mobile_price_range.ipynb

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      "source": [
        "import pandas as pd\n",
        "#"
      ]
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      "source": [
        "data = pd.read_csv('/content/train.csv')\n",
        "data.head()"
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              "      battery_power  blue  clock_speed  dual_sim  fc  four_g  int_memory  \\\n",
              "0               842     0          2.2         0   1       0           7   \n",
              "1              1021     1          0.5         1   0       1          53   \n",
              "2               563     1          0.5         1   2       1          41   \n",
              "3               615     1          2.5         0   0       0          10   \n",
              "4              1821     1          1.2         0  13       1          44   \n",
              "...             ...   ...          ...       ...  ..     ...         ...   \n",
              "1995            794     1          0.5         1   0       1           2   \n",
              "1996           1965     1          2.6         1   0       0          39   \n",
              "1997           1911     0          0.9         1   1       1          36   \n",
              "1998           1512     0          0.9         0   4       1          46   \n",
              "1999            510     1          2.0         1   5       1          45   \n",
              "\n",
              "      m_dep  mobile_wt  n_cores  ...  px_height  px_width   ram  sc_h  sc_w  \\\n",
              "0       0.6        188        2  ...         20       756  2549     9     7   \n",
              "1       0.7        136        3  ...        905      1988  2631    17     3   \n",
              "2       0.9        145        5  ...       1263      1716  2603    11     2   \n",
              "3       0.8        131        6  ...       1216      1786  2769    16     8   \n",
              "4       0.6        141        2  ...       1208      1212  1411     8     2   \n",
              "...     ...        ...      ...  ...        ...       ...   ...   ...   ...   \n",
              "1995    0.8        106        6  ...       1222      1890   668    13     4   \n",
              "1996    0.2        187        4  ...        915      1965  2032    11    10   \n",
              "1997    0.7        108        8  ...        868      1632  3057     9     1   \n",
              "1998    0.1        145        5  ...        336       670   869    18    10   \n",
              "1999    0.9        168        6  ...        483       754  3919    19     4   \n",
              "\n",
              "      talk_time  three_g  touch_screen  wifi  price_range  \n",
              "0            19        0             0     1            1  \n",
              "1             7        1             1     0            2  \n",
              "2             9        1             1     0            2  \n",
              "3            11        1             0     0            2  \n",
              "4            15        1             1     0            1  \n",
              "...         ...      ...           ...   ...          ...  \n",
              "1995         19        1             1     0            0  \n",
              "1996         16        1             1     1            2  \n",
              "1997          5        1             1     0            3  \n",
              "1998         19        1             1     1            0  \n",
              "1999          2        1             1     1            3  \n",
              "\n",
              "[2000 rows x 21 columns]"
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              "      <td>1411</td>\n",
              "      <td>8</td>\n",
              "      <td>2</td>\n",
              "      <td>15</td>\n",
              "      <td>1</td>\n",
              "      <td>1</td>\n",
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              "      <td>...</td>\n",
              "      <td>...</td>\n",
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              "      <th>1995</th>\n",
              "      <td>794</td>\n",
              "      <td>1</td>\n",
              "      <td>0.5</td>\n",
              "      <td>1</td>\n",
              "      <td>0</td>\n",
              "      <td>1</td>\n",
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              "      <td>0.8</td>\n",
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              "\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",
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              "    20% {\n",
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              "    }\n",
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              "      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-d39021cb-120b-4cea-865c-264fcf3fd5f4 button');\n",
              "      quickchartButtonEl.style.display =\n",
              "        google.colab.kernel.accessAllowed ? 'block' : 'none';\n",
              "    })();\n",
              "  </script>\n",
              "</div>\n",
              "\n",
              "  <div id=\"id_d6e1b2a5-70c4-436d-aaf9-5b0cf5407eae\">\n",
              "    <style>\n",
              "      .colab-df-generate {\n",
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              "        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",
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              "\n",
              "      [theme=dark] .colab-df-generate {\n",
              "        background-color: #3B4455;\n",
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              "\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",
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              "    </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",
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              "      (() => {\n",
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              "        document.querySelector('#id_d6e1b2a5-70c4-436d-aaf9-5b0cf5407eae 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",
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              "\n",
              "    </div>\n",
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            "application/vnd.google.colaboratory.intrinsic+json": {
              "type": "dataframe",
              "variable_name": "data"
            }
          },
          "metadata": {},
          "execution_count": 6
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "data.shape"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "2-2n_FiewPLr",
        "outputId": "aef49e05-c212-4a5a-bc29-5b0159d1226c"
      },
      "execution_count": null,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "(2000, 21)"
            ]
          },
          "metadata": {},
          "execution_count": 5
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "data.columns"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "P1eGGzm3yNeJ",
        "outputId": "b405227f-33fa-45ba-d4fb-99c097645081"
      },
      "execution_count": null,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "Index(['battery_power', 'blue', 'clock_speed', 'dual_sim', 'fc', 'four_g',\n",
              "       'int_memory', 'm_dep', 'mobile_wt', 'n_cores', 'pc', 'px_height',\n",
              "       'px_width', 'ram', 'sc_h', 'sc_w', 'talk_time', 'three_g',\n",
              "       'touch_screen', 'wifi', 'price_range'],\n",
              "      dtype='object')"
            ]
          },
          "metadata": {},
          "execution_count": 7
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "data.info()"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "ckxf42_1yatn",
        "outputId": "81fd9e17-d247-4351-b8fb-646ae1dea868"
      },
      "execution_count": null,
      "outputs": [
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "<class 'pandas.core.frame.DataFrame'>\n",
            "RangeIndex: 2000 entries, 0 to 1999\n",
            "Data columns (total 21 columns):\n",
            " #   Column         Non-Null Count  Dtype  \n",
            "---  ------         --------------  -----  \n",
            " 0   battery_power  2000 non-null   int64  \n",
            " 1   blue           2000 non-null   int64  \n",
            " 2   clock_speed    2000 non-null   float64\n",
            " 3   dual_sim       2000 non-null   int64  \n",
            " 4   fc             2000 non-null   int64  \n",
            " 5   four_g         2000 non-null   int64  \n",
            " 6   int_memory     2000 non-null   int64  \n",
            " 7   m_dep          2000 non-null   float64\n",
            " 8   mobile_wt      2000 non-null   int64  \n",
            " 9   n_cores        2000 non-null   int64  \n",
            " 10  pc             2000 non-null   int64  \n",
            " 11  px_height      2000 non-null   int64  \n",
            " 12  px_width       2000 non-null   int64  \n",
            " 13  ram            2000 non-null   int64  \n",
            " 14  sc_h           2000 non-null   int64  \n",
            " 15  sc_w           2000 non-null   int64  \n",
            " 16  talk_time      2000 non-null   int64  \n",
            " 17  three_g        2000 non-null   int64  \n",
            " 18  touch_screen   2000 non-null   int64  \n",
            " 19  wifi           2000 non-null   int64  \n",
            " 20  price_range    2000 non-null   int64  \n",
            "dtypes: float64(2), int64(19)\n",
            "memory usage: 328.2 KB\n"
          ]
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "data.isnull().sum()"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 742
        },
        "id": "qdLhs6Tg1_3v",
        "outputId": "70ecc909-60c5-42ae-cfab-48368786431b"
      },
      "execution_count": null,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "battery_power    0\n",
              "blue             0\n",
              "clock_speed      0\n",
              "dual_sim         0\n",
              "fc               0\n",
              "four_g           0\n",
              "int_memory       0\n",
              "m_dep            0\n",
              "mobile_wt        0\n",
              "n_cores          0\n",
              "pc               0\n",
              "px_height        0\n",
              "px_width         0\n",
              "ram              0\n",
              "sc_h             0\n",
              "sc_w             0\n",
              "talk_time        0\n",
              "three_g          0\n",
              "touch_screen     0\n",
              "wifi             0\n",
              "price_range      0\n",
              "dtype: int64"
            ],
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              "</div><br><label><b>dtype:</b> int64</label>"
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      "execution_count": null,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "       battery_power       blue  clock_speed     dual_sim           fc  \\\n",
              "count    2000.000000  2000.0000  2000.000000  2000.000000  2000.000000   \n",
              "mean     1238.518500     0.4950     1.522250     0.509500     4.309500   \n",
              "std       439.418206     0.5001     0.816004     0.500035     4.341444   \n",
              "min       501.000000     0.0000     0.500000     0.000000     0.000000   \n",
              "25%       851.750000     0.0000     0.700000     0.000000     1.000000   \n",
              "50%      1226.000000     0.0000     1.500000     1.000000     3.000000   \n",
              "75%      1615.250000     1.0000     2.200000     1.000000     7.000000   \n",
              "max      1998.000000     1.0000     3.000000     1.000000    19.000000   \n",
              "\n",
              "            four_g   int_memory        m_dep    mobile_wt      n_cores  ...  \\\n",
              "count  2000.000000  2000.000000  2000.000000  2000.000000  2000.000000  ...   \n",
              "mean      0.521500    32.046500     0.501750   140.249000     4.520500  ...   \n",
              "std       0.499662    18.145715     0.288416    35.399655     2.287837  ...   \n",
              "min       0.000000     2.000000     0.100000    80.000000     1.000000  ...   \n",
              "25%       0.000000    16.000000     0.200000   109.000000     3.000000  ...   \n",
              "50%       1.000000    32.000000     0.500000   141.000000     4.000000  ...   \n",
              "75%       1.000000    48.000000     0.800000   170.000000     7.000000  ...   \n",
              "max       1.000000    64.000000     1.000000   200.000000     8.000000  ...   \n",
              "\n",
              "         px_height     px_width          ram         sc_h         sc_w  \\\n",
              "count  2000.000000  2000.000000  2000.000000  2000.000000  2000.000000   \n",
              "mean    645.108000  1251.515500  2124.213000    12.306500     5.767000   \n",
              "std     443.780811   432.199447  1084.732044     4.213245     4.356398   \n",
              "min       0.000000   500.000000   256.000000     5.000000     0.000000   \n",
              "25%     282.750000   874.750000  1207.500000     9.000000     2.000000   \n",
              "50%     564.000000  1247.000000  2146.500000    12.000000     5.000000   \n",
              "75%     947.250000  1633.000000  3064.500000    16.000000     9.000000   \n",
              "max    1960.000000  1998.000000  3998.000000    19.000000    18.000000   \n",
              "\n",
              "         talk_time      three_g  touch_screen         wifi  price_range  \n",
              "count  2000.000000  2000.000000   2000.000000  2000.000000  2000.000000  \n",
              "mean     11.011000     0.761500      0.503000     0.507000     1.500000  \n",
              "std       5.463955     0.426273      0.500116     0.500076     1.118314  \n",
              "min       2.000000     0.000000      0.000000     0.000000     0.000000  \n",
              "25%       6.000000     1.000000      0.000000     0.000000     0.750000  \n",
              "50%      11.000000     1.000000      1.000000     1.000000     1.500000  \n",
              "75%      16.000000     1.000000      1.000000     1.000000     2.250000  \n",
              "max      20.000000     1.000000      1.000000     1.000000     3.000000  \n",
              "\n",
              "[8 rows x 21 columns]"
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              "      <th>count</th>\n",
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              "      <td>2000.000000</td>\n",
              "      <td>2000.000000</td>\n",
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              "    <tr>\n",
              "      <th>mean</th>\n",
              "      <td>1238.518500</td>\n",
              "      <td>0.4950</td>\n",
              "      <td>1.522250</td>\n",
              "      <td>0.509500</td>\n",
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              "      <td>0.521500</td>\n",
              "      <td>32.046500</td>\n",
              "      <td>0.501750</td>\n",
              "      <td>140.249000</td>\n",
              "      <td>4.520500</td>\n",
              "      <td>...</td>\n",
              "      <td>645.108000</td>\n",
              "      <td>1251.515500</td>\n",
              "      <td>2124.213000</td>\n",
              "      <td>12.306500</td>\n",
              "      <td>5.767000</td>\n",
              "      <td>11.011000</td>\n",
              "      <td>0.761500</td>\n",
              "      <td>0.503000</td>\n",
              "      <td>0.507000</td>\n",
              "      <td>1.500000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>std</th>\n",
              "      <td>439.418206</td>\n",
              "      <td>0.5001</td>\n",
              "      <td>0.816004</td>\n",
              "      <td>0.500035</td>\n",
              "      <td>4.341444</td>\n",
              "      <td>0.499662</td>\n",
              "      <td>18.145715</td>\n",
              "      <td>0.288416</td>\n",
              "      <td>35.399655</td>\n",
              "      <td>2.287837</td>\n",
              "      <td>...</td>\n",
              "      <td>443.780811</td>\n",
              "      <td>432.199447</td>\n",
              "      <td>1084.732044</td>\n",
              "      <td>4.213245</td>\n",
              "      <td>4.356398</td>\n",
              "      <td>5.463955</td>\n",
              "      <td>0.426273</td>\n",
              "      <td>0.500116</td>\n",
              "      <td>0.500076</td>\n",
              "      <td>1.118314</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>min</th>\n",
              "      <td>501.000000</td>\n",
              "      <td>0.0000</td>\n",
              "      <td>0.500000</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>2.000000</td>\n",
              "      <td>0.100000</td>\n",
              "      <td>80.000000</td>\n",
              "      <td>1.000000</td>\n",
              "      <td>...</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>500.000000</td>\n",
              "      <td>256.000000</td>\n",
              "      <td>5.000000</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>2.000000</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.000000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>25%</th>\n",
              "      <td>851.750000</td>\n",
              "      <td>0.0000</td>\n",
              "      <td>0.700000</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>1.000000</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>16.000000</td>\n",
              "      <td>0.200000</td>\n",
              "      <td>109.000000</td>\n",
              "      <td>3.000000</td>\n",
              "      <td>...</td>\n",
              "      <td>282.750000</td>\n",
              "      <td>874.750000</td>\n",
              "      <td>1207.500000</td>\n",
              "      <td>9.000000</td>\n",
              "      <td>2.000000</td>\n",
              "      <td>6.000000</td>\n",
              "      <td>1.000000</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.750000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>50%</th>\n",
              "      <td>1226.000000</td>\n",
              "      <td>0.0000</td>\n",
              "      <td>1.500000</td>\n",
              "      <td>1.000000</td>\n",
              "      <td>3.000000</td>\n",
              "      <td>1.000000</td>\n",
              "      <td>32.000000</td>\n",
              "      <td>0.500000</td>\n",
              "      <td>141.000000</td>\n",
              "      <td>4.000000</td>\n",
              "      <td>...</td>\n",
              "      <td>564.000000</td>\n",
              "      <td>1247.000000</td>\n",
              "      <td>2146.500000</td>\n",
              "      <td>12.000000</td>\n",
              "      <td>5.000000</td>\n",
              "      <td>11.000000</td>\n",
              "      <td>1.000000</td>\n",
              "      <td>1.000000</td>\n",
              "      <td>1.000000</td>\n",
              "      <td>1.500000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>75%</th>\n",
              "      <td>1615.250000</td>\n",
              "      <td>1.0000</td>\n",
              "      <td>2.200000</td>\n",
              "      <td>1.000000</td>\n",
              "      <td>7.000000</td>\n",
              "      <td>1.000000</td>\n",
              "      <td>48.000000</td>\n",
              "      <td>0.800000</td>\n",
              "      <td>170.000000</td>\n",
              "      <td>7.000000</td>\n",
              "      <td>...</td>\n",
              "      <td>947.250000</td>\n",
              "      <td>1633.000000</td>\n",
              "      <td>3064.500000</td>\n",
              "      <td>16.000000</td>\n",
              "      <td>9.000000</td>\n",
              "      <td>16.000000</td>\n",
              "      <td>1.000000</td>\n",
              "      <td>1.000000</td>\n",
              "      <td>1.000000</td>\n",
              "      <td>2.250000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>max</th>\n",
              "      <td>1998.000000</td>\n",
              "      <td>1.0000</td>\n",
              "      <td>3.000000</td>\n",
              "      <td>1.000000</td>\n",
              "      <td>19.000000</td>\n",
              "      <td>1.000000</td>\n",
              "      <td>64.000000</td>\n",
              "      <td>1.000000</td>\n",
              "      <td>200.000000</td>\n",
              "      <td>8.000000</td>\n",
              "      <td>...</td>\n",
              "      <td>1960.000000</td>\n",
              "      <td>1998.000000</td>\n",
              "      <td>3998.000000</td>\n",
              "      <td>19.000000</td>\n",
              "      <td>18.000000</td>\n",
              "      <td>20.000000</td>\n",
              "      <td>1.000000</td>\n",
              "      <td>1.000000</td>\n",
              "      <td>1.000000</td>\n",
              "      <td>3.000000</td>\n",
              "    </tr>\n",
              "  </tbody>\n",
              "</table>\n",
              "<p>8 rows × 21 columns</p>\n",
              "</div>\n",
              "    <div class=\"colab-df-buttons\">\n",
              "\n",
              "  <div class=\"colab-df-container\">\n",
              "    <button class=\"colab-df-convert\" onclick=\"convertToInteractive('df-ab504f96-5bac-4aa5-beed-4b5f57d4e387')\"\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-ab504f96-5bac-4aa5-beed-4b5f57d4e387 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-ab504f96-5bac-4aa5-beed-4b5f57d4e387');\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-07300770-4522-4164-970f-f9302261d350\">\n",
              "  <button class=\"colab-df-quickchart\" onclick=\"quickchart('df-07300770-4522-4164-970f-f9302261d350')\"\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-07300770-4522-4164-970f-f9302261d350 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"
            }
          },
          "metadata": {},
          "execution_count": 10
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [],
      "metadata": {
        "id": "PixYp4UQ2O6X"
      },
      "execution_count": null,
      "outputs": []
    }
  ]
}