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      "source": [
        "# MIDTERM - TEAM 7 - CALIFORNIA HOUSING\n",
        "\n",
        "### Giovanna Calabrese Villanueva\n",
        "### Luis Alberto Dominguez Barroeta"
      ],
      "metadata": {
        "id": "v-xiOFqf-lgk"
      }
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    {
      "cell_type": "code",
      "execution_count": null,
      "metadata": {
        "id": "_kfsXPQR-kpD"
      },
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      "source": [
        "# Import libraries\n",
        "import seaborn as sns\n",
        "import pandas as pd\n",
        "import matplotlib.pyplot as plt\n",
        "import sklearn as skl\n",
        "from sklearn.datasets import fetch_california_housing\n",
        "\n",
        "california_housing = fetch_california_housing()\n"
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "# Create dataframe\n",
        "df = pd.DataFrame(\n",
        "    california_housing.data,\n",
        "    columns=california_housing.feature_names\n",
        ")"
      ],
      "metadata": {
        "id": "kkdbkjA9BB_T"
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      "execution_count": null,
      "outputs": []
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      "source": [
        "# the first 10 rows\n",
        "df.head(10)"
      ],
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            "text/plain": [
              "   MedInc  HouseAge  AveRooms  AveBedrms  Population  AveOccup  Latitude  \\\n",
              "0  8.3252      41.0  6.984127   1.023810       322.0  2.555556     37.88   \n",
              "1  8.3014      21.0  6.238137   0.971880      2401.0  2.109842     37.86   \n",
              "2  7.2574      52.0  8.288136   1.073446       496.0  2.802260     37.85   \n",
              "3  5.6431      52.0  5.817352   1.073059       558.0  2.547945     37.85   \n",
              "4  3.8462      52.0  6.281853   1.081081       565.0  2.181467     37.85   \n",
              "5  4.0368      52.0  4.761658   1.103627       413.0  2.139896     37.85   \n",
              "6  3.6591      52.0  4.931907   0.951362      1094.0  2.128405     37.84   \n",
              "7  3.1200      52.0  4.797527   1.061824      1157.0  1.788253     37.84   \n",
              "8  2.0804      42.0  4.294118   1.117647      1206.0  2.026891     37.84   \n",
              "9  3.6912      52.0  4.970588   0.990196      1551.0  2.172269     37.84   \n",
              "\n",
              "   Longitude  \n",
              "0    -122.23  \n",
              "1    -122.22  \n",
              "2    -122.24  \n",
              "3    -122.25  \n",
              "4    -122.25  \n",
              "5    -122.25  \n",
              "6    -122.25  \n",
              "7    -122.25  \n",
              "8    -122.26  \n",
              "9    -122.25  "
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              "      <th></th>\n",
              "      <th>MedInc</th>\n",
              "      <th>HouseAge</th>\n",
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              "      <td>-122.25</td>\n",
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              "      <th>4</th>\n",
              "      <td>3.8462</td>\n",
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              "      <td>4.931907</td>\n",
              "      <td>0.951362</td>\n",
              "      <td>1094.0</td>\n",
              "      <td>2.128405</td>\n",
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              "      <td>0.990196</td>\n",
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              "summary": "{\n  \"name\": \"df\",\n  \"rows\": 20640,\n  \"fields\": [\n    {\n      \"column\": \"MedInc\",\n      \"properties\": {\n        \"dtype\": \"number\",\n        \"std\": 1.8998217179452732,\n        \"min\": 0.4999,\n        \"max\": 15.0001,\n        \"num_unique_values\": 12928,\n        \"samples\": [\n          5.0286,\n          2.0433,\n          6.1228\n        ],\n        \"semantic_type\": \"\",\n        \"description\": \"\"\n      }\n    },\n    {\n      \"column\": \"HouseAge\",\n      \"properties\": {\n        \"dtype\": \"number\",\n        \"std\": 12.585557612111637,\n        \"min\": 1.0,\n        \"max\": 52.0,\n        \"num_unique_values\": 52,\n        \"samples\": [\n          35.0,\n          25.0,\n          7.0\n        ],\n        \"semantic_type\": \"\",\n        \"description\": \"\"\n      }\n    },\n    {\n      \"column\": \"AveRooms\",\n      \"properties\": {\n        \"dtype\": \"number\",\n        \"std\": 2.4741731394243205,\n        \"min\": 0.8461538461538461,\n        \"max\": 141.9090909090909,\n        \"num_unique_values\": 19392,\n        \"samples\": [\n          6.111269614835948,\n          5.912820512820513,\n          5.7924528301886795\n        ],\n        \"semantic_type\": \"\",\n        \"description\": \"\"\n      }\n    },\n    {\n      \"column\": \"AveBedrms\",\n      \"properties\": {\n        \"dtype\": \"number\",\n        \"std\": 0.47391085679546435,\n        \"min\": 0.3333333333333333,\n        \"max\": 34.06666666666667,\n        \"num_unique_values\": 14233,\n        \"samples\": [\n          0.9906542056074766,\n          1.112099644128114,\n          1.0398230088495575\n        ],\n        \"semantic_type\": \"\",\n        \"description\": \"\"\n      }\n    },\n    {\n      \"column\": \"Population\",\n      \"properties\": {\n        \"dtype\": \"number\",\n        \"std\": 1132.4621217653375,\n        \"min\": 3.0,\n        \"max\": 35682.0,\n        \"num_unique_values\": 3888,\n        \"samples\": [\n          4169.0,\n          636.0,\n          3367.0\n        ],\n        \"semantic_type\": \"\",\n        \"description\": \"\"\n      }\n    },\n    {\n      \"column\": \"AveOccup\",\n      \"properties\": {\n        \"dtype\": \"number\",\n        \"std\": 10.386049562213591,\n        \"min\": 0.6923076923076923,\n        \"max\": 1243.3333333333333,\n        \"num_unique_values\": 18841,\n        \"samples\": [\n          2.6939799331103678,\n          3.559375,\n          3.297082228116711\n        ],\n        \"semantic_type\": \"\",\n        \"description\": \"\"\n      }\n    },\n    {\n      \"column\": \"Latitude\",\n      \"properties\": {\n        \"dtype\": \"number\",\n        \"std\": 2.1359523974571117,\n        \"min\": 32.54,\n        \"max\": 41.95,\n        \"num_unique_values\": 862,\n        \"samples\": [\n          33.7,\n          34.41,\n          38.24\n        ],\n        \"semantic_type\": \"\",\n        \"description\": \"\"\n      }\n    },\n    {\n      \"column\": \"Longitude\",\n      \"properties\": {\n        \"dtype\": \"number\",\n        \"std\": 2.003531723502581,\n        \"min\": -124.35,\n        \"max\": -114.31,\n        \"num_unique_values\": 844,\n        \"samples\": [\n          -118.63,\n          -119.86,\n          -121.26\n        ],\n        \"semantic_type\": \"\",\n        \"description\": \"\"\n      }\n    }\n  ]\n}"
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          "metadata": {},
          "execution_count": 167
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      "source": [
        "# Add the target variable as a column and name it as MedHouseVal\n",
        "df[\"MedHouseVal\"] = california_housing.target\n",
        "df.head()\n",
        "# Median House Value is in $100,000"
      ],
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              "   MedInc  HouseAge  AveRooms  AveBedrms  Population  AveOccup  Latitude  \\\n",
              "0  8.3252      41.0  6.984127   1.023810       322.0  2.555556     37.88   \n",
              "1  8.3014      21.0  6.238137   0.971880      2401.0  2.109842     37.86   \n",
              "2  7.2574      52.0  8.288136   1.073446       496.0  2.802260     37.85   \n",
              "3  5.6431      52.0  5.817352   1.073059       558.0  2.547945     37.85   \n",
              "4  3.8462      52.0  6.281853   1.081081       565.0  2.181467     37.85   \n",
              "\n",
              "   Longitude  MedHouseVal  \n",
              "0    -122.23        4.526  \n",
              "1    -122.22        3.585  \n",
              "2    -122.24        3.521  \n",
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              "  <div class=\"colab-df-container\">\n",
              "    <button class=\"colab-df-convert\" onclick=\"convertToInteractive('df-4253c3e5-cf92-4144-a235-151d72c338f8')\"\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-4253c3e5-cf92-4144-a235-151d72c338f8 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-4253c3e5-cf92-4144-a235-151d72c338f8');\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>\n",
              "  </div>\n"
            ],
            "application/vnd.google.colaboratory.intrinsic+json": {
              "type": "dataframe",
              "summary": "{\n  \"name\": \"# Median House Value is in $100,000\",\n  \"rows\": 5,\n  \"fields\": [\n    {\n      \"column\": \"MedInc\",\n      \"properties\": {\n        \"dtype\": \"number\",\n        \"std\": 1.9218775476080674,\n        \"min\": 3.8462,\n        \"max\": 8.3252,\n        \"num_unique_values\": 5,\n        \"samples\": [\n          8.3014,\n          3.8462,\n          7.2574\n        ],\n        \"semantic_type\": \"\",\n        \"description\": \"\"\n      }\n    },\n    {\n      \"column\": \"HouseAge\",\n      \"properties\": {\n        \"dtype\": \"number\",\n        \"std\": 13.501851724856113,\n        \"min\": 21.0,\n        \"max\": 52.0,\n        \"num_unique_values\": 3,\n        \"samples\": [\n          41.0,\n          21.0,\n          52.0\n        ],\n        \"semantic_type\": \"\",\n        \"description\": \"\"\n      }\n    },\n    {\n      \"column\": \"AveRooms\",\n      \"properties\": {\n        \"dtype\": \"number\",\n        \"std\": 0.9705323807243326,\n        \"min\": 5.8173515981735155,\n        \"max\": 8.288135593220339,\n        \"num_unique_values\": 5,\n        \"samples\": [\n          6.238137082601054,\n          6.281853281853282,\n          8.288135593220339\n        ],\n        \"semantic_type\": \"\",\n        \"description\": \"\"\n      }\n    },\n    {\n      \"column\": \"AveBedrms\",\n      \"properties\": {\n        \"dtype\": \"number\",\n        \"std\": 0.04661885487529508,\n        \"min\": 0.9718804920913884,\n        \"max\": 1.0810810810810811,\n        \"num_unique_values\": 5,\n        \"samples\": [\n          0.9718804920913884,\n          1.0810810810810811,\n          1.073446327683616\n        ],\n        \"semantic_type\": \"\",\n        \"description\": \"\"\n      }\n    },\n    {\n      \"column\": \"Population\",\n      \"properties\": {\n        \"dtype\": \"number\",\n        \"std\": 862.3365352343596,\n        \"min\": 322.0,\n        \"max\": 2401.0,\n        \"num_unique_values\": 5,\n        \"samples\": [\n          2401.0,\n          565.0,\n          496.0\n        ],\n        \"semantic_type\": \"\",\n        \"description\": \"\"\n      }\n    },\n    {\n      \"column\": \"AveOccup\",\n      \"properties\": {\n        \"dtype\": \"number\",\n        \"std\": 0.2881316535489867,\n        \"min\": 2.109841827768014,\n        \"max\": 2.8022598870056497,\n        \"num_unique_values\": 5,\n        \"samples\": [\n          2.109841827768014,\n          2.1814671814671813,\n          2.8022598870056497\n        ],\n        \"semantic_type\": \"\",\n        \"description\": \"\"\n      }\n    },\n    {\n      \"column\": \"Latitude\",\n      \"properties\": {\n        \"dtype\": \"number\",\n        \"std\": 0.0130384048104057,\n        \"min\": 37.85,\n        \"max\": 37.88,\n        \"num_unique_values\": 3,\n        \"samples\": [\n          37.88,\n          37.86,\n          37.85\n        ],\n        \"semantic_type\": \"\",\n        \"description\": \"\"\n      }\n    },\n    {\n      \"column\": \"Longitude\",\n      \"properties\": {\n        \"dtype\": \"number\",\n        \"std\": 0.013038404810404884,\n        \"min\": -122.25,\n        \"max\": -122.22,\n        \"num_unique_values\": 4,\n        \"samples\": [\n          -122.22,\n          -122.25,\n          -122.23\n        ],\n        \"semantic_type\": \"\",\n        \"description\": \"\"\n      }\n    },\n    {\n      \"column\": \"MedHouseVal\",\n      \"properties\": {\n        \"dtype\": \"number\",\n        \"std\": 0.4708973348830931,\n        \"min\": 3.413,\n        \"max\": 4.526,\n        \"num_unique_values\": 5,\n        \"samples\": [\n          3.585,\n          3.422,\n          3.521\n        ],\n        \"semantic_type\": \"\",\n        \"description\": \"\"\n      }\n    }\n  ]\n}"
            }
          },
          "metadata": {},
          "execution_count": 168
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "df.shape\n",
        "# The dataset contains 20,640 rows and 9 columns, where MedHouseVal is the target variable"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "c3YWKjcxB1Sd",
        "outputId": "1f88c76f-eb1c-418e-a10f-915797b70a40"
      },
      "execution_count": null,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "(20640, 9)"
            ]
          },
          "metadata": {},
          "execution_count": 169
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "df.columns\n",
        "# all the columns from the dataset"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "d-4w-g_CGNJD",
        "outputId": "5d32c480-c75d-42c5-a5ad-57632f55ef90"
      },
      "execution_count": null,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "Index(['MedInc', 'HouseAge', 'AveRooms', 'AveBedrms', 'Population', 'AveOccup',\n",
              "       'Latitude', 'Longitude', 'MedHouseVal'],\n",
              "      dtype='object')"
            ]
          },
          "metadata": {},
          "execution_count": 170
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "df.info()"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "LQcOJ7flB6WY",
        "outputId": "de77ac46-a8ac-42d5-8e7b-7f086b684e34"
      },
      "execution_count": null,
      "outputs": [
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "<class 'pandas.core.frame.DataFrame'>\n",
            "RangeIndex: 20640 entries, 0 to 20639\n",
            "Data columns (total 9 columns):\n",
            " #   Column       Non-Null Count  Dtype  \n",
            "---  ------       --------------  -----  \n",
            " 0   MedInc       20640 non-null  float64\n",
            " 1   HouseAge     20640 non-null  float64\n",
            " 2   AveRooms     20640 non-null  float64\n",
            " 3   AveBedrms    20640 non-null  float64\n",
            " 4   Population   20640 non-null  float64\n",
            " 5   AveOccup     20640 non-null  float64\n",
            " 6   Latitude     20640 non-null  float64\n",
            " 7   Longitude    20640 non-null  float64\n",
            " 8   MedHouseVal  20640 non-null  float64\n",
            "dtypes: float64(9)\n",
            "memory usage: 1.4 MB\n"
          ]
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "# check missing values\n",
        "df.isnull().sum()"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 362
        },
        "id": "0ZFigEWvCfpm",
        "outputId": "4117e9a2-3942-4e1e-e2ba-7cd69bc66538"
      },
      "execution_count": null,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "MedInc         0\n",
              "HouseAge       0\n",
              "AveRooms       0\n",
              "AveBedrms      0\n",
              "Population     0\n",
              "AveOccup       0\n",
              "Latitude       0\n",
              "Longitude      0\n",
              "MedHouseVal    0\n",
              "dtype: int64"
            ],
            "text/html": [
              "<div>\n",
              "<style scoped>\n",
              "    .dataframe tbody tr th:only-of-type {\n",
              "        vertical-align: middle;\n",
              "    }\n",
              "\n",
              "    .dataframe tbody tr th {\n",
              "        vertical-align: top;\n",
              "    }\n",
              "\n",
              "    .dataframe thead th {\n",
              "        text-align: right;\n",
              "    }\n",
              "</style>\n",
              "<table border=\"1\" class=\"dataframe\">\n",
              "  <thead>\n",
              "    <tr style=\"text-align: right;\">\n",
              "      <th></th>\n",
              "      <th>0</th>\n",
              "    </tr>\n",
              "  </thead>\n",
              "  <tbody>\n",
              "    <tr>\n",
              "      <th>MedInc</th>\n",
              "      <td>0</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>HouseAge</th>\n",
              "      <td>0</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>AveRooms</th>\n",
              "      <td>0</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>AveBedrms</th>\n",
              "      <td>0</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>Population</th>\n",
              "      <td>0</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>AveOccup</th>\n",
              "      <td>0</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>Latitude</th>\n",
              "      <td>0</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>Longitude</th>\n",
              "      <td>0</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>MedHouseVal</th>\n",
              "      <td>0</td>\n",
              "    </tr>\n",
              "  </tbody>\n",
              "</table>\n",
              "</div><br><label><b>dtype:</b> int64</label>"
            ]
          },
          "metadata": {},
          "execution_count": 172
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "# check duplicates\n",
        "df.duplicated().sum()"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "jX0VEVdGEzRy",
        "outputId": "bfca3f86-0eec-49df-8b7d-345465daa2fc"
      },
      "execution_count": null,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "np.int64(0)"
            ]
          },
          "metadata": {},
          "execution_count": 173
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "# show stats\n",
        "df.describe()"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 297
        },
        "id": "Z4S1OiNVE6Q4",
        "outputId": "48cdabb0-31f4-4046-c524-d21b91a805ee"
      },
      "execution_count": null,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "             MedInc      HouseAge      AveRooms     AveBedrms    Population  \\\n",
              "count  20640.000000  20640.000000  20640.000000  20640.000000  20640.000000   \n",
              "mean       3.870671     28.639486      5.429000      1.096675   1425.476744   \n",
              "std        1.899822     12.585558      2.474173      0.473911   1132.462122   \n",
              "min        0.499900      1.000000      0.846154      0.333333      3.000000   \n",
              "25%        2.563400     18.000000      4.440716      1.006079    787.000000   \n",
              "50%        3.534800     29.000000      5.229129      1.048780   1166.000000   \n",
              "75%        4.743250     37.000000      6.052381      1.099526   1725.000000   \n",
              "max       15.000100     52.000000    141.909091     34.066667  35682.000000   \n",
              "\n",
              "           AveOccup      Latitude     Longitude   MedHouseVal  \n",
              "count  20640.000000  20640.000000  20640.000000  20640.000000  \n",
              "mean       3.070655     35.631861   -119.569704      2.068558  \n",
              "std       10.386050      2.135952      2.003532      1.153956  \n",
              "min        0.692308     32.540000   -124.350000      0.149990  \n",
              "25%        2.429741     33.930000   -121.800000      1.196000  \n",
              "50%        2.818116     34.260000   -118.490000      1.797000  \n",
              "75%        3.282261     37.710000   -118.010000      2.647250  \n",
              "max     1243.333333     41.950000   -114.310000      5.000010  "
            ],
            "text/html": [
              "\n",
              "  <div id=\"df-21493f97-1161-46fb-9095-cfab22e1c26e\" class=\"colab-df-container\">\n",
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              "    }\n",
              "\n",
              "    .dataframe thead th {\n",
              "        text-align: right;\n",
              "    }\n",
              "</style>\n",
              "<table border=\"1\" class=\"dataframe\">\n",
              "  <thead>\n",
              "    <tr style=\"text-align: right;\">\n",
              "      <th></th>\n",
              "      <th>MedInc</th>\n",
              "      <th>HouseAge</th>\n",
              "      <th>AveRooms</th>\n",
              "      <th>AveBedrms</th>\n",
              "      <th>Population</th>\n",
              "      <th>AveOccup</th>\n",
              "      <th>Latitude</th>\n",
              "      <th>Longitude</th>\n",
              "      <th>MedHouseVal</th>\n",
              "    </tr>\n",
              "  </thead>\n",
              "  <tbody>\n",
              "    <tr>\n",
              "      <th>count</th>\n",
              "      <td>20640.000000</td>\n",
              "      <td>20640.000000</td>\n",
              "      <td>20640.000000</td>\n",
              "      <td>20640.000000</td>\n",
              "      <td>20640.000000</td>\n",
              "      <td>20640.000000</td>\n",
              "      <td>20640.000000</td>\n",
              "      <td>20640.000000</td>\n",
              "      <td>20640.000000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>mean</th>\n",
              "      <td>3.870671</td>\n",
              "      <td>28.639486</td>\n",
              "      <td>5.429000</td>\n",
              "      <td>1.096675</td>\n",
              "      <td>1425.476744</td>\n",
              "      <td>3.070655</td>\n",
              "      <td>35.631861</td>\n",
              "      <td>-119.569704</td>\n",
              "      <td>2.068558</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>std</th>\n",
              "      <td>1.899822</td>\n",
              "      <td>12.585558</td>\n",
              "      <td>2.474173</td>\n",
              "      <td>0.473911</td>\n",
              "      <td>1132.462122</td>\n",
              "      <td>10.386050</td>\n",
              "      <td>2.135952</td>\n",
              "      <td>2.003532</td>\n",
              "      <td>1.153956</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>min</th>\n",
              "      <td>0.499900</td>\n",
              "      <td>1.000000</td>\n",
              "      <td>0.846154</td>\n",
              "      <td>0.333333</td>\n",
              "      <td>3.000000</td>\n",
              "      <td>0.692308</td>\n",
              "      <td>32.540000</td>\n",
              "      <td>-124.350000</td>\n",
              "      <td>0.149990</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>25%</th>\n",
              "      <td>2.563400</td>\n",
              "      <td>18.000000</td>\n",
              "      <td>4.440716</td>\n",
              "      <td>1.006079</td>\n",
              "      <td>787.000000</td>\n",
              "      <td>2.429741</td>\n",
              "      <td>33.930000</td>\n",
              "      <td>-121.800000</td>\n",
              "      <td>1.196000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>50%</th>\n",
              "      <td>3.534800</td>\n",
              "      <td>29.000000</td>\n",
              "      <td>5.229129</td>\n",
              "      <td>1.048780</td>\n",
              "      <td>1166.000000</td>\n",
              "      <td>2.818116</td>\n",
              "      <td>34.260000</td>\n",
              "      <td>-118.490000</td>\n",
              "      <td>1.797000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>75%</th>\n",
              "      <td>4.743250</td>\n",
              "      <td>37.000000</td>\n",
              "      <td>6.052381</td>\n",
              "      <td>1.099526</td>\n",
              "      <td>1725.000000</td>\n",
              "      <td>3.282261</td>\n",
              "      <td>37.710000</td>\n",
              "      <td>-118.010000</td>\n",
              "      <td>2.647250</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>max</th>\n",
              "      <td>15.000100</td>\n",
              "      <td>52.000000</td>\n",
              "      <td>141.909091</td>\n",
              "      <td>34.066667</td>\n",
              "      <td>35682.000000</td>\n",
              "      <td>1243.333333</td>\n",
              "      <td>41.950000</td>\n",
              "      <td>-114.310000</td>\n",
              "      <td>5.000010</td>\n",
              "    </tr>\n",
              "  </tbody>\n",
              "</table>\n",
              "</div>\n",
              "    <div class=\"colab-df-buttons\">\n",
              "\n",
              "  <div class=\"colab-df-container\">\n",
              "    <button class=\"colab-df-convert\" onclick=\"convertToInteractive('df-21493f97-1161-46fb-9095-cfab22e1c26e')\"\n",
              "            title=\"Convert this dataframe to an interactive table.\"\n",
              "            style=\"display:none;\">\n",
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            }
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          "metadata": {},
          "execution_count": 174
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      "source": [
        "# Dataset Overview:\n",
        "- Number of Records: 20,640\n",
        "- Predictors: 8\n",
        "- Target: MedHouseVal\n",
        "- Numerical variables: 9, including the target\n",
        "- Categorical variables: None"
      ],
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        "# Data Preparation\n",
        "- no missing values\n",
        "- no duplicates\n",
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              "        const element = document.querySelector('#df-3a58096d-758a-4b5d-87e4-8e71ba5db30f');\n",
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          "metadata": {},
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    {
      "cell_type": "code",
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        "df[[\"MedInc\",\"AveRooms\", \"MedHouseVal\"]]"
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              "       MedInc  AveRooms  MedHouseVal\n",
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          "metadata": {},
          "execution_count": 178
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    {
      "cell_type": "code",
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        "df[[\"Latitude\",\"Longitude\", \"MedHouseVal\"]]"
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      "execution_count": null,
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        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "       Latitude  Longitude  MedHouseVal\n",
              "0         37.88    -122.23        4.526\n",
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          "execution_count": 179
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              "       MedInc  HouseAge  AveRooms  AveBedrms  Population  AveOccup  Latitude  \\\n",
              "59     2.5625       2.0  2.771930   0.754386        94.0  1.649123     37.82   \n",
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              "...       ...       ...       ...        ...         ...       ...       ...   \n",
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              "\n",
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              "summary": "{\n  \"name\": \"df[df[\\\"HouseAge\\\"] < 10]\",\n  \"rows\": 1305,\n  \"fields\": [\n    {\n      \"column\": \"MedInc\",\n      \"properties\": {\n        \"dtype\": \"number\",\n        \"std\": 1.9462020136880083,\n        \"min\": 0.536,\n        \"max\": 15.0001,\n        \"num_unique_values\": 1243,\n        \"samples\": [\n          6.5151,\n          3.5684,\n          3.9914\n        ],\n        \"semantic_type\": \"\",\n        \"description\": \"\"\n      }\n    },\n    {\n      \"column\": \"HouseAge\",\n      \"properties\": {\n        \"dtype\": \"number\",\n        \"std\": 2.0393759752731357,\n        \"min\": 1.0,\n        \"max\": 9.0,\n        \"num_unique_values\": 9,\n        \"samples\": [\n          4.0,\n          5.0,\n          7.0\n        ],\n        \"semantic_type\": \"\",\n        \"description\": \"\"\n      }\n    },\n    {\n      \"column\": \"AveRooms\",\n      \"properties\": {\n        \"dtype\": \"number\",\n        \"std\": 2.4916919545385414,\n        \"min\": 1.0,\n        \"max\": 36.47826086956522,\n        \"num_unique_values\": 1302,\n        \"samples\": [\n          5.976470588235294,\n          5.348684210526316,\n          7.843010752688172\n        ],\n        \"semantic_type\": \"\",\n        \"description\": \"\"\n      }\n    },\n    {\n      \"column\": \"AveBedrms\",\n      \"properties\": {\n        \"dtype\": \"number\",\n        \"std\": 0.3977127571761599,\n        \"min\": 0.5,\n        \"max\": 6.304347826086956,\n        \"num_unique_values\": 1262,\n        \"samples\": [\n          1.59765625,\n          1.0179487179487179,\n          0.971342383107089\n        ],\n        \"semantic_type\": \"\",\n        \"description\": \"\"\n      }\n    },\n    {\n      \"column\": \"Population\",\n      \"properties\": {\n        \"dtype\": \"number\",\n        \"std\": 2130.6086021462456,\n        \"min\": 6.0,\n        \"max\": 16305.0,\n        \"num_unique_values\": 1169,\n        \"samples\": [\n          2028.0,\n          2431.0,\n          2041.0\n        ],\n        \"semantic_type\": \"\",\n        \"description\": \"\"\n      }\n    },\n    {\n      \"column\": \"AveOccup\",\n      \"properties\": {\n        \"dtype\": \"number\",\n        \"std\": 2.9290047518006044,\n        \"min\": 0.6923076923076923,\n        \"max\": 83.17142857142858,\n        \"num_unique_values\": 1292,\n        \"samples\": [\n          3.5172413793103448,\n          3.1245791245791246,\n          3.7627737226277373\n        ],\n        \"semantic_type\": \"\",\n        \"description\": \"\"\n      }\n    },\n    {\n      \"column\": \"Latitude\",\n      \"properties\": {\n        \"dtype\": \"number\",\n        \"std\": 2.086617247710623,\n        \"min\": 32.54,\n        \"max\": 40.62,\n        \"num_unique_values\": 446,\n        \"samples\": [\n          38.47,\n          33.19,\n          35.08\n        ],\n        \"semantic_type\": \"\",\n        \"description\": \"\"\n      }\n    },\n    {\n      \"column\": \"Longitude\",\n      \"properties\": {\n        \"dtype\": \"number\",\n        \"std\": 1.9588599758778134,\n        \"min\": -123.49,\n        \"max\": -115.52,\n        \"num_unique_values\": 462,\n        \"samples\": [\n          -117.83,\n          -121.73,\n          -121.95\n        ],\n        \"semantic_type\": \"\",\n        \"description\": \"\"\n      }\n    },\n    {\n      \"column\": \"MedHouseVal\",\n      \"properties\": {\n        \"dtype\": \"number\",\n        \"std\": 1.0381157092874482,\n        \"min\": 0.225,\n        \"max\": 5.00001,\n        \"num_unique_values\": 979,\n        \"samples\": [\n          1.075,\n          1.252,\n          0.65\n        ],\n        \"semantic_type\": \"\",\n        \"description\": \"\"\n      }\n    }\n  ]\n}"
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          "metadata": {},
          "execution_count": 180
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          "data": {
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              "       MedInc  HouseAge  AveRooms  AveBedrms  Population  AveOccup  Latitude  \\\n",
              "0      8.3252      41.0  6.984127   1.023810       322.0  2.555556     37.88   \n",
              "1      8.3014      21.0  6.238137   0.971880      2401.0  2.109842     37.86   \n",
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              "3      5.6431      52.0  5.817352   1.073059       558.0  2.547945     37.85   \n",
              "4      3.8462      52.0  6.281853   1.081081       565.0  2.181467     37.85   \n",
              "...       ...       ...       ...        ...         ...       ...       ...   \n",
              "20635  1.5603      25.0  5.045455   1.133333       845.0  2.560606     39.48   \n",
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              "20639  2.3886      16.0  5.254717   1.162264      1387.0  2.616981     39.37   \n",
              "\n",
              "       Longitude  MedHouseVal  \n",
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              "      <td>37.88</td>\n",
              "      <td>-122.23</td>\n",
              "      <td>4.526</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>1</th>\n",
              "      <td>8.3014</td>\n",
              "      <td>21.0</td>\n",
              "      <td>6.238137</td>\n",
              "      <td>0.971880</td>\n",
              "      <td>2401.0</td>\n",
              "      <td>2.109842</td>\n",
              "      <td>37.86</td>\n",
              "      <td>-122.22</td>\n",
              "      <td>3.585</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>2</th>\n",
              "      <td>7.2574</td>\n",
              "      <td>52.0</td>\n",
              "      <td>8.288136</td>\n",
              "      <td>1.073446</td>\n",
              "      <td>496.0</td>\n",
              "      <td>2.802260</td>\n",
              "      <td>37.85</td>\n",
              "      <td>-122.24</td>\n",
              "      <td>3.521</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>3</th>\n",
              "      <td>5.6431</td>\n",
              "      <td>52.0</td>\n",
              "      <td>5.817352</td>\n",
              "      <td>1.073059</td>\n",
              "      <td>558.0</td>\n",
              "      <td>2.547945</td>\n",
              "      <td>37.85</td>\n",
              "      <td>-122.25</td>\n",
              "      <td>3.413</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>4</th>\n",
              "      <td>3.8462</td>\n",
              "      <td>52.0</td>\n",
              "      <td>6.281853</td>\n",
              "      <td>1.081081</td>\n",
              "      <td>565.0</td>\n",
              "      <td>2.181467</td>\n",
              "      <td>37.85</td>\n",
              "      <td>-122.25</td>\n",
              "      <td>3.422</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>...</th>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>20635</th>\n",
              "      <td>1.5603</td>\n",
              "      <td>25.0</td>\n",
              "      <td>5.045455</td>\n",
              "      <td>1.133333</td>\n",
              "      <td>845.0</td>\n",
              "      <td>2.560606</td>\n",
              "      <td>39.48</td>\n",
              "      <td>-121.09</td>\n",
              "      <td>0.781</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>20636</th>\n",
              "      <td>2.5568</td>\n",
              "      <td>18.0</td>\n",
              "      <td>6.114035</td>\n",
              "      <td>1.315789</td>\n",
              "      <td>356.0</td>\n",
              "      <td>3.122807</td>\n",
              "      <td>39.49</td>\n",
              "      <td>-121.21</td>\n",
              "      <td>0.771</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>20637</th>\n",
              "      <td>1.7000</td>\n",
              "      <td>17.0</td>\n",
              "      <td>5.205543</td>\n",
              "      <td>1.120092</td>\n",
              "      <td>1007.0</td>\n",
              "      <td>2.325635</td>\n",
              "      <td>39.43</td>\n",
              "      <td>-121.22</td>\n",
              "      <td>0.923</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>20638</th>\n",
              "      <td>1.8672</td>\n",
              "      <td>18.0</td>\n",
              "      <td>5.329513</td>\n",
              "      <td>1.171920</td>\n",
              "      <td>741.0</td>\n",
              "      <td>2.123209</td>\n",
              "      <td>39.43</td>\n",
              "      <td>-121.32</td>\n",
              "      <td>0.847</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>20639</th>\n",
              "      <td>2.3886</td>\n",
              "      <td>16.0</td>\n",
              "      <td>5.254717</td>\n",
              "      <td>1.162264</td>\n",
              "      <td>1387.0</td>\n",
              "      <td>2.616981</td>\n",
              "      <td>39.37</td>\n",
              "      <td>-121.24</td>\n",
              "      <td>0.894</td>\n",
              "    </tr>\n",
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              "type": "dataframe",
              "summary": "{\n  \"name\": \"df[df[\\\"MedInc\\\"] < 10]\",\n  \"rows\": 20331,\n  \"fields\": [\n    {\n      \"column\": \"MedInc\",\n      \"properties\": {\n        \"dtype\": \"number\",\n        \"std\": 1.6234128335661073,\n        \"min\": 0.4999,\n        \"max\": 9.9071,\n        \"num_unique_values\": 12671,\n        \"samples\": [\n          4.7933,\n          5.4555,\n          1.3462\n        ],\n        \"semantic_type\": \"\",\n        \"description\": \"\"\n      }\n    },\n    {\n      \"column\": \"HouseAge\",\n      \"properties\": {\n        \"dtype\": \"number\",\n        \"std\": 12.554779501244454,\n        \"min\": 1.0,\n        \"max\": 52.0,\n        \"num_unique_values\": 52,\n        \"samples\": [\n          35.0,\n          25.0,\n          7.0\n        ],\n        \"semantic_type\": \"\",\n        \"description\": \"\"\n      }\n    },\n    {\n      \"column\": \"AveRooms\",\n      \"properties\": {\n        \"dtype\": \"number\",\n        \"std\": 2.461084737889779,\n        \"min\": 0.8461538461538461,\n        \"max\": 141.9090909090909,\n        \"num_unique_values\": 19102,\n        \"samples\": [\n          4.728758169934641,\n          4.643646408839779,\n          4.726438698915763\n        ],\n        \"semantic_type\": \"\",\n        \"description\": \"\"\n      }\n    },\n    {\n      \"column\": \"AveBedrms\",\n      \"properties\": {\n        \"dtype\": \"number\",\n        \"std\": 0.47665396433045676,\n        \"min\": 0.3333333333333333,\n        \"max\": 34.06666666666667,\n        \"num_unique_values\": 14115,\n        \"samples\": [\n          1.052093973442288,\n          0.9825834542815675,\n          1.0557851239669422\n        ],\n        \"semantic_type\": \"\",\n        \"description\": \"\"\n      }\n    },\n    {\n      \"column\": \"Population\",\n      \"properties\": {\n        \"dtype\": \"number\",\n        \"std\": 1135.305634870428,\n        \"min\": 3.0,\n        \"max\": 35682.0,\n        \"num_unique_values\": 3879,\n        \"samples\": [\n          650.0,\n          610.0,\n          9873.0\n        ],\n        \"semantic_type\": \"\",\n        \"description\": \"\"\n      }\n    },\n    {\n      \"column\": \"AveOccup\",\n      \"properties\": {\n        \"dtype\": \"number\",\n        \"std\": 5.81616812371971,\n        \"min\": 0.6923076923076923,\n        \"max\": 599.7142857142857,\n        \"num_unique_values\": 18598,\n        \"samples\": [\n          3.053291536050157,\n          2.7157894736842105,\n          2.6198347107438016\n        ],\n        \"semantic_type\": \"\",\n        \"description\": \"\"\n      }\n    },\n    {\n      \"column\": \"Latitude\",\n      \"properties\": {\n        \"dtype\": \"number\",\n        \"std\": 2.139959588402724,\n        \"min\": 32.54,\n        \"max\": 41.95,\n        \"num_unique_values\": 862,\n        \"samples\": [\n          33.7,\n          34.52,\n          38.24\n        ],\n        \"semantic_type\": \"\",\n        \"description\": \"\"\n      }\n    },\n    {\n      \"column\": \"Longitude\",\n      \"properties\": {\n        \"dtype\": \"number\",\n        \"std\": 2.0036583062244446,\n        \"min\": -124.35,\n        \"max\": -114.31,\n        \"num_unique_values\": 844,\n        \"samples\": [\n          -118.63,\n          -119.86,\n          -121.26\n        ],\n        \"semantic_type\": \"\",\n        \"description\": \"\"\n      }\n    },\n    {\n      \"column\": \"MedHouseVal\",\n      \"properties\": {\n        \"dtype\": \"number\",\n        \"std\": 1.1088105804647967,\n        \"min\": 0.14999,\n        \"max\": 5.00001,\n        \"num_unique_values\": 3824,\n        \"samples\": [\n          3.492,\n          2.812,\n          2.335\n        ],\n        \"semantic_type\": \"\",\n        \"description\": \"\"\n      }\n    }\n  ]\n}"
            }
          },
          "metadata": {},
          "execution_count": 181
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "df.sort_values(\"MedHouseVal\", ascending=False)"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 419
        },
        "id": "zv4G0aauJCg1",
        "outputId": "92848dd6-e9e7-4ddd-d404-7736b25528a8"
      },
      "execution_count": null,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "        MedInc  HouseAge   AveRooms  AveBedrms  Population  AveOccup  \\\n",
              "5253   13.2935      27.0   7.607143   1.012673      2336.0  2.691244   \n",
              "5254   10.7937      29.0   7.471787   1.217868      1500.0  2.351097   \n",
              "5255    8.5153      40.0   6.407266   0.925430      1564.0  2.990440   \n",
              "5256   12.8665      37.0   7.457565   1.012915      1318.0  2.431734   \n",
              "5257   15.0001      42.0   9.229032   1.161290       829.0  2.674194   \n",
              "...        ...       ...        ...        ...         ...       ...   \n",
              "5887    2.3667      39.0   3.572464   1.217391       259.0  1.876812   \n",
              "9188    4.1932      52.0   3.568889   1.186667       628.0  2.791111   \n",
              "19802   0.5360      36.0  12.250000   3.500000        18.0  2.250000   \n",
              "2799    2.1000      19.0   3.774390   1.457317       490.0  2.987805   \n",
              "2521    1.6607      16.0   6.710526   1.921053        85.0  2.236842   \n",
              "\n",
              "       Latitude  Longitude  MedHouseVal  \n",
              "5253      34.11    -118.49      5.00001  \n",
              "5254      34.07    -118.48      5.00001  \n",
              "5255      34.07    -118.48      5.00001  \n",
              "5256      34.07    -118.48      5.00001  \n",
              "5257      34.06    -118.49      5.00001  \n",
              "...         ...        ...          ...  \n",
              "5887      34.15    -118.33      0.17500  \n",
              "9188      34.24    -117.86      0.14999  \n",
              "19802     40.31    -123.17      0.14999  \n",
              "2799      36.40    -117.02      0.14999  \n",
              "2521      39.71    -122.74      0.14999  \n",
              "\n",
              "[20640 rows x 9 columns]"
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              "  <thead>\n",
              "    <tr style=\"text-align: right;\">\n",
              "      <th></th>\n",
              "      <th>MedInc</th>\n",
              "      <th>HouseAge</th>\n",
              "      <th>AveRooms</th>\n",
              "      <th>AveBedrms</th>\n",
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              "      <th>5253</th>\n",
              "      <td>13.2935</td>\n",
              "      <td>27.0</td>\n",
              "      <td>7.607143</td>\n",
              "      <td>1.012673</td>\n",
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              "      <th>5254</th>\n",
              "      <td>10.7937</td>\n",
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              "      <td>1500.0</td>\n",
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              "      <td>34.07</td>\n",
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              "      <th>5255</th>\n",
              "      <td>8.5153</td>\n",
              "      <td>40.0</td>\n",
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              "      <td>0.925430</td>\n",
              "      <td>1564.0</td>\n",
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              "    <tr>\n",
              "      <th>5256</th>\n",
              "      <td>12.8665</td>\n",
              "      <td>37.0</td>\n",
              "      <td>7.457565</td>\n",
              "      <td>1.012915</td>\n",
              "      <td>1318.0</td>\n",
              "      <td>2.431734</td>\n",
              "      <td>34.07</td>\n",
              "      <td>-118.48</td>\n",
              "      <td>5.00001</td>\n",
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              "      <th>5257</th>\n",
              "      <td>15.0001</td>\n",
              "      <td>42.0</td>\n",
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              "      <td>1.161290</td>\n",
              "      <td>829.0</td>\n",
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              "      <th>5887</th>\n",
              "      <td>2.3667</td>\n",
              "      <td>39.0</td>\n",
              "      <td>3.572464</td>\n",
              "      <td>1.217391</td>\n",
              "      <td>259.0</td>\n",
              "      <td>1.876812</td>\n",
              "      <td>34.15</td>\n",
              "      <td>-118.33</td>\n",
              "      <td>0.17500</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>9188</th>\n",
              "      <td>4.1932</td>\n",
              "      <td>52.0</td>\n",
              "      <td>3.568889</td>\n",
              "      <td>1.186667</td>\n",
              "      <td>628.0</td>\n",
              "      <td>2.791111</td>\n",
              "      <td>34.24</td>\n",
              "      <td>-117.86</td>\n",
              "      <td>0.14999</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>19802</th>\n",
              "      <td>0.5360</td>\n",
              "      <td>36.0</td>\n",
              "      <td>12.250000</td>\n",
              "      <td>3.500000</td>\n",
              "      <td>18.0</td>\n",
              "      <td>2.250000</td>\n",
              "      <td>40.31</td>\n",
              "      <td>-123.17</td>\n",
              "      <td>0.14999</td>\n",
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              "    <tr>\n",
              "      <th>2799</th>\n",
              "      <td>2.1000</td>\n",
              "      <td>19.0</td>\n",
              "      <td>3.774390</td>\n",
              "      <td>1.457317</td>\n",
              "      <td>490.0</td>\n",
              "      <td>2.987805</td>\n",
              "      <td>36.40</td>\n",
              "      <td>-117.02</td>\n",
              "      <td>0.14999</td>\n",
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              "    <tr>\n",
              "      <th>2521</th>\n",
              "      <td>1.6607</td>\n",
              "      <td>16.0</td>\n",
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              "      <td>1.921053</td>\n",
              "      <td>85.0</td>\n",
              "      <td>2.236842</td>\n",
              "      <td>39.71</td>\n",
              "      <td>-122.74</td>\n",
              "      <td>0.14999</td>\n",
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              "summary": "{\n  \"name\": \"df\",\n  \"rows\": 20640,\n  \"fields\": [\n    {\n      \"column\": \"MedInc\",\n      \"properties\": {\n        \"dtype\": \"number\",\n        \"std\": 1.8998217179452719,\n        \"min\": 0.4999,\n        \"max\": 15.0001,\n        \"num_unique_values\": 12928,\n        \"samples\": [\n          2.9143,\n          2.0341,\n          3.2151\n        ],\n        \"semantic_type\": \"\",\n        \"description\": \"\"\n      }\n    },\n    {\n      \"column\": \"HouseAge\",\n      \"properties\": {\n        \"dtype\": \"number\",\n        \"std\": 12.5855576121117,\n        \"min\": 1.0,\n        \"max\": 52.0,\n        \"num_unique_values\": 52,\n        \"samples\": [\n          21.0,\n          19.0,\n          15.0\n        ],\n        \"semantic_type\": \"\",\n        \"description\": \"\"\n      }\n    },\n    {\n      \"column\": \"AveRooms\",\n      \"properties\": {\n        \"dtype\": \"number\",\n        \"std\": 2.4741731394243187,\n        \"min\": 0.8461538461538461,\n        \"max\": 141.9090909090909,\n        \"num_unique_values\": 19392,\n        \"samples\": [\n          3.331360946745562,\n          3.3058510638297873,\n          4.146135265700483\n        ],\n        \"semantic_type\": \"\",\n        \"description\": \"\"\n      }\n    },\n    {\n      \"column\": \"AveBedrms\",\n      \"properties\": {\n        \"dtype\": \"number\",\n        \"std\": 0.473910856795466,\n        \"min\": 0.3333333333333333,\n        \"max\": 34.06666666666667,\n        \"num_unique_values\": 14233,\n        \"samples\": [\n          1.1251908396946564,\n          0.949748743718593,\n          1.003690036900369\n        ],\n        \"semantic_type\": \"\",\n        \"description\": \"\"\n      }\n    },\n    {\n      \"column\": \"Population\",\n      \"properties\": {\n        \"dtype\": \"number\",\n        \"std\": 1132.462121765332,\n        \"min\": 3.0,\n        \"max\": 35682.0,\n        \"num_unique_values\": 3888,\n        \"samples\": [\n          4402.0,\n          1881.0,\n          2585.0\n        ],\n        \"semantic_type\": \"\",\n        \"description\": \"\"\n      }\n    },\n    {\n      \"column\": \"AveOccup\",\n      \"properties\": {\n        \"dtype\": \"number\",\n        \"std\": 10.38604956221361,\n        \"min\": 0.6923076923076923,\n        \"max\": 1243.3333333333333,\n        \"num_unique_values\": 18841,\n        \"samples\": [\n          2.3378196500672948,\n          2.7082494969818915,\n          3.2747524752475248\n        ],\n        \"semantic_type\": \"\",\n        \"description\": \"\"\n      }\n    },\n    {\n      \"column\": \"Latitude\",\n      \"properties\": {\n        \"dtype\": \"number\",\n        \"std\": 2.1359523974571104,\n        \"min\": 32.54,\n        \"max\": 41.95,\n        \"num_unique_values\": 862,\n        \"samples\": [\n          36.27,\n          34.94,\n          33.52\n        ],\n        \"semantic_type\": \"\",\n        \"description\": \"\"\n      }\n    },\n    {\n      \"column\": \"Longitude\",\n      \"properties\": {\n        \"dtype\": \"number\",\n        \"std\": 2.00353172350258,\n        \"min\": -124.35,\n        \"max\": -114.31,\n        \"num_unique_values\": 844,\n        \"samples\": [\n          -120.63,\n          -119.72,\n          -117.47\n        ],\n        \"semantic_type\": \"\",\n        \"description\": \"\"\n      }\n    },\n    {\n      \"column\": \"MedHouseVal\",\n      \"properties\": {\n        \"dtype\": \"number\",\n        \"std\": 1.1539561587441354,\n        \"min\": 0.14999,\n        \"max\": 5.00001,\n        \"num_unique_values\": 3842,\n        \"samples\": [\n          1.96,\n          1.26,\n          2.521\n        ],\n        \"semantic_type\": \"\",\n        \"description\": \"\"\n      }\n    }\n  ]\n}"
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          "metadata": {},
          "execution_count": 182
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        "\n",
        "df[\"MedHouseVal\"].value_counts()"
      ],
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      "execution_count": null,
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            "text/plain": [
              "MedHouseVal\n",
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              "MedHouseVal\n",
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        "df[\n",
        "    df[\"MedHouseVal\"] > 3\n",
        "].sort_values(\n",
        "        \"MedInc\",\n",
        "        ascending=False\n",
        "    ).head()"
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      "execution_count": null,
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              "        MedInc  HouseAge  AveRooms  AveBedrms  Population  AveOccup  Latitude  \\\n",
              "10673  15.0001      13.0  7.842900   0.993958      1865.0  2.817221     33.62   \n",
              "17170  15.0001      33.0  7.446512   1.037209       629.0  2.925581     37.43   \n",
              "17166  15.0001      32.0  8.116608   1.014134       814.0  2.876325     37.40   \n",
              "17111  15.0001      40.0  9.802326   1.135659       831.0  3.220930     37.46   \n",
              "5257   15.0001      42.0  9.229032   1.161290       829.0  2.674194     34.06   \n",
              "\n",
              "       Longitude  MedHouseVal  \n",
              "10673    -117.85      5.00001  \n",
              "17170    -122.27      5.00001  \n",
              "17166    -122.22      5.00001  \n",
              "17111    -122.18      5.00001  \n",
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              "    }\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-3f142615-6966-4db9-853b-4e6535ca70d5 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-3f142615-6966-4db9-853b-4e6535ca70d5');\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>\n",
              "  </div>\n"
            ],
            "application/vnd.google.colaboratory.intrinsic+json": {
              "type": "dataframe",
              "summary": "{\n  \"name\": \"    )\",\n  \"rows\": 5,\n  \"fields\": [\n    {\n      \"column\": \"MedInc\",\n      \"properties\": {\n        \"dtype\": \"number\",\n        \"std\": 0.0,\n        \"min\": 15.0001,\n        \"max\": 15.0001,\n        \"num_unique_values\": 1,\n        \"samples\": [\n          15.0001\n        ],\n        \"semantic_type\": \"\",\n        \"description\": \"\"\n      }\n    },\n    {\n      \"column\": \"HouseAge\",\n      \"properties\": {\n        \"dtype\": \"number\",\n        \"std\": 11.467344941179714,\n        \"min\": 13.0,\n        \"max\": 42.0,\n        \"num_unique_values\": 5,\n        \"samples\": [\n          33.0\n        ],\n        \"semantic_type\": \"\",\n        \"description\": \"\"\n      }\n    },\n    {\n      \"column\": \"AveRooms\",\n      \"properties\": {\n        \"dtype\": \"number\",\n        \"std\": 0.989363810866185,\n        \"min\": 7.446511627906977,\n        \"max\": 9.80232558139535,\n        \"num_unique_values\": 5,\n        \"samples\": [\n          7.446511627906977\n        ],\n        \"semantic_type\": \"\",\n        \"description\": \"\"\n      }\n    },\n    {\n      \"column\": \"AveBedrms\",\n      \"properties\": {\n        \"dtype\": \"number\",\n        \"std\": 0.07518584473867214,\n        \"min\": 0.9939577039274925,\n        \"max\": 1.1612903225806452,\n        \"num_unique_values\": 5,\n        \"samples\": [\n          1.0372093023255815\n        ],\n        \"semantic_type\": \"\",\n        \"description\": \"\"\n      }\n    },\n    {\n      \"column\": \"Population\",\n      \"properties\": {\n        \"dtype\": \"number\",\n        \"std\": 494.48437791299335,\n        \"min\": 629.0,\n        \"max\": 1865.0,\n        \"num_unique_values\": 5,\n        \"samples\": [\n          629.0\n        ],\n        \"semantic_type\": \"\",\n        \"description\": \"\"\n      }\n    },\n    {\n      \"column\": \"AveOccup\",\n      \"properties\": {\n        \"dtype\": \"number\",\n        \"std\": 0.2012532597558359,\n        \"min\": 2.674193548387097,\n        \"max\": 3.2209302325581395,\n        \"num_unique_values\": 5,\n        \"samples\": [\n          2.925581395348837\n        ],\n        \"semantic_type\": \"\",\n        \"description\": \"\"\n      }\n    },\n    {\n      \"column\": \"Latitude\",\n      \"properties\": {\n        \"dtype\": \"number\",\n        \"std\": 1.9725820641991045,\n        \"min\": 33.62,\n        \"max\": 37.46,\n        \"num_unique_values\": 5,\n        \"samples\": [\n          37.43\n        ],\n        \"semantic_type\": \"\",\n        \"description\": \"\"\n      }\n    },\n    {\n      \"column\": \"Longitude\",\n      \"properties\": {\n        \"dtype\": \"number\",\n        \"std\": 2.231831086798464,\n        \"min\": -122.27,\n        \"max\": -117.85,\n        \"num_unique_values\": 5,\n        \"samples\": [\n          -122.27\n        ],\n        \"semantic_type\": \"\",\n        \"description\": \"\"\n      }\n    },\n    {\n      \"column\": \"MedHouseVal\",\n      \"properties\": {\n        \"dtype\": \"number\",\n        \"std\": 0.0,\n        \"min\": 5.00001,\n        \"max\": 5.00001,\n        \"num_unique_values\": 1,\n        \"samples\": [\n          5.00001\n        ],\n        \"semantic_type\": \"\",\n        \"description\": \"\"\n      }\n    }\n  ]\n}"
            }
          },
          "metadata": {},
          "execution_count": 185
        }
      ]
    },
    {
      "cell_type": "markdown",
      "source": [
        "# Visualizations"
      ],
      "metadata": {
        "id": "xIKhxhnfJYSa"
      }
    },
    {
      "cell_type": "code",
      "source": [
        "plt.figure(figsize=(8,5))\n",
        "\n",
        "plt.hist(df[\"MedInc\"], bins=30, edgecolor=\"black\")\n",
        "\n",
        "plt.xlabel(\"Median Income ($10,000)\")\n",
        "plt.ylabel(\"Frequency\")\n",
        "plt.title(\"Distribution of Median Income Values\")"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 504
        },
        "id": "0vl5WUhIJX0G",
        "outputId": "b79521f9-2d2a-4678-8c31-e15fecc5ab61"
      },
      "execution_count": null,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "Text(0.5, 1.0, 'Distribution of Median Income Values')"
            ]
          },
          "metadata": {},
          "execution_count": 186
        },
        {
          "output_type": "display_data",
          "data": {
            "text/plain": [
              "<Figure size 800x500 with 1 Axes>"
            ],
            "image/png": 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\n"
          },
          "metadata": {}
        }
      ]
    },
    {
      "cell_type": "markdown",
      "source": [
        "Most areas are concentrated in the lower-to-middle income ranges, and few observations represent very high-income markets."
      ],
      "metadata": {
        "id": "KPG04Vv9P39N"
      }
    },
    {
      "cell_type": "code",
      "source": [
        "plt.figure(figsize=(8,5))\n",
        "\n",
        "plt.hist(df[\"MedHouseVal\"], bins=30, edgecolor=\"black\")\n",
        "\n",
        "plt.xlabel(\"Median House Value ($100,000s)\")\n",
        "plt.ylabel(\"Frequency\")\n",
        "plt.title(\"Distribution of Median House Values\")\n",
        "\n",
        "plt.show()"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 487
        },
        "id": "8J-XX0GjJgYu",
        "outputId": "cfbdf3b4-4d7e-4d58-e538-3f818c94bac8"
      },
      "execution_count": null,
      "outputs": [
        {
          "output_type": "display_data",
          "data": {
            "text/plain": [
              "<Figure size 800x500 with 1 Axes>"
            ],
            "image/png": 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\n"
          },
          "metadata": {}
        }
      ]
    },
    {
      "cell_type": "markdown",
      "source": [
        "Housing values vary a lot across California. This can show that the real estate agency should evaluate opportunities at the local local level instead of using on a statewide average"
      ],
      "metadata": {
        "id": "vmTgBsUNPdiS"
      }
    },
    {
      "cell_type": "markdown",
      "source": [
        "# Correlation Heatmap"
      ],
      "metadata": {
        "id": "yKy_w8YKJlfP"
      }
    },
    {
      "cell_type": "code",
      "source": [
        "numeric = df.select_dtypes(include=\"number\")\n",
        "plt.figure(figsize=(9, 6))\n",
        "sns.heatmap(\n",
        "    numeric.corr(),\n",
        "    annot=True,\n",
        "    cmap=\"coolwarm\",\n",
        "    linewidths=0.5\n",
        ")\n",
        "plt.title(\"Correlation Between California Housing Variables\")\n",
        "plt.show()"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 624
        },
        "id": "Zy2Za3yWJjDU",
        "outputId": "7709c7a3-551d-4e46-8e15-994032f8b930"
      },
      "execution_count": null,
      "outputs": [
        {
          "output_type": "display_data",
          "data": {
            "text/plain": [
              "<Figure size 900x600 with 2 Axes>"
            ],
            "image/png": 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\n"
          },
          "metadata": {}
        }
      ]
    },
    {
      "cell_type": "markdown",
      "source": [
        "Median income has the strongest positive linear relationship with median house value."
      ],
      "metadata": {
        "id": "W3yHuZVnQVP7"
      }
    },
    {
      "cell_type": "markdown",
      "source": [
        "# Visualization Median Income vs Median House"
      ],
      "metadata": {
        "id": "Daksa45aJ2XI"
      }
    },
    {
      "cell_type": "code",
      "source": [
        "plt.figure(figsize=(8,5))\n",
        "\n",
        "plt.scatter(df[\"MedInc\"], df[\"MedHouseVal\"], alpha=0.3)\n",
        "\n",
        "plt.xlabel(\"Median Income\")\n",
        "plt.ylabel(\"Median House Value ($100,000s)\")\n",
        "plt.title(\"Median Income vs. Median House Value\")\n",
        "\n",
        "plt.show()"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 487
        },
        "id": "zKlh71VZJxp8",
        "outputId": "111afba5-9d32-451c-c076-728490f8c327"
      },
      "execution_count": null,
      "outputs": [
        {
          "output_type": "display_data",
          "data": {
            "text/plain": [
              "<Figure size 800x500 with 1 Axes>"
            ],
            "image/png": 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\n"
          },
          "metadata": {}
        }
      ]
    },
    {
      "cell_type": "markdown",
      "source": [
        "- Higher-income areas generally have higher median housing values, suggesting that local income can be used as an initial indicator."
      ],
      "metadata": {
        "id": "Ncq23E-_QkTO"
      }
    },
    {
      "cell_type": "markdown",
      "source": [
        "Visualization House Value vs. Location"
      ],
      "metadata": {
        "id": "0TtMHwF9KTNT"
      }
    },
    {
      "cell_type": "code",
      "source": [
        "plt.figure(figsize=(8,6))\n",
        "\n",
        "plt.scatter(\n",
        "    df[\"Longitude\"],\n",
        "    df[\"Latitude\"],\n",
        "    c=df[\"MedHouseVal\"],\n",
        "    s=8,\n",
        "    alpha=0.5\n",
        ")\n",
        "\n",
        "plt.colorbar(label=\"Median House Value ($100,000)\")\n",
        "plt.xlabel(\"Longitude\")\n",
        "plt.ylabel(\"Latitude\")\n",
        "plt.title(\"Geographic Distribution of California House Values\")\n",
        "\n",
        "plt.show()"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 564
        },
        "id": "Xlcl2wNEJ-Td",
        "outputId": "17cb8a29-bd09-45ce-e472-5c47b977beb1"
      },
      "execution_count": null,
      "outputs": [
        {
          "output_type": "display_data",
          "data": {
            "text/plain": [
              "<Figure size 800x600 with 2 Axes>"
            ],
            "image/png": 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\n"
          },
          "metadata": {}
        }
      ]
    },
    {
      "cell_type": "markdown",
      "source": [
        "- Housing values form geographic clusters, which indicates that location contributes information that physical and demographic variables alone may not capture."
      ],
      "metadata": {
        "id": "9vbZP-d_RZRT"
      }
    },
    {
      "cell_type": "markdown",
      "source": [
        "# Basic Predictive Model\n",
        "Once the outcome is continuous the linear regression is the model that needs to be used."
      ],
      "metadata": {
        "id": "Ct57Vpd8Kfco"
      }
    },
    {
      "cell_type": "code",
      "source": [
        "from sklearn.model_selection import train_test_split\n",
        "from sklearn.linear_model import LinearRegression\n",
        "from sklearn.metrics import mean_squared_error, r2_score\n",
        "import numpy as np\n",
        "from sklearn.linear_model import LogisticRegression\n",
        "from sklearn.metrics import accuracy_score"
      ],
      "metadata": {
        "id": "EJCi9nKZKfMk"
      },
      "execution_count": null,
      "outputs": []
    },
    {
      "cell_type": "code",
      "source": [
        "X = df.drop(\"MedHouseVal\", axis=1)\n",
        "y = df[\"MedHouseVal\"]\n",
        "\n",
        "X_train, X_test, y_train, y_test = train_test_split(\n",
        "    X,\n",
        "    y,\n",
        "    test_size=0.20,\n",
        "    random_state=42\n",
        ")\n",
        "\n",
        "model = LinearRegression()\n",
        "\n",
        "model.fit(X_train, y_train)\n",
        "\n",
        "y_pred = model.predict(X_test)"
      ],
      "metadata": {
        "id": "02LTK35xK01p"
      },
      "execution_count": null,
      "outputs": []
    },
    {
      "cell_type": "code",
      "source": [
        "from sklearn.metrics import mean_squared_error, r2_score\n",
        "\n",
        "mse = mean_squared_error(y_test, y_pred)\n",
        "rmse = np.sqrt(mse)\n",
        "r2 = r2_score(y_test, y_pred)\n",
        "\n",
        "print(\"RMSE:\", rmse)\n",
        "print(\"R²:\", r2)"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "DGG0wkAYK53z",
        "outputId": "164d506f-6dff-49f8-9ca4-d5247da0504a"
      },
      "execution_count": null,
      "outputs": [
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "RMSE: 0.7455813830127764\n",
            "R²: 0.5757877060324508\n"
          ]
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "# convert RMSE to dollars, since MedHouseVal is in $100,000\n",
        "rmse_usd = rmse * 100000\n",
        "\n",
        "print(f\"RMSE: {rmse:.3f} ($100,000 units)\")\n",
        "print(f\"RMSE in dollars: ${rmse_usd:,.0f}\")\n",
        "print(f\"R²: {r2:.3f}\")"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "va-7JtVESKZB",
        "outputId": "91798dd1-0489-41c7-fbd2-1cb299510125"
      },
      "execution_count": null,
      "outputs": [
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "RMSE: 0.746 ($100,000 units)\n",
            "RMSE in dollars: $74,558\n",
            "R²: 0.576\n"
          ]
        }
      ]
    }
  ]
}