Data_Circle_Code_Challenge.ipynb

{
  "cells": [
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "view-in-github",
        "colab_type": "text"
      },
      "source": [
        "<a href=\"https://colab.research.google.com/github/ReDI-School/F24-Berlin-Data-Circle/blob/main/Data_Circle_Code_Challenge.ipynb\" target=\"_parent\"><img src=\"https://colab.research.google.com/assets/colab-badge.svg\" alt=\"Open In Colab\"/></a>"
      ]
    },
    {
      "cell_type": "markdown",
      "id": "9b3b4ba6-3c1d-4afe-a479-b56f000ca04e",
      "metadata": {
        "id": "9b3b4ba6-3c1d-4afe-a479-b56f000ca04e"
      },
      "source": [
        "# Student Grades Analysis Challenge"
      ]
    },
    {
      "cell_type": "markdown",
      "id": "054a27c9-bda7-4a9d-8677-7f088c4ba6d0",
      "metadata": {
        "id": "054a27c9-bda7-4a9d-8677-7f088c4ba6d0"
      },
      "source": [
        "In this coding challenge, you will work with a dataset containing student grades across various subjects. Your task is to process and analyze this data to extract meaningful insights.\n",
        "\n",
        "Here's the data:\n",
        "\n",
        "```python\n",
        "[\n",
        "    {\"name\": \"Alice\", \"subject\": \"Math\", \"grade\": \"79\"},\n",
        "    {\"name\": \"Alice\", \"subject\": \"Science\", \"grade\": \"88\"},\n",
        "    {\"name\": \"Alice\", \"subject\": \"Arts\", \"grade\": \"50\"},\n",
        "    {\"name\": \"Bob\", \"subject\": \"Math\", \"grade\": \"78\"},\n",
        "    {\"name\": \"Bob\", \"subject\": \"Science\", \"grade\": \"84\"},\n",
        "    {\"name\": \"Bob\", \"subject\": \"Arts\", \"grade\": \"75\"},\n",
        "    {\"name\": \"Charlie\", \"subject\": \"Math\", \"grade\": \"88\"},\n",
        "    {\"name\": \"Charlie\", \"subject\": \"Science\", \"grade\": \"64\"},\n",
        "    {\"name\": \"Charlie\", \"subject\": \"Arts\", \"grade\": \"61\"},\n",
        "    {\"name\": \"Linda\", \"subject\": \"Math\", \"grade\": \"58\"},\n",
        "    {\"name\": \"Linda\", \"subject\": \"Science\", \"grade\": \"87\"},\n",
        "    {\"name\": \"Linda\", \"subject\": \"Arts\", \"grade\": \"80\"},\n",
        "    {\"name\": \"Maria\", \"subject\": \"Math\", \"grade\": \"64\"},\n",
        "    {\"name\": \"Maria\", \"subject\": \"Science\", \"grade\": \"75\"},\n",
        "    {\"name\": \"Maria\", \"subject\": \"Arts\", \"grade\": \"73\"}\n",
        "]\n",
        "```\n",
        "To complete the challenge, you may import any relevant libraries and check the official documentation.\n",
        "\n",
        "Need help? In this document you find more resources to complete the code challenge: [Code Challenge Resources](https://docs.google.com/document/d/1J4ipHRMGgMTsMPjxtjIFcdO6kS59khRH_WF6XjdHvng/edit?usp=sharing)."
      ]
    },
    {
      "cell_type": "markdown",
      "id": "033fa52a-08e3-427f-ad0d-8737ac63117b",
      "metadata": {
        "id": "033fa52a-08e3-427f-ad0d-8737ac63117b"
      },
      "source": [
        "## Tasks"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": null,
      "id": "56961242-b819-4d8c-93f4-c995d14701c0",
      "metadata": {
        "id": "56961242-b819-4d8c-93f4-c995d14701c0"
      },
      "outputs": [],
      "source": [
        "# Import libraries"
      ]
    },
    {
      "cell_type": "markdown",
      "id": "9271f6fe-72f8-4a6e-9579-19dd10280617",
      "metadata": {
        "id": "9271f6fe-72f8-4a6e-9579-19dd10280617"
      },
      "source": [
        "1. **Calculate the average grade of each student (or subject)**. You can choose how to output the result."
      ]
    },
    {
      "cell_type": "code",
      "execution_count": null,
      "id": "1964b113-f4d7-40f2-a102-439ebd2c896c",
      "metadata": {
        "id": "1964b113-f4d7-40f2-a102-439ebd2c896c",
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "outputId": "6e557fcc-3f25-440d-d5c0-df7d5dccecdf"
      },
      "outputs": [
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "Average grades by student:\n",
            "Alice: 72.33\n",
            "Bob: 79.00\n",
            "Charlie: 71.00\n",
            "Linda: 75.00\n",
            "Maria: 70.67\n",
            "\n",
            "Average grades by subject:\n",
            "Math: 73.40\n",
            "Science: 79.60\n",
            "Arts: 67.80\n"
          ]
        }
      ],
      "source": [
        "# Your code here\n"
      ]
    },
    {
      "cell_type": "markdown",
      "id": "d5a212a9-d3aa-4588-b8e7-1d1dab2cbcd3",
      "metadata": {
        "id": "d5a212a9-d3aa-4588-b8e7-1d1dab2cbcd3"
      },
      "source": [
        "2. **Load the dataset** into a pandas DataFrame."
      ]
    },
    {
      "cell_type": "code",
      "execution_count": null,
      "id": "41e6d8ba-73f7-4348-ba6d-a487d6531b94",
      "metadata": {
        "id": "41e6d8ba-73f7-4348-ba6d-a487d6531b94",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 519
        },
        "outputId": "ac86391f-c24a-4154-a572-be1f50c49408"
      },
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "       name  subject grade\n",
              "0     Alice     Math    79\n",
              "1     Alice  Science    88\n",
              "2     Alice     Arts    50\n",
              "3       Bob     Math    78\n",
              "4       Bob  Science    84\n",
              "5       Bob     Arts    75\n",
              "6   Charlie     Math    88\n",
              "7   Charlie  Science    64\n",
              "8   Charlie     Arts    61\n",
              "9     Linda     Math    58\n",
              "10    Linda  Science    87\n",
              "11    Linda     Arts    80\n",
              "12    Maria     Math    64\n",
              "13    Maria  Science    75\n",
              "14    Maria     Arts    73"
            ],
            "text/html": [
              "\n",
              "  <div id=\"df-02c2cdc9-8071-4268-b41e-549aab3e2428\" 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>name</th>\n",
              "      <th>subject</th>\n",
              "      <th>grade</th>\n",
              "    </tr>\n",
              "  </thead>\n",
              "  <tbody>\n",
              "    <tr>\n",
              "      <th>0</th>\n",
              "      <td>Alice</td>\n",
              "      <td>Math</td>\n",
              "      <td>79</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>1</th>\n",
              "      <td>Alice</td>\n",
              "      <td>Science</td>\n",
              "      <td>88</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>2</th>\n",
              "      <td>Alice</td>\n",
              "      <td>Arts</td>\n",
              "      <td>50</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>3</th>\n",
              "      <td>Bob</td>\n",
              "      <td>Math</td>\n",
              "      <td>78</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>4</th>\n",
              "      <td>Bob</td>\n",
              "      <td>Science</td>\n",
              "      <td>84</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>5</th>\n",
              "      <td>Bob</td>\n",
              "      <td>Arts</td>\n",
              "      <td>75</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>6</th>\n",
              "      <td>Charlie</td>\n",
              "      <td>Math</td>\n",
              "      <td>88</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>7</th>\n",
              "      <td>Charlie</td>\n",
              "      <td>Science</td>\n",
              "      <td>64</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>8</th>\n",
              "      <td>Charlie</td>\n",
              "      <td>Arts</td>\n",
              "      <td>61</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>9</th>\n",
              "      <td>Linda</td>\n",
              "      <td>Math</td>\n",
              "      <td>58</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>10</th>\n",
              "      <td>Linda</td>\n",
              "      <td>Science</td>\n",
              "      <td>87</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>11</th>\n",
              "      <td>Linda</td>\n",
              "      <td>Arts</td>\n",
              "      <td>80</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>12</th>\n",
              "      <td>Maria</td>\n",
              "      <td>Math</td>\n",
              "      <td>64</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>13</th>\n",
              "      <td>Maria</td>\n",
              "      <td>Science</td>\n",
              "      <td>75</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>14</th>\n",
              "      <td>Maria</td>\n",
              "      <td>Arts</td>\n",
              "      <td>73</td>\n",
              "    </tr>\n",
              "  </tbody>\n",
              "</table>\n",
              "</div>\n",
              "    <div class=\"colab-df-buttons\">\n",
              "\n",
              "  <div class=\"colab-df-container\">\n",
              "    <button class=\"colab-df-convert\" onclick=\"convertToInteractive('df-02c2cdc9-8071-4268-b41e-549aab3e2428')\"\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 -960 960 960\">\n",
              "    <path d=\"M120-120v-720h720v720H120Zm60-500h600v-160H180v160Zm220 220h160v-160H400v160Zm0 220h160v-160H400v160ZM180-400h160v-160H180v160Zm440 0h160v-160H620v160ZM180-180h160v-160H180v160Zm440 0h160v-160H620v160Z\"/>\n",
              "  </svg>\n",
              "    </button>\n",
              "\n",
              "  <style>\n",
              "    .colab-df-container {\n",
              "      display:flex;\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",
              "    .colab-df-buttons div {\n",
              "      margin-bottom: 4px;\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-02c2cdc9-8071-4268-b41e-549aab3e2428 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-02c2cdc9-8071-4268-b41e-549aab3e2428');\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",
              "\n",
              "\n",
              "<div id=\"df-80d0798f-66c2-4ac1-9ca9-39e302bd90d3\">\n",
              "  <button class=\"colab-df-quickchart\" onclick=\"quickchart('df-80d0798f-66c2-4ac1-9ca9-39e302bd90d3')\"\n",
              "            title=\"Suggest charts\"\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",
              "    <g>\n",
              "        <path d=\"M19 3H5c-1.1 0-2 .9-2 2v14c0 1.1.9 2 2 2h14c1.1 0 2-.9 2-2V5c0-1.1-.9-2-2-2zM9 17H7v-7h2v7zm4 0h-2V7h2v10zm4 0h-2v-4h2v4z\"/>\n",
              "    </g>\n",
              "</svg>\n",
              "  </button>\n",
              "\n",
              "<style>\n",
              "  .colab-df-quickchart {\n",
              "      --bg-color: #E8F0FE;\n",
              "      --fill-color: #1967D2;\n",
              "      --hover-bg-color: #E2EBFA;\n",
              "      --hover-fill-color: #174EA6;\n",
              "      --disabled-fill-color: #AAA;\n",
              "      --disabled-bg-color: #DDD;\n",
              "  }\n",
              "\n",
              "  [theme=dark] .colab-df-quickchart {\n",
              "      --bg-color: #3B4455;\n",
              "      --fill-color: #D2E3FC;\n",
              "      --hover-bg-color: #434B5C;\n",
              "      --hover-fill-color: #FFFFFF;\n",
              "      --disabled-bg-color: #3B4455;\n",
              "      --disabled-fill-color: #666;\n",
              "  }\n",
              "\n",
              "  .colab-df-quickchart {\n",
              "    background-color: var(--bg-color);\n",
              "    border: none;\n",
              "    border-radius: 50%;\n",
              "    cursor: pointer;\n",
              "    display: none;\n",
              "    fill: var(--fill-color);\n",
              "    height: 32px;\n",
              "    padding: 0;\n",
              "    width: 32px;\n",
              "  }\n",
              "\n",
              "  .colab-df-quickchart:hover {\n",
              "    background-color: var(--hover-bg-color);\n",
              "    box-shadow: 0 1px 2px rgba(60, 64, 67, 0.3), 0 1px 3px 1px rgba(60, 64, 67, 0.15);\n",
              "    fill: var(--button-hover-fill-color);\n",
              "  }\n",
              "\n",
              "  .colab-df-quickchart-complete:disabled,\n",
              "  .colab-df-quickchart-complete:disabled:hover {\n",
              "    background-color: var(--disabled-bg-color);\n",
              "    fill: var(--disabled-fill-color);\n",
              "    box-shadow: none;\n",
              "  }\n",
              "\n",
              "  .colab-df-spinner {\n",
              "    border: 2px solid var(--fill-color);\n",
              "    border-color: transparent;\n",
              "    border-bottom-color: var(--fill-color);\n",
              "    animation:\n",
              "      spin 1s steps(1) infinite;\n",
              "  }\n",
              "\n",
              "  @keyframes spin {\n",
              "    0% {\n",
              "      border-color: transparent;\n",
              "      border-bottom-color: var(--fill-color);\n",
              "      border-left-color: var(--fill-color);\n",
              "    }\n",
              "    20% {\n",
              "      border-color: transparent;\n",
              "      border-left-color: var(--fill-color);\n",
              "      border-top-color: var(--fill-color);\n",
              "    }\n",
              "    30% {\n",
              "      border-color: transparent;\n",
              "      border-left-color: var(--fill-color);\n",
              "      border-top-color: var(--fill-color);\n",
              "      border-right-color: var(--fill-color);\n",
              "    }\n",
              "    40% {\n",
              "      border-color: transparent;\n",
              "      border-right-color: var(--fill-color);\n",
              "      border-top-color: var(--fill-color);\n",
              "    }\n",
              "    60% {\n",
              "      border-color: transparent;\n",
              "      border-right-color: var(--fill-color);\n",
              "    }\n",
              "    80% {\n",
              "      border-color: transparent;\n",
              "      border-right-color: var(--fill-color);\n",
              "      border-bottom-color: var(--fill-color);\n",
              "    }\n",
              "    90% {\n",
              "      border-color: transparent;\n",
              "      border-bottom-color: var(--fill-color);\n",
              "    }\n",
              "  }\n",
              "</style>\n",
              "\n",
              "  <script>\n",
              "    async function quickchart(key) {\n",
              "      const quickchartButtonEl =\n",
              "        document.querySelector('#' + key + ' button');\n",
              "      quickchartButtonEl.disabled = true;  // To prevent multiple clicks.\n",
              "      quickchartButtonEl.classList.add('colab-df-spinner');\n",
              "      try {\n",
              "        const charts = await google.colab.kernel.invokeFunction(\n",
              "            'suggestCharts', [key], {});\n",
              "      } catch (error) {\n",
              "        console.error('Error during call to suggestCharts:', error);\n",
              "      }\n",
              "      quickchartButtonEl.classList.remove('colab-df-spinner');\n",
              "      quickchartButtonEl.classList.add('colab-df-quickchart-complete');\n",
              "    }\n",
              "    (() => {\n",
              "      let quickchartButtonEl =\n",
              "        document.querySelector('#df-80d0798f-66c2-4ac1-9ca9-39e302bd90d3 button');\n",
              "      quickchartButtonEl.style.display =\n",
              "        google.colab.kernel.accessAllowed ? 'block' : 'none';\n",
              "    })();\n",
              "  </script>\n",
              "</div>\n",
              "\n",
              "  <div id=\"id_83195289-f9d5-4200-9af2-2c9a85908e3f\">\n",
              "    <style>\n",
              "      .colab-df-generate {\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-generate: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-generate {\n",
              "        background-color: #3B4455;\n",
              "        fill: #D2E3FC;\n",
              "      }\n",
              "\n",
              "      [theme=dark] .colab-df-generate: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",
              "    <button class=\"colab-df-generate\" onclick=\"generateWithVariable('data')\"\n",
              "            title=\"Generate code using this dataframe.\"\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=\"M7,19H8.4L18.45,9,17,7.55,7,17.6ZM5,21V16.75L18.45,3.32a2,2,0,0,1,2.83,0l1.4,1.43a1.91,1.91,0,0,1,.58,1.4,1.91,1.91,0,0,1-.58,1.4L9.25,21ZM18.45,9,17,7.55Zm-12,3A5.31,5.31,0,0,0,4.9,8.1,5.31,5.31,0,0,0,1,6.5,5.31,5.31,0,0,0,4.9,4.9,5.31,5.31,0,0,0,6.5,1,5.31,5.31,0,0,0,8.1,4.9,5.31,5.31,0,0,0,12,6.5,5.46,5.46,0,0,0,6.5,12Z\"/>\n",
              "  </svg>\n",
              "    </button>\n",
              "    <script>\n",
              "      (() => {\n",
              "      const buttonEl =\n",
              "        document.querySelector('#id_83195289-f9d5-4200-9af2-2c9a85908e3f button.colab-df-generate');\n",
              "      buttonEl.style.display =\n",
              "        google.colab.kernel.accessAllowed ? 'block' : 'none';\n",
              "\n",
              "      buttonEl.onclick = () => {\n",
              "        google.colab.notebook.generateWithVariable('data');\n",
              "      }\n",
              "      })();\n",
              "    </script>\n",
              "  </div>\n",
              "\n",
              "    </div>\n",
              "  </div>\n"
            ],
            "application/vnd.google.colaboratory.intrinsic+json": {
              "type": "dataframe",
              "variable_name": "data",
              "summary": "{\n  \"name\": \"data\",\n  \"rows\": 15,\n  \"fields\": [\n    {\n      \"column\": \"name\",\n      \"properties\": {\n        \"dtype\": \"category\",\n        \"num_unique_values\": 5,\n        \"samples\": [\n          \"Bob\",\n          \"Maria\",\n          \"Charlie\"\n        ],\n        \"semantic_type\": \"\",\n        \"description\": \"\"\n      }\n    },\n    {\n      \"column\": \"subject\",\n      \"properties\": {\n        \"dtype\": \"category\",\n        \"num_unique_values\": 3,\n        \"samples\": [\n          \"Math\",\n          \"Science\",\n          \"Arts\"\n        ],\n        \"semantic_type\": \"\",\n        \"description\": \"\"\n      }\n    },\n    {\n      \"column\": \"grade\",\n      \"properties\": {\n        \"dtype\": \"string\",\n        \"num_unique_values\": 12,\n        \"samples\": [\n          \"80\",\n          \"87\",\n          \"79\"\n        ],\n        \"semantic_type\": \"\",\n        \"description\": \"\"\n      }\n    }\n  ]\n}"
            }
          },
          "metadata": {},
          "execution_count": 75
        }
      ],
      "source": [
        "# Your code here\n"
      ]
    },
    {
      "cell_type": "markdown",
      "id": "aa45436f-f681-46bf-8462-e4881c3eaec5",
      "metadata": {
        "id": "aa45436f-f681-46bf-8462-e4881c3eaec5"
      },
      "source": [
        "3. **Calculate the average grade** for each student and for each subject."
      ]
    },
    {
      "cell_type": "code",
      "execution_count": null,
      "id": "23e26d50-a163-44e7-8c14-35e494e2ea3a",
      "metadata": {
        "id": "23e26d50-a163-44e7-8c14-35e494e2ea3a",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 272
        },
        "outputId": "7a127a4a-3f73-4857-9d02-057296a44c75"
      },
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "name\n",
              "alice      72.333333\n",
              "bob        79.000000\n",
              "charlie    71.000000\n",
              "linda      75.000000\n",
              "maria      70.666667\n",
              "Name: grade, dtype: float64"
            ],
            "text/html": [
              "<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>grade</th>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>name</th>\n",
              "      <th></th>\n",
              "    </tr>\n",
              "  </thead>\n",
              "  <tbody>\n",
              "    <tr>\n",
              "      <th>alice</th>\n",
              "      <td>72.333333</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>bob</th>\n",
              "      <td>79.000000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>charlie</th>\n",
              "      <td>71.000000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>linda</th>\n",
              "      <td>75.000000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>maria</th>\n",
              "      <td>70.666667</td>\n",
              "    </tr>\n",
              "  </tbody>\n",
              "</table>\n",
              "</div><br><label><b>dtype:</b> float64</label>"
            ]
          },
          "metadata": {},
          "execution_count": 104
        }
      ],
      "source": [
        "# Your code here\n"
      ]
    },
    {
      "cell_type": "markdown",
      "id": "503670a8-56ca-4ca0-ba2b-7760c30abc80",
      "metadata": {
        "id": "503670a8-56ca-4ca0-ba2b-7760c30abc80"
      },
      "source": [
        "4. **Convert grade to letter grade:** Create a new column to convert the numerical grades into letter grades using the following scale:  \n",
        "   - A: 90 and above\n",
        "   - B: 80 to 89\n",
        "   - C: 70 to 79\n",
        "   - D: 60 to 69\n",
        "   - F: Below 60"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": null,
      "id": "d94ca2aa-8ea5-4ac3-8fe2-2234bcfd95f5",
      "metadata": {
        "id": "d94ca2aa-8ea5-4ac3-8fe2-2234bcfd95f5",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 519
        },
        "outputId": "5b65a888-b07a-4324-949c-10f34f9fdffe"
      },
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "       name  subject  grade letter_grade\n",
              "0     Alice     Math     79            C\n",
              "1     Alice  Science     88            B\n",
              "2     Alice     Arts     50            F\n",
              "3       Bob     Math     78            C\n",
              "4       Bob  Science     84            B\n",
              "5       Bob     Arts     75            C\n",
              "6   Charlie     Math     88            B\n",
              "7   Charlie  Science     64            D\n",
              "8   Charlie     Arts     61            D\n",
              "9     Linda     Math     58            F\n",
              "10    Linda  Science     87            B\n",
              "11    Linda     Arts     80            B\n",
              "12    Maria     Math     64            D\n",
              "13    Maria  Science     75            C\n",
              "14    Maria     Arts     73            C"
            ],
            "text/html": [
              "\n",
              "  <div id=\"df-707806a1-b3e9-4663-94cc-dc605ed7519d\" 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>name</th>\n",
              "      <th>subject</th>\n",
              "      <th>grade</th>\n",
              "      <th>letter_grade</th>\n",
              "    </tr>\n",
              "  </thead>\n",
              "  <tbody>\n",
              "    <tr>\n",
              "      <th>0</th>\n",
              "      <td>Alice</td>\n",
              "      <td>Math</td>\n",
              "      <td>79</td>\n",
              "      <td>C</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>1</th>\n",
              "      <td>Alice</td>\n",
              "      <td>Science</td>\n",
              "      <td>88</td>\n",
              "      <td>B</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>2</th>\n",
              "      <td>Alice</td>\n",
              "      <td>Arts</td>\n",
              "      <td>50</td>\n",
              "      <td>F</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>3</th>\n",
              "      <td>Bob</td>\n",
              "      <td>Math</td>\n",
              "      <td>78</td>\n",
              "      <td>C</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>4</th>\n",
              "      <td>Bob</td>\n",
              "      <td>Science</td>\n",
              "      <td>84</td>\n",
              "      <td>B</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>5</th>\n",
              "      <td>Bob</td>\n",
              "      <td>Arts</td>\n",
              "      <td>75</td>\n",
              "      <td>C</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>6</th>\n",
              "      <td>Charlie</td>\n",
              "      <td>Math</td>\n",
              "      <td>88</td>\n",
              "      <td>B</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>7</th>\n",
              "      <td>Charlie</td>\n",
              "      <td>Science</td>\n",
              "      <td>64</td>\n",
              "      <td>D</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>8</th>\n",
              "      <td>Charlie</td>\n",
              "      <td>Arts</td>\n",
              "      <td>61</td>\n",
              "      <td>D</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>9</th>\n",
              "      <td>Linda</td>\n",
              "      <td>Math</td>\n",
              "      <td>58</td>\n",
              "      <td>F</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>10</th>\n",
              "      <td>Linda</td>\n",
              "      <td>Science</td>\n",
              "      <td>87</td>\n",
              "      <td>B</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>11</th>\n",
              "      <td>Linda</td>\n",
              "      <td>Arts</td>\n",
              "      <td>80</td>\n",
              "      <td>B</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>12</th>\n",
              "      <td>Maria</td>\n",
              "      <td>Math</td>\n",
              "      <td>64</td>\n",
              "      <td>D</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>13</th>\n",
              "      <td>Maria</td>\n",
              "      <td>Science</td>\n",
              "      <td>75</td>\n",
              "      <td>C</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>14</th>\n",
              "      <td>Maria</td>\n",
              "      <td>Arts</td>\n",
              "      <td>73</td>\n",
              "      <td>C</td>\n",
              "    </tr>\n",
              "  </tbody>\n",
              "</table>\n",
              "</div>\n",
              "    <div class=\"colab-df-buttons\">\n",
              "\n",
              "  <div class=\"colab-df-container\">\n",
              "    <button class=\"colab-df-convert\" onclick=\"convertToInteractive('df-707806a1-b3e9-4663-94cc-dc605ed7519d')\"\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 -960 960 960\">\n",
              "    <path d=\"M120-120v-720h720v720H120Zm60-500h600v-160H180v160Zm220 220h160v-160H400v160Zm0 220h160v-160H400v160ZM180-400h160v-160H180v160Zm440 0h160v-160H620v160ZM180-180h160v-160H180v160Zm440 0h160v-160H620v160Z\"/>\n",
              "  </svg>\n",
              "    </button>\n",
              "\n",
              "  <style>\n",
              "    .colab-df-container {\n",
              "      display:flex;\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",
              "    .colab-df-buttons div {\n",
              "      margin-bottom: 4px;\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-707806a1-b3e9-4663-94cc-dc605ed7519d 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-707806a1-b3e9-4663-94cc-dc605ed7519d');\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",
              "\n",
              "\n",
              "<div id=\"df-c36ccc3d-bcca-4a61-bd7b-c7b52e87875f\">\n",
              "  <button class=\"colab-df-quickchart\" onclick=\"quickchart('df-c36ccc3d-bcca-4a61-bd7b-c7b52e87875f')\"\n",
              "            title=\"Suggest charts\"\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",
              "    <g>\n",
              "        <path d=\"M19 3H5c-1.1 0-2 .9-2 2v14c0 1.1.9 2 2 2h14c1.1 0 2-.9 2-2V5c0-1.1-.9-2-2-2zM9 17H7v-7h2v7zm4 0h-2V7h2v10zm4 0h-2v-4h2v4z\"/>\n",
              "    </g>\n",
              "</svg>\n",
              "  </button>\n",
              "\n",
              "<style>\n",
              "  .colab-df-quickchart {\n",
              "      --bg-color: #E8F0FE;\n",
              "      --fill-color: #1967D2;\n",
              "      --hover-bg-color: #E2EBFA;\n",
              "      --hover-fill-color: #174EA6;\n",
              "      --disabled-fill-color: #AAA;\n",
              "      --disabled-bg-color: #DDD;\n",
              "  }\n",
              "\n",
              "  [theme=dark] .colab-df-quickchart {\n",
              "      --bg-color: #3B4455;\n",
              "      --fill-color: #D2E3FC;\n",
              "      --hover-bg-color: #434B5C;\n",
              "      --hover-fill-color: #FFFFFF;\n",
              "      --disabled-bg-color: #3B4455;\n",
              "      --disabled-fill-color: #666;\n",
              "  }\n",
              "\n",
              "  .colab-df-quickchart {\n",
              "    background-color: var(--bg-color);\n",
              "    border: none;\n",
              "    border-radius: 50%;\n",
              "    cursor: pointer;\n",
              "    display: none;\n",
              "    fill: var(--fill-color);\n",
              "    height: 32px;\n",
              "    padding: 0;\n",
              "    width: 32px;\n",
              "  }\n",
              "\n",
              "  .colab-df-quickchart:hover {\n",
              "    background-color: var(--hover-bg-color);\n",
              "    box-shadow: 0 1px 2px rgba(60, 64, 67, 0.3), 0 1px 3px 1px rgba(60, 64, 67, 0.15);\n",
              "    fill: var(--button-hover-fill-color);\n",
              "  }\n",
              "\n",
              "  .colab-df-quickchart-complete:disabled,\n",
              "  .colab-df-quickchart-complete:disabled:hover {\n",
              "    background-color: var(--disabled-bg-color);\n",
              "    fill: var(--disabled-fill-color);\n",
              "    box-shadow: none;\n",
              "  }\n",
              "\n",
              "  .colab-df-spinner {\n",
              "    border: 2px solid var(--fill-color);\n",
              "    border-color: transparent;\n",
              "    border-bottom-color: var(--fill-color);\n",
              "    animation:\n",
              "      spin 1s steps(1) infinite;\n",
              "  }\n",
              "\n",
              "  @keyframes spin {\n",
              "    0% {\n",
              "      border-color: transparent;\n",
              "      border-bottom-color: var(--fill-color);\n",
              "      border-left-color: var(--fill-color);\n",
              "    }\n",
              "    20% {\n",
              "      border-color: transparent;\n",
              "      border-left-color: var(--fill-color);\n",
              "      border-top-color: var(--fill-color);\n",
              "    }\n",
              "    30% {\n",
              "      border-color: transparent;\n",
              "      border-left-color: var(--fill-color);\n",
              "      border-top-color: var(--fill-color);\n",
              "      border-right-color: var(--fill-color);\n",
              "    }\n",
              "    40% {\n",
              "      border-color: transparent;\n",
              "      border-right-color: var(--fill-color);\n",
              "      border-top-color: var(--fill-color);\n",
              "    }\n",
              "    60% {\n",
              "      border-color: transparent;\n",
              "      border-right-color: var(--fill-color);\n",
              "    }\n",
              "    80% {\n",
              "      border-color: transparent;\n",
              "      border-right-color: var(--fill-color);\n",
              "      border-bottom-color: var(--fill-color);\n",
              "    }\n",
              "    90% {\n",
              "      border-color: transparent;\n",
              "      border-bottom-color: var(--fill-color);\n",
              "    }\n",
              "  }\n",
              "</style>\n",
              "\n",
              "  <script>\n",
              "    async function quickchart(key) {\n",
              "      const quickchartButtonEl =\n",
              "        document.querySelector('#' + key + ' button');\n",
              "      quickchartButtonEl.disabled = true;  // To prevent multiple clicks.\n",
              "      quickchartButtonEl.classList.add('colab-df-spinner');\n",
              "      try {\n",
              "        const charts = await google.colab.kernel.invokeFunction(\n",
              "            'suggestCharts', [key], {});\n",
              "      } catch (error) {\n",
              "        console.error('Error during call to suggestCharts:', error);\n",
              "      }\n",
              "      quickchartButtonEl.classList.remove('colab-df-spinner');\n",
              "      quickchartButtonEl.classList.add('colab-df-quickchart-complete');\n",
              "    }\n",
              "    (() => {\n",
              "      let quickchartButtonEl =\n",
              "        document.querySelector('#df-c36ccc3d-bcca-4a61-bd7b-c7b52e87875f button');\n",
              "      quickchartButtonEl.style.display =\n",
              "        google.colab.kernel.accessAllowed ? 'block' : 'none';\n",
              "    })();\n",
              "  </script>\n",
              "</div>\n",
              "\n",
              "  <div id=\"id_72ca9a37-447a-4d59-ba77-cb4d5afa88ca\">\n",
              "    <style>\n",
              "      .colab-df-generate {\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-generate: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-generate {\n",
              "        background-color: #3B4455;\n",
              "        fill: #D2E3FC;\n",
              "      }\n",
              "\n",
              "      [theme=dark] .colab-df-generate: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",
              "    <button class=\"colab-df-generate\" onclick=\"generateWithVariable('data')\"\n",
              "            title=\"Generate code using this dataframe.\"\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=\"M7,19H8.4L18.45,9,17,7.55,7,17.6ZM5,21V16.75L18.45,3.32a2,2,0,0,1,2.83,0l1.4,1.43a1.91,1.91,0,0,1,.58,1.4,1.91,1.91,0,0,1-.58,1.4L9.25,21ZM18.45,9,17,7.55Zm-12,3A5.31,5.31,0,0,0,4.9,8.1,5.31,5.31,0,0,0,1,6.5,5.31,5.31,0,0,0,4.9,4.9,5.31,5.31,0,0,0,6.5,1,5.31,5.31,0,0,0,8.1,4.9,5.31,5.31,0,0,0,12,6.5,5.46,5.46,0,0,0,6.5,12Z\"/>\n",
              "  </svg>\n",
              "    </button>\n",
              "    <script>\n",
              "      (() => {\n",
              "      const buttonEl =\n",
              "        document.querySelector('#id_72ca9a37-447a-4d59-ba77-cb4d5afa88ca button.colab-df-generate');\n",
              "      buttonEl.style.display =\n",
              "        google.colab.kernel.accessAllowed ? 'block' : 'none';\n",
              "\n",
              "      buttonEl.onclick = () => {\n",
              "        google.colab.notebook.generateWithVariable('data');\n",
              "      }\n",
              "      })();\n",
              "    </script>\n",
              "  </div>\n",
              "\n",
              "    </div>\n",
              "  </div>\n"
            ],
            "application/vnd.google.colaboratory.intrinsic+json": {
              "type": "dataframe",
              "variable_name": "data",
              "summary": "{\n  \"name\": \"data\",\n  \"rows\": 15,\n  \"fields\": [\n    {\n      \"column\": \"name\",\n      \"properties\": {\n        \"dtype\": \"category\",\n        \"num_unique_values\": 5,\n        \"samples\": [\n          \"Bob\",\n          \"Maria\",\n          \"Charlie\"\n        ],\n        \"semantic_type\": \"\",\n        \"description\": \"\"\n      }\n    },\n    {\n      \"column\": \"subject\",\n      \"properties\": {\n        \"dtype\": \"category\",\n        \"num_unique_values\": 3,\n        \"samples\": [\n          \"Math\",\n          \"Science\",\n          \"Arts\"\n        ],\n        \"semantic_type\": \"\",\n        \"description\": \"\"\n      }\n    },\n    {\n      \"column\": \"grade\",\n      \"properties\": {\n        \"dtype\": \"number\",\n        \"std\": 11,\n        \"min\": 50,\n        \"max\": 88,\n        \"num_unique_values\": 12,\n        \"samples\": [\n          80,\n          87,\n          79\n        ],\n        \"semantic_type\": \"\",\n        \"description\": \"\"\n      }\n    },\n    {\n      \"column\": \"letter_grade\",\n      \"properties\": {\n        \"dtype\": \"category\",\n        \"num_unique_values\": 4,\n        \"samples\": [\n          \"B\",\n          \"D\",\n          \"C\"\n        ],\n        \"semantic_type\": \"\",\n        \"description\": \"\"\n      }\n    }\n  ]\n}"
            }
          },
          "metadata": {},
          "execution_count": 86
        }
      ],
      "source": [
        "# Your code here"
      ]
    },
    {
      "cell_type": "markdown",
      "id": "dabe8e2f-823f-49cd-900d-25a9a4801a6e",
      "metadata": {
        "id": "dabe8e2f-823f-49cd-900d-25a9a4801a6e"
      },
      "source": [
        "5. **Determine student status:** Add another column indicating the status of each student based on their grade:  \n",
        "   - \"Passed\" if the grade is 60 or above (or not 'F')\n",
        "   - \"Failed\" if the grade is below 60 (or 'F')"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": null,
      "id": "8ae8797d-3c3f-4f15-b1a3-d708f3c2294f",
      "metadata": {
        "id": "8ae8797d-3c3f-4f15-b1a3-d708f3c2294f",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 519
        },
        "outputId": "849cb633-07cc-47cb-9167-935f610329cd"
      },
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "       name  subject  grade letter_grade  status\n",
              "0     Alice     Math     79            C  Passed\n",
              "1     Alice  Science     88            B  Passed\n",
              "2     Alice     Arts     50            F  Failed\n",
              "3       Bob     Math     78            C  Passed\n",
              "4       Bob  Science     84            B  Passed\n",
              "5       Bob     Arts     75            C  Passed\n",
              "6   Charlie     Math     88            B  Passed\n",
              "7   Charlie  Science     64            D  Passed\n",
              "8   Charlie     Arts     61            D  Passed\n",
              "9     Linda     Math     58            F  Failed\n",
              "10    Linda  Science     87            B  Passed\n",
              "11    Linda     Arts     80            B  Passed\n",
              "12    Maria     Math     64            D  Passed\n",
              "13    Maria  Science     75            C  Passed\n",
              "14    Maria     Arts     73            C  Passed"
            ],
            "text/html": [
              "\n",
              "  <div id=\"df-6bb212e8-7ee1-4745-a972-8bf0d6cd8d7d\" 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>name</th>\n",
              "      <th>subject</th>\n",
              "      <th>grade</th>\n",
              "      <th>letter_grade</th>\n",
              "      <th>status</th>\n",
              "    </tr>\n",
              "  </thead>\n",
              "  <tbody>\n",
              "    <tr>\n",
              "      <th>0</th>\n",
              "      <td>Alice</td>\n",
              "      <td>Math</td>\n",
              "      <td>79</td>\n",
              "      <td>C</td>\n",
              "      <td>Passed</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>1</th>\n",
              "      <td>Alice</td>\n",
              "      <td>Science</td>\n",
              "      <td>88</td>\n",
              "      <td>B</td>\n",
              "      <td>Passed</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>2</th>\n",
              "      <td>Alice</td>\n",
              "      <td>Arts</td>\n",
              "      <td>50</td>\n",
              "      <td>F</td>\n",
              "      <td>Failed</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>3</th>\n",
              "      <td>Bob</td>\n",
              "      <td>Math</td>\n",
              "      <td>78</td>\n",
              "      <td>C</td>\n",
              "      <td>Passed</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>4</th>\n",
              "      <td>Bob</td>\n",
              "      <td>Science</td>\n",
              "      <td>84</td>\n",
              "      <td>B</td>\n",
              "      <td>Passed</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>5</th>\n",
              "      <td>Bob</td>\n",
              "      <td>Arts</td>\n",
              "      <td>75</td>\n",
              "      <td>C</td>\n",
              "      <td>Passed</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>6</th>\n",
              "      <td>Charlie</td>\n",
              "      <td>Math</td>\n",
              "      <td>88</td>\n",
              "      <td>B</td>\n",
              "      <td>Passed</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>7</th>\n",
              "      <td>Charlie</td>\n",
              "      <td>Science</td>\n",
              "      <td>64</td>\n",
              "      <td>D</td>\n",
              "      <td>Passed</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>8</th>\n",
              "      <td>Charlie</td>\n",
              "      <td>Arts</td>\n",
              "      <td>61</td>\n",
              "      <td>D</td>\n",
              "      <td>Passed</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>9</th>\n",
              "      <td>Linda</td>\n",
              "      <td>Math</td>\n",
              "      <td>58</td>\n",
              "      <td>F</td>\n",
              "      <td>Failed</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>10</th>\n",
              "      <td>Linda</td>\n",
              "      <td>Science</td>\n",
              "      <td>87</td>\n",
              "      <td>B</td>\n",
              "      <td>Passed</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>11</th>\n",
              "      <td>Linda</td>\n",
              "      <td>Arts</td>\n",
              "      <td>80</td>\n",
              "      <td>B</td>\n",
              "      <td>Passed</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>12</th>\n",
              "      <td>Maria</td>\n",
              "      <td>Math</td>\n",
              "      <td>64</td>\n",
              "      <td>D</td>\n",
              "      <td>Passed</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>13</th>\n",
              "      <td>Maria</td>\n",
              "      <td>Science</td>\n",
              "      <td>75</td>\n",
              "      <td>C</td>\n",
              "      <td>Passed</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>14</th>\n",
              "      <td>Maria</td>\n",
              "      <td>Arts</td>\n",
              "      <td>73</td>\n",
              "      <td>C</td>\n",
              "      <td>Passed</td>\n",
              "    </tr>\n",
              "  </tbody>\n",
              "</table>\n",
              "</div>\n",
              "    <div class=\"colab-df-buttons\">\n",
              "\n",
              "  <div class=\"colab-df-container\">\n",
              "    <button class=\"colab-df-convert\" onclick=\"convertToInteractive('df-6bb212e8-7ee1-4745-a972-8bf0d6cd8d7d')\"\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 -960 960 960\">\n",
              "    <path d=\"M120-120v-720h720v720H120Zm60-500h600v-160H180v160Zm220 220h160v-160H400v160Zm0 220h160v-160H400v160ZM180-400h160v-160H180v160Zm440 0h160v-160H620v160ZM180-180h160v-160H180v160Zm440 0h160v-160H620v160Z\"/>\n",
              "  </svg>\n",
              "    </button>\n",
              "\n",
              "  <style>\n",
              "    .colab-df-container {\n",
              "      display:flex;\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",
              "    .colab-df-buttons div {\n",
              "      margin-bottom: 4px;\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-6bb212e8-7ee1-4745-a972-8bf0d6cd8d7d 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-6bb212e8-7ee1-4745-a972-8bf0d6cd8d7d');\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",
              "\n",
              "\n",
              "<div id=\"df-8f7bd3df-288a-4bf7-bb4a-2a826b233f0a\">\n",
              "  <button class=\"colab-df-quickchart\" onclick=\"quickchart('df-8f7bd3df-288a-4bf7-bb4a-2a826b233f0a')\"\n",
              "            title=\"Suggest charts\"\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",
              "    <g>\n",
              "        <path d=\"M19 3H5c-1.1 0-2 .9-2 2v14c0 1.1.9 2 2 2h14c1.1 0 2-.9 2-2V5c0-1.1-.9-2-2-2zM9 17H7v-7h2v7zm4 0h-2V7h2v10zm4 0h-2v-4h2v4z\"/>\n",
              "    </g>\n",
              "</svg>\n",
              "  </button>\n",
              "\n",
              "<style>\n",
              "  .colab-df-quickchart {\n",
              "      --bg-color: #E8F0FE;\n",
              "      --fill-color: #1967D2;\n",
              "      --hover-bg-color: #E2EBFA;\n",
              "      --hover-fill-color: #174EA6;\n",
              "      --disabled-fill-color: #AAA;\n",
              "      --disabled-bg-color: #DDD;\n",
              "  }\n",
              "\n",
              "  [theme=dark] .colab-df-quickchart {\n",
              "      --bg-color: #3B4455;\n",
              "      --fill-color: #D2E3FC;\n",
              "      --hover-bg-color: #434B5C;\n",
              "      --hover-fill-color: #FFFFFF;\n",
              "      --disabled-bg-color: #3B4455;\n",
              "      --disabled-fill-color: #666;\n",
              "  }\n",
              "\n",
              "  .colab-df-quickchart {\n",
              "    background-color: var(--bg-color);\n",
              "    border: none;\n",
              "    border-radius: 50%;\n",
              "    cursor: pointer;\n",
              "    display: none;\n",
              "    fill: var(--fill-color);\n",
              "    height: 32px;\n",
              "    padding: 0;\n",
              "    width: 32px;\n",
              "  }\n",
              "\n",
              "  .colab-df-quickchart:hover {\n",
              "    background-color: var(--hover-bg-color);\n",
              "    box-shadow: 0 1px 2px rgba(60, 64, 67, 0.3), 0 1px 3px 1px rgba(60, 64, 67, 0.15);\n",
              "    fill: var(--button-hover-fill-color);\n",
              "  }\n",
              "\n",
              "  .colab-df-quickchart-complete:disabled,\n",
              "  .colab-df-quickchart-complete:disabled:hover {\n",
              "    background-color: var(--disabled-bg-color);\n",
              "    fill: var(--disabled-fill-color);\n",
              "    box-shadow: none;\n",
              "  }\n",
              "\n",
              "  .colab-df-spinner {\n",
              "    border: 2px solid var(--fill-color);\n",
              "    border-color: transparent;\n",
              "    border-bottom-color: var(--fill-color);\n",
              "    animation:\n",
              "      spin 1s steps(1) infinite;\n",
              "  }\n",
              "\n",
              "  @keyframes spin {\n",
              "    0% {\n",
              "      border-color: transparent;\n",
              "      border-bottom-color: var(--fill-color);\n",
              "      border-left-color: var(--fill-color);\n",
              "    }\n",
              "    20% {\n",
              "      border-color: transparent;\n",
              "      border-left-color: var(--fill-color);\n",
              "      border-top-color: var(--fill-color);\n",
              "    }\n",
              "    30% {\n",
              "      border-color: transparent;\n",
              "      border-left-color: var(--fill-color);\n",
              "      border-top-color: var(--fill-color);\n",
              "      border-right-color: var(--fill-color);\n",
              "    }\n",
              "    40% {\n",
              "      border-color: transparent;\n",
              "      border-right-color: var(--fill-color);\n",
              "      border-top-color: var(--fill-color);\n",
              "    }\n",
              "    60% {\n",
              "      border-color: transparent;\n",
              "      border-right-color: var(--fill-color);\n",
              "    }\n",
              "    80% {\n",
              "      border-color: transparent;\n",
              "      border-right-color: var(--fill-color);\n",
              "      border-bottom-color: var(--fill-color);\n",
              "    }\n",
              "    90% {\n",
              "      border-color: transparent;\n",
              "      border-bottom-color: var(--fill-color);\n",
              "    }\n",
              "  }\n",
              "</style>\n",
              "\n",
              "  <script>\n",
              "    async function quickchart(key) {\n",
              "      const quickchartButtonEl =\n",
              "        document.querySelector('#' + key + ' button');\n",
              "      quickchartButtonEl.disabled = true;  // To prevent multiple clicks.\n",
              "      quickchartButtonEl.classList.add('colab-df-spinner');\n",
              "      try {\n",
              "        const charts = await google.colab.kernel.invokeFunction(\n",
              "            'suggestCharts', [key], {});\n",
              "      } catch (error) {\n",
              "        console.error('Error during call to suggestCharts:', error);\n",
              "      }\n",
              "      quickchartButtonEl.classList.remove('colab-df-spinner');\n",
              "      quickchartButtonEl.classList.add('colab-df-quickchart-complete');\n",
              "    }\n",
              "    (() => {\n",
              "      let quickchartButtonEl =\n",
              "        document.querySelector('#df-8f7bd3df-288a-4bf7-bb4a-2a826b233f0a button');\n",
              "      quickchartButtonEl.style.display =\n",
              "        google.colab.kernel.accessAllowed ? 'block' : 'none';\n",
              "    })();\n",
              "  </script>\n",
              "</div>\n",
              "\n",
              "  <div id=\"id_3992986d-4f67-4f1a-9351-419c6cfa5f9d\">\n",
              "    <style>\n",
              "      .colab-df-generate {\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-generate: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-generate {\n",
              "        background-color: #3B4455;\n",
              "        fill: #D2E3FC;\n",
              "      }\n",
              "\n",
              "      [theme=dark] .colab-df-generate: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",
              "    <button class=\"colab-df-generate\" onclick=\"generateWithVariable('data')\"\n",
              "            title=\"Generate code using this dataframe.\"\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=\"M7,19H8.4L18.45,9,17,7.55,7,17.6ZM5,21V16.75L18.45,3.32a2,2,0,0,1,2.83,0l1.4,1.43a1.91,1.91,0,0,1,.58,1.4,1.91,1.91,0,0,1-.58,1.4L9.25,21ZM18.45,9,17,7.55Zm-12,3A5.31,5.31,0,0,0,4.9,8.1,5.31,5.31,0,0,0,1,6.5,5.31,5.31,0,0,0,4.9,4.9,5.31,5.31,0,0,0,6.5,1,5.31,5.31,0,0,0,8.1,4.9,5.31,5.31,0,0,0,12,6.5,5.46,5.46,0,0,0,6.5,12Z\"/>\n",
              "  </svg>\n",
              "    </button>\n",
              "    <script>\n",
              "      (() => {\n",
              "      const buttonEl =\n",
              "        document.querySelector('#id_3992986d-4f67-4f1a-9351-419c6cfa5f9d button.colab-df-generate');\n",
              "      buttonEl.style.display =\n",
              "        google.colab.kernel.accessAllowed ? 'block' : 'none';\n",
              "\n",
              "      buttonEl.onclick = () => {\n",
              "        google.colab.notebook.generateWithVariable('data');\n",
              "      }\n",
              "      })();\n",
              "    </script>\n",
              "  </div>\n",
              "\n",
              "    </div>\n",
              "  </div>\n"
            ],
            "application/vnd.google.colaboratory.intrinsic+json": {
              "type": "dataframe",
              "variable_name": "data",
              "summary": "{\n  \"name\": \"data\",\n  \"rows\": 15,\n  \"fields\": [\n    {\n      \"column\": \"name\",\n      \"properties\": {\n        \"dtype\": \"category\",\n        \"num_unique_values\": 5,\n        \"samples\": [\n          \"Bob\",\n          \"Maria\",\n          \"Charlie\"\n        ],\n        \"semantic_type\": \"\",\n        \"description\": \"\"\n      }\n    },\n    {\n      \"column\": \"subject\",\n      \"properties\": {\n        \"dtype\": \"category\",\n        \"num_unique_values\": 3,\n        \"samples\": [\n          \"Math\",\n          \"Science\",\n          \"Arts\"\n        ],\n        \"semantic_type\": \"\",\n        \"description\": \"\"\n      }\n    },\n    {\n      \"column\": \"grade\",\n      \"properties\": {\n        \"dtype\": \"number\",\n        \"std\": 11,\n        \"min\": 50,\n        \"max\": 88,\n        \"num_unique_values\": 12,\n        \"samples\": [\n          80,\n          87,\n          79\n        ],\n        \"semantic_type\": \"\",\n        \"description\": \"\"\n      }\n    },\n    {\n      \"column\": \"letter_grade\",\n      \"properties\": {\n        \"dtype\": \"category\",\n        \"num_unique_values\": 4,\n        \"samples\": [\n          \"B\",\n          \"D\",\n          \"C\"\n        ],\n        \"semantic_type\": \"\",\n        \"description\": \"\"\n      }\n    },\n    {\n      \"column\": \"status\",\n      \"properties\": {\n        \"dtype\": \"category\",\n        \"num_unique_values\": 2,\n        \"samples\": [\n          \"Failed\",\n          \"Passed\"\n        ],\n        \"semantic_type\": \"\",\n        \"description\": \"\"\n      }\n    }\n  ]\n}"
            }
          },
          "metadata": {},
          "execution_count": 88
        }
      ],
      "source": [
        "# Your code here"
      ]
    },
    {
      "cell_type": "markdown",
      "id": "9333bb84-a069-40ec-b9d2-e7660a67c251",
      "metadata": {
        "id": "9333bb84-a069-40ec-b9d2-e7660a67c251"
      },
      "source": [
        "6. **Filter and display** only the students who have failed.  "
      ]
    },
    {
      "cell_type": "code",
      "execution_count": null,
      "id": "9bc7c287-62c3-4938-bc8f-1e77b4817508",
      "metadata": {
        "id": "9bc7c287-62c3-4938-bc8f-1e77b4817508",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 112
        },
        "outputId": "62b64fbe-c74e-4feb-e669-a43e31327e17"
      },
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "    name subject  grade letter_grade  status\n",
              "2  Alice    Arts     50            F  Failed\n",
              "9  Linda    Math     58            F  Failed"
            ],
            "text/html": [
              "\n",
              "  <div id=\"df-2c498e47-cc43-4188-a018-ce7745942a14\" 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>name</th>\n",
              "      <th>subject</th>\n",
              "      <th>grade</th>\n",
              "      <th>letter_grade</th>\n",
              "      <th>status</th>\n",
              "    </tr>\n",
              "  </thead>\n",
              "  <tbody>\n",
              "    <tr>\n",
              "      <th>2</th>\n",
              "      <td>Alice</td>\n",
              "      <td>Arts</td>\n",
              "      <td>50</td>\n",
              "      <td>F</td>\n",
              "      <td>Failed</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>9</th>\n",
              "      <td>Linda</td>\n",
              "      <td>Math</td>\n",
              "      <td>58</td>\n",
              "      <td>F</td>\n",
              "      <td>Failed</td>\n",
              "    </tr>\n",
              "  </tbody>\n",
              "</table>\n",
              "</div>\n",
              "    <div class=\"colab-df-buttons\">\n",
              "\n",
              "  <div class=\"colab-df-container\">\n",
              "    <button class=\"colab-df-convert\" onclick=\"convertToInteractive('df-2c498e47-cc43-4188-a018-ce7745942a14')\"\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 -960 960 960\">\n",
              "    <path d=\"M120-120v-720h720v720H120Zm60-500h600v-160H180v160Zm220 220h160v-160H400v160Zm0 220h160v-160H400v160ZM180-400h160v-160H180v160Zm440 0h160v-160H620v160ZM180-180h160v-160H180v160Zm440 0h160v-160H620v160Z\"/>\n",
              "  </svg>\n",
              "    </button>\n",
              "\n",
              "  <style>\n",
              "    .colab-df-container {\n",
              "      display:flex;\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",
              "    .colab-df-buttons div {\n",
              "      margin-bottom: 4px;\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-2c498e47-cc43-4188-a018-ce7745942a14 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-2c498e47-cc43-4188-a018-ce7745942a14');\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",
              "\n",
              "\n",
              "<div id=\"df-8396579c-0235-45ab-9289-aee24f259ad9\">\n",
              "  <button class=\"colab-df-quickchart\" onclick=\"quickchart('df-8396579c-0235-45ab-9289-aee24f259ad9')\"\n",
              "            title=\"Suggest charts\"\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",
              "    <g>\n",
              "        <path d=\"M19 3H5c-1.1 0-2 .9-2 2v14c0 1.1.9 2 2 2h14c1.1 0 2-.9 2-2V5c0-1.1-.9-2-2-2zM9 17H7v-7h2v7zm4 0h-2V7h2v10zm4 0h-2v-4h2v4z\"/>\n",
              "    </g>\n",
              "</svg>\n",
              "  </button>\n",
              "\n",
              "<style>\n",
              "  .colab-df-quickchart {\n",
              "      --bg-color: #E8F0FE;\n",
              "      --fill-color: #1967D2;\n",
              "      --hover-bg-color: #E2EBFA;\n",
              "      --hover-fill-color: #174EA6;\n",
              "      --disabled-fill-color: #AAA;\n",
              "      --disabled-bg-color: #DDD;\n",
              "  }\n",
              "\n",
              "  [theme=dark] .colab-df-quickchart {\n",
              "      --bg-color: #3B4455;\n",
              "      --fill-color: #D2E3FC;\n",
              "      --hover-bg-color: #434B5C;\n",
              "      --hover-fill-color: #FFFFFF;\n",
              "      --disabled-bg-color: #3B4455;\n",
              "      --disabled-fill-color: #666;\n",
              "  }\n",
              "\n",
              "  .colab-df-quickchart {\n",
              "    background-color: var(--bg-color);\n",
              "    border: none;\n",
              "    border-radius: 50%;\n",
              "    cursor: pointer;\n",
              "    display: none;\n",
              "    fill: var(--fill-color);\n",
              "    height: 32px;\n",
              "    padding: 0;\n",
              "    width: 32px;\n",
              "  }\n",
              "\n",
              "  .colab-df-quickchart:hover {\n",
              "    background-color: var(--hover-bg-color);\n",
              "    box-shadow: 0 1px 2px rgba(60, 64, 67, 0.3), 0 1px 3px 1px rgba(60, 64, 67, 0.15);\n",
              "    fill: var(--button-hover-fill-color);\n",
              "  }\n",
              "\n",
              "  .colab-df-quickchart-complete:disabled,\n",
              "  .colab-df-quickchart-complete:disabled:hover {\n",
              "    background-color: var(--disabled-bg-color);\n",
              "    fill: var(--disabled-fill-color);\n",
              "    box-shadow: none;\n",
              "  }\n",
              "\n",
              "  .colab-df-spinner {\n",
              "    border: 2px solid var(--fill-color);\n",
              "    border-color: transparent;\n",
              "    border-bottom-color: var(--fill-color);\n",
              "    animation:\n",
              "      spin 1s steps(1) infinite;\n",
              "  }\n",
              "\n",
              "  @keyframes spin {\n",
              "    0% {\n",
              "      border-color: transparent;\n",
              "      border-bottom-color: var(--fill-color);\n",
              "      border-left-color: var(--fill-color);\n",
              "    }\n",
              "    20% {\n",
              "      border-color: transparent;\n",
              "      border-left-color: var(--fill-color);\n",
              "      border-top-color: var(--fill-color);\n",
              "    }\n",
              "    30% {\n",
              "      border-color: transparent;\n",
              "      border-left-color: var(--fill-color);\n",
              "      border-top-color: var(--fill-color);\n",
              "      border-right-color: var(--fill-color);\n",
              "    }\n",
              "    40% {\n",
              "      border-color: transparent;\n",
              "      border-right-color: var(--fill-color);\n",
              "      border-top-color: var(--fill-color);\n",
              "    }\n",
              "    60% {\n",
              "      border-color: transparent;\n",
              "      border-right-color: var(--fill-color);\n",
              "    }\n",
              "    80% {\n",
              "      border-color: transparent;\n",
              "      border-right-color: var(--fill-color);\n",
              "      border-bottom-color: var(--fill-color);\n",
              "    }\n",
              "    90% {\n",
              "      border-color: transparent;\n",
              "      border-bottom-color: var(--fill-color);\n",
              "    }\n",
              "  }\n",
              "</style>\n",
              "\n",
              "  <script>\n",
              "    async function quickchart(key) {\n",
              "      const quickchartButtonEl =\n",
              "        document.querySelector('#' + key + ' button');\n",
              "      quickchartButtonEl.disabled = true;  // To prevent multiple clicks.\n",
              "      quickchartButtonEl.classList.add('colab-df-spinner');\n",
              "      try {\n",
              "        const charts = await google.colab.kernel.invokeFunction(\n",
              "            'suggestCharts', [key], {});\n",
              "      } catch (error) {\n",
              "        console.error('Error during call to suggestCharts:', error);\n",
              "      }\n",
              "      quickchartButtonEl.classList.remove('colab-df-spinner');\n",
              "      quickchartButtonEl.classList.add('colab-df-quickchart-complete');\n",
              "    }\n",
              "    (() => {\n",
              "      let quickchartButtonEl =\n",
              "        document.querySelector('#df-8396579c-0235-45ab-9289-aee24f259ad9 button');\n",
              "      quickchartButtonEl.style.display =\n",
              "        google.colab.kernel.accessAllowed ? 'block' : 'none';\n",
              "    })();\n",
              "  </script>\n",
              "</div>\n",
              "\n",
              "    </div>\n",
              "  </div>\n"
            ],
            "application/vnd.google.colaboratory.intrinsic+json": {
              "type": "dataframe",
              "summary": "{\n  \"name\": \"data[data['status']=='Failed']\",\n  \"rows\": 2,\n  \"fields\": [\n    {\n      \"column\": \"name\",\n      \"properties\": {\n        \"dtype\": \"string\",\n        \"num_unique_values\": 2,\n        \"samples\": [\n          \"Linda\",\n          \"Alice\"\n        ],\n        \"semantic_type\": \"\",\n        \"description\": \"\"\n      }\n    },\n    {\n      \"column\": \"subject\",\n      \"properties\": {\n        \"dtype\": \"string\",\n        \"num_unique_values\": 2,\n        \"samples\": [\n          \"Math\",\n          \"Arts\"\n        ],\n        \"semantic_type\": \"\",\n        \"description\": \"\"\n      }\n    },\n    {\n      \"column\": \"grade\",\n      \"properties\": {\n        \"dtype\": \"number\",\n        \"std\": 5,\n        \"min\": 50,\n        \"max\": 58,\n        \"num_unique_values\": 2,\n        \"samples\": [\n          58,\n          50\n        ],\n        \"semantic_type\": \"\",\n        \"description\": \"\"\n      }\n    },\n    {\n      \"column\": \"letter_grade\",\n      \"properties\": {\n        \"dtype\": \"string\",\n        \"num_unique_values\": 1,\n        \"samples\": [\n          \"F\"\n        ],\n        \"semantic_type\": \"\",\n        \"description\": \"\"\n      }\n    },\n    {\n      \"column\": \"status\",\n      \"properties\": {\n        \"dtype\": \"string\",\n        \"num_unique_values\": 1,\n        \"samples\": [\n          \"Failed\"\n        ],\n        \"semantic_type\": \"\",\n        \"description\": \"\"\n      }\n    }\n  ]\n}"
            }
          },
          "metadata": {},
          "execution_count": 90
        }
      ],
      "source": [
        "# Your code here\n"
      ]
    },
    {
      "cell_type": "markdown",
      "id": "2e39c196-5f29-4d0d-85df-376ec95ca75a",
      "metadata": {
        "id": "2e39c196-5f29-4d0d-85df-376ec95ca75a"
      },
      "source": [
        "7. *\\[BONUS\\]* **Standardize text data:** Convert all strings in the `'name'` and `'subject'` columns to lowercase."
      ]
    },
    {
      "cell_type": "code",
      "execution_count": null,
      "id": "532bec3e-9b4a-4714-bfa6-5ca311b701a1",
      "metadata": {
        "id": "532bec3e-9b4a-4714-bfa6-5ca311b701a1",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 519
        },
        "outputId": "9d9adb08-cb8b-47f0-91be-32dd2e2a069d"
      },
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "       name  subject  grade letter_grade  status\n",
              "0     alice     math     79            C  Passed\n",
              "1     alice  science     88            B  Passed\n",
              "2     alice     arts     50            F  Failed\n",
              "3       bob     math     78            C  Passed\n",
              "4       bob  science     84            B  Passed\n",
              "5       bob     arts     75            C  Passed\n",
              "6   charlie     math     88            B  Passed\n",
              "7   charlie  science     64            D  Passed\n",
              "8   charlie     arts     61            D  Passed\n",
              "9     linda     math     58            F  Failed\n",
              "10    linda  science     87            B  Passed\n",
              "11    linda     arts     80            B  Passed\n",
              "12    maria     math     64            D  Passed\n",
              "13    maria  science     75            C  Passed\n",
              "14    maria     arts     73            C  Passed"
            ],
            "text/html": [
              "\n",
              "  <div id=\"df-cfd17490-ca19-461f-9386-584eae0a66a6\" 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>name</th>\n",
              "      <th>subject</th>\n",
              "      <th>grade</th>\n",
              "      <th>letter_grade</th>\n",
              "      <th>status</th>\n",
              "    </tr>\n",
              "  </thead>\n",
              "  <tbody>\n",
              "    <tr>\n",
              "      <th>0</th>\n",
              "      <td>alice</td>\n",
              "      <td>math</td>\n",
              "      <td>79</td>\n",
              "      <td>C</td>\n",
              "      <td>Passed</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>1</th>\n",
              "      <td>alice</td>\n",
              "      <td>science</td>\n",
              "      <td>88</td>\n",
              "      <td>B</td>\n",
              "      <td>Passed</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>2</th>\n",
              "      <td>alice</td>\n",
              "      <td>arts</td>\n",
              "      <td>50</td>\n",
              "      <td>F</td>\n",
              "      <td>Failed</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>3</th>\n",
              "      <td>bob</td>\n",
              "      <td>math</td>\n",
              "      <td>78</td>\n",
              "      <td>C</td>\n",
              "      <td>Passed</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>4</th>\n",
              "      <td>bob</td>\n",
              "      <td>science</td>\n",
              "      <td>84</td>\n",
              "      <td>B</td>\n",
              "      <td>Passed</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>5</th>\n",
              "      <td>bob</td>\n",
              "      <td>arts</td>\n",
              "      <td>75</td>\n",
              "      <td>C</td>\n",
              "      <td>Passed</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>6</th>\n",
              "      <td>charlie</td>\n",
              "      <td>math</td>\n",
              "      <td>88</td>\n",
              "      <td>B</td>\n",
              "      <td>Passed</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>7</th>\n",
              "      <td>charlie</td>\n",
              "      <td>science</td>\n",
              "      <td>64</td>\n",
              "      <td>D</td>\n",
              "      <td>Passed</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>8</th>\n",
              "      <td>charlie</td>\n",
              "      <td>arts</td>\n",
              "      <td>61</td>\n",
              "      <td>D</td>\n",
              "      <td>Passed</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>9</th>\n",
              "      <td>linda</td>\n",
              "      <td>math</td>\n",
              "      <td>58</td>\n",
              "      <td>F</td>\n",
              "      <td>Failed</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>10</th>\n",
              "      <td>linda</td>\n",
              "      <td>science</td>\n",
              "      <td>87</td>\n",
              "      <td>B</td>\n",
              "      <td>Passed</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>11</th>\n",
              "      <td>linda</td>\n",
              "      <td>arts</td>\n",
              "      <td>80</td>\n",
              "      <td>B</td>\n",
              "      <td>Passed</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>12</th>\n",
              "      <td>maria</td>\n",
              "      <td>math</td>\n",
              "      <td>64</td>\n",
              "      <td>D</td>\n",
              "      <td>Passed</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>13</th>\n",
              "      <td>maria</td>\n",
              "      <td>science</td>\n",
              "      <td>75</td>\n",
              "      <td>C</td>\n",
              "      <td>Passed</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>14</th>\n",
              "      <td>maria</td>\n",
              "      <td>arts</td>\n",
              "      <td>73</td>\n",
              "      <td>C</td>\n",
              "      <td>Passed</td>\n",
              "    </tr>\n",
              "  </tbody>\n",
              "</table>\n",
              "</div>\n",
              "    <div class=\"colab-df-buttons\">\n",
              "\n",
              "  <div class=\"colab-df-container\">\n",
              "    <button class=\"colab-df-convert\" onclick=\"convertToInteractive('df-cfd17490-ca19-461f-9386-584eae0a66a6')\"\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 -960 960 960\">\n",
              "    <path d=\"M120-120v-720h720v720H120Zm60-500h600v-160H180v160Zm220 220h160v-160H400v160Zm0 220h160v-160H400v160ZM180-400h160v-160H180v160Zm440 0h160v-160H620v160ZM180-180h160v-160H180v160Zm440 0h160v-160H620v160Z\"/>\n",
              "  </svg>\n",
              "    </button>\n",
              "\n",
              "  <style>\n",
              "    .colab-df-container {\n",
              "      display:flex;\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",
              "    .colab-df-buttons div {\n",
              "      margin-bottom: 4px;\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-cfd17490-ca19-461f-9386-584eae0a66a6 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-cfd17490-ca19-461f-9386-584eae0a66a6');\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",
              "\n",
              "\n",
              "<div id=\"df-6143512e-ab76-4de6-93ee-df8c7c1d7fbd\">\n",
              "  <button class=\"colab-df-quickchart\" onclick=\"quickchart('df-6143512e-ab76-4de6-93ee-df8c7c1d7fbd')\"\n",
              "            title=\"Suggest charts\"\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",
              "    <g>\n",
              "        <path d=\"M19 3H5c-1.1 0-2 .9-2 2v14c0 1.1.9 2 2 2h14c1.1 0 2-.9 2-2V5c0-1.1-.9-2-2-2zM9 17H7v-7h2v7zm4 0h-2V7h2v10zm4 0h-2v-4h2v4z\"/>\n",
              "    </g>\n",
              "</svg>\n",
              "  </button>\n",
              "\n",
              "<style>\n",
              "  .colab-df-quickchart {\n",
              "      --bg-color: #E8F0FE;\n",
              "      --fill-color: #1967D2;\n",
              "      --hover-bg-color: #E2EBFA;\n",
              "      --hover-fill-color: #174EA6;\n",
              "      --disabled-fill-color: #AAA;\n",
              "      --disabled-bg-color: #DDD;\n",
              "  }\n",
              "\n",
              "  [theme=dark] .colab-df-quickchart {\n",
              "      --bg-color: #3B4455;\n",
              "      --fill-color: #D2E3FC;\n",
              "      --hover-bg-color: #434B5C;\n",
              "      --hover-fill-color: #FFFFFF;\n",
              "      --disabled-bg-color: #3B4455;\n",
              "      --disabled-fill-color: #666;\n",
              "  }\n",
              "\n",
              "  .colab-df-quickchart {\n",
              "    background-color: var(--bg-color);\n",
              "    border: none;\n",
              "    border-radius: 50%;\n",
              "    cursor: pointer;\n",
              "    display: none;\n",
              "    fill: var(--fill-color);\n",
              "    height: 32px;\n",
              "    padding: 0;\n",
              "    width: 32px;\n",
              "  }\n",
              "\n",
              "  .colab-df-quickchart:hover {\n",
              "    background-color: var(--hover-bg-color);\n",
              "    box-shadow: 0 1px 2px rgba(60, 64, 67, 0.3), 0 1px 3px 1px rgba(60, 64, 67, 0.15);\n",
              "    fill: var(--button-hover-fill-color);\n",
              "  }\n",
              "\n",
              "  .colab-df-quickchart-complete:disabled,\n",
              "  .colab-df-quickchart-complete:disabled:hover {\n",
              "    background-color: var(--disabled-bg-color);\n",
              "    fill: var(--disabled-fill-color);\n",
              "    box-shadow: none;\n",
              "  }\n",
              "\n",
              "  .colab-df-spinner {\n",
              "    border: 2px solid var(--fill-color);\n",
              "    border-color: transparent;\n",
              "    border-bottom-color: var(--fill-color);\n",
              "    animation:\n",
              "      spin 1s steps(1) infinite;\n",
              "  }\n",
              "\n",
              "  @keyframes spin {\n",
              "    0% {\n",
              "      border-color: transparent;\n",
              "      border-bottom-color: var(--fill-color);\n",
              "      border-left-color: var(--fill-color);\n",
              "    }\n",
              "    20% {\n",
              "      border-color: transparent;\n",
              "      border-left-color: var(--fill-color);\n",
              "      border-top-color: var(--fill-color);\n",
              "    }\n",
              "    30% {\n",
              "      border-color: transparent;\n",
              "      border-left-color: var(--fill-color);\n",
              "      border-top-color: var(--fill-color);\n",
              "      border-right-color: var(--fill-color);\n",
              "    }\n",
              "    40% {\n",
              "      border-color: transparent;\n",
              "      border-right-color: var(--fill-color);\n",
              "      border-top-color: var(--fill-color);\n",
              "    }\n",
              "    60% {\n",
              "      border-color: transparent;\n",
              "      border-right-color: var(--fill-color);\n",
              "    }\n",
              "    80% {\n",
              "      border-color: transparent;\n",
              "      border-right-color: var(--fill-color);\n",
              "      border-bottom-color: var(--fill-color);\n",
              "    }\n",
              "    90% {\n",
              "      border-color: transparent;\n",
              "      border-bottom-color: var(--fill-color);\n",
              "    }\n",
              "  }\n",
              "</style>\n",
              "\n",
              "  <script>\n",
              "    async function quickchart(key) {\n",
              "      const quickchartButtonEl =\n",
              "        document.querySelector('#' + key + ' button');\n",
              "      quickchartButtonEl.disabled = true;  // To prevent multiple clicks.\n",
              "      quickchartButtonEl.classList.add('colab-df-spinner');\n",
              "      try {\n",
              "        const charts = await google.colab.kernel.invokeFunction(\n",
              "            'suggestCharts', [key], {});\n",
              "      } catch (error) {\n",
              "        console.error('Error during call to suggestCharts:', error);\n",
              "      }\n",
              "      quickchartButtonEl.classList.remove('colab-df-spinner');\n",
              "      quickchartButtonEl.classList.add('colab-df-quickchart-complete');\n",
              "    }\n",
              "    (() => {\n",
              "      let quickchartButtonEl =\n",
              "        document.querySelector('#df-6143512e-ab76-4de6-93ee-df8c7c1d7fbd button');\n",
              "      quickchartButtonEl.style.display =\n",
              "        google.colab.kernel.accessAllowed ? 'block' : 'none';\n",
              "    })();\n",
              "  </script>\n",
              "</div>\n",
              "\n",
              "  <div id=\"id_380761d9-96e9-400d-a763-6e3998ea9c8e\">\n",
              "    <style>\n",
              "      .colab-df-generate {\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-generate: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-generate {\n",
              "        background-color: #3B4455;\n",
              "        fill: #D2E3FC;\n",
              "      }\n",
              "\n",
              "      [theme=dark] .colab-df-generate: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",
              "    <button class=\"colab-df-generate\" onclick=\"generateWithVariable('data')\"\n",
              "            title=\"Generate code using this dataframe.\"\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=\"M7,19H8.4L18.45,9,17,7.55,7,17.6ZM5,21V16.75L18.45,3.32a2,2,0,0,1,2.83,0l1.4,1.43a1.91,1.91,0,0,1,.58,1.4,1.91,1.91,0,0,1-.58,1.4L9.25,21ZM18.45,9,17,7.55Zm-12,3A5.31,5.31,0,0,0,4.9,8.1,5.31,5.31,0,0,0,1,6.5,5.31,5.31,0,0,0,4.9,4.9,5.31,5.31,0,0,0,6.5,1,5.31,5.31,0,0,0,8.1,4.9,5.31,5.31,0,0,0,12,6.5,5.46,5.46,0,0,0,6.5,12Z\"/>\n",
              "  </svg>\n",
              "    </button>\n",
              "    <script>\n",
              "      (() => {\n",
              "      const buttonEl =\n",
              "        document.querySelector('#id_380761d9-96e9-400d-a763-6e3998ea9c8e button.colab-df-generate');\n",
              "      buttonEl.style.display =\n",
              "        google.colab.kernel.accessAllowed ? 'block' : 'none';\n",
              "\n",
              "      buttonEl.onclick = () => {\n",
              "        google.colab.notebook.generateWithVariable('data');\n",
              "      }\n",
              "      })();\n",
              "    </script>\n",
              "  </div>\n",
              "\n",
              "    </div>\n",
              "  </div>\n"
            ],
            "application/vnd.google.colaboratory.intrinsic+json": {
              "type": "dataframe",
              "variable_name": "data",
              "summary": "{\n  \"name\": \"data\",\n  \"rows\": 15,\n  \"fields\": [\n    {\n      \"column\": \"name\",\n      \"properties\": {\n        \"dtype\": \"category\",\n        \"num_unique_values\": 5,\n        \"samples\": [\n          \"bob\",\n          \"maria\",\n          \"charlie\"\n        ],\n        \"semantic_type\": \"\",\n        \"description\": \"\"\n      }\n    },\n    {\n      \"column\": \"subject\",\n      \"properties\": {\n        \"dtype\": \"category\",\n        \"num_unique_values\": 3,\n        \"samples\": [\n          \"math\",\n          \"science\",\n          \"arts\"\n        ],\n        \"semantic_type\": \"\",\n        \"description\": \"\"\n      }\n    },\n    {\n      \"column\": \"grade\",\n      \"properties\": {\n        \"dtype\": \"number\",\n        \"std\": 11,\n        \"min\": 50,\n        \"max\": 88,\n        \"num_unique_values\": 12,\n        \"samples\": [\n          80,\n          87,\n          79\n        ],\n        \"semantic_type\": \"\",\n        \"description\": \"\"\n      }\n    },\n    {\n      \"column\": \"letter_grade\",\n      \"properties\": {\n        \"dtype\": \"category\",\n        \"num_unique_values\": 4,\n        \"samples\": [\n          \"B\",\n          \"D\",\n          \"C\"\n        ],\n        \"semantic_type\": \"\",\n        \"description\": \"\"\n      }\n    },\n    {\n      \"column\": \"status\",\n      \"properties\": {\n        \"dtype\": \"category\",\n        \"num_unique_values\": 2,\n        \"samples\": [\n          \"Failed\",\n          \"Passed\"\n        ],\n        \"semantic_type\": \"\",\n        \"description\": \"\"\n      }\n    }\n  ]\n}"
            }
          },
          "metadata": {},
          "execution_count": 91
        }
      ],
      "source": [
        "# Your code here\n"
      ]
    },
    {
      "cell_type": "markdown",
      "id": "bc018665-ec90-45c0-9c38-de389d15ed8f",
      "metadata": {
        "id": "bc018665-ec90-45c0-9c38-de389d15ed8f"
      },
      "source": [
        "8. *\\[BONUS\\]* **Plot a bar chart** to visualize the average grade for each student and/or subject  "
      ]
    },
    {
      "cell_type": "code",
      "execution_count": null,
      "id": "32ac9254-be6b-409c-a96c-6d191568404c",
      "metadata": {
        "id": "32ac9254-be6b-409c-a96c-6d191568404c",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 472
        },
        "outputId": "c1bae100-6e58-44bf-b17b-4933a1731291"
      },
      "outputs": [
        {
          "output_type": "display_data",
          "data": {
            "text/plain": [
              "<Figure size 640x480 with 1 Axes>"
            ],
            "image/png": "iVBORw0KGgoAAAANSUhEUgAAAjIAAAHHCAYAAACle7JuAAAAOXRFWHRTb2Z0d2FyZQBNYXRwbG90bGliIHZlcnNpb24zLjcuMSwgaHR0cHM6Ly9tYXRwbG90bGliLm9yZy/bCgiHAAAACXBIWXMAAA9hAAAPYQGoP6dpAABHd0lEQVR4nO3deXxMZ///8fckshEJsSRoghJE0WoQQa0htdN0oa2lVXorSmytu8Wtd60tomppcYdWVCnVRVENXRB7ba3aSmNL1JJELAnJ+f3Rn/kaSchoYnL09Xw85vFwrnPONZ9zZiTvXHOdMxbDMAwBAACYkJOjCwAAALhbBBkAAGBaBBkAAGBaBBkAAGBaBBkAAGBaBBkAAGBaBBkAAGBaBBkAAGBaBBkAAGBaBBkApnbs2DFZLBbNnz8/T/t7991386S/gs5iseg///mPo8sA7hpBBsjBzJkzZbFYFBIS4uhSCqTMzEx99NFHatmypUqWLCkXFxeVLl1arVq10ocffqi0tDRHl1jg7d27V08++aTKly8vd3d3lStXTi1bttT06dNtths3bpxWrFjhmCLzwKJFixQVFeXoMnCfIsgAOYiJiVGFChW0detWHT582NHlFChXrlxRmzZt1KNHD12+fFlDhw7Vhx9+qNdee03u7u565ZVX9Morrzi6zAJt06ZNqlOnjnbv3q3evXvr/fff10svvSQnJydNmzbNZluCDJCzQo4uACiIjh49qk2bNmn58uV6+eWXFRMTo9GjR9/TGjIzM5Weni53d/d7+ry5ERkZqTVr1igqKkoDBw60WTdkyBAdOnRIa9euvW0f169fV2ZmplxdXfOz1AJr7Nix8vb21rZt21SsWDGbdWfOnHFMUYAJMSIDZCMmJkbFixdX27Zt9eSTTyomJsa67tq1a/Lx8dELL7yQZb+UlBS5u7tr6NCh1ra0tDSNHj1alStXlpubm/z9/TV8+PAsH71YLBb1799fMTExeuihh+Tm5qbVq1dLkt599101aNBAJUqUkIeHh4KDg/XZZ59lef4rV67o1VdfVcmSJVW0aFF16NBBJ0+ezHYexMmTJ/Xiiy/K19dXbm5ueuihh/S///3vjufm+PHjmjt3rh5//PEsIeaGwMBAmxGZm+edREVFqVKlSnJzc9Ovv/6q9PR0jRo1SsHBwfL29laRIkX02GOPaf369Vn6TUpKUs+ePeXt7a1ixYqpR48eSkpKyraG3377TU8++aR8fHzk7u6uOnXq6Msvv7zj8d1s6tSpKl++vDw8PNSkSRPt27fPui46OloWi0U///xzlv3GjRsnZ2dnnTx5Mse+jxw5ooceeihLiJGk0qVLW/9tsVh06dIlLViwQBaLRRaLRT179pQk9ezZUxUqVMiy/3/+8x9ZLBabtrS0NEVGRqpUqVLW98aJEyeyrS03743vv/9eFotFS5Ys0dixY/XAAw/I3d1dLVq0sBnBbNq0qVauXKk//vjDWn92NQN3ixEZIBsxMTF64okn5Orqqq5du2rWrFnatm2b6tatKxcXF3Xu3FnLly/XBx98YDOisGLFCqWlpalLly6S/hpV6dChgzZs2KA+ffooKChIe/fu1dSpU3Xw4MEsHxesW7dOS5YsUf/+/VWyZEnrD/xp06apQ4cOeu6555Senq7Fixfrqaee0tdff622bdta9+/Zs6eWLFmibt26qX79+vrhhx9s1t+QmJio+vXrW8NTqVKltGrVKvXq1UspKSkaNGhQjudm1apVysjI0PPPP2/3eY2OjtbVq1fVp08fubm5ycfHRykpKZo7d666du2q3r176+LFi5o3b57Cw8O1detWPfLII5IkwzDUsWNHbdiwQf/6178UFBSkzz//XD169MjyPL/88osaNmyocuXK6fXXX1eRIkW0ZMkSderUScuWLVPnzp3vWOtHH32kixcvql+/frp69aqmTZum5s2ba+/evfL19dWTTz6pfv36KSYmRrVr17bZNyYmRk2bNlW5cuVy7L98+fKKi4vTvn37VKNGjRy3+/jjj/XSSy+pXr166tOnjySpUqVKd6z/Vi+99JIWLlyoZ599Vg0aNNC6devy5L0xYcIEOTk5aejQoUpOTtakSZP03HPPacuWLZKkN954Q8nJyTpx4oSmTp0qSfL09LS7fiBHBgAb27dvNyQZa9euNQzDMDIzM40HHnjAGDhwoHWbNWvWGJKMr776ymbfNm3aGA8++KB1+eOPPzacnJyMn376yWa72bNnG5KMjRs3WtskGU5OTsYvv/ySpabLly/bLKenpxs1atQwmjdvbm3bsWOHIckYNGiQzbY9e/Y0JBmjR4+2tvXq1csoU6aMcfbsWZttu3TpYnh7e2d5vptFRkYakoxdu3bZtKelpRl//vmn9XFz30ePHjUkGV5eXsaZM2ds9rt+/bqRlpZm03bhwgXD19fXePHFF61tK1asMCQZkyZNstn3scceMyQZ0dHR1vYWLVoYNWvWNK5evWpty8zMNBo0aGAEBgbmeGw31+rh4WGcOHHC2r5lyxZDkhEZGWlt69q1q1G2bFkjIyPD2rZz584s9WTn22+/NZydnQ1nZ2cjNDTUGD58uLFmzRojPT09y7ZFihQxevTokaW9R48eRvny5bO0jx492rj5x/uuXbsMScYrr7xis92zzz571++N9evXG5KMoKAgm9dv2rRphiRj79691ra2bdtmWyeQF/hoCbhFTEyMfH191axZM0l/De0/88wzWrx4sTIyMiRJzZs3V8mSJfXpp59a97tw4YLWrl2rZ555xtq2dOlSBQUFqVq1ajp79qz10bx5c0nK8vFJkyZNVL169Sw1eXh42DxPcnKyHnvsMe3cudPafuNjqFsn2Q4YMMBm2TAMLVu2TO3bt5dhGDZ1hYeHKzk52abfW6WkpEjK+lf1N998o1KlSlkf5cuXz7JvRESESpUqZdPm7OxsHdXKzMzU+fPndf36ddWpU8emjm+++UaFChVS3759bfa99fjOnz+vdevW6emnn9bFixetx3bu3DmFh4fr0KFDt/3I54ZOnTrZjKjUq1dPISEh+uabb6xt3bt316lTp2xex5iYGHl4eCgiIuK2/bds2VJxcXHq0KGDdu/erUmTJik8PFzlypWz+yOwO7lR86uvvmrTfuvoyt28N1544QWbUcnHHntMkvT777/n6TEAOSHIADfJyMjQ4sWL1axZMx09elSHDx/W4cOHFRISosTERMXGxkqSChUqpIiICH3xxRfWuS7Lly/XtWvXbILMoUOH9Msvv9j8gi9VqpSqVKkiKeukzooVK2Zb19dff6369evL3d1dPj4+KlWqlGbNmqXk5GTrNn/88YecnJyy9FG5cmWb5T///FNJSUn68MMPs9R1Y97P7SabFi1aVJKUmppq096wYUOtXbtWa9euVatWrbLdN6fjW7BggWrVqiV3d3eVKFFCpUqV0sqVK7McX5kyZbIEqKpVq9osHz58WIZhaOTIkVmO78aE7dxMpg0MDMzSVqVKFR07dsy63LJlS5UpU8Y6hyozM1OffPKJOnbsaD1Pt1O3bl0tX75cFy5c0NatWzVixAhdvHhRTz75pH799dc77p9bN94bt34kdeu5u5v3RkBAgM1y8eLFJf0VuIF7gTkywE3WrVun06dPa/HixVq8eHGW9TExMdZf0l26dNEHH3ygVatWqVOnTlqyZImqVaumhx9+2Lp9ZmamatasqSlTpmT7fP7+/jbLN4+83PDTTz+pQ4cOaty4sWbOnKkyZcrIxcVF0dHRWrRokd3HmJmZKUl6/vnns51fIkm1atXKcf9q1apJkvbt22dzrKVKlVJYWJgkaeHChdnum93xLVy4UD179lSnTp00bNgwlS5dWs7Ozho/fryOHDmSu4O6yY3jGzp0qMLDw7Pd5tZwd7ecnZ317LPPas6cOZo5c6Y2btyoU6dO2T1/yNXVVXXr1lXdunVVpUoVvfDCC1q6dOkdr5S7dULvDTdGDu11N+8NZ2fnbLczDOOuagDsRZABbhITE6PSpUtrxowZWdYtX75cn3/+uWbPni0PDw81btxYZcqU0aeffqpGjRpp3bp1euONN2z2qVSpknbv3q0WLVrk+EvnTpYtWyZ3d3etWbNGbm5u1vbo6Gib7cqXL6/MzEwdPXrUZjTh1nvg3LhqJSMjwxo87NG6dWs5OzsrJiZGzz33nN373+qzzz7Tgw8+qOXLl9uco1t/iZcvX16xsbFKTU21GZU5cOCAzXYPPvigJMnFxeWuju+GQ4cOZWk7ePBglituunfvrsmTJ+urr77SqlWrVKpUqRwDVG7UqVNHknT69GlrW07vneLFi2d71dYff/xhs3zjvXHkyBGbUZhbz93ffW/k5G7f+0Bu8NES8P9duXJFy5cvV7t27fTkk09mefTv318XL160zl9wcnLSk08+qa+++koff/yxrl+/bvOxkiQ9/fTTOnnypObMmZPt8126dOmOdTk7O8tisdj8lX3s2LEsVzzd+OU5c+ZMm/Zb7xLr7OysiIgILVu2zOZy4hv+/PPP29YTEBCgF198UatWrdL777+f7Tb2/DV+4y/6m/fZsmWL4uLibLZr06aNrl+/rlmzZlnbMjIyshxf6dKl1bRpU33wwQc2YeCGOx3fDStWrLCZS7N161Zt2bJFrVu3ttmuVq1aqlWrlubOnatly5apS5cuKlTozn8jrl+/PtvzdGM+y82Bo0iRItkGlkqVKik5OVl79uyxtp0+fVqff/65zXY3an7vvfds2m+9Sd3ffW/kpEiRIjYfEwJ5iREZ4P/78ssvdfHiRXXo0CHb9fXr11epUqUUExNjDSzPPPOMpk+frtGjR6tmzZoKCgqy2adbt25asmSJ/vWvf2n9+vVq2LChMjIy9Ntvv2nJkiVas2aN9S/wnLRt21ZTpkzR448/rmeffVZnzpzRjBkzVLlyZZtfYMHBwYqIiFBUVJTOnTtnvfz64MGDkmz/Kp4wYYLWr1+vkJAQ9e7dW9WrV9f58+e1c+dOfffddzp//vxta4qKitLRo0c1YMAALV68WO3bt1fp0qV19uxZbdy4UV999VWW+Rc5adeunZYvX67OnTurbdu2Onr0qGbPnq3q1avbzMNp3769GjZsqNdff13Hjh1T9erVtXz58mx/Qc6YMUONGjVSzZo11bt3bz344INKTExUXFycTpw4od27d9+xrsqVK6tRo0bq27ev0tLSFBUVpRIlSmj48OFZtu3evbv13kG5/VhpwIABunz5sjp37qxq1aopPT1dmzZt0qeffqoKFSrY3KcoODhY3333naZMmaKyZcuqYsWKCgkJUZcuXfTaa6+pc+fOevXVV3X58mXNmjVLVapUsZmU+8gjj6hr166aOXOmkpOT1aBBA8XGxmZ7x+q/+97ITnBwsD799FMNHjxYdevWlaenp9q3b293P0C2HHa9FFDAtG/f3nB3dzcuXbqU4zY9e/Y0XFxcrJemZmZmGv7+/oYk4+233852n/T0dGPixInGQw89ZLi5uRnFixc3goODjTFjxhjJycnW7SQZ/fr1y7aPefPmGYGBgYabm5tRrVo1Izo6OssltoZhGJcuXTL69etn+Pj4GJ6enkanTp2MAwcOGJKMCRMm2GybmJho9OvXz/D39zdcXFwMPz8/o0WLFsaHH36Yq/N1/fp1Izo62mjevLnh4+NjFCpUyChZsqTRokULY/bs2caVK1es2964pPmdd97J0k9mZqYxbtw4o3z58oabm5tRu3Zt4+uvv8720uJz584Z3bp1M7y8vAxvb2+jW7duxs8//5zt5c5Hjhwxunfvbvj5+RkuLi5GuXLljHbt2hmfffbZbY/r5lonT55s+Pv7G25ubsZjjz1m7N69O9t9Tp8+bTg7OxtVqlTJ1bkzDMNYtWqV8eKLLxrVqlUzPD09DVdXV6Ny5crGgAEDjMTERJttf/vtN6Nx48aGh4eHIcnmUuxvv/3WqFGjhuHq6mpUrVrVWLhwYbbvjStXrhivvvqqUaJECaNIkSJG+/btjePHj2e5/NowcvfeuHH59dKlS7M9fze/Hqmpqcazzz5rFCtWzJDEpdjIUxbDYEYWcD/btWuXateurYULF+bJnBZkdfbsWZUpU0ajRo3SyJEjHV0O8I/CHBngPnLlypUsbVFRUXJyclLjxo0dUNE/w/z585WRkaFu3bo5uhTgH4c5MsB9ZNKkSdqxY4eaNWumQoUKadWqVVq1apX69OmT5VJv/H3r1q3Tr7/+qrFjx6pTp058hxDgAHy0BNxH1q5dqzFjxujXX39VamqqAgIC1K1bN73xxhu5upIG9mnatKk2bdqkhg0bauHChbf9biUA+YMgAwAATIs5MgAAwLQIMgAAwLTu+w/NMzMzderUKRUtWpTbZAMAYBKGYejixYsqW7asnJxyHne574PMqVOnuFoDAACTOn78uB544IEc19/3QaZo0aKS/joRXl5eDq4GAADkRkpKivz9/a2/x3Ny3weZGx8neXl5EWQAADCZO00LYbIvAAAwLYIMAAAwLYIMAAAwLYIMAAAwLYIMAAAwLYIMAAAwLYcGmYyMDI0cOVIVK1aUh4eHKlWqpP/+97+6+XssDcPQqFGjVKZMGXl4eCgsLEyHDh1yYNUAAKCgcGiQmThxombNmqX3339f+/fv18SJEzVp0iRNnz7dus2kSZP03nvvafbs2dqyZYuKFCmi8PBwXb161YGVAwCAgsBi3Dz8cY+1a9dOvr6+mjdvnrUtIiJCHh4eWrhwoQzDUNmyZTVkyBANHTpUkpScnCxfX1/Nnz9fXbp0ueNzpKSkyNvbW8nJydwQDwAAk8jt72+Hjsg0aNBAsbGxOnjwoCRp9+7d2rBhg1q3bi1JOnr0qBISEhQWFmbdx9vbWyEhIYqLi8u2z7S0NKWkpNg8AADA/cmhX1Hw+uuvKyUlRdWqVZOzs7MyMjI0duxYPffcc5KkhIQESZKvr6/Nfr6+vtZ1txo/frzGjBmTv4UDAIACwaEjMkuWLFFMTIwWLVqknTt3asGCBXr33Xe1YMGCu+5zxIgRSk5Otj6OHz+ehxUDAICCxKEjMsOGDdPrr79unetSs2ZN/fHHHxo/frx69OghPz8/SVJiYqLKlClj3S8xMVGPPPJItn26ubnJzc0t32sHAACO59ARmcuXL8vJybYEZ2dnZWZmSpIqVqwoPz8/xcbGWtenpKRoy5YtCg0Nvae1AgCAgsehIzLt27fX2LFjFRAQoIceekg///yzpkyZohdffFHSX1/dPWjQIL399tsKDAxUxYoVNXLkSJUtW1adOnVyZOkAAKAAcGiQmT59ukaOHKlXXnlFZ86cUdmyZfXyyy9r1KhR1m2GDx+uS5cuqU+fPkpKSlKjRo20evVqubu7O7ByOFKF11c6ugRTOTahraNLAIB849D7yNwL3Efm/kOQsQ9BBoAZmeI+MgAAAH8HQQYAAJgWQQYAAJgWQQYAAJgWQQYAAJgWQQYAAJgWQQYAAJgWQQYAAJgWQQYAAJgWQQYAAJgWQQYAAJgWQQYAAJgWQQYAAJgWQQYAAJgWQQYAAJgWQQYAAJhWIUcXAADIWYXXVzq6BNM4NqGto0uAAzAiAwAATIsgAwAATIsgAwAATIsgAwAATIsgAwAATIsgAwAATIsgAwAATIsgAwAATIsgAwAATIsgAwAATIuvKPgbuHW4fbh9OAAgrzEiAwAATIsgAwAATIsgAwAATIsgAwAATIsgAwAATIurlgDkClfp5R5X6AH3jkNHZCpUqCCLxZLl0a9fP0nS1atX1a9fP5UoUUKenp6KiIhQYmKiI0sGAAAFiENHZLZt26aMjAzr8r59+9SyZUs99dRTkqTIyEitXLlSS5culbe3t/r3768nnnhCGzdudFTJAIB/AEYgc8/RI5AODTKlSpWyWZ4wYYIqVaqkJk2aKDk5WfPmzdOiRYvUvHlzSVJ0dLSCgoK0efNm1a9f3xElAwCAAqTATPZNT0/XwoUL9eKLL8pisWjHjh26du2awsLCrNtUq1ZNAQEBiouLy7GftLQ0paSk2DwAAMD9qcAEmRUrVigpKUk9e/aUJCUkJMjV1VXFihWz2c7X11cJCQk59jN+/Hh5e3tbH/7+/vlYNQAAcKQCE2TmzZun1q1bq2zZsn+rnxEjRig5Odn6OH78eB5VCAAACpoCcfn1H3/8oe+++07Lly+3tvn5+Sk9PV1JSUk2ozKJiYny8/PLsS83Nze5ubnlZ7kAAKCAKBAjMtHR0SpdurTatv2/mc/BwcFycXFRbGyste3AgQOKj49XaGioI8oEAAAFjMNHZDIzMxUdHa0ePXqoUKH/K8fb21u9evXS4MGD5ePjIy8vLw0YMEChoaFcsQQAACQVgCDz3XffKT4+Xi+++GKWdVOnTpWTk5MiIiKUlpam8PBwzZw50wFVAgCAgsjhQaZVq1YyDCPbde7u7poxY4ZmzJhxj6sCAABmUCDmyAAAANwNggwAADAtggwAADAtggwAADAtggwAADAtggwAADAtggwAADAtggwAADAtggwAADAtggwAADAtggwAADAtggwAADAtggwAADAtggwAADAtggwAADAtggwAADAtggwAADAtggwAADAtggwAADAtggwAADAtggwAADAtggwAADAtggwAADAtggwAADAtggwAADAtggwAADAtggwAADAtggwAADAtggwAADAtggwAADAtggwAADAtggwAADAtggwAADAthweZkydP6vnnn1eJEiXk4eGhmjVravv27db1hmFo1KhRKlOmjDw8PBQWFqZDhw45sGIAAFBQODTIXLhwQQ0bNpSLi4tWrVqlX3/9VZMnT1bx4sWt20yaNEnvvfeeZs+erS1btqhIkSIKDw/X1atXHVg5AAAoCAo58sknTpwof39/RUdHW9sqVqxo/bdhGIqKitKbb76pjh07SpI++ugj+fr6asWKFerSpcs9rxkAABQcDh2R+fLLL1WnTh099dRTKl26tGrXrq05c+ZY1x89elQJCQkKCwuztnl7eyskJERxcXHZ9pmWlqaUlBSbBwAAuD85NMj8/vvvmjVrlgIDA7VmzRr17dtXr776qhYsWCBJSkhIkCT5+vra7Ofr62tdd6vx48fL29vb+vD398/fgwAAAA7j0CCTmZmpRx99VOPGjVPt2rXVp08f9e7dW7Nnz77rPkeMGKHk5GTr4/jx43lYMQAAKEgcGmTKlCmj6tWr27QFBQUpPj5ekuTn5ydJSkxMtNkmMTHRuu5Wbm5u8vLysnkAAID7k0ODTMOGDXXgwAGbtoMHD6p8+fKS/pr46+fnp9jYWOv6lJQUbdmyRaGhofe0VgAAUPA49KqlyMhINWjQQOPGjdPTTz+trVu36sMPP9SHH34oSbJYLBo0aJDefvttBQYGqmLFiho5cqTKli2rTp06ObJ0AABQADg0yNStW1eff/65RowYobfeeksVK1ZUVFSUnnvuOes2w4cP16VLl9SnTx8lJSWpUaNGWr16tdzd3R1YOQAAKAgcGmQkqV27dmrXrl2O6y0Wi9566y299dZb97AqAABgBg7/igIAAIC7RZABAACmRZABAACmRZABAACmRZABAACmRZABAACmRZABAACmRZABAACmRZABAACmRZABAACmRZABAACmRZABAACmRZABAACmRZABAACmRZABAACmRZABAACmRZABAACmRZABAACmRZABAACmRZABAACmRZABAACmRZABAACmRZABAACmRZABAACmRZABAACmdVdB5vr16/ruu+/0wQcf6OLFi5KkU6dOKTU1NU+LAwAAuJ1C9u7wxx9/6PHHH1d8fLzS0tLUsmVLFS1aVBMnTlRaWppmz56dH3UCAABkYfeIzMCBA1WnTh1duHBBHh4e1vbOnTsrNjY2T4sDAAC4HbtHZH766Sdt2rRJrq6uNu0VKlTQyZMn86wwAACAO7F7RCYzM1MZGRlZ2k+cOKGiRYvmSVEAAAC5YXeQadWqlaKioqzLFotFqampGj16tNq0aZOXtQEAANyW3R8tTZ48WeHh4apevbquXr2qZ599VocOHVLJkiX1ySef5EeNAAAA2bI7yDzwwAPavXu3Fi9erD179ig1NVW9evXSc889ZzP5FwAAIL/ZHWQkqVChQnr++efzuhYAAAC75CrIfPnll7nusEOHDrne9j//+Y/GjBlj01a1alX99ttvkqSrV69qyJAhWrx4sdLS0hQeHq6ZM2fK19c3188BAADuX7kKMp06dbJZtlgsMgwjS5ukbK9oup2HHnpI33333f8VVOj/SoqMjNTKlSu1dOlSeXt7q3///nriiSe0ceNGu54DAADcn3J11VJmZqb18e233+qRRx7RqlWrlJSUpKSkJK1atUqPPvqoVq9ebXcBhQoVkp+fn/VRsmRJSVJycrLmzZunKVOmqHnz5goODlZ0dLQ2bdqkzZs32/08AADg/mP3HJlBgwZp9uzZatSokbUtPDxchQsXVp8+fbR//367+jt06JDKli0rd3d3hYaGavz48QoICNCOHTt07do1hYWFWbetVq2aAgICFBcXp/r162fbX1pamtLS0qzLKSkpdh4hAAAwC7vvI3PkyBEVK1YsS7u3t7eOHTtmV18hISGaP3++Vq9erVmzZuno0aN67LHHdPHiRSUkJMjV1TXLc/n6+iohISHHPsePHy9vb2/rw9/f366aAACAedgdZOrWravBgwcrMTHR2paYmKhhw4apXr16dvXVunVrPfXUU6pVq5bCw8P1zTffKCkpSUuWLLG3LKsRI0YoOTnZ+jh+/Phd9wUAAAo2u4PM//73P50+fVoBAQGqXLmyKleurICAAJ08eVLz5s37W8UUK1ZMVapU0eHDh+Xn56f09HQlJSXZbJOYmCg/P78c+3Bzc5OXl5fNAwAA3J/sniNTuXJl7dmzR2vXrrVeJh0UFKSwsDDrlUt3KzU1VUeOHFG3bt0UHBwsFxcXxcbGKiIiQpJ04MABxcfHKzQ09G89DwAAuD/c1Q3xLBaLWrVqpVatWv2tJx86dKjat2+v8uXL69SpUxo9erScnZ3VtWtXeXt7q1evXho8eLB8fHzk5eWlAQMGKDQ0NMeJvgAA4J/lroLMpUuX9MMPPyg+Pl7p6ek261599dVc93PixAl17dpV586dU6lSpdSoUSNt3rxZpUqVkiRNnTpVTk5OioiIsLkhHgAAgHQXQebnn39WmzZtdPnyZV26dEk+Pj46e/asChcurNKlS9sVZBYvXnzb9e7u7poxY4ZmzJhhb5kAAOAfwO7JvpGRkWrfvr0uXLggDw8Pbd68WX/88YeCg4P17rvv5keNAAAA2bI7yOzatUtDhgyRk5OTnJ2dlZaWJn9/f02aNEn//ve/86NGAACAbNkdZFxcXOTk9NdupUuXVnx8vKS/bojHPVsAAMC9ZPccmdq1a2vbtm0KDAxUkyZNNGrUKJ09e1Yff/yxatSokR81AgAAZMvuEZlx48apTJkykqSxY8eqePHi6tu3r/788099+OGHeV4gAABATuwakTEMQ6VLl7aOvJQuXfquvvEaAAAgL9g1ImMYhipXrsxcGAAAUCDYFWScnJwUGBioc+fO5Vc9AAAAuWb3HJkJEyZo2LBh2rdvX37UAwAAkGt2X7XUvXt3Xb58WQ8//LBcXV3l4eFhs/78+fN5VhwAAMDt2B1koqKi8qEMAAAA+9kdZHr06JEfdQAAANjtrr79WpJ++eUXZWRkWJednZ310EMP5UlRAAAAuZHryb4//fST6tata12uX7++ateurUceeUSPPPKIatWqpe+++y5figQAAMhOroPMzJkz1a1bN5u29evX6+jRo/r99981cOBAzZo1K88LBAAAyEmug8z27dvVvHlzm7YHHnhA5cuXV4UKFdStWzfFxcXleYEAAAA5yXWQOXHihLy9va3LCxYskJ+fn3XZx8eHG+UBAIB7KtdBpmjRojpy5Ih1+YknnlDhwoWty0ePHpWXl1feVgcAAHAbuQ4yISEh+uijj3JcP3/+fIWEhORJUQAAALmR68uvBw8erLCwMJUoUULDhg1T6dKlJUlnzpzRxIkTtXDhQn377bf5VigAAMCtch1kmjVrpunTpysyMlJTpkyRl5eXLBaLkpOTVahQIUVFRWWZDAwAAJCf7Loh3iuvvKL27dvrs88+06FDhyRJgYGBevLJJ+Xv758vBQIAAOTE7jv7+vv7KzIyMj9qAQAAsEuuJ/sCAAAUNAQZAABgWgQZAABgWgQZAABgWncVZJKSkjR37lyNGDFC58+flyTt3LlTJ0+ezNPiAAAAbsfuq5b27NmjsLAweXt769ixY+rdu7d8fHy0fPlyxcfH3/buvwAAAHnJ7hGZwYMHq2fPnjp06JDc3d2t7W3atNGPP/6Yp8UBAADcjt1BZtu2bXr55ZeztJcrV04JCQl5UhQAAEBu2B1k3NzclJKSkqX94MGDKlWqVJ4UBQAAkBt2B5kOHTrorbfe0rVr1yRJFotF8fHxeu211xQREZHnBQIAAOTE7iAzefJkpaamqnTp0rpy5YqaNGmiypUrq2jRoho7duxdFzJhwgRZLBYNGjTI2nb16lX169dPJUqUkKenpyIiIpSYmHjXzwEAAO4vdl+15O3trbVr12rDhg3as2ePUlNT9eijjyosLOyui9i2bZs++OAD1apVy6Y9MjJSK1eu1NKlS+Xt7a3+/fvriSee0MaNG+/6uQAAwP3D7iBzQ6NGjdSoUaO/XUBqaqqee+45zZkzR2+//ba1PTk5WfPmzdOiRYvUvHlzSVJ0dLSCgoK0efNm1a9f/28/NwAAMDe7g8x7772XbbvFYpG7u7sqV66sxo0by9nZOVf99evXT23btlVYWJhNkNmxY4euXbtmM9JTrVo1BQQEKC4uLscgk5aWprS0NOtydhOTAQDA/cHuIDN16lT9+eefunz5sooXLy5JunDhggoXLixPT0+dOXNGDz74oNavXy9/f//b9rV48WLt3LlT27Zty7IuISFBrq6uKlasmE27r6/vbS/zHj9+vMaMGWPvYQEAABOye7LvuHHjVLduXR06dEjnzp3TuXPndPDgQYWEhGjatGmKj4+Xn5+fIiMjb9vP8ePHNXDgQMXExNjcWO/vGjFihJKTk62P48eP51nfAACgYLF7RObNN9/UsmXLVKlSJWtb5cqV9e677yoiIkK///67Jk2adMdLsXfs2KEzZ87o0UcftbZlZGToxx9/1Pvvv681a9YoPT1dSUlJNqMyiYmJ8vPzy7FfNzc3ubm52XtYAADAhOwOMqdPn9b169eztF+/ft36kU/ZsmV18eLF2/bTokUL7d2716bthRdeULVq1fTaa6/J399fLi4uio2NtYaiAwcOKD4+XqGhofaWDQAA7kN2B5lmzZrp5Zdf1ty5c1W7dm1J0s8//6y+fftary7au3evKlaseNt+ihYtqho1ati0FSlSRCVKlLC29+rVS4MHD5aPj4+8vLw0YMAAhYaGcsUSAACQdBdzZObNmycfHx8FBwdbP8apU6eOfHx8NG/ePEmSp6enJk+e/LeLmzp1qtq1a6eIiAg1btxYfn5+Wr58+d/uFwAA3B/sHpHx8/PT2rVr9dtvv+ngwYOSpKpVq6pq1arWbZo1a3ZXxXz//fc2y+7u7poxY4ZmzJhxV/0BAID7213fEK9atWqqVq1aXtYCAABgl7sKMidOnNCXX36p+Ph4paen26ybMmVKnhQGAABwJ3YHmdjYWHXo0EEPPvigfvvtN9WoUUPHjh2TYRg2l1IDAADkN7sn+44YMUJDhw7V3r175e7urmXLlun48eNq0qSJnnrqqfyoEQAAIFt2B5n9+/ere/fukqRChQrpypUr8vT01FtvvaWJEyfmeYEAAAA5sTvIFClSxDovpkyZMjpy5Ih13dmzZ/OuMgAAgDuwe45M/fr1tWHDBgUFBalNmzYaMmSI9u7dq+XLl3OjOgAAcE/ZHWSmTJmi1NRUSdKYMWOUmpqqTz/9VIGBgVyxBAAA7im7gkxGRoZOnDihWrVqSfrrY6bZs2fnS2EAAAB3YtccGWdnZ7Vq1UoXLlzIr3oAAAByze7JvjVq1NDvv/+eH7UAAADYxe4g8/bbb2vo0KH6+uuvdfr0aaWkpNg8AAAA7hW7J/u2adNGktShQwdZLBZru2EYslgsysjIyLvqAAAAbsPuILN+/fr8qAMAAMBudgeZJk2a5EcdAAAAdrN7jowk/fTTT3r++efVoEEDnTx5UpL08ccfa8OGDXlaHAAAwO3YHWSWLVum8PBweXh4aOfOnUpLS5MkJScna9y4cXleIAAAQE7u6qql2bNna86cOXJxcbG2N2zYUDt37szT4gAAAG7H7iBz4MABNW7cOEu7t7e3kpKS8qImAACAXLE7yPj5+enw4cNZ2jds2KAHH3wwT4oCAADIDbuDTO/evTVw4EBt2bJFFotFp06dUkxMjIYOHaq+ffvmR40AAADZsvvy69dff12ZmZlq0aKFLl++rMaNG8vNzU1Dhw7VgAED8qNGAACAbNkdZCwWi9544w0NGzZMhw8fVmpqqqpXry5PT8/8qA8AACBHdn+0tHDhQl2+fFmurq6qXr266tWrR4gBAAAOYXeQiYyMVOnSpfXss8/qm2++4buVAACAw9gdZE6fPq3FixfLYrHo6aefVpkyZdSvXz9t2rQpP+oDAADIkd1BplChQmrXrp1iYmJ05swZTZ06VceOHVOzZs1UqVKl/KgRAAAgW3ZP9r1Z4cKFFR4ergsXLuiPP/7Q/v3786ouAACAO7qrL428fPmyYmJi1KZNG5UrV05RUVHq3Lmzfvnll7yuDwAAIEd2j8h06dJFX3/9tQoXLqynn35aI0eOVGhoaH7UBgAAcFt2BxlnZ2ctWbJE4eHhcnZ2tlm3b98+1ahRI8+KAwAAuB27g0xMTIzN8sWLF/XJJ59o7ty52rFjB5djAwCAe+au5shI0o8//qgePXqoTJkyevfdd9W8eXNt3rw5L2sDAAC4LbtGZBISEjR//nzNmzdPKSkpevrpp5WWlqYVK1aoevXq+VUjAABAtnI9ItO+fXtVrVpVe/bsUVRUlE6dOqXp06f/rSefNWuWatWqJS8vL3l5eSk0NFSrVq2yrr969ar69eunEiVKyNPTUxEREUpMTPxbzwkAAO4fuQ4yq1atUq9evTRmzBi1bds2y0Tfu/HAAw9owoQJ2rFjh7Zv367mzZurY8eO1su4IyMj9dVXX2np0qX64YcfdOrUKT3xxBN/+3kBAMD9IddBZsOGDbp48aKCg4MVEhKi999/X2fPnv1bT96+fXu1adNGgYGBqlKlisaOHStPT09t3rxZycnJmjdvnqZMmaLmzZsrODhY0dHR2rRpE3NxAACAJDuCTP369TVnzhydPn1aL7/8shYvXqyyZcsqMzNTa9eu1cWLF/9WIRkZGVq8eLEuXbqk0NBQ7dixQ9euXVNYWJh1m2rVqikgIEBxcXE59pOWlqaUlBSbBwAAuD/ZfdVSkSJF9OKLL2rDhg3au3evhgwZogkTJqh06dLq0KGD3QXs3btXnp6ecnNz07/+9S99/vnnql69uhISEuTq6qpixYrZbO/r66uEhIQc+xs/fry8vb2tD39/f7trAgAA5nDXl19LUtWqVTVp0iSdOHFCn3zyyV33sWvXLm3ZskV9+/ZVjx499Ouvv951TSNGjFBycrL1cfz48bvuCwAAFGx/60sjb3B2dlanTp3UqVMnu/d1dXVV5cqVJUnBwcHatm2bpk2bpmeeeUbp6elKSkqyGZVJTEyUn59fjv25ubnJzc3N7joAAID5/K0RmfyQmZmptLQ0BQcHy8XFRbGxsdZ1Bw4cUHx8PN/tBAAAJOXRiMzdGjFihFq3bq2AgABdvHhRixYt0vfff681a9bI29tbvXr10uDBg+Xj4yMvLy8NGDBAoaGhql+/viPLBgAABYRDg8yZM2fUvXt3nT59Wt7e3qpVq5bWrFmjli1bSpKmTp0qJycnRUREKC0tTeHh4Zo5c6YjSwYAAAWIQ4PMvHnzbrve3d1dM2bM0IwZM+5RRQAAwEwK3BwZAACA3CLIAAAA0yLIAAAA0yLIAAAA0yLIAAAA0yLIAAAA0yLIAAAA0yLIAAAA0yLIAAAA0yLIAAAA0yLIAAAA0yLIAAAA0yLIAAAA0yLIAAAA0yLIAAAA0yLIAAAA0yLIAAAA0yLIAAAA0yLIAAAA0yLIAAAA0yLIAAAA0yLIAAAA0yLIAAAA0yLIAAAA0yLIAAAA0yLIAAAA0yLIAAAA0yLIAAAA0yLIAAAA0yLIAAAA0yLIAAAA0yLIAAAA0yLIAAAA03JokBk/frzq1q2rokWLqnTp0urUqZMOHDhgs83Vq1fVr18/lShRQp6enoqIiFBiYqKDKgYAAAWJQ4PMDz/8oH79+mnz5s1au3atrl27platWunSpUvWbSIjI/XVV19p6dKl+uGHH3Tq1Ck98cQTDqwaAAAUFIUc+eSrV6+2WZ4/f75Kly6tHTt2qHHjxkpOTta8efO0aNEiNW/eXJIUHR2toKAgbd68WfXr13dE2QAAoIAoUHNkkpOTJUk+Pj6SpB07dujatWsKCwuzblOtWjUFBAQoLi7OITUCAICCw6EjMjfLzMzUoEGD1LBhQ9WoUUOSlJCQIFdXVxUrVsxmW19fXyUkJGTbT1pamtLS0qzLKSkp+VYzAABwrAIzItOvXz/t27dPixcv/lv9jB8/Xt7e3taHv79/HlUIAAAKmgIRZPr376+vv/5a69ev1wMPPGBt9/PzU3p6upKSkmy2T0xMlJ+fX7Z9jRgxQsnJydbH8ePH87N0AADgQA4NMoZhqH///vr888+1bt06VaxY0WZ9cHCwXFxcFBsba207cOCA4uPjFRoamm2fbm5u8vLysnkAAID7k0PnyPTr10+LFi3SF198oaJFi1rnvXh7e8vDw0Pe3t7q1auXBg8eLB8fH3l5eWnAgAEKDQ3liiUAAODYIDNr1ixJUtOmTW3ao6Oj1bNnT0nS1KlT5eTkpIiICKWlpSk8PFwzZ868x5UCAICCyKFBxjCMO27j7u6uGTNmaMaMGfegIgAAYCYFYrIvAADA3SDIAAAA0yLIAAAA0yLIAAAA0yLIAAAA0yLIAAAA0yLIAAAA0yLIAAAA0yLIAAAA0yLIAAAA0yLIAAAA0yLIAAAA0yLIAAAA0yLIAAAA0yLIAAAA0yLIAAAA0yLIAAAA0yLIAAAA0yLIAAAA0yLIAAAA0yLIAAAA0yLIAAAA0yLIAAAA0yLIAAAA0yLIAAAA0yLIAAAA0yLIAAAA0yLIAAAA0yLIAAAA0yLIAAAA0yLIAAAA0yLIAAAA0yLIAAAA0yLIAAAA03JokPnxxx/Vvn17lS1bVhaLRStWrLBZbxiGRo0apTJlysjDw0NhYWE6dOiQY4oFAAAFjkODzKVLl/Twww9rxowZ2a6fNGmS3nvvPc2ePVtbtmxRkSJFFB4erqtXr97jSgEAQEFUyJFP3rp1a7Vu3TrbdYZhKCoqSm+++aY6duwoSfroo4/k6+urFStWqEuXLveyVAAAUAAV2DkyR48eVUJCgsLCwqxt3t7eCgkJUVxcXI77paWlKSUlxeYBAADuTwU2yCQkJEiSfH19bdp9fX2t67Izfvx4eXt7Wx/+/v75WicAAHCcAhtk7taIESOUnJxsfRw/ftzRJQEAgHxSYIOMn5+fJCkxMdGmPTEx0bouO25ubvLy8rJ5AACA+1OBDTIVK1aUn5+fYmNjrW0pKSnasmWLQkNDHVgZAAAoKBx61VJqaqoOHz5sXT569Kh27dolHx8fBQQEaNCgQXr77bcVGBioihUrauTIkSpbtqw6derkuKIBAECB4dAgs337djVr1sy6PHjwYElSjx49NH/+fA0fPlyXLl1Snz59lJSUpEaNGmn16tVyd3d3VMkAAKAAcWiQadq0qQzDyHG9xWLRW2+9pbfeeuseVgUAAMyiwM6RAQAAuBOCDAAAMC2CDAAAMC2CDAAAMC2CDAAAMC2CDAAAMC2CDAAAMC2CDAAAMC2CDAAAMC2CDAAAMC2CDAAAMC2CDAAAMC2CDAAAMC2CDAAAMC2CDAAAMC2CDAAAMC2CDAAAMC2CDAAAMC2CDAAAMC2CDAAAMC2CDAAAMC2CDAAAMC2CDAAAMC2CDAAAMC2CDAAAMC2CDAAAMC2CDAAAMC2CDAAAMC2CDAAAMC2CDAAAMC2CDAAAMC2CDAAAMC2CDAAAMC1TBJkZM2aoQoUKcnd3V0hIiLZu3erokgAAQAFQ4IPMp59+qsGDB2v06NHauXOnHn74YYWHh+vMmTOOLg0AADhYgQ8yU6ZMUe/evfXCCy+oevXqmj17tgoXLqz//e9/ji4NAAA4WIEOMunp6dqxY4fCwsKsbU5OTgoLC1NcXJwDKwMAAAVBIUcXcDtnz55VRkaGfH19bdp9fX3122+/ZbtPWlqa0tLSrMvJycmSpJSUlDyvLzPtcp73eT/Lq9eA824fzvu9l5c/bzjvucd5d4z8+P16c7+GYdx2uwIdZO7G+PHjNWbMmCzt/v7+DqgGN/OOcnQF/0yc93uPc+4YnHfHyO/zfvHiRXl7e+e4vkAHmZIlS8rZ2VmJiYk27YmJifLz88t2nxEjRmjw4MHW5czMTJ0/f14lSpSQxWLJ13oLgpSUFPn7++v48ePy8vJydDn/GJx3x+C8Owbn3TH+aefdMAxdvHhRZcuWve12BTrIuLq6Kjg4WLGxserUqZOkv4JJbGys+vfvn+0+bm5ucnNzs2krVqxYPlda8Hh5ef0j3ugFDefdMTjvjsF5d4x/0nm/3UjMDQU6yEjS4MGD1aNHD9WpU0f16tVTVFSULl26pBdeeMHRpQEAAAcr8EHmmWee0Z9//qlRo0YpISFBjzzyiFavXp1lAjAAAPjnKfBBRpL69++f40dJsOXm5qbRo0dn+XgN+Yvz7hicd8fgvDsG5z17FuNO1zUBAAAUUAX6hngAAAC3Q5ABAACmRZABAACmRZAxqWPHjslisWjXrl2SpO+//14Wi0VJSUkOret+0rRpUw0aNOiu958/f/4/8h5G9rr1vZzXLBaLVqxYcU+ey0xufn9XqFBBUVFRf6s/fgYVDHnxWpqNKa5awp01aNBAp0+fztXNg4B/Kn9/f50+fVolS5Z0dCkFyrZt21SkSBFHl4E88E98LQky9wlXV9ccv7YB+CdKT0+Xq6urTZuzszP/T7JRqlQpR5eAv+nG+/2f+Fry0VIBtnr1ajVq1EjFihVTiRIl1K5dOx05ciTbbbMb1t24caOaNm2qwoULq3jx4goPD9eFCxck/fVVD+PHj1fFihXl4eGhhx9+WJ999tm9OCxTuX79uvr37y9vb2+VLFlSI0eOtH4T64ULF9S9e3cVL15chQsXVuvWrXXo0KEsfaxYsUKBgYFyd3dXeHi4jh8/fq8Po0DIzMzUpEmTVLlyZbm5uSkgIEBjx461rv/999/VrFkzFS5cWA8//LDi4uKs686dO6euXbuqXLlyKly4sGrWrKlPPvnEpv+mTZuqf//+GjRokEqWLKnw8PAsNWT30dK+ffvUunVreXp6ytfXV926ddPZs2fz/gQUYLd+HGGxWDR37lx17txZhQsXVmBgoL788kubfb755htVqVJFHh4eatasmY4dO2azPjev2T9F06ZNNWDAAA0aNEjFixeXr6+v5syZY71LfdGiRVW5cmWtWrVKkpSRkaFevXpZfz5XrVpV06ZNs+mzZ8+e6tSpk8aOHauyZcuqatWqkrK+llOmTFHNmjVVpEgR+fv765VXXlFqauo9O/Z7gSBTgF26dEmDBw/W9u3bFRsbKycnJ3Xu3FmZmZl33HfXrl1q0aKFqlevrri4OG3YsEHt27dXRkaGpL++Jfyjjz7S7Nmz9csvvygyMlLPP/+8fvjhh/w+LFNZsGCBChUqpK1bt2ratGmaMmWK5s6dK+mvHyTbt2/Xl19+qbi4OBmGoTZt2ujatWvW/S9fvqyxY8fqo48+0saNG5WUlKQuXbo46nAcasSIEZowYYJGjhypX3/9VYsWLbK5Q/cbb7yhoUOHateuXapSpYq6du2q69evS5KuXr2q4OBgrVy5Uvv27VOfPn3UrVs3bd261eY5FixYIFdXV23cuFGzZ8++Y01JSUlq3ry5ateure3bt2v16tVKTEzU008/nbcHb0JjxozR008/rT179qhNmzZ67rnndP78eUnS8ePH9cQTT6h9+/batWuXXnrpJb3++us2++f2NfunWLBggUqWLKmtW7dqwIAB6tu3r5566ik1aNBAO3fuVKtWrdStWzddvnxZmZmZeuCBB7R06VL9+uuvGjVqlP79739ryZIlNn3GxsbqwIEDWrt2rb7++utsn9fJyUnvvfeefvnlFy1YsEDr1q3T8OHD78Uh3zsGTOPPP/80JBl79+41jh49akgyfv75Z8MwDGP9+vWGJOPChQuGYRhG165djYYNG2bbz9WrV43ChQsbmzZtsmnv1auX0bVr1/w8BFNp0qSJERQUZGRmZlrbXnvtNSMoKMg4ePCgIcnYuHGjdd3Zs2cNDw8PY8mSJYZhGEZ0dLQhydi8ebN1m/379xuSjC1btty7AykAUlJSDDc3N2POnDlZ1t14L8+dO9fa9ssvvxiSjP379+fYZ9u2bY0hQ4ZYl5s0aWLUrl07y3aSjM8//9zmuW78v/nvf/9rtGrVymb748ePG5KMAwcO2HOIptOkSRNj4MCBhmEYRvny5Y2pU6da10ky3nzzTetyamqqIclYtWqVYRiGMWLECKN69eo2/b322ms2P4Oyc+tr9k/RpEkTo1GjRtbl69evG0WKFDG6detmbTt9+rQhyYiLi8u2j379+hkRERHW5R49ehi+vr5GWlqazXa3vpa3Wrp0qVGiRIm7PJKCiTkyBdihQ4c0atQobdmyRWfPnrWOxMTHx6t69eq33XfXrl166qmnsl13+PBhXb58WS1btrRpT09PV+3atfOm+PtE/fr1ZbFYrMuhoaGaPHmyfv31VxUqVEghISHWdSVKlFDVqlW1f/9+a1uhQoVUt25d63K1atVUrFgx7d+/X/Xq1bs3B1EA7N+/X2lpaWrRokWO29SqVcv67zJlykiSzpw5o2rVqikjI0Pjxo3TkiVLdPLkSaWnpystLU2FCxe26SM4ONiuunbv3q3169fL09Mzy7ojR46oSpUqdvV3P7n59ShSpIi8vLx05swZSX+9nje/96W//m/cLLev2T/FzefT2dlZJUqUUM2aNa1tN0Ynb5zjGTNm6H//+5/i4+N15coVpaen65FHHrHps2bNmlnmgd3qu+++0/jx4/Xbb78pJSVF169f19WrV3X58uX75rUgyBRg7du3V/ny5TVnzhyVLVtWmZmZqlGjhtLT0++4r4eHR47rbnw+unLlSpUrV85mHd/hgfxwu/fjDS4uLtZ/3wiPN8L7O++8o2nTpikqKsr6ef+gQYOy/F+w92qN1NRUtW/fXhMnTsyy7kaY+qe6+fWQ/npNcvOx9g25fc3+KbI7nzm95xcvXqyhQ4dq8uTJCg0NVdGiRfXOO+9oy5YtNn3c6f1+7NgxtWvXTn379tXYsWPl4+OjDRs2qFevXkpPTyfIIH+dO3dOBw4c0Jw5c/TYY49JkjZs2JDr/WvVqqXY2FiNGTMmy7rq1avLzc1N8fHxatKkSZ7VfD+69QfH5s2bFRgYqOrVq+v69evasmWLGjRoIOn/XrObR8uuX7+u7du3W0dfDhw4oKSkJAUFBd27gygAAgMD5eHhodjYWL300kt2779x40Z17NhRzz//vKS/ftgfPHjwjiOTd/Loo49q2bJlqlChggoV4sdhbgUFBWWZ/Lt582ab5fx6zf4JNm7cqAYNGuiVV16xtuV0ocft7NixQ5mZmZo8ebKcnP6aEnvrPJv7AZN9C6jixYurRIkS+vDDD3X48GGtW7dOgwcPzvX+I0aM0LZt2/TKK69oz549+u233zRr1iydPXtWRYsW1dChQxUZGakFCxboyJEj2rlzp6ZPn64FCxbk41GZT3x8vAYPHqwDBw7ok08+0fTp0zVw4EAFBgaqY8eO6t27tzZs2KDdu3fr+eefV7ly5dSxY0fr/i4uLhowYIC2bNmiHTt2qGfPnqpfv/4/6mMlSXJ3d9drr72m4cOH66OPPtKRI0e0efNmzZs3L1f7BwYGau3atdq0aZP279+vl19+WYmJiX+7rn79+un8+fPq2rWrtm3bpiNHjmjNmjV64YUXrBPjkdW//vUvHTp0SMOGDdOBAwe0aNEizZ8/32ab/HrN/gkCAwO1fft2rVmzRgcPHtTIkSO1bds2u/upXLmyrl27punTp+v333/Xxx9/nKtJ8GZDkCmgnJyctHjxYu3YsUM1atRQZGSk3nnnnVzvX6VKFX377bfavXu36tWrp9DQUH3xxRfWvzr/+9//auTIkRo/fryCgoL0+OOPa+XKlapYsWJ+HZIpde/eXVeuXFG9evXUr18/DRw4UH369JEkRUdHKzg4WO3atVNoaKgMw9A333xjM1xcuHBhvfbaa3r22WfVsGFDeXp66tNPP3XU4TjUyJEjNWTIEI0aNUpBQUF65plnrPMB7uTNN9/Uo48+qvDwcDVt2lR+fn7q1KnT366pbNmy2rhxozIyMtSqVSvVrFlTgwYNUrFixax/wSKrgIAALVu2TCtWrNDDDz+s2bNna9y4cTbb5Ndr9k/w8ssv64knntAzzzyjkJAQnTt3zmZ0JrcefvhhTZkyRRMnTlSNGjUUExOj8ePH50PFjmUxjP9/UwwAAACT4U8OAABgWgQZAABgWgQZAABgWgQZAABgWgQZAABgWgQZAABgWgQZAABgWgQZAKbXtGlTDRo0yNFlAHAAggyAfPHnn3+qb9++CggIkJubm/z8/BQeHq6NGzdK+utL8lasWOHYIm+jZ8+e3IkWMAG+JQ1AvoiIiFB6eroWLFigBx98UImJiYqNjdW5c+ccXRqA+wgjMgDyXFJSkn766SdNnDhRzZo1U/ny5VWvXj2NGDFCHTp0UIUKFSRJnTt3lsVisS5nNwoyaNAgNW3a1Lp86dIlde/eXZ6enipTpowmT56c5fnT0tI0dOhQlStXTkWKFFFISIi+//576/r58+erWLFiWrNmjYKCguTp6anHH39cp0+fliT95z//0YIFC/TFF1/IYrHIYrHY7A+g4CDIAMhznp6e8vT01IoVK5SWlpZl/Y1v8o2Ojtbp06ft+mbfYcOG6YcfftAXX3yhb7/9Vt9//7127txps03//v0VFxenxYsXa8+ePXrqqaf0+OOP69ChQ9ZtLl++rHfffVcff/yxfvzxR8XHx2vo0KGSpKFDh+rpp5+2hpvTp0+rQYMGd3MqAOQzggyAPFeoUCHNnz9fCxYsULFixdSwYUP9+9//1p49eyRJpUqVkiQVK1ZMfn5+1uU7SU1N1bx58/Tuu++qRYsWqlmzphYsWKDr169bt4mPj1d0dLSWLl2qxx57TJUqVdLQoUPVqFEjRUdHW7e7du2aZs+erTp16ujRRx9V//79FRsbK+mvIObh4WGd2+Pn5ydXV9e8Oj0A8hBBBkC+iIiI0KlTp/Tll1/q8ccf1/fff69HH31U8+fPv+s+jxw5ovT0dIWEhFjbfHx8VLVqVevy3r17lZGRoSpVqlhHhjw9PfXDDz/oyJEj1u0KFy6sSpUqWZfLlCmjM2fO3HVtAByDyb4A8o27u7tatmypli1bauTIkXrppZc0evRo9ezZM9vtnZycZBiGTdu1a9fses7U1FQ5Oztrx44dcnZ2tlnn6elp/beLi4vNOovFkuW5ARR8jMgAuGeqV6+uS5cuSforSGRkZNisL1WqlHXC7Q27du2y/rtSpUpycXHRli1brG0XLlzQwYMHrcu1a9dWRkaGzpw5o8qVK9s8/Pz8cl2rq6trlvoAFDwEGQB57ty5c2revLkWLlyoPXv26OjRo1q6dKkmTZqkjh07SpIqVKig2NhYJSQk6MKFC5Kk5s2ba/v27froo4906NAhjR49Wvv27bP26+npqV69emnYsGFat26d9u3bp549e8rJ6f9+lFWpUkXPPfecunfvruXLl+vo0aPaunWrxo8fr5UrV+b6GCpUqKA9e/bowIEDOnv2rN0jQwDuDYIMgDzn6empkJAQTZ06VY0bN1aNGjU0cuRI9e7dW++//74kafLkyVq7dq38/f1Vu3ZtSVJ4eLhGjhyp4cOHq27durp48aK6d+9u0/c777yjxx57TO3bt1dYWJgaNWqk4OBgm22io6PVvXt3DRkyRFWrVlWnTp20bds2BQQE5PoYevfurapVq6pOnToqVaqU9UZ+AAoWi8GHwgAAwKQYkQEAAKZFkAEAAKZFkAEAAKZFkAEAAKZFkAEAAKZFkAEAAKZFkAEAAKZFkAEAAKZFkAEAAKZFkAEAAKZFkAEAAKZFkAEAAKb1/wBYTegoKI+zxAAAAABJRU5ErkJggg==\n"
          },
          "metadata": {}
        }
      ],
      "source": [
        "# Your code here"
      ]
    },
    {
      "cell_type": "code",
      "source": [],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 564
        },
        "id": "5U_3iapEWd42",
        "outputId": "565e224e-7bfb-41a3-cf24-9bae3f89f78f"
      },
      "id": "5U_3iapEWd42",
      "execution_count": null,
      "outputs": [
        {
          "output_type": "display_data",
          "data": {
            "text/plain": [
              "<Figure size 800x600 with 1 Axes>"
            ],
            "image/png": "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\n"
          },
          "metadata": {}
        }
      ]
    }
  ],
  "metadata": {
    "kernelspec": {
      "display_name": "Python 3 (ipykernel)",
      "language": "python",
      "name": "python3"
    },
    "language_info": {
      "codemirror_mode": {
        "name": "ipython",
        "version": 3
      },
      "file_extension": ".py",
      "mimetype": "text/x-python",
      "name": "python",
      "nbconvert_exporter": "python",
      "pygments_lexer": "ipython3",
      "version": "3.11.9"
    },
    "colab": {
      "provenance": [],
      "include_colab_link": true
    }
  },
  "nbformat": 4,
  "nbformat_minor": 5
}