice/</td>\n",
              "      <td>FALSE</td>\n",
              "      <td>2022-02-08</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>127921</th>\n",
              "      <td></td>\n",
              "      <td>Sat Jul 23 00:01:54 +0000 2022</td>\n",
              "      <td></td>\n",
              "      <td></td>\n",
              "      <td>https://linkspublic.com/index.php/2022/07/23/us-confirms-first-two-cases-of-monkeypox-in-children-one-case-is-in-california/</td>\n",
              "      <td>0</td>\n",
              "      <td>1550632256741449728</td>\n",
              "      <td></td>\n",
              "      <td></td>\n",
              "      <td></td>\n",
              "      <td>...</td>\n",
              "      <td>24</td>\n",
              "      <td>2</td>\n",
              "      <td></td>\n",
              "      <td>salim chaouche</td>\n",
              "      <td>salimchaouche20</td>\n",
              "      <td>43882</td>\n",
              "      <td></td>\n",
              "      <td></td>\n",
              "      <td>FALSE</td>\n",
              "      <td>2022-02-17</td>\n",
              "    </tr>\n",
              "  </tbody>\n",
              "</table>\n",
              "<p>20 rows × 36 columns</p>\n",
              "</div>\n",
              "      <button class=\"colab-df-convert\" onclick=\"convertToInteractive('df-eb45df16-b663-43a0-9088-367ef962fab7')\"\n",
              "              title=\"Convert this dataframe to an interactive table.\"\n",
              "              style=\"display:none;\">\n",
              "        \n",
              "  <svg xmlns=\"http://www.w3.org/2000/svg\" height=\"24px\"viewBox=\"0 0 24 24\"\n",
              "       width=\"24px\">\n",
              "    <path d=\"M0 0h24v24H0V0z\" fill=\"none\"/>\n",
              "    <path d=\"M18.56 5.44l.94 2.06.94-2.06 2.06-.94-2.06-.94-.94-2.06-.94 2.06-2.06.94zm-11 1L8.5 8.5l.94-2.06 2.06-.94-2.06-.94L8.5 2.5l-.94 2.06-2.06.94zm10 10l.94 2.06.94-2.06 2.06-.94-2.06-.94-.94-2.06-.94 2.06-2.06.94z\"/><path d=\"M17.41 7.96l-1.37-1.37c-.4-.4-.92-.59-1.43-.59-.52 0-1.04.2-1.43.59L10.3 9.45l-7.72 7.72c-.78.78-.78 2.05 0 2.83L4 21.41c.39.39.9.59 1.41.59.51 0 1.02-.2 1.41-.59l7.78-7.78 2.81-2.81c.8-.78.8-2.07 0-2.86zM5.41 20L4 18.59l7.72-7.72 1.47 1.35L5.41 20z\"/>\n",
              "  </svg>\n",
              "      </button>\n",
              "      \n",
              "  <style>\n",
              "    .colab-df-container {\n",
              "      display:flex;\n",
              "      flex-wrap:wrap;\n",
              "      gap: 12px;\n",
              "    }\n",
              "\n",
              "    .colab-df-convert {\n",
              "      background-color: #E8F0FE;\n",
              "      border: none;\n",
              "      border-radius: 50%;\n",
              "      cursor: pointer;\n",
              "      display: none;\n",
              "      fill: #1967D2;\n",
              "      height: 32px;\n",
              "      padding: 0 0 0 0;\n",
              "      width: 32px;\n",
              "    }\n",
              "\n",
              "    .colab-df-convert:hover {\n",
              "      background-color: #E2EBFA;\n",
              "      box-shadow: 0px 1px 2px rgba(60, 64, 67, 0.3), 0px 1px 3px 1px rgba(60, 64, 67, 0.15);\n",
              "      fill: #174EA6;\n",
              "    }\n",
              "\n",
              "    [theme=dark] .colab-df-convert {\n",
              "      background-color: #3B4455;\n",
              "      fill: #D2E3FC;\n",
              "    }\n",
              "\n",
              "    [theme=dark] .colab-df-convert:hover {\n",
              "      background-color: #434B5C;\n",
              "      box-shadow: 0px 1px 3px 1px rgba(0, 0, 0, 0.15);\n",
              "      filter: drop-shadow(0px 1px 2px rgba(0, 0, 0, 0.3));\n",
              "      fill: #FFFFFF;\n",
              "    }\n",
              "  </style>\n",
              "\n",
              "      <script>\n",
              "        const buttonEl =\n",
              "          document.querySelector('#df-eb45df16-b663-43a0-9088-367ef962fab7 button.colab-df-convert');\n",
              "        buttonEl.style.display =\n",
              "          google.colab.kernel.accessAllowed ? 'block' : 'none';\n",
              "\n",
              "        async function convertToInteractive(key) {\n",
              "          const element = document.querySelector('#df-eb45df16-b663-43a0-9088-367ef962fab7');\n",
              "          const dataTable =\n",
              "            await google.colab.kernel.invokeFunction('convertToInteractive',\n",
              "                                                     [key], {});\n",
              "          if (!dataTable) return;\n",
              "\n",
              "          const docLinkHtml = 'Like what you see? Visit the ' +\n",
              "            '<a target=\"_blank\" href=https://colab.research.google.com/notebooks/data_table.ipynb>data table notebook</a>'\n",
              "            + ' to learn more about interactive tables.';\n",
              "          element.innerHTML = '';\n",
              "          dataTable['output_type'] = 'display_data';\n",
              "          await google.colab.output.renderOutput(dataTable, element);\n",
              "          const docLink = document.createElement('div');\n",
              "          docLink.innerHTML = docLinkHtml;\n",
              "          element.appendChild(docLink);\n",
              "        }\n",
              "      </script>\n",
              "    </div>\n",
              "  </div>\n",
              "  "
            ]
          },
          "metadata": {},
          "execution_count": 43
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "# remove emojis from location column\n",
        "df = df.astype(str).apply(lambda x: x.str.encode('ascii', 'ignore').str.decode('ascii'))\n",
        "df['user_location'].head(5)"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "l4RS9af8d7pf",
        "outputId": "d6bf99d4-ad40-4220-fab0-8375f14e82d6"
      },
      "execution_count": 44,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "2              chicago  il\n",
              "6                         \n",
              "7    charlie lastra s arms\n",
              "8    charlie lastra s arms\n",
              "9                         \n",
              "Name: user_location, dtype: object"
            ]
          },
          "metadata": {},
          "execution_count": 44
        }
      ]
    },
    {
      "cell_type": "markdown",
      "source": [
        "### 3.3  Corpus: English `tweets` (n = 28,281)"
      ],
      "metadata": {
        "id": "o_7wLEdlb_rw"
      }
    },
    {
      "cell_type": "code",
      "source": [
        "df = df[['date',\n",
        "         'user_screen_name',\n",
        "         'text',\n",
        "         'tweet_url',\n",
        "         'user_location',\n",
        "         'hashtags']]\n",
        "df.head(2)"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 506
        },
        "id": "fZFctLwAQEWN",
        "outputId": "11f0ac61-4c18-4019-fab1-87703b37e49a"
      },
      "execution_count": 45,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "0        date user_screen_name  \\\n",
              "2  2022-04-01      LeftistHank   \n",
              "6  2022-04-01        YUCCAYAWN   \n",
              "\n",
              "0                                                                                text  \\\n",
              "2                                       oh monkey POX? I thought you said monkey POGS   \n",
              "6  lemme be clear ... if you like your monkey pox im afraid of where my life is going   \n",
              "\n",
              "0                                                   tweet_url user_location  \\\n",
              "2  https://twitter.com/LeftistHank/status/1527751952448344065   chicago  il   \n",
              "6    https://twitter.com/YUCCAYAWN/status/1527396267633963019                 \n",
              "\n",
              "0 hashtags  \n",
              "2           \n",
              "6           "
            ],
            "text/html": [
              "\n",
              "  <div id=\"df-3ff3fdcf-420f-412a-91ec-9845a1a4856d\">\n",
              "    <div class=\"colab-df-container\">\n",
              "      <div>\n",
              "<style scoped>\n",
              "    .dataframe tbody tr th:only-of-type {\n",
              "        vertical-align: middle;\n",
              "    }\n",
              "\n",
              "    .dataframe tbody tr th {\n",
              "        vertical-align: top;\n",
              "    }\n",
              "\n",
              "    .dataframe thead th {\n",
              "        text-align: right;\n",
              "    }\n",
              "</style>\n",
              "<table border=\"1\" class=\"dataframe\">\n",
              "  <thead>\n",
              "    <tr style=\"text-align: right;\">\n",
              "      <th></th>\n",
              "      <th>date</th>\n",
              "      <th>user_screen_name</th>\n",
              "      <th>text</th>\n",
              "      <th>tweet_url</th>\n",
              "      <th>user_location</th>\n",
              "      <th>hashtags</th>\n",
              "    </tr>\n",
              "  </thead>\n",
              "  <tbody>\n",
              "    <tr>\n",
              "      <th>2</th>\n",
              "      <td>2022-04-01</td>\n",
              "      <td>LeftistHank</td>\n",
              "      <td>oh monkey POX? I thought you said monkey POGS</td>\n",
              "      <td>https://twitter.com/LeftistHank/status/1527751952448344065</td>\n",
              "      <td>chicago  il</td>\n",
              "      <td></td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>6</th>\n",
              "      <td>2022-04-01</td>\n",
              "      <td>YUCCAYAWN</td>\n",
              "      <td>lemme be clear ... if you like your monkey pox im afraid of where my life is going</td>\n",
              "      <td>https://twitter.com/YUCCAYAWN/status/1527396267633963019</td>\n",
              "      <td></td>\n",
              "      <td></td>\n",
              "    </tr>\n",
              "  </tbody>\n",
              "</table>\n",
              "</div>\n",
              "      <button class=\"colab-df-convert\" onclick=\"convertToInteractive('df-3ff3fdcf-420f-412a-91ec-9845a1a4856d')\"\n",
              "              title=\"Convert this dataframe to an interactive table.\"\n",
              "              style=\"display:none;\">\n",
              "        \n",
              "  <svg xmlns=\"http://www.w3.org/2000/svg\" height=\"24px\"viewBox=\"0 0 24 24\"\n",
              "       width=\"24px\">\n",
              "    <path d=\"M0 0h24v24H0V0z\" fill=\"none\"/>\n",
              "    <path d=\"M18.56 5.44l.94 2.06.94-2.06 2.06-.94-2.06-.94-.94-2.06-.94 2.06-2.06.94zm-11 1L8.5 8.5l.94-2.06 2.06-.94-2.06-.94L8.5 2.5l-.94 2.06-2.06.94zm10 10l.94 2.06.94-2.06 2.06-.94-2.06-.94-.94-2.06-.94 2.06-2.06.94z\"/><path d=\"M17.41 7.96l-1.37-1.37c-.4-.4-.92-.59-1.43-.59-.52 0-1.04.2-1.43.59L10.3 9.45l-7.72 7.72c-.78.78-.78 2.05 0 2.83L4 21.41c.39.39.9.59 1.41.59.51 0 1.02-.2 1.41-.59l7.78-7.78 2.81-2.81c.8-.78.8-2.07 0-2.86zM5.41 20L4 18.59l7.72-7.72 1.47 1.35L5.41 20z\"/>\n",
              "  </svg>\n",
              "      </button>\n",
              "      \n",
              "  <style>\n",
              "    .colab-df-container {\n",
              "      display:flex;\n",
              "      flex-wrap:wrap;\n",
              "      gap: 12px;\n",
              "    }\n",
              "\n",
              "    .colab-df-convert {\n",
              "      background-color: #E8F0FE;\n",
              "      border: none;\n",
              "      border-radius: 50%;\n",
              "      cursor: pointer;\n",
              "      display: none;\n",
              "      fill: #1967D2;\n",
              "      height: 32px;\n",
              "      padding: 0 0 0 0;\n",
              "      width: 32px;\n",
              "    }\n",
              "\n",
              "    .colab-df-convert:hover {\n",
              "      background-color: #E2EBFA;\n",
              "      box-shadow: 0px 1px 2px rgba(60, 64, 67, 0.3), 0px 1px 3px 1px rgba(60, 64, 67, 0.15);\n",
              "      fill: #174EA6;\n",
              "    }\n",
              "\n",
              "    [theme=dark] .colab-df-convert {\n",
              "      background-color: #3B4455;\n",
              "      fill: #D2E3FC;\n",
              "    }\n",
              "\n",
              "    [theme=dark] .colab-df-convert:hover {\n",
              "      background-color: #434B5C;\n",
              "      box-shadow: 0px 1px 3px 1px rgba(0, 0, 0, 0.15);\n",
              "      filter: drop-shadow(0px 1px 2px rgba(0, 0, 0, 0.3));\n",
              "      fill: #FFFFFF;\n",
              "    }\n",
              "  </style>\n",
              "\n",
              "      <script>\n",
              "        const buttonEl =\n",
              "          document.querySelector('#df-3ff3fdcf-420f-412a-91ec-9845a1a4856d button.colab-df-convert');\n",
              "        buttonEl.style.display =\n",
              "          google.colab.kernel.accessAllowed ? 'block' : 'none';\n",
              "\n",
              "        async function convertToInteractive(key) {\n",
              "          const element = document.querySelector('#df-3ff3fdcf-420f-412a-91ec-9845a1a4856d');\n",
              "          const dataTable =\n",
              "            await google.colab.kernel.invokeFunction('convertToInteractive',\n",
              "                                                     [key], {});\n",
              "          if (!dataTable) return;\n",
              "\n",
              "          const docLinkHtml = 'Like what you see? Visit the ' +\n",
              "            '<a target=\"_blank\" href=https://colab.research.google.com/notebooks/data_table.ipynb>data table notebook</a>'\n",
              "            + ' to learn more about interactive tables.';\n",
              "          element.innerHTML = '';\n",
              "          dataTable['output_type'] = 'display_data';\n",
              "          await google.colab.output.renderOutput(dataTable, element);\n",
              "          const docLink = document.createElement('div');\n",
              "          docLink.innerHTML = docLinkHtml;\n",
              "          element.appendChild(docLink);\n",
              "        }\n",
              "      </script>\n",
              "    </div>\n",
              "  </div>\n",
              "  "
            ]
          },
          "metadata": {},
          "execution_count": 45
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "df.reset_index(drop=True)"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 1000
        },
        "id": "yFnsvzzQQEWO",
        "outputId": "7a1c1a13-0081-4f02-f959-9f6ea60aa327"
      },
      "execution_count": 46,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "0            date user_screen_name  \\\n",
              "0      2022-04-01      LeftistHank   \n",
              "1      2022-04-01        YUCCAYAWN   \n",
              "2      2022-04-01  pufpuffprincess   \n",
              "3      2022-04-01  pufpuffprincess   \n",
              "4      2022-04-01     Xenon1337xV2   \n",
              "...           ...              ...   \n",
              "28493  2022-04-07   VassilionLinda   \n",
              "28494  2022-04-21   pike_pole_pete   \n",
              "28495  2022-04-08   FoolHomeschool   \n",
              "28496  2022-02-08    LongCOVIDNatl   \n",
              "28497  2022-02-17  salimchaouche20   \n",
              "\n",
              "0                                                                                                                                                                                                                                                                                                                                         text  \\\n",
              "0                                                                                                                                                                                                                                                                                                oh monkey POX? I thought you said monkey POGS   \n",
              "1                                                                                                                                                                                                                                                           lemme be clear ... if you like your monkey pox im afraid of where my life is going   \n",
              "2                                                                                                                                                                                                                                                    @KIINGEFFIE_ @JayceBliss @Carol1mcs @TMZ Yes, Monkey pox can affect people of every race.   \n",
              "3      @Craig4lyfe23 @NateSanti @Youngkid_Vibes @TMZ Monkey pox does not come from monkeys. \\nThe people who have been affected in the recent outbreak aren't Africans and the recorded outbreaks didn't take place in Africa.\\nRacism comes in all forms and calling it out no matter how small it seems doesn't minimalize racism as a whole   \n",
              "4                                                                                                                                                                      Not happening. \\n\\nThe vast majority will believe the small pox/monkey pox MSN bullshit just as they have fell for the covid and Ukraine bollox https://t.co/caYUrKVpW3   \n",
              "...                                                                                                                                                                                                                                                                                                                                        ...   \n",
              "28493                                                                                                                                                                                                                                                                                                    @SebGorka I'd rather get monkey pox.    \n",
              "28494                                                                                                                                                                                                                                                             @denise_dewald Is someone dx with MRSA more susceptible to monkeypox? Thanks   \n",
              "28495                                                                                                                                                                                   @michaelbd HOW did he only end up with Monkey Pox? Holy crap thats a lot of damn sex. And pee. My goodness. Maybe get checked for strep, too? I dunno?   \n",
              "28496                                                                                                                                                    Thanks to our Long COVID Justice Advisory Team member @CeciliaGentili, @actupny and all those involved in this powerful, urgent call for action on #monkeypox https://t.co/hnV3k9gnun   \n",
              "28497                                                                                                                                                                                                                                   US confirms first two cases of monkeypox in children  one case is inCalifornia https://t.co/kZcwLov9op   \n",
              "\n",
              "0                                                           tweet_url  \\\n",
              "0          https://twitter.com/LeftistHank/status/1527751952448344065   \n",
              "1            https://twitter.com/YUCCAYAWN/status/1527396267633963019   \n",
              "2      https://twitter.com/pufpuffprincess/status/1527398696907857921   \n",
              "3      https://twitter.com/pufpuffprincess/status/1527395142377869317   \n",
              "4         https://twitter.com/Xenon1337xV2/status/1528099437473677312   \n",
              "...                                                               ...   \n",
              "28493   https://twitter.com/VassilionLinda/status/1550633092921958400   \n",
              "28494   https://twitter.com/pike_pole_pete/status/1550632375352164353   \n",
              "28495   https://twitter.com/FoolHomeschool/status/1550632843927326720   \n",
              "28496    https://twitter.com/LongCOVIDNatl/status/1550632229868650496   \n",
              "28497  https://twitter.com/salimchaouche20/status/1550632256741449728   \n",
              "\n",
              "0              user_location   hashtags  \n",
              "0                chicago  il             \n",
              "1                                        \n",
              "2      charlie lastra s arms             \n",
              "3      charlie lastra s arms             \n",
              "4                                        \n",
              "...                      ...        ...  \n",
              "28493          las vegas  nv             \n",
              "28494        ottawa  ontario             \n",
              "28495   md   meowtains of wv             \n",
              "28496                         monkeypox  \n",
              "28497                                    \n",
              "\n",
              "[28498 rows x 6 columns]"
            ],
            "text/html": [
              "\n",
              "  <div id=\"df-0808697f-b89a-459d-8465-804a460a8a8e\">\n",
              "    <div class=\"colab-df-container\">\n",
              "      <div>\n",
              "<style scoped>\n",
              "    .dataframe tbody tr th:only-of-type {\n",
              "        vertical-align: middle;\n",
              "    }\n",
              "\n",
              "    .dataframe tbody tr th {\n",
              "        vertical-align: top;\n",
              "    }\n",
              "\n",
              "    .dataframe thead th {\n",
              "        text-align: right;\n",
              "    }\n",
              "</style>\n",
              "<table border=\"1\" class=\"dataframe\">\n",
              "  <thead>\n",
              "    <tr style=\"text-align: right;\">\n",
              "      <th></th>\n",
              "      <th>date</th>\n",
              "      <th>user_screen_name</th>\n",
              "      <th>text</th>\n",
              "      <th>tweet_url</th>\n",
              "      <th>user_location</th>\n",
              "      <th>hashtags</th>\n",
              "    </tr>\n",
              "  </thead>\n",
              "  <tbody>\n",
              "    <tr>\n",
              "      <th>0</th>\n",
              "      <td>2022-04-01</td>\n",
              "      <td>LeftistHank</td>\n",
              "      <td>oh monkey POX? I thought you said monkey POGS</td>\n",
              "      <td>https://twitter.com/LeftistHank/status/1527751952448344065</td>\n",
              "      <td>chicago  il</td>\n",
              "      <td></td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>1</th>\n",
              "      <td>2022-04-01</td>\n",
              "      <td>YUCCAYAWN</td>\n",
              "      <td>lemme be clear ... if you like your monkey pox im afraid of where my life is going</td>\n",
              "      <td>https://twitter.com/YUCCAYAWN/status/1527396267633963019</td>\n",
              "      <td></td>\n",
              "      <td></td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>2</th>\n",
              "      <td>2022-04-01</td>\n",
              "      <td>pufpuffprincess</td>\n",
              "      <td>@KIINGEFFIE_ @JayceBliss @Carol1mcs @TMZ Yes, Monkey pox can affect people of every race.</td>\n",
              "      <td>https://twitter.com/pufpuffprincess/status/1527398696907857921</td>\n",
              "      <td>charlie lastra s arms</td>\n",
              "      <td></td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>3</th>\n",
              "      <td>2022-04-01</td>\n",
              "      <td>pufpuffprincess</td>\n",
              "      <td>@Craig4lyfe23 @NateSanti @Youngkid_Vibes @TMZ Monkey pox does not come from monkeys. \\nThe people who have been affected in the recent outbreak aren't Africans and the recorded outbreaks didn't take place in Africa.\\nRacism comes in all forms and calling it out no matter how small it seems doesn't minimalize racism as a whole</td>\n",
              "      <td>https://twitter.com/pufpuffprincess/status/1527395142377869317</td>\n",
              "      <td>charlie lastra s arms</td>\n",
              "      <td></td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>4</th>\n",
              "      <td>2022-04-01</td>\n",
              "      <td>Xenon1337xV2</td>\n",
              "      <td>Not happening. \\n\\nThe vast majority will believe the small pox/monkey pox MSN bullshit just as they have fell for the covid and Ukraine bollox https://t.co/caYUrKVpW3</td>\n",
              "      <td>https://twitter.com/Xenon1337xV2/status/1528099437473677312</td>\n",
              "      <td></td>\n",
              "      <td></td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>...</th>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>28493</th>\n",
              "      <td>2022-04-07</td>\n",
              "      <td>VassilionLinda</td>\n",
              "      <td>@SebGorka I'd rather get monkey pox.</td>\n",
              "      <td>https://twitter.com/VassilionLinda/status/1550633092921958400</td>\n",
              "      <td>las vegas  nv</td>\n",
              "      <td></td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>28494</th>\n",
              "      <td>2022-04-21</td>\n",
              "      <td>pike_pole_pete</td>\n",
              "      <td>@denise_dewald Is someone dx with MRSA more susceptible to monkeypox? Thanks</td>\n",
              "      <td>https://twitter.com/pike_pole_pete/status/1550632375352164353</td>\n",
              "      <td>ottawa  ontario</td>\n",
              "      <td></td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>28495</th>\n",
              "      <td>2022-04-08</td>\n",
              "      <td>FoolHomeschool</td>\n",
              "      <td>@michaelbd HOW did he only end up with Monkey Pox? Holy crap thats a lot of damn sex. And pee. My goodness. Maybe get checked for strep, too? I dunno?</td>\n",
              "      <td>https://twitter.com/FoolHomeschool/status/1550632843927326720</td>\n",
              "      <td>md   meowtains of wv</td>\n",
              "      <td></td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>28496</th>\n",
              "      <td>2022-02-08</td>\n",
              "      <td>LongCOVIDNatl</td>\n",
              "      <td>Thanks to our Long COVID Justice Advisory Team member @CeciliaGentili, @actupny and all those involved in this powerful, urgent call for action on #monkeypox https://t.co/hnV3k9gnun</td>\n",
              "      <td>https://twitter.com/LongCOVIDNatl/status/1550632229868650496</td>\n",
              "      <td></td>\n",
              "      <td>monkeypox</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>28497</th>\n",
              "      <td>2022-02-17</td>\n",
              "      <td>salimchaouche20</td>\n",
              "      <td>US confirms first two cases of monkeypox in children  one case is inCalifornia https://t.co/kZcwLov9op</td>\n",
              "      <td>https://twitter.com/salimchaouche20/status/1550632256741449728</td>\n",
              "      <td></td>\n",
              "      <td></td>\n",
              "    </tr>\n",
              "  </tbody>\n",
              "</table>\n",
              "<p>28498 rows × 6 columns</p>\n",
              "</div>\n",
              "      <button class=\"colab-df-convert\" onclick=\"convertToInteractive('df-0808697f-b89a-459d-8465-804a460a8a8e')\"\n",
              "              title=\"Convert this dataframe to an interactive table.\"\n",
              "              style=\"display:none;\">\n",
              "        \n",
              "  <svg xmlns=\"http://www.w3.org/2000/svg\" height=\"24px\"viewBox=\"0 0 24 24\"\n",
              "       width=\"24px\">\n",
              "    <path d=\"M0 0h24v24H0V0z\" fill=\"none\"/>\n",
              "    <path d=\"M18.56 5.44l.94 2.06.94-2.06 2.06-.94-2.06-.94-.94-2.06-.94 2.06-2.06.94zm-11 1L8.5 8.5l.94-2.06 2.06-.94-2.06-.94L8.5 2.5l-.94 2.06-2.06.94zm10 10l.94 2.06.94-2.06 2.06-.94-2.06-.94-.94-2.06-.94 2.06-2.06.94z\"/><path d=\"M17.41 7.96l-1.37-1.37c-.4-.4-.92-.59-1.43-.59-.52 0-1.04.2-1.43.59L10.3 9.45l-7.72 7.72c-.78.78-.78 2.05 0 2.83L4 21.41c.39.39.9.59 1.41.59.51 0 1.02-.2 1.41-.59l7.78-7.78 2.81-2.81c.8-.78.8-2.07 0-2.86zM5.41 20L4 18.59l7.72-7.72 1.47 1.35L5.41 20z\"/>\n",
              "  </svg>\n",
              "      </button>\n",
              "      \n",
              "  <style>\n",
              "    .colab-df-container {\n",
              "      display:flex;\n",
              "      flex-wrap:wrap;\n",
              "      gap: 12px;\n",
              "    }\n",
              "\n",
              "    .colab-df-convert {\n",
              "      background-color: #E8F0FE;\n",
              "      border: none;\n",
              "      border-radius: 50%;\n",
              "      cursor: pointer;\n",
              "      display: none;\n",
              "      fill: #1967D2;\n",
              "      height: 32px;\n",
              "      padding: 0 0 0 0;\n",
              "      width: 32px;\n",
              "    }\n",
              "\n",
              "    .colab-df-convert:hover {\n",
              "      background-color: #E2EBFA;\n",
              "      box-shadow: 0px 1px 2px rgba(60, 64, 67, 0.3), 0px 1px 3px 1px rgba(60, 64, 67, 0.15);\n",
              "      fill: #174EA6;\n",
              "    }\n",
              "\n",
              "    [theme=dark] .colab-df-convert {\n",
              "      background-color: #3B4455;\n",
              "      fill: #D2E3FC;\n",
              "    }\n",
              "\n",
              "    [theme=dark] .colab-df-convert:hover {\n",
              "      background-color: #434B5C;\n",
              "      box-shadow: 0px 1px 3px 1px rgba(0, 0, 0, 0.15);\n",
              "      filter: drop-shadow(0px 1px 2px rgba(0, 0, 0, 0.3));\n",
              "      fill: #FFFFFF;\n",
              "    }\n",
              "  </style>\n",
              "\n",
              "      <script>\n",
              "        const buttonEl =\n",
              "          document.querySelector('#df-0808697f-b89a-459d-8465-804a460a8a8e button.colab-df-convert');\n",
              "        buttonEl.style.display =\n",
              "          google.colab.kernel.accessAllowed ? 'block' : 'none';\n",
              "\n",
              "        async function convertToInteractive(key) {\n",
              "          const element = document.querySelector('#df-0808697f-b89a-459d-8465-804a460a8a8e');\n",
              "          const dataTable =\n",
              "            await google.colab.kernel.invokeFunction('convertToInteractive',\n",
              "                                                     [key], {});\n",
              "          if (!dataTable) return;\n",
              "\n",
              "          const docLinkHtml = 'Like what you see? Visit the ' +\n",
              "            '<a target=\"_blank\" href=https://colab.research.google.com/notebooks/data_table.ipynb>data table notebook</a>'\n",
              "            + ' to learn more about interactive tables.';\n",
              "          element.innerHTML = '';\n",
              "          dataTable['output_type'] = 'display_data';\n",
              "          await google.colab.output.renderOutput(dataTable, element);\n",
              "          const docLink = document.createElement('div');\n",
              "          docLink.innerHTML = docLinkHtml;\n",
              "          element.appendChild(docLink);\n",
              "        }\n",
              "      </script>\n",
              "    </div>\n",
              "  </div>\n",
              "  "
            ]
          },
          "metadata": {},
          "execution_count": 46
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "df.info()"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "l6foHrL0aFSc",
        "outputId": "2132346a-d14e-4f50-b70b-4a890c8dff54"
      },
      "execution_count": 47,
      "outputs": [
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "<class 'pandas.core.frame.DataFrame'>\n",
            "Int64Index: 28498 entries, 2 to 127921\n",
            "Data columns (total 6 columns):\n",
            " #   Column            Non-Null Count  Dtype \n",
            "---  ------            --------------  ----- \n",
            " 0   date              28498 non-null  object\n",
            " 1   user_screen_name  28498 non-null  object\n",
            " 2   text              28498 non-null  object\n",
            " 3   tweet_url         28498 non-null  object\n",
            " 4   user_location     28498 non-null  object\n",
            " 5   hashtags          28498 non-null  object\n",
            "dtypes: object(6)\n",
            "memory usage: 1.5+ MB\n"
          ]
        }
      ]
    },
    {
      "cell_type": "code",
      "execution_count": 48,
      "metadata": {
        "id": "Okq1YwhUP5J5"
      },
      "outputs": [],
      "source": [
        "# Save corpus\n",
        "df.to_pickle('/content/drive/MyDrive/tweets.pkl')\n",
        "df.to_csv(r'/content/drive/MyDrive/tweets.csv', index=False)\n",
        "df.to_csv(r'/content/tweets.csv', index=False)"
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "df.tail(40)"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 1000
        },
        "id": "4KV4m2INFENg",
        "outputId": "72eb99b7-bd42-4fca-a3c3-51c084d580f0"
      },
      "execution_count": 49,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "0             date user_screen_name  \\\n",
              "127492  2022-03-19      abukayyis42   \n",
              "127500  2022-01-27    ALEXANDERKORE   \n",
              "127508  2022-01-15    RolleGilfordR   \n",
              "127510  2022-06-19      JosephStal2   \n",
              "127511  2022-06-27        UniAntoni   \n",
              "127520  2022-07-06    IncognitaBonk   \n",
              "127522  2022-02-23     VisitoryNews   \n",
              "127526  2022-01-03     SimpleMedia_   \n",
              "127540  2022-05-19       Monkeypoxx   \n",
              "127558  2022-04-02        MfkrAlqrn   \n",
              "127569  2022-06-23  chi_libertarian   \n",
              "127576  2022-05-17     Npressnewstv   \n",
              "127577  2022-03-02        jeepeg274   \n",
              "127589  2022-05-17       MedDataDoc   \n",
              "127598  2022-04-22       JoeDuong71   \n",
              "127609  2022-07-07   America1stCats   \n",
              "127624  2022-02-26       gibson8159   \n",
              "127626  2022-02-26        HughGnomy   \n",
              "127637  2022-07-09       DrFlarmers   \n",
              "127659  2022-04-27         DeddudeX   \n",
              "127668  2022-04-02        MfkrAlqrn   \n",
              "127690  2022-04-26    OldArmyNurse4   \n",
              "127711  2022-01-14      bulletin_ex   \n",
              "127744  2022-03-03      BeloteClare   \n",
              "127745  2022-04-14      Momof4Cats4   \n",
              "127749  2022-04-03         ABelka70   \n",
              "127775  2022-05-04  whatnotwantsnot   \n",
              "127812  2022-01-04        NetionalD   \n",
              "127815  2022-07-17       freejohnfr   \n",
              "127819  2022-04-27         DeddudeX   \n",
              "127842  2022-03-27    TaunyaCurry73   \n",
              "127854  2022-04-03         ABelka70   \n",
              "127856  2022-04-17       SegirtNews   \n",
              "127866  2022-03-19      abukayyis42   \n",
              "127867  2022-03-27    TaunyaCurry73   \n",
              "127899  2022-04-07   VassilionLinda   \n",
              "127900  2022-04-21   pike_pole_pete   \n",
              "127906  2022-04-08   FoolHomeschool   \n",
              "127911  2022-02-08    LongCOVIDNatl   \n",
              "127921  2022-02-17  salimchaouche20   \n",
              "\n",
              "0                                                                                                                                                                                                                                                                                                                                                    text  \\\n",
              "127492                                                                                                                                                                                                                                        Florida Department of Health reports one confirmed case of monkeypox in DuvalCounty https://t.co/sCRuwOTzTX   \n",
              "127500                                                                                                                                                                                                                                                                        @BenjaminEnfield Good for him monkeypox is around so he's just keeping safe   \n",
              "127508                                                                                                                                                                                                                                                   Two children diagnosed with monkeypox in U.S., officials say #SmartNews  https://t.co/popA5LzCCc   \n",
              "127510                                                                                                                                                                                                                                                                    @DanielTurnerPTF Cost of getting monkeypox from Pete Buttigiegs dick: Priceless   \n",
              "127511                                                                                                                                                                                                             Thai police searching for monkeypox-infected Nigerian man - Phuket News - ASEAN NOW - News, Travel &amp; Forum https://t.co/LQVSEil22j   \n",
              "127520                                                                                                                                                                                                                                                                                    Houston: We have a (Monkeypox) problem: https://t.co/Jg1Ddzrsjr   \n",
              "127522                                                                                                                                                                                                                               Two children have been diagnosed with monkeypox in the US. Via @AP https://t.co/fziR7lZPmC' - Tweeted by: @business    \n",
              "127526                                                                                                                                                                                                                                                                                 2 children diagnosed with monkeypox inU.S. https://t.co/6ShqxO6m1K   \n",
              "127540                                                                                                                                                                                                                                                                                                                                   TPOX\\n#monkeypox   \n",
              "127558                                                                                                                                                                                                                                                     ABC News: Top StoriesUS confirms first cases of monkeypox in children\\nhttps://t.co/3jvmmhSyo6   \n",
              "127569                                                         During covid: the general public can be forced to isolate, kids can be kept home from school and have their development/learning permanently stuntedand were told if we dont comply were uncaring psychos.\\nDuring monkeypox: yOu CanT tELL uS nOt To haVE OrGiEs  https://t.co/RCLvjugnoB   \n",
              "127576                                                                                                                                                                                                                            NHS steps up monkeypox vaccinations in London with 100,000 more doses - https://t.co/GLSPU1J61p https://t.co/eHeebnoUx6   \n",
              "127577                                                                                                                                                                                                               (Yukon confirms territorys 1st case of monkeypox  https://t.co/cezC2udsD1) has been published on The Globe - https://t.co/Ep0njsUXZe   \n",
              "127589                                                                                                                                           @ACPinternists @AmerMedicalAssn @SenateDems @HouseDemocrats @SenSanders @AOC Its time to take action to criminalize the negligent spread of all communicable diseases. #Covid #Measles #Polio #monkeypox   \n",
              "127598                                                                                                                                  @JeremyRedfernFL @ChristinaPushaw @JulieASeaver '98% of people infected by Monkeypox were gay and bisexual men'\\n\\nI am looking forward to the alphabet community losing their collective shit over this factoid.   \n",
              "127609                                                                                                                                                                                                                                                                                      @italianpepsiman What is the most likely origin of monkeypox?   \n",
              "127624                                                                                                                                                                                                                                                          MONKEYPOX\\nI DONT WANT\\nNONE.\\nCOPENHAGEN\\nDENMARK.\\nIT CAME FROM \\nTHESE TWO.\\n#STAYSAFE   \n",
              "127626  @RepSpanberger @POTUS How about a Safer America Plan regarding the unaddressed #Covid19 &amp; #MonkeyPox pandemics? How about science-informed action like N95 Mask mandates &amp; air ventilation/disinfection, instead of pretending the pandemic's over &amp; ignoring those w #LongCovid disability?\\n#CovidIsNotOver https://t.co/rMPO8lrsxC   \n",
              "127637                                                                                                                                                                                                                       @LivePDDave1 We want her to take the shots, all of them. Monkeypox hpv, ect. she should take them all and then go for a jog.   \n",
              "127659                                                                                                                       NIH, Wuhan were working on monkeypox\\n2,570,773 views  May 31, 2022, Wuhan Institute of Virology published on monkeypox research 3 months ago, NIH also have been researching monkeypox treatment\\n\\nhttps://t.co/KuVQ82LRON   \n",
              "127668                                                                                                                                                                                                                                                                              ABC News: Top StoriesUS confirms first cases of monkeypox in children   \n",
              "127690                                                                                                                                                                                                                                                                       @MorningAnswer Why are children getting monkey pox?  Who is raping our kids?   \n",
              "127711                                                                                                                                                                                                                                                                 Monkeypox virus could become a new STD in the UnitedStates https://t.co/nquihl17uc   \n",
              "127744                                                                                                                                                                                                                                                             Monkeypox virus could become entrenched as new STD in the U.S. https://t.co/ia9LTTyK2Z   \n",
              "127745                                                                                                                                                                                                                 U.S. Confirms First Two Cases Of Monkeypox In Children  One Case Is In California\\nhttps://t.co/PR2HfTFj6r https://t.co/5JApt8oXb5   \n",
              "127749                                                                                                                                                                                Experts say the spread of monkeypox in the US may become entrenched with the spread of sexually transmitted diseaseshttps://t.co/cQiKrd8mlc https://t.co/ewcaYvxjbV   \n",
              "127775                                                                                                                            @benryanwriter @Columbia I recently discovered you through through your excellent reporting on monkeypox and was dismayed to learn yesterday that you're going through chemotherapy. I sincerely wish you all the best.   \n",
              "127812                                                                                                                                                                                                                                                                          Monkeypox: US confirms first two cases inchildren https://t.co/zTlOxcCRri   \n",
              "127815                                                                                                                                                                                                                                        @suricidal @brwnhellokitty @rabbytwt Rae has monkeypox transmissible through replying to her on twitter btw   \n",
              "127819                                                                                       What it essentially means is that PCR tests cannot recognize the original Monkeypox virus.\\nThis means that if there is a monkeypox outbreak and PCR tests can recognize it, it can only be the altered lab version of the virus.\\n\\nhttps://t.co/ooVeAxj08k   \n",
              "127842                                                                                                                                                                                                                                                               Two children diagnosed with monkeypox in U.S., officials say https://t.co/jlbIrjvaTH   \n",
              "127854                                                                                                                                                                                                                                                     US confirms first two cases of monkeypox in children  one inCalifornia https://t.co/PbKMnd3hce   \n",
              "127856                                                                                                                                                                                                                                                                                2 children diagnosed with monkeypox in U.S. https://t.co/tZZ2mG1lS4   \n",
              "127866                                                                                                                                                                                                                                           U.S. confirms first two cases of monkeypox in children  one case is inCalifornia https://t.co/yO5N9UGpfP   \n",
              "127867                                                                                                                                                                                                                                                            Doctors reveal severe new symptoms of monkeypox similar to STIs https://t.co/Ml52h4LJLw   \n",
              "127899                                                                                                                                                                                                                                                                                                              @SebGorka I'd rather get monkey pox.    \n",
              "127900                                                                                                                                                                                                                                                                       @denise_dewald Is someone dx with MRSA more susceptible to monkeypox? Thanks   \n",
              "127906                                                                                                                                                                                             @michaelbd HOW did he only end up with Monkey Pox? Holy crap thats a lot of damn sex. And pee. My goodness. Maybe get checked for strep, too? I dunno?   \n",
              "127911                                                                                                                                                              Thanks to our Long COVID Justice Advisory Team member @CeciliaGentili, @actupny and all those involved in this powerful, urgent call for action on #monkeypox https://t.co/hnV3k9gnun   \n",
              "127921                                                                                                                                                                                                                                             US confirms first two cases of monkeypox in children  one case is inCalifornia https://t.co/kZcwLov9op   \n",
              "\n",
              "0                                                            tweet_url  \\\n",
              "127492      https://twitter.com/abukayyis42/status/1550638406807330816   \n",
              "127500    https://twitter.com/ALEXANDERKORE/status/1550638674777350145   \n",
              "127508    https://twitter.com/RolleGilfordR/status/1550638657635323906   \n",
              "127510      https://twitter.com/JosephStal2/status/1550638886493204480   \n",
              "127511        https://twitter.com/UniAntoni/status/1550638586416238598   \n",
              "127520    https://twitter.com/IncognitaBonk/status/1550638774803210240   \n",
              "127522     https://twitter.com/VisitoryNews/status/1550639962315423744   \n",
              "127526     https://twitter.com/SimpleMedia_/status/1550639431685705728   \n",
              "127540       https://twitter.com/Monkeypoxx/status/1550639963192324096   \n",
              "127558        https://twitter.com/MfkrAlqrn/status/1550640073053540356   \n",
              "127569  https://twitter.com/chi_libertarian/status/1550636910376263680   \n",
              "127576     https://twitter.com/Npressnewstv/status/1550638130096754688   \n",
              "127577        https://twitter.com/jeepeg274/status/1550636603651112960   \n",
              "127589       https://twitter.com/MedDataDoc/status/1550636849449746433   \n",
              "127598       https://twitter.com/JoeDuong71/status/1550636607765565440   \n",
              "127609   https://twitter.com/America1stCats/status/1550637632689819650   \n",
              "127624       https://twitter.com/gibson8159/status/1550637126705975299   \n",
              "127626        https://twitter.com/HughGnomy/status/1550637959648399360   \n",
              "127637       https://twitter.com/DrFlarmers/status/1550637109567840256   \n",
              "127659         https://twitter.com/DeddudeX/status/1550635001154256897   \n",
              "127668        https://twitter.com/MfkrAlqrn/status/1550635051980914689   \n",
              "127690    https://twitter.com/OldArmyNurse4/status/1550635094867681280   \n",
              "127711      https://twitter.com/bulletin_ex/status/1550635906607882240   \n",
              "127744      https://twitter.com/BeloteClare/status/1550635144997912577   \n",
              "127745      https://twitter.com/Momof4Cats4/status/1550634841951113223   \n",
              "127749         https://twitter.com/ABelka70/status/1550633337013805056   \n",
              "127775  https://twitter.com/whatnotwantsnot/status/1550633529914040320   \n",
              "127812        https://twitter.com/NetionalD/status/1550634701626425345   \n",
              "127815       https://twitter.com/freejohnfr/status/1550634728256053248   \n",
              "127819         https://twitter.com/DeddudeX/status/1550634686568955905   \n",
              "127842    https://twitter.com/TaunyaCurry73/status/1550632070166216705   \n",
              "127854         https://twitter.com/ABelka70/status/1550633133011357699   \n",
              "127856       https://twitter.com/SegirtNews/status/1550632195533836288   \n",
              "127866      https://twitter.com/abukayyis42/status/1550632166773690368   \n",
              "127867    https://twitter.com/TaunyaCurry73/status/1550633071904530432   \n",
              "127899   https://twitter.com/VassilionLinda/status/1550633092921958400   \n",
              "127900   https://twitter.com/pike_pole_pete/status/1550632375352164353   \n",
              "127906   https://twitter.com/FoolHomeschool/status/1550632843927326720   \n",
              "127911    https://twitter.com/LongCOVIDNatl/status/1550632229868650496   \n",
              "127921  https://twitter.com/salimchaouche20/status/1550632256741449728   \n",
              "\n",
              "0              user_location                                    hashtags  \n",
              "127492                                                                    \n",
              "127500           chicago  il                                              \n",
              "127508                                                         SmartNews  \n",
              "127510                                                                    \n",
              "127511               bangkok                                              \n",
              "127520                                                                    \n",
              "127522                global                                              \n",
              "127526       chicago  il usa                                              \n",
              "127540             worldwide                                   monkeypox  \n",
              "127558            new jersey                                              \n",
              "127569                                                                    \n",
              "127576               nigeria                                              \n",
              "127577                                                                    \n",
              "127589                                     Covid Measles Polio monkeypox  \n",
              "127598                                                                    \n",
              "127609          portland  or                                              \n",
              "127624                                                          STAYSAFE  \n",
              "127626         sammamish  wa  Covid19 MonkeyPox LongCovid CovidIsNotOver  \n",
              "127637                                                                    \n",
              "127659         polk city  fl                                              \n",
              "127668            new jersey                                              \n",
              "127690         illinois  usa                                              \n",
              "127711                                                                    \n",
              "127744                                                                    \n",
              "127745            queens  ny                                              \n",
              "127749                                                                    \n",
              "127775        montral  qubec                                              \n",
              "127812                                                                    \n",
              "127815                                                                    \n",
              "127819         polk city  fl                                              \n",
              "127842                                                                    \n",
              "127854                                                                    \n",
              "127856                                                                    \n",
              "127866                                                                    \n",
              "127867                                                                    \n",
              "127899         las vegas  nv                                              \n",
              "127900       ottawa  ontario                                              \n",
              "127906  md   meowtains of wv                                              \n",
              "127911                                                         monkeypox  \n",
              "127921                                                                    "
            ],
            "text/html": [
              "\n",
              "  <div id=\"df-ab58ad70-c345-48c3-914d-38f4724c5878\">\n",
              "    <div class=\"colab-df-container\">\n",
              "      <div>\n",
              "<style scoped>\n",
              "    .dataframe tbody tr th:only-of-type {\n",
              "        vertical-align: middle;\n",
              "    }\n",
              "\n",
              "    .dataframe tbody tr th {\n",
              "        vertical-align: top;\n",
              "    }\n",
              "\n",
              "    .dataframe thead th {\n",
              "        text-align: right;\n",
              "    }\n",
              "</style>\n",
              "<table border=\"1\" class=\"dataframe\">\n",
              "  <thead>\n",
              "    <tr style=\"text-align: right;\">\n",
              "      <th></th>\n",
              "      <th>date</th>\n",
              "      <th>user_screen_name</th>\n",
              "      <th>text</th>\n",
              "      <th>tweet_url</th>\n",
              "      <th>user_location</th>\n",
              "      <th>hashtags</th>\n",
              "    </tr>\n",
              "  </thead>\n",
              "  <tbody>\n",
              "    <tr>\n",
              "      <th>127492</th>\n",
              "      <td>2022-03-19</td>\n",
              "      <td>abukayyis42</td>\n",
              "      <td>Florida Department of Health reports one confirmed case of monkeypox in DuvalCounty https://t.co/sCRuwOTzTX</td>\n",
              "      <td>https://twitter.com/abukayyis42/status/1550638406807330816</td>\n",
              "      <td></td>\n",
              "      <td></td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>127500</th>\n",
              "      <td>2022-01-27</td>\n",
              "      <td>ALEXANDERKORE</td>\n",
              "      <td>@BenjaminEnfield Good for him monkeypox is around so he's just keeping safe</td>\n",
              "      <td>https://twitter.com/ALEXANDERKORE/status/1550638674777350145</td>\n",
              "      <td>chicago  il</td>\n",
              "      <td></td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>127508</th>\n",
              "      <td>2022-01-15</td>\n",
              "      <td>RolleGilfordR</td>\n",
              "      <td>Two children diagnosed with monkeypox in U.S., officials say #SmartNews  https://t.co/popA5LzCCc</td>\n",
              "      <td>https://twitter.com/RolleGilfordR/status/1550638657635323906</td>\n",
              "      <td></td>\n",
              "      <td>SmartNews</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>127510</th>\n",
              "      <td>2022-06-19</td>\n",
              "      <td>JosephStal2</td>\n",
              "      <td>@DanielTurnerPTF Cost of getting monkeypox from Pete Buttigiegs dick: Priceless</td>\n",
              "      <td>https://twitter.com/JosephStal2/status/1550638886493204480</td>\n",
              "      <td></td>\n",
              "      <td></td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>127511</th>\n",
              "      <td>2022-06-27</td>\n",
              "      <td>UniAntoni</td>\n",
              "      <td>Thai police searching for monkeypox-infected Nigerian man - Phuket News - ASEAN NOW - News, Travel &amp;amp; Forum https://t.co/LQVSEil22j</td>\n",
              "      <td>https://twitter.com/UniAntoni/status/1550638586416238598</td>\n",
              "      <td>bangkok</td>\n",
              "      <td></td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>127520</th>\n",
              "      <td>2022-07-06</td>\n",
              "      <td>IncognitaBonk</td>\n",
              "      <td>Houston: We have a (Monkeypox) problem: https://t.co/Jg1Ddzrsjr</td>\n",
              "      <td>https://twitter.com/IncognitaBonk/status/1550638774803210240</td>\n",
              "      <td></td>\n",
              "      <td></td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>127522</th>\n",
              "      <td>2022-02-23</td>\n",
              "      <td>VisitoryNews</td>\n",
              "      <td>Two children have been diagnosed with monkeypox in the US. Via @AP https://t.co/fziR7lZPmC' - Tweeted by: @business</td>\n",
              "      <td>https://twitter.com/VisitoryNews/status/1550639962315423744</td>\n",
              "      <td>global</td>\n",
              "      <td></td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>127526</th>\n",
              "      <td>2022-01-03</td>\n",
              "      <td>SimpleMedia_</td>\n",
              "      <td>2 children diagnosed with monkeypox inU.S. https://t.co/6ShqxO6m1K</td>\n",
              "      <td>https://twitter.com/SimpleMedia_/status/1550639431685705728</td>\n",
              "      <td>chicago  il usa</td>\n",
              "      <td></td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>127540</th>\n",
              "      <td>2022-05-19</td>\n",
              "      <td>Monkeypoxx</td>\n",
              "      <td>TPOX\\n#monkeypox</td>\n",
              "      <td>https://twitter.com/Monkeypoxx/status/1550639963192324096</td>\n",
              "      <td>worldwide</td>\n",
              "      <td>monkeypox</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>127558</th>\n",
              "      <td>2022-04-02</td>\n",
              "      <td>MfkrAlqrn</td>\n",
              "      <td>ABC News: Top StoriesUS confirms first cases of monkeypox in children\\nhttps://t.co/3jvmmhSyo6</td>\n",
              "      <td>https://twitter.com/MfkrAlqrn/status/1550640073053540356</td>\n",
              "      <td>new jersey</td>\n",
              "      <td></td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>127569</th>\n",
              "      <td>2022-06-23</td>\n",
              "      <td>chi_libertarian</td>\n",
              "      <td>During covid: the general public can be forced to isolate, kids can be kept home from school and have their development/learning permanently stuntedand were told if we dont comply were uncaring psychos.\\nDuring monkeypox: yOu CanT tELL uS nOt To haVE OrGiEs  https://t.co/RCLvjugnoB</td>\n",
              "      <td>https://twitter.com/chi_libertarian/status/1550636910376263680</td>\n",
              "      <td></td>\n",
              "      <td></td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>127576</th>\n",
              "      <td>2022-05-17</td>\n",
              "      <td>Npressnewstv</td>\n",
              "      <td>NHS steps up monkeypox vaccinations in London with 100,000 more doses - https://t.co/GLSPU1J61p https://t.co/eHeebnoUx6</td>\n",
              "      <td>https://twitter.com/Npressnewstv/status/1550638130096754688</td>\n",
              "      <td>nigeria</td>\n",
              "      <td></td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>127577</th>\n",
              "      <td>2022-03-02</td>\n",
              "      <td>jeepeg274</td>\n",
              "      <td>(Yukon confirms territorys 1st case of monkeypox  https://t.co/cezC2udsD1) has been published on The Globe - https://t.co/Ep0njsUXZe</td>\n",
              "      <td>https://twitter.com/jeepeg274/status/1550636603651112960</td>\n",
              "      <td></td>\n",
              "      <td></td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>127589</th>\n",
              "      <td>2022-05-17</td>\n",
              "      <td>MedDataDoc</td>\n",
              "      <td>@ACPinternists @AmerMedicalAssn @SenateDems @HouseDemocrats @SenSanders @AOC Its time to take action to criminalize the negligent spread of all communicable diseases. #Covid #Measles #Polio #monkeypox</td>\n",
              "      <td>https://twitter.com/MedDataDoc/status/1550636849449746433</td>\n",
              "      <td></td>\n",
              "      <td>Covid Measles Polio monkeypox</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>127598</th>\n",
              "      <td>2022-04-22</td>\n",
              "      <td>JoeDuong71</td>\n",
              "      <td>@JeremyRedfernFL @ChristinaPushaw @JulieASeaver '98% of people infected by Monkeypox were gay and bisexual men'\\n\\nI am looking forward to the alphabet community losing their collective shit over this factoid.</td>\n",
              "      <td>https://twitter.com/JoeDuong71/status/1550636607765565440</td>\n",
              "      <td></td>\n",
              "      <td></td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>127609</th>\n",
              "      <td>2022-07-07</td>\n",
              "      <td>America1stCats</td>\n",
              "      <td>@italianpepsiman What is the most likely origin of monkeypox?</td>\n",
              "      <td>https://twitter.com/America1stCats/status/1550637632689819650</td>\n",
              "      <td>portland  or</td>\n",
              "      <td></td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>127624</th>\n",
              "      <td>2022-02-26</td>\n",
              "      <td>gibson8159</td>\n",
              "      <td>MONKEYPOX\\nI DONT WANT\\nNONE.\\nCOPENHAGEN\\nDENMARK.\\nIT CAME FROM \\nTHESE TWO.\\n#STAYSAFE</td>\n",
              "      <td>https://twitter.com/gibson8159/status/1550637126705975299</td>\n",
              "      <td></td>\n",
              "      <td>STAYSAFE</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>127626</th>\n",
              "      <td>2022-02-26</td>\n",
              "      <td>HughGnomy</td>\n",
              "      <td>@RepSpanberger @POTUS How about a Safer America Plan regarding the unaddressed #Covid19 &amp;amp; #MonkeyPox pandemics? How about science-informed action like N95 Mask mandates &amp;amp; air ventilation/disinfection, instead of pretending the pandemic's over &amp;amp; ignoring those w #LongCovid disability?\\n#CovidIsNotOver https://t.co/rMPO8lrsxC</td>\n",
              "      <td>https://twitter.com/HughGnomy/status/1550637959648399360</td>\n",
              "      <td>sammamish  wa</td>\n",
              "      <td>Covid19 MonkeyPox LongCovid CovidIsNotOver</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>127637</th>\n",
              "      <td>2022-07-09</td>\n",
              "      <td>DrFlarmers</td>\n",
              "      <td>@LivePDDave1 We want her to take the shots, all of them. Monkeypox hpv, ect. she should take them all and then go for a jog.</td>\n",
              "      <td>https://twitter.com/DrFlarmers/status/1550637109567840256</td>\n",
              "      <td></td>\n",
              "      <td></td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>127659</th>\n",
              "      <td>2022-04-27</td>\n",
              "      <td>DeddudeX</td>\n",
              "      <td>NIH, Wuhan were working on monkeypox\\n2,570,773 views  May 31, 2022, Wuhan Institute of Virology published on monkeypox research 3 months ago, NIH also have been researching monkeypox treatment\\n\\nhttps://t.co/KuVQ82LRON</td>\n",
              "      <td>https://twitter.com/DeddudeX/status/1550635001154256897</td>\n",
              "      <td>polk city  fl</td>\n",
              "      <td></td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>127668</th>\n",
              "      <td>2022-04-02</td>\n",
              "      <td>MfkrAlqrn</td>\n",
              "      <td>ABC News: Top StoriesUS confirms first cases of monkeypox in children</td>\n",
              "      <td>https://twitter.com/MfkrAlqrn/status/1550635051980914689</td>\n",
              "      <td>new jersey</td>\n",
              "      <td></td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>127690</th>\n",
              "      <td>2022-04-26</td>\n",
              "      <td>OldArmyNurse4</td>\n",
              "      <td>@MorningAnswer Why are children getting monkey pox?  Who is raping our kids?</td>\n",
              "      <td>https://twitter.com/OldArmyNurse4/status/1550635094867681280</td>\n",
              "      <td>illinois  usa</td>\n",
              "      <td></td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>127711</th>\n",
              "      <td>2022-01-14</td>\n",
              "      <td>bulletin_ex</td>\n",
              "      <td>Monkeypox virus could become a new STD in the UnitedStates https://t.co/nquihl17uc</td>\n",
              "      <td>https://twitter.com/bulletin_ex/status/1550635906607882240</td>\n",
              "      <td></td>\n",
              "      <td></td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>127744</th>\n",
              "      <td>2022-03-03</td>\n",
              "      <td>BeloteClare</td>\n",
              "      <td>Monkeypox virus could become entrenched as new STD in the U.S. https://t.co/ia9LTTyK2Z</td>\n",
              "      <td>https://twitter.com/BeloteClare/status/1550635144997912577</td>\n",
              "      <td></td>\n",
              "      <td></td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>127745</th>\n",
              "      <td>2022-04-14</td>\n",
              "      <td>Momof4Cats4</td>\n",
              "      <td>U.S. Confirms First Two Cases Of Monkeypox In Children  One Case Is In California\\nhttps://t.co/PR2HfTFj6r https://t.co/5JApt8oXb5</td>\n",
              "      <td>https://twitter.com/Momof4Cats4/status/1550634841951113223</td>\n",
              "      <td>queens  ny</td>\n",
              "      <td></td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>127749</th>\n",
              "      <td>2022-04-03</td>\n",
              "      <td>ABelka70</td>\n",
              "      <td>Experts say the spread of monkeypox in the US may become entrenched with the spread of sexually transmitted diseaseshttps://t.co/cQiKrd8mlc https://t.co/ewcaYvxjbV</td>\n",
              "      <td>https://twitter.com/ABelka70/status/1550633337013805056</td>\n",
              "      <td></td>\n",
              "      <td></td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>127775</th>\n",
              "      <td>2022-05-04</td>\n",
              "      <td>whatnotwantsnot</td>\n",
              "      <td>@benryanwriter @Columbia I recently discovered you through through your excellent reporting on monkeypox and was dismayed to learn yesterday that you're going through chemotherapy. I sincerely wish you all the best.</td>\n",
              "      <td>https://twitter.com/whatnotwantsnot/status/1550633529914040320</td>\n",
              "      <td>montral  qubec</td>\n",
              "      <td></td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>127812</th>\n",
              "      <td>2022-01-04</td>\n",
              "      <td>NetionalD</td>\n",
              "      <td>Monkeypox: US confirms first two cases inchildren https://t.co/zTlOxcCRri</td>\n",
              "      <td>https://twitter.com/NetionalD/status/1550634701626425345</td>\n",
              "      <td></td>\n",
              "      <td></td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>127815</th>\n",
              "      <td>2022-07-17</td>\n",
              "      <td>freejohnfr</td>\n",
              "      <td>@suricidal @brwnhellokitty @rabbytwt Rae has monkeypox transmissible through replying to her on twitter btw</td>\n",
              "      <td>https://twitter.com/freejohnfr/status/1550634728256053248</td>\n",
              "      <td></td>\n",
              "      <td></td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>127819</th>\n",
              "      <td>2022-04-27</td>\n",
              "      <td>DeddudeX</td>\n",
              "      <td>What it essentially means is that PCR tests cannot recognize the original Monkeypox virus.\\nThis means that if there is a monkeypox outbreak and PCR tests can recognize it, it can only be the altered lab version of the virus.\\n\\nhttps://t.co/ooVeAxj08k</td>\n",
              "      <td>https://twitter.com/DeddudeX/status/1550634686568955905</td>\n",
              "      <td>polk city  fl</td>\n",
              "      <td></td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>127842</th>\n",
              "      <td>2022-03-27</td>\n",
              "      <td>TaunyaCurry73</td>\n",
              "      <td>Two children diagnosed with monkeypox in U.S., officials say https://t.co/jlbIrjvaTH</td>\n",
              "      <td>https://twitter.com/TaunyaCurry73/status/1550632070166216705</td>\n",
              "      <td></td>\n",
              "      <td></td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>127854</th>\n",
              "      <td>2022-04-03</td>\n",
              "      <td>ABelka70</td>\n",
              "      <td>US confirms first two cases of monkeypox in children  one inCalifornia https://t.co/PbKMnd3hce</td>\n",
              "      <td>https://twitter.com/ABelka70/status/1550633133011357699</td>\n",
              "      <td></td>\n",
              "      <td></td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>127856</th>\n",
              "      <td>2022-04-17</td>\n",
              "      <td>SegirtNews</td>\n",
              "      <td>2 children diagnosed with monkeypox in U.S. https://t.co/tZZ2mG1lS4</td>\n",
              "      <td>https://twitter.com/SegirtNews/status/1550632195533836288</td>\n",
              "      <td></td>\n",
              "      <td></td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>127866</th>\n",
              "      <td>2022-03-19</td>\n",
              "      <td>abukayyis42</td>\n",
              "      <td>U.S. confirms first two cases of monkeypox in children  one case is inCalifornia https://t.co/yO5N9UGpfP</td>\n",
              "      <td>https://twitter.com/abukayyis42/status/1550632166773690368</td>\n",
              "      <td></td>\n",
              "      <td></td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>127867</th>\n",
              "      <td>2022-03-27</td>\n",
              "      <td>TaunyaCurry73</td>\n",
              "      <td>Doctors reveal severe new symptoms of monkeypox similar to STIs https://t.co/Ml52h4LJLw</td>\n",
              "      <td>https://twitter.com/TaunyaCurry73/status/1550633071904530432</td>\n",
              "      <td></td>\n",
              "      <td></td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>127899</th>\n",
              "      <td>2022-04-07</td>\n",
              "      <td>VassilionLinda</td>\n",
              "      <td>@SebGorka I'd rather get monkey pox.</td>\n",
              "      <td>https://twitter.com/VassilionLinda/status/1550633092921958400</td>\n",
              "      <td>las vegas  nv</td>\n",
              "      <td></td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>127900</th>\n",
              "      <td>2022-04-21</td>\n",
              "      <td>pike_pole_pete</td>\n",
              "      <td>@denise_dewald Is someone dx with MRSA more susceptible to monkeypox? Thanks</td>\n",
              "      <td>https://twitter.com/pike_pole_pete/status/1550632375352164353</td>\n",
              "      <td>ottawa  ontario</td>\n",
              "      <td></td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>127906</th>\n",
              "      <td>2022-04-08</td>\n",
              "      <td>FoolHomeschool</td>\n",
              "      <td>@michaelbd HOW did he only end up with Monkey Pox? Holy crap thats a lot of damn sex. And pee. My goodness. Maybe get checked for strep, too? I dunno?</td>\n",
              "      <td>https://twitter.com/FoolHomeschool/status/1550632843927326720</td>\n",
              "      <td>md   meowtains of wv</td>\n",
              "      <td></td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>127911</th>\n",
              "      <td>2022-02-08</td>\n",
              "      <td>LongCOVIDNatl</td>\n",
              "      <td>Thanks to our Long COVID Justice Advisory Team member @CeciliaGentili, @actupny and all those involved in this powerful, urgent call for action on #monkeypox https://t.co/hnV3k9gnun</td>\n",
              "      <td>https://twitter.com/LongCOVIDNatl/status/1550632229868650496</td>\n",
              "      <td></td>\n",
              "      <td>monkeypox</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>127921</th>\n",
              "      <td>2022-02-17</td>\n",
              "      <td>salimchaouche20</td>\n",
              "      <td>US confirms first two cases of monkeypox in children  one case is inCalifornia https://t.co/kZcwLov9op</td>\n",
              "      <td>https://twitter.com/salimchaouche20/status/1550632256741449728</td>\n",
              "      <td></td>\n",
              "      <td></td>\n",
              "    </tr>\n",
              "  </tbody>\n",
              "</table>\n",
              "</div>\n",
              "      <button class=\"colab-df-convert\" onclick=\"convertToInteractive('df-ab58ad70-c345-48c3-914d-38f4724c5878')\"\n",
              "              title=\"Convert this dataframe to an interactive table.\"\n",
              "              style=\"display:none;\">\n",
              "        \n",
              "  <svg xmlns=\"http://www.w3.org/2000/svg\" height=\"24px\"viewBox=\"0 0 24 24\"\n",
              "       width=\"24px\">\n",
              "    <path d=\"M0 0h24v24H0V0z\" fill=\"none\"/>\n",
              "    <path d=\"M18.56 5.44l.94 2.06.94-2.06 2.06-.94-2.06-.94-.94-2.06-.94 2.06-2.06.94zm-11 1L8.5 8.5l.94-2.06 2.06-.94-2.06-.94L8.5 2.5l-.94 2.06-2.06.94zm10 10l.94 2.06.94-2.06 2.06-.94-2.06-.94-.94-2.06-.94 2.06-2.06.94z\"/><path d=\"M17.41 7.96l-1.37-1.37c-.4-.4-.92-.59-1.43-.59-.52 0-1.04.2-1.43.59L10.3 9.45l-7.72 7.72c-.78.78-.78 2.05 0 2.83L4 21.41c.39.39.9.59 1.41.59.51 0 1.02-.2 1.41-.59l7.78-7.78 2.81-2.81c.8-.78.8-2.07 0-2.86zM5.41 20L4 18.59l7.72-7.72 1.47 1.35L5.41 20z\"/>\n",
              "  </svg>\n",
              "      </button>\n",
              "      \n",
              "  <style>\n",
              "    .colab-df-container {\n",
              "      display:flex;\n",
              "      flex-wrap:wrap;\n",
              "      gap: 12px;\n",
              "    }\n",
              "\n",
              "    .colab-df-convert {\n",
              "      background-color: #E8F0FE;\n",
              "      border: none;\n",
              "      border-radius: 50%;\n",
              "      cursor: pointer;\n",
              "      display: none;\n",
              "      fill: #1967D2;\n",
              "      height: 32px;\n",
              "      padding: 0 0 0 0;\n",
              "      width: 32px;\n",
              "    }\n",
              "\n",
              "    .colab-df-convert:hover {\n",
              "      background-color: #E2EBFA;\n",
              "      box-shadow: 0px 1px 2px rgba(60, 64, 67, 0.3), 0px 1px 3px 1px rgba(60, 64, 67, 0.15);\n",
              "      fill: #174EA6;\n",
              "    }\n",
              "\n",
              "    [theme=dark] .colab-df-convert {\n",
              "      background-color: #3B4455;\n",
              "      fill: #D2E3FC;\n",
              "    }\n",
              "\n",
              "    [theme=dark] .colab-df-convert:hover {\n",
              "      background-color: #434B5C;\n",
              "      box-shadow: 0px 1px 3px 1px rgba(0, 0, 0, 0.15);\n",
              "      filter: drop-shadow(0px 1px 2px rgba(0, 0, 0, 0.3));\n",
              "      fill: #FFFFFF;\n",
              "    }\n",
              "  </style>\n",
              "\n",
              "      <script>\n",
              "        const buttonEl =\n",
              "          document.querySelector('#df-ab58ad70-c345-48c3-914d-38f4724c5878 button.colab-df-convert');\n",
              "        buttonEl.style.display =\n",
              "          google.colab.kernel.accessAllowed ? 'block' : 'none';\n",
              "\n",
              "        async function convertToInteractive(key) {\n",
              "          const element = document.querySelector('#df-ab58ad70-c345-48c3-914d-38f4724c5878');\n",
              "          const dataTable =\n",
              "            await google.colab.kernel.invokeFunction('convertToInteractive',\n",
              "                                                     [key], {});\n",
              "          if (!dataTable) return;\n",
              "\n",
              "          const docLinkHtml = 'Like what you see? Visit the ' +\n",
              "            '<a target=\"_blank\" href=https://colab.research.google.com/notebooks/data_table.ipynb>data table notebook</a>'\n",
              "            + ' to learn more about interactive tables.';\n",
              "          element.innerHTML = '';\n",
              "          dataTable['output_type'] = 'display_data';\n",
              "          await google.colab.output.renderOutput(dataTable, element);\n",
              "          const docLink = document.createElement('div');\n",
              "          docLink.innerHTML = docLinkHtml;\n",
              "          element.appendChild(docLink);\n",
              "        }\n",
              "      </script>\n",
              "    </div>\n",
              "  </div>\n",
              "  "
            ]
          },
          "metadata": {},
          "execution_count": 49
        }
      ]
    },
    {
      "cell_type": "markdown",
      "source": [
        "# 4 | Storage"
      ],
      "metadata": {
        "id": "5WYNxkC8Vhd0"
      }
    },
    {
      "cell_type": "markdown",
      "source": [
        "### 4.1  Create SQL database: `monkeypox.db`"
      ],
      "metadata": {
        "id": "SZKYDeyjaST2"
      }
    },
    {
      "cell_type": "code",
      "source": [
        "# https://towardsdatascience.com/have-a-sql-interview-coming-up-ace-it-using-google-colab-6d3c0ffb29dc\n",
        "\n",
        "def pd_to_sqlDB(input_df: pd.DataFrame,\n",
        "                table_name: str,\n",
        "                db_name: str = 'default.db') -> None:\n",
        "\n",
        "    # find columns in the dataframe\n",
        "    cols = input_df.columns\n",
        "    # print(cols) \n",
        "    cols_string = ','.join(cols)\n",
        "    # print(cols_string) \n",
        "    val_wildcard_string = ','.join(['?'] * len(cols))\n",
        "\n",
        "    # connect to a db file if it exists, else create a new file\n",
        "    try:\n",
        "        con = sqlite3.connect(db_name)\n",
        "    except sqlite3.Error:\n",
        "        print(\"Error open db.\\n\")\n",
        "        return False\n",
        "    cur = con.cursor()\n",
        "\n",
        "    # create table\n",
        "    sql_string = f\"\"\"CREATE TABLE {table_name} ({cols_string});\"\"\"\n",
        "    print(sql_string)    \n",
        "    cur.execute(sql_string)\n",
        "\n",
        "    # upload df\n",
        "    rows_to_upload = input_df.to_dict(orient='split')['data']\n",
        "    sql_string = f\"\"\"INSERT INTO {table_name} ({cols_string}) VALUES ({val_wildcard_string});\"\"\"\n",
        "    cur.executemany(sql_string, rows_to_upload)\n",
        "  \n",
        "    # commit changes and close connection\n",
        "    con.commit()\n",
        "    con.close()"
      ],
      "metadata": {
        "id": "nkPEnnFeRdWZ"
      },
      "execution_count": 50,
      "outputs": []
    },
    {
      "cell_type": "code",
      "source": [
        "#  https://towardsdatascience.com/have-a-sql-interview-coming-up-ace-it-using-google-colab-6d3c0ffb29dc\n",
        "\n",
        "def sql_query_to_pd(sql_query_string: str, db_name: str ='mpox.db') -> pd.DataFrame:\n",
        "    \n",
        "    # connect to sql db\n",
        "    con = sqlite3.connect(db_name)\n",
        "\n",
        "    # execute sql query\n",
        "    cursor = con.execute(sql_query_string)\n",
        "\n",
        "    # fetch data and column names\n",
        "    result_data = cursor.fetchall()\n",
        "    cols = [description[0] for description in cursor.description]\n",
        "\n",
        "    # close the connection\n",
        "    con.close()\n",
        "\n",
        "    # return as df\n",
        "    return pd.DataFrame(result_data, columns=cols)"
      ],
      "metadata": {
        "id": "NyBhsOFhP8qM"
      },
      "execution_count": 51,
      "outputs": []
    },
    {
      "cell_type": "markdown",
      "source": [
        "### 4.2  Save tweets to database: `corpus`"
      ],
      "metadata": {
        "id": "-y4IUV84bF-_"
      }
    },
    {
      "cell_type": "code",
      "source": [
        "# read csv as df\n",
        "input_df = pd.read_csv('/content/tweets.csv')\n",
        "\n",
        "# upload df as a SQL table\n",
        "pd_to_sqlDB(input_df,\n",
        "            table_name='corpus',\n",
        "            db_name='mpox.db')"
      ],
      "metadata": {
        "id": "-VBhUeOYQi1d",
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "outputId": "fcc89554-ce07-4a01-d403-02d0db8ecafc"
      },
      "execution_count": 52,
      "outputs": [
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "CREATE TABLE corpus (date,user_screen_name,text,tweet_url,user_location,hashtags);\n"
          ]
        }
      ]
    },
    {
      "cell_type": "markdown",
      "source": [
        "### 4.3  Count locations: `location`"
      ],
      "metadata": {
        "id": "DqtyJUzWaWxb"
      }
    },
    {
      "cell_type": "code",
      "source": [
        "sql_query_string = \"\"\"\n",
        "  SELECT user_location, COUNT(user_location) AS count\n",
        "  FROM corpus\n",
        "  GROUP BY user_location\n",
        "  ORDER BY\n",
        "    COUNT(user_location) DESC\n",
        "\"\"\""
      ],
      "metadata": {
        "id": "edlXLKHLXRiP"
      },
      "execution_count": 53,
      "outputs": []
    },
    {
      "cell_type": "code",
      "source": [
        "location_df = sql_query_to_pd(sql_query_string, db_name='mpox.db')"
      ],
      "metadata": {
        "id": "dXl1U8jOX-2O"
      },
      "execution_count": 54,
      "outputs": []
    },
    {
      "cell_type": "code",
      "source": [
        "location_df.info()"
      ],
      "metadata": {
        "id": "8RnzsHikYNAG",
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "outputId": "8ff2c5a2-adb6-4a17-aa67-a8f46355b634"
      },
      "execution_count": 55,
      "outputs": [
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "<class 'pandas.core.frame.DataFrame'>\n",
            "RangeIndex: 3589 entries, 0 to 3588\n",
            "Data columns (total 2 columns):\n",
            " #   Column         Non-Null Count  Dtype \n",
            "---  ------         --------------  ----- \n",
            " 0   user_location  3588 non-null   object\n",
            " 1   count          3589 non-null   int64 \n",
            "dtypes: int64(1), object(1)\n",
            "memory usage: 56.2+ KB\n"
          ]
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "location_df.tail(10)"
      ],
      "metadata": {
        "id": "2FXQveflbdr1",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 363
        },
        "outputId": "8bcbff0c-32e6-4a3e-ea93-a3abbacb512e"
      },
      "execution_count": 56,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "                      user_location  count\n",
              "3579                             za      1\n",
              "3580                   zanzibarland      1\n",
              "3581               zeta zero nation      1\n",
              "3582          zimbaba  south africa      1\n",
              "3583                       zimbabwe      1\n",
              "3584  zimbabwe south africa america      1\n",
              "3585     zora n  he they xe lesbian      1\n",
              "3586             zwitserland  baden      1\n",
              "3587                         zythos      1\n",
              "3588                           None      0"
            ],
            "text/html": [
              "\n",
              "  <div id=\"df-3e10897d-12d0-4283-ad75-6f739f0dbb06\">\n",
              "    <div class=\"colab-df-container\">\n",
              "      <div>\n",
              "<style scoped>\n",
              "    .dataframe tbody tr th:only-of-type {\n",
              "        vertical-align: middle;\n",
              "    }\n",
              "\n",
              "    .dataframe tbody tr th {\n",
              "        vertical-align: top;\n",
              "    }\n",
              "\n",
              "    .dataframe thead th {\n",
              "        text-align: right;\n",
              "    }\n",
              "</style>\n",
              "<table border=\"1\" class=\"dataframe\">\n",
              "  <thead>\n",
              "    <tr style=\"text-align: right;\">\n",
              "      <th></th>\n",
              "      <th>user_location</th>\n",
              "      <th>count</th>\n",
              "    </tr>\n",
              "  </thead>\n",
              "  <tbody>\n",
              "    <tr>\n",
              "      <th>3579</th>\n",
              "      <td>za</td>\n",
              "      <td>1</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>3580</th>\n",
              "      <td>zanzibarland</td>\n",
              "      <td>1</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>3581</th>\n",
              "      <td>zeta zero nation</td>\n",
              "      <td>1</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>3582</th>\n",
              "      <td>zimbaba  south africa</td>\n",
              "      <td>1</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>3583</th>\n",
              "      <td>zimbabwe</td>\n",
              "      <td>1</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>3584</th>\n",
              "      <td>zimbabwe south africa america</td>\n",
              "      <td>1</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>3585</th>\n",
              "      <td>zora n  he they xe lesbian</td>\n",
              "      <td>1</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>3586</th>\n",
              "      <td>zwitserland  baden</td>\n",
              "      <td>1</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>3587</th>\n",
              "      <td>zythos</td>\n",
              "      <td>1</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>3588</th>\n",
              "      <td>None</td>\n",
              "      <td>0</td>\n",
              "    </tr>\n",
              "  </tbody>\n",
              "</table>\n",
              "</div>\n",
              "      <button class=\"colab-df-convert\" onclick=\"convertToInteractive('df-3e10897d-12d0-4283-ad75-6f739f0dbb06')\"\n",
              "              title=\"Convert this dataframe to an interactive table.\"\n",
              "              style=\"display:none;\">\n",
              "        \n",
              "  <svg xmlns=\"http://www.w3.org/2000/svg\" height=\"24px\"viewBox=\"0 0 24 24\"\n",
              "       width=\"24px\">\n",
              "    <path d=\"M0 0h24v24H0V0z\" fill=\"none\"/>\n",
              "    <path d=\"M18.56 5.44l.94 2.06.94-2.06 2.06-.94-2.06-.94-.94-2.06-.94 2.06-2.06.94zm-11 1L8.5 8.5l.94-2.06 2.06-.94-2.06-.94L8.5 2.5l-.94 2.06-2.06.94zm10 10l.94 2.06.94-2.06 2.06-.94-2.06-.94-.94-2.06-.94 2.06-2.06.94z\"/><path d=\"M17.41 7.96l-1.37-1.37c-.4-.4-.92-.59-1.43-.59-.52 0-1.04.2-1.43.59L10.3 9.45l-7.72 7.72c-.78.78-.78 2.05 0 2.83L4 21.41c.39.39.9.59 1.41.59.51 0 1.02-.2 1.41-.59l7.78-7.78 2.81-2.81c.8-.78.8-2.07 0-2.86zM5.41 20L4 18.59l7.72-7.72 1.47 1.35L5.41 20z\"/>\n",
              "  </svg>\n",
              "      </button>\n",
              "      \n",
              "  <style>\n",
              "    .colab-df-container {\n",
              "      display:flex;\n",
              "      flex-wrap:wrap;\n",
              "      gap: 12px;\n",
              "    }\n",
              "\n",
              "    .colab-df-convert {\n",
              "      background-color: #E8F0FE;\n",
              "      border: none;\n",
              "      border-radius: 50%;\n",
              "      cursor: pointer;\n",
              "      display: none;\n",
              "      fill: #1967D2;\n",
              "      height: 32px;\n",
              "      padding: 0 0 0 0;\n",
              "      width: 32px;\n",
              "    }\n",
              "\n",
              "    .colab-df-convert:hover {\n",
              "      background-color: #E2EBFA;\n",
              "      box-shadow: 0px 1px 2px rgba(60, 64, 67, 0.3), 0px 1px 3px 1px rgba(60, 64, 67, 0.15);\n",
              "      fill: #174EA6;\n",
              "    }\n",
              "\n",
              "    [theme=dark] .colab-df-convert {\n",
              "      background-color: #3B4455;\n",
              "      fill: #D2E3FC;\n",
              "    }\n",
              "\n",
              "    [theme=dark] .colab-df-convert:hover {\n",
              "      background-color: #434B5C;\n",
              "      box-shadow: 0px 1px 3px 1px rgba(0, 0, 0, 0.15);\n",
              "      filter: drop-shadow(0px 1px 2px rgba(0, 0, 0, 0.3));\n",
              "      fill: #FFFFFF;\n",
              "    }\n",
              "  </style>\n",
              "\n",
              "      <script>\n",
              "        const buttonEl =\n",
              "          document.querySelector('#df-3e10897d-12d0-4283-ad75-6f739f0dbb06 button.colab-df-convert');\n",
              "        buttonEl.style.display =\n",
              "          google.colab.kernel.accessAllowed ? 'block' : 'none';\n",
              "\n",
              "        async function convertToInteractive(key) {\n",
              "          const element = document.querySelector('#df-3e10897d-12d0-4283-ad75-6f739f0dbb06');\n",
              "          const dataTable =\n",
              "            await google.colab.kernel.invokeFunction('convertToInteractive',\n",
              "                                                     [key], {});\n",
              "          if (!dataTable) return;\n",
              "\n",
              "          const docLinkHtml = 'Like what you see? Visit the ' +\n",
              "            '<a target=\"_blank\" href=https://colab.research.google.com/notebooks/data_table.ipynb>data table notebook</a>'\n",
              "            + ' to learn more about interactive tables.';\n",
              "          element.innerHTML = '';\n",
              "          dataTable['output_type'] = 'display_data';\n",
              "          await google.colab.output.renderOutput(dataTable, element);\n",
              "          const docLink = document.createElement('div');\n",
              "          docLink.innerHTML = docLinkHtml;\n",
              "          element.appendChild(docLink);\n",
              "        }\n",
              "      </script>\n",
              "    </div>\n",
              "  </div>\n",
              "  "
            ]
          },
          "metadata": {},
          "execution_count": 56
        }
      ]
    },
    {
      "cell_type": "markdown",
      "source": [
        "### 4.4  Read tables from database: `corpus_df` and `location_df`"
      ],
      "metadata": {
        "id": "DQRSrmAFbNEZ"
      }
    },
    {
      "cell_type": "code",
      "source": [
        "sql_query_string = \"\"\"\n",
        "    SELECT *\n",
        "    FROM corpus\n",
        "\"\"\"\n",
        "corpus_df = sql_query_to_pd(sql_query_string, db_name='mpox.db')\n",
        "corpus_df"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 1000
        },
        "id": "4SNg085DbE9X",
        "outputId": "2d9af509-3e57-40bd-93c4-f186041799ef"
      },
      "execution_count": 57,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "             date user_screen_name  \\\n",
              "0      2022-04-01      LeftistHank   \n",
              "1      2022-04-01        YUCCAYAWN   \n",
              "2      2022-04-01  pufpuffprincess   \n",
              "3      2022-04-01  pufpuffprincess   \n",
              "4      2022-04-01     Xenon1337xV2   \n",
              "...           ...              ...   \n",
              "28493  2022-04-07   VassilionLinda   \n",
              "28494  2022-04-21   pike_pole_pete   \n",
              "28495  2022-04-08   FoolHomeschool   \n",
              "28496  2022-02-08    LongCOVIDNatl   \n",
              "28497  2022-02-17  salimchaouche20   \n",
              "\n",
              "                                                                                                                                                                                                                                                                                                                                          text  \\\n",
              "0                                                                                                                                                                                                                                                                                                oh monkey POX? I thought you said monkey POGS   \n",
              "1                                                                                                                                                                                                                                                           lemme be clear ... if you like your monkey pox im afraid of where my life is going   \n",
              "2                                                                                                                                                                                                                                                    @KIINGEFFIE_ @JayceBliss @Carol1mcs @TMZ Yes, Monkey pox can affect people of every race.   \n",
              "3      @Craig4lyfe23 @NateSanti @Youngkid_Vibes @TMZ Monkey pox does not come from monkeys. \\nThe people who have been affected in the recent outbreak aren't Africans and the recorded outbreaks didn't take place in Africa.\\nRacism comes in all forms and calling it out no matter how small it seems doesn't minimalize racism as a whole   \n",
              "4                                                                                                                                                                      Not happening. \\n\\nThe vast majority will believe the small pox/monkey pox MSN bullshit just as they have fell for the covid and Ukraine bollox https://t.co/caYUrKVpW3   \n",
              "...                                                                                                                                                                                                                                                                                                                                        ...   \n",
              "28493                                                                                                                                                                                                                                                                                                    @SebGorka I'd rather get monkey pox.    \n",
              "28494                                                                                                                                                                                                                                                             @denise_dewald Is someone dx with MRSA more susceptible to monkeypox? Thanks   \n",
              "28495                                                                                                                                                                                   @michaelbd HOW did he only end up with Monkey Pox? Holy crap thats a lot of damn sex. And pee. My goodness. Maybe get checked for strep, too? I dunno?   \n",
              "28496                                                                                                                                                    Thanks to our Long COVID Justice Advisory Team member @CeciliaGentili, @actupny and all those involved in this powerful, urgent call for action on #monkeypox https://t.co/hnV3k9gnun   \n",
              "28497                                                                                                                                                                                                                                   US confirms first two cases of monkeypox in children  one case is inCalifornia https://t.co/kZcwLov9op   \n",
              "\n",
              "                                                            tweet_url  \\\n",
              "0          https://twitter.com/LeftistHank/status/1527751952448344065   \n",
              "1            https://twitter.com/YUCCAYAWN/status/1527396267633963019   \n",
              "2      https://twitter.com/pufpuffprincess/status/1527398696907857921   \n",
              "3      https://twitter.com/pufpuffprincess/status/1527395142377869317   \n",
              "4         https://twitter.com/Xenon1337xV2/status/1528099437473677312   \n",
              "...                                                               ...   \n",
              "28493   https://twitter.com/VassilionLinda/status/1550633092921958400   \n",
              "28494   https://twitter.com/pike_pole_pete/status/1550632375352164353   \n",
              "28495   https://twitter.com/FoolHomeschool/status/1550632843927326720   \n",
              "28496    https://twitter.com/LongCOVIDNatl/status/1550632229868650496   \n",
              "28497  https://twitter.com/salimchaouche20/status/1550632256741449728   \n",
              "\n",
              "               user_location   hashtags  \n",
              "0                chicago  il       None  \n",
              "1                       None       None  \n",
              "2      charlie lastra s arms       None  \n",
              "3      charlie lastra s arms       None  \n",
              "4                       None       None  \n",
              "...                      ...        ...  \n",
              "28493          las vegas  nv       None  \n",
              "28494        ottawa  ontario       None  \n",
              "28495   md   meowtains of wv       None  \n",
              "28496                   None  monkeypox  \n",
              "28497                   None       None  \n",
              "\n",
              "[28498 rows x 6 columns]"
            ],
            "text/html": [
              "\n",
              "  <div id=\"df-5803b452-7fe7-4508-84e4-846f4f0d5102\">\n",
              "    <div class=\"colab-df-container\">\n",
              "      <div>\n",
              "<style scoped>\n",
              "    .dataframe tbody tr th:only-of-type {\n",
              "        vertical-align: middle;\n",
              "    }\n",
              "\n",
              "    .dataframe tbody tr th {\n",
              "        vertical-align: top;\n",
              "    }\n",
              "\n",
              "    .dataframe thead th {\n",
              "        text-align: right;\n",
              "    }\n",
              "</style>\n",
              "<table border=\"1\" class=\"dataframe\">\n",
              "  <thead>\n",
              "    <tr style=\"text-align: right;\">\n",
              "      <th></th>\n",
              "      <th>date</th>\n",
              "      <th>user_screen_name</th>\n",
              "      <th>text</th>\n",
              "      <th>tweet_url</th>\n",
              "      <th>user_location</th>\n",
              "      <th>hashtags</th>\n",
              "    </tr>\n",
              "  </thead>\n",
              "  <tbody>\n",
              "    <tr>\n",
              "      <th>0</th>\n",
              "      <td>2022-04-01</td>\n",
              "      <td>LeftistHank</td>\n",
              "      <td>oh monkey POX? I thought you said monkey POGS</td>\n",
              "      <td>https://twitter.com/LeftistHank/status/1527751952448344065</td>\n",
              "      <td>chicago  il</td>\n",
              "      <td>None</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>1</th>\n",
              "      <td>2022-04-01</td>\n",
              "      <td>YUCCAYAWN</td>\n",
              "      <td>lemme be clear ... if you like your monkey pox im afraid of where my life is going</td>\n",
              "      <td>https://twitter.com/YUCCAYAWN/status/1527396267633963019</td>\n",
              "      <td>None</td>\n",
              "      <td>None</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>2</th>\n",
              "      <td>2022-04-01</td>\n",
              "      <td>pufpuffprincess</td>\n",
              "      <td>@KIINGEFFIE_ @JayceBliss @Carol1mcs @TMZ Yes, Monkey pox can affect people of every race.</td>\n",
              "      <td>https://twitter.com/pufpuffprincess/status/1527398696907857921</td>\n",
              "      <td>charlie lastra s arms</td>\n",
              "      <td>None</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>3</th>\n",
              "      <td>2022-04-01</td>\n",
              "      <td>pufpuffprincess</td>\n",
              "      <td>@Craig4lyfe23 @NateSanti @Youngkid_Vibes @TMZ Monkey pox does not come from monkeys. \\nThe people who have been affected in the recent outbreak aren't Africans and the recorded outbreaks didn't take place in Africa.\\nRacism comes in all forms and calling it out no matter how small it seems doesn't minimalize racism as a whole</td>\n",
              "      <td>https://twitter.com/pufpuffprincess/status/1527395142377869317</td>\n",
              "      <td>charlie lastra s arms</td>\n",
              "      <td>None</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>4</th>\n",
              "      <td>2022-04-01</td>\n",
              "      <td>Xenon1337xV2</td>\n",
              "      <td>Not happening. \\n\\nThe vast majority will believe the small pox/monkey pox MSN bullshit just as they have fell for the covid and Ukraine bollox https://t.co/caYUrKVpW3</td>\n",
              "      <td>https://twitter.com/Xenon1337xV2/status/1528099437473677312</td>\n",
              "      <td>None</td>\n",
              "      <td>None</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>...</th>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>28493</th>\n",
              "      <td>2022-04-07</td>\n",
              "      <td>VassilionLinda</td>\n",
              "      <td>@SebGorka I'd rather get monkey pox.</td>\n",
              "      <td>https://twitter.com/VassilionLinda/status/1550633092921958400</td>\n",
              "      <td>las vegas  nv</td>\n",
              "      <td>None</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>28494</th>\n",
              "      <td>2022-04-21</td>\n",
              "      <td>pike_pole_pete</td>\n",
              "      <td>@denise_dewald Is someone dx with MRSA more susceptible to monkeypox? Thanks</td>\n",
              "      <td>https://twitter.com/pike_pole_pete/status/1550632375352164353</td>\n",
              "      <td>ottawa  ontario</td>\n",
              "      <td>None</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>28495</th>\n",
              "      <td>2022-04-08</td>\n",
              "      <td>FoolHomeschool</td>\n",
              "      <td>@michaelbd HOW did he only end up with Monkey Pox? Holy crap thats a lot of damn sex. And pee. My goodness. Maybe get checked for strep, too? I dunno?</td>\n",
              "      <td>https://twitter.com/FoolHomeschool/status/1550632843927326720</td>\n",
              "      <td>md   meowtains of wv</td>\n",
              "      <td>None</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>28496</th>\n",
              "      <td>2022-02-08</td>\n",
              "      <td>LongCOVIDNatl</td>\n",
              "      <td>Thanks to our Long COVID Justice Advisory Team member @CeciliaGentili, @actupny and all those involved in this powerful, urgent call for action on #monkeypox https://t.co/hnV3k9gnun</td>\n",
              "      <td>https://twitter.com/LongCOVIDNatl/status/1550632229868650496</td>\n",
              "      <td>None</td>\n",
              "      <td>monkeypox</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>28497</th>\n",
              "      <td>2022-02-17</td>\n",
              "      <td>salimchaouche20</td>\n",
              "      <td>US confirms first two cases of monkeypox in children  one case is inCalifornia https://t.co/kZcwLov9op</td>\n",
              "      <td>https://twitter.com/salimchaouche20/status/1550632256741449728</td>\n",
              "      <td>None</td>\n",
              "      <td>None</td>\n",
              "    </tr>\n",
              "  </tbody>\n",
              "</table>\n",
              "<p>28498 rows × 6 columns</p>\n",
              "</div>\n",
              "      <button class=\"colab-df-convert\" onclick=\"convertToInteractive('df-5803b452-7fe7-4508-84e4-846f4f0d5102')\"\n",
              "              title=\"Convert this dataframe to an interactive table.\"\n",
              "              style=\"display:none;\">\n",
              "        \n",
              "  <svg xmlns=\"http://www.w3.org/2000/svg\" height=\"24px\"viewBox=\"0 0 24 24\"\n",
              "       width=\"24px\">\n",
              "    <path d=\"M0 0h24v24H0V0z\" fill=\"none\"/>\n",
              "    <path d=\"M18.56 5.44l.94 2.06.94-2.06 2.06-.94-2.06-.94-.94-2.06-.94 2.06-2.06.94zm-11 1L8.5 8.5l.94-2.06 2.06-.94-2.06-.94L8.5 2.5l-.94 2.06-2.06.94zm10 10l.94 2.06.94-2.06 2.06-.94-2.06-.94-.94-2.06-.94 2.06-2.06.94z\"/><path d=\"M17.41 7.96l-1.37-1.37c-.4-.4-.92-.59-1.43-.59-.52 0-1.04.2-1.43.59L10.3 9.45l-7.72 7.72c-.78.78-.78 2.05 0 2.83L4 21.41c.39.39.9.59 1.41.59.51 0 1.02-.2 1.41-.59l7.78-7.78 2.81-2.81c.8-.78.8-2.07 0-2.86zM5.41 20L4 18.59l7.72-7.72 1.47 1.35L5.41 20z\"/>\n",
              "  </svg>\n",
              "      </button>\n",
              "      \n",
              "  <style>\n",
              "    .colab-df-container {\n",
              "      display:flex;\n",
              "      flex-wrap:wrap;\n",
              "      gap: 12px;\n",
              "    }\n",
              "\n",
              "    .colab-df-convert {\n",
              "      background-color: #E8F0FE;\n",
              "      border: none;\n",
              "      border-radius: 50%;\n",
              "      cursor: pointer;\n",
              "      display: none;\n",
              "      fill: #1967D2;\n",
              "      height: 32px;\n",
              "      padding: 0 0 0 0;\n",
              "      width: 32px;\n",
              "    }\n",
              "\n",
              "    .colab-df-convert:hover {\n",
              "      background-color: #E2EBFA;\n",
              "      box-shadow: 0px 1px 2px rgba(60, 64, 67, 0.3), 0px 1px 3px 1px rgba(60, 64, 67, 0.15);\n",
              "      fill: #174EA6;\n",
              "    }\n",
              "\n",
              "    [theme=dark] .colab-df-convert {\n",
              "      background-color: #3B4455;\n",
              "      fill: #D2E3FC;\n",
              "    }\n",
              "\n",
              "    [theme=dark] .colab-df-convert:hover {\n",
              "      background-color: #434B5C;\n",
              "      box-shadow: 0px 1px 3px 1px rgba(0, 0, 0, 0.15);\n",
              "      filter: drop-shadow(0px 1px 2px rgba(0, 0, 0, 0.3));\n",
              "      fill: #FFFFFF;\n",
              "    }\n",
              "  </style>\n",
              "\n",
              "      <script>\n",
              "        const buttonEl =\n",
              "          document.querySelector('#df-5803b452-7fe7-4508-84e4-846f4f0d5102 button.colab-df-convert');\n",
              "        buttonEl.style.display =\n",
              "          google.colab.kernel.accessAllowed ? 'block' : 'none';\n",
              "\n",
              "        async function convertToInteractive(key) {\n",
              "          const element = document.querySelector('#df-5803b452-7fe7-4508-84e4-846f4f0d5102');\n",
              "          const dataTable =\n",
              "            await google.colab.kernel.invokeFunction('convertToInteractive',\n",
              "                                                     [key], {});\n",
              "          if (!dataTable) return;\n",
              "\n",
              "          const docLinkHtml = 'Like what you see? Visit the ' +\n",
              "            '<a target=\"_blank\" href=https://colab.research.google.com/notebooks/data_table.ipynb>data table notebook</a>'\n",
              "            + ' to learn more about interactive tables.';\n",
              "          element.innerHTML = '';\n",
              "          dataTable['output_type'] = 'display_data';\n",
              "          await google.colab.output.renderOutput(dataTable, element);\n",
              "          const docLink = document.createElement('div');\n",
              "          docLink.innerHTML = docLinkHtml;\n",
              "          element.appendChild(docLink);\n",
              "        }\n",
              "      </script>\n",
              "    </div>\n",
              "  </div>\n",
              "  "
            ]
          },
          "metadata": {},
          "execution_count": 57
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "corpus_df.info()"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "-pw-P0dzXuFs",
        "outputId": "1bd1069f-4819-452b-c555-33392f748150"
      },
      "execution_count": 58,
      "outputs": [
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "<class 'pandas.core.frame.DataFrame'>\n",
            "RangeIndex: 28498 entries, 0 to 28497\n",
            "Data columns (total 6 columns):\n",
            " #   Column            Non-Null Count  Dtype \n",
            "---  ------            --------------  ----- \n",
            " 0   date              28498 non-null  object\n",
            " 1   user_screen_name  28498 non-null  object\n",
            " 2   text              28498 non-null  object\n",
            " 3   tweet_url         28498 non-null  object\n",
            " 4   user_location     13171 non-null  object\n",
            " 5   hashtags          2827 non-null   object\n",
            "dtypes: object(6)\n",
            "memory usage: 1.3+ MB\n"
          ]
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "location_df.info()"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "DAYGuVZZdpd9",
        "outputId": "bbd612ed-fb3d-4e21-e934-e729dc39b399"
      },
      "execution_count": 59,
      "outputs": [
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "<class 'pandas.core.frame.DataFrame'>\n",
            "RangeIndex: 3589 entries, 0 to 3588\n",
            "Data columns (total 2 columns):\n",
            " #   Column         Non-Null Count  Dtype \n",
            "---  ------         --------------  ----- \n",
            " 0   user_location  3588 non-null   object\n",
            " 1   count          3589 non-null   int64 \n",
            "dtypes: int64(1), object(1)\n",
            "memory usage: 56.2+ KB\n"
          ]
        }
      ]
    },
    {
      "cell_type": "markdown",
      "source": [
        "# 5 | Processing"
      ],
      "metadata": {
        "id": "o58AqssjdG6J"
      }
    },
    {
      "cell_type": "markdown",
      "source": [
        "#### 5.1  Word Count (PySpark)\n",
        "* groupby, count, agg, \n",
        "* google = pyspark word frequency\n"
      ],
      "metadata": {
        "id": "kZHBKBPlX4qW"
      }
    },
    {
      "cell_type": "code",
      "source": [
        "spark = SparkSession.builder\\\n",
        "        .master(\"local\")\\\n",
        "        .appName(\"Colab\")\\\n",
        "        .config('spark.ui.port', '4050')\\\n",
        "        .getOrCreate()"
      ],
      "metadata": {
        "id": "HAAbDzuvG8s2"
      },
      "execution_count": 60,
      "outputs": []
    },
    {
      "cell_type": "code",
      "source": [
        "spark_df = spark.createDataFrame(corpus_df)\n",
        "spark_df.printSchema()\n"
      ],
      "metadata": {
        "id": "bokiUXO9G8s2",
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "outputId": "9b15c341-fe59-452c-ab47-29bdd5c41dba"
      },
      "execution_count": 61,
      "outputs": [
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "root\n",
            " |-- date: string (nullable = true)\n",
            " |-- user_screen_name: string (nullable = true)\n",
            " |-- text: string (nullable = true)\n",
            " |-- tweet_url: string (nullable = true)\n",
            " |-- user_location: string (nullable = true)\n",
            " |-- hashtags: string (nullable = true)\n",
            "\n"
          ]
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "df_schema = StructType([StructField(\"date\", IntegerType(), True)])"
      ],
      "metadata": {
        "id": "KaTrXXbxG8s2"
      },
      "execution_count": 62,
      "outputs": []
    },
    {
      "cell_type": "code",
      "source": [
        "spark_df = spark_df.withColumn('text', \n",
        "                               explode(split(lower(col('text')), '\\s')))"
      ],
      "metadata": {
        "id": "Xi934J5ppqJg"
      },
      "execution_count": 63,
      "outputs": []
    },
    {
      "cell_type": "code",
      "source": [
        "(spark_df.groupBy('text')\n",
        "  .count()\n",
        "  .orderBy('count', ascending=False)\n",
        "  .show(50))"
      ],
      "metadata": {
        "id": "9n6mq63EpqP-",
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "outputId": "141ae2d1-400f-453d-bc83-e9a03b4387c8"
      },
      "execution_count": 64,
      "outputs": [
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "+----------+-----+\n",
            "|      text|count|\n",
            "+----------+-----+\n",
            "|       the|20759|\n",
            "|          |17730|\n",
            "|    monkey|15696|\n",
            "|        to|12088|\n",
            "|       pox|11945|\n",
            "|         a|10117|\n",
            "|       and| 9364|\n",
            "|        is| 8922|\n",
            "|        of| 8873|\n",
            "|        in| 7440|\n",
            "| monkeypox| 6819|\n",
            "|         i| 5311|\n",
            "|       for| 5275|\n",
            "|       you| 5166|\n",
            "|      that| 4382|\n",
            "|        it| 4291|\n",
            "|       are| 3873|\n",
            "|      with| 3594|\n",
            "|      have| 3512|\n",
            "|      they| 3437|\n",
            "|      this| 3337|\n",
            "|        on| 3332|\n",
            "|        be| 3236|\n",
            "|       not| 3167|\n",
            "|        we| 2690|\n",
            "|       who| 2593|\n",
            "|      will| 2311|\n",
            "|      from| 2244|\n",
            "|       get| 2232|\n",
            "|        as| 2165|\n",
            "|        so| 2070|\n",
            "|       all| 2048|\n",
            "|     about| 2006|\n",
            "|      just| 1966|\n",
            "|      your| 1899|\n",
            "|        if| 1886|\n",
            "|     covid| 1871|\n",
            "|       has| 1806|\n",
            "|        or| 1806|\n",
            "|       was| 1794|\n",
            "|       now| 1789|\n",
            "|#monkeypox| 1772|\n",
            "|      like| 1750|\n",
            "|      what| 1737|\n",
            "|    people| 1717|\n",
            "|        by| 1638|\n",
            "|        at| 1632|\n",
            "|       but| 1617|\n",
            "|    health| 1597|\n",
            "|        no| 1563|\n",
            "+----------+-----+\n",
            "only showing top 50 rows\n",
            "\n"
          ]
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "spark_df.groupBy('text')"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "ncCRfac4BHe8",
        "outputId": "9fe66f5f-68c6-47b6-99e0-4f5ca0ff3445"
      },
      "execution_count": 65,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "<pyspark.sql.group.GroupedData at 0x7f9aa4753b10>"
            ]
          },
          "metadata": {},
          "execution_count": 65
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "spark_df = spark_df.withColumn('user_location', \n",
        "                               explode(split(lower(col('user_location')), '\\s')))"
      ],
      "metadata": {
        "id": "8gqquRgf-8eK"
      },
      "execution_count": 66,
      "outputs": []
    },
    {
      "cell_type": "code",
      "source": [
        "(spark_df.groupBy('user_location')\n",
        "  .count()\n",
        "  .orderBy('count', ascending=False)\n",
        "  .show(150))"
      ],
      "metadata": {
        "id": "KUcka0XZ8cT8",
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "outputId": "ac9e5628-a8fc-4391-8da2-7c30b40e2a7c"
      },
      "execution_count": 67,
      "outputs": [
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "+------------------+------+\n",
            "|     user_location| count|\n",
            "+------------------+------+\n",
            "|                  |156784|\n",
            "|            island| 51580|\n",
            "|         sullivans| 50587|\n",
            "|               usa| 26865|\n",
            "|            united| 12154|\n",
            "|            states|  9338|\n",
            "|               the|  9156|\n",
            "|            canada|  8768|\n",
            "|               new|  8521|\n",
            "|             earth|  7142|\n",
            "|                ny|  6902|\n",
            "|                of|  6079|\n",
            "|           england|  5696|\n",
            "|                ca|  5582|\n",
            "|           ontario|  5474|\n",
            "|           florida|  5419|\n",
            "|             texas|  5310|\n",
            "|             south|  5025|\n",
            "|              york|  4730|\n",
            "|                tx|  4345|\n",
            "|      pennsylvania|  3969|\n",
            "|                in|  3941|\n",
            "|                 i|  3788|\n",
            "|                fl|  3631|\n",
            "|            ottawa|  2961|\n",
            "|           kingdom|  2885|\n",
            "|             india|  2795|\n",
            "|        california|  2777|\n",
            "|                nc|  2719|\n",
            "|            london|  2707|\n",
            "|                 s|  2683|\n",
            "|            nevada|  2641|\n",
            "|              your|  2589|\n",
            "|                 a|  2551|\n",
            "|              city|  2360|\n",
            "|            africa|  2340|\n",
            "|              west|  2291|\n",
            "|         worldwide|  2278|\n",
            "|             vegas|  2217|\n",
            "|               las|  2199|\n",
            "|               los|  2158|\n",
            "|             italy|  2153|\n",
            "|                uk|  2145|\n",
            "|           angeles|  2135|\n",
            "|               she|  2124|\n",
            "|         australia|  2120|\n",
            "|             north|  2017|\n",
            "|                on|  1989|\n",
            "|             chain|  1970|\n",
            "|           binance|  1950|\n",
            "|             smart|  1950|\n",
            "|               rdu|  1931|\n",
            "|           america|  1847|\n",
            "|               san|  1829|\n",
            "|             beach|  1756|\n",
            "|            russia|  1705|\n",
            "|           alberta|  1696|\n",
            "|        washington|  1696|\n",
            "|         manhattan|  1690|\n",
            "|               you|  1609|\n",
            "|              east|  1600|\n",
            "|              near|  1537|\n",
            "|              town|  1449|\n",
            "|             state|  1426|\n",
            "|             coast|  1372|\n",
            "|              knew|  1372|\n",
            "|              wish|  1372|\n",
            "|           nigeria|  1347|\n",
            "|          carolina|  1315|\n",
            "|             house|  1281|\n",
            "|            jersey|  1268|\n",
            "|              home|  1264|\n",
            "|           toronto|  1242|\n",
            "|           arizona|  1236|\n",
            "|               her|  1228|\n",
            "|               not|  1223|\n",
            "|               and|  1217|\n",
            "|        everywhere|  1217|\n",
            "|            planet|  1210|\n",
            "|          scotland|  1210|\n",
            "|          colorado|  1206|\n",
            "|                ga|  1184|\n",
            "|         somewhere|  1166|\n",
            "|              free|  1158|\n",
            "|                dc|  1144|\n",
            "|          virginia|  1128|\n",
            "|            county|  1121|\n",
            "|              ohio|  1120|\n",
            "|                wa|  1083|\n",
            "|              they|  1075|\n",
            "|                tn|  1071|\n",
            "|             lagos|  1071|\n",
            "|           british|  1060|\n",
            "|              here|  1055|\n",
            "|          illinois|  1046|\n",
            "|                oh|  1045|\n",
            "|            sussex|  1042|\n",
            "|           chicago|  1028|\n",
            "|                to|  1019|\n",
            "|          columbia|  1009|\n",
            "|              land|   992|\n",
            "|                il|   965|\n",
            "|                he|   955|\n",
            "|          republic|   954|\n",
            "|          brooklyn|   952|\n",
            "|                va|   938|\n",
            "|                is|   924|\n",
            "|                pa|   908|\n",
            "|           ireland|   908|\n",
            "|                mo|   869|\n",
            "|           country|   867|\n",
            "|             world|   852|\n",
            "|            dallas|   846|\n",
            "|          michigan|   829|\n",
            "|           georgia|   828|\n",
            "|             wales|   827|\n",
            "|                 w|   814|\n",
            "|                bc|   796|\n",
            "|                st|   792|\n",
            "|                ma|   788|\n",
            "|          arkansas|   778|\n",
            "|                us|   769|\n",
            "|         stockholm|   768|\n",
            "|          pakistan|   758|\n",
            "|                sc|   748|\n",
            "|           chinada|   730|\n",
            "|               can|   726|\n",
            "|              over|   711|\n",
            "|              lake|   710|\n",
            "|            kansas|   708|\n",
            "|               psy|   692|\n",
            "|             rural|   692|\n",
            "|                op|   692|\n",
            "|       battlefield|   692|\n",
            "|          victoria|   691|\n",
            "|                no|   688|\n",
            "|pediatrichepatitis|   685|\n",
            "|               pdf|   685|\n",
            "|                az|   683|\n",
            "|              fort|   678|\n",
            "|           houston|   677|\n",
            "|           atlanta|   663|\n",
            "|                mi|   661|\n",
            "|          counties|   658|\n",
            "|                 u|   653|\n",
            "|         vancouver|   650|\n",
            "|               bay|   626|\n",
            "|           zealand|   619|\n",
            "|                or|   618|\n",
            "|               all|   605|\n",
            "+------------------+------+\n",
            "only showing top 150 rows\n",
            "\n"
          ]
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "# https://simplemaps.com/data/world-cities"
      ],
      "metadata": {
        "id": "6EtPvFKF8cc2"
      },
      "execution_count": 68,
      "outputs": []
    },
    {
      "cell_type": "markdown",
      "source": [
        "### 5.2 Topic Modeling (NLP)"
      ],
      "metadata": {
        "id": "JTSLt6ow_Mpv"
      }
    },
    {
      "cell_type": "code",
      "source": [
        "terms = corpus_df['text']\n",
        "terms.shape"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "42mEa1QW8cgN",
        "outputId": "70414ddd-9688-491d-8840-0f0a98eac04d"
      },
      "execution_count": 69,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "(28498,)"
            ]
          },
          "metadata": {},
          "execution_count": 69
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "# custom stop words \n",
        "stopwords = nltk.corpus.stopwords.words('english')\n",
        "\n",
        "custom_words = ['monkey',\n",
        "             'pox',\n",
        "             'monkeypox',\n",
        "             'people',\n",
        "             'covid',\n",
        "             'amp',\n",
        "             '19',\n",
        "             '2022',\n",
        "             'another',\n",
        "             'co', 'https', 'cases', 'case', 'new', 'first', 'via', 'confirmed', 'us',\n",
        "             'going', 'one', 'know',\n",
        "             'get', 'like', 'go', 'got', 'time', 'think', 'want',\n",
        "             'health', 'declares', 'outbreak', 'world', 'public', 'declared', 'news', 'says',\n",
        "            'total', 'take', 'virus', 'already', 'getting', 'sure',\n",
        "            'spread', 'disease', 'next', 'would', 'need']\n",
        "stopwords.extend(custom_words)\n"
      ],
      "metadata": {
        "id": "-FPlJAvTCmJC"
      },
      "execution_count": 70,
      "outputs": []
    },
    {
      "cell_type": "code",
      "source": [
        "tf_vectorizer = TfidfVectorizer(stop_words=stopwords, \n",
        "                                min_df=0.01, \n",
        "                                max_df=.95)\n",
        "tf_vectorizer"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "VY_csYom8cjU",
        "outputId": "bda31e61-3728-459c-b4d5-9c95d66187f2"
      },
      "execution_count": 71,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "TfidfVectorizer(max_df=0.95, min_df=0.01,\n",
              "                stop_words=['i', 'me', 'my', 'myself', 'we', 'our', 'ours',\n",
              "                            'ourselves', 'you', \"you're\", \"you've\", \"you'll\",\n",
              "                            \"you'd\", 'your', 'yours', 'yourself', 'yourselves',\n",
              "                            'he', 'him', 'his', 'himself', 'she', \"she's\",\n",
              "                            'her', 'hers', 'herself', 'it', \"it's\", 'its',\n",
              "                            'itself', ...])"
            ]
          },
          "metadata": {},
          "execution_count": 71
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "# document-term matrix with TF-IDF\n",
        "tf_doc_term_mtx = tf_vectorizer.fit_transform(terms)\n",
        "type(tf_doc_term_mtx)"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "tDheeami_MD-",
        "outputId": "55c0a25d-e8c1-4460-da15-32fd8cd3f503"
      },
      "execution_count": 72,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "scipy.sparse.csr.csr_matrix"
            ]
          },
          "metadata": {},
          "execution_count": 72
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "tf_doc_term_df = pd.DataFrame(tf_doc_term_mtx.toarray(), \n",
        "                              columns=tf_vectorizer.get_feature_names_out())\n",
        "tf_doc_term_df.head(2)"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 205
        },
        "id": "iSHobpEfAG31",
        "outputId": "2e6766e4-b978-4990-cd0a-f32d14562991"
      },
      "execution_count": 73,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "   aids  also  anyone  around  back  biden  cdc  children  cnn  come  ...  \\\n",
              "0   0.0   0.0     0.0     0.0   0.0    0.0  0.0       0.0  0.0   0.0  ...   \n",
              "1   0.0   0.0     0.0     0.0   0.0    0.0  0.0       0.0  0.0   0.0  ...   \n",
              "\n",
              "   trump  trying  two  vaccine  vaccines  vax  way  well  years  yet  \n",
              "0    0.0     0.0  0.0      0.0       0.0  0.0  0.0   0.0    0.0  0.0  \n",
              "1    0.0     0.0  0.0      0.0       0.0  0.0  0.0   0.0    0.0  0.0  \n",
              "\n",
              "[2 rows x 82 columns]"
            ],
            "text/html": [
              "\n",
              "  <div id=\"df-6cf272de-89d9-4dba-a5c9-33d2aa724efd\">\n",
              "    <div class=\"colab-df-container\">\n",
              "      <div>\n",
              "<style scoped>\n",
              "    .dataframe tbody tr th:only-of-type {\n",
              "        vertical-align: middle;\n",
              "    }\n",
              "\n",
              "    .dataframe tbody tr th {\n",
              "        vertical-align: top;\n",
              "    }\n",
              "\n",
              "    .dataframe thead th {\n",
              "        text-align: right;\n",
              "    }\n",
              "</style>\n",
              "<table border=\"1\" class=\"dataframe\">\n",
              "  <thead>\n",
              "    <tr style=\"text-align: right;\">\n",
              "      <th></th>\n",
              "      <th>aids</th>\n",
              "      <th>also</th>\n",
              "      <th>anyone</th>\n",
              "      <th>around</th>\n",
              "      <th>back</th>\n",
              "      <th>biden</th>\n",
              "      <th>cdc</th>\n",
              "      <th>children</th>\n",
              "      <th>cnn</th>\n",
              "      <th>come</th>\n",
              "      <th>...</th>\n",
              "      <th>trump</th>\n",
              "      <th>trying</th>\n",
              "      <th>two</th>\n",
              "      <th>vaccine</th>\n",
              "      <th>vaccines</th>\n",
              "      <th>vax</th>\n",
              "      <th>way</th>\n",
              "      <th>well</th>\n",
              "      <th>years</th>\n",
              "      <th>yet</th>\n",
              "    </tr>\n",
              "  </thead>\n",
              "  <tbody>\n",
              "    <tr>\n",
              "      <th>0</th>\n",
              "      <td>0.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>...</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0.0</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>1</th>\n",
              "      <td>0.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>...</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0.0</td>\n",
              "    </tr>\n",
              "  </tbody>\n",
              "</table>\n",
              "<p>2 rows × 82 columns</p>\n",
              "</div>\n",
              "      <button class=\"colab-df-convert\" onclick=\"convertToInteractive('df-6cf272de-89d9-4dba-a5c9-33d2aa724efd')\"\n",
              "              title=\"Convert this dataframe to an interactive table.\"\n",
              "              style=\"display:none;\">\n",
              "        \n",
              "  <svg xmlns=\"http://www.w3.org/2000/svg\" height=\"24px\"viewBox=\"0 0 24 24\"\n",
              "       width=\"24px\">\n",
              "    <path d=\"M0 0h24v24H0V0z\" fill=\"none\"/>\n",
              "    <path d=\"M18.56 5.44l.94 2.06.94-2.06 2.06-.94-2.06-.94-.94-2.06-.94 2.06-2.06.94zm-11 1L8.5 8.5l.94-2.06 2.06-.94-2.06-.94L8.5 2.5l-.94 2.06-2.06.94zm10 10l.94 2.06.94-2.06 2.06-.94-2.06-.94-.94-2.06-.94 2.06-2.06.94z\"/><path d=\"M17.41 7.96l-1.37-1.37c-.4-.4-.92-.59-1.43-.59-.52 0-1.04.2-1.43.59L10.3 9.45l-7.72 7.72c-.78.78-.78 2.05 0 2.83L4 21.41c.39.39.9.59 1.41.59.51 0 1.02-.2 1.41-.59l7.78-7.78 2.81-2.81c.8-.78.8-2.07 0-2.86zM5.41 20L4 18.59l7.72-7.72 1.47 1.35L5.41 20z\"/>\n",
              "  </svg>\n",
              "      </button>\n",
              "      \n",
              "  <style>\n",
              "    .colab-df-container {\n",
              "      display:flex;\n",
              "      flex-wrap:wrap;\n",
              "      gap: 12px;\n",
              "    }\n",
              "\n",
              "    .colab-df-convert {\n",
              "      background-color: #E8F0FE;\n",
              "      border: none;\n",
              "      border-radius: 50%;\n",
              "      cursor: pointer;\n",
              "      display: none;\n",
              "      fill: #1967D2;\n",
              "      height: 32px;\n",
              "      padding: 0 0 0 0;\n",
              "      width: 32px;\n",
              "    }\n",
              "\n",
              "    .colab-df-convert:hover {\n",
              "      background-color: #E2EBFA;\n",
              "      box-shadow: 0px 1px 2px rgba(60, 64, 67, 0.3), 0px 1px 3px 1px rgba(60, 64, 67, 0.15);\n",
              "      fill: #174EA6;\n",
              "    }\n",
              "\n",
              "    [theme=dark] .colab-df-convert {\n",
              "      background-color: #3B4455;\n",
              "      fill: #D2E3FC;\n",
              "    }\n",
              "\n",
              "    [theme=dark] .colab-df-convert:hover {\n",
              "      background-color: #434B5C;\n",
              "      box-shadow: 0px 1px 3px 1px rgba(0, 0, 0, 0.15);\n",
              "      filter: drop-shadow(0px 1px 2px rgba(0, 0, 0, 0.3));\n",
              "      fill: #FFFFFF;\n",
              "    }\n",
              "  </style>\n",
              "\n",
              "      <script>\n",
              "        const buttonEl =\n",
              "          document.querySelector('#df-6cf272de-89d9-4dba-a5c9-33d2aa724efd button.colab-df-convert');\n",
              "        buttonEl.style.display =\n",
              "          google.colab.kernel.accessAllowed ? 'block' : 'none';\n",
              "\n",
              "        async function convertToInteractive(key) {\n",
              "          const element = document.querySelector('#df-6cf272de-89d9-4dba-a5c9-33d2aa724efd');\n",
              "          const dataTable =\n",
              "            await google.colab.kernel.invokeFunction('convertToInteractive',\n",
              "                                                     [key], {});\n",
              "          if (!dataTable) return;\n",
              "\n",
              "          const docLinkHtml = 'Like what you see? Visit the ' +\n",
              "            '<a target=\"_blank\" href=https://colab.research.google.com/notebooks/data_table.ipynb>data table notebook</a>'\n",
              "            + ' to learn more about interactive tables.';\n",
              "          element.innerHTML = '';\n",
              "          dataTable['output_type'] = 'display_data';\n",
              "          await google.colab.output.renderOutput(dataTable, element);\n",
              "          const docLink = document.createElement('div');\n",
              "          docLink.innerHTML = docLinkHtml;\n",
              "          element.appendChild(docLink);\n",
              "        }\n",
              "      </script>\n",
              "    </div>\n",
              "  </div>\n",
              "  "
            ]
          },
          "metadata": {},
          "execution_count": 73
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "# # double check that domain specfic words were omitted \n",
        "print('monkey' in tf_vectorizer.get_feature_names_out())\n",
        "print('pox' in tf_vectorizer.get_feature_names_out())\n",
        "print('monkeypox' in tf_vectorizer.get_feature_names_out())\n",
        "print('covid' in tf_vectorizer.get_feature_names_out())\n",
        "\n",
        "# who and what are mentioned in the corpus? not cdc, trump mentioned \n",
        "print('rash' in tf_vectorizer.get_feature_names_out())\n",
        "print('fever' in tf_vectorizer.get_feature_names_out())\n",
        "print('cdc:', 'cdc' in tf_vectorizer.get_feature_names_out())\n",
        "print('cdcgov' in tf_vectorizer.get_feature_names_out())\n",
        "print('centers for disease control and prevention' in tf_vectorizer.get_feature_names_out())\n",
        "print('walensky' in tf_vectorizer.get_feature_names_out())\n",
        "print('biden:', 'biden' in tf_vectorizer.get_feature_names_out())\n",
        "\n"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "hBDZUcEoAHq5",
        "outputId": "2186bef5-d2d3-47cb-f1af-fd466379b3df"
      },
      "execution_count": 74,
      "outputs": [
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "False\n",
            "False\n",
            "False\n",
            "False\n",
            "False\n",
            "False\n",
            "cdc: True\n",
            "False\n",
            "False\n",
            "False\n",
            "biden: True\n"
          ]
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "# V     visible variables     doc_term             input (corpus matrix)\n",
        "# W     weights               doc_topic            feature set\n",
        "# H     hidden variables      topic_term           coefficients"
      ],
      "metadata": {
        "id": "rfDDgKipAJn4"
      },
      "execution_count": 75,
      "outputs": []
    },
    {
      "cell_type": "code",
      "source": [
        "V = tf_doc_term_mtx\n",
        "V.shape"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "7eFsDxAMAfku",
        "outputId": "9b98e526-d15b-4553-dcf6-823b181cf369"
      },
      "execution_count": 76,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "(28498, 82)"
            ]
          },
          "metadata": {},
          "execution_count": 76
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "# W matrix = feature set & weights\n",
        "nmf = NMF(n_components=5, init=None)\n",
        "W = nmf.fit_transform(V).round(3)\n",
        "print(type(W))\n",
        "W.shape"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "z9Msyk-BAfn2",
        "outputId": "a23cb015-efad-4a51-bc5b-b382f89c2cb7"
      },
      "execution_count": 77,
      "outputs": [
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "<class 'numpy.ndarray'>\n"
          ]
        },
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "(28498, 5)"
            ]
          },
          "metadata": {},
          "execution_count": 77
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "# H matrix = hidden variables & coefficients \n",
        "H = pd.DataFrame(nmf.components_.round(2),\n",
        "                 index = ['c1', \n",
        "                          'c2',\n",
        "                          'c3',\n",
        "                          'c4', \n",
        "                          'c5'],\n",
        "                 columns = tf_vectorizer.get_feature_names_out())\n",
        "print('H.shape:',  H.shape)\n",
        "H.T.style.background_gradient(cmap='Blues')\n"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 1000
        },
        "id": "gudfZf5HAfqd",
        "outputId": "fe6a71d7-c8b5-4a93-e387-6b3da5d472f5"
      },
      "execution_count": 78,
      "outputs": [
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "H.shape: (5, 82)\n"
          ]
        },
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "<pandas.io.formats.style.Styler at 0x7f9aa39bcb90>"
            ],
            "text/html": [
              "<style type=\"text/css\">\n",
              "#T_ac0ca_row0_col0, #T_ac0ca_row0_col1, #T_ac0ca_row0_col3, #T_ac0ca_row1_col0, #T_ac0ca_row1_col3, #T_ac0ca_row2_col0, #T_ac0ca_row3_col0, #T_ac0ca_row3_col3, #T_ac0ca_row4_col0, #T_ac0ca_row4_col1, #T_ac0ca_row4_col2, #T_ac0ca_row4_col3, #T_ac0ca_row5_col2, #T_ac0ca_row6_col3, #T_ac0ca_row7_col0, #T_ac0ca_row7_col1, #T_ac0ca_row7_col3, #T_ac0ca_row8_col0, #T_ac0ca_row8_col1, #T_ac0ca_row8_col2, #T_ac0ca_row8_col4, #T_ac0ca_row9_col0, #T_ac0ca_row9_col1, #T_ac0ca_row9_col2, #T_ac0ca_row9_col3, #T_ac0ca_row10_col2, #T_ac0ca_row10_col3, #T_ac0ca_row11_col0, #T_ac0ca_row11_col1, #T_ac0ca_row11_col3, #T_ac0ca_row12_col0, #T_ac0ca_row12_col3, #T_ac0ca_row13_col1, #T_ac0ca_row14_col0, #T_ac0ca_row14_col1, #T_ac0ca_row14_col2, #T_ac0ca_row15_col2, #T_ac0ca_row16_col0, #T_ac0ca_row16_col1, #T_ac0ca_row16_col2, #T_ac0ca_row17_col0, #T_ac0ca_row17_col1, #T_ac0ca_row17_col2, #T_ac0ca_row17_col3, #T_ac0ca_row18_col1, #T_ac0ca_row18_col2, #T_ac0ca_row18_col3, #T_ac0ca_row18_col4, #T_ac0ca_row20_col0, #T_ac0ca_row21_col0, #T_ac0ca_row21_col1, #T_ac0ca_row21_col2, #T_ac0ca_row21_col3, #T_ac0ca_row22_col0, #T_ac0ca_row22_col3, #T_ac0ca_row23_col0, #T_ac0ca_row23_col1, #T_ac0ca_row23_col3, #T_ac0ca_row23_col4, #T_ac0ca_row24_col1, #T_ac0ca_row24_col2, #T_ac0ca_row24_col3, #T_ac0ca_row24_col4, #T_ac0ca_row25_col0, #T_ac0ca_row25_col1, #T_ac0ca_row25_col2, #T_ac0ca_row26_col2, #T_ac0ca_row27_col0, #T_ac0ca_row27_col1, #T_ac0ca_row27_col2, #T_ac0ca_row27_col3, #T_ac0ca_row28_col0, #T_ac0ca_row28_col1, #T_ac0ca_row28_col3, #T_ac0ca_row29_col0, #T_ac0ca_row29_col1, #T_ac0ca_row29_col2, #T_ac0ca_row30_col0, #T_ac0ca_row30_col1, #T_ac0ca_row31_col0, #T_ac0ca_row31_col1, #T_ac0ca_row31_col3, #T_ac0ca_row32_col0, #T_ac0ca_row32_col1, #T_ac0ca_row32_col2, #T_ac0ca_row33_col0, #T_ac0ca_row33_col2, #T_ac0ca_row34_col0, #T_ac0ca_row34_col1, #T_ac0ca_row35_col0, #T_ac0ca_row36_col0, #T_ac0ca_row36_col1, #T_ac0ca_row36_col3, #T_ac0ca_row37_col0, #T_ac0ca_row37_col1, #T_ac0ca_row37_col3, #T_ac0ca_row38_col1, #T_ac0ca_row39_col0, #T_ac0ca_row39_col1, #T_ac0ca_row39_col3, #T_ac0ca_row40_col0, #T_ac0ca_row40_col1, #T_ac0ca_row40_col3, #T_ac0ca_row40_col4, #T_ac0ca_row41_col0, #T_ac0ca_row41_col1, #T_ac0ca_row41_col2, #T_ac0ca_row41_col3, #T_ac0ca_row42_col0, #T_ac0ca_row42_col1, #T_ac0ca_row42_col3, #T_ac0ca_row43_col0, #T_ac0ca_row43_col1, #T_ac0ca_row43_col3, #T_ac0ca_row44_col0, #T_ac0ca_row44_col1, #T_ac0ca_row44_col2, #T_ac0ca_row45_col0, #T_ac0ca_row46_col0, #T_ac0ca_row46_col1, #T_ac0ca_row46_col2, #T_ac0ca_row47_col0, #T_ac0ca_row48_col0, #T_ac0ca_row48_col1, #T_ac0ca_row49_col0, #T_ac0ca_row49_col1, #T_ac0ca_row49_col2, #T_ac0ca_row49_col3, #T_ac0ca_row50_col1, #T_ac0ca_row50_col2, #T_ac0ca_row50_col3, #T_ac0ca_row51_col0, #T_ac0ca_row51_col1, #T_ac0ca_row52_col0, #T_ac0ca_row52_col1, #T_ac0ca_row52_col2, #T_ac0ca_row53_col0, #T_ac0ca_row53_col3, #T_ac0ca_row54_col0, #T_ac0ca_row54_col1, #T_ac0ca_row55_col3, #T_ac0ca_row56_col1, #T_ac0ca_row57_col0, #T_ac0ca_row57_col1, #T_ac0ca_row58_col0, #T_ac0ca_row58_col1, #T_ac0ca_row58_col2, #T_ac0ca_row58_col3, #T_ac0ca_row59_col0, #T_ac0ca_row59_col1, #T_ac0ca_row59_col3, #T_ac0ca_row60_col0, #T_ac0ca_row60_col2, #T_ac0ca_row60_col3, #T_ac0ca_row61_col0, #T_ac0ca_row61_col1, #T_ac0ca_row61_col3, #T_ac0ca_row62_col0, #T_ac0ca_row63_col0, #T_ac0ca_row63_col2, #T_ac0ca_row63_col3, #T_ac0ca_row64_col0, #T_ac0ca_row64_col1, #T_ac0ca_row64_col3, #T_ac0ca_row65_col1, #T_ac0ca_row65_col3, #T_ac0ca_row66_col0, #T_ac0ca_row66_col2, #T_ac0ca_row67_col0, #T_ac0ca_row67_col1, #T_ac0ca_row67_col2, #T_ac0ca_row67_col3, #T_ac0ca_row68_col0, #T_ac0ca_row68_col1, #T_ac0ca_row68_col3, #T_ac0ca_row69_col0, #T_ac0ca_row69_col1, #T_ac0ca_row69_col2, #T_ac0ca_row70_col0, #T_ac0ca_row70_col1, #T_ac0ca_row70_col3, #T_ac0ca_row71_col0, #T_ac0ca_row71_col1, #T_ac0ca_row72_col0, #T_ac0ca_row72_col1, #T_ac0ca_row72_col2, #T_ac0ca_row73_col0, #T_ac0ca_row73_col1, #T_ac0ca_row73_col3, #T_ac0ca_row74_col0, #T_ac0ca_row74_col1, #T_ac0ca_row74_col3, #T_ac0ca_row75_col0, #T_ac0ca_row75_col2, #T_ac0ca_row75_col3, #T_ac0ca_row75_col4, #T_ac0ca_row76_col0, #T_ac0ca_row76_col2, #T_ac0ca_row76_col3, #T_ac0ca_row77_col0, #T_ac0ca_row77_col2, #T_ac0ca_row77_col3, #T_ac0ca_row78_col0, #T_ac0ca_row78_col3, #T_ac0ca_row79_col0, #T_ac0ca_row79_col1, #T_ac0ca_row79_col2, #T_ac0ca_row79_col3, #T_ac0ca_row80_col0, #T_ac0ca_row80_col1, #T_ac0ca_row80_col2, #T_ac0ca_row81_col3 {\n",
              "  background-color: #f7fbff;\n",
              "  color: #000000;\n",
              "}\n",
              "#T_ac0ca_row0_col2 {\n",
              "  background-color: #e3eef9;\n",
              "  color: #000000;\n",
              "}\n",
              "#T_ac0ca_row0_col4, #T_ac0ca_row5_col3, #T_ac0ca_row71_col4 {\n",
              "  background-color: #e0ecf8;\n",
              "  color: #000000;\n",
              "}\n",
              "#T_ac0ca_row1_col1, #T_ac0ca_row2_col1, #T_ac0ca_row2_col3, #T_ac0ca_row3_col1, #T_ac0ca_row5_col1, #T_ac0ca_row10_col0, #T_ac0ca_row10_col1, #T_ac0ca_row12_col1, #T_ac0ca_row13_col0, #T_ac0ca_row13_col3, #T_ac0ca_row14_col3, #T_ac0ca_row15_col0, #T_ac0ca_row19_col0, #T_ac0ca_row19_col1, #T_ac0ca_row20_col3, #T_ac0ca_row26_col0, #T_ac0ca_row26_col1, #T_ac0ca_row28_col2, #T_ac0ca_row29_col3, #T_ac0ca_row30_col2, #T_ac0ca_row35_col1, #T_ac0ca_row35_col3, #T_ac0ca_row37_col2, #T_ac0ca_row38_col0, #T_ac0ca_row38_col2, #T_ac0ca_row38_col3, #T_ac0ca_row39_col2, #T_ac0ca_row45_col1, #T_ac0ca_row45_col3, #T_ac0ca_row46_col3, #T_ac0ca_row47_col1, #T_ac0ca_row47_col2, #T_ac0ca_row48_col3, #T_ac0ca_row51_col2, #T_ac0ca_row53_col1, #T_ac0ca_row53_col2, #T_ac0ca_row62_col1, #T_ac0ca_row64_col2, #T_ac0ca_row78_col1, #T_ac0ca_row81_col0 {\n",
              "  background-color: #f6faff;\n",
              "  color: #000000;\n",
              "}\n",
              "#T_ac0ca_row1_col2, #T_ac0ca_row5_col0, #T_ac0ca_row22_col2, #T_ac0ca_row30_col3, #T_ac0ca_row35_col2, #T_ac0ca_row54_col3, #T_ac0ca_row60_col1, #T_ac0ca_row62_col2, #T_ac0ca_row74_col2, #T_ac0ca_row76_col1 {\n",
              "  background-color: #f4f9fe;\n",
              "  color: #000000;\n",
              "}\n",
              "#T_ac0ca_row1_col4, #T_ac0ca_row28_col4 {\n",
              "  background-color: #c8dcf0;\n",
              "  color: #000000;\n",
              "}\n",
              "#T_ac0ca_row2_col2, #T_ac0ca_row6_col1, #T_ac0ca_row34_col3, #T_ac0ca_row51_col3, #T_ac0ca_row56_col2, #T_ac0ca_row57_col2, #T_ac0ca_row65_col0, #T_ac0ca_row78_col2 {\n",
              "  background-color: #f2f8fd;\n",
              "  color: #000000;\n",
              "}\n",
              "#T_ac0ca_row2_col4, #T_ac0ca_row15_col4, #T_ac0ca_row32_col4, #T_ac0ca_row51_col4, #T_ac0ca_row80_col4 {\n",
              "  background-color: #d3e4f3;\n",
              "  color: #000000;\n",
              "}\n",
              "#T_ac0ca_row3_col2, #T_ac0ca_row13_col2, #T_ac0ca_row19_col2, #T_ac0ca_row20_col1, #T_ac0ca_row22_col1, #T_ac0ca_row26_col3, #T_ac0ca_row31_col2, #T_ac0ca_row32_col3, #T_ac0ca_row33_col1, #T_ac0ca_row36_col2, #T_ac0ca_row45_col2, #T_ac0ca_row55_col0, #T_ac0ca_row55_col1, #T_ac0ca_row56_col0, #T_ac0ca_row61_col2, #T_ac0ca_row69_col3, #T_ac0ca_row70_col2, #T_ac0ca_row71_col2, #T_ac0ca_row71_col3, #T_ac0ca_row73_col2, #T_ac0ca_row77_col1, #T_ac0ca_row81_col2 {\n",
              "  background-color: #f5fafe;\n",
              "  color: #000000;\n",
              "}\n",
              "#T_ac0ca_row3_col4, #T_ac0ca_row56_col4 {\n",
              "  background-color: #ccdff1;\n",
              "  color: #000000;\n",
              "}\n",
              "#T_ac0ca_row4_col4, #T_ac0ca_row70_col4 {\n",
              "  background-color: #b3d3e8;\n",
              "  color: #000000;\n",
              "}\n",
              "#T_ac0ca_row5_col4, #T_ac0ca_row68_col4 {\n",
              "  background-color: #c1d9ed;\n",
              "  color: #000000;\n",
              "}\n",
              "#T_ac0ca_row6_col0, #T_ac0ca_row15_col3, #T_ac0ca_row20_col2, #T_ac0ca_row47_col3, #T_ac0ca_row56_col3, #T_ac0ca_row62_col3 {\n",
              "  background-color: #f3f8fe;\n",
              "  color: #000000;\n",
              "}\n",
              "#T_ac0ca_row6_col2, #T_ac0ca_row68_col2 {\n",
              "  background-color: #e7f1fa;\n",
              "  color: #000000;\n",
              "}\n",
              "#T_ac0ca_row6_col4, #T_ac0ca_row34_col4, #T_ac0ca_row74_col4 {\n",
              "  background-color: #d2e3f3;\n",
              "  color: #000000;\n",
              "}\n",
              "#T_ac0ca_row7_col2, #T_ac0ca_row33_col3, #T_ac0ca_row34_col2, #T_ac0ca_row44_col3 {\n",
              "  background-color: #eef5fc;\n",
              "  color: #000000;\n",
              "}\n",
              "#T_ac0ca_row7_col4 {\n",
              "  background-color: #dbe9f6;\n",
              "  color: #000000;\n",
              "}\n",
              "#T_ac0ca_row8_col3, #T_ac0ca_row17_col4, #T_ac0ca_row18_col0, #T_ac0ca_row23_col2, #T_ac0ca_row75_col1 {\n",
              "  background-color: #08306b;\n",
              "  color: #f1f1f1;\n",
              "}\n",
              "#T_ac0ca_row9_col4 {\n",
              "  background-color: #d0e1f2;\n",
              "  color: #000000;\n",
              "}\n",
              "#T_ac0ca_row10_col4, #T_ac0ca_row13_col4, #T_ac0ca_row47_col4 {\n",
              "  background-color: #c6dbef;\n",
              "  color: #000000;\n",
              "}\n",
              "#T_ac0ca_row11_col2, #T_ac0ca_row22_col4, #T_ac0ca_row62_col4 {\n",
              "  background-color: #dfebf7;\n",
              "  color: #000000;\n",
              "}\n",
              "#T_ac0ca_row11_col4, #T_ac0ca_row59_col4 {\n",
              "  background-color: #f0f6fd;\n",
              "  color: #000000;\n",
              "}\n",
              "#T_ac0ca_row12_col2, #T_ac0ca_row52_col3 {\n",
              "  background-color: #e9f2fa;\n",
              "  color: #000000;\n",
              "}\n",
              "#T_ac0ca_row12_col4 {\n",
              "  background-color: #e4eff9;\n",
              "  color: #000000;\n",
              "}\n",
              "#T_ac0ca_row14_col4, #T_ac0ca_row48_col4, #T_ac0ca_row69_col4 {\n",
              "  background-color: #dceaf6;\n",
              "  color: #000000;\n",
              "}\n",
              "#T_ac0ca_row15_col1, #T_ac0ca_row19_col3, #T_ac0ca_row42_col2, #T_ac0ca_row48_col2, #T_ac0ca_row50_col0, #T_ac0ca_row54_col2, #T_ac0ca_row57_col3, #T_ac0ca_row66_col1, #T_ac0ca_row81_col1 {\n",
              "  background-color: #f5f9fe;\n",
              "  color: #000000;\n",
              "}\n",
              "#T_ac0ca_row16_col3 {\n",
              "  background-color: #ebf3fb;\n",
              "  color: #000000;\n",
              "}\n",
              "#T_ac0ca_row16_col4 {\n",
              "  background-color: #e1edf8;\n",
              "  color: #000000;\n",
              "}\n",
              "#T_ac0ca_row19_col4 {\n",
              "  background-color: #a4cce3;\n",
              "  color: #000000;\n",
              "}\n",
              "#T_ac0ca_row20_col4, #T_ac0ca_row37_col4 {\n",
              "  background-color: #d6e5f4;\n",
              "  color: #000000;\n",
              "}\n",
              "#T_ac0ca_row21_col4, #T_ac0ca_row39_col4, #T_ac0ca_row49_col4 {\n",
              "  background-color: #cde0f1;\n",
              "  color: #000000;\n",
              "}\n",
              "#T_ac0ca_row24_col0 {\n",
              "  background-color: #1460a8;\n",
              "  color: #f1f1f1;\n",
              "}\n",
              "#T_ac0ca_row25_col3, #T_ac0ca_row80_col3 {\n",
              "  background-color: #f2f7fd;\n",
              "  color: #000000;\n",
              "}\n",
              "#T_ac0ca_row25_col4 {\n",
              "  background-color: #bad6eb;\n",
              "  color: #000000;\n",
              "}\n",
              "#T_ac0ca_row26_col4, #T_ac0ca_row61_col4 {\n",
              "  background-color: #d9e8f5;\n",
              "  color: #000000;\n",
              "}\n",
              "#T_ac0ca_row27_col4 {\n",
              "  background-color: #65aad4;\n",
              "  color: #f1f1f1;\n",
              "}\n",
              "#T_ac0ca_row29_col4, #T_ac0ca_row44_col4, #T_ac0ca_row46_col4, #T_ac0ca_row60_col4, #T_ac0ca_row73_col4, #T_ac0ca_row77_col4 {\n",
              "  background-color: #d7e6f5;\n",
              "  color: #000000;\n",
              "}\n",
              "#T_ac0ca_row30_col4 {\n",
              "  background-color: #cee0f2;\n",
              "  color: #000000;\n",
              "}\n",
              "#T_ac0ca_row31_col4 {\n",
              "  background-color: #d5e5f4;\n",
              "  color: #000000;\n",
              "}\n",
              "#T_ac0ca_row33_col4 {\n",
              "  background-color: #c3daee;\n",
              "  color: #000000;\n",
              "}\n",
              "#T_ac0ca_row35_col4, #T_ac0ca_row45_col4, #T_ac0ca_row65_col4 {\n",
              "  background-color: #d1e2f3;\n",
              "  color: #000000;\n",
              "}\n",
              "#T_ac0ca_row36_col4 {\n",
              "  background-color: #caddf0;\n",
              "  color: #000000;\n",
              "}\n",
              "#T_ac0ca_row38_col4 {\n",
              "  background-color: #c7dbef;\n",
              "  color: #000000;\n",
              "}\n",
              "#T_ac0ca_row40_col2 {\n",
              "  background-color: #3e8ec4;\n",
              "  color: #f1f1f1;\n",
              "}\n",
              "#T_ac0ca_row41_col4 {\n",
              "  background-color: #4594c7;\n",
              "  color: #f1f1f1;\n",
              "}\n",
              "#T_ac0ca_row42_col4, #T_ac0ca_row81_col4 {\n",
              "  background-color: #ddeaf7;\n",
              "  color: #000000;\n",
              "}\n",
              "#T_ac0ca_row43_col2 {\n",
              "  background-color: #eff6fc;\n",
              "  color: #000000;\n",
              "}\n",
              "#T_ac0ca_row43_col4 {\n",
              "  background-color: #e5eff9;\n",
              "  color: #000000;\n",
              "}\n",
              "#T_ac0ca_row50_col4 {\n",
              "  background-color: #083d7f;\n",
              "  color: #f1f1f1;\n",
              "}\n",
              "#T_ac0ca_row52_col4, #T_ac0ca_row63_col4, #T_ac0ca_row72_col4 {\n",
              "  background-color: #e3eef8;\n",
              "  color: #000000;\n",
              "}\n",
              "#T_ac0ca_row53_col4 {\n",
              "  background-color: #bfd8ed;\n",
              "  color: #000000;\n",
              "}\n",
              "#T_ac0ca_row54_col4 {\n",
              "  background-color: #7ab6d9;\n",
              "  color: #000000;\n",
              "}\n",
              "#T_ac0ca_row55_col2 {\n",
              "  background-color: #f1f7fd;\n",
              "  color: #000000;\n",
              "}\n",
              "#T_ac0ca_row55_col4 {\n",
              "  background-color: #e7f0fa;\n",
              "  color: #000000;\n",
              "}\n",
              "#T_ac0ca_row57_col4 {\n",
              "  background-color: #8abfdd;\n",
              "  color: #000000;\n",
              "}\n",
              "#T_ac0ca_row58_col4 {\n",
              "  background-color: #125da6;\n",
              "  color: #f1f1f1;\n",
              "}\n",
              "#T_ac0ca_row59_col2 {\n",
              "  background-color: #66abd4;\n",
              "  color: #f1f1f1;\n",
              "}\n",
              "#T_ac0ca_row63_col1, #T_ac0ca_row66_col3 {\n",
              "  background-color: #edf4fc;\n",
              "  color: #000000;\n",
              "}\n",
              "#T_ac0ca_row64_col4 {\n",
              "  background-color: #d9e7f5;\n",
              "  color: #000000;\n",
              "}\n",
              "#T_ac0ca_row65_col2 {\n",
              "  background-color: #e2edf8;\n",
              "  color: #000000;\n",
              "}\n",
              "#T_ac0ca_row66_col4, #T_ac0ca_row72_col3 {\n",
              "  background-color: #e8f1fa;\n",
              "  color: #000000;\n",
              "}\n",
              "#T_ac0ca_row67_col4 {\n",
              "  background-color: #6dafd7;\n",
              "  color: #f1f1f1;\n",
              "}\n",
              "#T_ac0ca_row76_col4 {\n",
              "  background-color: #92c4de;\n",
              "  color: #000000;\n",
              "}\n",
              "#T_ac0ca_row78_col4 {\n",
              "  background-color: #b7d4ea;\n",
              "  color: #000000;\n",
              "}\n",
              "#T_ac0ca_row79_col4 {\n",
              "  background-color: #5ca4d0;\n",
              "  color: #f1f1f1;\n",
              "}\n",
              "</style>\n",
              "<table id=\"T_ac0ca_\" class=\"dataframe\">\n",
              "  <thead>\n",
              "    <tr>\n",
              "      <th class=\"blank level0\" >&nbsp;</th>\n",
              "      <th class=\"col_heading level0 col0\" >c1</th>\n",
              "      <th class=\"col_heading level0 col1\" >c2</th>\n",
              "      <th class=\"col_heading level0 col2\" >c3</th>\n",
              "      <th class=\"col_heading level0 col3\" >c4</th>\n",
              "      <th class=\"col_heading level0 col4\" >c5</th>\n",
              "    </tr>\n",
              "  </thead>\n",
              "  <tbody>\n",
              "    <tr>\n",
              "      <th id=\"T_ac0ca_level0_row0\" class=\"row_heading level0 row0\" >aids</th>\n",
              "      <td id=\"T_ac0ca_row0_col0\" class=\"data row0 col0\" >0.000000</td>\n",
              "      <td id=\"T_ac0ca_row0_col1\" class=\"data row0 col1\" >0.000000</td>\n",
              "      <td id=\"T_ac0ca_row0_col2\" class=\"data row0 col2\" >0.380000</td>\n",
              "      <td id=\"T_ac0ca_row0_col3\" class=\"data row0 col3\" >0.000000</td>\n",
              "      <td id=\"T_ac0ca_row0_col4\" class=\"data row0 col4\" >0.180000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th id=\"T_ac0ca_level0_row1\" class=\"row_heading level0 row1\" >also</th>\n",
              "      <td id=\"T_ac0ca_row1_col0\" class=\"data row1 col0\" >0.000000</td>\n",
              "      <td id=\"T_ac0ca_row1_col1\" class=\"data row1 col1\" >0.030000</td>\n",
              "      <td id=\"T_ac0ca_row1_col2\" class=\"data row1 col2\" >0.070000</td>\n",
              "      <td id=\"T_ac0ca_row1_col3\" class=\"data row1 col3\" >0.000000</td>\n",
              "      <td id=\"T_ac0ca_row1_col4\" class=\"data row1 col4\" >0.370000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th id=\"T_ac0ca_level0_row2\" class=\"row_heading level0 row2\" >anyone</th>\n",
              "      <td id=\"T_ac0ca_row2_col0\" class=\"data row2 col0\" >0.000000</td>\n",
              "      <td id=\"T_ac0ca_row2_col1\" class=\"data row2 col1\" >0.020000</td>\n",
              "      <td id=\"T_ac0ca_row2_col2\" class=\"data row2 col2\" >0.090000</td>\n",
              "      <td id=\"T_ac0ca_row2_col3\" class=\"data row2 col3\" >0.020000</td>\n",
              "      <td id=\"T_ac0ca_row2_col4\" class=\"data row2 col4\" >0.280000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th id=\"T_ac0ca_level0_row3\" class=\"row_heading level0 row3\" >around</th>\n",
              "      <td id=\"T_ac0ca_row3_col0\" class=\"data row3 col0\" >0.000000</td>\n",
              "      <td id=\"T_ac0ca_row3_col1\" class=\"data row3 col1\" >0.020000</td>\n",
              "      <td id=\"T_ac0ca_row3_col2\" class=\"data row3 col2\" >0.030000</td>\n",
              "      <td id=\"T_ac0ca_row3_col3\" class=\"data row3 col3\" >0.000000</td>\n",
              "      <td id=\"T_ac0ca_row3_col4\" class=\"data row3 col4\" >0.340000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th id=\"T_ac0ca_level0_row4\" class=\"row_heading level0 row4\" >back</th>\n",
              "      <td id=\"T_ac0ca_row4_col0\" class=\"data row4 col0\" >0.000000</td>\n",
              "      <td id=\"T_ac0ca_row4_col1\" class=\"data row4 col1\" >0.000000</td>\n",
              "      <td id=\"T_ac0ca_row4_col2\" class=\"data row4 col2\" >0.000000</td>\n",
              "      <td id=\"T_ac0ca_row4_col3\" class=\"data row4 col3\" >0.000000</td>\n",
              "      <td id=\"T_ac0ca_row4_col4\" class=\"data row4 col4\" >0.480000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th id=\"T_ac0ca_level0_row5\" class=\"row_heading level0 row5\" >biden</th>\n",
              "      <td id=\"T_ac0ca_row5_col0\" class=\"data row5 col0\" >0.090000</td>\n",
              "      <td id=\"T_ac0ca_row5_col1\" class=\"data row5 col1\" >0.030000</td>\n",
              "      <td id=\"T_ac0ca_row5_col2\" class=\"data row5 col2\" >0.000000</td>\n",
              "      <td id=\"T_ac0ca_row5_col3\" class=\"data row5 col3\" >0.510000</td>\n",
              "      <td id=\"T_ac0ca_row5_col4\" class=\"data row5 col4\" >0.410000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th id=\"T_ac0ca_level0_row6\" class=\"row_heading level0 row6\" >cdc</th>\n",
              "      <td id=\"T_ac0ca_row6_col0\" class=\"data row6 col0\" >0.100000</td>\n",
              "      <td id=\"T_ac0ca_row6_col1\" class=\"data row6 col1\" >0.120000</td>\n",
              "      <td id=\"T_ac0ca_row6_col2\" class=\"data row6 col2\" >0.310000</td>\n",
              "      <td id=\"T_ac0ca_row6_col3\" class=\"data row6 col3\" >0.010000</td>\n",
              "      <td id=\"T_ac0ca_row6_col4\" class=\"data row6 col4\" >0.290000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th id=\"T_ac0ca_level0_row7\" class=\"row_heading level0 row7\" >children</th>\n",
              "      <td id=\"T_ac0ca_row7_col0\" class=\"data row7 col0\" >0.010000</td>\n",
              "      <td id=\"T_ac0ca_row7_col1\" class=\"data row7 col1\" >0.000000</td>\n",
              "      <td id=\"T_ac0ca_row7_col2\" class=\"data row7 col2\" >0.180000</td>\n",
              "      <td id=\"T_ac0ca_row7_col3\" class=\"data row7 col3\" >0.000000</td>\n",
              "      <td id=\"T_ac0ca_row7_col4\" class=\"data row7 col4\" >0.220000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th id=\"T_ac0ca_level0_row8\" class=\"row_heading level0 row8\" >cnn</th>\n",
              "      <td id=\"T_ac0ca_row8_col0\" class=\"data row8 col0\" >0.000000</td>\n",
              "      <td id=\"T_ac0ca_row8_col1\" class=\"data row8 col1\" >0.000000</td>\n",
              "      <td id=\"T_ac0ca_row8_col2\" class=\"data row8 col2\" >0.000000</td>\n",
              "      <td id=\"T_ac0ca_row8_col3\" class=\"data row8 col3\" >4.400000</td>\n",
              "      <td id=\"T_ac0ca_row8_col4\" class=\"data row8 col4\" >0.000000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th id=\"T_ac0ca_level0_row9\" class=\"row_heading level0 row9\" >come</th>\n",
              "      <td id=\"T_ac0ca_row9_col0\" class=\"data row9 col0\" >0.000000</td>\n",
              "      <td id=\"T_ac0ca_row9_col1\" class=\"data row9 col1\" >0.010000</td>\n",
              "      <td id=\"T_ac0ca_row9_col2\" class=\"data row9 col2\" >0.000000</td>\n",
              "      <td id=\"T_ac0ca_row9_col3\" class=\"data row9 col3\" >0.000000</td>\n",
              "      <td id=\"T_ac0ca_row9_col4\" class=\"data row9 col4\" >0.310000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th id=\"T_ac0ca_level0_row10\" class=\"row_heading level0 row10\" >coming</th>\n",
              "      <td id=\"T_ac0ca_row10_col0\" class=\"data row10 col0\" >0.020000</td>\n",
              "      <td id=\"T_ac0ca_row10_col1\" class=\"data row10 col1\" >0.020000</td>\n",
              "      <td id=\"T_ac0ca_row10_col2\" class=\"data row10 col2\" >0.000000</td>\n",
              "      <td id=\"T_ac0ca_row10_col3\" class=\"data row10 col3\" >0.000000</td>\n",
              "      <td id=\"T_ac0ca_row10_col4\" class=\"data row10 col4\" >0.390000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th id=\"T_ac0ca_level0_row11\" class=\"row_heading level0 row11\" >community</th>\n",
              "      <td id=\"T_ac0ca_row11_col0\" class=\"data row11 col0\" >0.000000</td>\n",
              "      <td id=\"T_ac0ca_row11_col1\" class=\"data row11 col1\" >0.000000</td>\n",
              "      <td id=\"T_ac0ca_row11_col2\" class=\"data row11 col2\" >0.470000</td>\n",
              "      <td id=\"T_ac0ca_row11_col3\" class=\"data row11 col3\" >0.010000</td>\n",
              "      <td id=\"T_ac0ca_row11_col4\" class=\"data row11 col4\" >0.060000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th id=\"T_ac0ca_level0_row12\" class=\"row_heading level0 row12\" >contact</th>\n",
              "      <td id=\"T_ac0ca_row12_col0\" class=\"data row12 col0\" >0.000000</td>\n",
              "      <td id=\"T_ac0ca_row12_col1\" class=\"data row12 col1\" >0.020000</td>\n",
              "      <td id=\"T_ac0ca_row12_col2\" class=\"data row12 col2\" >0.270000</td>\n",
              "      <td id=\"T_ac0ca_row12_col3\" class=\"data row12 col3\" >0.000000</td>\n",
              "      <td id=\"T_ac0ca_row12_col4\" class=\"data row12 col4\" >0.150000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th id=\"T_ac0ca_level0_row13\" class=\"row_heading level0 row13\" >could</th>\n",
              "      <td id=\"T_ac0ca_row13_col0\" class=\"data row13 col0\" >0.020000</td>\n",
              "      <td id=\"T_ac0ca_row13_col1\" class=\"data row13 col1\" >0.010000</td>\n",
              "      <td id=\"T_ac0ca_row13_col2\" class=\"data row13 col2\" >0.030000</td>\n",
              "      <td id=\"T_ac0ca_row13_col3\" class=\"data row13 col3\" >0.020000</td>\n",
              "      <td id=\"T_ac0ca_row13_col4\" class=\"data row13 col4\" >0.390000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th id=\"T_ac0ca_level0_row14\" class=\"row_heading level0 row14\" >country</th>\n",
              "      <td id=\"T_ac0ca_row14_col0\" class=\"data row14 col0\" >0.010000</td>\n",
              "      <td id=\"T_ac0ca_row14_col1\" class=\"data row14 col1\" >0.000000</td>\n",
              "      <td id=\"T_ac0ca_row14_col2\" class=\"data row14 col2\" >0.010000</td>\n",
              "      <td id=\"T_ac0ca_row14_col3\" class=\"data row14 col3\" >0.030000</td>\n",
              "      <td id=\"T_ac0ca_row14_col4\" class=\"data row14 col4\" >0.210000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th id=\"T_ac0ca_level0_row15\" class=\"row_heading level0 row15\" >day</th>\n",
              "      <td id=\"T_ac0ca_row15_col0\" class=\"data row15 col0\" >0.020000</td>\n",
              "      <td id=\"T_ac0ca_row15_col1\" class=\"data row15 col1\" >0.070000</td>\n",
              "      <td id=\"T_ac0ca_row15_col2\" class=\"data row15 col2\" >0.000000</td>\n",
              "      <td id=\"T_ac0ca_row15_col3\" class=\"data row15 col3\" >0.090000</td>\n",
              "      <td id=\"T_ac0ca_row15_col4\" class=\"data row15 col4\" >0.280000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th id=\"T_ac0ca_level0_row16\" class=\"row_heading level0 row16\" >democrats</th>\n",
              "      <td id=\"T_ac0ca_row16_col0\" class=\"data row16 col0\" >0.000000</td>\n",
              "      <td id=\"T_ac0ca_row16_col1\" class=\"data row16 col1\" >0.000000</td>\n",
              "      <td id=\"T_ac0ca_row16_col2\" class=\"data row16 col2\" >0.000000</td>\n",
              "      <td id=\"T_ac0ca_row16_col3\" class=\"data row16 col3\" >0.260000</td>\n",
              "      <td id=\"T_ac0ca_row16_col4\" class=\"data row16 col4\" >0.170000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th id=\"T_ac0ca_level0_row17\" class=\"row_heading level0 row17\" >dont</th>\n",
              "      <td id=\"T_ac0ca_row17_col0\" class=\"data row17 col0\" >0.000000</td>\n",
              "      <td id=\"T_ac0ca_row17_col1\" class=\"data row17 col1\" >0.000000</td>\n",
              "      <td id=\"T_ac0ca_row17_col2\" class=\"data row17 col2\" >0.000000</td>\n",
              "      <td id=\"T_ac0ca_row17_col3\" class=\"data row17 col3\" >0.000000</td>\n",
              "      <td id=\"T_ac0ca_row17_col4\" class=\"data row17 col4\" >1.540000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th id=\"T_ac0ca_level0_row18\" class=\"row_heading level0 row18\" >emergency</th>\n",
              "      <td id=\"T_ac0ca_row18_col0\" class=\"data row18 col0\" >4.640000</td>\n",
              "      <td id=\"T_ac0ca_row18_col1\" class=\"data row18 col1\" >0.000000</td>\n",
              "      <td id=\"T_ac0ca_row18_col2\" class=\"data row18 col2\" >0.000000</td>\n",
              "      <td id=\"T_ac0ca_row18_col3\" class=\"data row18 col3\" >0.000000</td>\n",
              "      <td id=\"T_ac0ca_row18_col4\" class=\"data row18 col4\" >0.000000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th id=\"T_ac0ca_level0_row19\" class=\"row_heading level0 row19\" >even</th>\n",
              "      <td id=\"T_ac0ca_row19_col0\" class=\"data row19 col0\" >0.020000</td>\n",
              "      <td id=\"T_ac0ca_row19_col1\" class=\"data row19 col1\" >0.030000</td>\n",
              "      <td id=\"T_ac0ca_row19_col2\" class=\"data row19 col2\" >0.040000</td>\n",
              "      <td id=\"T_ac0ca_row19_col3\" class=\"data row19 col3\" >0.060000</td>\n",
              "      <td id=\"T_ac0ca_row19_col4\" class=\"data row19 col4\" >0.550000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th id=\"T_ac0ca_level0_row20\" class=\"row_heading level0 row20\" >everyone</th>\n",
              "      <td id=\"T_ac0ca_row20_col0\" class=\"data row20 col0\" >0.010000</td>\n",
              "      <td id=\"T_ac0ca_row20_col1\" class=\"data row20 col1\" >0.040000</td>\n",
              "      <td id=\"T_ac0ca_row20_col2\" class=\"data row20 col2\" >0.080000</td>\n",
              "      <td id=\"T_ac0ca_row20_col3\" class=\"data row20 col3\" >0.020000</td>\n",
              "      <td id=\"T_ac0ca_row20_col4\" class=\"data row20 col4\" >0.260000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th id=\"T_ac0ca_level0_row21\" class=\"row_heading level0 row21\" >fear</th>\n",
              "      <td id=\"T_ac0ca_row21_col0\" class=\"data row21 col0\" >0.010000</td>\n",
              "      <td id=\"T_ac0ca_row21_col1\" class=\"data row21 col1\" >0.010000</td>\n",
              "      <td id=\"T_ac0ca_row21_col2\" class=\"data row21 col2\" >0.000000</td>\n",
              "      <td id=\"T_ac0ca_row21_col3\" class=\"data row21 col3\" >0.000000</td>\n",
              "      <td id=\"T_ac0ca_row21_col4\" class=\"data row21 col4\" >0.330000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th id=\"T_ac0ca_level0_row22\" class=\"row_heading level0 row22\" >foxnews</th>\n",
              "      <td id=\"T_ac0ca_row22_col0\" class=\"data row22 col0\" >0.010000</td>\n",
              "      <td id=\"T_ac0ca_row22_col1\" class=\"data row22 col1\" >0.040000</td>\n",
              "      <td id=\"T_ac0ca_row22_col2\" class=\"data row22 col2\" >0.060000</td>\n",
              "      <td id=\"T_ac0ca_row22_col3\" class=\"data row22 col3\" >0.000000</td>\n",
              "      <td id=\"T_ac0ca_row22_col4\" class=\"data row22 col4\" >0.190000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th id=\"T_ac0ca_level0_row23\" class=\"row_heading level0 row23\" >gay</th>\n",
              "      <td id=\"T_ac0ca_row23_col0\" class=\"data row23 col0\" >0.000000</td>\n",
              "      <td id=\"T_ac0ca_row23_col1\" class=\"data row23 col1\" >0.000000</td>\n",
              "      <td id=\"T_ac0ca_row23_col2\" class=\"data row23 col2\" >3.810000</td>\n",
              "      <td id=\"T_ac0ca_row23_col3\" class=\"data row23 col3\" >0.000000</td>\n",
              "      <td id=\"T_ac0ca_row23_col4\" class=\"data row23 col4\" >0.000000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th id=\"T_ac0ca_level0_row24\" class=\"row_heading level0 row24\" >global</th>\n",
              "      <td id=\"T_ac0ca_row24_col0\" class=\"data row24 col0\" >3.780000</td>\n",
              "      <td id=\"T_ac0ca_row24_col1\" class=\"data row24 col1\" >0.000000</td>\n",
              "      <td id=\"T_ac0ca_row24_col2\" class=\"data row24 col2\" >0.000000</td>\n",
              "      <td id=\"T_ac0ca_row24_col3\" class=\"data row24 col3\" >0.000000</td>\n",
              "      <td id=\"T_ac0ca_row24_col4\" class=\"data row24 col4\" >0.000000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th id=\"T_ac0ca_level0_row25\" class=\"row_heading level0 row25\" >good</th>\n",
              "      <td id=\"T_ac0ca_row25_col0\" class=\"data row25 col0\" >0.000000</td>\n",
              "      <td id=\"T_ac0ca_row25_col1\" class=\"data row25 col1\" >0.010000</td>\n",
              "      <td id=\"T_ac0ca_row25_col2\" class=\"data row25 col2\" >0.000000</td>\n",
              "      <td id=\"T_ac0ca_row25_col3\" class=\"data row25 col3\" >0.130000</td>\n",
              "      <td id=\"T_ac0ca_row25_col4\" class=\"data row25 col4\" >0.440000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th id=\"T_ac0ca_level0_row26\" class=\"row_heading level0 row26\" >government</th>\n",
              "      <td id=\"T_ac0ca_row26_col0\" class=\"data row26 col0\" >0.020000</td>\n",
              "      <td id=\"T_ac0ca_row26_col1\" class=\"data row26 col1\" >0.020000</td>\n",
              "      <td id=\"T_ac0ca_row26_col2\" class=\"data row26 col2\" >0.000000</td>\n",
              "      <td id=\"T_ac0ca_row26_col3\" class=\"data row26 col3\" >0.050000</td>\n",
              "      <td id=\"T_ac0ca_row26_col4\" class=\"data row26 col4\" >0.230000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th id=\"T_ac0ca_level0_row27\" class=\"row_heading level0 row27\" >im</th>\n",
              "      <td id=\"T_ac0ca_row27_col0\" class=\"data row27 col0\" >0.000000</td>\n",
              "      <td id=\"T_ac0ca_row27_col1\" class=\"data row27 col1\" >0.010000</td>\n",
              "      <td id=\"T_ac0ca_row27_col2\" class=\"data row27 col2\" >0.000000</td>\n",
              "      <td id=\"T_ac0ca_row27_col3\" class=\"data row27 col3\" >0.000000</td>\n",
              "      <td id=\"T_ac0ca_row27_col4\" class=\"data row27 col4\" >0.800000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th id=\"T_ac0ca_level0_row28\" class=\"row_heading level0 row28\" >keep</th>\n",
              "      <td id=\"T_ac0ca_row28_col0\" class=\"data row28 col0\" >0.000000</td>\n",
              "      <td id=\"T_ac0ca_row28_col1\" class=\"data row28 col1\" >0.000000</td>\n",
              "      <td id=\"T_ac0ca_row28_col2\" class=\"data row28 col2\" >0.020000</td>\n",
              "      <td id=\"T_ac0ca_row28_col3\" class=\"data row28 col3\" >0.000000</td>\n",
              "      <td id=\"T_ac0ca_row28_col4\" class=\"data row28 col4\" >0.370000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th id=\"T_ac0ca_level0_row29\" class=\"row_heading level0 row29\" >last</th>\n",
              "      <td id=\"T_ac0ca_row29_col0\" class=\"data row29 col0\" >0.010000</td>\n",
              "      <td id=\"T_ac0ca_row29_col1\" class=\"data row29 col1\" >0.010000</td>\n",
              "      <td id=\"T_ac0ca_row29_col2\" class=\"data row29 col2\" >0.000000</td>\n",
              "      <td id=\"T_ac0ca_row29_col3\" class=\"data row29 col3\" >0.030000</td>\n",
              "      <td id=\"T_ac0ca_row29_col4\" class=\"data row29 col4\" >0.250000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th id=\"T_ac0ca_level0_row30\" class=\"row_heading level0 row30\" >let</th>\n",
              "      <td id=\"T_ac0ca_row30_col0\" class=\"data row30 col0\" >0.010000</td>\n",
              "      <td id=\"T_ac0ca_row30_col1\" class=\"data row30 col1\" >0.010000</td>\n",
              "      <td id=\"T_ac0ca_row30_col2\" class=\"data row30 col2\" >0.020000</td>\n",
              "      <td id=\"T_ac0ca_row30_col3\" class=\"data row30 col3\" >0.080000</td>\n",
              "      <td id=\"T_ac0ca_row30_col4\" class=\"data row30 col4\" >0.320000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th id=\"T_ac0ca_level0_row31\" class=\"row_heading level0 row31\" >lol</th>\n",
              "      <td id=\"T_ac0ca_row31_col0\" class=\"data row31 col0\" >0.000000</td>\n",
              "      <td id=\"T_ac0ca_row31_col1\" class=\"data row31 col1\" >0.000000</td>\n",
              "      <td id=\"T_ac0ca_row31_col2\" class=\"data row31 col2\" >0.030000</td>\n",
              "      <td id=\"T_ac0ca_row31_col3\" class=\"data row31 col3\" >0.000000</td>\n",
              "      <td id=\"T_ac0ca_row31_col4\" class=\"data row31 col4\" >0.270000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th id=\"T_ac0ca_level0_row32\" class=\"row_heading level0 row32\" >look</th>\n",
              "      <td id=\"T_ac0ca_row32_col0\" class=\"data row32 col0\" >0.000000</td>\n",
              "      <td id=\"T_ac0ca_row32_col1\" class=\"data row32 col1\" >0.010000</td>\n",
              "      <td id=\"T_ac0ca_row32_col2\" class=\"data row32 col2\" >0.010000</td>\n",
              "      <td id=\"T_ac0ca_row32_col3\" class=\"data row32 col3\" >0.050000</td>\n",
              "      <td id=\"T_ac0ca_row32_col4\" class=\"data row32 col4\" >0.280000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th id=\"T_ac0ca_level0_row33\" class=\"row_heading level0 row33\" >make</th>\n",
              "      <td id=\"T_ac0ca_row33_col0\" class=\"data row33 col0\" >0.000000</td>\n",
              "      <td id=\"T_ac0ca_row33_col1\" class=\"data row33 col1\" >0.040000</td>\n",
              "      <td id=\"T_ac0ca_row33_col2\" class=\"data row33 col2\" >0.010000</td>\n",
              "      <td id=\"T_ac0ca_row33_col3\" class=\"data row33 col3\" >0.220000</td>\n",
              "      <td id=\"T_ac0ca_row33_col4\" class=\"data row33 col4\" >0.400000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th id=\"T_ac0ca_level0_row34\" class=\"row_heading level0 row34\" >man</th>\n",
              "      <td id=\"T_ac0ca_row34_col0\" class=\"data row34 col0\" >0.000000</td>\n",
              "      <td id=\"T_ac0ca_row34_col1\" class=\"data row34 col1\" >0.000000</td>\n",
              "      <td id=\"T_ac0ca_row34_col2\" class=\"data row34 col2\" >0.190000</td>\n",
              "      <td id=\"T_ac0ca_row34_col3\" class=\"data row34 col3\" >0.120000</td>\n",
              "      <td id=\"T_ac0ca_row34_col4\" class=\"data row34 col4\" >0.290000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th id=\"T_ac0ca_level0_row35\" class=\"row_heading level0 row35\" >many</th>\n",
              "      <td id=\"T_ac0ca_row35_col0\" class=\"data row35 col0\" >0.010000</td>\n",
              "      <td id=\"T_ac0ca_row35_col1\" class=\"data row35 col1\" >0.030000</td>\n",
              "      <td id=\"T_ac0ca_row35_col2\" class=\"data row35 col2\" >0.070000</td>\n",
              "      <td id=\"T_ac0ca_row35_col3\" class=\"data row35 col3\" >0.030000</td>\n",
              "      <td id=\"T_ac0ca_row35_col4\" class=\"data row35 col4\" >0.300000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th id=\"T_ac0ca_level0_row36\" class=\"row_heading level0 row36\" >mask</th>\n",
              "      <td id=\"T_ac0ca_row36_col0\" class=\"data row36 col0\" >0.000000</td>\n",
              "      <td id=\"T_ac0ca_row36_col1\" class=\"data row36 col1\" >0.000000</td>\n",
              "      <td id=\"T_ac0ca_row36_col2\" class=\"data row36 col2\" >0.030000</td>\n",
              "      <td id=\"T_ac0ca_row36_col3\" class=\"data row36 col3\" >0.000000</td>\n",
              "      <td id=\"T_ac0ca_row36_col4\" class=\"data row36 col4\" >0.360000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th id=\"T_ac0ca_level0_row37\" class=\"row_heading level0 row37\" >masks</th>\n",
              "      <td id=\"T_ac0ca_row37_col0\" class=\"data row37 col0\" >0.000000</td>\n",
              "      <td id=\"T_ac0ca_row37_col1\" class=\"data row37 col1\" >0.000000</td>\n",
              "      <td id=\"T_ac0ca_row37_col2\" class=\"data row37 col2\" >0.020000</td>\n",
              "      <td id=\"T_ac0ca_row37_col3\" class=\"data row37 col3\" >0.000000</td>\n",
              "      <td id=\"T_ac0ca_row37_col4\" class=\"data row37 col4\" >0.260000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th id=\"T_ac0ca_level0_row38\" class=\"row_heading level0 row38\" >may</th>\n",
              "      <td id=\"T_ac0ca_row38_col0\" class=\"data row38 col0\" >0.020000</td>\n",
              "      <td id=\"T_ac0ca_row38_col1\" class=\"data row38 col1\" >0.010000</td>\n",
              "      <td id=\"T_ac0ca_row38_col2\" class=\"data row38 col2\" >0.020000</td>\n",
              "      <td id=\"T_ac0ca_row38_col3\" class=\"data row38 col3\" >0.020000</td>\n",
              "      <td id=\"T_ac0ca_row38_col4\" class=\"data row38 col4\" >0.380000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th id=\"T_ac0ca_level0_row39\" class=\"row_heading level0 row39\" >maybe</th>\n",
              "      <td id=\"T_ac0ca_row39_col0\" class=\"data row39 col0\" >0.000000</td>\n",
              "      <td id=\"T_ac0ca_row39_col1\" class=\"data row39 col1\" >0.010000</td>\n",
              "      <td id=\"T_ac0ca_row39_col2\" class=\"data row39 col2\" >0.020000</td>\n",
              "      <td id=\"T_ac0ca_row39_col3\" class=\"data row39 col3\" >0.000000</td>\n",
              "      <td id=\"T_ac0ca_row39_col4\" class=\"data row39 col4\" >0.330000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th id=\"T_ac0ca_level0_row40\" class=\"row_heading level0 row40\" >men</th>\n",
              "      <td id=\"T_ac0ca_row40_col0\" class=\"data row40 col0\" >0.000000</td>\n",
              "      <td id=\"T_ac0ca_row40_col1\" class=\"data row40 col1\" >0.000000</td>\n",
              "      <td id=\"T_ac0ca_row40_col2\" class=\"data row40 col2\" >2.440000</td>\n",
              "      <td id=\"T_ac0ca_row40_col3\" class=\"data row40 col3\" >0.000000</td>\n",
              "      <td id=\"T_ac0ca_row40_col4\" class=\"data row40 col4\" >0.000000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th id=\"T_ac0ca_level0_row41\" class=\"row_heading level0 row41\" >moneypox</th>\n",
              "      <td id=\"T_ac0ca_row41_col0\" class=\"data row41 col0\" >0.000000</td>\n",
              "      <td id=\"T_ac0ca_row41_col1\" class=\"data row41 col1\" >0.000000</td>\n",
              "      <td id=\"T_ac0ca_row41_col2\" class=\"data row41 col2\" >0.000000</td>\n",
              "      <td id=\"T_ac0ca_row41_col3\" class=\"data row41 col3\" >0.000000</td>\n",
              "      <td id=\"T_ac0ca_row41_col4\" class=\"data row41 col4\" >0.950000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th id=\"T_ac0ca_level0_row42\" class=\"row_heading level0 row42\" >monkeys</th>\n",
              "      <td id=\"T_ac0ca_row42_col0\" class=\"data row42 col0\" >0.000000</td>\n",
              "      <td id=\"T_ac0ca_row42_col1\" class=\"data row42 col1\" >0.010000</td>\n",
              "      <td id=\"T_ac0ca_row42_col2\" class=\"data row42 col2\" >0.050000</td>\n",
              "      <td id=\"T_ac0ca_row42_col3\" class=\"data row42 col3\" >0.000000</td>\n",
              "      <td id=\"T_ac0ca_row42_col4\" class=\"data row42 col4\" >0.200000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th id=\"T_ac0ca_level0_row43\" class=\"row_heading level0 row43\" >month</th>\n",
              "      <td id=\"T_ac0ca_row43_col0\" class=\"data row43 col0\" >0.000000</td>\n",
              "      <td id=\"T_ac0ca_row43_col1\" class=\"data row43 col1\" >0.000000</td>\n",
              "      <td id=\"T_ac0ca_row43_col2\" class=\"data row43 col2\" >0.150000</td>\n",
              "      <td id=\"T_ac0ca_row43_col3\" class=\"data row43 col3\" >0.000000</td>\n",
              "      <td id=\"T_ac0ca_row43_col4\" class=\"data row43 col4\" >0.140000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th id=\"T_ac0ca_level0_row44\" class=\"row_heading level0 row44\" >msnbc</th>\n",
              "      <td id=\"T_ac0ca_row44_col0\" class=\"data row44 col0\" >0.000000</td>\n",
              "      <td id=\"T_ac0ca_row44_col1\" class=\"data row44 col1\" >0.000000</td>\n",
              "      <td id=\"T_ac0ca_row44_col2\" class=\"data row44 col2\" >0.000000</td>\n",
              "      <td id=\"T_ac0ca_row44_col3\" class=\"data row44 col3\" >0.220000</td>\n",
              "      <td id=\"T_ac0ca_row44_col4\" class=\"data row44 col4\" >0.250000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th id=\"T_ac0ca_level0_row45\" class=\"row_heading level0 row45\" >much</th>\n",
              "      <td id=\"T_ac0ca_row45_col0\" class=\"data row45 col0\" >0.000000</td>\n",
              "      <td id=\"T_ac0ca_row45_col1\" class=\"data row45 col1\" >0.020000</td>\n",
              "      <td id=\"T_ac0ca_row45_col2\" class=\"data row45 col2\" >0.040000</td>\n",
              "      <td id=\"T_ac0ca_row45_col3\" class=\"data row45 col3\" >0.030000</td>\n",
              "      <td id=\"T_ac0ca_row45_col4\" class=\"data row45 col4\" >0.300000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th id=\"T_ac0ca_level0_row46\" class=\"row_heading level0 row46\" >name</th>\n",
              "      <td id=\"T_ac0ca_row46_col0\" class=\"data row46 col0\" >0.000000</td>\n",
              "      <td id=\"T_ac0ca_row46_col1\" class=\"data row46 col1\" >0.000000</td>\n",
              "      <td id=\"T_ac0ca_row46_col2\" class=\"data row46 col2\" >0.010000</td>\n",
              "      <td id=\"T_ac0ca_row46_col3\" class=\"data row46 col3\" >0.020000</td>\n",
              "      <td id=\"T_ac0ca_row46_col4\" class=\"data row46 col4\" >0.250000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th id=\"T_ac0ca_level0_row47\" class=\"row_heading level0 row47\" >never</th>\n",
              "      <td id=\"T_ac0ca_row47_col0\" class=\"data row47 col0\" >0.000000</td>\n",
              "      <td id=\"T_ac0ca_row47_col1\" class=\"data row47 col1\" >0.020000</td>\n",
              "      <td id=\"T_ac0ca_row47_col2\" class=\"data row47 col2\" >0.020000</td>\n",
              "      <td id=\"T_ac0ca_row47_col3\" class=\"data row47 col3\" >0.090000</td>\n",
              "      <td id=\"T_ac0ca_row47_col4\" class=\"data row47 col4\" >0.390000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th id=\"T_ac0ca_level0_row48\" class=\"row_heading level0 row48\" >nothing</th>\n",
              "      <td id=\"T_ac0ca_row48_col0\" class=\"data row48 col0\" >0.010000</td>\n",
              "      <td id=\"T_ac0ca_row48_col1\" class=\"data row48 col1\" >0.000000</td>\n",
              "      <td id=\"T_ac0ca_row48_col2\" class=\"data row48 col2\" >0.050000</td>\n",
              "      <td id=\"T_ac0ca_row48_col3\" class=\"data row48 col3\" >0.020000</td>\n",
              "      <td id=\"T_ac0ca_row48_col4\" class=\"data row48 col4\" >0.210000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th id=\"T_ac0ca_level0_row49\" class=\"row_heading level0 row49\" >oh</th>\n",
              "      <td id=\"T_ac0ca_row49_col0\" class=\"data row49 col0\" >0.010000</td>\n",
              "      <td id=\"T_ac0ca_row49_col1\" class=\"data row49 col1\" >0.000000</td>\n",
              "      <td id=\"T_ac0ca_row49_col2\" class=\"data row49 col2\" >0.010000</td>\n",
              "      <td id=\"T_ac0ca_row49_col3\" class=\"data row49 col3\" >0.010000</td>\n",
              "      <td id=\"T_ac0ca_row49_col4\" class=\"data row49 col4\" >0.330000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th id=\"T_ac0ca_level0_row50\" class=\"row_heading level0 row50\" >pandemic</th>\n",
              "      <td id=\"T_ac0ca_row50_col0\" class=\"data row50 col0\" >0.070000</td>\n",
              "      <td id=\"T_ac0ca_row50_col1\" class=\"data row50 col1\" >0.000000</td>\n",
              "      <td id=\"T_ac0ca_row50_col2\" class=\"data row50 col2\" >0.000000</td>\n",
              "      <td id=\"T_ac0ca_row50_col3\" class=\"data row50 col3\" >0.000000</td>\n",
              "      <td id=\"T_ac0ca_row50_col4\" class=\"data row50 col4\" >1.460000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th id=\"T_ac0ca_level0_row51\" class=\"row_heading level0 row51\" >please</th>\n",
              "      <td id=\"T_ac0ca_row51_col0\" class=\"data row51 col0\" >0.010000</td>\n",
              "      <td id=\"T_ac0ca_row51_col1\" class=\"data row51 col1\" >0.010000</td>\n",
              "      <td id=\"T_ac0ca_row51_col2\" class=\"data row51 col2\" >0.020000</td>\n",
              "      <td id=\"T_ac0ca_row51_col3\" class=\"data row51 col3\" >0.110000</td>\n",
              "      <td id=\"T_ac0ca_row51_col4\" class=\"data row51 col4\" >0.280000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th id=\"T_ac0ca_level0_row52\" class=\"row_heading level0 row52\" >real</th>\n",
              "      <td id=\"T_ac0ca_row52_col0\" class=\"data row52 col0\" >0.000000</td>\n",
              "      <td id=\"T_ac0ca_row52_col1\" class=\"data row52 col1\" >0.000000</td>\n",
              "      <td id=\"T_ac0ca_row52_col2\" class=\"data row52 col2\" >0.010000</td>\n",
              "      <td id=\"T_ac0ca_row52_col3\" class=\"data row52 col3\" >0.310000</td>\n",
              "      <td id=\"T_ac0ca_row52_col4\" class=\"data row52 col4\" >0.160000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th id=\"T_ac0ca_level0_row53\" class=\"row_heading level0 row53\" >really</th>\n",
              "      <td id=\"T_ac0ca_row53_col0\" class=\"data row53 col0\" >0.000000</td>\n",
              "      <td id=\"T_ac0ca_row53_col1\" class=\"data row53 col1\" >0.020000</td>\n",
              "      <td id=\"T_ac0ca_row53_col2\" class=\"data row53 col2\" >0.020000</td>\n",
              "      <td id=\"T_ac0ca_row53_col3\" class=\"data row53 col3\" >0.000000</td>\n",
              "      <td id=\"T_ac0ca_row53_col4\" class=\"data row53 col4\" >0.420000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th id=\"T_ac0ca_level0_row54\" class=\"row_heading level0 row54\" >right</th>\n",
              "      <td id=\"T_ac0ca_row54_col0\" class=\"data row54 col0\" >0.010000</td>\n",
              "      <td id=\"T_ac0ca_row54_col1\" class=\"data row54 col1\" >0.000000</td>\n",
              "      <td id=\"T_ac0ca_row54_col2\" class=\"data row54 col2\" >0.050000</td>\n",
              "      <td id=\"T_ac0ca_row54_col3\" class=\"data row54 col3\" >0.070000</td>\n",
              "      <td id=\"T_ac0ca_row54_col4\" class=\"data row54 col4\" >0.710000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th id=\"T_ac0ca_level0_row55\" class=\"row_heading level0 row55\" >risk</th>\n",
              "      <td id=\"T_ac0ca_row55_col0\" class=\"data row55 col0\" >0.050000</td>\n",
              "      <td id=\"T_ac0ca_row55_col1\" class=\"data row55 col1\" >0.050000</td>\n",
              "      <td id=\"T_ac0ca_row55_col2\" class=\"data row55 col2\" >0.120000</td>\n",
              "      <td id=\"T_ac0ca_row55_col3\" class=\"data row55 col3\" >0.000000</td>\n",
              "      <td id=\"T_ac0ca_row55_col4\" class=\"data row55 col4\" >0.130000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th id=\"T_ac0ca_level0_row56\" class=\"row_heading level0 row56\" >said</th>\n",
              "      <td id=\"T_ac0ca_row56_col0\" class=\"data row56 col0\" >0.050000</td>\n",
              "      <td id=\"T_ac0ca_row56_col1\" class=\"data row56 col1\" >0.010000</td>\n",
              "      <td id=\"T_ac0ca_row56_col2\" class=\"data row56 col2\" >0.090000</td>\n",
              "      <td id=\"T_ac0ca_row56_col3\" class=\"data row56 col3\" >0.100000</td>\n",
              "      <td id=\"T_ac0ca_row56_col4\" class=\"data row56 col4\" >0.340000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th id=\"T_ac0ca_level0_row57\" class=\"row_heading level0 row57\" >say</th>\n",
              "      <td id=\"T_ac0ca_row57_col0\" class=\"data row57 col0\" >0.000000</td>\n",
              "      <td id=\"T_ac0ca_row57_col1\" class=\"data row57 col1\" >0.000000</td>\n",
              "      <td id=\"T_ac0ca_row57_col2\" class=\"data row57 col2\" >0.090000</td>\n",
              "      <td id=\"T_ac0ca_row57_col3\" class=\"data row57 col3\" >0.060000</td>\n",
              "      <td id=\"T_ac0ca_row57_col4\" class=\"data row57 col4\" >0.650000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th id=\"T_ac0ca_level0_row58\" class=\"row_heading level0 row58\" >see</th>\n",
              "      <td id=\"T_ac0ca_row58_col0\" class=\"data row58 col0\" >0.000000</td>\n",
              "      <td id=\"T_ac0ca_row58_col1\" class=\"data row58 col1\" >0.000000</td>\n",
              "      <td id=\"T_ac0ca_row58_col2\" class=\"data row58 col2\" >0.000000</td>\n",
              "      <td id=\"T_ac0ca_row58_col3\" class=\"data row58 col3\" >0.000000</td>\n",
              "      <td id=\"T_ac0ca_row58_col4\" class=\"data row58 col4\" >1.270000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th id=\"T_ac0ca_level0_row59\" class=\"row_heading level0 row59\" >sex</th>\n",
              "      <td id=\"T_ac0ca_row59_col0\" class=\"data row59 col0\" >0.000000</td>\n",
              "      <td id=\"T_ac0ca_row59_col1\" class=\"data row59 col1\" >0.000000</td>\n",
              "      <td id=\"T_ac0ca_row59_col2\" class=\"data row59 col2\" >1.960000</td>\n",
              "      <td id=\"T_ac0ca_row59_col3\" class=\"data row59 col3\" >0.000000</td>\n",
              "      <td id=\"T_ac0ca_row59_col4\" class=\"data row59 col4\" >0.060000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th id=\"T_ac0ca_level0_row60\" class=\"row_heading level0 row60\" >shingles</th>\n",
              "      <td id=\"T_ac0ca_row60_col0\" class=\"data row60 col0\" >0.000000</td>\n",
              "      <td id=\"T_ac0ca_row60_col1\" class=\"data row60 col1\" >0.090000</td>\n",
              "      <td id=\"T_ac0ca_row60_col2\" class=\"data row60 col2\" >0.000000</td>\n",
              "      <td id=\"T_ac0ca_row60_col3\" class=\"data row60 col3\" >0.000000</td>\n",
              "      <td id=\"T_ac0ca_row60_col4\" class=\"data row60 col4\" >0.250000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th id=\"T_ac0ca_level0_row61\" class=\"row_heading level0 row61\" >shit</th>\n",
              "      <td id=\"T_ac0ca_row61_col0\" class=\"data row61 col0\" >0.000000</td>\n",
              "      <td id=\"T_ac0ca_row61_col1\" class=\"data row61 col1\" >0.010000</td>\n",
              "      <td id=\"T_ac0ca_row61_col2\" class=\"data row61 col2\" >0.030000</td>\n",
              "      <td id=\"T_ac0ca_row61_col3\" class=\"data row61 col3\" >0.000000</td>\n",
              "      <td id=\"T_ac0ca_row61_col4\" class=\"data row61 col4\" >0.230000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th id=\"T_ac0ca_level0_row62\" class=\"row_heading level0 row62\" >since</th>\n",
              "      <td id=\"T_ac0ca_row62_col0\" class=\"data row62 col0\" >0.010000</td>\n",
              "      <td id=\"T_ac0ca_row62_col1\" class=\"data row62 col1\" >0.020000</td>\n",
              "      <td id=\"T_ac0ca_row62_col2\" class=\"data row62 col2\" >0.070000</td>\n",
              "      <td id=\"T_ac0ca_row62_col3\" class=\"data row62 col3\" >0.100000</td>\n",
              "      <td id=\"T_ac0ca_row62_col4\" class=\"data row62 col4\" >0.190000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th id=\"T_ac0ca_level0_row63\" class=\"row_heading level0 row63\" >smallpox</th>\n",
              "      <td id=\"T_ac0ca_row63_col0\" class=\"data row63 col0\" >0.000000</td>\n",
              "      <td id=\"T_ac0ca_row63_col1\" class=\"data row63 col1\" >0.270000</td>\n",
              "      <td id=\"T_ac0ca_row63_col2\" class=\"data row63 col2\" >0.000000</td>\n",
              "      <td id=\"T_ac0ca_row63_col3\" class=\"data row63 col3\" >0.000000</td>\n",
              "      <td id=\"T_ac0ca_row63_col4\" class=\"data row63 col4\" >0.160000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th id=\"T_ac0ca_level0_row64\" class=\"row_heading level0 row64\" >something</th>\n",
              "      <td id=\"T_ac0ca_row64_col0\" class=\"data row64 col0\" >0.000000</td>\n",
              "      <td id=\"T_ac0ca_row64_col1\" class=\"data row64 col1\" >0.010000</td>\n",
              "      <td id=\"T_ac0ca_row64_col2\" class=\"data row64 col2\" >0.020000</td>\n",
              "      <td id=\"T_ac0ca_row64_col3\" class=\"data row64 col3\" >0.010000</td>\n",
              "      <td id=\"T_ac0ca_row64_col4\" class=\"data row64 col4\" >0.240000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th id=\"T_ac0ca_level0_row65\" class=\"row_heading level0 row65\" >spreading</th>\n",
              "      <td id=\"T_ac0ca_row65_col0\" class=\"data row65 col0\" >0.120000</td>\n",
              "      <td id=\"T_ac0ca_row65_col1\" class=\"data row65 col1\" >0.000000</td>\n",
              "      <td id=\"T_ac0ca_row65_col2\" class=\"data row65 col2\" >0.410000</td>\n",
              "      <td id=\"T_ac0ca_row65_col3\" class=\"data row65 col3\" >0.000000</td>\n",
              "      <td id=\"T_ac0ca_row65_col4\" class=\"data row65 col4\" >0.300000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th id=\"T_ac0ca_level0_row66\" class=\"row_heading level0 row66\" >states</th>\n",
              "      <td id=\"T_ac0ca_row66_col0\" class=\"data row66 col0\" >0.010000</td>\n",
              "      <td id=\"T_ac0ca_row66_col1\" class=\"data row66 col1\" >0.060000</td>\n",
              "      <td id=\"T_ac0ca_row66_col2\" class=\"data row66 col2\" >0.010000</td>\n",
              "      <td id=\"T_ac0ca_row66_col3\" class=\"data row66 col3\" >0.230000</td>\n",
              "      <td id=\"T_ac0ca_row66_col4\" class=\"data row66 col4\" >0.120000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th id=\"T_ac0ca_level0_row67\" class=\"row_heading level0 row67\" >still</th>\n",
              "      <td id=\"T_ac0ca_row67_col0\" class=\"data row67 col0\" >0.000000</td>\n",
              "      <td id=\"T_ac0ca_row67_col1\" class=\"data row67 col1\" >0.000000</td>\n",
              "      <td id=\"T_ac0ca_row67_col2\" class=\"data row67 col2\" >0.000000</td>\n",
              "      <td id=\"T_ac0ca_row67_col3\" class=\"data row67 col3\" >0.000000</td>\n",
              "      <td id=\"T_ac0ca_row67_col4\" class=\"data row67 col4\" >0.760000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th id=\"T_ac0ca_level0_row68\" class=\"row_heading level0 row68\" >stop</th>\n",
              "      <td id=\"T_ac0ca_row68_col0\" class=\"data row68 col0\" >0.010000</td>\n",
              "      <td id=\"T_ac0ca_row68_col1\" class=\"data row68 col1\" >0.000000</td>\n",
              "      <td id=\"T_ac0ca_row68_col2\" class=\"data row68 col2\" >0.300000</td>\n",
              "      <td id=\"T_ac0ca_row68_col3\" class=\"data row68 col3\" >0.010000</td>\n",
              "      <td id=\"T_ac0ca_row68_col4\" class=\"data row68 col4\" >0.410000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th id=\"T_ac0ca_level0_row69\" class=\"row_heading level0 row69\" >thehill</th>\n",
              "      <td id=\"T_ac0ca_row69_col0\" class=\"data row69 col0\" >0.000000</td>\n",
              "      <td id=\"T_ac0ca_row69_col1\" class=\"data row69 col1\" >0.000000</td>\n",
              "      <td id=\"T_ac0ca_row69_col2\" class=\"data row69 col2\" >0.000000</td>\n",
              "      <td id=\"T_ac0ca_row69_col3\" class=\"data row69 col3\" >0.040000</td>\n",
              "      <td id=\"T_ac0ca_row69_col4\" class=\"data row69 col4\" >0.210000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th id=\"T_ac0ca_level0_row70\" class=\"row_heading level0 row70\" >thing</th>\n",
              "      <td id=\"T_ac0ca_row70_col0\" class=\"data row70 col0\" >0.000000</td>\n",
              "      <td id=\"T_ac0ca_row70_col1\" class=\"data row70 col1\" >0.010000</td>\n",
              "      <td id=\"T_ac0ca_row70_col2\" class=\"data row70 col2\" >0.040000</td>\n",
              "      <td id=\"T_ac0ca_row70_col3\" class=\"data row70 col3\" >0.000000</td>\n",
              "      <td id=\"T_ac0ca_row70_col4\" class=\"data row70 col4\" >0.480000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th id=\"T_ac0ca_level0_row71\" class=\"row_heading level0 row71\" >thought</th>\n",
              "      <td id=\"T_ac0ca_row71_col0\" class=\"data row71 col0\" >0.000000</td>\n",
              "      <td id=\"T_ac0ca_row71_col1\" class=\"data row71 col1\" >0.010000</td>\n",
              "      <td id=\"T_ac0ca_row71_col2\" class=\"data row71 col2\" >0.030000</td>\n",
              "      <td id=\"T_ac0ca_row71_col3\" class=\"data row71 col3\" >0.050000</td>\n",
              "      <td id=\"T_ac0ca_row71_col4\" class=\"data row71 col4\" >0.180000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th id=\"T_ac0ca_level0_row72\" class=\"row_heading level0 row72\" >trump</th>\n",
              "      <td id=\"T_ac0ca_row72_col0\" class=\"data row72 col0\" >0.000000</td>\n",
              "      <td id=\"T_ac0ca_row72_col1\" class=\"data row72 col1\" >0.000000</td>\n",
              "      <td id=\"T_ac0ca_row72_col2\" class=\"data row72 col2\" >0.000000</td>\n",
              "      <td id=\"T_ac0ca_row72_col3\" class=\"data row72 col3\" >0.340000</td>\n",
              "      <td id=\"T_ac0ca_row72_col4\" class=\"data row72 col4\" >0.160000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th id=\"T_ac0ca_level0_row73\" class=\"row_heading level0 row73\" >trying</th>\n",
              "      <td id=\"T_ac0ca_row73_col0\" class=\"data row73 col0\" >0.000000</td>\n",
              "      <td id=\"T_ac0ca_row73_col1\" class=\"data row73 col1\" >0.000000</td>\n",
              "      <td id=\"T_ac0ca_row73_col2\" class=\"data row73 col2\" >0.030000</td>\n",
              "      <td id=\"T_ac0ca_row73_col3\" class=\"data row73 col3\" >0.000000</td>\n",
              "      <td id=\"T_ac0ca_row73_col4\" class=\"data row73 col4\" >0.250000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th id=\"T_ac0ca_level0_row74\" class=\"row_heading level0 row74\" >two</th>\n",
              "      <td id=\"T_ac0ca_row74_col0\" class=\"data row74 col0\" >0.000000</td>\n",
              "      <td id=\"T_ac0ca_row74_col1\" class=\"data row74 col1\" >0.010000</td>\n",
              "      <td id=\"T_ac0ca_row74_col2\" class=\"data row74 col2\" >0.070000</td>\n",
              "      <td id=\"T_ac0ca_row74_col3\" class=\"data row74 col3\" >0.000000</td>\n",
              "      <td id=\"T_ac0ca_row74_col4\" class=\"data row74 col4\" >0.290000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th id=\"T_ac0ca_level0_row75\" class=\"row_heading level0 row75\" >vaccine</th>\n",
              "      <td id=\"T_ac0ca_row75_col0\" class=\"data row75 col0\" >0.000000</td>\n",
              "      <td id=\"T_ac0ca_row75_col1\" class=\"data row75 col1\" >5.120000</td>\n",
              "      <td id=\"T_ac0ca_row75_col2\" class=\"data row75 col2\" >0.000000</td>\n",
              "      <td id=\"T_ac0ca_row75_col3\" class=\"data row75 col3\" >0.000000</td>\n",
              "      <td id=\"T_ac0ca_row75_col4\" class=\"data row75 col4\" >0.000000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th id=\"T_ac0ca_level0_row76\" class=\"row_heading level0 row76\" >vaccines</th>\n",
              "      <td id=\"T_ac0ca_row76_col0\" class=\"data row76 col0\" >0.000000</td>\n",
              "      <td id=\"T_ac0ca_row76_col1\" class=\"data row76 col1\" >0.090000</td>\n",
              "      <td id=\"T_ac0ca_row76_col2\" class=\"data row76 col2\" >0.000000</td>\n",
              "      <td id=\"T_ac0ca_row76_col3\" class=\"data row76 col3\" >0.000000</td>\n",
              "      <td id=\"T_ac0ca_row76_col4\" class=\"data row76 col4\" >0.620000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th id=\"T_ac0ca_level0_row77\" class=\"row_heading level0 row77\" >vax</th>\n",
              "      <td id=\"T_ac0ca_row77_col0\" class=\"data row77 col0\" >0.000000</td>\n",
              "      <td id=\"T_ac0ca_row77_col1\" class=\"data row77 col1\" >0.040000</td>\n",
              "      <td id=\"T_ac0ca_row77_col2\" class=\"data row77 col2\" >0.010000</td>\n",
              "      <td id=\"T_ac0ca_row77_col3\" class=\"data row77 col3\" >0.000000</td>\n",
              "      <td id=\"T_ac0ca_row77_col4\" class=\"data row77 col4\" >0.250000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th id=\"T_ac0ca_level0_row78\" class=\"row_heading level0 row78\" >way</th>\n",
              "      <td id=\"T_ac0ca_row78_col0\" class=\"data row78 col0\" >0.000000</td>\n",
              "      <td id=\"T_ac0ca_row78_col1\" class=\"data row78 col1\" >0.020000</td>\n",
              "      <td id=\"T_ac0ca_row78_col2\" class=\"data row78 col2\" >0.090000</td>\n",
              "      <td id=\"T_ac0ca_row78_col3\" class=\"data row78 col3\" >0.000000</td>\n",
              "      <td id=\"T_ac0ca_row78_col4\" class=\"data row78 col4\" >0.460000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th id=\"T_ac0ca_level0_row79\" class=\"row_heading level0 row79\" >well</th>\n",
              "      <td id=\"T_ac0ca_row79_col0\" class=\"data row79 col0\" >0.000000</td>\n",
              "      <td id=\"T_ac0ca_row79_col1\" class=\"data row79 col1\" >0.010000</td>\n",
              "      <td id=\"T_ac0ca_row79_col2\" class=\"data row79 col2\" >0.000000</td>\n",
              "      <td id=\"T_ac0ca_row79_col3\" class=\"data row79 col3\" >0.000000</td>\n",
              "      <td id=\"T_ac0ca_row79_col4\" class=\"data row79 col4\" >0.840000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th id=\"T_ac0ca_level0_row80\" class=\"row_heading level0 row80\" >years</th>\n",
              "      <td id=\"T_ac0ca_row80_col0\" class=\"data row80 col0\" >0.000000</td>\n",
              "      <td id=\"T_ac0ca_row80_col1\" class=\"data row80 col1\" >0.010000</td>\n",
              "      <td id=\"T_ac0ca_row80_col2\" class=\"data row80 col2\" >0.000000</td>\n",
              "      <td id=\"T_ac0ca_row80_col3\" class=\"data row80 col3\" >0.130000</td>\n",
              "      <td id=\"T_ac0ca_row80_col4\" class=\"data row80 col4\" >0.280000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th id=\"T_ac0ca_level0_row81\" class=\"row_heading level0 row81\" >yet</th>\n",
              "      <td id=\"T_ac0ca_row81_col0\" class=\"data row81 col0\" >0.020000</td>\n",
              "      <td id=\"T_ac0ca_row81_col1\" class=\"data row81 col1\" >0.070000</td>\n",
              "      <td id=\"T_ac0ca_row81_col2\" class=\"data row81 col2\" >0.030000</td>\n",
              "      <td id=\"T_ac0ca_row81_col3\" class=\"data row81 col3\" >0.000000</td>\n",
              "      <td id=\"T_ac0ca_row81_col4\" class=\"data row81 col4\" >0.200000</td>\n",
              "    </tr>\n",
              "  </tbody>\n",
              "</table>\n"
            ]
          },
          "metadata": {},
          "execution_count": 78
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "# function to display topics\n",
        "def display_topics(model, feature_names, no_top_words, topic_names=None):\n",
        "    for ix, topic in enumerate(model.components_):\n",
        "        if not topic_names or not topic_names[ix]:\n",
        "            print(\"\\nTopic \", ix)\n",
        "        else:\n",
        "            print(\"\\nTopic: '\",topic_names[ix],\"'\")\n",
        "        print(\", \".join([feature_names[i]\n",
        "                        for i in topic.argsort()[:-no_top_words - 1:-1]]))"
      ],
      "metadata": {
        "id": "Wmp4sbFTAfsj"
      },
      "execution_count": 79,
      "outputs": []
    },
    {
      "cell_type": "code",
      "source": [
        "topics = display_topics(nmf, tf_vectorizer.get_feature_names_out(), 20)"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "ePzsL5D4Afu2",
        "outputId": "3304a085-ba18-4be7-af03-315283362e53"
      },
      "execution_count": 80,
      "outputs": [
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "\n",
            "Topic  0\n",
            "emergency, global, spreading, cdc, biden, pandemic, said, risk, day, yet, even, may, government, could, coming, children, fear, foxnews, states, stop\n",
            "\n",
            "Topic  1\n",
            "vaccine, smallpox, cdc, vaccines, shingles, yet, day, states, risk, everyone, vax, foxnews, make, biden, also, many, even, government, really, since\n",
            "\n",
            "Topic  2\n",
            "gay, men, sex, community, spreading, aids, cdc, stop, contact, man, children, month, risk, say, way, said, anyone, everyone, since, many\n",
            "\n",
            "Topic  3\n",
            "cnn, biden, trump, real, democrats, states, make, msnbc, years, good, man, please, said, since, day, never, let, right, say, even\n",
            "\n",
            "Topic  4\n",
            "dont, pandemic, see, moneypox, well, im, still, right, say, vaccines, even, thing, back, way, good, really, stop, biden, make, could\n"
          ]
        }
      ]
    },
    {
      "cell_type": "markdown",
      "source": [
        "### 5.3  Word Cloud"
      ],
      "metadata": {
        "id": "KaMdZZd-f1yK"
      }
    },
    {
      "cell_type": "code",
      "source": [
        "# use doc_term for word cloud\n",
        "words = tf_doc_term_df\n",
        "words.head(2)"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 205
        },
        "id": "HysfNe3CShNp",
        "outputId": "c5731031-164d-4317-fb2e-0ac811706a5a"
      },
      "execution_count": 81,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "   aids  also  anyone  around  back  biden  cdc  children  cnn  come  ...  \\\n",
              "0   0.0   0.0     0.0     0.0   0.0    0.0  0.0       0.0  0.0   0.0  ...   \n",
              "1   0.0   0.0     0.0     0.0   0.0    0.0  0.0       0.0  0.0   0.0  ...   \n",
              "\n",
              "   trump  trying  two  vaccine  vaccines  vax  way  well  years  yet  \n",
              "0    0.0     0.0  0.0      0.0       0.0  0.0  0.0   0.0    0.0  0.0  \n",
              "1    0.0     0.0  0.0      0.0       0.0  0.0  0.0   0.0    0.0  0.0  \n",
              "\n",
              "[2 rows x 82 columns]"
            ],
            "text/html": [
              "\n",
              "  <div id=\"df-64eead78-d5a3-4a2f-809b-23113fff28ab\">\n",
              "    <div class=\"colab-df-container\">\n",
              "      <div>\n",
              "<style scoped>\n",
              "    .dataframe tbody tr th:only-of-type {\n",
              "        vertical-align: middle;\n",
              "    }\n",
              "\n",
              "    .dataframe tbody tr th {\n",
              "        vertical-align: top;\n",
              "    }\n",
              "\n",
              "    .dataframe thead th {\n",
              "        text-align: right;\n",
              "    }\n",
              "</style>\n",
              "<table border=\"1\" class=\"dataframe\">\n",
              "  <thead>\n",
              "    <tr style=\"text-align: right;\">\n",
              "      <th></th>\n",
              "      <th>aids</th>\n",
              "      <th>also</th>\n",
              "      <th>anyone</th>\n",
              "      <th>around</th>\n",
              "      <th>back</th>\n",
              "      <th>biden</th>\n",
              "      <th>cdc</th>\n",
              "      <th>children</th>\n",
              "      <th>cnn</th>\n",
              "      <th>come</th>\n",
              "      <th>...</th>\n",
              "      <th>trump</th>\n",
              "      <th>trying</th>\n",
              "      <th>two</th>\n",
              "      <th>vaccine</th>\n",
              "      <th>vaccines</th>\n",
              "      <th>vax</th>\n",
              "      <th>way</th>\n",
              "      <th>well</th>\n",
              "      <th>years</th>\n",
              "      <th>yet</th>\n",
              "    </tr>\n",
              "  </thead>\n",
              "  <tbody>\n",
              "    <tr>\n",
              "      <th>0</th>\n",
              "      <td>0.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>...</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0.0</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>1</th>\n",
              "      <td>0.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>...</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0.0</td>\n",
              "    </tr>\n",
              "  </tbody>\n",
              "</table>\n",
              "<p>2 rows × 82 columns</p>\n",
              "</div>\n",
              "      <button class=\"colab-df-convert\" onclick=\"convertToInteractive('df-64eead78-d5a3-4a2f-809b-23113fff28ab')\"\n",
              "              title=\"Convert this dataframe to an interactive table.\"\n",
              "              style=\"display:none;\">\n",
              "        \n",
              "  <svg xmlns=\"http://www.w3.org/2000/svg\" height=\"24px\"viewBox=\"0 0 24 24\"\n",
              "       width=\"24px\">\n",
              "    <path d=\"M0 0h24v24H0V0z\" fill=\"none\"/>\n",
              "    <path d=\"M18.56 5.44l.94 2.06.94-2.06 2.06-.94-2.06-.94-.94-2.06-.94 2.06-2.06.94zm-11 1L8.5 8.5l.94-2.06 2.06-.94-2.06-.94L8.5 2.5l-.94 2.06-2.06.94zm10 10l.94 2.06.94-2.06 2.06-.94-2.06-.94-.94-2.06-.94 2.06-2.06.94z\"/><path d=\"M17.41 7.96l-1.37-1.37c-.4-.4-.92-.59-1.43-.59-.52 0-1.04.2-1.43.59L10.3 9.45l-7.72 7.72c-.78.78-.78 2.05 0 2.83L4 21.41c.39.39.9.59 1.41.59.51 0 1.02-.2 1.41-.59l7.78-7.78 2.81-2.81c.8-.78.8-2.07 0-2.86zM5.41 20L4 18.59l7.72-7.72 1.47 1.35L5.41 20z\"/>\n",
              "  </svg>\n",
              "      </button>\n",
              "      \n",
              "  <style>\n",
              "    .colab-df-container {\n",
              "      display:flex;\n",
              "      flex-wrap:wrap;\n",
              "      gap: 12px;\n",
              "    }\n",
              "\n",
              "    .colab-df-convert {\n",
              "      background-color: #E8F0FE;\n",
              "      border: none;\n",
              "      border-radius: 50%;\n",
              "      cursor: pointer;\n",
              "      display: none;\n",
              "      fill: #1967D2;\n",
              "      height: 32px;\n",
              "      padding: 0 0 0 0;\n",
              "      width: 32px;\n",
              "    }\n",
              "\n",
              "    .colab-df-convert:hover {\n",
              "      background-color: #E2EBFA;\n",
              "      box-shadow: 0px 1px 2px rgba(60, 64, 67, 0.3), 0px 1px 3px 1px rgba(60, 64, 67, 0.15);\n",
              "      fill: #174EA6;\n",
              "    }\n",
              "\n",
              "    [theme=dark] .colab-df-convert {\n",
              "      background-color: #3B4455;\n",
              "      fill: #D2E3FC;\n",
              "    }\n",
              "\n",
              "    [theme=dark] .colab-df-convert:hover {\n",
              "      background-color: #434B5C;\n",
              "      box-shadow: 0px 1px 3px 1px rgba(0, 0, 0, 0.15);\n",
              "      filter: drop-shadow(0px 1px 2px rgba(0, 0, 0, 0.3));\n",
              "      fill: #FFFFFF;\n",
              "    }\n",
              "  </style>\n",
              "\n",
              "      <script>\n",
              "        const buttonEl =\n",
              "          document.querySelector('#df-64eead78-d5a3-4a2f-809b-23113fff28ab button.colab-df-convert');\n",
              "        buttonEl.style.display =\n",
              "          google.colab.kernel.accessAllowed ? 'block' : 'none';\n",
              "\n",
              "        async function convertToInteractive(key) {\n",
              "          const element = document.querySelector('#df-64eead78-d5a3-4a2f-809b-23113fff28ab');\n",
              "          const dataTable =\n",
              "            await google.colab.kernel.invokeFunction('convertToInteractive',\n",
              "                                                     [key], {});\n",
              "          if (!dataTable) return;\n",
              "\n",
              "          const docLinkHtml = 'Like what you see? Visit the ' +\n",
              "            '<a target=\"_blank\" href=https://colab.research.google.com/notebooks/data_table.ipynb>data table notebook</a>'\n",
              "            + ' to learn more about interactive tables.';\n",
              "          element.innerHTML = '';\n",
              "          dataTable['output_type'] = 'display_data';\n",
              "          await google.colab.output.renderOutput(dataTable, element);\n",
              "          const docLink = document.createElement('div');\n",
              "          docLink.innerHTML = docLinkHtml;\n",
              "          element.appendChild(docLink);\n",
              "        }\n",
              "      </script>\n",
              "    </div>\n",
              "  </div>\n",
              "  "
            ]
          },
          "metadata": {},
          "execution_count": 81
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "# https://www.geeksforgeeks.org/generating-word-cloud-python/\n",
        "\n",
        "comment_words = ''\n",
        "stopwords = set(stopwords)\n",
        " \n",
        "for val in words:\n",
        "    val = str(val)\n",
        "    tokens = val.split()     \n",
        "    for i in range(len(tokens)):\n",
        "        tokens[i] = tokens[i].lower()\n",
        "     \n",
        "    comment_words += \" \".join(tokens)+\" \"\n",
        " \n",
        "wordcloud = WordCloud(width = 800, height = 800,\n",
        "                background_color ='white',\n",
        "                stopwords = stopwords,\n",
        "                min_font_size = 10).generate(comment_words)\n",
        " \n",
        "# plot WordCloud                       \n",
        "plt.figure(figsize = (8, 8), facecolor = None)\n",
        "plt.imshow(wordcloud)\n",
        "plt.axis(\"off\")\n",
        "plt.tight_layout(pad = 0)\n",
        "plt.title('Monkeypox Tweets 2022')\n",
        "plt.savefig(\"monkeypox-tweets-word-cloud.jpeg\");"
      ],
      "metadata": {
        "id": "46ivW-XNg6sM",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 623
        },
        "outputId": "93552ab5-e96f-4b4f-a527-a52c3e336272"
      },
      "execution_count": 82,
      "outputs": [
        {
          "output_type": "display_data",
          "data": {
            "text/plain": [
              "<Figure size 576x576 with 1 Axes>"
            ],
            "image/png": "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\n"
          },
          "metadata": {
            "needs_background": "light"
          }
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "comment_words\n",
        "type(comment_words)\n",
        "\n",
        "words = np.array(comment_words)\n",
        "words = pd.Series(words)\n",
        "type(words)\n"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "FPTf6ov7eXpq",
        "outputId": "329eb65d-870f-485a-dc43-d18df20376d5"
      },
      "execution_count": 83,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "pandas.core.series.Series"
            ]
          },
          "metadata": {},
          "execution_count": 83
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "# word cloud list of words\n",
        "words.to_csv('/content/words_for_cloud.csv')\n"
      ],
      "metadata": {
        "id": "-x91_CFnT9_v"
      },
      "execution_count": 84,
      "outputs": []
    },
    {
      "cell_type": "code",
      "source": [
        "print(words)"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "1q7wd_4Lic_N",
        "outputId": "ed2aab7c-6aca-4e72-a9c4-64541f917c33"
      },
      "execution_count": 85,
      "outputs": [
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "0    aids also anyone around back biden cdc children cnn come coming community contact could country day democrats dont emergency even everyone fear foxnews gay global good government im keep last let lol look make man many mask masks may maybe men moneypox monkeys month msnbc much name never nothing oh pandemic please real really right risk said say see sex shingles shit since smallpox something spreading states still stop thehill thing thought trump trying two vaccine vaccines vax way well years yet \n",
            "dtype: object\n"
          ]
        }
      ]
    },
    {
      "cell_type": "markdown",
      "source": [
        "### 5.4  Case Counts by State (CDC data)"
      ],
      "metadata": {
        "id": "S5iwVAVOOUlQ"
      }
    },
    {
      "cell_type": "code",
      "source": [
        "# import state coordinates from https://developers.google.com/public-data/docs/canonical/states_csv \n",
        "# import  US case count by state from https://www.cdc.gov/poxvirus/monkeypox/response/2022/us-map.html\n",
        "\n",
        "w = ['USA-State-Coordinates', '2022-US-mpx-cases-by-state']\n",
        "\n",
        "state_coor = pd.DataFrame.from_records(gc.open(w[0]).sheet1.get_all_values())\n",
        "mpx_cases = pd.DataFrame.from_records(gc.open(w[1]).sheet1.get_all_values())"
      ],
      "metadata": {
        "id": "tVDmYyswr4QE"
      },
      "execution_count": 86,
      "outputs": []
    },
    {
      "cell_type": "code",
      "source": [
        "state_coor.head(2)"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 112
        },
        "id": "nOc3bXME8EGo",
        "outputId": "fd5da26c-79a2-4572-f819-00b78b796b92"
      },
      "execution_count": 87,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "       0          1           2        3\n",
              "0  state   latitude   longitude     name\n",
              "1     AL  32.318231  -86.902298  Alabama"
            ],
            "text/html": [
              "\n",
              "  <div id=\"df-ea7118a3-6aaf-42a4-aba3-b8e9e4ee48bb\">\n",
              "    <div class=\"colab-df-container\">\n",
              "      <div>\n",
              "<style scoped>\n",
              "    .dataframe tbody tr th:only-of-type {\n",
              "        vertical-align: middle;\n",
              "    }\n",
              "\n",
              "    .dataframe tbody tr th {\n",
              "        vertical-align: top;\n",
              "    }\n",
              "\n",
              "    .dataframe thead th {\n",
              "        text-align: right;\n",
              "    }\n",
              "</style>\n",
              "<table border=\"1\" class=\"dataframe\">\n",
              "  <thead>\n",
              "    <tr style=\"text-align: right;\">\n",
              "      <th></th>\n",
              "      <th>0</th>\n",
              "      <th>1</th>\n",
              "      <th>2</th>\n",
              "      <th>3</th>\n",
              "    </tr>\n",
              "  </thead>\n",
              "  <tbody>\n",
              "    <tr>\n",
              "      <th>0</th>\n",
              "      <td>state</td>\n",
              "      <td>latitude</td>\n",
              "      <td>longitude</td>\n",
              "      <td>name</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>1</th>\n",
              "      <td>AL</td>\n",
              "      <td>32.318231</td>\n",
              "      <td>-86.902298</td>\n",
              "      <td>Alabama</td>\n",
              "    </tr>\n",
              "  </tbody>\n",
              "</table>\n",
              "</div>\n",
              "      <button class=\"colab-df-convert\" onclick=\"convertToInteractive('df-ea7118a3-6aaf-42a4-aba3-b8e9e4ee48bb')\"\n",
              "              title=\"Convert this dataframe to an interactive table.\"\n",
              "              style=\"display:none;\">\n",
              "        \n",
              "  <svg xmlns=\"http://www.w3.org/2000/svg\" height=\"24px\"viewBox=\"0 0 24 24\"\n",
              "       width=\"24px\">\n",
              "    <path d=\"M0 0h24v24H0V0z\" fill=\"none\"/>\n",
              "    <path d=\"M18.56 5.44l.94 2.06.94-2.06 2.06-.94-2.06-.94-.94-2.06-.94 2.06-2.06.94zm-11 1L8.5 8.5l.94-2.06 2.06-.94-2.06-.94L8.5 2.5l-.94 2.06-2.06.94zm10 10l.94 2.06.94-2.06 2.06-.94-2.06-.94-.94-2.06-.94 2.06-2.06.94z\"/><path d=\"M17.41 7.96l-1.37-1.37c-.4-.4-.92-.59-1.43-.59-.52 0-1.04.2-1.43.59L10.3 9.45l-7.72 7.72c-.78.78-.78 2.05 0 2.83L4 21.41c.39.39.9.59 1.41.59.51 0 1.02-.2 1.41-.59l7.78-7.78 2.81-2.81c.8-.78.8-2.07 0-2.86zM5.41 20L4 18.59l7.72-7.72 1.47 1.35L5.41 20z\"/>\n",
              "  </svg>\n",
              "      </button>\n",
              "      \n",
              "  <style>\n",
              "    .colab-df-container {\n",
              "      display:flex;\n",
              "      flex-wrap:wrap;\n",
              "      gap: 12px;\n",
              "    }\n",
              "\n",
              "    .colab-df-convert {\n",
              "      background-color: #E8F0FE;\n",
              "      border: none;\n",
              "      border-radius: 50%;\n",
              "      cursor: pointer;\n",
              "      display: none;\n",
              "      fill: #1967D2;\n",
              "      height: 32px;\n",
              "      padding: 0 0 0 0;\n",
              "      width: 32px;\n",
              "    }\n",
              "\n",
              "    .colab-df-convert:hover {\n",
              "      background-color: #E2EBFA;\n",
              "      box-shadow: 0px 1px 2px rgba(60, 64, 67, 0.3), 0px 1px 3px 1px rgba(60, 64, 67, 0.15);\n",
              "      fill: #174EA6;\n",
              "    }\n",
              "\n",
              "    [theme=dark] .colab-df-convert {\n",
              "      background-color: #3B4455;\n",
              "      fill: #D2E3FC;\n",
              "    }\n",
              "\n",
              "    [theme=dark] .colab-df-convert:hover {\n",
              "      background-color: #434B5C;\n",
              "      box-shadow: 0px 1px 3px 1px rgba(0, 0, 0, 0.15);\n",
              "      filter: drop-shadow(0px 1px 2px rgba(0, 0, 0, 0.3));\n",
              "      fill: #FFFFFF;\n",
              "    }\n",
              "  </style>\n",
              "\n",
              "      <script>\n",
              "        const buttonEl =\n",
              "          document.querySelector('#df-ea7118a3-6aaf-42a4-aba3-b8e9e4ee48bb button.colab-df-convert');\n",
              "        buttonEl.style.display =\n",
              "          google.colab.kernel.accessAllowed ? 'block' : 'none';\n",
              "\n",
              "        async function convertToInteractive(key) {\n",
              "          const element = document.querySelector('#df-ea7118a3-6aaf-42a4-aba3-b8e9e4ee48bb');\n",
              "          const dataTable =\n",
              "            await google.colab.kernel.invokeFunction('convertToInteractive',\n",
              "                                                     [key], {});\n",
              "          if (!dataTable) return;\n",
              "\n",
              "          const docLinkHtml = 'Like what you see? Visit the ' +\n",
              "            '<a target=\"_blank\" href=https://colab.research.google.com/notebooks/data_table.ipynb>data table notebook</a>'\n",
              "            + ' to learn more about interactive tables.';\n",
              "          element.innerHTML = '';\n",
              "          dataTable['output_type'] = 'display_data';\n",
              "          await google.colab.output.renderOutput(dataTable, element);\n",
              "          const docLink = document.createElement('div');\n",
              "          docLink.innerHTML = docLinkHtml;\n",
              "          element.appendChild(docLink);\n",
              "        }\n",
              "      </script>\n",
              "    </div>\n",
              "  </div>\n",
              "  "
            ]
          },
          "metadata": {},
          "execution_count": 87
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "mpx_cases.head(2)"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 112
        },
        "id": "j4QFrp4W8GHe",
        "outputId": "ccd14bcd-7eb1-4995-88da-34f5b7d1d1e6"
      },
      "execution_count": 88,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "          0      1           2                                         3\n",
              "0  Location  Cases  Case Range                                      AsOf\n",
              "1   Alabama     53   51 to 100  Data as of August 26 2022 at 2:00 pm EDT"
            ],
            "text/html": [
              "\n",
              "  <div id=\"df-93b13b54-c2cf-48f7-ae0e-35a692cf79b3\">\n",
              "    <div class=\"colab-df-container\">\n",
              "      <div>\n",
              "<style scoped>\n",
              "    .dataframe tbody tr th:only-of-type {\n",
              "        vertical-align: middle;\n",
              "    }\n",
              "\n",
              "    .dataframe tbody tr th {\n",
              "        vertical-align: top;\n",
              "    }\n",
              "\n",
              "    .dataframe thead th {\n",
              "        text-align: right;\n",
              "    }\n",
              "</style>\n",
              "<table border=\"1\" class=\"dataframe\">\n",
              "  <thead>\n",
              "    <tr style=\"text-align: right;\">\n",
              "      <th></th>\n",
              "      <th>0</th>\n",
              "      <th>1</th>\n",
              "      <th>2</th>\n",
              "      <th>3</th>\n",
              "    </tr>\n",
              "  </thead>\n",
              "  <tbody>\n",
              "    <tr>\n",
              "      <th>0</th>\n",
              "      <td>Location</td>\n",
              "      <td>Cases</td>\n",
              "      <td>Case Range</td>\n",
              "      <td>AsOf</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>1</th>\n",
              "      <td>Alabama</td>\n",
              "      <td>53</td>\n",
              "      <td>51 to 100</td>\n",
              "      <td>Data as of August 26 2022 at 2:00 pm EDT</td>\n",
              "    </tr>\n",
              "  </tbody>\n",
              "</table>\n",
              "</div>\n",
              "      <button class=\"colab-df-convert\" onclick=\"convertToInteractive('df-93b13b54-c2cf-48f7-ae0e-35a692cf79b3')\"\n",
              "              title=\"Convert this dataframe to an interactive table.\"\n",
              "              style=\"display:none;\">\n",
              "        \n",
              "  <svg xmlns=\"http://www.w3.org/2000/svg\" height=\"24px\"viewBox=\"0 0 24 24\"\n",
              "       width=\"24px\">\n",
              "    <path d=\"M0 0h24v24H0V0z\" fill=\"none\"/>\n",
              "    <path d=\"M18.56 5.44l.94 2.06.94-2.06 2.06-.94-2.06-.94-.94-2.06-.94 2.06-2.06.94zm-11 1L8.5 8.5l.94-2.06 2.06-.94-2.06-.94L8.5 2.5l-.94 2.06-2.06.94zm10 10l.94 2.06.94-2.06 2.06-.94-2.06-.94-.94-2.06-.94 2.06-2.06.94z\"/><path d=\"M17.41 7.96l-1.37-1.37c-.4-.4-.92-.59-1.43-.59-.52 0-1.04.2-1.43.59L10.3 9.45l-7.72 7.72c-.78.78-.78 2.05 0 2.83L4 21.41c.39.39.9.59 1.41.59.51 0 1.02-.2 1.41-.59l7.78-7.78 2.81-2.81c.8-.78.8-2.07 0-2.86zM5.41 20L4 18.59l7.72-7.72 1.47 1.35L5.41 20z\"/>\n",
              "  </svg>\n",
              "      </button>\n",
              "      \n",
              "  <style>\n",
              "    .colab-df-container {\n",
              "      display:flex;\n",
              "      flex-wrap:wrap;\n",
              "      gap: 12px;\n",
              "    }\n",
              "\n",
              "    .colab-df-convert {\n",
              "      background-color: #E8F0FE;\n",
              "      border: none;\n",
              "      border-radius: 50%;\n",
              "      cursor: pointer;\n",
              "      display: none;\n",
              "      fill: #1967D2;\n",
              "      height: 32px;\n",
              "      padding: 0 0 0 0;\n",
              "      width: 32px;\n",
              "    }\n",
              "\n",
              "    .colab-df-convert:hover {\n",
              "      background-color: #E2EBFA;\n",
              "      box-shadow: 0px 1px 2px rgba(60, 64, 67, 0.3), 0px 1px 3px 1px rgba(60, 64, 67, 0.15);\n",
              "      fill: #174EA6;\n",
              "    }\n",
              "\n",
              "    [theme=dark] .colab-df-convert {\n",
              "      background-color: #3B4455;\n",
              "      fill: #D2E3FC;\n",
              "    }\n",
              "\n",
              "    [theme=dark] .colab-df-convert:hover {\n",
              "      background-color: #434B5C;\n",
              "      box-shadow: 0px 1px 3px 1px rgba(0, 0, 0, 0.15);\n",
              "      filter: drop-shadow(0px 1px 2px rgba(0, 0, 0, 0.3));\n",
              "      fill: #FFFFFF;\n",
              "    }\n",
              "  </style>\n",
              "\n",
              "      <script>\n",
              "        const buttonEl =\n",
              "          document.querySelector('#df-93b13b54-c2cf-48f7-ae0e-35a692cf79b3 button.colab-df-convert');\n",
              "        buttonEl.style.display =\n",
              "          google.colab.kernel.accessAllowed ? 'block' : 'none';\n",
              "\n",
              "        async function convertToInteractive(key) {\n",
              "          const element = document.querySelector('#df-93b13b54-c2cf-48f7-ae0e-35a692cf79b3');\n",
              "          const dataTable =\n",
              "            await google.colab.kernel.invokeFunction('convertToInteractive',\n",
              "                                                     [key], {});\n",
              "          if (!dataTable) return;\n",
              "\n",
              "          const docLinkHtml = 'Like what you see? Visit the ' +\n",
              "            '<a target=\"_blank\" href=https://colab.research.google.com/notebooks/data_table.ipynb>data table notebook</a>'\n",
              "            + ' to learn more about interactive tables.';\n",
              "          element.innerHTML = '';\n",
              "          dataTable['output_type'] = 'display_data';\n",
              "          await google.colab.output.renderOutput(dataTable, element);\n",
              "          const docLink = document.createElement('div');\n",
              "          docLink.innerHTML = docLinkHtml;\n",
              "          element.appendChild(docLink);\n",
              "        }\n",
              "      </script>\n",
              "    </div>\n",
              "  </div>\n",
              "  "
            ]
          },
          "metadata": {},
          "execution_count": 88
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "# use first row as col name, and drop first row before concatenating \n",
        "state_data = [state_coor, mpx_cases]\n",
        "\n",
        "for s in state_data: \n",
        "  s.columns = s.iloc[0]\n",
        "  s = s.drop(index=s.index[0],\n",
        "               axis=0,\n",
        "               inplace=True)"
      ],
      "metadata": {
        "id": "9kgaUXav7rLr"
      },
      "execution_count": 89,
      "outputs": []
    },
    {
      "cell_type": "code",
      "source": [
        "state_data[0].head(2)"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 112
        },
        "id": "DPuu-grc-A3Z",
        "outputId": "a3785e71-5e64-4f70-cb0d-fa65f41cce9f"
      },
      "execution_count": 90,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "0 state   latitude    longitude     name\n",
              "1    AL  32.318231   -86.902298  Alabama\n",
              "2    AK  63.588753  -154.493062   Alaska"
            ],
            "text/html": [
              "\n",
              "  <div id=\"df-19f52a91-a3a2-43d0-94b5-8580565cccdc\">\n",
              "    <div class=\"colab-df-container\">\n",
              "      <div>\n",
              "<style scoped>\n",
              "    .dataframe tbody tr th:only-of-type {\n",
              "        vertical-align: middle;\n",
              "    }\n",
              "\n",
              "    .dataframe tbody tr th {\n",
              "        vertical-align: top;\n",
              "    }\n",
              "\n",
              "    .dataframe thead th {\n",
              "        text-align: right;\n",
              "    }\n",
              "</style>\n",
              "<table border=\"1\" class=\"dataframe\">\n",
              "  <thead>\n",
              "    <tr style=\"text-align: right;\">\n",
              "      <th></th>\n",
              "      <th>state</th>\n",
              "      <th>latitude</th>\n",
              "      <th>longitude</th>\n",
              "      <th>name</th>\n",
              "    </tr>\n",
              "  </thead>\n",
              "  <tbody>\n",
              "    <tr>\n",
              "      <th>1</th>\n",
              "      <td>AL</td>\n",
              "      <td>32.318231</td>\n",
              "      <td>-86.902298</td>\n",
              "      <td>Alabama</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>2</th>\n",
              "      <td>AK</td>\n",
              "      <td>63.588753</td>\n",
              "      <td>-154.493062</td>\n",
              "      <td>Alaska</td>\n",
              "    </tr>\n",
              "  </tbody>\n",
              "</table>\n",
              "</div>\n",
              "      <button class=\"colab-df-convert\" onclick=\"convertToInteractive('df-19f52a91-a3a2-43d0-94b5-8580565cccdc')\"\n",
              "              title=\"Convert this dataframe to an interactive table.\"\n",
              "              style=\"display:none;\">\n",
              "        \n",
              "  <svg xmlns=\"http://www.w3.org/2000/svg\" height=\"24px\"viewBox=\"0 0 24 24\"\n",
              "       width=\"24px\">\n",
              "    <path d=\"M0 0h24v24H0V0z\" fill=\"none\"/>\n",
              "    <path d=\"M18.56 5.44l.94 2.06.94-2.06 2.06-.94-2.06-.94-.94-2.06-.94 2.06-2.06.94zm-11 1L8.5 8.5l.94-2.06 2.06-.94-2.06-.94L8.5 2.5l-.94 2.06-2.06.94zm10 10l.94 2.06.94-2.06 2.06-.94-2.06-.94-.94-2.06-.94 2.06-2.06.94z\"/><path d=\"M17.41 7.96l-1.37-1.37c-.4-.4-.92-.59-1.43-.59-.52 0-1.04.2-1.43.59L10.3 9.45l-7.72 7.72c-.78.78-.78 2.05 0 2.83L4 21.41c.39.39.9.59 1.41.59.51 0 1.02-.2 1.41-.59l7.78-7.78 2.81-2.81c.8-.78.8-2.07 0-2.86zM5.41 20L4 18.59l7.72-7.72 1.47 1.35L5.41 20z\"/>\n",
              "  </svg>\n",
              "      </button>\n",
              "      \n",
              "  <style>\n",
              "    .colab-df-container {\n",
              "      display:flex;\n",
              "      flex-wrap:wrap;\n",
              "      gap: 12px;\n",
              "    }\n",
              "\n",
              "    .colab-df-convert {\n",
              "      background-color: #E8F0FE;\n",
              "      border: none;\n",
              "      border-radius: 50%;\n",
              "      cursor: pointer;\n",
              "      display: none;\n",
              "      fill: #1967D2;\n",
              "      height: 32px;\n",
              "      padding: 0 0 0 0;\n",
              "      width: 32px;\n",
              "    }\n",
              "\n",
              "    .colab-df-convert:hover {\n",
              "      background-color: #E2EBFA;\n",
              "      box-shadow: 0px 1px 2px rgba(60, 64, 67, 0.3), 0px 1px 3px 1px rgba(60, 64, 67, 0.15);\n",
              "      fill: #174EA6;\n",
              "    }\n",
              "\n",
              "    [theme=dark] .colab-df-convert {\n",
              "      background-color: #3B4455;\n",
              "      fill: #D2E3FC;\n",
              "    }\n",
              "\n",
              "    [theme=dark] .colab-df-convert:hover {\n",
              "      background-color: #434B5C;\n",
              "      box-shadow: 0px 1px 3px 1px rgba(0, 0, 0, 0.15);\n",
              "      filter: drop-shadow(0px 1px 2px rgba(0, 0, 0, 0.3));\n",
              "      fill: #FFFFFF;\n",
              "    }\n",
              "  </style>\n",
              "\n",
              "      <script>\n",
              "        const buttonEl =\n",
              "          document.querySelector('#df-19f52a91-a3a2-43d0-94b5-8580565cccdc button.colab-df-convert');\n",
              "        buttonEl.style.display =\n",
              "          google.colab.kernel.accessAllowed ? 'block' : 'none';\n",
              "\n",
              "        async function convertToInteractive(key) {\n",
              "          const element = document.querySelector('#df-19f52a91-a3a2-43d0-94b5-8580565cccdc');\n",
              "          const dataTable =\n",
              "            await google.colab.kernel.invokeFunction('convertToInteractive',\n",
              "                                                     [key], {});\n",
              "          if (!dataTable) return;\n",
              "\n",
              "          const docLinkHtml = 'Like what you see? Visit the ' +\n",
              "            '<a target=\"_blank\" href=https://colab.research.google.com/notebooks/data_table.ipynb>data table notebook</a>'\n",
              "            + ' to learn more about interactive tables.';\n",
              "          element.innerHTML = '';\n",
              "          dataTable['output_type'] = 'display_data';\n",
              "          await google.colab.output.renderOutput(dataTable, element);\n",
              "          const docLink = document.createElement('div');\n",
              "          docLink.innerHTML = docLinkHtml;\n",
              "          element.appendChild(docLink);\n",
              "        }\n",
              "      </script>\n",
              "    </div>\n",
              "  </div>\n",
              "  "
            ]
          },
          "metadata": {},
          "execution_count": 90
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "state_data[1].head(2)"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 112
        },
        "id": "95H6LYB__Orq",
        "outputId": "a72dcd5b-beb6-4869-c333-c2d3f1116ea8"
      },
      "execution_count": 91,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "0 Location Cases Case Range                                      AsOf\n",
              "1  Alabama    53  51 to 100  Data as of August 26 2022 at 2:00 pm EDT\n",
              "2   Alaska     3    1 to 10  Data as of August 26 2022 at 2:00 pm EDT"
            ],
            "text/html": [
              "\n",
              "  <div id=\"df-9635bfd9-ae24-454f-b7b3-cb81ccb9b5c2\">\n",
              "    <div class=\"colab-df-container\">\n",
              "      <div>\n",
              "<style scoped>\n",
              "    .dataframe tbody tr th:only-of-type {\n",
              "        vertical-align: middle;\n",
              "    }\n",
              "\n",
              "    .dataframe tbody tr th {\n",
              "        vertical-align: top;\n",
              "    }\n",
              "\n",
              "    .dataframe thead th {\n",
              "        text-align: right;\n",
              "    }\n",
              "</style>\n",
              "<table border=\"1\" class=\"dataframe\">\n",
              "  <thead>\n",
              "    <tr style=\"text-align: right;\">\n",
              "      <th></th>\n",
              "      <th>Location</th>\n",
              "      <th>Cases</th>\n",
              "      <th>Case Range</th>\n",
              "      <th>AsOf</th>\n",
              "    </tr>\n",
              "  </thead>\n",
              "  <tbody>\n",
              "    <tr>\n",
              "      <th>1</th>\n",
              "      <td>Alabama</td>\n",
              "      <td>53</td>\n",
              "      <td>51 to 100</td>\n",
              "      <td>Data as of August 26 2022 at 2:00 pm EDT</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>2</th>\n",
              "      <td>Alaska</td>\n",
              "      <td>3</td>\n",
              "      <td>1 to 10</td>\n",
              "      <td>Data as of August 26 2022 at 2:00 pm EDT</td>\n",
              "    </tr>\n",
              "  </tbody>\n",
              "</table>\n",
              "</div>\n",
              "      <button class=\"colab-df-convert\" onclick=\"convertToInteractive('df-9635bfd9-ae24-454f-b7b3-cb81ccb9b5c2')\"\n",
              "              title=\"Convert this dataframe to an interactive table.\"\n",
              "              style=\"display:none;\">\n",
              "        \n",
              "  <svg xmlns=\"http://www.w3.org/2000/svg\" height=\"24px\"viewBox=\"0 0 24 24\"\n",
              "       width=\"24px\">\n",
              "    <path d=\"M0 0h24v24H0V0z\" fill=\"none\"/>\n",
              "    <path d=\"M18.56 5.44l.94 2.06.94-2.06 2.06-.94-2.06-.94-.94-2.06-.94 2.06-2.06.94zm-11 1L8.5 8.5l.94-2.06 2.06-.94-2.06-.94L8.5 2.5l-.94 2.06-2.06.94zm10 10l.94 2.06.94-2.06 2.06-.94-2.06-.94-.94-2.06-.94 2.06-2.06.94z\"/><path d=\"M17.41 7.96l-1.37-1.37c-.4-.4-.92-.59-1.43-.59-.52 0-1.04.2-1.43.59L10.3 9.45l-7.72 7.72c-.78.78-.78 2.05 0 2.83L4 21.41c.39.39.9.59 1.41.59.51 0 1.02-.2 1.41-.59l7.78-7.78 2.81-2.81c.8-.78.8-2.07 0-2.86zM5.41 20L4 18.59l7.72-7.72 1.47 1.35L5.41 20z\"/>\n",
              "  </svg>\n",
              "      </button>\n",
              "      \n",
              "  <style>\n",
              "    .colab-df-container {\n",
              "      display:flex;\n",
              "      flex-wrap:wrap;\n",
              "      gap: 12px;\n",
              "    }\n",
              "\n",
              "    .colab-df-convert {\n",
              "      background-color: #E8F0FE;\n",
              "      border: none;\n",
              "      border-radius: 50%;\n",
              "      cursor: pointer;\n",
              "      display: none;\n",
              "      fill: #1967D2;\n",
              "      height: 32px;\n",
              "      padding: 0 0 0 0;\n",
              "      width: 32px;\n",
              "    }\n",
              "\n",
              "    .colab-df-convert:hover {\n",
              "      background-color: #E2EBFA;\n",
              "      box-shadow: 0px 1px 2px rgba(60, 64, 67, 0.3), 0px 1px 3px 1px rgba(60, 64, 67, 0.15);\n",
              "      fill: #174EA6;\n",
              "    }\n",
              "\n",
              "    [theme=dark] .colab-df-convert {\n",
              "      background-color: #3B4455;\n",
              "      fill: #D2E3FC;\n",
              "    }\n",
              "\n",
              "    [theme=dark] .colab-df-convert:hover {\n",
              "      background-color: #434B5C;\n",
              "      box-shadow: 0px 1px 3px 1px rgba(0, 0, 0, 0.15);\n",
              "      filter: drop-shadow(0px 1px 2px rgba(0, 0, 0, 0.3));\n",
              "      fill: #FFFFFF;\n",
              "    }\n",
              "  </style>\n",
              "\n",
              "      <script>\n",
              "        const buttonEl =\n",
              "          document.querySelector('#df-9635bfd9-ae24-454f-b7b3-cb81ccb9b5c2 button.colab-df-convert');\n",
              "        buttonEl.style.display =\n",
              "          google.colab.kernel.accessAllowed ? 'block' : 'none';\n",
              "\n",
              "        async function convertToInteractive(key) {\n",
              "          const element = document.querySelector('#df-9635bfd9-ae24-454f-b7b3-cb81ccb9b5c2');\n",
              "          const dataTable =\n",
              "            await google.colab.kernel.invokeFunction('convertToInteractive',\n",
              "                                                     [key], {});\n",
              "          if (!dataTable) return;\n",
              "\n",
              "          const docLinkHtml = 'Like what you see? Visit the ' +\n",
              "            '<a target=\"_blank\" href=https://colab.research.google.com/notebooks/data_table.ipynb>data table notebook</a>'\n",
              "            + ' to learn more about interactive tables.';\n",
              "          element.innerHTML = '';\n",
              "          dataTable['output_type'] = 'display_data';\n",
              "          await google.colab.output.renderOutput(dataTable, element);\n",
              "          const docLink = document.createElement('div');\n",
              "          docLink.innerHTML = docLinkHtml;\n",
              "          element.appendChild(docLink);\n",
              "        }\n",
              "      </script>\n",
              "    </div>\n",
              "  </div>\n",
              "  "
            ]
          },
          "metadata": {},
          "execution_count": 91
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "state_coor.drop(['state'], axis=1, inplace=True)\n",
        "state_coor.sort_values(by=['name'], inplace=True)\n",
        "state_coor = state_coor.rename(columns={'latitude': 'lat', 'longitude': 'lon', 'name': 'state'})"
      ],
      "metadata": {
        "id": "EKS9D98X7iGy"
      },
      "execution_count": 92,
      "outputs": []
    },
    {
      "cell_type": "code",
      "source": [
        "state_coor.tail(2)"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 112
        },
        "id": "bmF8p8_l-STb",
        "outputId": "3799e16f-a838-421a-c4c0-cc812e95a3fd"
      },
      "execution_count": 93,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "0         lat          lon      state\n",
              "51   43.78444   -88.787868  Wisconsin\n",
              "52  43.075968  -107.290284    Wyoming"
            ],
            "text/html": [
              "\n",
              "  <div id=\"df-543cddad-93f6-48a1-9dca-371a5260b68d\">\n",
              "    <div class=\"colab-df-container\">\n",
              "      <div>\n",
              "<style scoped>\n",
              "    .dataframe tbody tr th:only-of-type {\n",
              "        vertical-align: middle;\n",
              "    }\n",
              "\n",
              "    .dataframe tbody tr th {\n",
              "        vertical-align: top;\n",
              "    }\n",
              "\n",
              "    .dataframe thead th {\n",
              "        text-align: right;\n",
              "    }\n",
              "</style>\n",
              "<table border=\"1\" class=\"dataframe\">\n",
              "  <thead>\n",
              "    <tr style=\"text-align: right;\">\n",
              "      <th></th>\n",
              "      <th>lat</th>\n",
              "      <th>lon</th>\n",
              "      <th>state</th>\n",
              "    </tr>\n",
              "  </thead>\n",
              "  <tbody>\n",
              "    <tr>\n",
              "      <th>51</th>\n",
              "      <td>43.78444</td>\n",
              "      <td>-88.787868</td>\n",
              "      <td>Wisconsin</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>52</th>\n",
              "      <td>43.075968</td>\n",
              "      <td>-107.290284</td>\n",
              "      <td>Wyoming</td>\n",
              "    </tr>\n",
              "  </tbody>\n",
              "</table>\n",
              "</div>\n",
              "      <button class=\"colab-df-convert\" onclick=\"convertToInteractive('df-543cddad-93f6-48a1-9dca-371a5260b68d')\"\n",
              "              title=\"Convert this dataframe to an interactive table.\"\n",
              "              style=\"display:none;\">\n",
              "        \n",
              "  <svg xmlns=\"http://www.w3.org/2000/svg\" height=\"24px\"viewBox=\"0 0 24 24\"\n",
              "       width=\"24px\">\n",
              "    <path d=\"M0 0h24v24H0V0z\" fill=\"none\"/>\n",
              "    <path d=\"M18.56 5.44l.94 2.06.94-2.06 2.06-.94-2.06-.94-.94-2.06-.94 2.06-2.06.94zm-11 1L8.5 8.5l.94-2.06 2.06-.94-2.06-.94L8.5 2.5l-.94 2.06-2.06.94zm10 10l.94 2.06.94-2.06 2.06-.94-2.06-.94-.94-2.06-.94 2.06-2.06.94z\"/><path d=\"M17.41 7.96l-1.37-1.37c-.4-.4-.92-.59-1.43-.59-.52 0-1.04.2-1.43.59L10.3 9.45l-7.72 7.72c-.78.78-.78 2.05 0 2.83L4 21.41c.39.39.9.59 1.41.59.51 0 1.02-.2 1.41-.59l7.78-7.78 2.81-2.81c.8-.78.8-2.07 0-2.86zM5.41 20L4 18.59l7.72-7.72 1.47 1.35L5.41 20z\"/>\n",
              "  </svg>\n",
              "      </button>\n",
              "      \n",
              "  <style>\n",
              "    .colab-df-container {\n",
              "      display:flex;\n",
              "      flex-wrap:wrap;\n",
              "      gap: 12px;\n",
              "    }\n",
              "\n",
              "    .colab-df-convert {\n",
              "      background-color: #E8F0FE;\n",
              "      border: none;\n",
              "      border-radius: 50%;\n",
              "      cursor: pointer;\n",
              "      display: none;\n",
              "      fill: #1967D2;\n",
              "      height: 32px;\n",
              "      padding: 0 0 0 0;\n",
              "      width: 32px;\n",
              "    }\n",
              "\n",
              "    .colab-df-convert:hover {\n",
              "      background-color: #E2EBFA;\n",
              "      box-shadow: 0px 1px 2px rgba(60, 64, 67, 0.3), 0px 1px 3px 1px rgba(60, 64, 67, 0.15);\n",
              "      fill: #174EA6;\n",
              "    }\n",
              "\n",
              "    [theme=dark] .colab-df-convert {\n",
              "      background-color: #3B4455;\n",
              "      fill: #D2E3FC;\n",
              "    }\n",
              "\n",
              "    [theme=dark] .colab-df-convert:hover {\n",
              "      background-color: #434B5C;\n",
              "      box-shadow: 0px 1px 3px 1px rgba(0, 0, 0, 0.15);\n",
              "      filter: drop-shadow(0px 1px 2px rgba(0, 0, 0, 0.3));\n",
              "      fill: #FFFFFF;\n",
              "    }\n",
              "  </style>\n",
              "\n",
              "      <script>\n",
              "        const buttonEl =\n",
              "          document.querySelector('#df-543cddad-93f6-48a1-9dca-371a5260b68d button.colab-df-convert');\n",
              "        buttonEl.style.display =\n",
              "          google.colab.kernel.accessAllowed ? 'block' : 'none';\n",
              "\n",
              "        async function convertToInteractive(key) {\n",
              "          const element = document.querySelector('#df-543cddad-93f6-48a1-9dca-371a5260b68d');\n",
              "          const dataTable =\n",
              "            await google.colab.kernel.invokeFunction('convertToInteractive',\n",
              "                                                     [key], {});\n",
              "          if (!dataTable) return;\n",
              "\n",
              "          const docLinkHtml = 'Like what you see? Visit the ' +\n",
              "            '<a target=\"_blank\" href=https://colab.research.google.com/notebooks/data_table.ipynb>data table notebook</a>'\n",
              "            + ' to learn more about interactive tables.';\n",
              "          element.innerHTML = '';\n",
              "          dataTable['output_type'] = 'display_data';\n",
              "          await google.colab.output.renderOutput(dataTable, element);\n",
              "          const docLink = document.createElement('div');\n",
              "          docLink.innerHTML = docLinkHtml;\n",
              "          element.appendChild(docLink);\n",
              "        }\n",
              "      </script>\n",
              "    </div>\n",
              "  </div>\n",
              "  "
            ]
          },
          "metadata": {},
          "execution_count": 93
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "mpx_cases.drop(['AsOf', 'Case Range'], axis=1, inplace=True)\n",
        "mpx_cases.sort_values(by=['Location'], inplace=True)\n",
        "mpx_cases = mpx_cases.rename(columns={'Location': 'state', 'Cases':'cases'})\n",
        "mpx_cases = mpx_cases.astype({'cases':'int'})\n",
        "mpx_cases.info()"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "I3LNNbQNr4Ut",
        "outputId": "f91641a6-1f4d-4bc1-d4b1-937f3e40843d"
      },
      "execution_count": 94,
      "outputs": [
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "<class 'pandas.core.frame.DataFrame'>\n",
            "Int64Index: 52 entries, 1 to 52\n",
            "Data columns (total 2 columns):\n",
            " #   Column  Non-Null Count  Dtype \n",
            "---  ------  --------------  ----- \n",
            " 0   state   52 non-null     object\n",
            " 1   cases   52 non-null     int64 \n",
            "dtypes: int64(1), object(1)\n",
            "memory usage: 1.2+ KB\n"
          ]
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "mpx_cases.tail(2)"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 112
        },
        "id": "bPKo64Aw-2zp",
        "outputId": "7ac1c242-cdaf-45d6-df3e-f2d545ec4347"
      },
      "execution_count": 95,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "0       state  cases\n",
              "51  Wisconsin     56\n",
              "52    Wyoming      1"
            ],
            "text/html": [
              "\n",
              "  <div id=\"df-841e2dcb-37ee-47ab-b17d-4c824ec1c3ea\">\n",
              "    <div class=\"colab-df-container\">\n",
              "      <div>\n",
              "<style scoped>\n",
              "    .dataframe tbody tr th:only-of-type {\n",
              "        vertical-align: middle;\n",
              "    }\n",
              "\n",
              "    .dataframe tbody tr th {\n",
              "        vertical-align: top;\n",
              "    }\n",
              "\n",
              "    .dataframe thead th {\n",
              "        text-align: right;\n",
              "    }\n",
              "</style>\n",
              "<table border=\"1\" class=\"dataframe\">\n",
              "  <thead>\n",
              "    <tr style=\"text-align: right;\">\n",
              "      <th></th>\n",
              "      <th>state</th>\n",
              "      <th>cases</th>\n",
              "    </tr>\n",
              "  </thead>\n",
              "  <tbody>\n",
              "    <tr>\n",
              "      <th>51</th>\n",
              "      <td>Wisconsin</td>\n",
              "      <td>56</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>52</th>\n",
              "      <td>Wyoming</td>\n",
              "      <td>1</td>\n",
              "    </tr>\n",
              "  </tbody>\n",
              "</table>\n",
              "</div>\n",
              "      <button class=\"colab-df-convert\" onclick=\"convertToInteractive('df-841e2dcb-37ee-47ab-b17d-4c824ec1c3ea')\"\n",
              "              title=\"Convert this dataframe to an interactive table.\"\n",
              "              style=\"display:none;\">\n",
              "        \n",
              "  <svg xmlns=\"http://www.w3.org/2000/svg\" height=\"24px\"viewBox=\"0 0 24 24\"\n",
              "       width=\"24px\">\n",
              "    <path d=\"M0 0h24v24H0V0z\" fill=\"none\"/>\n",
              "    <path d=\"M18.56 5.44l.94 2.06.94-2.06 2.06-.94-2.06-.94-.94-2.06-.94 2.06-2.06.94zm-11 1L8.5 8.5l.94-2.06 2.06-.94-2.06-.94L8.5 2.5l-.94 2.06-2.06.94zm10 10l.94 2.06.94-2.06 2.06-.94-2.06-.94-.94-2.06-.94 2.06-2.06.94z\"/><path d=\"M17.41 7.96l-1.37-1.37c-.4-.4-.92-.59-1.43-.59-.52 0-1.04.2-1.43.59L10.3 9.45l-7.72 7.72c-.78.78-.78 2.05 0 2.83L4 21.41c.39.39.9.59 1.41.59.51 0 1.02-.2 1.41-.59l7.78-7.78 2.81-2.81c.8-.78.8-2.07 0-2.86zM5.41 20L4 18.59l7.72-7.72 1.47 1.35L5.41 20z\"/>\n",
              "  </svg>\n",
              "      </button>\n",
              "      \n",
              "  <style>\n",
              "    .colab-df-container {\n",
              "      display:flex;\n",
              "      flex-wrap:wrap;\n",
              "      gap: 12px;\n",
              "    }\n",
              "\n",
              "    .colab-df-convert {\n",
              "      background-color: #E8F0FE;\n",
              "      border: none;\n",
              "      border-radius: 50%;\n",
              "      cursor: pointer;\n",
              "      display: none;\n",
              "      fill: #1967D2;\n",
              "      height: 32px;\n",
              "      padding: 0 0 0 0;\n",
              "      width: 32px;\n",
              "    }\n",
              "\n",
              "    .colab-df-convert:hover {\n",
              "      background-color: #E2EBFA;\n",
              "      box-shadow: 0px 1px 2px rgba(60, 64, 67, 0.3), 0px 1px 3px 1px rgba(60, 64, 67, 0.15);\n",
              "      fill: #174EA6;\n",
              "    }\n",
              "\n",
              "    [theme=dark] .colab-df-convert {\n",
              "      background-color: #3B4455;\n",
              "      fill: #D2E3FC;\n",
              "    }\n",
              "\n",
              "    [theme=dark] .colab-df-convert:hover {\n",
              "      background-color: #434B5C;\n",
              "      box-shadow: 0px 1px 3px 1px rgba(0, 0, 0, 0.15);\n",
              "      filter: drop-shadow(0px 1px 2px rgba(0, 0, 0, 0.3));\n",
              "      fill: #FFFFFF;\n",
              "    }\n",
              "  </style>\n",
              "\n",
              "      <script>\n",
              "        const buttonEl =\n",
              "          document.querySelector('#df-841e2dcb-37ee-47ab-b17d-4c824ec1c3ea button.colab-df-convert');\n",
              "        buttonEl.style.display =\n",
              "          google.colab.kernel.accessAllowed ? 'block' : 'none';\n",
              "\n",
              "        async function convertToInteractive(key) {\n",
              "          const element = document.querySelector('#df-841e2dcb-37ee-47ab-b17d-4c824ec1c3ea');\n",
              "          const dataTable =\n",
              "            await google.colab.kernel.invokeFunction('convertToInteractive',\n",
              "                                                     [key], {});\n",
              "          if (!dataTable) return;\n",
              "\n",
              "          const docLinkHtml = 'Like what you see? Visit the ' +\n",
              "            '<a target=\"_blank\" href=https://colab.research.google.com/notebooks/data_table.ipynb>data table notebook</a>'\n",
              "            + ' to learn more about interactive tables.';\n",
              "          element.innerHTML = '';\n",
              "          dataTable['output_type'] = 'display_data';\n",
              "          await google.colab.output.renderOutput(dataTable, element);\n",
              "          const docLink = document.createElement('div');\n",
              "          docLink.innerHTML = docLinkHtml;\n",
              "          element.appendChild(docLink);\n",
              "        }\n",
              "      </script>\n",
              "    </div>\n",
              "  </div>\n",
              "  "
            ]
          },
          "metadata": {},
          "execution_count": 95
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "state_cases = state_coor.join(mpx_cases.set_index('state'), on='state')\n",
        "state_cases.head(2)"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 112
        },
        "id": "UL6zAEiSBQBD",
        "outputId": "63ffb965-a22a-4534-9d2a-94a75fb8e96c"
      },
      "execution_count": 96,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "0        lat          lon    state  cases\n",
              "1  32.318231   -86.902298  Alabama     53\n",
              "2  63.588753  -154.493062   Alaska      3"
            ],
            "text/html": [
              "\n",
              "  <div id=\"df-073f4b2b-3b73-4826-957d-d29150064ea8\">\n",
              "    <div class=\"colab-df-container\">\n",
              "      <div>\n",
              "<style scoped>\n",
              "    .dataframe tbody tr th:only-of-type {\n",
              "        vertical-align: middle;\n",
              "    }\n",
              "\n",
              "    .dataframe tbody tr th {\n",
              "        vertical-align: top;\n",
              "    }\n",
              "\n",
              "    .dataframe thead th {\n",
              "        text-align: right;\n",
              "    }\n",
              "</style>\n",
              "<table border=\"1\" class=\"dataframe\">\n",
              "  <thead>\n",
              "    <tr style=\"text-align: right;\">\n",
              "      <th></th>\n",
              "      <th>lat</th>\n",
              "      <th>lon</th>\n",
              "      <th>state</th>\n",
              "      <th>cases</th>\n",
              "    </tr>\n",
              "  </thead>\n",
              "  <tbody>\n",
              "    <tr>\n",
              "      <th>1</th>\n",
              "      <td>32.318231</td>\n",
              "      <td>-86.902298</td>\n",
              "      <td>Alabama</td>\n",
              "      <td>53</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>2</th>\n",
              "      <td>63.588753</td>\n",
              "      <td>-154.493062</td>\n",
              "      <td>Alaska</td>\n",
              "      <td>3</td>\n",
              "    </tr>\n",
              "  </tbody>\n",
              "</table>\n",
              "</div>\n",
              "      <button class=\"colab-df-convert\" onclick=\"convertToInteractive('df-073f4b2b-3b73-4826-957d-d29150064ea8')\"\n",
              "              title=\"Convert this dataframe to an interactive table.\"\n",
              "              style=\"display:none;\">\n",
              "        \n",
              "  <svg xmlns=\"http://www.w3.org/2000/svg\" height=\"24px\"viewBox=\"0 0 24 24\"\n",
              "       width=\"24px\">\n",
              "    <path d=\"M0 0h24v24H0V0z\" fill=\"none\"/>\n",
              "    <path d=\"M18.56 5.44l.94 2.06.94-2.06 2.06-.94-2.06-.94-.94-2.06-.94 2.06-2.06.94zm-11 1L8.5 8.5l.94-2.06 2.06-.94-2.06-.94L8.5 2.5l-.94 2.06-2.06.94zm10 10l.94 2.06.94-2.06 2.06-.94-2.06-.94-.94-2.06-.94 2.06-2.06.94z\"/><path d=\"M17.41 7.96l-1.37-1.37c-.4-.4-.92-.59-1.43-.59-.52 0-1.04.2-1.43.59L10.3 9.45l-7.72 7.72c-.78.78-.78 2.05 0 2.83L4 21.41c.39.39.9.59 1.41.59.51 0 1.02-.2 1.41-.59l7.78-7.78 2.81-2.81c.8-.78.8-2.07 0-2.86zM5.41 20L4 18.59l7.72-7.72 1.47 1.35L5.41 20z\"/>\n",
              "  </svg>\n",
              "      </button>\n",
              "      \n",
              "  <style>\n",
              "    .colab-df-container {\n",
              "      display:flex;\n",
              "      flex-wrap:wrap;\n",
              "      gap: 12px;\n",
              "    }\n",
              "\n",
              "    .colab-df-convert {\n",
              "      background-color: #E8F0FE;\n",
              "      border: none;\n",
              "      border-radius: 50%;\n",
              "      cursor: pointer;\n",
              "      display: none;\n",
              "      fill: #1967D2;\n",
              "      height: 32px;\n",
              "      padding: 0 0 0 0;\n",
              "      width: 32px;\n",
              "    }\n",
              "\n",
              "    .colab-df-convert:hover {\n",
              "      background-color: #E2EBFA;\n",
              "      box-shadow: 0px 1px 2px rgba(60, 64, 67, 0.3), 0px 1px 3px 1px rgba(60, 64, 67, 0.15);\n",
              "      fill: #174EA6;\n",
              "    }\n",
              "\n",
              "    [theme=dark] .colab-df-convert {\n",
              "      background-color: #3B4455;\n",
              "      fill: #D2E3FC;\n",
              "    }\n",
              "\n",
              "    [theme=dark] .colab-df-convert:hover {\n",
              "      background-color: #434B5C;\n",
              "      box-shadow: 0px 1px 3px 1px rgba(0, 0, 0, 0.15);\n",
              "      filter: drop-shadow(0px 1px 2px rgba(0, 0, 0, 0.3));\n",
              "      fill: #FFFFFF;\n",
              "    }\n",
              "  </style>\n",
              "\n",
              "      <script>\n",
              "        const buttonEl =\n",
              "          document.querySelector('#df-073f4b2b-3b73-4826-957d-d29150064ea8 button.colab-df-convert');\n",
              "        buttonEl.style.display =\n",
              "          google.colab.kernel.accessAllowed ? 'block' : 'none';\n",
              "\n",
              "        async function convertToInteractive(key) {\n",
              "          const element = document.querySelector('#df-073f4b2b-3b73-4826-957d-d29150064ea8');\n",
              "          const dataTable =\n",
              "            await google.colab.kernel.invokeFunction('convertToInteractive',\n",
              "                                                     [key], {});\n",
              "          if (!dataTable) return;\n",
              "\n",
              "          const docLinkHtml = 'Like what you see? Visit the ' +\n",
              "            '<a target=\"_blank\" href=https://colab.research.google.com/notebooks/data_table.ipynb>data table notebook</a>'\n",
              "            + ' to learn more about interactive tables.';\n",
              "          element.innerHTML = '';\n",
              "          dataTable['output_type'] = 'display_data';\n",
              "          await google.colab.output.renderOutput(dataTable, element);\n",
              "          const docLink = document.createElement('div');\n",
              "          docLink.innerHTML = docLinkHtml;\n",
              "          element.appendChild(docLink);\n",
              "        }\n",
              "      </script>\n",
              "    </div>\n",
              "  </div>\n",
              "  "
            ]
          },
          "metadata": {},
          "execution_count": 96
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "state_cases.to_csv('state_cases_for_map.csv')  "
      ],
      "metadata": {
        "id": "GUkY6bJxr4ac"
      },
      "execution_count": 97,
      "outputs": []
    },
    {
      "cell_type": "markdown",
      "source": [
        "### 5.5  Tweets by Location"
      ],
      "metadata": {
        "id": "FX2wI5XVRO6q"
      }
    },
    {
      "cell_type": "markdown",
      "source": [
        "Note: Did not use in dashboard"
      ],
      "metadata": {
        "id": "58myPy_BSeXI"
      }
    },
    {
      "cell_type": "code",
      "source": [
        "location_df.info()"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "ver9l8u3cFc9",
        "outputId": "167c1801-5266-4323-a9e0-126c57da2884"
      },
      "execution_count": 98,
      "outputs": [
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "<class 'pandas.core.frame.DataFrame'>\n",
            "RangeIndex: 3589 entries, 0 to 3588\n",
            "Data columns (total 2 columns):\n",
            " #   Column         Non-Null Count  Dtype \n",
            "---  ------         --------------  ----- \n",
            " 0   user_location  3588 non-null   object\n",
            " 1   count          3589 non-null   int64 \n",
            "dtypes: int64(1), object(1)\n",
            "memory usage: 56.2+ KB\n"
          ]
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "# Save location_df\n",
        "df.to_pickle('/content/drive/MyDrive/location.pkl')\n",
        "df.to_csv(r'/content/drive/MyDrive/location.csv')\n",
        "df.to_csv(r'/content/location.csv')"
      ],
      "metadata": {
        "id": "5CXoIsgjy5ui"
      },
      "execution_count": 99,
      "outputs": []
    },
    {
      "cell_type": "code",
      "source": [
        "# import usa and world cities from https://simplemaps.com/data\n",
        "w = ['uscities', 'worldcities']\n",
        "\n",
        "us_cities = pd.DataFrame.from_records(gc.open(w[0]).sheet1.get_all_values())\n",
        "world_cities = pd.DataFrame.from_records(gc.open(w[1]).sheet1.get_all_values())"
      ],
      "metadata": {
        "id": "Puwwzbby0Hgv"
      },
      "execution_count": 100,
      "outputs": []
    },
    {
      "cell_type": "code",
      "source": [
        "us_cities.head(3)"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 143
        },
        "id": "HiwgYG7J0HjW",
        "outputId": "7085da58-df1f-4c28-a617-a1385d35b5f0"
      },
      "execution_count": 101,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "             0     1              2        3          4           5\n",
              "0         city  abbv  state_country      lat        lon  population\n",
              "1     New York    NY       New York  40.6943   -73.9249    18680025\n",
              "2  Los Angeles    CA     California  34.1141  -118.4068    12531334"
            ],
            "text/html": [
              "\n",
              "  <div id=\"df-84046ab2-5935-4914-9ecc-1d4ae3bf9542\">\n",
              "    <div class=\"colab-df-container\">\n",
              "      <div>\n",
              "<style scoped>\n",
              "    .dataframe tbody tr th:only-of-type {\n",
              "        vertical-align: middle;\n",
              "    }\n",
              "\n",
              "    .dataframe tbody tr th {\n",
              "        vertical-align: top;\n",
              "    }\n",
              "\n",
              "    .dataframe thead th {\n",
              "        text-align: right;\n",
              "    }\n",
              "</style>\n",
              "<table border=\"1\" class=\"dataframe\">\n",
              "  <thead>\n",
              "    <tr style=\"text-align: right;\">\n",
              "      <th></th>\n",
              "      <th>0</th>\n",
              "      <th>1</th>\n",
              "      <th>2</th>\n",
              "      <th>3</th>\n",
              "      <th>4</th>\n",
              "      <th>5</th>\n",
              "    </tr>\n",
              "  </thead>\n",
              "  <tbody>\n",
              "    <tr>\n",
              "      <th>0</th>\n",
              "      <td>city</td>\n",
              "      <td>abbv</td>\n",
              "      <td>state_country</td>\n",
              "      <td>lat</td>\n",
              "      <td>lon</td>\n",
              "      <td>population</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>1</th>\n",
              "      <td>New York</td>\n",
              "      <td>NY</td>\n",
              "      <td>New York</td>\n",
              "      <td>40.6943</td>\n",
              "      <td>-73.9249</td>\n",
              "      <td>18680025</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>2</th>\n",
              "      <td>Los Angeles</td>\n",
              "      <td>CA</td>\n",
              "      <td>California</td>\n",
              "      <td>34.1141</td>\n",
              "      <td>-118.4068</td>\n",
              "      <td>12531334</td>\n",
              "    </tr>\n",
              "  </tbody>\n",
              "</table>\n",
              "</div>\n",
              "      <button class=\"colab-df-convert\" onclick=\"convertToInteractive('df-84046ab2-5935-4914-9ecc-1d4ae3bf9542')\"\n",
              "              title=\"Convert this dataframe to an interactive table.\"\n",
              "              style=\"display:none;\">\n",
              "        \n",
              "  <svg xmlns=\"http://www.w3.org/2000/svg\" height=\"24px\"viewBox=\"0 0 24 24\"\n",
              "       width=\"24px\">\n",
              "    <path d=\"M0 0h24v24H0V0z\" fill=\"none\"/>\n",
              "    <path d=\"M18.56 5.44l.94 2.06.94-2.06 2.06-.94-2.06-.94-.94-2.06-.94 2.06-2.06.94zm-11 1L8.5 8.5l.94-2.06 2.06-.94-2.06-.94L8.5 2.5l-.94 2.06-2.06.94zm10 10l.94 2.06.94-2.06 2.06-.94-2.06-.94-.94-2.06-.94 2.06-2.06.94z\"/><path d=\"M17.41 7.96l-1.37-1.37c-.4-.4-.92-.59-1.43-.59-.52 0-1.04.2-1.43.59L10.3 9.45l-7.72 7.72c-.78.78-.78 2.05 0 2.83L4 21.41c.39.39.9.59 1.41.59.51 0 1.02-.2 1.41-.59l7.78-7.78 2.81-2.81c.8-.78.8-2.07 0-2.86zM5.41 20L4 18.59l7.72-7.72 1.47 1.35L5.41 20z\"/>\n",
              "  </svg>\n",
              "      </button>\n",
              "      \n",
              "  <style>\n",
              "    .colab-df-container {\n",
              "      display:flex;\n",
              "      flex-wrap:wrap;\n",
              "      gap: 12px;\n",
              "    }\n",
              "\n",
              "    .colab-df-convert {\n",
              "      background-color: #E8F0FE;\n",
              "      border: none;\n",
              "      border-radius: 50%;\n",
              "      cursor: pointer;\n",
              "      display: none;\n",
              "      fill: #1967D2;\n",
              "      height: 32px;\n",
              "      padding: 0 0 0 0;\n",
              "      width: 32px;\n",
              "    }\n",
              "\n",
              "    .colab-df-convert:hover {\n",
              "      background-color: #E2EBFA;\n",
              "      box-shadow: 0px 1px 2px rgba(60, 64, 67, 0.3), 0px 1px 3px 1px rgba(60, 64, 67, 0.15);\n",
              "      fill: #174EA6;\n",
              "    }\n",
              "\n",
              "    [theme=dark] .colab-df-convert {\n",
              "      background-color: #3B4455;\n",
              "      fill: #D2E3FC;\n",
              "    }\n",
              "\n",
              "    [theme=dark] .colab-df-convert:hover {\n",
              "      background-color: #434B5C;\n",
              "      box-shadow: 0px 1px 3px 1px rgba(0, 0, 0, 0.15);\n",
              "      filter: drop-shadow(0px 1px 2px rgba(0, 0, 0, 0.3));\n",
              "      fill: #FFFFFF;\n",
              "    }\n",
              "  </style>\n",
              "\n",
              "      <script>\n",
              "        const buttonEl =\n",
              "          document.querySelector('#df-84046ab2-5935-4914-9ecc-1d4ae3bf9542 button.colab-df-convert');\n",
              "        buttonEl.style.display =\n",
              "          google.colab.kernel.accessAllowed ? 'block' : 'none';\n",
              "\n",
              "        async function convertToInteractive(key) {\n",
              "          const element = document.querySelector('#df-84046ab2-5935-4914-9ecc-1d4ae3bf9542');\n",
              "          const dataTable =\n",
              "            await google.colab.kernel.invokeFunction('convertToInteractive',\n",
              "                                                     [key], {});\n",
              "          if (!dataTable) return;\n",
              "\n",
              "          const docLinkHtml = 'Like what you see? Visit the ' +\n",
              "            '<a target=\"_blank\" href=https://colab.research.google.com/notebooks/data_table.ipynb>data table notebook</a>'\n",
              "            + ' to learn more about interactive tables.';\n",
              "          element.innerHTML = '';\n",
              "          dataTable['output_type'] = 'display_data';\n",
              "          await google.colab.output.renderOutput(dataTable, element);\n",
              "          const docLink = document.createElement('div');\n",
              "          docLink.innerHTML = docLinkHtml;\n",
              "          element.appendChild(docLink);\n",
              "        }\n",
              "      </script>\n",
              "    </div>\n",
              "  </div>\n",
              "  "
            ]
          },
          "metadata": {},
          "execution_count": 101
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "world_cities.head(3)"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 143
        },
        "id": "B183KxZx41dR",
        "outputId": "557f73b0-7acc-4e98-e928-646510cde76b"
      },
      "execution_count": 102,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "         0     1              2        3         4           5\n",
              "0     city  abbv  state_country      lat       lon  population\n",
              "1    Tokyo   JPN          Japan  35.6839  139.7744    39105000\n",
              "2  Jakarta   IDN      Indonesia  -6.2146  106.8451    35362000"
            ],
            "text/html": [
              "\n",
              "  <div id=\"df-4996d772-be20-454c-a3e6-aee8b1072565\">\n",
              "    <div class=\"colab-df-container\">\n",
              "      <div>\n",
              "<style scoped>\n",
              "    .dataframe tbody tr th:only-of-type {\n",
              "        vertical-align: middle;\n",
              "    }\n",
              "\n",
              "    .dataframe tbody tr th {\n",
              "        vertical-align: top;\n",
              "    }\n",
              "\n",
              "    .dataframe thead th {\n",
              "        text-align: right;\n",
              "    }\n",
              "</style>\n",
              "<table border=\"1\" class=\"dataframe\">\n",
              "  <thead>\n",
              "    <tr style=\"text-align: right;\">\n",
              "      <th></th>\n",
              "      <th>0</th>\n",
              "      <th>1</th>\n",
              "      <th>2</th>\n",
              "      <th>3</th>\n",
              "      <th>4</th>\n",
              "      <th>5</th>\n",
              "    </tr>\n",
              "  </thead>\n",
              "  <tbody>\n",
              "    <tr>\n",
              "      <th>0</th>\n",
              "      <td>city</td>\n",
              "      <td>abbv</td>\n",
              "      <td>state_country</td>\n",
              "      <td>lat</td>\n",
              "      <td>lon</td>\n",
              "      <td>population</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>1</th>\n",
              "      <td>Tokyo</td>\n",
              "      <td>JPN</td>\n",
              "      <td>Japan</td>\n",
              "      <td>35.6839</td>\n",
              "      <td>139.7744</td>\n",
              "      <td>39105000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>2</th>\n",
              "      <td>Jakarta</td>\n",
              "      <td>IDN</td>\n",
              "      <td>Indonesia</td>\n",
              "      <td>-6.2146</td>\n",
              "      <td>106.8451</td>\n",
              "      <td>35362000</td>\n",
              "    </tr>\n",
              "  </tbody>\n",
              "</table>\n",
              "</div>\n",
              "      <button class=\"colab-df-convert\" onclick=\"convertToInteractive('df-4996d772-be20-454c-a3e6-aee8b1072565')\"\n",
              "              title=\"Convert this dataframe to an interactive table.\"\n",
              "              style=\"display:none;\">\n",
              "        \n",
              "  <svg xmlns=\"http://www.w3.org/2000/svg\" height=\"24px\"viewBox=\"0 0 24 24\"\n",
              "       width=\"24px\">\n",
              "    <path d=\"M0 0h24v24H0V0z\" fill=\"none\"/>\n",
              "    <path d=\"M18.56 5.44l.94 2.06.94-2.06 2.06-.94-2.06-.94-.94-2.06-.94 2.06-2.06.94zm-11 1L8.5 8.5l.94-2.06 2.06-.94-2.06-.94L8.5 2.5l-.94 2.06-2.06.94zm10 10l.94 2.06.94-2.06 2.06-.94-2.06-.94-.94-2.06-.94 2.06-2.06.94z\"/><path d=\"M17.41 7.96l-1.37-1.37c-.4-.4-.92-.59-1.43-.59-.52 0-1.04.2-1.43.59L10.3 9.45l-7.72 7.72c-.78.78-.78 2.05 0 2.83L4 21.41c.39.39.9.59 1.41.59.51 0 1.02-.2 1.41-.59l7.78-7.78 2.81-2.81c.8-.78.8-2.07 0-2.86zM5.41 20L4 18.59l7.72-7.72 1.47 1.35L5.41 20z\"/>\n",
              "  </svg>\n",
              "      </button>\n",
              "      \n",
              "  <style>\n",
              "    .colab-df-container {\n",
              "      display:flex;\n",
              "      flex-wrap:wrap;\n",
              "      gap: 12px;\n",
              "    }\n",
              "\n",
              "    .colab-df-convert {\n",
              "      background-color: #E8F0FE;\n",
              "      border: none;\n",
              "      border-radius: 50%;\n",
              "      cursor: pointer;\n",
              "      display: none;\n",
              "      fill: #1967D2;\n",
              "      height: 32px;\n",
              "      padding: 0 0 0 0;\n",
              "      width: 32px;\n",
              "    }\n",
              "\n",
              "    .colab-df-convert:hover {\n",
              "      background-color: #E2EBFA;\n",
              "      box-shadow: 0px 1px 2px rgba(60, 64, 67, 0.3), 0px 1px 3px 1px rgba(60, 64, 67, 0.15);\n",
              "      fill: #174EA6;\n",
              "    }\n",
              "\n",
              "    [theme=dark] .colab-df-convert {\n",
              "      background-color: #3B4455;\n",
              "      fill: #D2E3FC;\n",
              "    }\n",
              "\n",
              "    [theme=dark] .colab-df-convert:hover {\n",
              "      background-color: #434B5C;\n",
              "      box-shadow: 0px 1px 3px 1px rgba(0, 0, 0, 0.15);\n",
              "      filter: drop-shadow(0px 1px 2px rgba(0, 0, 0, 0.3));\n",
              "      fill: #FFFFFF;\n",
              "    }\n",
              "  </style>\n",
              "\n",
              "      <script>\n",
              "        const buttonEl =\n",
              "          document.querySelector('#df-4996d772-be20-454c-a3e6-aee8b1072565 button.colab-df-convert');\n",
              "        buttonEl.style.display =\n",
              "          google.colab.kernel.accessAllowed ? 'block' : 'none';\n",
              "\n",
              "        async function convertToInteractive(key) {\n",
              "          const element = document.querySelector('#df-4996d772-be20-454c-a3e6-aee8b1072565');\n",
              "          const dataTable =\n",
              "            await google.colab.kernel.invokeFunction('convertToInteractive',\n",
              "                                                     [key], {});\n",
              "          if (!dataTable) return;\n",
              "\n",
              "          const docLinkHtml = 'Like what you see? Visit the ' +\n",
              "            '<a target=\"_blank\" href=https://colab.research.google.com/notebooks/data_table.ipynb>data table notebook</a>'\n",
              "            + ' to learn more about interactive tables.';\n",
              "          element.innerHTML = '';\n",
              "          dataTable['output_type'] = 'display_data';\n",
              "          await google.colab.output.renderOutput(dataTable, element);\n",
              "          const docLink = document.createElement('div');\n",
              "          docLink.innerHTML = docLinkHtml;\n",
              "          element.appendChild(docLink);\n",
              "        }\n",
              "      </script>\n",
              "    </div>\n",
              "  </div>\n",
              "  "
            ]
          },
          "metadata": {},
          "execution_count": 102
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "# use first row as col name, and drop first row before concatenating \n",
        "cities = [us_cities, world_cities]\n",
        "\n",
        "for c in cities: \n",
        "  c.columns = c.iloc[0]\n",
        "  c = c.drop(index=c.index[0],\n",
        "               axis=0,\n",
        "               inplace=True)"
      ],
      "metadata": {
        "id": "E47Ycqq048o2"
      },
      "execution_count": 103,
      "outputs": []
    },
    {
      "cell_type": "code",
      "source": [
        "us_cities.head(3)"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 143
        },
        "id": "-8bwUPD648uT",
        "outputId": "b24a77be-f191-4edc-aa8a-94e71043eced"
      },
      "execution_count": 104,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "0         city abbv state_country      lat        lon population\n",
              "1     New York   NY      New York  40.6943   -73.9249   18680025\n",
              "2  Los Angeles   CA    California  34.1141  -118.4068   12531334\n",
              "3      Chicago   IL      Illinois  41.8375   -87.6866    8586888"
            ],
            "text/html": [
              "\n",
              "  <div id=\"df-03ce1790-8794-4e34-a34a-d07261e4c8b9\">\n",
              "    <div class=\"colab-df-container\">\n",
              "      <div>\n",
              "<style scoped>\n",
              "    .dataframe tbody tr th:only-of-type {\n",
              "        vertical-align: middle;\n",
              "    }\n",
              "\n",
              "    .dataframe tbody tr th {\n",
              "        vertical-align: top;\n",
              "    }\n",
              "\n",
              "    .dataframe thead th {\n",
              "        text-align: right;\n",
              "    }\n",
              "</style>\n",
              "<table border=\"1\" class=\"dataframe\">\n",
              "  <thead>\n",
              "    <tr style=\"text-align: right;\">\n",
              "      <th></th>\n",
              "      <th>city</th>\n",
              "      <th>abbv</th>\n",
              "      <th>state_country</th>\n",
              "      <th>lat</th>\n",
              "      <th>lon</th>\n",
              "      <th>population</th>\n",
              "    </tr>\n",
              "  </thead>\n",
              "  <tbody>\n",
              "    <tr>\n",
              "      <th>1</th>\n",
              "      <td>New York</td>\n",
              "      <td>NY</td>\n",
              "      <td>New York</td>\n",
              "      <td>40.6943</td>\n",
              "      <td>-73.9249</td>\n",
              "      <td>18680025</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>2</th>\n",
              "      <td>Los Angeles</td>\n",
              "      <td>CA</td>\n",
              "      <td>California</td>\n",
              "      <td>34.1141</td>\n",
              "      <td>-118.4068</td>\n",
              "      <td>12531334</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>3</th>\n",
              "      <td>Chicago</td>\n",
              "      <td>IL</td>\n",
              "      <td>Illinois</td>\n",
              "      <td>41.8375</td>\n",
              "      <td>-87.6866</td>\n",
              "      <td>8586888</td>\n",
              "    </tr>\n",
              "  </tbody>\n",
              "</table>\n",
              "</div>\n",
              "      <button class=\"colab-df-convert\" onclick=\"convertToInteractive('df-03ce1790-8794-4e34-a34a-d07261e4c8b9')\"\n",
              "              title=\"Convert this dataframe to an interactive table.\"\n",
              "              style=\"display:none;\">\n",
              "        \n",
              "  <svg xmlns=\"http://www.w3.org/2000/svg\" height=\"24px\"viewBox=\"0 0 24 24\"\n",
              "       width=\"24px\">\n",
              "    <path d=\"M0 0h24v24H0V0z\" fill=\"none\"/>\n",
              "    <path d=\"M18.56 5.44l.94 2.06.94-2.06 2.06-.94-2.06-.94-.94-2.06-.94 2.06-2.06.94zm-11 1L8.5 8.5l.94-2.06 2.06-.94-2.06-.94L8.5 2.5l-.94 2.06-2.06.94zm10 10l.94 2.06.94-2.06 2.06-.94-2.06-.94-.94-2.06-.94 2.06-2.06.94z\"/><path d=\"M17.41 7.96l-1.37-1.37c-.4-.4-.92-.59-1.43-.59-.52 0-1.04.2-1.43.59L10.3 9.45l-7.72 7.72c-.78.78-.78 2.05 0 2.83L4 21.41c.39.39.9.59 1.41.59.51 0 1.02-.2 1.41-.59l7.78-7.78 2.81-2.81c.8-.78.8-2.07 0-2.86zM5.41 20L4 18.59l7.72-7.72 1.47 1.35L5.41 20z\"/>\n",
              "  </svg>\n",
              "      </button>\n",
              "      \n",
              "  <style>\n",
              "    .colab-df-container {\n",
              "      display:flex;\n",
              "      flex-wrap:wrap;\n",
              "      gap: 12px;\n",
              "    }\n",
              "\n",
              "    .colab-df-convert {\n",
              "      background-color: #E8F0FE;\n",
              "      border: none;\n",
              "      border-radius: 50%;\n",
              "      cursor: pointer;\n",
              "      display: none;\n",
              "      fill: #1967D2;\n",
              "      height: 32px;\n",
              "      padding: 0 0 0 0;\n",
              "      width: 32px;\n",
              "    }\n",
              "\n",
              "    .colab-df-convert:hover {\n",
              "      background-color: #E2EBFA;\n",
              "      box-shadow: 0px 1px 2px rgba(60, 64, 67, 0.3), 0px 1px 3px 1px rgba(60, 64, 67, 0.15);\n",
              "      fill: #174EA6;\n",
              "    }\n",
              "\n",
              "    [theme=dark] .colab-df-convert {\n",
              "      background-color: #3B4455;\n",
              "      fill: #D2E3FC;\n",
              "    }\n",
              "\n",
              "    [theme=dark] .colab-df-convert:hover {\n",
              "      background-color: #434B5C;\n",
              "      box-shadow: 0px 1px 3px 1px rgba(0, 0, 0, 0.15);\n",
              "      filter: drop-shadow(0px 1px 2px rgba(0, 0, 0, 0.3));\n",
              "      fill: #FFFFFF;\n",
              "    }\n",
              "  </style>\n",
              "\n",
              "      <script>\n",
              "        const buttonEl =\n",
              "          document.querySelector('#df-03ce1790-8794-4e34-a34a-d07261e4c8b9 button.colab-df-convert');\n",
              "        buttonEl.style.display =\n",
              "          google.colab.kernel.accessAllowed ? 'block' : 'none';\n",
              "\n",
              "        async function convertToInteractive(key) {\n",
              "          const element = document.querySelector('#df-03ce1790-8794-4e34-a34a-d07261e4c8b9');\n",
              "          const dataTable =\n",
              "            await google.colab.kernel.invokeFunction('convertToInteractive',\n",
              "                                                     [key], {});\n",
              "          if (!dataTable) return;\n",
              "\n",
              "          const docLinkHtml = 'Like what you see? Visit the ' +\n",
              "            '<a target=\"_blank\" href=https://colab.research.google.com/notebooks/data_table.ipynb>data table notebook</a>'\n",
              "            + ' to learn more about interactive tables.';\n",
              "          element.innerHTML = '';\n",
              "          dataTable['output_type'] = 'display_data';\n",
              "          await google.colab.output.renderOutput(dataTable, element);\n",
              "          const docLink = document.createElement('div');\n",
              "          docLink.innerHTML = docLinkHtml;\n",
              "          element.appendChild(docLink);\n",
              "        }\n",
              "      </script>\n",
              "    </div>\n",
              "  </div>\n",
              "  "
            ]
          },
          "metadata": {},
          "execution_count": 104
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "world_cities.head(3)"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 143
        },
        "id": "MHPX1tFs48ye",
        "outputId": "96c8c20e-5c65-4699-ec63-0ce697339ec4"
      },
      "execution_count": 105,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "0     city abbv state_country      lat       lon population\n",
              "1    Tokyo  JPN         Japan  35.6839  139.7744   39105000\n",
              "2  Jakarta  IDN     Indonesia  -6.2146  106.8451   35362000\n",
              "3    Delhi  IND         India  28.6667   77.2167   31870000"
            ],
            "text/html": [
              "\n",
              "  <div id=\"df-c9b16bea-4e03-4c95-a8b4-00b95b707e81\">\n",
              "    <div class=\"colab-df-container\">\n",
              "      <div>\n",
              "<style scoped>\n",
              "    .dataframe tbody tr th:only-of-type {\n",
              "        vertical-align: middle;\n",
              "    }\n",
              "\n",
              "    .dataframe tbody tr th {\n",
              "        vertical-align: top;\n",
              "    }\n",
              "\n",
              "    .dataframe thead th {\n",
              "        text-align: right;\n",
              "    }\n",
              "</style>\n",
              "<table border=\"1\" class=\"dataframe\">\n",
              "  <thead>\n",
              "    <tr style=\"text-align: right;\">\n",
              "      <th></th>\n",
              "      <th>city</th>\n",
              "      <th>abbv</th>\n",
              "      <th>state_country</th>\n",
              "      <th>lat</th>\n",
              "      <th>lon</th>\n",
              "      <th>population</th>\n",
              "    </tr>\n",
              "  </thead>\n",
              "  <tbody>\n",
              "    <tr>\n",
              "      <th>1</th>\n",
              "      <td>Tokyo</td>\n",
              "      <td>JPN</td>\n",
              "      <td>Japan</td>\n",
              "      <td>35.6839</td>\n",
              "      <td>139.7744</td>\n",
              "      <td>39105000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>2</th>\n",
              "      <td>Jakarta</td>\n",
              "      <td>IDN</td>\n",
              "      <td>Indonesia</td>\n",
              "      <td>-6.2146</td>\n",
              "      <td>106.8451</td>\n",
              "      <td>35362000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>3</th>\n",
              "      <td>Delhi</td>\n",
              "      <td>IND</td>\n",
              "      <td>India</td>\n",
              "      <td>28.6667</td>\n",
              "      <td>77.2167</td>\n",
              "      <td>31870000</td>\n",
              "    </tr>\n",
              "  </tbody>\n",
              "</table>\n",
              "</div>\n",
              "      <button class=\"colab-df-convert\" onclick=\"convertToInteractive('df-c9b16bea-4e03-4c95-a8b4-00b95b707e81')\"\n",
              "              title=\"Convert this dataframe to an interactive table.\"\n",
              "              style=\"display:none;\">\n",
              "        \n",
              "  <svg xmlns=\"http://www.w3.org/2000/svg\" height=\"24px\"viewBox=\"0 0 24 24\"\n",
              "       width=\"24px\">\n",
              "    <path d=\"M0 0h24v24H0V0z\" fill=\"none\"/>\n",
              "    <path d=\"M18.56 5.44l.94 2.06.94-2.06 2.06-.94-2.06-.94-.94-2.06-.94 2.06-2.06.94zm-11 1L8.5 8.5l.94-2.06 2.06-.94-2.06-.94L8.5 2.5l-.94 2.06-2.06.94zm10 10l.94 2.06.94-2.06 2.06-.94-2.06-.94-.94-2.06-.94 2.06-2.06.94z\"/><path d=\"M17.41 7.96l-1.37-1.37c-.4-.4-.92-.59-1.43-.59-.52 0-1.04.2-1.43.59L10.3 9.45l-7.72 7.72c-.78.78-.78 2.05 0 2.83L4 21.41c.39.39.9.59 1.41.59.51 0 1.02-.2 1.41-.59l7.78-7.78 2.81-2.81c.8-.78.8-2.07 0-2.86zM5.41 20L4 18.59l7.72-7.72 1.47 1.35L5.41 20z\"/>\n",
              "  </svg>\n",
              "      </button>\n",
              "      \n",
              "  <style>\n",
              "    .colab-df-container {\n",
              "      display:flex;\n",
              "      flex-wrap:wrap;\n",
              "      gap: 12px;\n",
              "    }\n",
              "\n",
              "    .colab-df-convert {\n",
              "      background-color: #E8F0FE;\n",
              "      border: none;\n",
              "      border-radius: 50%;\n",
              "      cursor: pointer;\n",
              "      display: none;\n",
              "      fill: #1967D2;\n",
              "      height: 32px;\n",
              "      padding: 0 0 0 0;\n",
              "      width: 32px;\n",
              "    }\n",
              "\n",
              "    .colab-df-convert:hover {\n",
              "      background-color: #E2EBFA;\n",
              "      box-shadow: 0px 1px 2px rgba(60, 64, 67, 0.3), 0px 1px 3px 1px rgba(60, 64, 67, 0.15);\n",
              "      fill: #174EA6;\n",
              "    }\n",
              "\n",
              "    [theme=dark] .colab-df-convert {\n",
              "      background-color: #3B4455;\n",
              "      fill: #D2E3FC;\n",
              "    }\n",
              "\n",
              "    [theme=dark] .colab-df-convert:hover {\n",
              "      background-color: #434B5C;\n",
              "      box-shadow: 0px 1px 3px 1px rgba(0, 0, 0, 0.15);\n",
              "      filter: drop-shadow(0px 1px 2px rgba(0, 0, 0, 0.3));\n",
              "      fill: #FFFFFF;\n",
              "    }\n",
              "  </style>\n",
              "\n",
              "      <script>\n",
              "        const buttonEl =\n",
              "          document.querySelector('#df-c9b16bea-4e03-4c95-a8b4-00b95b707e81 button.colab-df-convert');\n",
              "        buttonEl.style.display =\n",
              "          google.colab.kernel.accessAllowed ? 'block' : 'none';\n",
              "\n",
              "        async function convertToInteractive(key) {\n",
              "          const element = document.querySelector('#df-c9b16bea-4e03-4c95-a8b4-00b95b707e81');\n",
              "          const dataTable =\n",
              "            await google.colab.kernel.invokeFunction('convertToInteractive',\n",
              "                                                     [key], {});\n",
              "          if (!dataTable) return;\n",
              "\n",
              "          const docLinkHtml = 'Like what you see? Visit the ' +\n",
              "            '<a target=\"_blank\" href=https://colab.research.google.com/notebooks/data_table.ipynb>data table notebook</a>'\n",
              "            + ' to learn more about interactive tables.';\n",
              "          element.innerHTML = '';\n",
              "          dataTable['output_type'] = 'display_data';\n",
              "          await google.colab.output.renderOutput(dataTable, element);\n",
              "          const docLink = document.createElement('div');\n",
              "          docLink.innerHTML = docLinkHtml;\n",
              "          element.appendChild(docLink);\n",
              "        }\n",
              "      </script>\n",
              "    </div>\n",
              "  </div>\n",
              "  "
            ]
          },
          "metadata": {},
          "execution_count": 105
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "# concatenate dfs\n",
        "cities_df = pd.concat([us_cities, world_cities])\n",
        "cities_df.head(3)\n",
        "cities_df.tail(3)"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 143
        },
        "id": "4OF2RnHc4801",
        "outputId": "98e2f05e-4478-470b-8eff-b90ed4473eac"
      },
      "execution_count": 106,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "0             city abbv state_country      lat       lon population\n",
              "42903         Nord  GRL     Greenland  81.7166     -17.8         10\n",
              "42904  Timmiarmiut  GRL     Greenland  62.5333  -42.2167         10\n",
              "42905      Nordvik  RUS        Russia  74.0165    111.51          0"
            ],
            "text/html": [
              "\n",
              "  <div id=\"df-79e93594-62e5-4215-8450-3f6eb40ad770\">\n",
              "    <div class=\"colab-df-container\">\n",
              "      <div>\n",
              "<style scoped>\n",
              "    .dataframe tbody tr th:only-of-type {\n",
              "        vertical-align: middle;\n",
              "    }\n",
              "\n",
              "    .dataframe tbody tr th {\n",
              "        vertical-align: top;\n",
              "    }\n",
              "\n",
              "    .dataframe thead th {\n",
              "        text-align: right;\n",
              "    }\n",
              "</style>\n",
              "<table border=\"1\" class=\"dataframe\">\n",
              "  <thead>\n",
              "    <tr style=\"text-align: right;\">\n",
              "      <th></th>\n",
              "      <th>city</th>\n",
              "      <th>abbv</th>\n",
              "      <th>state_country</th>\n",
              "      <th>lat</th>\n",
              "      <th>lon</th>\n",
              "      <th>population</th>\n",
              "    </tr>\n",
              "  </thead>\n",
              "  <tbody>\n",
              "    <tr>\n",
              "      <th>42903</th>\n",
              "      <td>Nord</td>\n",
              "      <td>GRL</td>\n",
              "      <td>Greenland</td>\n",
              "      <td>81.7166</td>\n",
              "      <td>-17.8</td>\n",
              "      <td>10</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>42904</th>\n",
              "      <td>Timmiarmiut</td>\n",
              "      <td>GRL</td>\n",
              "      <td>Greenland</td>\n",
              "      <td>62.5333</td>\n",
              "      <td>-42.2167</td>\n",
              "      <td>10</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>42905</th>\n",
              "      <td>Nordvik</td>\n",
              "      <td>RUS</td>\n",
              "      <td>Russia</td>\n",
              "      <td>74.0165</td>\n",
              "      <td>111.51</td>\n",
              "      <td>0</td>\n",
              "    </tr>\n",
              "  </tbody>\n",
              "</table>\n",
              "</div>\n",
              "      <button class=\"colab-df-convert\" onclick=\"convertToInteractive('df-79e93594-62e5-4215-8450-3f6eb40ad770')\"\n",
              "              title=\"Convert this dataframe to an interactive table.\"\n",
              "              style=\"display:none;\">\n",
              "        \n",
              "  <svg xmlns=\"http://www.w3.org/2000/svg\" height=\"24px\"viewBox=\"0 0 24 24\"\n",
              "       width=\"24px\">\n",
              "    <path d=\"M0 0h24v24H0V0z\" fill=\"none\"/>\n",
              "    <path d=\"M18.56 5.44l.94 2.06.94-2.06 2.06-.94-2.06-.94-.94-2.06-.94 2.06-2.06.94zm-11 1L8.5 8.5l.94-2.06 2.06-.94-2.06-.94L8.5 2.5l-.94 2.06-2.06.94zm10 10l.94 2.06.94-2.06 2.06-.94-2.06-.94-.94-2.06-.94 2.06-2.06.94z\"/><path d=\"M17.41 7.96l-1.37-1.37c-.4-.4-.92-.59-1.43-.59-.52 0-1.04.2-1.43.59L10.3 9.45l-7.72 7.72c-.78.78-.78 2.05 0 2.83L4 21.41c.39.39.9.59 1.41.59.51 0 1.02-.2 1.41-.59l7.78-7.78 2.81-2.81c.8-.78.8-2.07 0-2.86zM5.41 20L4 18.59l7.72-7.72 1.47 1.35L5.41 20z\"/>\n",
              "  </svg>\n",
              "      </button>\n",
              "      \n",
              "  <style>\n",
              "    .colab-df-container {\n",
              "      display:flex;\n",
              "      flex-wrap:wrap;\n",
              "      gap: 12px;\n",
              "    }\n",
              "\n",
              "    .colab-df-convert {\n",
              "      background-color: #E8F0FE;\n",
              "      border: none;\n",
              "      border-radius: 50%;\n",
              "      cursor: pointer;\n",
              "      display: none;\n",
              "      fill: #1967D2;\n",
              "      height: 32px;\n",
              "      padding: 0 0 0 0;\n",
              "      width: 32px;\n",
              "    }\n",
              "\n",
              "    .colab-df-convert:hover {\n",
              "      background-color: #E2EBFA;\n",
              "      box-shadow: 0px 1px 2px rgba(60, 64, 67, 0.3), 0px 1px 3px 1px rgba(60, 64, 67, 0.15);\n",
              "      fill: #174EA6;\n",
              "    }\n",
              "\n",
              "    [theme=dark] .colab-df-convert {\n",
              "      background-color: #3B4455;\n",
              "      fill: #D2E3FC;\n",
              "    }\n",
              "\n",
              "    [theme=dark] .colab-df-convert:hover {\n",
              "      background-color: #434B5C;\n",
              "      box-shadow: 0px 1px 3px 1px rgba(0, 0, 0, 0.15);\n",
              "      filter: drop-shadow(0px 1px 2px rgba(0, 0, 0, 0.3));\n",
              "      fill: #FFFFFF;\n",
              "    }\n",
              "  </style>\n",
              "\n",
              "      <script>\n",
              "        const buttonEl =\n",
              "          document.querySelector('#df-79e93594-62e5-4215-8450-3f6eb40ad770 button.colab-df-convert');\n",
              "        buttonEl.style.display =\n",
              "          google.colab.kernel.accessAllowed ? 'block' : 'none';\n",
              "\n",
              "        async function convertToInteractive(key) {\n",
              "          const element = document.querySelector('#df-79e93594-62e5-4215-8450-3f6eb40ad770');\n",
              "          const dataTable =\n",
              "            await google.colab.kernel.invokeFunction('convertToInteractive',\n",
              "                                                     [key], {});\n",
              "          if (!dataTable) return;\n",
              "\n",
              "          const docLinkHtml = 'Like what you see? Visit the ' +\n",
              "            '<a target=\"_blank\" href=https://colab.research.google.com/notebooks/data_table.ipynb>data table notebook</a>'\n",
              "            + ' to learn more about interactive tables.';\n",
              "          element.innerHTML = '';\n",
              "          dataTable['output_type'] = 'display_data';\n",
              "          await google.colab.output.renderOutput(dataTable, element);\n",
              "          const docLink = document.createElement('div');\n",
              "          docLink.innerHTML = docLinkHtml;\n",
              "          element.appendChild(docLink);\n",
              "        }\n",
              "      </script>\n",
              "    </div>\n",
              "  </div>\n",
              "  "
            ]
          },
          "metadata": {},
          "execution_count": 106
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "location_df.head(10)"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 363
        },
        "id": "LC5suXQi5rGA",
        "outputId": "218b64e6-11ac-47ba-94b3-bf901f6f2965"
      },
      "execution_count": 107,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "         user_location  count\n",
              "0     sullivans island   1981\n",
              "1        united states    467\n",
              "2  binance smart chain    225\n",
              "3                  usa    198\n",
              "4                earth    188\n",
              "5         pennsylvania    168\n",
              "6               canada    146\n",
              "7                italy    137\n",
              "8            worldwide    133\n",
              "9               rdu nc    126"
            ],
            "text/html": [
              "\n",
              "  <div id=\"df-a1c190c7-46b9-4a22-a7bf-b8cc908b9695\">\n",
              "    <div class=\"colab-df-container\">\n",
              "      <div>\n",
              "<style scoped>\n",
              "    .dataframe tbody tr th:only-of-type {\n",
              "        vertical-align: middle;\n",
              "    }\n",
              "\n",
              "    .dataframe tbody tr th {\n",
              "        vertical-align: top;\n",
              "    }\n",
              "\n",
              "    .dataframe thead th {\n",
              "        text-align: right;\n",
              "    }\n",
              "</style>\n",
              "<table border=\"1\" class=\"dataframe\">\n",
              "  <thead>\n",
              "    <tr style=\"text-align: right;\">\n",
              "      <th></th>\n",
              "      <th>user_location</th>\n",
              "      <th>count</th>\n",
              "    </tr>\n",
              "  </thead>\n",
              "  <tbody>\n",
              "    <tr>\n",
              "      <th>0</th>\n",
              "      <td>sullivans island</td>\n",
              "      <td>1981</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>1</th>\n",
              "      <td>united states</td>\n",
              "      <td>467</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>2</th>\n",
              "      <td>binance smart chain</td>\n",
              "      <td>225</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>3</th>\n",
              "      <td>usa</td>\n",
              "      <td>198</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>4</th>\n",
              "      <td>earth</td>\n",
              "      <td>188</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>5</th>\n",
              "      <td>pennsylvania</td>\n",
              "      <td>168</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>6</th>\n",
              "      <td>canada</td>\n",
              "      <td>146</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>7</th>\n",
              "      <td>italy</td>\n",
              "      <td>137</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>8</th>\n",
              "      <td>worldwide</td>\n",
              "      <td>133</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>9</th>\n",
              "      <td>rdu nc</td>\n",
              "      <td>126</td>\n",
              "    </tr>\n",
              "  </tbody>\n",
              "</table>\n",
              "</div>\n",
              "      <button class=\"colab-df-convert\" onclick=\"convertToInteractive('df-a1c190c7-46b9-4a22-a7bf-b8cc908b9695')\"\n",
              "              title=\"Convert this dataframe to an interactive table.\"\n",
              "              style=\"display:none;\">\n",
              "        \n",
              "  <svg xmlns=\"http://www.w3.org/2000/svg\" height=\"24px\"viewBox=\"0 0 24 24\"\n",
              "       width=\"24px\">\n",
              "    <path d=\"M0 0h24v24H0V0z\" fill=\"none\"/>\n",
              "    <path d=\"M18.56 5.44l.94 2.06.94-2.06 2.06-.94-2.06-.94-.94-2.06-.94 2.06-2.06.94zm-11 1L8.5 8.5l.94-2.06 2.06-.94-2.06-.94L8.5 2.5l-.94 2.06-2.06.94zm10 10l.94 2.06.94-2.06 2.06-.94-2.06-.94-.94-2.06-.94 2.06-2.06.94z\"/><path d=\"M17.41 7.96l-1.37-1.37c-.4-.4-.92-.59-1.43-.59-.52 0-1.04.2-1.43.59L10.3 9.45l-7.72 7.72c-.78.78-.78 2.05 0 2.83L4 21.41c.39.39.9.59 1.41.59.51 0 1.02-.2 1.41-.59l7.78-7.78 2.81-2.81c.8-.78.8-2.07 0-2.86zM5.41 20L4 18.59l7.72-7.72 1.47 1.35L5.41 20z\"/>\n",
              "  </svg>\n",
              "      </button>\n",
              "      \n",
              "  <style>\n",
              "    .colab-df-container {\n",
              "      display:flex;\n",
              "      flex-wrap:wrap;\n",
              "      gap: 12px;\n",
              "    }\n",
              "\n",
              "    .colab-df-convert {\n",
              "      background-color: #E8F0FE;\n",
              "      border: none;\n",
              "      border-radius: 50%;\n",
              "      cursor: pointer;\n",
              "      display: none;\n",
              "      fill: #1967D2;\n",
              "      height: 32px;\n",
              "      padding: 0 0 0 0;\n",
              "      width: 32px;\n",
              "    }\n",
              "\n",
              "    .colab-df-convert:hover {\n",
              "      background-color: #E2EBFA;\n",
              "      box-shadow: 0px 1px 2px rgba(60, 64, 67, 0.3), 0px 1px 3px 1px rgba(60, 64, 67, 0.15);\n",
              "      fill: #174EA6;\n",
              "    }\n",
              "\n",
              "    [theme=dark] .colab-df-convert {\n",
              "      background-color: #3B4455;\n",
              "      fill: #D2E3FC;\n",
              "    }\n",
              "\n",
              "    [theme=dark] .colab-df-convert:hover {\n",
              "      background-color: #434B5C;\n",
              "      box-shadow: 0px 1px 3px 1px rgba(0, 0, 0, 0.15);\n",
              "      filter: drop-shadow(0px 1px 2px rgba(0, 0, 0, 0.3));\n",
              "      fill: #FFFFFF;\n",
              "    }\n",
              "  </style>\n",
              "\n",
              "      <script>\n",
              "        const buttonEl =\n",
              "          document.querySelector('#df-a1c190c7-46b9-4a22-a7bf-b8cc908b9695 button.colab-df-convert');\n",
              "        buttonEl.style.display =\n",
              "          google.colab.kernel.accessAllowed ? 'block' : 'none';\n",
              "\n",
              "        async function convertToInteractive(key) {\n",
              "          const element = document.querySelector('#df-a1c190c7-46b9-4a22-a7bf-b8cc908b9695');\n",
              "          const dataTable =\n",
              "            await google.colab.kernel.invokeFunction('convertToInteractive',\n",
              "                                                     [key], {});\n",
              "          if (!dataTable) return;\n",
              "\n",
              "          const docLinkHtml = 'Like what you see? Visit the ' +\n",
              "            '<a target=\"_blank\" href=https://colab.research.google.com/notebooks/data_table.ipynb>data table notebook</a>'\n",
              "            + ' to learn more about interactive tables.';\n",
              "          element.innerHTML = '';\n",
              "          dataTable['output_type'] = 'display_data';\n",
              "          await google.colab.output.renderOutput(dataTable, element);\n",
              "          const docLink = document.createElement('div');\n",
              "          docLink.innerHTML = docLinkHtml;\n",
              "          element.appendChild(docLink);\n",
              "        }\n",
              "      </script>\n",
              "    </div>\n",
              "  </div>\n",
              "  "
            ]
          },
          "metadata": {},
          "execution_count": 107
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "# def get_coordinates():\n",
        "\n",
        "\n",
        "# for i in location_df[0]:\n",
        "#   print(i)\n",
        "# state_cases = state_coor.join(mpx_cases.set_index('state'), on='state')\n"
      ],
      "metadata": {
        "id": "XyTvgx4M5rXb"
      },
      "execution_count": 108,
      "outputs": []
    },
    {
      "cell_type": "markdown",
      "source": [
        "### 5.6  Tweets by Date"
      ],
      "metadata": {
        "id": "HO5NKpEi3wSG"
      }
    },
    {
      "cell_type": "code",
      "source": [
        "date_df = pd.read_csv('/content/tweets.csv')"
      ],
      "metadata": {
        "id": "HbpPsySS4g3L"
      },
      "execution_count": 109,
      "outputs": []
    },
    {
      "cell_type": "code",
      "source": [
        "date_df.info()"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "22MXKt9Y8Lm4",
        "outputId": "5040c391-4968-4c48-f0b8-925f3bc6a28d"
      },
      "execution_count": 110,
      "outputs": [
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "<class 'pandas.core.frame.DataFrame'>\n",
            "RangeIndex: 28498 entries, 0 to 28497\n",
            "Data columns (total 6 columns):\n",
            " #   Column            Non-Null Count  Dtype \n",
            "---  ------            --------------  ----- \n",
            " 0   date              28498 non-null  object\n",
            " 1   user_screen_name  28498 non-null  object\n",
            " 2   text              28498 non-null  object\n",
            " 3   tweet_url         28498 non-null  object\n",
            " 4   user_location     13171 non-null  object\n",
            " 5   hashtags          2827 non-null   object\n",
            "dtypes: object(6)\n",
            "memory usage: 1.3+ MB\n"
          ]
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "date_df['date'] = pd.to_datetime(date_df['date'])\n",
        "date_df.info()"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "idokd5Qi6QJZ",
        "outputId": "505083c0-0a19-47f2-c1fd-71e9149bd0f0"
      },
      "execution_count": 111,
      "outputs": [
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "<class 'pandas.core.frame.DataFrame'>\n",
            "RangeIndex: 28498 entries, 0 to 28497\n",
            "Data columns (total 6 columns):\n",
            " #   Column            Non-Null Count  Dtype         \n",
            "---  ------            --------------  -----         \n",
            " 0   date              28498 non-null  datetime64[ns]\n",
            " 1   user_screen_name  28498 non-null  object        \n",
            " 2   text              28498 non-null  object        \n",
            " 3   tweet_url         28498 non-null  object        \n",
            " 4   user_location     13171 non-null  object        \n",
            " 5   hashtags          2827 non-null   object        \n",
            "dtypes: datetime64[ns](1), object(5)\n",
            "memory usage: 1.3+ MB\n"
          ]
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "# filter for tweets after May 2022\n",
        "date_df = date_df.loc[(date_df['date'] >= '2022-05-01')]\n",
        "date_df.head(2)"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 280
        },
        "id": "2FKn79w98LqZ",
        "outputId": "b74c85d6-c099-43b7-cb14-67672cd2a40d"
      },
      "execution_count": 112,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "          date user_screen_name  \\\n",
              "140 2022-05-06  Frobio_Vs_World   \n",
              "141 2022-05-06  PaulOli10130759   \n",
              "\n",
              "                                                                                                text  \\\n",
              "140                                                      Monkey pox the craziest name Ive ever heard   \n",
              "141  00DEZZ - Vaccine rollout for Monkey Pox \"Global Outbreak\". https://t.co/c3CSkbbLvZ via @YouTube   \n",
              "\n",
              "                                                          tweet_url  \\\n",
              "140  https://twitter.com/Frobio_Vs_World/status/1527392217291059203   \n",
              "141  https://twitter.com/PaulOli10130759/status/1528136037737938944   \n",
              "\n",
              "    user_location hashtags  \n",
              "140                    NaN  \n",
              "141           NaN      NaN  "
            ],
            "text/html": [
              "\n",
              "  <div id=\"df-3a3f9e52-29ec-481f-b524-645770dfb5b8\">\n",
              "    <div class=\"colab-df-container\">\n",
              "      <div>\n",
              "<style scoped>\n",
              "    .dataframe tbody tr th:only-of-type {\n",
              "        vertical-align: middle;\n",
              "    }\n",
              "\n",
              "    .dataframe tbody tr th {\n",
              "        vertical-align: top;\n",
              "    }\n",
              "\n",
              "    .dataframe thead th {\n",
              "        text-align: right;\n",
              "    }\n",
              "</style>\n",
              "<table border=\"1\" class=\"dataframe\">\n",
              "  <thead>\n",
              "    <tr style=\"text-align: right;\">\n",
              "      <th></th>\n",
              "      <th>date</th>\n",
              "      <th>user_screen_name</th>\n",
              "      <th>text</th>\n",
              "      <th>tweet_url</th>\n",
              "      <th>user_location</th>\n",
              "      <th>hashtags</th>\n",
              "    </tr>\n",
              "  </thead>\n",
              "  <tbody>\n",
              "    <tr>\n",
              "      <th>140</th>\n",
              "      <td>2022-05-06</td>\n",
              "      <td>Frobio_Vs_World</td>\n",
              "      <td>Monkey pox the craziest name Ive ever heard</td>\n",
              "      <td>https://twitter.com/Frobio_Vs_World/status/1527392217291059203</td>\n",
              "      <td></td>\n",
              "      <td>NaN</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>141</th>\n",
              "      <td>2022-05-06</td>\n",
              "      <td>PaulOli10130759</td>\n",
              "      <td>00DEZZ - Vaccine rollout for Monkey Pox \"Global Outbreak\". https://t.co/c3CSkbbLvZ via @YouTube</td>\n",
              "      <td>https://twitter.com/PaulOli10130759/status/1528136037737938944</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "    </tr>\n",
              "  </tbody>\n",
              "</table>\n",
              "</div>\n",
              "      <button class=\"colab-df-convert\" onclick=\"convertToInteractive('df-3a3f9e52-29ec-481f-b524-645770dfb5b8')\"\n",
              "              title=\"Convert this dataframe to an interactive table.\"\n",
              "              style=\"display:none;\">\n",
              "        \n",
              "  <svg xmlns=\"http://www.w3.org/2000/svg\" height=\"24px\"viewBox=\"0 0 24 24\"\n",
              "       width=\"24px\">\n",
              "    <path d=\"M0 0h24v24H0V0z\" fill=\"none\"/>\n",
              "    <path d=\"M18.56 5.44l.94 2.06.94-2.06 2.06-.94-2.06-.94-.94-2.06-.94 2.06-2.06.94zm-11 1L8.5 8.5l.94-2.06 2.06-.94-2.06-.94L8.5 2.5l-.94 2.06-2.06.94zm10 10l.94 2.06.94-2.06 2.06-.94-2.06-.94-.94-2.06-.94 2.06-2.06.94z\"/><path d=\"M17.41 7.96l-1.37-1.37c-.4-.4-.92-.59-1.43-.59-.52 0-1.04.2-1.43.59L10.3 9.45l-7.72 7.72c-.78.78-.78 2.05 0 2.83L4 21.41c.39.39.9.59 1.41.59.51 0 1.02-.2 1.41-.59l7.78-7.78 2.81-2.81c.8-.78.8-2.07 0-2.86zM5.41 20L4 18.59l7.72-7.72 1.47 1.35L5.41 20z\"/>\n",
              "  </svg>\n",
              "      </button>\n",
              "      \n",
              "  <style>\n",
              "    .colab-df-container {\n",
              "      display:flex;\n",
              "      flex-wrap:wrap;\n",
              "      gap: 12px;\n",
              "    }\n",
              "\n",
              "    .colab-df-convert {\n",
              "      background-color: #E8F0FE;\n",
              "      border: none;\n",
              "      border-radius: 50%;\n",
              "      cursor: pointer;\n",
              "      display: none;\n",
              "      fill: #1967D2;\n",
              "      height: 32px;\n",
              "      padding: 0 0 0 0;\n",
              "      width: 32px;\n",
              "    }\n",
              "\n",
              "    .colab-df-convert:hover {\n",
              "      background-color: #E2EBFA;\n",
              "      box-shadow: 0px 1px 2px rgba(60, 64, 67, 0.3), 0px 1px 3px 1px rgba(60, 64, 67, 0.15);\n",
              "      fill: #174EA6;\n",
              "    }\n",
              "\n",
              "    [theme=dark] .colab-df-convert {\n",
              "      background-color: #3B4455;\n",
              "      fill: #D2E3FC;\n",
              "    }\n",
              "\n",
              "    [theme=dark] .colab-df-convert:hover {\n",
              "      background-color: #434B5C;\n",
              "      box-shadow: 0px 1px 3px 1px rgba(0, 0, 0, 0.15);\n",
              "      filter: drop-shadow(0px 1px 2px rgba(0, 0, 0, 0.3));\n",
              "      fill: #FFFFFF;\n",
              "    }\n",
              "  </style>\n",
              "\n",
              "      <script>\n",
              "        const buttonEl =\n",
              "          document.querySelector('#df-3a3f9e52-29ec-481f-b524-645770dfb5b8 button.colab-df-convert');\n",
              "        buttonEl.style.display =\n",
              "          google.colab.kernel.accessAllowed ? 'block' : 'none';\n",
              "\n",
              "        async function convertToInteractive(key) {\n",
              "          const element = document.querySelector('#df-3a3f9e52-29ec-481f-b524-645770dfb5b8');\n",
              "          const dataTable =\n",
              "            await google.colab.kernel.invokeFunction('convertToInteractive',\n",
              "                                                     [key], {});\n",
              "          if (!dataTable) return;\n",
              "\n",
              "          const docLinkHtml = 'Like what you see? Visit the ' +\n",
              "            '<a target=\"_blank\" href=https://colab.research.google.com/notebooks/data_table.ipynb>data table notebook</a>'\n",
              "            + ' to learn more about interactive tables.';\n",
              "          element.innerHTML = '';\n",
              "          dataTable['output_type'] = 'display_data';\n",
              "          await google.colab.output.renderOutput(dataTable, element);\n",
              "          const docLink = document.createElement('div');\n",
              "          docLink.innerHTML = docLinkHtml;\n",
              "          element.appendChild(docLink);\n",
              "        }\n",
              "      </script>\n",
              "    </div>\n",
              "  </div>\n",
              "  "
            ]
          },
          "metadata": {},
          "execution_count": 112
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "date_df['tweets_per_day'] = date_df.groupby('date')['date'].transform('count')\n",
        "date_df = date_df[['date', 'tweets_per_day']]\n",
        "date_df.head(2)"
      ],
      "metadata": {
        "id": "0SIR857i8L14",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 112
        },
        "outputId": "bca1b4db-b8e4-40a0-e0d7-1a27eb2b8a28"
      },
      "execution_count": 113,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "          date  tweets_per_day\n",
              "140 2022-05-06             156\n",
              "141 2022-05-06             156"
            ],
            "text/html": [
              "\n",
              "  <div id=\"df-17b36d8f-9f4b-47c9-98d1-4f4373c425f8\">\n",
              "    <div class=\"colab-df-container\">\n",
              "      <div>\n",
              "<style scoped>\n",
              "    .dataframe tbody tr th:only-of-type {\n",
              "        vertical-align: middle;\n",
              "    }\n",
              "\n",
              "    .dataframe tbody tr th {\n",
              "        vertical-align: top;\n",
              "    }\n",
              "\n",
              "    .dataframe thead th {\n",
              "        text-align: right;\n",
              "    }\n",
              "</style>\n",
              "<table border=\"1\" class=\"dataframe\">\n",
              "  <thead>\n",
              "    <tr style=\"text-align: right;\">\n",
              "      <th></th>\n",
              "      <th>date</th>\n",
              "      <th>tweets_per_day</th>\n",
              "    </tr>\n",
              "  </thead>\n",
              "  <tbody>\n",
              "    <tr>\n",
              "      <th>140</th>\n",
              "      <td>2022-05-06</td>\n",
              "      <td>156</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>141</th>\n",
              "      <td>2022-05-06</td>\n",
              "      <td>156</td>\n",
              "    </tr>\n",
              "  </tbody>\n",
              "</table>\n",
              "</div>\n",
              "      <button class=\"colab-df-convert\" onclick=\"convertToInteractive('df-17b36d8f-9f4b-47c9-98d1-4f4373c425f8')\"\n",
              "              title=\"Convert this dataframe to an interactive table.\"\n",
              "              style=\"display:none;\">\n",
              "        \n",
              "  <svg xmlns=\"http://www.w3.org/2000/svg\" height=\"24px\"viewBox=\"0 0 24 24\"\n",
              "       width=\"24px\">\n",
              "    <path d=\"M0 0h24v24H0V0z\" fill=\"none\"/>\n",
              "    <path d=\"M18.56 5.44l.94 2.06.94-2.06 2.06-.94-2.06-.94-.94-2.06-.94 2.06-2.06.94zm-11 1L8.5 8.5l.94-2.06 2.06-.94-2.06-.94L8.5 2.5l-.94 2.06-2.06.94zm10 10l.94 2.06.94-2.06 2.06-.94-2.06-.94-.94-2.06-.94 2.06-2.06.94z\"/><path d=\"M17.41 7.96l-1.37-1.37c-.4-.4-.92-.59-1.43-.59-.52 0-1.04.2-1.43.59L10.3 9.45l-7.72 7.72c-.78.78-.78 2.05 0 2.83L4 21.41c.39.39.9.59 1.41.59.51 0 1.02-.2 1.41-.59l7.78-7.78 2.81-2.81c.8-.78.8-2.07 0-2.86zM5.41 20L4 18.59l7.72-7.72 1.47 1.35L5.41 20z\"/>\n",
              "  </svg>\n",
              "      </button>\n",
              "      \n",
              "  <style>\n",
              "    .colab-df-container {\n",
              "      display:flex;\n",
              "      flex-wrap:wrap;\n",
              "      gap: 12px;\n",
              "    }\n",
              "\n",
              "    .colab-df-convert {\n",
              "      background-color: #E8F0FE;\n",
              "      border: none;\n",
              "      border-radius: 50%;\n",
              "      cursor: pointer;\n",
              "      display: none;\n",
              "      fill: #1967D2;\n",
              "      height: 32px;\n",
              "      padding: 0 0 0 0;\n",
              "      width: 32px;\n",
              "    }\n",
              "\n",
              "    .colab-df-convert:hover {\n",
              "      background-color: #E2EBFA;\n",
              "      box-shadow: 0px 1px 2px rgba(60, 64, 67, 0.3), 0px 1px 3px 1px rgba(60, 64, 67, 0.15);\n",
              "      fill: #174EA6;\n",
              "    }\n",
              "\n",
              "    [theme=dark] .colab-df-convert {\n",
              "      background-color: #3B4455;\n",
              "      fill: #D2E3FC;\n",
              "    }\n",
              "\n",
              "    [theme=dark] .colab-df-convert:hover {\n",
              "      background-color: #434B5C;\n",
              "      box-shadow: 0px 1px 3px 1px rgba(0, 0, 0, 0.15);\n",
              "      filter: drop-shadow(0px 1px 2px rgba(0, 0, 0, 0.3));\n",
              "      fill: #FFFFFF;\n",
              "    }\n",
              "  </style>\n",
              "\n",
              "      <script>\n",
              "        const buttonEl =\n",
              "          document.querySelector('#df-17b36d8f-9f4b-47c9-98d1-4f4373c425f8 button.colab-df-convert');\n",
              "        buttonEl.style.display =\n",
              "          google.colab.kernel.accessAllowed ? 'block' : 'none';\n",
              "\n",
              "        async function convertToInteractive(key) {\n",
              "          const element = document.querySelector('#df-17b36d8f-9f4b-47c9-98d1-4f4373c425f8');\n",
              "          const dataTable =\n",
              "            await google.colab.kernel.invokeFunction('convertToInteractive',\n",
              "                                                     [key], {});\n",
              "          if (!dataTable) return;\n",
              "\n",
              "          const docLinkHtml = 'Like what you see? Visit the ' +\n",
              "            '<a target=\"_blank\" href=https://colab.research.google.com/notebooks/data_table.ipynb>data table notebook</a>'\n",
              "            + ' to learn more about interactive tables.';\n",
              "          element.innerHTML = '';\n",
              "          dataTable['output_type'] = 'display_data';\n",
              "          await google.colab.output.renderOutput(dataTable, element);\n",
              "          const docLink = document.createElement('div');\n",
              "          docLink.innerHTML = docLinkHtml;\n",
              "          element.appendChild(docLink);\n",
              "        }\n",
              "      </script>\n",
              "    </div>\n",
              "  </div>\n",
              "  "
            ]
          },
          "metadata": {},
          "execution_count": 113
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "date_df.info()"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "4tEBvFtaFVdQ",
        "outputId": "aa2c737e-805b-4dfe-e4aa-0c16957bc380"
      },
      "execution_count": 114,
      "outputs": [
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "<class 'pandas.core.frame.DataFrame'>\n",
            "Int64Index: 8510 entries, 140 to 28486\n",
            "Data columns (total 2 columns):\n",
            " #   Column          Non-Null Count  Dtype         \n",
            "---  ------          --------------  -----         \n",
            " 0   date            8510 non-null   datetime64[ns]\n",
            " 1   tweets_per_day  8510 non-null   int64         \n",
            "dtypes: datetime64[ns](1), int64(1)\n",
            "memory usage: 199.5 KB\n"
          ]
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "duplicateRows = date_df[date_df.duplicated()]\n",
        "duplicateRows"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 424
        },
        "id": "e8EF6fDeDqf4",
        "outputId": "c1783ec3-3c2f-4b86-9bce-fb3d93e3bc3d"
      },
      "execution_count": 115,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "            date  tweets_per_day\n",
              "141   2022-05-06             156\n",
              "142   2022-05-06             156\n",
              "143   2022-05-06             156\n",
              "144   2022-05-06             156\n",
              "145   2022-05-06             156\n",
              "...          ...             ...\n",
              "28471 2022-05-17             125\n",
              "28473 2022-07-07              70\n",
              "28476 2022-07-09             130\n",
              "28484 2022-05-04             165\n",
              "28486 2022-07-17              37\n",
              "\n",
              "[8426 rows x 2 columns]"
            ],
            "text/html": [
              "\n",
              "  <div id=\"df-7dc93bbf-40fb-4e2a-a77e-719f907cbe75\">\n",
              "    <div class=\"colab-df-container\">\n",
              "      <div>\n",
              "<style scoped>\n",
              "    .dataframe tbody tr th:only-of-type {\n",
              "        vertical-align: middle;\n",
              "    }\n",
              "\n",
              "    .dataframe tbody tr th {\n",
              "        vertical-align: top;\n",
              "    }\n",
              "\n",
              "    .dataframe thead th {\n",
              "        text-align: right;\n",
              "    }\n",
              "</style>\n",
              "<table border=\"1\" class=\"dataframe\">\n",
              "  <thead>\n",
              "    <tr style=\"text-align: right;\">\n",
              "      <th></th>\n",
              "      <th>date</th>\n",
              "      <th>tweets_per_day</th>\n",
              "    </tr>\n",
              "  </thead>\n",
              "  <tbody>\n",
              "    <tr>\n",
              "      <th>141</th>\n",
              "      <td>2022-05-06</td>\n",
              "      <td>156</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>142</th>\n",
              "      <td>2022-05-06</td>\n",
              "      <td>156</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>143</th>\n",
              "      <td>2022-05-06</td>\n",
              "      <td>156</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>144</th>\n",
              "      <td>2022-05-06</td>\n",
              "      <td>156</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>145</th>\n",
              "      <td>2022-05-06</td>\n",
              "      <td>156</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>...</th>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>28471</th>\n",
              "      <td>2022-05-17</td>\n",
              "      <td>125</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>28473</th>\n",
              "      <td>2022-07-07</td>\n",
              "      <td>70</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>28476</th>\n",
              "      <td>2022-07-09</td>\n",
              "      <td>130</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>28484</th>\n",
              "      <td>2022-05-04</td>\n",
              "      <td>165</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>28486</th>\n",
              "      <td>2022-07-17</td>\n",
              "      <td>37</td>\n",
              "    </tr>\n",
              "  </tbody>\n",
              "</table>\n",
              "<p>8426 rows × 2 columns</p>\n",
              "</div>\n",
              "      <button class=\"colab-df-convert\" onclick=\"convertToInteractive('df-7dc93bbf-40fb-4e2a-a77e-719f907cbe75')\"\n",
              "              title=\"Convert this dataframe to an interactive table.\"\n",
              "              style=\"display:none;\">\n",
              "        \n",
              "  <svg xmlns=\"http://www.w3.org/2000/svg\" height=\"24px\"viewBox=\"0 0 24 24\"\n",
              "       width=\"24px\">\n",
              "    <path d=\"M0 0h24v24H0V0z\" fill=\"none\"/>\n",
              "    <path d=\"M18.56 5.44l.94 2.06.94-2.06 2.06-.94-2.06-.94-.94-2.06-.94 2.06-2.06.94zm-11 1L8.5 8.5l.94-2.06 2.06-.94-2.06-.94L8.5 2.5l-.94 2.06-2.06.94zm10 10l.94 2.06.94-2.06 2.06-.94-2.06-.94-.94-2.06-.94 2.06-2.06.94z\"/><path d=\"M17.41 7.96l-1.37-1.37c-.4-.4-.92-.59-1.43-.59-.52 0-1.04.2-1.43.59L10.3 9.45l-7.72 7.72c-.78.78-.78 2.05 0 2.83L4 21.41c.39.39.9.59 1.41.59.51 0 1.02-.2 1.41-.59l7.78-7.78 2.81-2.81c.8-.78.8-2.07 0-2.86zM5.41 20L4 18.59l7.72-7.72 1.47 1.35L5.41 20z\"/>\n",
              "  </svg>\n",
              "      </button>\n",
              "      \n",
              "  <style>\n",
              "    .colab-df-container {\n",
              "      display:flex;\n",
              "      flex-wrap:wrap;\n",
              "      gap: 12px;\n",
              "    }\n",
              "\n",
              "    .colab-df-convert {\n",
              "      background-color: #E8F0FE;\n",
              "      border: none;\n",
              "      border-radius: 50%;\n",
              "      cursor: pointer;\n",
              "      display: none;\n",
              "      fill: #1967D2;\n",
              "      height: 32px;\n",
              "      padding: 0 0 0 0;\n",
              "      width: 32px;\n",
              "    }\n",
              "\n",
              "    .colab-df-convert:hover {\n",
              "      background-color: #E2EBFA;\n",
              "      box-shadow: 0px 1px 2px rgba(60, 64, 67, 0.3), 0px 1px 3px 1px rgba(60, 64, 67, 0.15);\n",
              "      fill: #174EA6;\n",
              "    }\n",
              "\n",
              "    [theme=dark] .colab-df-convert {\n",
              "      background-color: #3B4455;\n",
              "      fill: #D2E3FC;\n",
              "    }\n",
              "\n",
              "    [theme=dark] .colab-df-convert:hover {\n",
              "      background-color: #434B5C;\n",
              "      box-shadow: 0px 1px 3px 1px rgba(0, 0, 0, 0.15);\n",
              "      filter: drop-shadow(0px 1px 2px rgba(0, 0, 0, 0.3));\n",
              "      fill: #FFFFFF;\n",
              "    }\n",
              "  </style>\n",
              "\n",
              "      <script>\n",
              "        const buttonEl =\n",
              "          document.querySelector('#df-7dc93bbf-40fb-4e2a-a77e-719f907cbe75 button.colab-df-convert');\n",
              "        buttonEl.style.display =\n",
              "          google.colab.kernel.accessAllowed ? 'block' : 'none';\n",
              "\n",
              "        async function convertToInteractive(key) {\n",
              "          const element = document.querySelector('#df-7dc93bbf-40fb-4e2a-a77e-719f907cbe75');\n",
              "          const dataTable =\n",
              "            await google.colab.kernel.invokeFunction('convertToInteractive',\n",
              "                                                     [key], {});\n",
              "          if (!dataTable) return;\n",
              "\n",
              "          const docLinkHtml = 'Like what you see? Visit the ' +\n",
              "            '<a target=\"_blank\" href=https://colab.research.google.com/notebooks/data_table.ipynb>data table notebook</a>'\n",
              "            + ' to learn more about interactive tables.';\n",
              "          element.innerHTML = '';\n",
              "          dataTable['output_type'] = 'display_data';\n",
              "          await google.colab.output.renderOutput(dataTable, element);\n",
              "          const docLink = document.createElement('div');\n",
              "          docLink.innerHTML = docLinkHtml;\n",
              "          element.appendChild(docLink);\n",
              "        }\n",
              "      </script>\n",
              "    </div>\n",
              "  </div>\n",
              "  "
            ]
          },
          "metadata": {},
          "execution_count": 115
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "date_df.drop_duplicates(subset=None, inplace=True)"
      ],
      "metadata": {
        "id": "Ly9j-5h-Dcx6"
      },
      "execution_count": 116,
      "outputs": []
    },
    {
      "cell_type": "code",
      "source": [
        "date_df.info()"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "Jxpq0TocJjli",
        "outputId": "ece4cf5c-00f2-41ba-f508-fb5ba18d015c"
      },
      "execution_count": 117,
      "outputs": [
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "<class 'pandas.core.frame.DataFrame'>\n",
            "Int64Index: 84 entries, 140 to 22289\n",
            "Data columns (total 2 columns):\n",
            " #   Column          Non-Null Count  Dtype         \n",
            "---  ------          --------------  -----         \n",
            " 0   date            84 non-null     datetime64[ns]\n",
            " 1   tweets_per_day  84 non-null     int64         \n",
            "dtypes: datetime64[ns](1), int64(1)\n",
            "memory usage: 2.0 KB\n"
          ]
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "date_df = date_df.reset_index(drop=True)\n",
        "date_df"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 424
        },
        "id": "H3bpqUkWLqyR",
        "outputId": "5d6ce0dd-43ec-49ee-de31-ba2b26692968"
      },
      "execution_count": 118,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "         date  tweets_per_day\n",
              "0  2022-05-06             156\n",
              "1  2022-05-13             110\n",
              "2  2022-05-20             114\n",
              "3  2022-05-02             193\n",
              "4  2022-05-09             114\n",
              "..        ...             ...\n",
              "79 2022-07-19              50\n",
              "80 2022-07-20              33\n",
              "81 2022-07-21              52\n",
              "82 2022-07-22              36\n",
              "83 2022-07-23              64\n",
              "\n",
              "[84 rows x 2 columns]"
            ],
            "text/html": [
              "\n",
              "  <div id=\"df-89d048ea-1bb0-4d64-b94d-fb38f438b5d6\">\n",
              "    <div class=\"colab-df-container\">\n",
              "      <div>\n",
              "<style scoped>\n",
              "    .dataframe tbody tr th:only-of-type {\n",
              "        vertical-align: middle;\n",
              "    }\n",
              "\n",
              "    .dataframe tbody tr th {\n",
              "        vertical-align: top;\n",
              "    }\n",
              "\n",
              "    .dataframe thead th {\n",
              "        text-align: right;\n",
              "    }\n",
              "</style>\n",
              "<table border=\"1\" class=\"dataframe\">\n",
              "  <thead>\n",
              "    <tr style=\"text-align: right;\">\n",
              "      <th></th>\n",
              "      <th>date</th>\n",
              "      <th>tweets_per_day</th>\n",
              "    </tr>\n",
              "  </thead>\n",
              "  <tbody>\n",
              "    <tr>\n",
              "      <th>0</th>\n",
              "      <td>2022-05-06</td>\n",
              "      <td>156</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>1</th>\n",
              "      <td>2022-05-13</td>\n",
              "      <td>110</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>2</th>\n",
              "      <td>2022-05-20</td>\n",
              "      <td>114</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>3</th>\n",
              "      <td>2022-05-02</td>\n",
              "      <td>193</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>4</th>\n",
              "      <td>2022-05-09</td>\n",
              "      <td>114</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>...</th>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>79</th>\n",
              "      <td>2022-07-19</td>\n",
              "      <td>50</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>80</th>\n",
              "      <td>2022-07-20</td>\n",
              "      <td>33</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>81</th>\n",
              "      <td>2022-07-21</td>\n",
              "      <td>52</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>82</th>\n",
              "      <td>2022-07-22</td>\n",
              "      <td>36</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>83</th>\n",
              "      <td>2022-07-23</td>\n",
              "      <td>64</td>\n",
              "    </tr>\n",
              "  </tbody>\n",
              "</table>\n",
              "<p>84 rows × 2 columns</p>\n",
              "</div>\n",
              "      <button class=\"colab-df-convert\" onclick=\"convertToInteractive('df-89d048ea-1bb0-4d64-b94d-fb38f438b5d6')\"\n",
              "              title=\"Convert this dataframe to an interactive table.\"\n",
              "              style=\"display:none;\">\n",
              "        \n",
              "  <svg xmlns=\"http://www.w3.org/2000/svg\" height=\"24px\"viewBox=\"0 0 24 24\"\n",
              "       width=\"24px\">\n",
              "    <path d=\"M0 0h24v24H0V0z\" fill=\"none\"/>\n",
              "    <path d=\"M18.56 5.44l.94 2.06.94-2.06 2.06-.94-2.06-.94-.94-2.06-.94 2.06-2.06.94zm-11 1L8.5 8.5l.94-2.06 2.06-.94-2.06-.94L8.5 2.5l-.94 2.06-2.06.94zm10 10l.94 2.06.94-2.06 2.06-.94-2.06-.94-.94-2.06-.94 2.06-2.06.94z\"/><path d=\"M17.41 7.96l-1.37-1.37c-.4-.4-.92-.59-1.43-.59-.52 0-1.04.2-1.43.59L10.3 9.45l-7.72 7.72c-.78.78-.78 2.05 0 2.83L4 21.41c.39.39.9.59 1.41.59.51 0 1.02-.2 1.41-.59l7.78-7.78 2.81-2.81c.8-.78.8-2.07 0-2.86zM5.41 20L4 18.59l7.72-7.72 1.47 1.35L5.41 20z\"/>\n",
              "  </svg>\n",
              "      </button>\n",
              "      \n",
              "  <style>\n",
              "    .colab-df-container {\n",
              "      display:flex;\n",
              "      flex-wrap:wrap;\n",
              "      gap: 12px;\n",
              "    }\n",
              "\n",
              "    .colab-df-convert {\n",
              "      background-color: #E8F0FE;\n",
              "      border: none;\n",
              "      border-radius: 50%;\n",
              "      cursor: pointer;\n",
              "      display: none;\n",
              "      fill: #1967D2;\n",
              "      height: 32px;\n",
              "      padding: 0 0 0 0;\n",
              "      width: 32px;\n",
              "    }\n",
              "\n",
              "    .colab-df-convert:hover {\n",
              "      background-color: #E2EBFA;\n",
              "      box-shadow: 0px 1px 2px rgba(60, 64, 67, 0.3), 0px 1px 3px 1px rgba(60, 64, 67, 0.15);\n",
              "      fill: #174EA6;\n",
              "    }\n",
              "\n",
              "    [theme=dark] .colab-df-convert {\n",
              "      background-color: #3B4455;\n",
              "      fill: #D2E3FC;\n",
              "    }\n",
              "\n",
              "    [theme=dark] .colab-df-convert:hover {\n",
              "      background-color: #434B5C;\n",
              "      box-shadow: 0px 1px 3px 1px rgba(0, 0, 0, 0.15);\n",
              "      filter: drop-shadow(0px 1px 2px rgba(0, 0, 0, 0.3));\n",
              "      fill: #FFFFFF;\n",
              "    }\n",
              "  </style>\n",
              "\n",
              "      <script>\n",
              "        const buttonEl =\n",
              "          document.querySelector('#df-89d048ea-1bb0-4d64-b94d-fb38f438b5d6 button.colab-df-convert');\n",
              "        buttonEl.style.display =\n",
              "          google.colab.kernel.accessAllowed ? 'block' : 'none';\n",
              "\n",
              "        async function convertToInteractive(key) {\n",
              "          const element = document.querySelector('#df-89d048ea-1bb0-4d64-b94d-fb38f438b5d6');\n",
              "          const dataTable =\n",
              "            await google.colab.kernel.invokeFunction('convertToInteractive',\n",
              "                                                     [key], {});\n",
              "          if (!dataTable) return;\n",
              "\n",
              "          const docLinkHtml = 'Like what you see? Visit the ' +\n",
              "            '<a target=\"_blank\" href=https://colab.research.google.com/notebooks/data_table.ipynb>data table notebook</a>'\n",
              "            + ' to learn more about interactive tables.';\n",
              "          element.innerHTML = '';\n",
              "          dataTable['output_type'] = 'display_data';\n",
              "          await google.colab.output.renderOutput(dataTable, element);\n",
              "          const docLink = document.createElement('div');\n",
              "          docLink.innerHTML = docLinkHtml;\n",
              "          element.appendChild(docLink);\n",
              "        }\n",
              "      </script>\n",
              "    </div>\n",
              "  </div>\n",
              "  "
            ]
          },
          "metadata": {},
          "execution_count": 118
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "date_df.to_csv('/content/date_df.csv')"
      ],
      "metadata": {
        "id": "0ZKeAPkcOiqQ"
      },
      "execution_count": 119,
      "outputs": []
    },
    {
      "cell_type": "code",
      "source": [
        "# Plot top stations: Rolling mean number of entres vs stations\n",
        "\n",
        "plt.figure(figsize = (15,10))\n",
        "ax = sns.lineplot(data = date_df, x = 'date', y = 'tweets_per_day', color='blue')\n",
        "ax.set(title='Monkeypox Tweets by Date (May-July 2022')\n",
        "ax.set(xlabel=('Date'))\n",
        "ax.set(ylabel=('Num Tweets'))\n",
        "plt.savefig('Tweets by Date.png');"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 605
        },
        "id": "MhyyHkER3vs0",
        "outputId": "228820fd-1740-44b0-9aca-af0f3fd9e080"
      },
      "execution_count": 120,
      "outputs": [
        {
          "output_type": "display_data",
          "data": {
            "text/plain": [
              "<Figure size 1080x720 with 1 Axes>"
            ],
            "image/png": "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\n"
          },
          "metadata": {
            "needs_background": "light"
          }
        }
      ]
    },
    {
      "cell_type": "markdown",
      "source": [
        "# 6 | Deployment"
      ],
      "metadata": {
        "id": "3FwMqfy5dSsM"
      }
    },
    {
      "cell_type": "markdown",
      "source": [
        "Monkeypox Tweet Dashboard: https://slp22-data-engineering-project-streamlit-mpx-app-ckpzq2.streamlitapp.com/"
      ],
      "metadata": {
        "id": "XRtWhiYxeF7u"
      }
    }
  ],
  "metadata": {
    "colab": {
      "collapsed_sections": [],
      "provenance": [],
      "toc_visible": true,
      "include_colab_link": true
    },
    "kernelspec": {
      "display_name": "Python 3 (engineering)",
      "language": "python",
      "name": "engineering"
    },
    "language_info": {
      "codemirror_mode": {
        "name": "ipython",
        "version": 3
      },
      "file_extension": ".py",
      "mimetype": "text/x-python",
      "name": "python",
      "nbconvert_exporter": "python",
      "pygments_lexer": "ipython3",
      "version": "3.8.12"
    }
  },
  "nbformat": 4,
  "nbformat_minor": 0
}