Airline_Passengers_dataset.ipynb

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      "source": [
        "import numpy as np\n",
        "import pandas as pd"
      ]
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      "source": [
        "Load Dataset"
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      "source": [
        "df = pd.read_csv('https://raw.githubusercontent.com/jbrownlee/Datasets/master/airline-passengers.csv', encoding='latin-1')\n",
        "df.head()"
      ],
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            "text/plain": [
              "     Month  Passengers\n",
              "0  1949-01         112\n",
              "1  1949-02         118\n",
              "2  1949-03         132\n",
              "3  1949-04         129\n",
              "4  1949-05         121"
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              "<bound method NDFrame.head of        Month  Passengers\n",
              "0    1949-01         112\n",
              "1    1949-02         118\n",
              "2    1949-03         132\n",
              "3    1949-04         129\n",
              "4    1949-05         121\n",
              "..       ...         ...\n",
              "139  1960-08         606\n",
              "140  1960-09         508\n",
              "141  1960-10         461\n",
              "142  1960-11         390\n",
              "143  1960-12         432\n",
              "\n",
              "[144 rows x 2 columns]>"
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              "(144, 2)"
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          "text": [
            "<class 'pandas.core.frame.DataFrame'>\n",
            "RangeIndex: 144 entries, 0 to 143\n",
            "Data columns (total 2 columns):\n",
            " #   Column      Non-Null Count  Dtype \n",
            "---  ------      --------------  ----- \n",
            " 0   Month       144 non-null    object\n",
            " 1   Passengers  144 non-null    int64 \n",
            "dtypes: int64(1), object(1)\n",
            "memory usage: 2.4+ KB\n"
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            "text/plain": [
              "Month         0\n",
              "Passengers    0\n",
              "dtype: int64"
            ]
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              "       Month  Passengers\n",
              "139  1960-08         606\n",
              "140  1960-09         508\n",
              "141  1960-10         461\n",
              "142  1960-11         390\n",
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          "data": {
            "text/plain": [
              "Index(['Month', 'Passengers'], dtype='object')"
            ]
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            "text/plain": [
              "       Passengers\n",
              "count  144.000000\n",
              "mean   280.298611\n",
              "std    119.966317\n",
              "min    104.000000\n",
              "25%    180.000000\n",
              "50%    265.500000\n",
              "75%    360.500000\n",
              "max    622.000000"
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              "      <th>25%</th>\n",
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              "    </tr>\n",
              "    <tr>\n",
              "      <th>max</th>\n",
              "      <td>622.000000</td>\n",
              "    </tr>\n",
              "  </tbody>\n",
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              "            '<a target=\"_blank\" href=https://colab.research.google.com/notebooks/data_table.ipynb>data table notebook</a>'\n",
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              "  "
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          "metadata": {},
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      ]
    },
    {
      "cell_type": "markdown",
      "source": [
        "Sorted by number of Passengers"
      ],
      "metadata": {
        "id": "JShZ4RuI2WDr"
      }
    },
    {
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        "df.sort_values([\"Passengers\"], ascending=False).head(10)"
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      "execution_count": 12,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "       Month  Passengers\n",
              "138  1960-07         622\n",
              "139  1960-08         606\n",
              "127  1959-08         559\n",
              "126  1959-07         548\n",
              "137  1960-06         535\n",
              "140  1960-09         508\n",
              "115  1958-08         505\n",
              "114  1958-07         491\n",
              "136  1960-05         472\n",
              "125  1959-06         472"
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              "                                                     [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",
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          "metadata": {},
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    {
      "cell_type": "markdown",
      "source": [
        "Sorted by month"
      ],
      "metadata": {
        "id": "S21nZO1x2joI"
      }
    },
    {
      "cell_type": "code",
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        "df.sort_values([\"Month\"], ascending=False).head(10)"
      ],
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      "execution_count": 14,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "       Month  Passengers\n",
              "143  1960-12         432\n",
              "142  1960-11         390\n",
              "141  1960-10         461\n",
              "140  1960-09         508\n",
              "139  1960-08         606\n",
              "138  1960-07         622\n",
              "137  1960-06         535\n",
              "136  1960-05         472\n",
              "135  1960-04         461\n",
              "134  1960-03         419"
            ],
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              "\n",
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              "            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",
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              "  </div>\n",
              "  "
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          "metadata": {},
          "execution_count": 14
        }
      ]
    }
  ]
}