03_01_begin_solution.ipynb

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      "source": [
        "# Handling missing values"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": 1,
      "id": "5a9a92a6",
      "metadata": {
        "id": "5a9a92a6"
      },
      "outputs": [],
      "source": [
        "import pandas as pd"
      ]
    },
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          "data": {
            "text/plain": [
              "   id     date   time   country_name state/province  population  \\\n",
              "0  34   3/2/07  Night  United States       Virginia       16000   \n",
              "1  42  3/22/07    NaN  United States           Ohio       17288   \n",
              "2  56   4/6/07    NaN  United States   Pennsylvania       15930   \n",
              "3  59  4/14/07    NaN         Canada         Quebec       42786   \n",
              "4  61  4/15/07    NaN  United States       Kentucky        6903   \n",
              "\n",
              "       landslide_type   trigger  fatalities  \n",
              "0           Landslide      Rain         NaN  \n",
              "1           Landslide      Rain         NaN  \n",
              "2           Landslide      Rain         NaN  \n",
              "3  Riverbank collapse      Rain         NaN  \n",
              "4           Landslide  Downpour         0.0  "
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      ],
      "source": [
        "df = pd.read_csv(\"https://raw.githubusercontent.com/arshad831/panda-challenge/main/data/landslides.csv\")\n",
        "df.head()"
      ]
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    {
      "cell_type": "markdown",
      "id": "0524fad8",
      "metadata": {
        "id": "0524fad8"
      },
      "source": [
        "## Check and handle missing values"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": 3,
      "id": "c15ed220",
      "metadata": {
        "id": "c15ed220",
        "outputId": "625e100f-88b3-4f74-a016-b2d5d39552d8",
        "colab": {
          "base_uri": "https://localhost:8080/"
        }
      },
      "outputs": [
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "<class 'pandas.core.frame.DataFrame'>\n",
            "RangeIndex: 1693 entries, 0 to 1692\n",
            "Data columns (total 9 columns):\n",
            " #   Column          Non-Null Count  Dtype  \n",
            "---  ------          --------------  -----  \n",
            " 0   id              1693 non-null   int64  \n",
            " 1   date            1690 non-null   object \n",
            " 2   time            629 non-null    object \n",
            " 3   country_name    1693 non-null   object \n",
            " 4   state/province  1692 non-null   object \n",
            " 5   population      1693 non-null   int64  \n",
            " 6   landslide_type  1692 non-null   object \n",
            " 7   trigger         1691 non-null   object \n",
            " 8   fatalities      1446 non-null   float64\n",
            "dtypes: float64(1), int64(2), object(6)\n",
            "memory usage: 119.2+ KB\n"
          ]
        }
      ],
      "source": [
        "df.info()"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": 17,
      "id": "07585864",
      "metadata": {
        "id": "07585864",
        "outputId": "e68ed9d3-719f-4904-f9fb-4b04213d9439",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 130
        }
      },
      "outputs": [
        {
          "output_type": "error",
          "ename": "SyntaxError",
          "evalue": "ignored",
          "traceback": [
            "\u001b[0;36m  File \u001b[0;32m\"<ipython-input-17-54b36ff9b058>\"\u001b[0;36m, line \u001b[0;32m2\u001b[0m\n\u001b[0;31m    df.['country_name'].value_counts()\u001b[0m\n\u001b[0m       ^\u001b[0m\n\u001b[0;31mSyntaxError\u001b[0m\u001b[0;31m:\u001b[0m invalid syntax\n"
          ]
        }
      ],
      "source": [
        "#df.groupby('country_name').count(dropna=False)\n",
        "df.['country_name'].value_counts()"
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "#df.landslide_type.isna().sum()\n",
        "df.groupby('landslide_type').count()"
      ],
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        "id": "tQ_EUFPRX0YF",
        "outputId": "1271a74e-8070-41e2-f7ac-a47ac6534452",
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          "height": 520
        }
      },
      "id": "tQ_EUFPRX0YF",
      "execution_count": 33,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "                     id  date  time  country_name  state/province  population  \\\n",
              "landslide_type                                                                  \n",
              "Complex              48    48    14            48              48          48   \n",
              "Creep                 5     5     2             5               5           5   \n",
              "Debris flow          38    38    19            38              38          38   \n",
              "Lahar                 2     2     2             2               2           2   \n",
              "Landslide           866   864   236           866             866         866   \n",
              "Mudslide            635   634   302           635             634         635   \n",
              "Other                14    14     6            14              14          14   \n",
              "Riverbank collapse    5     5     0             5               5           5   \n",
              "Rockfall             70    70    45            70              70          70   \n",
              "Rockslide             1     1     0             1               1           1   \n",
              "Snow avalanche        2     2     1             2               2           2   \n",
              "Unknown               1     1     0             1               1           1   \n",
              "landslide             1     1     0             1               1           1   \n",
              "mudslide              4     4     1             4               4           4   \n",
              "\n",
              "                    trigger  fatalities  \n",
              "landslide_type                           \n",
              "Complex                  48          37  \n",
              "Creep                     5           5  \n",
              "Debris flow              38          31  \n",
              "Lahar                     2           1  \n",
              "Landslide               865         730  \n",
              "Mudslide                635         549  \n",
              "Other                    14          14  \n",
              "Riverbank collapse        5           4  \n",
              "Rockfall                 69          65  \n",
              "Rockslide                 1           1  \n",
              "Snow avalanche            2           2  \n",
              "Unknown                   1           1  \n",
              "landslide                 1           1  \n",
              "mudslide                  4           4  "
            ],
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              "\n",
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              "      <th>Complex</th>\n",
              "      <td>48</td>\n",
              "      <td>48</td>\n",
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              "      <td>48</td>\n",
              "      <td>48</td>\n",
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              "      <th>Creep</th>\n",
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              "      <td>5</td>\n",
              "      <td>5</td>\n",
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              "    <tr>\n",
              "      <th>Debris flow</th>\n",
              "      <td>38</td>\n",
              "      <td>38</td>\n",
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              "      <td>38</td>\n",
              "      <td>38</td>\n",
              "      <td>38</td>\n",
              "      <td>38</td>\n",
              "      <td>31</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>Lahar</th>\n",
              "      <td>2</td>\n",
              "      <td>2</td>\n",
              "      <td>2</td>\n",
              "      <td>2</td>\n",
              "      <td>2</td>\n",
              "      <td>2</td>\n",
              "      <td>2</td>\n",
              "      <td>1</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>Landslide</th>\n",
              "      <td>866</td>\n",
              "      <td>864</td>\n",
              "      <td>236</td>\n",
              "      <td>866</td>\n",
              "      <td>866</td>\n",
              "      <td>866</td>\n",
              "      <td>865</td>\n",
              "      <td>730</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>Mudslide</th>\n",
              "      <td>635</td>\n",
              "      <td>634</td>\n",
              "      <td>302</td>\n",
              "      <td>635</td>\n",
              "      <td>634</td>\n",
              "      <td>635</td>\n",
              "      <td>635</td>\n",
              "      <td>549</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>Other</th>\n",
              "      <td>14</td>\n",
              "      <td>14</td>\n",
              "      <td>6</td>\n",
              "      <td>14</td>\n",
              "      <td>14</td>\n",
              "      <td>14</td>\n",
              "      <td>14</td>\n",
              "      <td>14</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>Riverbank collapse</th>\n",
              "      <td>5</td>\n",
              "      <td>5</td>\n",
              "      <td>0</td>\n",
              "      <td>5</td>\n",
              "      <td>5</td>\n",
              "      <td>5</td>\n",
              "      <td>5</td>\n",
              "      <td>4</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>Rockfall</th>\n",
              "      <td>70</td>\n",
              "      <td>70</td>\n",
              "      <td>45</td>\n",
              "      <td>70</td>\n",
              "      <td>70</td>\n",
              "      <td>70</td>\n",
              "      <td>69</td>\n",
              "      <td>65</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>Rockslide</th>\n",
              "      <td>1</td>\n",
              "      <td>1</td>\n",
              "      <td>0</td>\n",
              "      <td>1</td>\n",
              "      <td>1</td>\n",
              "      <td>1</td>\n",
              "      <td>1</td>\n",
              "      <td>1</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>Snow avalanche</th>\n",
              "      <td>2</td>\n",
              "      <td>2</td>\n",
              "      <td>1</td>\n",
              "      <td>2</td>\n",
              "      <td>2</td>\n",
              "      <td>2</td>\n",
              "      <td>2</td>\n",
              "      <td>2</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>Unknown</th>\n",
              "      <td>1</td>\n",
              "      <td>1</td>\n",
              "      <td>0</td>\n",
              "      <td>1</td>\n",
              "      <td>1</td>\n",
              "      <td>1</td>\n",
              "      <td>1</td>\n",
              "      <td>1</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>landslide</th>\n",
              "      <td>1</td>\n",
              "      <td>1</td>\n",
              "      <td>0</td>\n",
              "      <td>1</td>\n",
              "      <td>1</td>\n",
              "      <td>1</td>\n",
              "      <td>1</td>\n",
              "      <td>1</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>mudslide</th>\n",
              "      <td>4</td>\n",
              "      <td>4</td>\n",
              "      <td>1</td>\n",
              "      <td>4</td>\n",
              "      <td>4</td>\n",
              "      <td>4</td>\n",
              "      <td>4</td>\n",
              "      <td>4</td>\n",
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          "metadata": {},
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      "execution_count": 34,
      "outputs": [
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          "output_type": "execute_result",
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              "id                   0\n",
              "date                 3\n",
              "time              1064\n",
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              "fatalities         247\n",
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      "execution_count": 39,
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              "        id date     time   country_name state/province  population  \\\n",
              "1482  7042  NaN  Morning  United States         Kansas         857   \n",
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              "\n",
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      "execution_count": 41,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "Night            97\n",
              "Morning          88\n",
              "Afternoon        58\n",
              "Early morning    36\n",
              "3:00:00          12\n",
              "                 ..\n",
              "1:13              1\n",
              "9:40:00           1\n",
              "11:50:00          1\n",
              "                  1\n",
              "21:06             1\n",
              "Name: time, Length: 159, dtype: int64"
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          "execution_count": 41
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      "outputs": [
        {
          "output_type": "execute_result",
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              "0"
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          "metadata": {},
          "execution_count": 44
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      "cell_type": "code",
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      "id": "mzxBMGS2uxXi",
      "execution_count": 43,
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      "id": "vjx4XZh5vD3h",
      "execution_count": 46,
      "outputs": [
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "<class 'pandas.core.frame.DataFrame'>\n",
            "RangeIndex: 1693 entries, 0 to 1692\n",
            "Data columns (total 9 columns):\n",
            " #   Column          Non-Null Count  Dtype  \n",
            "---  ------          --------------  -----  \n",
            " 0   id              1693 non-null   int64  \n",
            " 1   date            1690 non-null   object \n",
            " 2   time            1693 non-null   object \n",
            " 3   country_name    1693 non-null   object \n",
            " 4   state/province  1692 non-null   object \n",
            " 5   population      1693 non-null   int64  \n",
            " 6   landslide_type  1692 non-null   object \n",
            " 7   trigger         1691 non-null   object \n",
            " 8   fatalities      1446 non-null   float64\n",
            "dtypes: float64(1), int64(2), object(6)\n",
            "memory usage: 119.2+ KB\n"
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          "execution_count": 54
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              "1.4591977869986168"
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          "metadata": {},
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      "id": "bEOnQ10XvMBf",
      "execution_count": 53,
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