hw8_pandas_in_act.ipynb

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              "  Manufacturer  Year Fuel Transmission  Price\n",
              "0        Acura  2012  Gas    Automatic  10299\n",
              "1       Jaguar  2011  Gas    Automatic   9500\n",
              "2        Honda  2004  Gas    Automatic   3995\n",
              "3    Chevrolet  2016  Gas    Automatic  41988\n",
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          },
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      ],
      "source": [
        "import pandas as pd\n",
        "cars = pd.read_csv(\"used_cars.csv\")\n",
        "cars.head()"
      ]
    },
    {
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      "source": [
        "min_wage = pd.read_csv(\"minimum_wage.csv\")\n",
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            "text/plain": [
              "        State  2010  2011  2012  2013  2014  2015   2016   2017\n",
              "0     Alabama  0.00  0.00  0.00  0.00  0.00  0.00   0.00   0.00\n",
              "1      Alaska  8.90  8.63  8.45  8.33  8.20  9.24  10.17  10.01\n",
              "2     Arizona  8.33  8.18  8.34  8.38  8.36  8.50   8.40  10.22\n",
              "3    Arkansas  7.18  6.96  6.82  6.72  6.61  7.92   8.35   8.68\n",
              "4  California  9.19  8.91  8.72  8.60  9.52  9.51  10.43  10.22"
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              "      <th>2</th>\n",
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              "      <td>8.38</td>\n",
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              "      <td>10.22</td>\n",
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              "      <th>3</th>\n",
              "      <td>Arkansas</td>\n",
              "      <td>7.18</td>\n",
              "      <td>6.96</td>\n",
              "      <td>6.82</td>\n",
              "      <td>6.72</td>\n",
              "      <td>6.61</td>\n",
              "      <td>7.92</td>\n",
              "      <td>8.35</td>\n",
              "      <td>8.68</td>\n",
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              "      <th>4</th>\n",
              "      <td>California</td>\n",
              "      <td>9.19</td>\n",
              "      <td>8.91</td>\n",
              "      <td>8.72</td>\n",
              "      <td>8.60</td>\n",
              "      <td>9.52</td>\n",
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              "    [theme=dark] .colab-df-convert:hover {\n",
              "      background-color: #434B5C;\n",
              "      box-shadow: 0px 1px 3px 1px rgba(0, 0, 0, 0.15);\n",
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              "\n",
              "      <script>\n",
              "        const buttonEl =\n",
              "          document.querySelector('#df-359a6fe8-93f0-4771-bd0f-5993f2b33bca 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-359a6fe8-93f0-4771-bd0f-5993f2b33bca');\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",
              "  </div>\n"
            ]
          },
          "metadata": {},
          "execution_count": 2
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "# Агрегируйте сумму цен машин в cars Сгруппируйте результаты по типу топлива по оси строк\n",
        "cars.pivot_table(\n",
        "    index = \"Fuel\", values = \"Price\", aggfunc = \"sum\"\n",
        ")"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 238
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        "id": "yQAvOPYlfpI5",
        "outputId": "dfbc3aa2-dc5e-413d-b450-60a5bff37ee2"
      },
      "execution_count": 3,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "               Price\n",
              "Fuel                \n",
              "Diesel     158810541\n",
              "Electric     1787319\n",
              "Gas       7095505647\n",
              "Hybrid       6242945\n",
              "Other       35431754"
            ],
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              "\n",
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              "                                                     [key], {});\n",
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              "\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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            ]
          },
          "metadata": {},
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      ]
    },
    {
      "cell_type": "code",
      "source": [
        "# Агрегируйте количество машин в cars\n",
        "# Сгруппируйте результаты по произ- водителю на оси строк и типу коробки передач на оси столбцов\n",
        "cars.pivot_table(\n",
        "    index = \"Manufacturer\",\n",
        "    columns = \"Transmission\",\n",
        "    aggfunc = \"count\",\n",
        "    margins = True,\n",
        "    values = 'Price'\n",
        ").head()"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 238
        },
        "id": "djMxqPoGgeW5",
        "outputId": "927914d1-6ac5-48c3-dd1d-9cd1c5dab41e"
      },
      "execution_count": 16,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "Transmission  Automatic  Manual  Other   All\n",
              "Manufacturer                                \n",
              "Acura             449.0    16.0    7.0   472\n",
              "Alfa-Romeo          7.0     NaN    NaN     7\n",
              "Aston-Martin        2.0     NaN    NaN     2\n",
              "Audi              700.0    42.0   12.0   754\n",
              "BMW              1585.0   101.0  130.0  1816"
            ],
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              "\n",
              "        async function convertToInteractive(key) {\n",
              "          const element = document.querySelector('#df-27a50e71-764e-4706-a412-fe8ed1a88811');\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",
              "  </div>\n"
            ]
          },
          "metadata": {},
          "execution_count": 16
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "# Агрегируйте среднюю цену машин в cars Сгруппируйте результаты по году\n",
        "# и типу топлива на оси строк и типу коробки передач на оси столбцов\n",
        "cars.pivot_table(\n",
        "    index = [\"Year\",'Fuel'],\n",
        "    columns = \"Transmission\",\n",
        "    values = 'Price',\n",
        "    aggfunc = \"mean\",\n",
        "    fill_value = 0\n",
        ")\n"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 455
        },
        "id": "Yx9DgqDKhCwu",
        "outputId": "f9dc9fc4-4885-451d-90a7-caf7749db247"
      },
      "execution_count": 17,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "Transmission      Automatic        Manual         Other\n",
              "Year Fuel                                              \n",
              "2000 Diesel    11607.820312  12378.047619      0.000000\n",
              "     Gas        4404.089764   5078.509091   1500.000000\n",
              "     Other      7739.000000  15472.500000    983.333333\n",
              "2001 Diesel    10860.163265  14279.809524  23975.000000\n",
              "     Gas        4463.913102   4574.740741   3669.500000\n",
              "...                     ...           ...           ...\n",
              "2020 Diesel    66876.888889      0.000000      0.000000\n",
              "     Electric      0.000000   2200.000000      0.000000\n",
              "     Gas       34990.387454  21248.600000  21841.818182\n",
              "     Hybrid    29240.500000      0.000000      0.000000\n",
              "     Other     23556.000000      0.000000   6165.533333\n",
              "\n",
              "[95 rows x 3 columns]"
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              "      <th rowspan=\"3\" valign=\"top\">2000</th>\n",
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              "      <td>11607.820312</td>\n",
              "      <td>12378.047619</td>\n",
              "      <td>0.000000</td>\n",
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              "      <th>Gas</th>\n",
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              "      <th rowspan=\"2\" valign=\"top\">2001</th>\n",
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              "      <td>14279.809524</td>\n",
              "      <td>23975.000000</td>\n",
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              "      <th>Gas</th>\n",
              "      <td>4463.913102</td>\n",
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              "    <tr>\n",
              "      <th rowspan=\"5\" valign=\"top\">2020</th>\n",
              "      <th>Diesel</th>\n",
              "      <td>66876.888889</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.000000</td>\n",
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              "      <td>0.000000</td>\n",
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              "      <td>0.000000</td>\n",
              "      <td>6165.533333</td>\n",
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              "\n",
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              "  quickchartButtonEl.style.display =\n",
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              "}\n",
              "\n",
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              "      display:flex;\n",
              "      flex-wrap:wrap;\n",
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              "\n",
              "    .colab-df-convert {\n",
              "      background-color: #E8F0FE;\n",
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              "                                                     [key], {});\n",
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              "\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"
            ]
          },
          "metadata": {},
          "execution_count": 17
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "# В объекте DataFrame из предыдущей задачи перенесите уровень Transmission с оси столбцов на ось строк\n",
        "cars_list = cars.pivot_table(\n",
        "    index = [\"Year\",'Fuel'],\n",
        "    columns = \"Transmission\",\n",
        "    values = 'Price',\n",
        "    aggfunc = \"mean\",\n",
        "    fill_value = 0\n",
        ")\n",
        "cars_list.head()"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 238
        },
        "id": "soMh9q47hmau",
        "outputId": "cca44adc-1cc2-4671-f958-cda0e8449a84"
      },
      "execution_count": 18,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "Transmission     Automatic        Manual         Other\n",
              "Year Fuel                                             \n",
              "2000 Diesel   11607.820312  12378.047619      0.000000\n",
              "     Gas       4404.089764   5078.509091   1500.000000\n",
              "     Other     7739.000000  15472.500000    983.333333\n",
              "2001 Diesel   10860.163265  14279.809524  23975.000000\n",
              "     Gas       4463.913102   4574.740741   3669.500000"
            ],
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              "      <th rowspan=\"2\" valign=\"top\">2001</th>\n",
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              "        const containerElement = document.querySelector('#' + key);\n",
              "        const charts = await google.colab.kernel.invokeFunction(\n",
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              "    </script>\n",
              "\n",
              "      <script>\n",
              "\n",
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              "  let quickchartButtonEl =\n",
              "    domScope.querySelector('#df-c0c2eab0-34a4-4535-a97e-9ea7abe18a5b button.colab-df-quickchart');\n",
              "  quickchartButtonEl.style.display =\n",
              "    google.colab.kernel.accessAllowed ? 'block' : 'none';\n",
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              "\n",
              "        displayQuickchartButton(document);\n",
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              "      border: none;\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-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",
              "    [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",
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              "    }\n",
              "  </style>\n",
              "\n",
              "      <script>\n",
              "        const buttonEl =\n",
              "          document.querySelector('#df-369c5fe7-79ee-4fe1-9f00-5e65300d4f34 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-369c5fe7-79ee-4fe1-9f00-5e65300d4f34');\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",
              "  </div>\n"
            ]
          },
          "metadata": {},
          "execution_count": 18
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "cars_list.stack()"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "etU1Dp_0jbf9",
        "outputId": "68399e8f-28a7-4536-f739-2399fa401598"
      },
      "execution_count": 19,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "Year  Fuel    Transmission\n",
              "2000  Diesel  Automatic       11607.820312\n",
              "              Manual          12378.047619\n",
              "              Other               0.000000\n",
              "      Gas     Automatic        4404.089764\n",
              "              Manual           5078.509091\n",
              "                                  ...     \n",
              "2020  Hybrid  Manual              0.000000\n",
              "              Other               0.000000\n",
              "      Other   Automatic       23556.000000\n",
              "              Manual              0.000000\n",
              "              Other            6165.533333\n",
              "Length: 285, dtype: float64"
            ]
          },
          "metadata": {},
          "execution_count": 19
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "year_columns = [\n",
        "                \"2010\", \"2011\", \"2012\", \"2013\",\n",
        "                \"2014\", \"2015\", \"2016\", \"2017\"\n",
        "            ]\n",
        "min_wage.melt(id_vars = \"State\", value_vars = year_columns)"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 424
        },
        "id": "RrmwMHu2jiPE",
        "outputId": "da239cc3-d66d-4f4d-bf90-f62fdfac5fef"
      },
      "execution_count": 20,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "             State variable  value\n",
              "0          Alabama     2010   0.00\n",
              "1           Alaska     2010   8.90\n",
              "2          Arizona     2010   8.33\n",
              "3         Arkansas     2010   7.18\n",
              "4       California     2010   9.19\n",
              "..             ...      ...    ...\n",
              "435       Virginia     2017   7.41\n",
              "436     Washington     2017  11.24\n",
              "437  West Virginia     2017   8.94\n",
              "438      Wisconsin     2017   7.41\n",
              "439        Wyoming     2017   5.26\n",
              "\n",
              "[440 rows x 3 columns]"
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              "      <td>8.94</td>\n",
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              "    <tr>\n",
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              "      <td>7.41</td>\n",
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              "      <th>439</th>\n",
              "      <td>Wyoming</td>\n",
              "      <td>2017</td>\n",
              "      <td>5.26</td>\n",
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              "  </tbody>\n",
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              "<p>440 rows × 3 columns</p>\n",
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              "      fill: #174EA6;\n",
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              "\n",
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              "      background-color: #434B5C;\n",
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              "        const buttonEl =\n",
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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",
              "            + ' to learn more about interactive tables.';\n",
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          },
          "metadata": {},
          "execution_count": 20
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "min_wage.melt(\n",
        "             id_vars = \"State\", var_name = \"Year\", value_name = \"Wage\"\n",
        ")"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 424
        },
        "id": "CTnScqZ3j594",
        "outputId": "17ae4eeb-b7ad-4548-daac-8707fb2a0b8d"
      },
      "execution_count": 21,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "             State  Year   Wage\n",
              "0          Alabama  2010   0.00\n",
              "1           Alaska  2010   8.90\n",
              "2          Arizona  2010   8.33\n",
              "3         Arkansas  2010   7.18\n",
              "4       California  2010   9.19\n",
              "..             ...   ...    ...\n",
              "435       Virginia  2017   7.41\n",
              "436     Washington  2017  11.24\n",
              "437  West Virginia  2017   8.94\n",
              "438      Wisconsin  2017   7.41\n",
              "439        Wyoming  2017   5.26\n",
              "\n",
              "[440 rows x 3 columns]"
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              "      <td>8.33</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>3</th>\n",
              "      <td>Arkansas</td>\n",
              "      <td>2010</td>\n",
              "      <td>7.18</td>\n",
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              "    <tr>\n",
              "      <th>4</th>\n",
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              "    <tr>\n",
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              "      <td>7.41</td>\n",
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              "    <tr>\n",
              "      <th>439</th>\n",
              "      <td>Wyoming</td>\n",
              "      <td>2017</td>\n",
              "      <td>5.26</td>\n",
              "    </tr>\n",
              "  </tbody>\n",
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              "<p>440 rows × 3 columns</p>\n",
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              "      <button class=\"colab-df-convert\" onclick=\"convertToInteractive('df-8a9b16b4-178b-4aba-a6c4-b68c0f9eea47')\"\n",
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              "       width=\"24px\">\n",
              "    <path d=\"M0 0h24v24H0V0z\" fill=\"none\"/>\n",
              "    <path d=\"M18.56 5.44l.94 2.06.94-2.06 2.06-.94-2.06-.94-.94-2.06-.94 2.06-2.06.94zm-11 1L8.5 8.5l.94-2.06 2.06-.94-2.06-.94L8.5 2.5l-.94 2.06-2.06.94zm10 10l.94 2.06.94-2.06 2.06-.94-2.06-.94-.94-2.06-.94 2.06-2.06.94z\"/><path d=\"M17.41 7.96l-1.37-1.37c-.4-.4-.92-.59-1.43-.59-.52 0-1.04.2-1.43.59L10.3 9.45l-7.72 7.72c-.78.78-.78 2.05 0 2.83L4 21.41c.39.39.9.59 1.41.59.51 0 1.02-.2 1.41-.59l7.78-7.78 2.81-2.81c.8-.78.8-2.07 0-2.86zM5.41 20L4 18.59l7.72-7.72 1.47 1.35L5.41 20z\"/>\n",
              "  </svg>\n",
              "      </button>\n",
              "\n",
              "\n",
              "\n",
              "    <div id=\"df-52bf9e36-7272-4ed1-8cc0-b0e4ebc9dbaf\">\n",
              "      <button class=\"colab-df-quickchart\" onclick=\"quickchart('df-52bf9e36-7272-4ed1-8cc0-b0e4ebc9dbaf')\"\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",
              "    </div>\n",
              "\n",
              "<style>\n",
              "  .colab-df-quickchart {\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-quickchart: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-quickchart {\n",
              "    background-color: #3B4455;\n",
              "    fill: #D2E3FC;\n",
              "  }\n",
              "\n",
              "  [theme=dark] .colab-df-quickchart: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",
              "      async function quickchart(key) {\n",
              "        const containerElement = document.querySelector('#' + key);\n",
              "        const charts = await google.colab.kernel.invokeFunction(\n",
              "            'suggestCharts', [key], {});\n",
              "      }\n",
              "    </script>\n",
              "\n",
              "      <script>\n",
              "\n",
              "function displayQuickchartButton(domScope) {\n",
              "  let quickchartButtonEl =\n",
              "    domScope.querySelector('#df-52bf9e36-7272-4ed1-8cc0-b0e4ebc9dbaf button.colab-df-quickchart');\n",
              "  quickchartButtonEl.style.display =\n",
              "    google.colab.kernel.accessAllowed ? 'block' : 'none';\n",
              "}\n",
              "\n",
              "        displayQuickchartButton(document);\n",
              "      </script>\n",
              "      <style>\n",
              "    .colab-df-container {\n",
              "      display:flex;\n",
              "      flex-wrap:wrap;\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",
              "    [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-8a9b16b4-178b-4aba-a6c4-b68c0f9eea47 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-8a9b16b4-178b-4aba-a6c4-b68c0f9eea47');\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",
              "  </div>\n"
            ]
          },
          "metadata": {},
          "execution_count": 21
        }
      ]
    }
  ]
}