Data_visualisation_for_flights_delays.ipynb

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    "colab": {
      "name": "Copy of Data visualisation for flights delays.ipynb",
      "provenance": [],
      "authorship_tag": "ABX9TyPSmGHJBKm0Sv9b3b3l8TIy",
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      "name": "python3",
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      "name": "python"
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    {
      "cell_type": "markdown",
      "metadata": {
        "id": "view-in-github",
        "colab_type": "text"
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      "source": [
        "<a href=\"https://colab.research.google.com/github/natnew/100-Days-of-Data-Science/blob/main/Data_visualisation_for_flights_delays.ipynb\" target=\"_parent\"><img src=\"https://colab.research.google.com/assets/colab-badge.svg\" alt=\"Open In Colab\"/></a>"
      ]
    },
    {
      "cell_type": "markdown",
      "source": [
        "# Load libraries"
      ],
      "metadata": {
        "id": "350-20KSvBZL"
      }
    },
    {
      "cell_type": "code",
      "execution_count": null,
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "9-hCYBKNuvFm",
        "outputId": "cb1d0d94-296f-4ce7-ddb4-9eb86aa1194b"
      },
      "outputs": [
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "Setup Complete\n"
          ]
        }
      ],
      "source": [
        "import pandas as pd\n",
        "pd.plotting.register_matplotlib_converters()\n",
        "import matplotlib.pyplot as plt\n",
        "%matplotlib inline\n",
        "import seaborn as sns\n",
        "print(\"Setup Complete\")"
      ]
    },
    {
      "cell_type": "markdown",
      "source": [
        "# Load data"
      ],
      "metadata": {
        "id": "4xgeAzH0vENT"
      }
    },
    {
      "cell_type": "code",
      "source": [
        "# Path of the file to read\n",
        "flight_filepath = \"flight_delays.csv\"\n",
        "\n",
        "# Read the file into a variable flight_data\n",
        "flight_data = pd.read_csv(flight_filepath, index_col=\"Month\")"
      ],
      "metadata": {
        "id": "ExePYco1vAe2"
      },
      "execution_count": null,
      "outputs": []
    },
    {
      "cell_type": "markdown",
      "source": [
        "# Examine Data"
      ],
      "metadata": {
        "id": "-kxzVmY6vUz6"
      }
    },
    {
      "cell_type": "code",
      "source": [
        "# Print the data\n",
        "flight_data"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 521
        },
        "id": "a22-ukZuvWQd",
        "outputId": "58697451-050f-4557-8cac-e59ffb6aaca7"
      },
      "execution_count": null,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
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              "      <th>DL</th>\n",
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              "      <th>Month</th>\n",
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              "      <th>1</th>\n",
              "      <td>6.955843</td>\n",
              "      <td>-0.320888</td>\n",
              "      <td>7.347281</td>\n",
              "      <td>-2.043847</td>\n",
              "      <td>8.537497</td>\n",
              "      <td>18.357238</td>\n",
              "      <td>3.512640</td>\n",
              "      <td>18.164974</td>\n",
              "      <td>11.398054</td>\n",
              "      <td>10.889894</td>\n",
              "      <td>6.352729</td>\n",
              "      <td>3.107457</td>\n",
              "      <td>1.420702</td>\n",
              "      <td>3.389466</td>\n",
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              "    <tr>\n",
              "      <th>2</th>\n",
              "      <td>7.530204</td>\n",
              "      <td>-0.782923</td>\n",
              "      <td>18.657673</td>\n",
              "      <td>5.614745</td>\n",
              "      <td>10.417236</td>\n",
              "      <td>27.424179</td>\n",
              "      <td>6.029967</td>\n",
              "      <td>21.301627</td>\n",
              "      <td>16.474466</td>\n",
              "      <td>9.588895</td>\n",
              "      <td>7.260662</td>\n",
              "      <td>7.114455</td>\n",
              "      <td>7.784410</td>\n",
              "      <td>3.501363</td>\n",
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              "    <tr>\n",
              "      <th>3</th>\n",
              "      <td>6.693587</td>\n",
              "      <td>-0.544731</td>\n",
              "      <td>10.741317</td>\n",
              "      <td>2.077965</td>\n",
              "      <td>6.730101</td>\n",
              "      <td>20.074855</td>\n",
              "      <td>3.468383</td>\n",
              "      <td>11.018418</td>\n",
              "      <td>10.039118</td>\n",
              "      <td>3.181693</td>\n",
              "      <td>4.892212</td>\n",
              "      <td>3.330787</td>\n",
              "      <td>5.348207</td>\n",
              "      <td>3.263341</td>\n",
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              "    <tr>\n",
              "      <th>4</th>\n",
              "      <td>4.931778</td>\n",
              "      <td>-3.009003</td>\n",
              "      <td>2.780105</td>\n",
              "      <td>0.083343</td>\n",
              "      <td>4.821253</td>\n",
              "      <td>12.640440</td>\n",
              "      <td>0.011022</td>\n",
              "      <td>5.131228</td>\n",
              "      <td>8.766224</td>\n",
              "      <td>3.223796</td>\n",
              "      <td>4.376092</td>\n",
              "      <td>2.660290</td>\n",
              "      <td>0.995507</td>\n",
              "      <td>2.996399</td>\n",
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              "    <tr>\n",
              "      <th>5</th>\n",
              "      <td>5.173878</td>\n",
              "      <td>-1.716398</td>\n",
              "      <td>-0.709019</td>\n",
              "      <td>0.149333</td>\n",
              "      <td>7.724290</td>\n",
              "      <td>13.007554</td>\n",
              "      <td>0.826426</td>\n",
              "      <td>5.466790</td>\n",
              "      <td>22.397347</td>\n",
              "      <td>4.141162</td>\n",
              "      <td>6.827695</td>\n",
              "      <td>0.681605</td>\n",
              "      <td>7.102021</td>\n",
              "      <td>5.680777</td>\n",
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              "    <tr>\n",
              "      <th>6</th>\n",
              "      <td>8.191017</td>\n",
              "      <td>-0.220621</td>\n",
              "      <td>5.047155</td>\n",
              "      <td>4.419594</td>\n",
              "      <td>13.952793</td>\n",
              "      <td>19.712951</td>\n",
              "      <td>0.882786</td>\n",
              "      <td>9.639323</td>\n",
              "      <td>35.561501</td>\n",
              "      <td>8.338477</td>\n",
              "      <td>16.932663</td>\n",
              "      <td>5.766296</td>\n",
              "      <td>5.779415</td>\n",
              "      <td>10.743462</td>\n",
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              "    <tr>\n",
              "      <th>7</th>\n",
              "      <td>3.870440</td>\n",
              "      <td>0.377408</td>\n",
              "      <td>5.841454</td>\n",
              "      <td>1.204862</td>\n",
              "      <td>6.926421</td>\n",
              "      <td>14.464543</td>\n",
              "      <td>2.001586</td>\n",
              "      <td>3.980289</td>\n",
              "      <td>14.352382</td>\n",
              "      <td>6.790333</td>\n",
              "      <td>10.262551</td>\n",
              "      <td>NaN</td>\n",
              "      <td>7.135773</td>\n",
              "      <td>10.504942</td>\n",
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              "      <th>8</th>\n",
              "      <td>3.193907</td>\n",
              "      <td>2.503899</td>\n",
              "      <td>9.280950</td>\n",
              "      <td>0.653114</td>\n",
              "      <td>5.154422</td>\n",
              "      <td>9.175737</td>\n",
              "      <td>7.448029</td>\n",
              "      <td>1.896565</td>\n",
              "      <td>20.519018</td>\n",
              "      <td>5.606689</td>\n",
              "      <td>5.014041</td>\n",
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              "      <td>5.106221</td>\n",
              "      <td>5.532108</td>\n",
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              "      <td>-1.432732</td>\n",
              "      <td>-1.813800</td>\n",
              "      <td>3.539154</td>\n",
              "      <td>-3.703377</td>\n",
              "      <td>0.851062</td>\n",
              "      <td>0.978460</td>\n",
              "      <td>3.696915</td>\n",
              "      <td>-2.167268</td>\n",
              "      <td>8.000101</td>\n",
              "      <td>1.530896</td>\n",
              "      <td>-1.794265</td>\n",
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              "      <td>0.070998</td>\n",
              "      <td>-1.336260</td>\n",
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              "      <td>-0.580930</td>\n",
              "      <td>-2.993617</td>\n",
              "      <td>3.676787</td>\n",
              "      <td>-5.011516</td>\n",
              "      <td>2.303760</td>\n",
              "      <td>0.082127</td>\n",
              "      <td>0.467074</td>\n",
              "      <td>-3.735054</td>\n",
              "      <td>6.810736</td>\n",
              "      <td>1.750897</td>\n",
              "      <td>-2.456542</td>\n",
              "      <td>NaN</td>\n",
              "      <td>2.254278</td>\n",
              "      <td>-0.688851</td>\n",
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              "      <td>0.772630</td>\n",
              "      <td>-1.916516</td>\n",
              "      <td>1.418299</td>\n",
              "      <td>-3.175414</td>\n",
              "      <td>4.415930</td>\n",
              "      <td>11.164527</td>\n",
              "      <td>-2.719894</td>\n",
              "      <td>0.220061</td>\n",
              "      <td>7.543881</td>\n",
              "      <td>4.925548</td>\n",
              "      <td>0.281064</td>\n",
              "      <td>NaN</td>\n",
              "      <td>0.116370</td>\n",
              "      <td>0.995684</td>\n",
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              "      <th>12</th>\n",
              "      <td>4.149684</td>\n",
              "      <td>-1.846681</td>\n",
              "      <td>13.839290</td>\n",
              "      <td>2.504595</td>\n",
              "      <td>6.685176</td>\n",
              "      <td>9.346221</td>\n",
              "      <td>-1.706475</td>\n",
              "      <td>0.662486</td>\n",
              "      <td>12.733123</td>\n",
              "      <td>10.947612</td>\n",
              "      <td>7.012079</td>\n",
              "      <td>NaN</td>\n",
              "      <td>13.498720</td>\n",
              "      <td>6.720893</td>\n",
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            "text/plain": [
              "             AA        AS         B6  ...        US         VX         WN\n",
              "Month                                 ...                                \n",
              "1      6.955843 -0.320888   7.347281  ...  3.107457   1.420702   3.389466\n",
              "2      7.530204 -0.782923  18.657673  ...  7.114455   7.784410   3.501363\n",
              "3      6.693587 -0.544731  10.741317  ...  3.330787   5.348207   3.263341\n",
              "4      4.931778 -3.009003   2.780105  ...  2.660290   0.995507   2.996399\n",
              "5      5.173878 -1.716398  -0.709019  ...  0.681605   7.102021   5.680777\n",
              "6      8.191017 -0.220621   5.047155  ...  5.766296   5.779415  10.743462\n",
              "7      3.870440  0.377408   5.841454  ...       NaN   7.135773  10.504942\n",
              "8      3.193907  2.503899   9.280950  ...       NaN   5.106221   5.532108\n",
              "9     -1.432732 -1.813800   3.539154  ...       NaN   0.070998  -1.336260\n",
              "10    -0.580930 -2.993617   3.676787  ...       NaN   2.254278  -0.688851\n",
              "11     0.772630 -1.916516   1.418299  ...       NaN   0.116370   0.995684\n",
              "12     4.149684 -1.846681  13.839290  ...       NaN  13.498720   6.720893\n",
              "\n",
              "[12 rows x 14 columns]"
            ]
          },
          "metadata": {},
          "execution_count": 3
        }
      ]
    },
    {
      "cell_type": "markdown",
      "source": [
        "# Plot a Bar Chart"
      ],
      "metadata": {
        "id": "ZOMdrXy00WzF"
      }
    },
    {
      "cell_type": "code",
      "source": [
        "# Set the width and height of the figure\n",
        "plt.figure(figsize=(10,6))\n",
        "\n",
        "# Add title\n",
        "plt.title(\"Average Arrival Delay for Spirit Airlines Flights, by Month\")\n",
        "\n",
        "# Bar chart showing average arrival delay for Spirit Airlines flights by month\n",
        "sns.barplot(x=flight_data.index, y=flight_data['NK'])\n",
        "\n",
        "# Add label for vertical axis\n",
        "plt.ylabel(\"Arrival delay (in minutes)\")"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 421
        },
        "id": "6jaq8zTB0Zio",
        "outputId": "d7ed6b07-8c77-4da7-b952-d7dd17e1401b"
      },
      "execution_count": null,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "Text(0, 0.5, 'Arrival delay (in minutes)')"
            ]
          },
          "metadata": {},
          "execution_count": 4
        },
        {
          "output_type": "display_data",
          "data": {
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\n",
            "text/plain": [
              "<Figure size 720x432 with 1 Axes>"
            ]
          },
          "metadata": {
            "needs_background": "light"
          }
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "# Bar chart showing average arrival delay for Spirit Airlines flights by month\n",
        "sns.barplot(x=flight_data.index, y=flight_data['NK'])"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 297
        },
        "id": "HIdYb_Kp0jP7",
        "outputId": "727c4261-8c54-4d7f-a52e-55bf7f925aac"
      },
      "execution_count": null,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "<matplotlib.axes._subplots.AxesSubplot at 0x7ff3417b7910>"
            ]
          },
          "metadata": {},
          "execution_count": 5
        },
        {
          "output_type": "display_data",
          "data": {
            "image/png": 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\n",
            "text/plain": [
              "<Figure size 432x288 with 1 Axes>"
            ]
          },
          "metadata": {
            "needs_background": "light"
          }
        }
      ]
    },
    {
      "cell_type": "markdown",
      "source": [
        "# Plot a Heatmap"
      ],
      "metadata": {
        "id": "Gvshh40F0ofZ"
      }
    },
    {
      "cell_type": "code",
      "source": [
        "# Set the width and height of the figure\n",
        "plt.figure(figsize=(14,7))\n",
        "\n",
        "# Add title\n",
        "plt.title(\"Average Arrival Delay for Each Airline, by Month\")\n",
        "\n",
        "# Heatmap showing average arrival delay for each airline by month\n",
        "sns.heatmap(data=flight_data, annot=True)\n",
        "\n",
        "# Add label for horizontal axis\n",
        "plt.xlabel(\"Airline\")"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 475
        },
        "id": "THmNezl90qcv",
        "outputId": "49d4d5f8-6fc3-4581-ec9f-130880ba1252"
      },
      "execution_count": null,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "Text(0.5, 42.0, 'Airline')"
            ]
          },
          "metadata": {},
          "execution_count": 6
        },
        {
          "output_type": "display_data",
          "data": {
            "image/png": 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\n",
            "text/plain": [
              "<Figure size 1008x504 with 2 Axes>"
            ]
          },
          "metadata": {
            "needs_background": "light"
          }
        }
      ]
    },
    {
      "cell_type": "markdown",
      "source": [
        "# Heatmap showing average arrival delay for each airline by month\n",
        "sns.heatmap(data=flight_data, annot=True)"
      ],
      "metadata": {
        "id": "gjfP5B9D0vk_"
      }
    }
  ]
}