{
  "cells": [
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "_N5oqLI4eCeO"
      },
      "source": [
        "# Manos a la obra! 👨‍💻"
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "urKkdJ9ymte7"
      },
      "source": [
        "<h1>Te damos la bienvenida a Colab</h1>\n",
        "\n",
        "Si ya conoces Colab, mira este video para aprender sobre las tablas interactivas, la vista histórica de código ejecutado y la paleta de comandos.\n",
        "\n",
        "<center>\n",
        "\n",
        "<img src=\"https://miro.medium.com/v2/resize:fit:986/1*S2AyJcdw8EPcn7gwDVSBCA.png\" width=400/>\n",
        "\n",
        "</center>"
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "H6o7dLgqmjQC"
      },
      "source": [
        "<h1>¿Qué es Colab?</h1>\n",
        "\n",
        "Colab, o \"Colaboratory\", te permite escribir y ejecutar código de Python en tu navegador, con\n",
        "- Una configuración lista para que empieces a programar\n",
        "- Acceso gratuito a GPU\n",
        "- Facilidad para compartir\n",
        "\n",
        "Seas <strong>estudiante</strong>, <strong>científico de datos</strong> o <strong>investigador de IA</strong>, Colab facilita tu trabajo. Mira <a href=\"https://www.youtube.com/watch?v=inN8seMm7UI\">este video introductorio sobre Colab</a> para obtener más información, o bien comienza a usarlo más abajo."
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "8pcxg-32GY_6"
      },
      "source": [
        "## Comandos básicos de Python"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": 333,
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "nPv3c8TgG9cV",
        "outputId": "60bc9576-b58d-49c6-8451-251c8d878fe1"
      },
      "outputs": [
        {
          "name": "stdout",
          "output_type": "stream",
          "text": [
            "Hola, mundo\n"
          ]
        }
      ],
      "source": [
        "# Imprimir un mensaje\n",
        "print(\"Hola, mundo\")"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": 334,
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "g1cZRH4aGvAS",
        "outputId": "69195475-226a-4126-e9c6-e2e7e57d3f12"
      },
      "outputs": [
        {
          "data": {
            "text/plain": [
              "86400"
            ]
          },
          "execution_count": 334,
          "metadata": {},
          "output_type": "execute_result"
        }
      ],
      "source": [
        "# Hacer cálculos básicos\n",
        "segundos_en_un_dia = 24 * 60 * 60\n",
        "segundos_en_un_dia"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": 335,
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "jLkgFRyGGwMK",
        "outputId": "1598649e-1f34-4100-c7c9-a94a7f5fe81e"
      },
      "outputs": [
        {
          "data": {
            "text/plain": [
              "int"
            ]
          },
          "execution_count": 335,
          "metadata": {},
          "output_type": "execute_result"
        }
      ],
      "source": [
        "type(segundos_en_un_dia)"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": 336,
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "dR2fcSUHHDCW",
        "outputId": "aac17b80-5798-4848-9800-12eca84afd68"
      },
      "outputs": [
        {
          "name": "stdout",
          "output_type": "stream",
          "text": [
            "30\n"
          ]
        }
      ],
      "source": [
        "# Variables\n",
        "x = 10\n",
        "y = 20\n",
        "z = x + y\n",
        "print(z)"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": 337,
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "OaUHGczrHF4l",
        "outputId": "a4ed8030-bd9f-48eb-b457-b66ee20230f6"
      },
      "outputs": [
        {
          "name": "stdout",
          "output_type": "stream",
          "text": [
            "[1, 2, 3, 4, 5]\n"
          ]
        }
      ],
      "source": [
        "# Listas\n",
        "mi_lista = [1, 2, 3, 4, 5]\n",
        "print(mi_lista)"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": 338,
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "H1m9aXKYHH1b",
        "outputId": "cd3d914c-947a-4655-b40a-69dcf7fd631c"
      },
      "outputs": [
        {
          "name": "stdout",
          "output_type": "stream",
          "text": [
            "1\n",
            "2\n",
            "3\n",
            "4\n",
            "5\n"
          ]
        }
      ],
      "source": [
        "# Bucles\n",
        "for i in mi_lista:\n",
        "    print(i)"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": 339,
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "mh0JjaTQHKUI",
        "outputId": "a70f35c4-bdad-4726-ed0a-0f24ae470a6b"
      },
      "outputs": [
        {
          "name": "stdout",
          "output_type": "stream",
          "text": [
            "x es menor que y\n"
          ]
        }
      ],
      "source": [
        "# Condicionales\n",
        "if x < y:\n",
        "    print(\"x es menor que y\")\n",
        "else:\n",
        "    print(\"x no es menor que y\")"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": 340,
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "TSLMIxfhHhtB",
        "outputId": "21130bdd-a843-4bed-ef01-92c454b13115"
      },
      "outputs": [
        {
          "name": "stdout",
          "output_type": "stream",
          "text": [
            "Ingresa tu nombre: \n",
            "\n",
            " Hola  como estás?\n"
          ]
        }
      ],
      "source": [
        "nombre = input(\"Ingresa tu nombre: \")\n",
        "print(\"\\n Hola \"+nombre+\" como estás?\")"
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "_vAeI-CIH8Mp"
      },
      "source": [
        "## Ejercicio Práctico: Procesemos algo con Pandas"
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "6K7qYkGZIumC"
      },
      "source": [
        "### Carguemos una base de datos\n",
        "\n",
        "El data set es el resultado de realizar un web scraping a una página web que contiene avisos de ventas de viviendas en Chile, y fue realizado con el fin de poder aprender su metodología.\n",
        "\n",
        "Los datos que contiene son los valores de únicamente CASAS USADAS que se venden en la región metropolitana de Chile y que están publicado en el sitio web https://chilepropiedades.cl/ en la primera semana de mayo de 2020\n",
        "\n",
        "\n",
        "[Enlance DB](https://www.kaggle.com/datasets/gorkigonzalez/casas-usadas-rm-chile-mayo-2020/data?select=Casas+usadas+-+RM+Mayo+2020.csv )\n",
        "\n",
        "\n"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": 1,
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 539
        },
        "id": "HP7Ps8kPmi9X",
        "outputId": "91c4ed13-aee8-4a72-e03a-ada465939010"
      },
      "outputs": [
        {
          "data": {
            "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>Comuna</th>\n",
              "      <th>Link</th>\n",
              "      <th>Tipo_Vivienda</th>\n",
              "      <th>N_Habitaciones</th>\n",
              "      <th>N_Baños</th>\n",
              "      <th>N_Estacionamientos</th>\n",
              "      <th>Total_Superficie_M2</th>\n",
              "      <th>Superficie_Construida_M2</th>\n",
              "      <th>Valor_UF</th>\n",
              "      <th>Valor_CLP</th>\n",
              "      <th>Dirección</th>\n",
              "      <th>Quién_Vende</th>\n",
              "      <th>Corredor</th>\n",
              "      <th>Latitud (Decimal)</th>\n",
              "      <th>Longitud (decimal)</th>\n",
              "    </tr>\n",
              "  </thead>\n",
              "  <tbody>\n",
              "    <tr>\n",
              "      <th>0</th>\n",
              "      <td>Calera de Tango</td>\n",
              "      <td>https://chilepropiedades.cl/ver-publicacion/ve...</td>\n",
              "      <td>Casa</td>\n",
              "      <td>5.0</td>\n",
              "      <td>6.0</td>\n",
              "      <td>3</td>\n",
              "      <td>5000</td>\n",
              "      <td>440</td>\n",
              "      <td>12.2</td>\n",
              "      <td>351360000</td>\n",
              "      <td>Calera de Tango, Queilen</td>\n",
              "      <td>Gabriela Mellado V.</td>\n",
              "      <td>Zenpro Propiedades</td>\n",
              "      <td>-33.6278</td>\n",
              "      <td>-70.785</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>1</th>\n",
              "      <td>Calera de Tango</td>\n",
              "      <td>https://chilepropiedades.cl/ver-publicacion/ve...</td>\n",
              "      <td>Casa</td>\n",
              "      <td>6.0</td>\n",
              "      <td>6.0</td>\n",
              "      <td>6</td>\n",
              "      <td>5000</td>\n",
              "      <td>430</td>\n",
              "      <td>13.0</td>\n",
              "      <td>374400000</td>\n",
              "      <td>Calera de Tango, Queilen</td>\n",
              "      <td>Gabriela Mellado V.</td>\n",
              "      <td>Zenpro Propiedades</td>\n",
              "      <td>-33.6278</td>\n",
              "      <td>-70.785</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>2</th>\n",
              "      <td>Calera de Tango</td>\n",
              "      <td>https://chilepropiedades.cl/ver-publicacion/ve...</td>\n",
              "      <td>Casa</td>\n",
              "      <td>3.0</td>\n",
              "      <td>3.0</td>\n",
              "      <td>No</td>\n",
              "      <td>2027</td>\n",
              "      <td>140</td>\n",
              "      <td>10.3</td>\n",
              "      <td>296640000</td>\n",
              "      <td>Calera de Tango, Avenida calera de tango   con...</td>\n",
              "      <td>Alonso Baeza Rivera y Cía. Ltda. (Kennedy)</td>\n",
              "      <td>Alonso Baeza Rivera y Cía. Ltda. (Kennedy)</td>\n",
              "      <td>-33.6278</td>\n",
              "      <td>-70.785</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>3</th>\n",
              "      <td>Calera de Tango</td>\n",
              "      <td>https://chilepropiedades.cl/ver-publicacion/ve...</td>\n",
              "      <td>Casa</td>\n",
              "      <td>8.0</td>\n",
              "      <td>6.0</td>\n",
              "      <td>No</td>\n",
              "      <td>5000</td>\n",
              "      <td>480</td>\n",
              "      <td>21.5</td>\n",
              "      <td>619200000</td>\n",
              "      <td>Calera de Tango, Paradero 14 1/2/5 kilometros ...</td>\n",
              "      <td>RED Gestión Propiedades</td>\n",
              "      <td>Red Gestión Propiedades</td>\n",
              "      <td>-33.6278</td>\n",
              "      <td>-70.785</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>4</th>\n",
              "      <td>Calera de Tango</td>\n",
              "      <td>https://chilepropiedades.cl/ver-publicacion/ve...</td>\n",
              "      <td>Casa</td>\n",
              "      <td>3.0</td>\n",
              "      <td>2.0</td>\n",
              "      <td>3</td>\n",
              "      <td>5000</td>\n",
              "      <td>196</td>\n",
              "      <td>9.1</td>\n",
              "      <td>262080000</td>\n",
              "      <td>Calera de Tango, Condominio El Trébol de Caler...</td>\n",
              "      <td>Gabriela Mellado V.</td>\n",
              "      <td>Zenpro Propiedades</td>\n",
              "      <td>-33.6278</td>\n",
              "      <td>-70.785</td>\n",
              "    </tr>\n",
              "  </tbody>\n",
              "</table>\n",
              "</div>"
            ],
            "text/plain": [
              "            Comuna                                               Link  \\\n",
              "0  Calera de Tango  https://chilepropiedades.cl/ver-publicacion/ve...   \n",
              "1  Calera de Tango  https://chilepropiedades.cl/ver-publicacion/ve...   \n",
              "2  Calera de Tango  https://chilepropiedades.cl/ver-publicacion/ve...   \n",
              "3  Calera de Tango  https://chilepropiedades.cl/ver-publicacion/ve...   \n",
              "4  Calera de Tango  https://chilepropiedades.cl/ver-publicacion/ve...   \n",
              "\n",
              "  Tipo_Vivienda  N_Habitaciones  N_Baños N_Estacionamientos  \\\n",
              "0          Casa             5.0      6.0                  3   \n",
              "1          Casa             6.0      6.0                  6   \n",
              "2          Casa             3.0      3.0                 No   \n",
              "3          Casa             8.0      6.0                 No   \n",
              "4          Casa             3.0      2.0                  3   \n",
              "\n",
              "  Total_Superficie_M2 Superficie_Construida_M2   Valor_UF   Valor_CLP  \\\n",
              "0                5000                      440        12.2  351360000   \n",
              "1                5000                      430        13.0  374400000   \n",
              "2                2027                      140        10.3  296640000   \n",
              "3                5000                      480        21.5  619200000   \n",
              "4                5000                      196         9.1  262080000   \n",
              "\n",
              "                                           Dirección  \\\n",
              "0                           Calera de Tango, Queilen   \n",
              "1                           Calera de Tango, Queilen   \n",
              "2  Calera de Tango, Avenida calera de tango   con...   \n",
              "3  Calera de Tango, Paradero 14 1/2/5 kilometros ...   \n",
              "4  Calera de Tango, Condominio El Trébol de Caler...   \n",
              "\n",
              "                                  Quién_Vende  \\\n",
              "0                         Gabriela Mellado V.   \n",
              "1                         Gabriela Mellado V.   \n",
              "2  Alonso Baeza Rivera y Cía. Ltda. (Kennedy)   \n",
              "3                     RED Gestión Propiedades   \n",
              "4                         Gabriela Mellado V.   \n",
              "\n",
              "                                     Corredor  Latitud (Decimal)  \\\n",
              "0                          Zenpro Propiedades           -33.6278   \n",
              "1                          Zenpro Propiedades           -33.6278   \n",
              "2  Alonso Baeza Rivera y Cía. Ltda. (Kennedy)           -33.6278   \n",
              "3                     Red Gestión Propiedades           -33.6278   \n",
              "4                          Zenpro Propiedades           -33.6278   \n",
              "\n",
              "   Longitud (decimal)  \n",
              "0             -70.785  \n",
              "1             -70.785  \n",
              "2             -70.785  \n",
              "3             -70.785  \n",
              "4             -70.785  "
            ]
          },
          "execution_count": 1,
          "metadata": {},
          "output_type": "execute_result"
        }
      ],
      "source": [
        "import pandas as pd\n",
        "\n",
        "df = pd.read_csv(\"https://raw.githubusercontent.com/BioAITeamLearning/Taller_introPython/main/data/Casas_RM_Mayo_2020_Con_Coordenadas.csv\")\n",
        "\n",
        "df.head()"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": 342,
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "-jh2f62C69_t",
        "outputId": "5b26cdde-81e9-4a84-fcdd-b96b3ca1c829"
      },
      "outputs": [
        {
          "name": "stdout",
          "output_type": "stream",
          "text": [
            "<class 'pandas.core.frame.DataFrame'>\n",
            "RangeIndex: 1139 entries, 0 to 1138\n",
            "Data columns (total 15 columns):\n",
            " #   Column                    Non-Null Count  Dtype  \n",
            "---  ------                    --------------  -----  \n",
            " 0   Comuna                    1139 non-null   object \n",
            " 1   Link                      1139 non-null   object \n",
            " 2   Tipo_Vivienda             1139 non-null   object \n",
            " 3   N_Habitaciones            1131 non-null   float64\n",
            " 4   N_Baños                   1118 non-null   float64\n",
            " 5   N_Estacionamientos        1067 non-null   object \n",
            " 6   Total_Superficie_M2       1102 non-null   object \n",
            " 7   Superficie_Construida_M2  1103 non-null   object \n",
            " 8    Valor_UF                 1139 non-null   float64\n",
            " 9   Valor_CLP                 1139 non-null   int64  \n",
            " 10  Dirección                 1102 non-null   object \n",
            " 11  Quién_Vende               1139 non-null   object \n",
            " 12  Corredor                  1139 non-null   object \n",
            " 13  Latitud (Decimal)         1139 non-null   float64\n",
            " 14  Longitud (decimal)        1139 non-null   float64\n",
            "dtypes: float64(5), int64(1), object(9)\n",
            "memory usage: 133.6+ KB\n"
          ]
        }
      ],
      "source": [
        "# Revisemos cada una de las caracteristicas.\n",
        "df.info()"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": 343,
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "ZBiBrm8cc6eR",
        "outputId": "4990b7a6-cb16-4424-b53c-1888c6bf3757"
      },
      "outputs": [
        {
          "data": {
            "text/plain": [
              "Comuna                       0\n",
              "Link                         0\n",
              "Tipo_Vivienda                0\n",
              "N_Habitaciones               8\n",
              "N_Baños                     21\n",
              "N_Estacionamientos          72\n",
              "Total_Superficie_M2         37\n",
              "Superficie_Construida_M2    36\n",
              " Valor_UF                    0\n",
              "Valor_CLP                    0\n",
              "Dirección                   37\n",
              "Quién_Vende                  0\n",
              "Corredor                     0\n",
              "Latitud (Decimal)            0\n",
              "Longitud (decimal)           0\n",
              "dtype: int64"
            ]
          },
          "execution_count": 343,
          "metadata": {},
          "output_type": "execute_result"
        }
      ],
      "source": [
        "# Revisemos las muestras que son NaN en la base de datos x columna\n",
        "df.isna().sum()"
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "nMdry1ZEJwrV"
      },
      "source": [
        "### Limpieza de datos"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": 344,
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "Vosk284q58V4",
        "outputId": "1b6ec8f7-c24d-4faa-8d48-400eeae79aa6"
      },
      "outputs": [
        {
          "data": {
            "text/plain": [
              "Comuna                      0\n",
              "Tipo_Vivienda               0\n",
              "N_Habitaciones              0\n",
              "N_Baños                     0\n",
              "N_Estacionamientos          0\n",
              "Total_Superficie_M2         0\n",
              "Superficie_Construida_M2    0\n",
              " Valor_UF                   0\n",
              "Valor_CLP                   0\n",
              "Dirección                   0\n",
              "Quién_Vende                 0\n",
              "Corredor                    0\n",
              "Latitud (Decimal)           0\n",
              "Longitud (decimal)          0\n",
              "dtype: int64"
            ]
          },
          "execution_count": 344,
          "metadata": {},
          "output_type": "execute_result"
        }
      ],
      "source": [
        "# Eliminemos columnas que no necesitaremos\n",
        "df.dropna(inplace=True)\n",
        "\n",
        "# y quitemos la del enlace que no es útil\n",
        "df.drop(['Link'],axis=1,inplace=True)\n",
        "\n",
        "df.isna().sum()"
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "UIt2-wM_KGPH"
      },
      "source": [
        "### Visualización de datos en python"
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "QCxnnXz-Qc2p"
      },
      "source": [
        "#### Barras"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": 345,
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 573
        },
        "id": "cclGr3WqSOAr",
        "outputId": "3bf9298b-66c4-4810-9e79-6586c588bc59"
      },
      "outputs": [
        {
          "data": {
            "image/png": 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",
            "text/plain": [
              "<Figure size 1200x600 with 1 Axes>"
            ]
          },
          "metadata": {},
          "output_type": "display_data"
        }
      ],
      "source": [
        "import matplotlib.pyplot as plt\n",
        "import pandas as pd\n",
        "\n",
        "plt.figure(figsize=(12, 6))\n",
        "\n",
        "# Graficar la cantidad de casas por comuna\n",
        "df['Comuna'].value_counts().plot(kind='bar', color='coral', edgecolor='black')\n",
        "\n",
        "\n",
        "# Agregar algunos datos a la gráfica resultante\n",
        "plt.title('Cantidad de Propiedades por Comuna')\n",
        "plt.xlabel('Comuna')\n",
        "plt.ylabel('Cantidad de Propiedades')\n",
        "plt.xticks(rotation=45, ha='right')\n",
        "plt.tight_layout()\n",
        "plt.show()\n"
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "lZ4SAFR1QgEy"
      },
      "source": [
        "#### Histograma"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": 346,
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 562
        },
        "id": "UU4Uvigxme1Z",
        "outputId": "90b463f0-925c-4fa3-aa5a-3e67b5eb6747"
      },
      "outputs": [
        {
          "data": {
            "image/png": 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",
            "text/plain": [
              "<Figure size 1200x600 with 1 Axes>"
            ]
          },
          "metadata": {},
          "output_type": "display_data"
        }
      ],
      "source": [
        "# Generamos la figura donde vamos a trabajar\n",
        "plt.figure(figsize=(12, 6))\n",
        "\n",
        "# Usamos pandas para graficar los datos de la columna en forma de histograma\n",
        "df[' Valor_UF '].dropna().astype(float).plot(kind='hist', bins=50, color='skyblue', edgecolor='black')\n",
        "\n",
        "\n",
        "# Agregamos información al gráfico para mejor visualización\n",
        "plt.title('Distribución de Precios en UF')\n",
        "plt.xlabel('Precio en UF')\n",
        "plt.ylabel('Cantidad de Propiedades')\n",
        "plt.grid(axis='y', alpha=0.75)\n",
        "plt.show()\n"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": 347,
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 562
        },
        "id": "-agQbGUsSX0j",
        "outputId": "312908aa-0d18-4786-a4ce-f0c7e7df9955"
      },
      "outputs": [
        {
          "data": {
            "image/png": 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",
            "text/plain": [
              "<Figure size 1200x600 with 1 Axes>"
            ]
          },
          "metadata": {},
          "output_type": "display_data"
        }
      ],
      "source": [
        "plt.figure(figsize=(12, 6))\n",
        "\n",
        "# Graficar el histograma de la cantidad de habitaciones de las casas\n",
        "df['N_Habitaciones'].dropna().astype(int).plot(kind='hist', bins=range(1,11), color='lightgreen', edgecolor='black')\n",
        "\n",
        "# Agregar Información a la imágen\n",
        "plt.title('Distribución del Número de Habitaciones')\n",
        "plt.xlabel('Número de Habitaciones')\n",
        "plt.ylabel('Cantidad de Propiedades')\n",
        "plt.grid(axis='y', alpha=0.75)\n",
        "plt.show()\n"
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "C-4ES_YUQne8"
      },
      "source": [
        "#### Torta"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": 348,
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 1000
        },
        "id": "nswbe1HiTBGO",
        "outputId": "02f8d0a5-4e47-4bff-9829-62cd1ae8c97c"
      },
      "outputs": [
        {
          "data": {
            "image/png": 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            "text/plain": [
              "<Figure size 1500x1500 with 1 Axes>"
            ]
          },
          "metadata": {},
          "output_type": "display_data"
        }
      ],
      "source": [
        "# Calculamos las frecuencias de cada tipo de vivienda\n",
        "N_habs = df['N_Habitaciones'].value_counts()\n",
        "\n",
        "plt.figure(figsize=(15, 15))\n",
        "\n",
        "# Realizamos un gráfico de torta\n",
        "plt.pie(N_habs, labels=N_habs.index, autopct='%1.1f%%',rotatelabels=True)\n",
        "\n",
        "# Añadir información a la gráfica.\n",
        "plt.title('Distribución de casas por # de habitaciones')\n",
        "plt.show()\n",
        "\n"
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "lgnI2FRkQuvU"
      },
      "source": [
        "#### Scatter de caracteristicas"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": 349,
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 1000
        },
        "id": "Dwxy5KuNj25g",
        "outputId": "4350e1d8-a963-457b-f25d-1dd949ce2649"
      },
      "outputs": [
        {
          "data": {
            "image/png": 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",
            "text/plain": [
              "<Figure size 1500x1500 with 36 Axes>"
            ]
          },
          "metadata": {},
          "output_type": "display_data"
        }
      ],
      "source": [
        "from pandas.plotting import scatter_matrix\n",
        "import matplotlib.pyplot as plt\n",
        "\n",
        "# Seleccionamos solo las columnas numéricas del DataFrame\n",
        "df_numeric = df.select_dtypes(include=['float64', 'int64'])\n",
        "\n",
        "# Crea el scatter matrix\n",
        "scatter_matrix(df_numeric, alpha=0.2, figsize=(15, 15), diagonal='kde')\n",
        "\n",
        "plt.show()\n"
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "KMFmP38LQK3v"
      },
      "source": [
        "#### Visualización de datos geográficos"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": 350,
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "iLEr_QuDitb3",
        "outputId": "98aa112d-2a25-463d-8d4b-f376e8133592"
      },
      "outputs": [
        {
          "name": "stdout",
          "output_type": "stream",
          "text": [
            "Requirement already satisfied: folium in /usr/local/lib/python3.10/dist-packages (0.14.0)\n",
            "Requirement already satisfied: branca>=0.6.0 in /usr/local/lib/python3.10/dist-packages (from folium) (0.7.1)\n",
            "Requirement already satisfied: jinja2>=2.9 in /usr/local/lib/python3.10/dist-packages (from folium) (3.1.3)\n",
            "Requirement already satisfied: numpy in /usr/local/lib/python3.10/dist-packages (from folium) (1.25.2)\n",
            "Requirement already satisfied: requests in /usr/local/lib/python3.10/dist-packages (from folium) (2.31.0)\n",
            "Requirement already satisfied: MarkupSafe>=2.0 in /usr/local/lib/python3.10/dist-packages (from jinja2>=2.9->folium) (2.1.5)\n",
            "Requirement already satisfied: charset-normalizer<4,>=2 in /usr/local/lib/python3.10/dist-packages (from requests->folium) (3.3.2)\n",
            "Requirement already satisfied: idna<4,>=2.5 in /usr/local/lib/python3.10/dist-packages (from requests->folium) (3.6)\n",
            "Requirement already satisfied: urllib3<3,>=1.21.1 in /usr/local/lib/python3.10/dist-packages (from requests->folium) (2.0.7)\n",
            "Requirement already satisfied: certifi>=2017.4.17 in /usr/local/lib/python3.10/dist-packages (from requests->folium) (2024.2.2)\n"
          ]
        }
      ],
      "source": [
        "!pip install folium"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": 351,
      "metadata": {
        "id": "OSacKMdojpNA"
      },
      "outputs": [],
      "source": [
        "import pandas as pd\n",
        "\n",
        "# Convertimos a float las columnas necesarias\n",
        "df['Latitud (Decimal)'] = pd.to_numeric(df['Latitud (Decimal)'], errors='coerce')\n",
        "df['Longitud (decimal)'] = pd.to_numeric(df['Longitud (decimal)'], errors='coerce')\n",
        "df['N_Habitaciones'] = pd.to_numeric(df['N_Habitaciones'], errors='coerce')\n",
        "\n",
        "# Agrupamos por comuna para sumar las habitaciones y calcular la latitud y longitud promedio\n",
        "df_grouped = df.groupby('Comuna').agg({\n",
        "    'N_Habitaciones': 'count',\n",
        "    'Latitud (Decimal)': 'mean',\n",
        "    'Longitud (decimal)': 'mean'\n",
        "}).reset_index()\n"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": 352,
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 693
        },
        "id": "ptoaoi50jtCy",
        "outputId": "e8e99926-13ba-4e88-b003-6bc1b7eec184"
      },
      "outputs": [
        {
          "data": {
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              "    \n",
              "    &lt;meta http-equiv=&quot;content-type&quot; content=&quot;text/html; charset=UTF-8&quot; /&gt;\n",
              "    \n",
              "        &lt;script&gt;\n",
              "            L_NO_TOUCH = false;\n",
              "            L_DISABLE_3D = false;\n",
              "        &lt;/script&gt;\n",
              "    \n",
              "    &lt;style&gt;html, body {width: 100%;height: 100%;margin: 0;padding: 0;}&lt;/style&gt;\n",
              "    &lt;style&gt;#map {position:absolute;top:0;bottom:0;right:0;left:0;}&lt;/style&gt;\n",
              "    &lt;script src=&quot;https://cdn.jsdelivr.net/npm/leaflet@1.9.3/dist/leaflet.js&quot;&gt;&lt;/script&gt;\n",
              "    &lt;script src=&quot;https://code.jquery.com/jquery-1.12.4.min.js&quot;&gt;&lt;/script&gt;\n",
              "    &lt;script src=&quot;https://cdn.jsdelivr.net/npm/bootstrap@5.2.2/dist/js/bootstrap.bundle.min.js&quot;&gt;&lt;/script&gt;\n",
              "    &lt;script src=&quot;https://cdnjs.cloudflare.com/ajax/libs/Leaflet.awesome-markers/2.0.2/leaflet.awesome-markers.js&quot;&gt;&lt;/script&gt;\n",
              "    &lt;link rel=&quot;stylesheet&quot; href=&quot;https://cdn.jsdelivr.net/npm/leaflet@1.9.3/dist/leaflet.css&quot;/&gt;\n",
              "    &lt;link rel=&quot;stylesheet&quot; href=&quot;https://cdn.jsdelivr.net/npm/bootstrap@5.2.2/dist/css/bootstrap.min.css&quot;/&gt;\n",
              "    &lt;link rel=&quot;stylesheet&quot; href=&quot;https://netdna.bootstrapcdn.com/bootstrap/3.0.0/css/bootstrap.min.css&quot;/&gt;\n",
              "    &lt;link rel=&quot;stylesheet&quot; href=&quot;https://cdn.jsdelivr.net/npm/@fortawesome/fontawesome-free@6.2.0/css/all.min.css&quot;/&gt;\n",
              "    &lt;link rel=&quot;stylesheet&quot; href=&quot;https://cdnjs.cloudflare.com/ajax/libs/Leaflet.awesome-markers/2.0.2/leaflet.awesome-markers.css&quot;/&gt;\n",
              "    &lt;link rel=&quot;stylesheet&quot; href=&quot;https://cdn.jsdelivr.net/gh/python-visualization/folium/folium/templates/leaflet.awesome.rotate.min.css&quot;/&gt;\n",
              "    \n",
              "            &lt;meta name=&quot;viewport&quot; content=&quot;width=device-width,\n",
              "                initial-scale=1.0, maximum-scale=1.0, user-scalable=no&quot; /&gt;\n",
              "            &lt;style&gt;\n",
              "                #map_63f98a1366d1c7a1924889b3bc88947d {\n",
              "                    position: relative;\n",
              "                    width: 100.0%;\n",
              "                    height: 100.0%;\n",
              "                    left: 0.0%;\n",
              "                    top: 0.0%;\n",
              "                }\n",
              "                .leaflet-container { font-size: 1rem; }\n",
              "            &lt;/style&gt;\n",
              "        \n",
              "&lt;/head&gt;\n",
              "&lt;body&gt;\n",
              "    \n",
              "    \n",
              "            &lt;div class=&quot;folium-map&quot; id=&quot;map_63f98a1366d1c7a1924889b3bc88947d&quot; &gt;&lt;/div&gt;\n",
              "        \n",
              "&lt;/body&gt;\n",
              "&lt;script&gt;\n",
              "    \n",
              "    \n",
              "            var map_63f98a1366d1c7a1924889b3bc88947d = L.map(\n",
              "                &quot;map_63f98a1366d1c7a1924889b3bc88947d&quot;,\n",
              "                {\n",
              "                    center: [-33.45, -70.65],\n",
              "                    crs: L.CRS.EPSG3857,\n",
              "                    zoom: 11,\n",
              "                    zoomControl: true,\n",
              "                    preferCanvas: false,\n",
              "                }\n",
              "            );\n",
              "\n",
              "            \n",
              "\n",
              "        \n",
              "    \n",
              "            var tile_layer_3cbf7f55782688edddc2f14e06fa1f6d = L.tileLayer(\n",
              "                &quot;https://{s}.tile.openstreetmap.org/{z}/{x}/{y}.png&quot;,\n",
              "                {&quot;attribution&quot;: &quot;Data by \\u0026copy; \\u003ca target=\\&quot;_blank\\&quot; href=\\&quot;http://openstreetmap.org\\&quot;\\u003eOpenStreetMap\\u003c/a\\u003e, under \\u003ca target=\\&quot;_blank\\&quot; href=\\&quot;http://www.openstreetmap.org/copyright\\&quot;\\u003eODbL\\u003c/a\\u003e.&quot;, &quot;detectRetina&quot;: false, &quot;maxNativeZoom&quot;: 18, &quot;maxZoom&quot;: 18, &quot;minZoom&quot;: 0, &quot;noWrap&quot;: false, &quot;opacity&quot;: 1, &quot;subdomains&quot;: &quot;abc&quot;, &quot;tms&quot;: false}\n",
              "            ).addTo(map_63f98a1366d1c7a1924889b3bc88947d);\n",
              "        \n",
              "    \n",
              "            var marker_9bee0e8a56df33b56ce2e9e67c498278 = L.marker(\n",
              "                [-33.6278, -70.785],\n",
              "                {}\n",
              "            ).addTo(map_63f98a1366d1c7a1924889b3bc88947d);\n",
              "        \n",
              "    \n",
              "            var icon_461067ecc05432afd88b4ae0466599a8 = L.AwesomeMarkers.icon(\n",
              "                {&quot;extraClasses&quot;: &quot;fa-rotate-0&quot;, &quot;icon&quot;: &quot;info-sign&quot;, &quot;iconColor&quot;: &quot;white&quot;, &quot;markerColor&quot;: &quot;blue&quot;, &quot;prefix&quot;: &quot;glyphicon&quot;}\n",
              "            );\n",
              "            marker_9bee0e8a56df33b56ce2e9e67c498278.setIcon(icon_461067ecc05432afd88b4ae0466599a8);\n",
              "        \n",
              "    \n",
              "        var popup_68974b930271d6c7c72654005f6f4fb1 = L.popup({&quot;maxWidth&quot;: &quot;100%&quot;});\n",
              "\n",
              "        \n",
              "            \n",
              "                var html_be32fd77324b0ceaf6a239b56f57b199 = $(`&lt;div id=&quot;html_be32fd77324b0ceaf6a239b56f57b199&quot; style=&quot;width: 100.0%; height: 100.0%;&quot;&gt;Calera de Tango: 14 casas&lt;/div&gt;`)[0];\n",
              "                popup_68974b930271d6c7c72654005f6f4fb1.setContent(html_be32fd77324b0ceaf6a239b56f57b199);\n",
              "            \n",
              "        \n",
              "\n",
              "        marker_9bee0e8a56df33b56ce2e9e67c498278.bindPopup(popup_68974b930271d6c7c72654005f6f4fb1)\n",
              "        ;\n",
              "\n",
              "        \n",
              "    \n",
              "    \n",
              "            var marker_b8cc0f0b416aab9701fc95a547fd06a6 = L.marker(\n",
              "                [-33.5, -70.7167],\n",
              "                {}\n",
              "            ).addTo(map_63f98a1366d1c7a1924889b3bc88947d);\n",
              "        \n",
              "    \n",
              "            var icon_e4a4f45e9ffb81f7f80bd81bdeb338bd = L.AwesomeMarkers.icon(\n",
              "                {&quot;extraClasses&quot;: &quot;fa-rotate-0&quot;, &quot;icon&quot;: &quot;info-sign&quot;, &quot;iconColor&quot;: &quot;white&quot;, &quot;markerColor&quot;: &quot;blue&quot;, &quot;prefix&quot;: &quot;glyphicon&quot;}\n",
              "            );\n",
              "            marker_b8cc0f0b416aab9701fc95a547fd06a6.setIcon(icon_e4a4f45e9ffb81f7f80bd81bdeb338bd);\n",
              "        \n",
              "    \n",
              "        var popup_72bbc3b62ffd8b1af83e78097af8a771 = L.popup({&quot;maxWidth&quot;: &quot;100%&quot;});\n",
              "\n",
              "        \n",
              "            \n",
              "                var html_c7dd530dde86e2b92e3a84dd1e98231a = $(`&lt;div id=&quot;html_c7dd530dde86e2b92e3a84dd1e98231a&quot; style=&quot;width: 100.0%; height: 100.0%;&quot;&gt;Cerrillos: 13 casas&lt;/div&gt;`)[0];\n",
              "                popup_72bbc3b62ffd8b1af83e78097af8a771.setContent(html_c7dd530dde86e2b92e3a84dd1e98231a);\n",
              "            \n",
              "        \n",
              "\n",
              "        marker_b8cc0f0b416aab9701fc95a547fd06a6.bindPopup(popup_72bbc3b62ffd8b1af83e78097af8a771)\n",
              "        ;\n",
              "\n",
              "        \n",
              "    \n",
              "    \n",
              "            var marker_809bc7b8731caf93d8568e649cbe1524 = L.marker(\n",
              "                [-33.4219, -70.735],\n",
              "                {}\n",
              "            ).addTo(map_63f98a1366d1c7a1924889b3bc88947d);\n",
              "        \n",
              "    \n",
              "            var icon_49a465fe31b0b3eeec3bfae85111d94a = L.AwesomeMarkers.icon(\n",
              "                {&quot;extraClasses&quot;: &quot;fa-rotate-0&quot;, &quot;icon&quot;: &quot;info-sign&quot;, &quot;iconColor&quot;: &quot;white&quot;, &quot;markerColor&quot;: &quot;blue&quot;, &quot;prefix&quot;: &quot;glyphicon&quot;}\n",
              "            );\n",
              "            marker_809bc7b8731caf93d8568e649cbe1524.setIcon(icon_49a465fe31b0b3eeec3bfae85111d94a);\n",
              "        \n",
              "    \n",
              "        var popup_9aa5a77b4b73c1529b36a50a4989fa93 = L.popup({&quot;maxWidth&quot;: &quot;100%&quot;});\n",
              "\n",
              "        \n",
              "            \n",
              "                var html_0750d5c2b9c504c4476e7d9eda453229 = $(`&lt;div id=&quot;html_0750d5c2b9c504c4476e7d9eda453229&quot; style=&quot;width: 100.0%; height: 100.0%;&quot;&gt;Cerro Navia: 2 casas&lt;/div&gt;`)[0];\n",
              "                popup_9aa5a77b4b73c1529b36a50a4989fa93.setContent(html_0750d5c2b9c504c4476e7d9eda453229);\n",
              "            \n",
              "        \n",
              "\n",
              "        marker_809bc7b8731caf93d8568e649cbe1524.bindPopup(popup_9aa5a77b4b73c1529b36a50a4989fa93)\n",
              "        ;\n",
              "\n",
              "        \n",
              "    \n",
              "    \n",
              "            var marker_358a02565c806f1655689d08147efd34 = L.marker(\n",
              "                [-33.1939, -70.6678],\n",
              "                {}\n",
              "            ).addTo(map_63f98a1366d1c7a1924889b3bc88947d);\n",
              "        \n",
              "    \n",
              "            var icon_be4759e83576fe0f499f5180f5fa4bb2 = L.AwesomeMarkers.icon(\n",
              "                {&quot;extraClasses&quot;: &quot;fa-rotate-0&quot;, &quot;icon&quot;: &quot;info-sign&quot;, &quot;iconColor&quot;: &quot;white&quot;, &quot;markerColor&quot;: &quot;blue&quot;, &quot;prefix&quot;: &quot;glyphicon&quot;}\n",
              "            );\n",
              "            marker_358a02565c806f1655689d08147efd34.setIcon(icon_be4759e83576fe0f499f5180f5fa4bb2);\n",
              "        \n",
              "    \n",
              "        var popup_d4e7447134f631734a8bd5bb962096d8 = L.popup({&quot;maxWidth&quot;: &quot;100%&quot;});\n",
              "\n",
              "        \n",
              "            \n",
              "                var html_d4fdb55f450512e4cc2f1546fba01bd6 = $(`&lt;div id=&quot;html_d4fdb55f450512e4cc2f1546fba01bd6&quot; style=&quot;width: 100.0%; height: 100.0%;&quot;&gt;Colina: 40 casas&lt;/div&gt;`)[0];\n",
              "                popup_d4e7447134f631734a8bd5bb962096d8.setContent(html_d4fdb55f450512e4cc2f1546fba01bd6);\n",
              "            \n",
              "        \n",
              "\n",
              "        marker_358a02565c806f1655689d08147efd34.bindPopup(popup_d4e7447134f631734a8bd5bb962096d8)\n",
              "        ;\n",
              "\n",
              "        \n",
              "    \n",
              "    \n",
              "            var marker_be91707aa97e70d1ffecd0fc9ed5d8fd = L.marker(\n",
              "                [-33.38, -70.675],\n",
              "                {}\n",
              "            ).addTo(map_63f98a1366d1c7a1924889b3bc88947d);\n",
              "        \n",
              "    \n",
              "            var icon_edb2c160818f4413f10d419433f90339 = L.AwesomeMarkers.icon(\n",
              "                {&quot;extraClasses&quot;: &quot;fa-rotate-0&quot;, &quot;icon&quot;: &quot;info-sign&quot;, &quot;iconColor&quot;: &quot;white&quot;, &quot;markerColor&quot;: &quot;blue&quot;, &quot;prefix&quot;: &quot;glyphicon&quot;}\n",
              "            );\n",
              "            marker_be91707aa97e70d1ffecd0fc9ed5d8fd.setIcon(icon_edb2c160818f4413f10d419433f90339);\n",
              "        \n",
              "    \n",
              "        var popup_39025022dad794d22b9ce769e11fee78 = L.popup({&quot;maxWidth&quot;: &quot;100%&quot;});\n",
              "\n",
              "        \n",
              "            \n",
              "                var html_d6ff7802e1590175f11bda2f030655ab = $(`&lt;div id=&quot;html_d6ff7802e1590175f11bda2f030655ab&quot; style=&quot;width: 100.0%; height: 100.0%;&quot;&gt;Conchalí: 14 casas&lt;/div&gt;`)[0];\n",
              "                popup_39025022dad794d22b9ce769e11fee78.setContent(html_d6ff7802e1590175f11bda2f030655ab);\n",
              "            \n",
              "        \n",
              "\n",
              "        marker_be91707aa97e70d1ffecd0fc9ed5d8fd.bindPopup(popup_39025022dad794d22b9ce769e11fee78)\n",
              "        ;\n",
              "\n",
              "        \n",
              "    \n",
              "    \n",
              "            var marker_2a3399c86401b67ba98d959ad9e0916b = L.marker(\n",
              "                [-33.5669, -70.675],\n",
              "                {}\n",
              "            ).addTo(map_63f98a1366d1c7a1924889b3bc88947d);\n",
              "        \n",
              "    \n",
              "            var icon_ac4122b06eda33d5fc2fcff0a92f6163 = L.AwesomeMarkers.icon(\n",
              "                {&quot;extraClasses&quot;: &quot;fa-rotate-0&quot;, &quot;icon&quot;: &quot;info-sign&quot;, &quot;iconColor&quot;: &quot;white&quot;, &quot;markerColor&quot;: &quot;blue&quot;, &quot;prefix&quot;: &quot;glyphicon&quot;}\n",
              "            );\n",
              "            marker_2a3399c86401b67ba98d959ad9e0916b.setIcon(icon_ac4122b06eda33d5fc2fcff0a92f6163);\n",
              "        \n",
              "    \n",
              "        var popup_62a846706dd622c4fde61c7b564657ae = L.popup({&quot;maxWidth&quot;: &quot;100%&quot;});\n",
              "\n",
              "        \n",
              "            \n",
              "                var html_a10d95b7d0832b2c800072eb31f05d2a = $(`&lt;div id=&quot;html_a10d95b7d0832b2c800072eb31f05d2a&quot; style=&quot;width: 100.0%; height: 100.0%;&quot;&gt;El Bosque: 15 casas&lt;/div&gt;`)[0];\n",
              "                popup_62a846706dd622c4fde61c7b564657ae.setContent(html_a10d95b7d0832b2c800072eb31f05d2a);\n",
              "            \n",
              "        \n",
              "\n",
              "        marker_2a3399c86401b67ba98d959ad9e0916b.bindPopup(popup_62a846706dd622c4fde61c7b564657ae)\n",
              "        ;\n",
              "\n",
              "        \n",
              "    \n",
              "    \n",
              "            var marker_98c393025e60d7eff22679df0e2f9a0d = L.marker(\n",
              "                [-33.6839, -71.0169],\n",
              "                {}\n",
              "            ).addTo(map_63f98a1366d1c7a1924889b3bc88947d);\n",
              "        \n",
              "    \n",
              "            var icon_1484483546e12ff80cbf97678ab115a9 = L.AwesomeMarkers.icon(\n",
              "                {&quot;extraClasses&quot;: &quot;fa-rotate-0&quot;, &quot;icon&quot;: &quot;info-sign&quot;, &quot;iconColor&quot;: &quot;white&quot;, &quot;markerColor&quot;: &quot;blue&quot;, &quot;prefix&quot;: &quot;glyphicon&quot;}\n",
              "            );\n",
              "            marker_98c393025e60d7eff22679df0e2f9a0d.setIcon(icon_1484483546e12ff80cbf97678ab115a9);\n",
              "        \n",
              "    \n",
              "        var popup_58c0034d00c550260b8cafc6c983de4d = L.popup({&quot;maxWidth&quot;: &quot;100%&quot;});\n",
              "\n",
              "        \n",
              "            \n",
              "                var html_9e1ea52431169edfaf09004aa8a5f360 = $(`&lt;div id=&quot;html_9e1ea52431169edfaf09004aa8a5f360&quot; style=&quot;width: 100.0%; height: 100.0%;&quot;&gt;El Monte: 2 casas&lt;/div&gt;`)[0];\n",
              "                popup_58c0034d00c550260b8cafc6c983de4d.setContent(html_9e1ea52431169edfaf09004aa8a5f360);\n",
              "            \n",
              "        \n",
              "\n",
              "        marker_98c393025e60d7eff22679df0e2f9a0d.bindPopup(popup_58c0034d00c550260b8cafc6c983de4d)\n",
              "        ;\n",
              "\n",
              "        \n",
              "    \n",
              "    \n",
              "            var marker_5f412ff0dd17ea34f614a59f6885f981 = L.marker(\n",
              "                [-33.4589, -70.6989],\n",
              "                {}\n",
              "            ).addTo(map_63f98a1366d1c7a1924889b3bc88947d);\n",
              "        \n",
              "    \n",
              "            var icon_a9a6e1df4ba4dab5b1a1021a5865b2bf = L.AwesomeMarkers.icon(\n",
              "                {&quot;extraClasses&quot;: &quot;fa-rotate-0&quot;, &quot;icon&quot;: &quot;info-sign&quot;, &quot;iconColor&quot;: &quot;white&quot;, &quot;markerColor&quot;: &quot;blue&quot;, &quot;prefix&quot;: &quot;glyphicon&quot;}\n",
              "            );\n",
              "            marker_5f412ff0dd17ea34f614a59f6885f981.setIcon(icon_a9a6e1df4ba4dab5b1a1021a5865b2bf);\n",
              "        \n",
              "    \n",
              "        var popup_7e024904acba6908095fb894b1770717 = L.popup({&quot;maxWidth&quot;: &quot;100%&quot;});\n",
              "\n",
              "        \n",
              "            \n",
              "                var html_cbed8f06aa05433f71fc1c17ff563eb8 = $(`&lt;div id=&quot;html_cbed8f06aa05433f71fc1c17ff563eb8&quot; style=&quot;width: 100.0%; height: 100.0%;&quot;&gt;Estación Central: 9 casas&lt;/div&gt;`)[0];\n",
              "                popup_7e024904acba6908095fb894b1770717.setContent(html_cbed8f06aa05433f71fc1c17ff563eb8);\n",
              "            \n",
              "        \n",
              "\n",
              "        marker_5f412ff0dd17ea34f614a59f6885f981.bindPopup(popup_7e024904acba6908095fb894b1770717)\n",
              "        ;\n",
              "\n",
              "        \n",
              "    \n",
              "    \n",
              "            var marker_ad4e9d084a19180a8066d7b5681614bf = L.marker(\n",
              "                [-33.3678, -70.6339],\n",
              "                {}\n",
              "            ).addTo(map_63f98a1366d1c7a1924889b3bc88947d);\n",
              "        \n",
              "    \n",
              "            var icon_cea1b7803afe3661a269170c7a34a056 = L.AwesomeMarkers.icon(\n",
              "                {&quot;extraClasses&quot;: &quot;fa-rotate-0&quot;, &quot;icon&quot;: &quot;info-sign&quot;, &quot;iconColor&quot;: &quot;white&quot;, &quot;markerColor&quot;: &quot;blue&quot;, &quot;prefix&quot;: &quot;glyphicon&quot;}\n",
              "            );\n",
              "            marker_ad4e9d084a19180a8066d7b5681614bf.setIcon(icon_cea1b7803afe3661a269170c7a34a056);\n",
              "        \n",
              "    \n",
              "        var popup_2ed63dbfe342970f3fcb597acf5b451d = L.popup({&quot;maxWidth&quot;: &quot;100%&quot;});\n",
              "\n",
              "        \n",
              "            \n",
              "                var html_351719a4fbd10b8295378d8da54a338c = $(`&lt;div id=&quot;html_351719a4fbd10b8295378d8da54a338c&quot; style=&quot;width: 100.0%; height: 100.0%;&quot;&gt;Huechuraba: 25 casas&lt;/div&gt;`)[0];\n",
              "                popup_2ed63dbfe342970f3fcb597acf5b451d.setContent(html_351719a4fbd10b8295378d8da54a338c);\n",
              "            \n",
              "        \n",
              "\n",
              "        marker_ad4e9d084a19180a8066d7b5681614bf.bindPopup(popup_2ed63dbfe342970f3fcb597acf5b451d)\n",
              "        ;\n",
              "\n",
              "        \n",
              "    \n",
              "    \n",
              "            var marker_7635e43083b91beb2ba21c1245c4253b = L.marker(\n",
              "                [-33.4128, -70.6658],\n",
              "                {}\n",
              "            ).addTo(map_63f98a1366d1c7a1924889b3bc88947d);\n",
              "        \n",
              "    \n",
              "            var icon_20ec648f33f81ce2869abea8160f5a1e = L.AwesomeMarkers.icon(\n",
              "                {&quot;extraClasses&quot;: &quot;fa-rotate-0&quot;, &quot;icon&quot;: &quot;info-sign&quot;, &quot;iconColor&quot;: &quot;white&quot;, &quot;markerColor&quot;: &quot;blue&quot;, &quot;prefix&quot;: &quot;glyphicon&quot;}\n",
              "            );\n",
              "            marker_7635e43083b91beb2ba21c1245c4253b.setIcon(icon_20ec648f33f81ce2869abea8160f5a1e);\n",
              "        \n",
              "    \n",
              "        var popup_0a6e391f59811388348f8720cf33432d = L.popup({&quot;maxWidth&quot;: &quot;100%&quot;});\n",
              "\n",
              "        \n",
              "            \n",
              "                var html_994043675fbcf4d11aea4ae20c812abd = $(`&lt;div id=&quot;html_994043675fbcf4d11aea4ae20c812abd&quot; style=&quot;width: 100.0%; height: 100.0%;&quot;&gt;Independencia: 12 casas&lt;/div&gt;`)[0];\n",
              "                popup_0a6e391f59811388348f8720cf33432d.setContent(html_994043675fbcf4d11aea4ae20c812abd);\n",
              "            \n",
              "        \n",
              "\n",
              "        marker_7635e43083b91beb2ba21c1245c4253b.bindPopup(popup_0a6e391f59811388348f8720cf33432d)\n",
              "        ;\n",
              "\n",
              "        \n",
              "    \n",
              "    \n",
              "            var marker_597b1e8b4dcb3ede4f4c10277d1ea552 = L.marker(\n",
              "                [-33.5289, -70.6628],\n",
              "                {}\n",
              "            ).addTo(map_63f98a1366d1c7a1924889b3bc88947d);\n",
              "        \n",
              "    \n",
              "            var icon_a95b3b617cabbad089eeb33b411af8ed = L.AwesomeMarkers.icon(\n",
              "                {&quot;extraClasses&quot;: &quot;fa-rotate-0&quot;, &quot;icon&quot;: &quot;info-sign&quot;, &quot;iconColor&quot;: &quot;white&quot;, &quot;markerColor&quot;: &quot;blue&quot;, &quot;prefix&quot;: &quot;glyphicon&quot;}\n",
              "            );\n",
              "            marker_597b1e8b4dcb3ede4f4c10277d1ea552.setIcon(icon_a95b3b617cabbad089eeb33b411af8ed);\n",
              "        \n",
              "    \n",
              "        var popup_54a64a395a259197412eac64fa6903b8 = L.popup({&quot;maxWidth&quot;: &quot;100%&quot;});\n",
              "\n",
              "        \n",
              "            \n",
              "                var html_5860f4961b54ab2076059ad6cecea4d0 = $(`&lt;div id=&quot;html_5860f4961b54ab2076059ad6cecea4d0&quot; style=&quot;width: 100.0%; height: 100.0%;&quot;&gt;La Cisterna: 22 casas&lt;/div&gt;`)[0];\n",
              "                popup_54a64a395a259197412eac64fa6903b8.setContent(html_5860f4961b54ab2076059ad6cecea4d0);\n",
              "            \n",
              "        \n",
              "\n",
              "        marker_597b1e8b4dcb3ede4f4c10277d1ea552.bindPopup(popup_54a64a395a259197412eac64fa6903b8)\n",
              "        ;\n",
              "\n",
              "        \n",
              "    \n",
              "    \n",
              "            var marker_00008bdb2b47ff32818d1de1e9a4c546 = L.marker(\n",
              "                [-33.525, -70.5378],\n",
              "                {}\n",
              "            ).addTo(map_63f98a1366d1c7a1924889b3bc88947d);\n",
              "        \n",
              "    \n",
              "            var icon_234cf30d4b4699bb4d8169a19474702f = L.AwesomeMarkers.icon(\n",
              "                {&quot;extraClasses&quot;: &quot;fa-rotate-0&quot;, &quot;icon&quot;: &quot;info-sign&quot;, &quot;iconColor&quot;: &quot;white&quot;, &quot;markerColor&quot;: &quot;blue&quot;, &quot;prefix&quot;: &quot;glyphicon&quot;}\n",
              "            );\n",
              "            marker_00008bdb2b47ff32818d1de1e9a4c546.setIcon(icon_234cf30d4b4699bb4d8169a19474702f);\n",
              "        \n",
              "    \n",
              "        var popup_9dc0a7bff1b73c111a1140d4808336b2 = L.popup({&quot;maxWidth&quot;: &quot;100%&quot;});\n",
              "\n",
              "        \n",
              "            \n",
              "                var html_f9029e09cd3ec307b7e315eb09796401 = $(`&lt;div id=&quot;html_f9029e09cd3ec307b7e315eb09796401&quot; style=&quot;width: 100.0%; height: 100.0%;&quot;&gt;La Florida: 22 casas&lt;/div&gt;`)[0];\n",
              "                popup_9dc0a7bff1b73c111a1140d4808336b2.setContent(html_f9029e09cd3ec307b7e315eb09796401);\n",
              "            \n",
              "        \n",
              "\n",
              "        marker_00008bdb2b47ff32818d1de1e9a4c546.bindPopup(popup_9dc0a7bff1b73c111a1140d4808336b2)\n",
              "        ;\n",
              "\n",
              "        \n",
              "    \n",
              "    \n",
              "            var marker_6b0a8ba0e270e6503165fc18e92b7787 = L.marker(\n",
              "                [-33.5833, -70.5833],\n",
              "                {}\n",
              "            ).addTo(map_63f98a1366d1c7a1924889b3bc88947d);\n",
              "        \n",
              "    \n",
              "            var icon_ab6682f05bd22891d5a0e76b6b9c53cb = L.AwesomeMarkers.icon(\n",
              "                {&quot;extraClasses&quot;: &quot;fa-rotate-0&quot;, &quot;icon&quot;: &quot;info-sign&quot;, &quot;iconColor&quot;: &quot;white&quot;, &quot;markerColor&quot;: &quot;blue&quot;, &quot;prefix&quot;: &quot;glyphicon&quot;}\n",
              "            );\n",
              "            marker_6b0a8ba0e270e6503165fc18e92b7787.setIcon(icon_ab6682f05bd22891d5a0e76b6b9c53cb);\n",
              "        \n",
              "    \n",
              "        var popup_eced978432dd258a5b62c0f28d55c01b = L.popup({&quot;maxWidth&quot;: &quot;100%&quot;});\n",
              "\n",
              "        \n",
              "            \n",
              "                var html_0546555d13fbf3a65645afcb3d4d8acd = $(`&lt;div id=&quot;html_0546555d13fbf3a65645afcb3d4d8acd&quot; style=&quot;width: 100.0%; height: 100.0%;&quot;&gt;La Granja: 11 casas&lt;/div&gt;`)[0];\n",
              "                popup_eced978432dd258a5b62c0f28d55c01b.setContent(html_0546555d13fbf3a65645afcb3d4d8acd);\n",
              "            \n",
              "        \n",
              "\n",
              "        marker_6b0a8ba0e270e6503165fc18e92b7787.bindPopup(popup_eced978432dd258a5b62c0f28d55c01b)\n",
              "        ;\n",
              "\n",
              "        \n",
              "    \n",
              "    \n",
              "            var marker_a59e0f44ebbcfb05dec7fae681809d5a = L.marker(\n",
              "                [-33.5828, -70.6339],\n",
              "                {}\n",
              "            ).addTo(map_63f98a1366d1c7a1924889b3bc88947d);\n",
              "        \n",
              "    \n",
              "            var icon_ccdebc8ad9121b0ff0f10f893250b8e0 = L.AwesomeMarkers.icon(\n",
              "                {&quot;extraClasses&quot;: &quot;fa-rotate-0&quot;, &quot;icon&quot;: &quot;info-sign&quot;, &quot;iconColor&quot;: &quot;white&quot;, &quot;markerColor&quot;: &quot;blue&quot;, &quot;prefix&quot;: &quot;glyphicon&quot;}\n",
              "            );\n",
              "            marker_a59e0f44ebbcfb05dec7fae681809d5a.setIcon(icon_ccdebc8ad9121b0ff0f10f893250b8e0);\n",
              "        \n",
              "    \n",
              "        var popup_8e097e74b7d9967602d0678231fa0d15 = L.popup({&quot;maxWidth&quot;: &quot;100%&quot;});\n",
              "\n",
              "        \n",
              "            \n",
              "                var html_33d8d92bf9c2f9f02764d5066110c844 = $(`&lt;div id=&quot;html_33d8d92bf9c2f9f02764d5066110c844&quot; style=&quot;width: 100.0%; height: 100.0%;&quot;&gt;La Pintana: 17 casas&lt;/div&gt;`)[0];\n",
              "                popup_8e097e74b7d9967602d0678231fa0d15.setContent(html_33d8d92bf9c2f9f02764d5066110c844);\n",
              "            \n",
              "        \n",
              "\n",
              "        marker_a59e0f44ebbcfb05dec7fae681809d5a.bindPopup(popup_8e097e74b7d9967602d0678231fa0d15)\n",
              "        ;\n",
              "\n",
              "        \n",
              "    \n",
              "    \n",
              "            var marker_7a501d23f8f6d85fb28c84765bbb515a = L.marker(\n",
              "                [-33.4428, -70.5319],\n",
              "                {}\n",
              "            ).addTo(map_63f98a1366d1c7a1924889b3bc88947d);\n",
              "        \n",
              "    \n",
              "            var icon_e03aa280deaff85dee25a1b9db987aef = L.AwesomeMarkers.icon(\n",
              "                {&quot;extraClasses&quot;: &quot;fa-rotate-0&quot;, &quot;icon&quot;: &quot;info-sign&quot;, &quot;iconColor&quot;: &quot;white&quot;, &quot;markerColor&quot;: &quot;blue&quot;, &quot;prefix&quot;: &quot;glyphicon&quot;}\n",
              "            );\n",
              "            marker_7a501d23f8f6d85fb28c84765bbb515a.setIcon(icon_e03aa280deaff85dee25a1b9db987aef);\n",
              "        \n",
              "    \n",
              "        var popup_431b09e02e24e952a7c57cb545b4b13c = L.popup({&quot;maxWidth&quot;: &quot;100%&quot;});\n",
              "\n",
              "        \n",
              "            \n",
              "                var html_925ebd3ef60ce1369f74ef53e1a9503e = $(`&lt;div id=&quot;html_925ebd3ef60ce1369f74ef53e1a9503e&quot; style=&quot;width: 100.0%; height: 100.0%;&quot;&gt;La Reina: 44 casas&lt;/div&gt;`)[0];\n",
              "                popup_431b09e02e24e952a7c57cb545b4b13c.setContent(html_925ebd3ef60ce1369f74ef53e1a9503e);\n",
              "            \n",
              "        \n",
              "\n",
              "        marker_7a501d23f8f6d85fb28c84765bbb515a.bindPopup(popup_431b09e02e24e952a7c57cb545b4b13c)\n",
              "        ;\n",
              "\n",
              "        \n",
              "    \n",
              "    \n",
              "            var marker_3d69e022ef07370a67ed034a3bfda5e5 = L.marker(\n",
              "                [-33.2858, -70.8778],\n",
              "                {}\n",
              "            ).addTo(map_63f98a1366d1c7a1924889b3bc88947d);\n",
              "        \n",
              "    \n",
              "            var icon_3ac7b9d821509ed8e23feb9b8a5a414b = L.AwesomeMarkers.icon(\n",
              "                {&quot;extraClasses&quot;: &quot;fa-rotate-0&quot;, &quot;icon&quot;: &quot;info-sign&quot;, &quot;iconColor&quot;: &quot;white&quot;, &quot;markerColor&quot;: &quot;blue&quot;, &quot;prefix&quot;: &quot;glyphicon&quot;}\n",
              "            );\n",
              "            marker_3d69e022ef07370a67ed034a3bfda5e5.setIcon(icon_3ac7b9d821509ed8e23feb9b8a5a414b);\n",
              "        \n",
              "    \n",
              "        var popup_eb1b3ede12cfb16d82263ff052aff31c = L.popup({&quot;maxWidth&quot;: &quot;100%&quot;});\n",
              "\n",
              "        \n",
              "            \n",
              "                var html_0897e72088b05770a45d090807b6aea8 = $(`&lt;div id=&quot;html_0897e72088b05770a45d090807b6aea8&quot; style=&quot;width: 100.0%; height: 100.0%;&quot;&gt;Lampa: 38 casas&lt;/div&gt;`)[0];\n",
              "                popup_eb1b3ede12cfb16d82263ff052aff31c.setContent(html_0897e72088b05770a45d090807b6aea8);\n",
              "            \n",
              "        \n",
              "\n",
              "        marker_3d69e022ef07370a67ed034a3bfda5e5.bindPopup(popup_eb1b3ede12cfb16d82263ff052aff31c)\n",
              "        ;\n",
              "\n",
              "        \n",
              "    \n",
              "    \n",
              "            var marker_d161141b12bd77fd14663d866c440f04 = L.marker(\n",
              "                [-33.4167, -70.5833],\n",
              "                {}\n",
              "            ).addTo(map_63f98a1366d1c7a1924889b3bc88947d);\n",
              "        \n",
              "    \n",
              "            var icon_2235a799baeb11e2ddd4872109e1df56 = L.AwesomeMarkers.icon(\n",
              "                {&quot;extraClasses&quot;: &quot;fa-rotate-0&quot;, &quot;icon&quot;: &quot;info-sign&quot;, &quot;iconColor&quot;: &quot;white&quot;, &quot;markerColor&quot;: &quot;blue&quot;, &quot;prefix&quot;: &quot;glyphicon&quot;}\n",
              "            );\n",
              "            marker_d161141b12bd77fd14663d866c440f04.setIcon(icon_2235a799baeb11e2ddd4872109e1df56);\n",
              "        \n",
              "    \n",
              "        var popup_e1f7d86273362619568a19322850815a = L.popup({&quot;maxWidth&quot;: &quot;100%&quot;});\n",
              "\n",
              "        \n",
              "            \n",
              "                var html_6cff0e84c3aa7267d4229d80bbd01631 = $(`&lt;div id=&quot;html_6cff0e84c3aa7267d4229d80bbd01631&quot; style=&quot;width: 100.0%; height: 100.0%;&quot;&gt;Las Condes: 48 casas&lt;/div&gt;`)[0];\n",
              "                popup_e1f7d86273362619568a19322850815a.setContent(html_6cff0e84c3aa7267d4229d80bbd01631);\n",
              "            \n",
              "        \n",
              "\n",
              "        marker_d161141b12bd77fd14663d866c440f04.bindPopup(popup_e1f7d86273362619568a19322850815a)\n",
              "        ;\n",
              "\n",
              "        \n",
              "    \n",
              "    \n",
              "            var marker_67ab6c62f7f559ae06eccc6ba538bbd5 = L.marker(\n",
              "                [-33.35, -70.5167],\n",
              "                {}\n",
              "            ).addTo(map_63f98a1366d1c7a1924889b3bc88947d);\n",
              "        \n",
              "    \n",
              "            var icon_31cae835a93811a46e19b7b1a9d216d9 = L.AwesomeMarkers.icon(\n",
              "                {&quot;extraClasses&quot;: &quot;fa-rotate-0&quot;, &quot;icon&quot;: &quot;info-sign&quot;, &quot;iconColor&quot;: &quot;white&quot;, &quot;markerColor&quot;: &quot;blue&quot;, &quot;prefix&quot;: &quot;glyphicon&quot;}\n",
              "            );\n",
              "            marker_67ab6c62f7f559ae06eccc6ba538bbd5.setIcon(icon_31cae835a93811a46e19b7b1a9d216d9);\n",
              "        \n",
              "    \n",
              "        var popup_e7512d9d2eee9868bd8d9c4bf116accf = L.popup({&quot;maxWidth&quot;: &quot;100%&quot;});\n",
              "\n",
              "        \n",
              "            \n",
              "                var html_eb5381825c7f2c1e0bd95cbf6e8ba193 = $(`&lt;div id=&quot;html_eb5381825c7f2c1e0bd95cbf6e8ba193&quot; style=&quot;width: 100.0%; height: 100.0%;&quot;&gt;Lo Barnechea: 48 casas&lt;/div&gt;`)[0];\n",
              "                popup_e7512d9d2eee9868bd8d9c4bf116accf.setContent(html_eb5381825c7f2c1e0bd95cbf6e8ba193);\n",
              "            \n",
              "        \n",
              "\n",
              "        marker_67ab6c62f7f559ae06eccc6ba538bbd5.bindPopup(popup_e7512d9d2eee9868bd8d9c4bf116accf)\n",
              "        ;\n",
              "\n",
              "        \n",
              "    \n",
              "    \n",
              "            var marker_e8cdf92d2b0883d8b1d91a923bc185e8 = L.marker(\n",
              "                [-33.5219, -70.6869],\n",
              "                {}\n",
              "            ).addTo(map_63f98a1366d1c7a1924889b3bc88947d);\n",
              "        \n",
              "    \n",
              "            var icon_3137473608b2ec4c7507f0c1d4f636dd = L.AwesomeMarkers.icon(\n",
              "                {&quot;extraClasses&quot;: &quot;fa-rotate-0&quot;, &quot;icon&quot;: &quot;info-sign&quot;, &quot;iconColor&quot;: &quot;white&quot;, &quot;markerColor&quot;: &quot;blue&quot;, &quot;prefix&quot;: &quot;glyphicon&quot;}\n",
              "            );\n",
              "            marker_e8cdf92d2b0883d8b1d91a923bc185e8.setIcon(icon_3137473608b2ec4c7507f0c1d4f636dd);\n",
              "        \n",
              "    \n",
              "        var popup_bcd8aa712c13f4d8270e1a14edf642cf = L.popup({&quot;maxWidth&quot;: &quot;100%&quot;});\n",
              "\n",
              "        \n",
              "            \n",
              "                var html_5740d4ceb3c016cfb19b977f0a1c6974 = $(`&lt;div id=&quot;html_5740d4ceb3c016cfb19b977f0a1c6974&quot; style=&quot;width: 100.0%; height: 100.0%;&quot;&gt;Lo Espejo: 5 casas&lt;/div&gt;`)[0];\n",
              "                popup_bcd8aa712c13f4d8270e1a14edf642cf.setContent(html_5740d4ceb3c016cfb19b977f0a1c6974);\n",
              "            \n",
              "        \n",
              "\n",
              "        marker_e8cdf92d2b0883d8b1d91a923bc185e8.bindPopup(popup_bcd8aa712c13f4d8270e1a14edf642cf)\n",
              "        ;\n",
              "\n",
              "        \n",
              "    \n",
              "    \n",
              "            var marker_042c81b922179a9f249592682dd71bbb = L.marker(\n",
              "                [-33.445, -70.7258],\n",
              "                {}\n",
              "            ).addTo(map_63f98a1366d1c7a1924889b3bc88947d);\n",
              "        \n",
              "    \n",
              "            var icon_599f8353e31f13ef7e13e3fe50c0abb6 = L.AwesomeMarkers.icon(\n",
              "                {&quot;extraClasses&quot;: &quot;fa-rotate-0&quot;, &quot;icon&quot;: &quot;info-sign&quot;, &quot;iconColor&quot;: &quot;white&quot;, &quot;markerColor&quot;: &quot;blue&quot;, &quot;prefix&quot;: &quot;glyphicon&quot;}\n",
              "            );\n",
              "            marker_042c81b922179a9f249592682dd71bbb.setIcon(icon_599f8353e31f13ef7e13e3fe50c0abb6);\n",
              "        \n",
              "    \n",
              "        var popup_40824600510d64b4edf911938072b901 = L.popup({&quot;maxWidth&quot;: &quot;100%&quot;});\n",
              "\n",
              "        \n",
              "            \n",
              "                var html_cede48b52004740de23a0c7ecdf6f3c5 = $(`&lt;div id=&quot;html_cede48b52004740de23a0c7ecdf6f3c5&quot; style=&quot;width: 100.0%; height: 100.0%;&quot;&gt;Lo Prado: 8 casas&lt;/div&gt;`)[0];\n",
              "                popup_40824600510d64b4edf911938072b901.setContent(html_cede48b52004740de23a0c7ecdf6f3c5);\n",
              "            \n",
              "        \n",
              "\n",
              "        marker_042c81b922179a9f249592682dd71bbb.bindPopup(popup_40824600510d64b4edf911938072b901)\n",
              "        ;\n",
              "\n",
              "        \n",
              "    \n",
              "    \n",
              "            var marker_ce1fe4647b53344b99f5020da0d60f18 = L.marker(\n",
              "                [-33.4869, -70.6039],\n",
              "                {}\n",
              "            ).addTo(map_63f98a1366d1c7a1924889b3bc88947d);\n",
              "        \n",
              "    \n",
              "            var icon_a74dd6a772e6eff9bb441eb9291bf42e = L.AwesomeMarkers.icon(\n",
              "                {&quot;extraClasses&quot;: &quot;fa-rotate-0&quot;, &quot;icon&quot;: &quot;info-sign&quot;, &quot;iconColor&quot;: &quot;white&quot;, &quot;markerColor&quot;: &quot;blue&quot;, &quot;prefix&quot;: &quot;glyphicon&quot;}\n",
              "            );\n",
              "            marker_ce1fe4647b53344b99f5020da0d60f18.setIcon(icon_a74dd6a772e6eff9bb441eb9291bf42e);\n",
              "        \n",
              "    \n",
              "        var popup_920864ae4783c73d83a0a0e45bc2ec9b = L.popup({&quot;maxWidth&quot;: &quot;100%&quot;});\n",
              "\n",
              "        \n",
              "            \n",
              "                var html_3ac574ffd9086a048ef952d66e9dbdb9 = $(`&lt;div id=&quot;html_3ac574ffd9086a048ef952d66e9dbdb9&quot; style=&quot;width: 100.0%; height: 100.0%;&quot;&gt;Macul: 39 casas&lt;/div&gt;`)[0];\n",
              "                popup_920864ae4783c73d83a0a0e45bc2ec9b.setContent(html_3ac574ffd9086a048ef952d66e9dbdb9);\n",
              "            \n",
              "        \n",
              "\n",
              "        marker_ce1fe4647b53344b99f5020da0d60f18.bindPopup(popup_920864ae4783c73d83a0a0e45bc2ec9b)\n",
              "        ;\n",
              "\n",
              "        \n",
              "    \n",
              "    \n",
              "            var marker_7f1acdd70efc8a05c9cbe0d347162422 = L.marker(\n",
              "                [-33.5167, -70.7667],\n",
              "                {}\n",
              "            ).addTo(map_63f98a1366d1c7a1924889b3bc88947d);\n",
              "        \n",
              "    \n",
              "            var icon_de000c929304767ccac3feb020ed3fd1 = L.AwesomeMarkers.icon(\n",
              "                {&quot;extraClasses&quot;: &quot;fa-rotate-0&quot;, &quot;icon&quot;: &quot;info-sign&quot;, &quot;iconColor&quot;: &quot;white&quot;, &quot;markerColor&quot;: &quot;blue&quot;, &quot;prefix&quot;: &quot;glyphicon&quot;}\n",
              "            );\n",
              "            marker_7f1acdd70efc8a05c9cbe0d347162422.setIcon(icon_de000c929304767ccac3feb020ed3fd1);\n",
              "        \n",
              "    \n",
              "        var popup_c93fb935e525979c94796d7db249c480 = L.popup({&quot;maxWidth&quot;: &quot;100%&quot;});\n",
              "\n",
              "        \n",
              "            \n",
              "                var html_3607eb23310a88007115e7e9c14043e6 = $(`&lt;div id=&quot;html_3607eb23310a88007115e7e9c14043e6&quot; style=&quot;width: 100.0%; height: 100.0%;&quot;&gt;Maipú: 38 casas&lt;/div&gt;`)[0];\n",
              "                popup_c93fb935e525979c94796d7db249c480.setContent(html_3607eb23310a88007115e7e9c14043e6);\n",
              "            \n",
              "        \n",
              "\n",
              "        marker_7f1acdd70efc8a05c9cbe0d347162422.bindPopup(popup_c93fb935e525979c94796d7db249c480)\n",
              "        ;\n",
              "\n",
              "        \n",
              "    \n",
              "    \n",
              "            var marker_988b20de355fcd57f2272ad1fb1ca005 = L.marker(\n",
              "                [-33.5667, -70.8333],\n",
              "                {}\n",
              "            ).addTo(map_63f98a1366d1c7a1924889b3bc88947d);\n",
              "        \n",
              "    \n",
              "            var icon_0c189bf8735e7ae8ebab7caebd5948ff = L.AwesomeMarkers.icon(\n",
              "                {&quot;extraClasses&quot;: &quot;fa-rotate-0&quot;, &quot;icon&quot;: &quot;info-sign&quot;, &quot;iconColor&quot;: &quot;white&quot;, &quot;markerColor&quot;: &quot;blue&quot;, &quot;prefix&quot;: &quot;glyphicon&quot;}\n",
              "            );\n",
              "            marker_988b20de355fcd57f2272ad1fb1ca005.setIcon(icon_0c189bf8735e7ae8ebab7caebd5948ff);\n",
              "        \n",
              "    \n",
              "        var popup_4c00489d443687519e9547feb70cf65a = L.popup({&quot;maxWidth&quot;: &quot;100%&quot;});\n",
              "\n",
              "        \n",
              "            \n",
              "                var html_248e4497cf7a3acd5ba8247ae1931ef8 = $(`&lt;div id=&quot;html_248e4497cf7a3acd5ba8247ae1931ef8&quot; style=&quot;width: 100.0%; height: 100.0%;&quot;&gt;Padre Hurtado: 13 casas&lt;/div&gt;`)[0];\n",
              "                popup_4c00489d443687519e9547feb70cf65a.setContent(html_248e4497cf7a3acd5ba8247ae1931ef8);\n",
              "            \n",
              "        \n",
              "\n",
              "        marker_988b20de355fcd57f2272ad1fb1ca005.bindPopup(popup_4c00489d443687519e9547feb70cf65a)\n",
              "        ;\n",
              "\n",
              "        \n",
              "    \n",
              "    \n",
              "            var marker_05792056b7eaf638b97e27d0c25631c0 = L.marker(\n",
              "                [-33.4661, -70.6336],\n",
              "                {}\n",
              "            ).addTo(map_63f98a1366d1c7a1924889b3bc88947d);\n",
              "        \n",
              "    \n",
              "            var icon_5acc22444b3df23f88d4d877e7c3a9f9 = L.AwesomeMarkers.icon(\n",
              "                {&quot;extraClasses&quot;: &quot;fa-rotate-0&quot;, &quot;icon&quot;: &quot;info-sign&quot;, &quot;iconColor&quot;: &quot;white&quot;, &quot;markerColor&quot;: &quot;blue&quot;, &quot;prefix&quot;: &quot;glyphicon&quot;}\n",
              "            );\n",
              "            marker_05792056b7eaf638b97e27d0c25631c0.setIcon(icon_5acc22444b3df23f88d4d877e7c3a9f9);\n",
              "        \n",
              "    \n",
              "        var popup_2619ac86a11855ed2ccc83002e3a3407 = L.popup({&quot;maxWidth&quot;: &quot;100%&quot;});\n",
              "\n",
              "        \n",
              "            \n",
              "                var html_fb23af8156ba08292bf120a56a489562 = $(`&lt;div id=&quot;html_fb23af8156ba08292bf120a56a489562&quot; style=&quot;width: 100.0%; height: 100.0%;&quot;&gt;Pedro Aguirre Cerda: 11 casas&lt;/div&gt;`)[0];\n",
              "                popup_2619ac86a11855ed2ccc83002e3a3407.setContent(html_fb23af8156ba08292bf120a56a489562);\n",
              "            \n",
              "        \n",
              "\n",
              "        marker_05792056b7eaf638b97e27d0c25631c0.bindPopup(popup_2619ac86a11855ed2ccc83002e3a3407)\n",
              "        ;\n",
              "\n",
              "        \n",
              "    \n",
              "    \n",
              "            var marker_47c045024e2ce6a8bd11f8b80499c438 = L.marker(\n",
              "                [-33.6061, -70.8764],\n",
              "                {}\n",
              "            ).addTo(map_63f98a1366d1c7a1924889b3bc88947d);\n",
              "        \n",
              "    \n",
              "            var icon_1f401b5a027304d0380af4b348f85d2c = L.AwesomeMarkers.icon(\n",
              "                {&quot;extraClasses&quot;: &quot;fa-rotate-0&quot;, &quot;icon&quot;: &quot;info-sign&quot;, &quot;iconColor&quot;: &quot;white&quot;, &quot;markerColor&quot;: &quot;blue&quot;, &quot;prefix&quot;: &quot;glyphicon&quot;}\n",
              "            );\n",
              "            marker_47c045024e2ce6a8bd11f8b80499c438.setIcon(icon_1f401b5a027304d0380af4b348f85d2c);\n",
              "        \n",
              "    \n",
              "        var popup_b162fb04fdec097f86db2e87e4aed2f0 = L.popup({&quot;maxWidth&quot;: &quot;100%&quot;});\n",
              "\n",
              "        \n",
              "            \n",
              "                var html_23ee9b91b86db461049293109e115b88 = $(`&lt;div id=&quot;html_23ee9b91b86db461049293109e115b88&quot; style=&quot;width: 100.0%; height: 100.0%;&quot;&gt;Peñaflor: 16 casas&lt;/div&gt;`)[0];\n",
              "                popup_b162fb04fdec097f86db2e87e4aed2f0.setContent(html_23ee9b91b86db461049293109e115b88);\n",
              "            \n",
              "        \n",
              "\n",
              "        marker_47c045024e2ce6a8bd11f8b80499c438.bindPopup(popup_b162fb04fdec097f86db2e87e4aed2f0)\n",
              "        ;\n",
              "\n",
              "        \n",
              "    \n",
              "    \n",
              "            var marker_ac2cdf5ac8bf6a6a2deb3a632ee2ac3e = L.marker(\n",
              "                [-33.4861, -70.5333],\n",
              "                {}\n",
              "            ).addTo(map_63f98a1366d1c7a1924889b3bc88947d);\n",
              "        \n",
              "    \n",
              "            var icon_acd47905ce871a479e78bd455ff6c936 = L.AwesomeMarkers.icon(\n",
              "                {&quot;extraClasses&quot;: &quot;fa-rotate-0&quot;, &quot;icon&quot;: &quot;info-sign&quot;, &quot;iconColor&quot;: &quot;white&quot;, &quot;markerColor&quot;: &quot;blue&quot;, &quot;prefix&quot;: &quot;glyphicon&quot;}\n",
              "            );\n",
              "            marker_ac2cdf5ac8bf6a6a2deb3a632ee2ac3e.setIcon(icon_acd47905ce871a479e78bd455ff6c936);\n",
              "        \n",
              "    \n",
              "        var popup_80615b3ee89341832f0a1c78904d40bd = L.popup({&quot;maxWidth&quot;: &quot;100%&quot;});\n",
              "\n",
              "        \n",
              "            \n",
              "                var html_fb4855f30346447e0de6c05098c889ac = $(`&lt;div id=&quot;html_fb4855f30346447e0de6c05098c889ac&quot; style=&quot;width: 100.0%; height: 100.0%;&quot;&gt;Peñalolén: 44 casas&lt;/div&gt;`)[0];\n",
              "                popup_80615b3ee89341832f0a1c78904d40bd.setContent(html_fb4855f30346447e0de6c05098c889ac);\n",
              "            \n",
              "        \n",
              "\n",
              "        marker_ac2cdf5ac8bf6a6a2deb3a632ee2ac3e.bindPopup(popup_80615b3ee89341832f0a1c78904d40bd)\n",
              "        ;\n",
              "\n",
              "        \n",
              "    \n",
              "    \n",
              "            var marker_338a8616962ba15f8aa7318dfffbeb6d = L.marker(\n",
              "                [-33.435, -70.6158],\n",
              "                {}\n",
              "            ).addTo(map_63f98a1366d1c7a1924889b3bc88947d);\n",
              "        \n",
              "    \n",
              "            var icon_7a61233650dab41e4c7cf0e0a42c2114 = L.AwesomeMarkers.icon(\n",
              "                {&quot;extraClasses&quot;: &quot;fa-rotate-0&quot;, &quot;icon&quot;: &quot;info-sign&quot;, &quot;iconColor&quot;: &quot;white&quot;, &quot;markerColor&quot;: &quot;blue&quot;, &quot;prefix&quot;: &quot;glyphicon&quot;}\n",
              "            );\n",
              "            marker_338a8616962ba15f8aa7318dfffbeb6d.setIcon(icon_7a61233650dab41e4c7cf0e0a42c2114);\n",
              "        \n",
              "    \n",
              "        var popup_c7c8b7aa73eb41bba8c2f521523772d7 = L.popup({&quot;maxWidth&quot;: &quot;100%&quot;});\n",
              "\n",
              "        \n",
              "            \n",
              "                var html_2c6f893dafac0383b0498ed4a708c88f = $(`&lt;div id=&quot;html_2c6f893dafac0383b0498ed4a708c88f&quot; style=&quot;width: 100.0%; height: 100.0%;&quot;&gt;Providencia: 47 casas&lt;/div&gt;`)[0];\n",
              "                popup_c7c8b7aa73eb41bba8c2f521523772d7.setContent(html_2c6f893dafac0383b0498ed4a708c88f);\n",
              "            \n",
              "        \n",
              "\n",
              "        marker_338a8616962ba15f8aa7318dfffbeb6d.bindPopup(popup_c7c8b7aa73eb41bba8c2f521523772d7)\n",
              "        ;\n",
              "\n",
              "        \n",
              "    \n",
              "    \n",
              "            var marker_3576ab6edcccedb5fdeda94db7c74070 = L.marker(\n",
              "                [-33.4333, -70.7167],\n",
              "                {}\n",
              "            ).addTo(map_63f98a1366d1c7a1924889b3bc88947d);\n",
              "        \n",
              "    \n",
              "            var icon_056141d36d7e26fd8fde0c59814aec1e = L.AwesomeMarkers.icon(\n",
              "                {&quot;extraClasses&quot;: &quot;fa-rotate-0&quot;, &quot;icon&quot;: &quot;info-sign&quot;, &quot;iconColor&quot;: &quot;white&quot;, &quot;markerColor&quot;: &quot;blue&quot;, &quot;prefix&quot;: &quot;glyphicon&quot;}\n",
              "            );\n",
              "            marker_3576ab6edcccedb5fdeda94db7c74070.setIcon(icon_056141d36d7e26fd8fde0c59814aec1e);\n",
              "        \n",
              "    \n",
              "        var popup_4ed049bddf7a489d78cac81949290ed0 = L.popup({&quot;maxWidth&quot;: &quot;100%&quot;});\n",
              "\n",
              "        \n",
              "            \n",
              "                var html_d8886a470400c12f597e9880c156d78d = $(`&lt;div id=&quot;html_d8886a470400c12f597e9880c156d78d&quot; style=&quot;width: 100.0%; height: 100.0%;&quot;&gt;Pudahuel: 45 casas&lt;/div&gt;`)[0];\n",
              "                popup_4ed049bddf7a489d78cac81949290ed0.setContent(html_d8886a470400c12f597e9880c156d78d);\n",
              "            \n",
              "        \n",
              "\n",
              "        marker_3576ab6edcccedb5fdeda94db7c74070.bindPopup(popup_4ed049bddf7a489d78cac81949290ed0)\n",
              "        ;\n",
              "\n",
              "        \n",
              "    \n",
              "    \n",
              "            var marker_e69e7229f67149950c97e7da4be3370d = L.marker(\n",
              "                [-33.6158, -70.57],\n",
              "                {}\n",
              "            ).addTo(map_63f98a1366d1c7a1924889b3bc88947d);\n",
              "        \n",
              "    \n",
              "            var icon_fc67d5184b115b780ed189cdd13280a3 = L.AwesomeMarkers.icon(\n",
              "                {&quot;extraClasses&quot;: &quot;fa-rotate-0&quot;, &quot;icon&quot;: &quot;info-sign&quot;, &quot;iconColor&quot;: &quot;white&quot;, &quot;markerColor&quot;: &quot;blue&quot;, &quot;prefix&quot;: &quot;glyphicon&quot;}\n",
              "            );\n",
              "            marker_e69e7229f67149950c97e7da4be3370d.setIcon(icon_fc67d5184b115b780ed189cdd13280a3);\n",
              "        \n",
              "    \n",
              "        var popup_34639c2e71c0c87b2bde5a4a770d1116 = L.popup({&quot;maxWidth&quot;: &quot;100%&quot;});\n",
              "\n",
              "        \n",
              "            \n",
              "                var html_fb20bf4ff34c81362806c028698264bf = $(`&lt;div id=&quot;html_fb20bf4ff34c81362806c028698264bf&quot; style=&quot;width: 100.0%; height: 100.0%;&quot;&gt;Puente Alto: 40 casas&lt;/div&gt;`)[0];\n",
              "                popup_34639c2e71c0c87b2bde5a4a770d1116.setContent(html_fb20bf4ff34c81362806c028698264bf);\n",
              "            \n",
              "        \n",
              "\n",
              "        marker_e69e7229f67149950c97e7da4be3370d.bindPopup(popup_34639c2e71c0c87b2bde5a4a770d1116)\n",
              "        ;\n",
              "\n",
              "        \n",
              "    \n",
              "    \n",
              "            var marker_61d8bd0cf71b9b4c80b97705784edccb = L.marker(\n",
              "                [-33.3608, -70.7289],\n",
              "                {}\n",
              "            ).addTo(map_63f98a1366d1c7a1924889b3bc88947d);\n",
              "        \n",
              "    \n",
              "            var icon_ae527e0bbb922f2029479d21c4d2278d = L.AwesomeMarkers.icon(\n",
              "                {&quot;extraClasses&quot;: &quot;fa-rotate-0&quot;, &quot;icon&quot;: &quot;info-sign&quot;, &quot;iconColor&quot;: &quot;white&quot;, &quot;markerColor&quot;: &quot;blue&quot;, &quot;prefix&quot;: &quot;glyphicon&quot;}\n",
              "            );\n",
              "            marker_61d8bd0cf71b9b4c80b97705784edccb.setIcon(icon_ae527e0bbb922f2029479d21c4d2278d);\n",
              "        \n",
              "    \n",
              "        var popup_22fe5925bb78a45e399332e40d99d425 = L.popup({&quot;maxWidth&quot;: &quot;100%&quot;});\n",
              "\n",
              "        \n",
              "            \n",
              "                var html_f3870e945c861abe711a4a326c7e7371 = $(`&lt;div id=&quot;html_f3870e945c861abe711a4a326c7e7371&quot; style=&quot;width: 100.0%; height: 100.0%;&quot;&gt;Quilicura: 44 casas&lt;/div&gt;`)[0];\n",
              "                popup_22fe5925bb78a45e399332e40d99d425.setContent(html_f3870e945c861abe711a4a326c7e7371);\n",
              "            \n",
              "        \n",
              "\n",
              "        marker_61d8bd0cf71b9b4c80b97705784edccb.bindPopup(popup_22fe5925bb78a45e399332e40d99d425)\n",
              "        ;\n",
              "\n",
              "        \n",
              "    \n",
              "    \n",
              "            var marker_1bd53478efcec399100d9ea96c8593c4 = L.marker(\n",
              "                [-33.4269, -70.6989],\n",
              "                {}\n",
              "            ).addTo(map_63f98a1366d1c7a1924889b3bc88947d);\n",
              "        \n",
              "    \n",
              "            var icon_8e98f2fb4557a3129a4e62e822c48baa = L.AwesomeMarkers.icon(\n",
              "                {&quot;extraClasses&quot;: &quot;fa-rotate-0&quot;, &quot;icon&quot;: &quot;info-sign&quot;, &quot;iconColor&quot;: &quot;white&quot;, &quot;markerColor&quot;: &quot;blue&quot;, &quot;prefix&quot;: &quot;glyphicon&quot;}\n",
              "            );\n",
              "            marker_1bd53478efcec399100d9ea96c8593c4.setIcon(icon_8e98f2fb4557a3129a4e62e822c48baa);\n",
              "        \n",
              "    \n",
              "        var popup_8a15b30f12f6a0210e3566e87b24d32b = L.popup({&quot;maxWidth&quot;: &quot;100%&quot;});\n",
              "\n",
              "        \n",
              "            \n",
              "                var html_7c7bb05c57df7253602cd21e6b901ed9 = $(`&lt;div id=&quot;html_7c7bb05c57df7253602cd21e6b901ed9&quot; style=&quot;width: 100.0%; height: 100.0%;&quot;&gt;Quinta Normal: 9 casas&lt;/div&gt;`)[0];\n",
              "                popup_8a15b30f12f6a0210e3566e87b24d32b.setContent(html_7c7bb05c57df7253602cd21e6b901ed9);\n",
              "            \n",
              "        \n",
              "\n",
              "        marker_1bd53478efcec399100d9ea96c8593c4.bindPopup(popup_8a15b30f12f6a0210e3566e87b24d32b)\n",
              "        ;\n",
              "\n",
              "        \n",
              "    \n",
              "    \n",
              "            var marker_0bddd0a4287b119b0fe7b4ff124aef56 = L.marker(\n",
              "                [-33.4058, -70.64],\n",
              "                {}\n",
              "            ).addTo(map_63f98a1366d1c7a1924889b3bc88947d);\n",
              "        \n",
              "    \n",
              "            var icon_a742c7a1a90ff2c51df3de8fd4c3fd4e = L.AwesomeMarkers.icon(\n",
              "                {&quot;extraClasses&quot;: &quot;fa-rotate-0&quot;, &quot;icon&quot;: &quot;info-sign&quot;, &quot;iconColor&quot;: &quot;white&quot;, &quot;markerColor&quot;: &quot;blue&quot;, &quot;prefix&quot;: &quot;glyphicon&quot;}\n",
              "            );\n",
              "            marker_0bddd0a4287b119b0fe7b4ff124aef56.setIcon(icon_a742c7a1a90ff2c51df3de8fd4c3fd4e);\n",
              "        \n",
              "    \n",
              "        var popup_dc5d69ac90c398bf4bffebd4dfa6ba3a = L.popup({&quot;maxWidth&quot;: &quot;100%&quot;});\n",
              "\n",
              "        \n",
              "            \n",
              "                var html_1705c287a8e2d85e2af1a231f423727f = $(`&lt;div id=&quot;html_1705c287a8e2d85e2af1a231f423727f&quot; style=&quot;width: 100.0%; height: 100.0%;&quot;&gt;Recoleta: 19 casas&lt;/div&gt;`)[0];\n",
              "                popup_dc5d69ac90c398bf4bffebd4dfa6ba3a.setContent(html_1705c287a8e2d85e2af1a231f423727f);\n",
              "            \n",
              "        \n",
              "\n",
              "        marker_0bddd0a4287b119b0fe7b4ff124aef56.bindPopup(popup_dc5d69ac90c398bf4bffebd4dfa6ba3a)\n",
              "        ;\n",
              "\n",
              "        \n",
              "    \n",
              "    \n",
              "            var marker_fccccae231636381fc1c0e2de7a22285 = L.marker(\n",
              "                [-33.3978, -70.7228],\n",
              "                {}\n",
              "            ).addTo(map_63f98a1366d1c7a1924889b3bc88947d);\n",
              "        \n",
              "    \n",
              "            var icon_cf4d50b69876da8154278776ca19c24c = L.AwesomeMarkers.icon(\n",
              "                {&quot;extraClasses&quot;: &quot;fa-rotate-0&quot;, &quot;icon&quot;: &quot;info-sign&quot;, &quot;iconColor&quot;: &quot;white&quot;, &quot;markerColor&quot;: &quot;blue&quot;, &quot;prefix&quot;: &quot;glyphicon&quot;}\n",
              "            );\n",
              "            marker_fccccae231636381fc1c0e2de7a22285.setIcon(icon_cf4d50b69876da8154278776ca19c24c);\n",
              "        \n",
              "    \n",
              "        var popup_bfa5f20e07a919fa746763749dec76a2 = L.popup({&quot;maxWidth&quot;: &quot;100%&quot;});\n",
              "\n",
              "        \n",
              "            \n",
              "                var html_1ebb7b0d11708c316a2901cc7524bb0c = $(`&lt;div id=&quot;html_1ebb7b0d11708c316a2901cc7524bb0c&quot; style=&quot;width: 100.0%; height: 100.0%;&quot;&gt;Renca: 8 casas&lt;/div&gt;`)[0];\n",
              "                popup_bfa5f20e07a919fa746763749dec76a2.setContent(html_1ebb7b0d11708c316a2901cc7524bb0c);\n",
              "            \n",
              "        \n",
              "\n",
              "        marker_fccccae231636381fc1c0e2de7a22285.bindPopup(popup_bfa5f20e07a919fa746763749dec76a2)\n",
              "        ;\n",
              "\n",
              "        \n",
              "    \n",
              "    \n",
              "            var marker_1fbeb507b23bf8064069e69f984c441b = L.marker(\n",
              "                [-33.5819, -70.6869],\n",
              "                {}\n",
              "            ).addTo(map_63f98a1366d1c7a1924889b3bc88947d);\n",
              "        \n",
              "    \n",
              "            var icon_7565056fc406fcfa33eae9feaebdba34 = L.AwesomeMarkers.icon(\n",
              "                {&quot;extraClasses&quot;: &quot;fa-rotate-0&quot;, &quot;icon&quot;: &quot;info-sign&quot;, &quot;iconColor&quot;: &quot;white&quot;, &quot;markerColor&quot;: &quot;blue&quot;, &quot;prefix&quot;: &quot;glyphicon&quot;}\n",
              "            );\n",
              "            marker_1fbeb507b23bf8064069e69f984c441b.setIcon(icon_7565056fc406fcfa33eae9feaebdba34);\n",
              "        \n",
              "    \n",
              "        var popup_fd81c06f67b1c3542f6958af61d91b60 = L.popup({&quot;maxWidth&quot;: &quot;100%&quot;});\n",
              "\n",
              "        \n",
              "            \n",
              "                var html_4b65b15b1a1092d4a1a900ebdddc6567 = $(`&lt;div id=&quot;html_4b65b15b1a1092d4a1a900ebdddc6567&quot; style=&quot;width: 100.0%; height: 100.0%;&quot;&gt;San Bernardo: 34 casas&lt;/div&gt;`)[0];\n",
              "                popup_fd81c06f67b1c3542f6958af61d91b60.setContent(html_4b65b15b1a1092d4a1a900ebdddc6567);\n",
              "            \n",
              "        \n",
              "\n",
              "        marker_1fbeb507b23bf8064069e69f984c441b.bindPopup(popup_fd81c06f67b1c3542f6958af61d91b60)\n",
              "        ;\n",
              "\n",
              "        \n",
              "    \n",
              "    \n",
              "            var marker_d78d8af5c3b7a760eccbc38ddbded10c = L.marker(\n",
              "                [-33.4908, -70.6278],\n",
              "                {}\n",
              "            ).addTo(map_63f98a1366d1c7a1924889b3bc88947d);\n",
              "        \n",
              "    \n",
              "            var icon_090d8d938a7938931443d96ec158687b = L.AwesomeMarkers.icon(\n",
              "                {&quot;extraClasses&quot;: &quot;fa-rotate-0&quot;, &quot;icon&quot;: &quot;info-sign&quot;, &quot;iconColor&quot;: &quot;white&quot;, &quot;markerColor&quot;: &quot;blue&quot;, &quot;prefix&quot;: &quot;glyphicon&quot;}\n",
              "            );\n",
              "            marker_d78d8af5c3b7a760eccbc38ddbded10c.setIcon(icon_090d8d938a7938931443d96ec158687b);\n",
              "        \n",
              "    \n",
              "        var popup_2f6da524fb583601feafbe8806c64625 = L.popup({&quot;maxWidth&quot;: &quot;100%&quot;});\n",
              "\n",
              "        \n",
              "            \n",
              "                var html_c9d413739d969abd6ec19fbcc10c746d = $(`&lt;div id=&quot;html_c9d413739d969abd6ec19fbcc10c746d&quot; style=&quot;width: 100.0%; height: 100.0%;&quot;&gt;San Joaquín: 9 casas&lt;/div&gt;`)[0];\n",
              "                popup_2f6da524fb583601feafbe8806c64625.setContent(html_c9d413739d969abd6ec19fbcc10c746d);\n",
              "            \n",
              "        \n",
              "\n",
              "        marker_d78d8af5c3b7a760eccbc38ddbded10c.bindPopup(popup_2f6da524fb583601feafbe8806c64625)\n",
              "        ;\n",
              "\n",
              "        \n",
              "    \n",
              "    \n",
              "            var marker_dc7b507f5621c658e3d2eb2ee6f3aa50 = L.marker(\n",
              "                [-33.6439, -70.3528],\n",
              "                {}\n",
              "            ).addTo(map_63f98a1366d1c7a1924889b3bc88947d);\n",
              "        \n",
              "    \n",
              "            var icon_bcf56b71577f119ff30df0a05e7d5995 = L.AwesomeMarkers.icon(\n",
              "                {&quot;extraClasses&quot;: &quot;fa-rotate-0&quot;, &quot;icon&quot;: &quot;info-sign&quot;, &quot;iconColor&quot;: &quot;white&quot;, &quot;markerColor&quot;: &quot;blue&quot;, &quot;prefix&quot;: &quot;glyphicon&quot;}\n",
              "            );\n",
              "            marker_dc7b507f5621c658e3d2eb2ee6f3aa50.setIcon(icon_bcf56b71577f119ff30df0a05e7d5995);\n",
              "        \n",
              "    \n",
              "        var popup_d352d4bc026fbcdc8a61689447a0bb4b = L.popup({&quot;maxWidth&quot;: &quot;100%&quot;});\n",
              "\n",
              "        \n",
              "            \n",
              "                var html_0a5ba52a26e3a859cba6b792a12dfcb1 = $(`&lt;div id=&quot;html_0a5ba52a26e3a859cba6b792a12dfcb1&quot; style=&quot;width: 100.0%; height: 100.0%;&quot;&gt;San José de Maipo: 2 casas&lt;/div&gt;`)[0];\n",
              "                popup_d352d4bc026fbcdc8a61689447a0bb4b.setContent(html_0a5ba52a26e3a859cba6b792a12dfcb1);\n",
              "            \n",
              "        \n",
              "\n",
              "        marker_dc7b507f5621c658e3d2eb2ee6f3aa50.bindPopup(popup_d352d4bc026fbcdc8a61689447a0bb4b)\n",
              "        ;\n",
              "\n",
              "        \n",
              "    \n",
              "    \n",
              "            var marker_1bdb4ee3574aaef4b31bb81b6583e08d = L.marker(\n",
              "                [-33.4858, -70.6494],\n",
              "                {}\n",
              "            ).addTo(map_63f98a1366d1c7a1924889b3bc88947d);\n",
              "        \n",
              "    \n",
              "            var icon_2d440596b29d8998a19f5c86e73e9653 = L.AwesomeMarkers.icon(\n",
              "                {&quot;extraClasses&quot;: &quot;fa-rotate-0&quot;, &quot;icon&quot;: &quot;info-sign&quot;, &quot;iconColor&quot;: &quot;white&quot;, &quot;markerColor&quot;: &quot;blue&quot;, &quot;prefix&quot;: &quot;glyphicon&quot;}\n",
              "            );\n",
              "            marker_1bdb4ee3574aaef4b31bb81b6583e08d.setIcon(icon_2d440596b29d8998a19f5c86e73e9653);\n",
              "        \n",
              "    \n",
              "        var popup_3ca0a16f1d87b4249480e0aedaac4d8a = L.popup({&quot;maxWidth&quot;: &quot;100%&quot;});\n",
              "\n",
              "        \n",
              "            \n",
              "                var html_d2a599eb3854d9eda10085bc486bf12e = $(`&lt;div id=&quot;html_d2a599eb3854d9eda10085bc486bf12e&quot; style=&quot;width: 100.0%; height: 100.0%;&quot;&gt;San Miguel: 30 casas&lt;/div&gt;`)[0];\n",
              "                popup_3ca0a16f1d87b4249480e0aedaac4d8a.setContent(html_d2a599eb3854d9eda10085bc486bf12e);\n",
              "            \n",
              "        \n",
              "\n",
              "        marker_1bdb4ee3574aaef4b31bb81b6583e08d.bindPopup(popup_3ca0a16f1d87b4249480e0aedaac4d8a)\n",
              "        ;\n",
              "\n",
              "        \n",
              "    \n",
              "    \n",
              "            var marker_d7c22c6853087a0f0874f5fcc4724239 = L.marker(\n",
              "                [-33.5428, -70.6439],\n",
              "                {}\n",
              "            ).addTo(map_63f98a1366d1c7a1924889b3bc88947d);\n",
              "        \n",
              "    \n",
              "            var icon_2dc416d784cfd9bddf6ad1108a8eced1 = L.AwesomeMarkers.icon(\n",
              "                {&quot;extraClasses&quot;: &quot;fa-rotate-0&quot;, &quot;icon&quot;: &quot;info-sign&quot;, &quot;iconColor&quot;: &quot;white&quot;, &quot;markerColor&quot;: &quot;blue&quot;, &quot;prefix&quot;: &quot;glyphicon&quot;}\n",
              "            );\n",
              "            marker_d7c22c6853087a0f0874f5fcc4724239.setIcon(icon_2dc416d784cfd9bddf6ad1108a8eced1);\n",
              "        \n",
              "    \n",
              "        var popup_b2034824aaad502cd8317f3c5b852cc8 = L.popup({&quot;maxWidth&quot;: &quot;100%&quot;});\n",
              "\n",
              "        \n",
              "            \n",
              "                var html_7882155ba2d916a85cf6a00061655471 = $(`&lt;div id=&quot;html_7882155ba2d916a85cf6a00061655471&quot; style=&quot;width: 100.0%; height: 100.0%;&quot;&gt;San Ramón: 4 casas&lt;/div&gt;`)[0];\n",
              "                popup_b2034824aaad502cd8317f3c5b852cc8.setContent(html_7882155ba2d916a85cf6a00061655471);\n",
              "            \n",
              "        \n",
              "\n",
              "        marker_d7c22c6853087a0f0874f5fcc4724239.bindPopup(popup_b2034824aaad502cd8317f3c5b852cc8)\n",
              "        ;\n",
              "\n",
              "        \n",
              "    \n",
              "    \n",
              "            var marker_66de2e700d1e0b85c9e1e88e65f6610c = L.marker(\n",
              "                [-33.4372, -70.6572],\n",
              "                {}\n",
              "            ).addTo(map_63f98a1366d1c7a1924889b3bc88947d);\n",
              "        \n",
              "    \n",
              "            var icon_0f513e57c079e4d76a8e1c611570d0e5 = L.AwesomeMarkers.icon(\n",
              "                {&quot;extraClasses&quot;: &quot;fa-rotate-0&quot;, &quot;icon&quot;: &quot;info-sign&quot;, &quot;iconColor&quot;: &quot;white&quot;, &quot;markerColor&quot;: &quot;blue&quot;, &quot;prefix&quot;: &quot;glyphicon&quot;}\n",
              "            );\n",
              "            marker_66de2e700d1e0b85c9e1e88e65f6610c.setIcon(icon_0f513e57c079e4d76a8e1c611570d0e5);\n",
              "        \n",
              "    \n",
              "        var popup_d8146c1d59f5ccda0f19478d6e62ab80 = L.popup({&quot;maxWidth&quot;: &quot;100%&quot;});\n",
              "\n",
              "        \n",
              "            \n",
              "                var html_0653896afb4b7df81a15b6baf6d3d417 = $(`&lt;div id=&quot;html_0653896afb4b7df81a15b6baf6d3d417&quot; style=&quot;width: 100.0%; height: 100.0%;&quot;&gt;Santiago: 33 casas&lt;/div&gt;`)[0];\n",
              "                popup_d8146c1d59f5ccda0f19478d6e62ab80.setContent(html_0653896afb4b7df81a15b6baf6d3d417);\n",
              "            \n",
              "        \n",
              "\n",
              "        marker_66de2e700d1e0b85c9e1e88e65f6610c.bindPopup(popup_d8146c1d59f5ccda0f19478d6e62ab80)\n",
              "        ;\n",
              "\n",
              "        \n",
              "    \n",
              "    \n",
              "            var marker_37062839154e59d8689e70b80cf07a5a = L.marker(\n",
              "                [-33.4, -70.6],\n",
              "                {}\n",
              "            ).addTo(map_63f98a1366d1c7a1924889b3bc88947d);\n",
              "        \n",
              "    \n",
              "            var icon_81cb23eea0ed552a9c67b30edda74e8b = L.AwesomeMarkers.icon(\n",
              "                {&quot;extraClasses&quot;: &quot;fa-rotate-0&quot;, &quot;icon&quot;: &quot;info-sign&quot;, &quot;iconColor&quot;: &quot;white&quot;, &quot;markerColor&quot;: &quot;blue&quot;, &quot;prefix&quot;: &quot;glyphicon&quot;}\n",
              "            );\n",
              "            marker_37062839154e59d8689e70b80cf07a5a.setIcon(icon_81cb23eea0ed552a9c67b30edda74e8b);\n",
              "        \n",
              "    \n",
              "        var popup_347831f3cb7c0a2a4b3056d1ef895b5f = L.popup({&quot;maxWidth&quot;: &quot;100%&quot;});\n",
              "\n",
              "        \n",
              "            \n",
              "                var html_d6659d1953d3be92d2516d3e2956d740 = $(`&lt;div id=&quot;html_d6659d1953d3be92d2516d3e2956d740&quot; style=&quot;width: 100.0%; height: 100.0%;&quot;&gt;Vitacura: 44 casas&lt;/div&gt;`)[0];\n",
              "                popup_347831f3cb7c0a2a4b3056d1ef895b5f.setContent(html_d6659d1953d3be92d2516d3e2956d740);\n",
              "            \n",
              "        \n",
              "\n",
              "        marker_37062839154e59d8689e70b80cf07a5a.bindPopup(popup_347831f3cb7c0a2a4b3056d1ef895b5f)\n",
              "        ;\n",
              "\n",
              "        \n",
              "    \n",
              "    \n",
              "            var marker_569fef381b9c31a52c0b36033c9f5277 = L.marker(\n",
              "                [-33.4539, -70.6039],\n",
              "                {}\n",
              "            ).addTo(map_63f98a1366d1c7a1924889b3bc88947d);\n",
              "        \n",
              "    \n",
              "            var icon_7f5af483c6854c8a48fc7a9743235ab6 = L.AwesomeMarkers.icon(\n",
              "                {&quot;extraClasses&quot;: &quot;fa-rotate-0&quot;, &quot;icon&quot;: &quot;info-sign&quot;, &quot;iconColor&quot;: &quot;white&quot;, &quot;markerColor&quot;: &quot;blue&quot;, &quot;prefix&quot;: &quot;glyphicon&quot;}\n",
              "            );\n",
              "            marker_569fef381b9c31a52c0b36033c9f5277.setIcon(icon_7f5af483c6854c8a48fc7a9743235ab6);\n",
              "        \n",
              "    \n",
              "        var popup_0ce70aac34e1e088a3d9bd3a9824ad00 = L.popup({&quot;maxWidth&quot;: &quot;100%&quot;});\n",
              "\n",
              "        \n",
              "            \n",
              "                var html_cbfaf1d7a7b19a3fcb7c8934b2aa5be5 = $(`&lt;div id=&quot;html_cbfaf1d7a7b19a3fcb7c8934b2aa5be5&quot; style=&quot;width: 100.0%; height: 100.0%;&quot;&gt;Ñuñoa: 48 casas&lt;/div&gt;`)[0];\n",
              "                popup_0ce70aac34e1e088a3d9bd3a9824ad00.setContent(html_cbfaf1d7a7b19a3fcb7c8934b2aa5be5);\n",
              "            \n",
              "        \n",
              "\n",
              "        marker_569fef381b9c31a52c0b36033c9f5277.bindPopup(popup_0ce70aac34e1e088a3d9bd3a9824ad00)\n",
              "        ;\n",
              "\n",
              "        \n",
              "    \n",
              "&lt;/script&gt;\n",
              "&lt;/html&gt;\" style=\"position:absolute;width:100%;height:100%;left:0;top:0;border:none !important;\" allowfullscreen webkitallowfullscreen mozallowfullscreen></iframe></div></div>"
            ],
            "text/plain": [
              "<folium.folium.Map at 0x7f96fd3e3310>"
            ]
          },
          "execution_count": 352,
          "metadata": {},
          "output_type": "execute_result"
        }
      ],
      "source": [
        "import folium\n",
        "\n",
        "# Crear el mapa base, centrado en una ubicación general de la Región Metropolitana\n",
        "mapa = folium.Map(location=[-33.45, -70.65], zoom_start=11)\n",
        "\n",
        "# Añadir marcadores para cada comuna\n",
        "for _, row in df_grouped.iterrows():\n",
        "    folium.Marker(\n",
        "        location=[row['Latitud (Decimal)'], row['Longitud (decimal)']],\n",
        "        popup=f\"{row['Comuna']}: {row['N_Habitaciones']} casas\",\n",
        "        icon=folium.Icon(color='blue', icon='info-sign')\n",
        "    ).add_to(mapa)\n",
        "\n",
        "# Guardar el mapa en un archivo HTML\n",
        "mapa.save('mapa_habitaciones_por_comuna.html')\n",
        "mapa"
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "9PVjmdgOPnxs"
      },
      "source": [
        "### Análisis de correlación de las variables"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": 353,
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 293
        },
        "id": "5KC4gCNvQF6Z",
        "outputId": "1460065c-e817-4192-b582-743b162e193b"
      },
      "outputs": [
        {
          "name": "stderr",
          "output_type": "stream",
          "text": [
            "<ipython-input-353-4381f08f6434>:1: FutureWarning: The default value of numeric_only in DataFrame.corr is deprecated. In a future version, it will default to False. Select only valid columns or specify the value of numeric_only to silence this warning.\n",
            "  corr = df.corr()\n"
          ]
        },
        {
          "data": {
            "application/vnd.google.colaboratory.intrinsic+json": {
              "summary": "{\n  \"name\": \"corr\",\n  \"rows\": 6,\n  \"fields\": [\n    {\n      \"column\": \"N_Habitaciones\",\n      \"properties\": {\n        \"dtype\": \"number\",\n        \"std\": 0.34043820912246836,\n        \"min\": 0.07889589091628732,\n        \"max\": 1.0,\n        \"num_unique_values\": 6,\n        \"samples\": [\n          1.0,\n          0.5843807696912872,\n          0.13413626484414692\n        ],\n        \"semantic_type\": \"\",\n        \"description\": \"\"\n      }\n    },\n    {\n      \"column\": \"N_Ba\\u00f1os\",\n      \"properties\": {\n        \"dtype\": \"number\",\n        \"std\": 0.29310510521361854,\n        \"min\": 0.18116348785159472,\n        \"max\": 1.0,\n        \"num_unique_values\": 6,\n        \"samples\": [\n          0.5843807696912872,\n          1.0,\n          0.18116348785159472\n        ],\n        \"semantic_type\": \"\",\n        \"description\": \"\"\n      }\n    },\n    {\n      \"column\": \" Valor_UF \",\n      \"properties\": {\n        \"dtype\": \"number\",\n        \"std\": 0.32860565386519214,\n        \"min\": 0.2763799607071747,\n        \"max\": 1.0,\n        \"num_unique_values\": 6,\n        \"samples\": [\n          0.3225281477990611,\n          0.5589392980103955,\n          0.4084506768788727\n        ],\n        \"semantic_type\": \"\",\n        \"description\": \"\"\n      }\n    },\n    {\n      \"column\": \"Valor_CLP\",\n      \"properties\": {\n        \"dtype\": \"number\",\n        \"std\": 0.3286076910140378,\n        \"min\": 0.27636644576034225,\n        \"max\": 1.0,\n        \"num_unique_values\": 6,\n        \"samples\": [\n          0.3225278024320974,\n          0.558934793289411,\n          0.4084571542637702\n        ],\n        \"semantic_type\": \"\",\n        \"description\": \"\"\n      }\n    },\n    {\n      \"column\": \"Latitud (Decimal)\",\n      \"properties\": {\n        \"dtype\": \"number\",\n        \"std\": 0.3636983133902391,\n        \"min\": -0.04378622504379226,\n        \"max\": 1.0,\n        \"num_unique_values\": 6,\n        \"samples\": [\n          0.07889589091628732,\n          0.2422032612398385,\n          -0.04378622504379226\n        ],\n        \"semantic_type\": \"\",\n        \"description\": \"\"\n      }\n    },\n    {\n      \"column\": \"Longitud (decimal)\",\n      \"properties\": {\n        \"dtype\": \"number\",\n        \"std\": 0.3631754086886862,\n        \"min\": -0.04378622504379226,\n        \"max\": 1.0,\n        \"num_unique_values\": 6,\n        \"samples\": [\n          0.13413626484414692,\n          0.18116348785159472,\n          1.0\n        ],\n        \"semantic_type\": \"\",\n        \"description\": \"\"\n      }\n    }\n  ]\n}",
              "type": "dataframe",
              "variable_name": "corr"
            },
            "text/html": [
              "\n",
              "  <div id=\"df-a6598e9e-50cf-44bd-b2d8-e9970bc029ee\" class=\"colab-df-container\">\n",
              "    <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>N_Habitaciones</th>\n",
              "      <th>N_Baños</th>\n",
              "      <th>Valor_UF</th>\n",
              "      <th>Valor_CLP</th>\n",
              "      <th>Latitud (Decimal)</th>\n",
              "      <th>Longitud (decimal)</th>\n",
              "    </tr>\n",
              "  </thead>\n",
              "  <tbody>\n",
              "    <tr>\n",
              "      <th>N_Habitaciones</th>\n",
              "      <td>1.000000</td>\n",
              "      <td>0.584381</td>\n",
              "      <td>0.322528</td>\n",
              "      <td>0.322528</td>\n",
              "      <td>0.078896</td>\n",
              "      <td>0.134136</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>N_Baños</th>\n",
              "      <td>0.584381</td>\n",
              "      <td>1.000000</td>\n",
              "      <td>0.558939</td>\n",
              "      <td>0.558935</td>\n",
              "      <td>0.242203</td>\n",
              "      <td>0.181163</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>Valor_UF</th>\n",
              "      <td>0.322528</td>\n",
              "      <td>0.558939</td>\n",
              "      <td>1.000000</td>\n",
              "      <td>1.000000</td>\n",
              "      <td>0.276380</td>\n",
              "      <td>0.408451</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>Valor_CLP</th>\n",
              "      <td>0.322528</td>\n",
              "      <td>0.558935</td>\n",
              "      <td>1.000000</td>\n",
              "      <td>1.000000</td>\n",
              "      <td>0.276366</td>\n",
              "      <td>0.408457</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>Latitud (Decimal)</th>\n",
              "      <td>0.078896</td>\n",
              "      <td>0.242203</td>\n",
              "      <td>0.276380</td>\n",
              "      <td>0.276366</td>\n",
              "      <td>1.000000</td>\n",
              "      <td>-0.043786</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>Longitud (decimal)</th>\n",
              "      <td>0.134136</td>\n",
              "      <td>0.181163</td>\n",
              "      <td>0.408451</td>\n",
              "      <td>0.408457</td>\n",
              "      <td>-0.043786</td>\n",
              "      <td>1.000000</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-a6598e9e-50cf-44bd-b2d8-e9970bc029ee')\"\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-a6598e9e-50cf-44bd-b2d8-e9970bc029ee 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-a6598e9e-50cf-44bd-b2d8-e9970bc029ee');\n",
              "        const dataTable =\n",
              "          await google.colab.kernel.invokeFunction('convertToInteractive',\n",
              "                                                    [key], {});\n",
              "        if (!dataTable) return;\n",
              "\n",
              "        const docLinkHtml = 'Like what you see? Visit the ' +\n",
              "          '<a target=\"_blank\" href=https://colab.research.google.com/notebooks/data_table.ipynb>data table notebook</a>'\n",
              "          + ' to learn more about interactive tables.';\n",
              "        element.innerHTML = '';\n",
              "        dataTable['output_type'] = 'display_data';\n",
              "        await google.colab.output.renderOutput(dataTable, element);\n",
              "        const docLink = document.createElement('div');\n",
              "        docLink.innerHTML = docLinkHtml;\n",
              "        element.appendChild(docLink);\n",
              "      }\n",
              "    </script>\n",
              "  </div>\n",
              "\n",
              "\n",
              "<div id=\"df-ba22a6f2-da42-4d10-bf2d-57256b9835f1\">\n",
              "  <button class=\"colab-df-quickchart\" onclick=\"quickchart('df-ba22a6f2-da42-4d10-bf2d-57256b9835f1')\"\n",
              "            title=\"Suggest charts\"\n",
              "            style=\"display:none;\">\n",
              "\n",
              "<svg xmlns=\"http://www.w3.org/2000/svg\" height=\"24px\"viewBox=\"0 0 24 24\"\n",
              "     width=\"24px\">\n",
              "    <g>\n",
              "        <path d=\"M19 3H5c-1.1 0-2 .9-2 2v14c0 1.1.9 2 2 2h14c1.1 0 2-.9 2-2V5c0-1.1-.9-2-2-2zM9 17H7v-7h2v7zm4 0h-2V7h2v10zm4 0h-2v-4h2v4z\"/>\n",
              "    </g>\n",
              "</svg>\n",
              "  </button>\n",
              "\n",
              "<style>\n",
              "  .colab-df-quickchart {\n",
              "      --bg-color: #E8F0FE;\n",
              "      --fill-color: #1967D2;\n",
              "      --hover-bg-color: #E2EBFA;\n",
              "      --hover-fill-color: #174EA6;\n",
              "      --disabled-fill-color: #AAA;\n",
              "      --disabled-bg-color: #DDD;\n",
              "  }\n",
              "\n",
              "  [theme=dark] .colab-df-quickchart {\n",
              "      --bg-color: #3B4455;\n",
              "      --fill-color: #D2E3FC;\n",
              "      --hover-bg-color: #434B5C;\n",
              "      --hover-fill-color: #FFFFFF;\n",
              "      --disabled-bg-color: #3B4455;\n",
              "      --disabled-fill-color: #666;\n",
              "  }\n",
              "\n",
              "  .colab-df-quickchart {\n",
              "    background-color: var(--bg-color);\n",
              "    border: none;\n",
              "    border-radius: 50%;\n",
              "    cursor: pointer;\n",
              "    display: none;\n",
              "    fill: var(--fill-color);\n",
              "    height: 32px;\n",
              "    padding: 0;\n",
              "    width: 32px;\n",
              "  }\n",
              "\n",
              "  .colab-df-quickchart:hover {\n",
              "    background-color: var(--hover-bg-color);\n",
              "    box-shadow: 0 1px 2px rgba(60, 64, 67, 0.3), 0 1px 3px 1px rgba(60, 64, 67, 0.15);\n",
              "    fill: var(--button-hover-fill-color);\n",
              "  }\n",
              "\n",
              "  .colab-df-quickchart-complete:disabled,\n",
              "  .colab-df-quickchart-complete:disabled:hover {\n",
              "    background-color: var(--disabled-bg-color);\n",
              "    fill: var(--disabled-fill-color);\n",
              "    box-shadow: none;\n",
              "  }\n",
              "\n",
              "  .colab-df-spinner {\n",
              "    border: 2px solid var(--fill-color);\n",
              "    border-color: transparent;\n",
              "    border-bottom-color: var(--fill-color);\n",
              "    animation:\n",
              "      spin 1s steps(1) infinite;\n",
              "  }\n",
              "\n",
              "  @keyframes spin {\n",
              "    0% {\n",
              "      border-color: transparent;\n",
              "      border-bottom-color: var(--fill-color);\n",
              "      border-left-color: var(--fill-color);\n",
              "    }\n",
              "    20% {\n",
              "      border-color: transparent;\n",
              "      border-left-color: var(--fill-color);\n",
              "      border-top-color: var(--fill-color);\n",
              "    }\n",
              "    30% {\n",
              "      border-color: transparent;\n",
              "      border-left-color: var(--fill-color);\n",
              "      border-top-color: var(--fill-color);\n",
              "      border-right-color: var(--fill-color);\n",
              "    }\n",
              "    40% {\n",
              "      border-color: transparent;\n",
              "      border-right-color: var(--fill-color);\n",
              "      border-top-color: var(--fill-color);\n",
              "    }\n",
              "    60% {\n",
              "      border-color: transparent;\n",
              "      border-right-color: var(--fill-color);\n",
              "    }\n",
              "    80% {\n",
              "      border-color: transparent;\n",
              "      border-right-color: var(--fill-color);\n",
              "      border-bottom-color: var(--fill-color);\n",
              "    }\n",
              "    90% {\n",
              "      border-color: transparent;\n",
              "      border-bottom-color: var(--fill-color);\n",
              "    }\n",
              "  }\n",
              "</style>\n",
              "\n",
              "  <script>\n",
              "    async function quickchart(key) {\n",
              "      const quickchartButtonEl =\n",
              "        document.querySelector('#' + key + ' button');\n",
              "      quickchartButtonEl.disabled = true;  // To prevent multiple clicks.\n",
              "      quickchartButtonEl.classList.add('colab-df-spinner');\n",
              "      try {\n",
              "        const charts = await google.colab.kernel.invokeFunction(\n",
              "            'suggestCharts', [key], {});\n",
              "      } catch (error) {\n",
              "        console.error('Error during call to suggestCharts:', error);\n",
              "      }\n",
              "      quickchartButtonEl.classList.remove('colab-df-spinner');\n",
              "      quickchartButtonEl.classList.add('colab-df-quickchart-complete');\n",
              "    }\n",
              "    (() => {\n",
              "      let quickchartButtonEl =\n",
              "        document.querySelector('#df-ba22a6f2-da42-4d10-bf2d-57256b9835f1 button');\n",
              "      quickchartButtonEl.style.display =\n",
              "        google.colab.kernel.accessAllowed ? 'block' : 'none';\n",
              "    })();\n",
              "  </script>\n",
              "</div>\n",
              "\n",
              "  <div id=\"id_5ca740a5-7147-4687-9118-36885a1e061f\">\n",
              "    <style>\n",
              "      .colab-df-generate {\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-generate:hover {\n",
              "        background-color: #E2EBFA;\n",
              "        box-shadow: 0px 1px 2px rgba(60, 64, 67, 0.3), 0px 1px 3px 1px rgba(60, 64, 67, 0.15);\n",
              "        fill: #174EA6;\n",
              "      }\n",
              "\n",
              "      [theme=dark] .colab-df-generate {\n",
              "        background-color: #3B4455;\n",
              "        fill: #D2E3FC;\n",
              "      }\n",
              "\n",
              "      [theme=dark] .colab-df-generate:hover {\n",
              "        background-color: #434B5C;\n",
              "        box-shadow: 0px 1px 3px 1px rgba(0, 0, 0, 0.15);\n",
              "        filter: drop-shadow(0px 1px 2px rgba(0, 0, 0, 0.3));\n",
              "        fill: #FFFFFF;\n",
              "      }\n",
              "    </style>\n",
              "    <button class=\"colab-df-generate\" onclick=\"generateWithVariable('corr')\"\n",
              "            title=\"Generate code using this dataframe.\"\n",
              "            style=\"display:none;\">\n",
              "\n",
              "  <svg xmlns=\"http://www.w3.org/2000/svg\" height=\"24px\"viewBox=\"0 0 24 24\"\n",
              "       width=\"24px\">\n",
              "    <path d=\"M7,19H8.4L18.45,9,17,7.55,7,17.6ZM5,21V16.75L18.45,3.32a2,2,0,0,1,2.83,0l1.4,1.43a1.91,1.91,0,0,1,.58,1.4,1.91,1.91,0,0,1-.58,1.4L9.25,21ZM18.45,9,17,7.55Zm-12,3A5.31,5.31,0,0,0,4.9,8.1,5.31,5.31,0,0,0,1,6.5,5.31,5.31,0,0,0,4.9,4.9,5.31,5.31,0,0,0,6.5,1,5.31,5.31,0,0,0,8.1,4.9,5.31,5.31,0,0,0,12,6.5,5.46,5.46,0,0,0,6.5,12Z\"/>\n",
              "  </svg>\n",
              "    </button>\n",
              "    <script>\n",
              "      (() => {\n",
              "      const buttonEl =\n",
              "        document.querySelector('#id_5ca740a5-7147-4687-9118-36885a1e061f button.colab-df-generate');\n",
              "      buttonEl.style.display =\n",
              "        google.colab.kernel.accessAllowed ? 'block' : 'none';\n",
              "\n",
              "      buttonEl.onclick = () => {\n",
              "        google.colab.notebook.generateWithVariable('corr');\n",
              "      }\n",
              "      })();\n",
              "    </script>\n",
              "  </div>\n",
              "\n",
              "    </div>\n",
              "  </div>\n"
            ],
            "text/plain": [
              "                    N_Habitaciones   N_Baños   Valor_UF   Valor_CLP  \\\n",
              "N_Habitaciones            1.000000  0.584381    0.322528   0.322528   \n",
              "N_Baños                   0.584381  1.000000    0.558939   0.558935   \n",
              " Valor_UF                 0.322528  0.558939    1.000000   1.000000   \n",
              "Valor_CLP                 0.322528  0.558935    1.000000   1.000000   \n",
              "Latitud (Decimal)         0.078896  0.242203    0.276380   0.276366   \n",
              "Longitud (decimal)        0.134136  0.181163    0.408451   0.408457   \n",
              "\n",
              "                    Latitud (Decimal)  Longitud (decimal)  \n",
              "N_Habitaciones               0.078896            0.134136  \n",
              "N_Baños                      0.242203            0.181163  \n",
              " Valor_UF                    0.276380            0.408451  \n",
              "Valor_CLP                    0.276366            0.408457  \n",
              "Latitud (Decimal)            1.000000           -0.043786  \n",
              "Longitud (decimal)          -0.043786            1.000000  "
            ]
          },
          "execution_count": 353,
          "metadata": {},
          "output_type": "execute_result"
        }
      ],
      "source": [
        "corr = df.corr()\n",
        "corr"
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "sNecll-HRQ5G"
      },
      "source": [
        "#### Visualicemos un poco mejor esto"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": 354,
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 853
        },
        "id": "pN8WDW5UiPfd",
        "outputId": "3ac1e46e-bb5c-40a5-ca76-3372d54209f7"
      },
      "outputs": [
        {
          "name": "stderr",
          "output_type": "stream",
          "text": [
            "<ipython-input-354-74421bbed24f>:3: FutureWarning: The default value of numeric_only in DataFrame.corr is deprecated. In a future version, it will default to False. Select only valid columns or specify the value of numeric_only to silence this warning.\n",
            "  corr = df.corr()\n"
          ]
        },
        {
          "data": {
            "image/png": 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",
            "text/plain": [
              "<Figure size 1000x800 with 2 Axes>"
            ]
          },
          "metadata": {},
          "output_type": "display_data"
        }
      ],
      "source": [
        "import seaborn as sns\n",
        "\n",
        "corr = df.corr()\n",
        "\n",
        "plt.figure(figsize=(10, 8))  # Puedes ajustar el tamaño según tus necesidades\n",
        "sns.heatmap(corr,\n",
        "            xticklabels=corr.columns,\n",
        "            yticklabels=corr.columns,\n",
        "            cmap='coolwarm',  # Elige el mapa de colores que prefieras\n",
        "            annot=True,  # Muestra los valores de correlación\n",
        "            linewidths=.5)  # Ajusta el espaciado entre las celdas si es necesario\n",
        "plt.title(\"Correlación de variables\")\n",
        "plt.show()"
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "PtTDbZboRYzK"
      },
      "source": [
        "### Preparemos todo para entrenar un modelo de ML"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": 355,
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "bDnnO21pRiIV",
        "outputId": "c5afbbb7-c072-4bf6-f1c8-634a80ebb871"
      },
      "outputs": [
        {
          "name": "stdout",
          "output_type": "stream",
          "text": [
            "<class 'pandas.core.frame.DataFrame'>\n",
            "Int64Index: 986 entries, 0 to 1138\n",
            "Data columns (total 14 columns):\n",
            " #   Column                    Non-Null Count  Dtype  \n",
            "---  ------                    --------------  -----  \n",
            " 0   Comuna                    986 non-null    object \n",
            " 1   Tipo_Vivienda             986 non-null    object \n",
            " 2   N_Habitaciones            986 non-null    float64\n",
            " 3   N_Baños                   986 non-null    float64\n",
            " 4   N_Estacionamientos        986 non-null    object \n",
            " 5   Total_Superficie_M2       986 non-null    object \n",
            " 6   Superficie_Construida_M2  986 non-null    object \n",
            " 7    Valor_UF                 986 non-null    float64\n",
            " 8   Valor_CLP                 986 non-null    int64  \n",
            " 9   Dirección                 986 non-null    object \n",
            " 10  Quién_Vende               986 non-null    object \n",
            " 11  Corredor                  986 non-null    object \n",
            " 12  Latitud (Decimal)         986 non-null    float64\n",
            " 13  Longitud (decimal)        986 non-null    float64\n",
            "dtypes: float64(5), int64(1), object(8)\n",
            "memory usage: 115.5+ KB\n"
          ]
        }
      ],
      "source": [
        "df.info()"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": 356,
      "metadata": {
        "id": "ceZCze713sM0"
      },
      "outputs": [],
      "source": [
        "# Vamos a limpiar estas variables ya se supone que sean numéricas\n",
        "variables_a_limpiar = [\"N_Estacionamientos\",\"Total_Superficie_M2\",\"Superficie_Construida_M2\"]\n",
        "variables_a_limpiar\n",
        "for variable in variables_a_limpiar:\n",
        "  df[variable] = pd.to_numeric(df[variable], errors='coerce')\n"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": 357,
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "I4tAAXOw31qK",
        "outputId": "0fd0b838-8f36-4564-9cf2-bc56c1b955a1"
      },
      "outputs": [
        {
          "name": "stdout",
          "output_type": "stream",
          "text": [
            "<class 'pandas.core.frame.DataFrame'>\n",
            "Int64Index: 986 entries, 0 to 1138\n",
            "Data columns (total 10 columns):\n",
            " #   Column                    Non-Null Count  Dtype  \n",
            "---  ------                    --------------  -----  \n",
            " 0   Comuna                    986 non-null    object \n",
            " 1   N_Habitaciones            986 non-null    float64\n",
            " 2   N_Baños                   986 non-null    float64\n",
            " 3   N_Estacionamientos        986 non-null    float64\n",
            " 4   Total_Superficie_M2       986 non-null    float64\n",
            " 5   Superficie_Construida_M2  986 non-null    float64\n",
            " 6    Valor_UF                 986 non-null    float64\n",
            " 7   Valor_CLP                 986 non-null    int64  \n",
            " 8   Latitud (Decimal)         986 non-null    float64\n",
            " 9   Longitud (decimal)        986 non-null    float64\n",
            "dtypes: float64(8), int64(1), object(1)\n",
            "memory usage: 84.7+ KB\n"
          ]
        }
      ],
      "source": [
        "# Eliminar las variables que no nos aportan información relevante y que son categoricas\n",
        "df.drop([\"Tipo_Vivienda\",\"Corredor\",\"Quién_Vende\",\"Dirección\"],axis=1,inplace=True)\n",
        "\n",
        "# Rellenamos los campos NaN con 0\n",
        "df.fillna(0, inplace=True)\n",
        "\n",
        "df.info()"
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "ZSyPnm6qSxZI"
      },
      "source": [
        "#### Transformación de columnas categoricas"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": 358,
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        "colab": {
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        },
        "id": "hJB-TbJT5mMy",
        "outputId": "4bbb0e82-782b-4b96-affa-125992106737"
      },
      "outputs": [
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            "text/plain": [
              "   Calera de Tango  Cerrillos  Cerro Navia  Colina  Conchalí  El Bosque  \\\n",
              "0                1          0            0       0         0          0   \n",
              "1                1          0            0       0         0          0   \n",
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              "4                1          0            0       0         0          0   \n",
              "\n",
              "   El Monte  Estación Central  Huechuraba  Independencia  ...  Recoleta  \\\n",
              "0         0                 0           0              0  ...         0   \n",
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              "2         0                 0           0              0  ...         0   \n",
              "3         0                 0           0              0  ...         0   \n",
              "4         0                 0           0              0  ...         0   \n",
              "\n",
              "   Renca  San Bernardo  San Joaquín  San José de Maipo  San Miguel  San Ramón  \\\n",
              "0      0             0            0                  0           0          0   \n",
              "1      0             0            0                  0           0          0   \n",
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              "3      0             0            0                  0           0          0   \n",
              "4      0             0            0                  0           0          0   \n",
              "\n",
              "   Santiago  Vitacura  Ñuñoa  \n",
              "0         0         0      0  \n",
              "1         0         0      0  \n",
              "2         0         0      0  \n",
              "3         0         0      0  \n",
              "4         0         0      0  \n",
              "\n",
              "[5 rows x 41 columns]"
            ]
          },
          "execution_count": 358,
          "metadata": {},
          "output_type": "execute_result"
        }
      ],
      "source": [
        "# Realicemos el one-hot encoding\n",
        "df_dummies = pd.get_dummies(df['Comuna'])\n",
        "\n",
        "df_dummies.head()"
      ]
    },
    {
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      "execution_count": 359,
      "metadata": {
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        },
        "id": "erK0RJPg6JuF",
        "outputId": "551dd156-da7b-4eee-d3a9-09b7af709b22"
      },
      "outputs": [
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              "    <tr>\n",
              "      <th>1</th>\n",
              "      <td>6.0</td>\n",
              "      <td>6.0</td>\n",
              "      <td>6.0</td>\n",
              "      <td>5000.0</td>\n",
              "      <td>430.0</td>\n",
              "      <td>13.0</td>\n",
              "      <td>374400000</td>\n",
              "      <td>-33.6278</td>\n",
              "      <td>-70.785</td>\n",
              "      <td>1</td>\n",
              "      <td>...</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>2</th>\n",
              "      <td>3.0</td>\n",
              "      <td>3.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>2027.0</td>\n",
              "      <td>140.0</td>\n",
              "      <td>10.3</td>\n",
              "      <td>296640000</td>\n",
              "      <td>-33.6278</td>\n",
              "      <td>-70.785</td>\n",
              "      <td>1</td>\n",
              "      <td>...</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>3</th>\n",
              "      <td>8.0</td>\n",
              "      <td>6.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>5000.0</td>\n",
              "      <td>480.0</td>\n",
              "      <td>21.5</td>\n",
              "      <td>619200000</td>\n",
              "      <td>-33.6278</td>\n",
              "      <td>-70.785</td>\n",
              "      <td>1</td>\n",
              "      <td>...</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>4</th>\n",
              "      <td>3.0</td>\n",
              "      <td>2.0</td>\n",
              "      <td>3.0</td>\n",
              "      <td>5000.0</td>\n",
              "      <td>196.0</td>\n",
              "      <td>9.1</td>\n",
              "      <td>262080000</td>\n",
              "      <td>-33.6278</td>\n",
              "      <td>-70.785</td>\n",
              "      <td>1</td>\n",
              "      <td>...</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "    </tr>\n",
              "  </tbody>\n",
              "</table>\n",
              "<p>5 rows × 50 columns</p>\n",
              "</div>\n",
              "    <div class=\"colab-df-buttons\">\n",
              "\n",
              "  <div class=\"colab-df-container\">\n",
              "    <button class=\"colab-df-convert\" onclick=\"convertToInteractive('df-c10733ba-a02c-41e2-a58a-b764392e209b')\"\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-c10733ba-a02c-41e2-a58a-b764392e209b 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-c10733ba-a02c-41e2-a58a-b764392e209b');\n",
              "        const dataTable =\n",
              "          await google.colab.kernel.invokeFunction('convertToInteractive',\n",
              "                                                    [key], {});\n",
              "        if (!dataTable) return;\n",
              "\n",
              "        const docLinkHtml = 'Like what you see? Visit the ' +\n",
              "          '<a target=\"_blank\" href=https://colab.research.google.com/notebooks/data_table.ipynb>data table notebook</a>'\n",
              "          + ' to learn more about interactive tables.';\n",
              "        element.innerHTML = '';\n",
              "        dataTable['output_type'] = 'display_data';\n",
              "        await google.colab.output.renderOutput(dataTable, element);\n",
              "        const docLink = document.createElement('div');\n",
              "        docLink.innerHTML = docLinkHtml;\n",
              "        element.appendChild(docLink);\n",
              "      }\n",
              "    </script>\n",
              "  </div>\n",
              "\n",
              "\n",
              "<div id=\"df-d847d1f3-ffd4-4b04-99e0-1d237c1ebd0e\">\n",
              "  <button class=\"colab-df-quickchart\" onclick=\"quickchart('df-d847d1f3-ffd4-4b04-99e0-1d237c1ebd0e')\"\n",
              "            title=\"Suggest charts\"\n",
              "            style=\"display:none;\">\n",
              "\n",
              "<svg xmlns=\"http://www.w3.org/2000/svg\" height=\"24px\"viewBox=\"0 0 24 24\"\n",
              "     width=\"24px\">\n",
              "    <g>\n",
              "        <path d=\"M19 3H5c-1.1 0-2 .9-2 2v14c0 1.1.9 2 2 2h14c1.1 0 2-.9 2-2V5c0-1.1-.9-2-2-2zM9 17H7v-7h2v7zm4 0h-2V7h2v10zm4 0h-2v-4h2v4z\"/>\n",
              "    </g>\n",
              "</svg>\n",
              "  </button>\n",
              "\n",
              "<style>\n",
              "  .colab-df-quickchart {\n",
              "      --bg-color: #E8F0FE;\n",
              "      --fill-color: #1967D2;\n",
              "      --hover-bg-color: #E2EBFA;\n",
              "      --hover-fill-color: #174EA6;\n",
              "      --disabled-fill-color: #AAA;\n",
              "      --disabled-bg-color: #DDD;\n",
              "  }\n",
              "\n",
              "  [theme=dark] .colab-df-quickchart {\n",
              "      --bg-color: #3B4455;\n",
              "      --fill-color: #D2E3FC;\n",
              "      --hover-bg-color: #434B5C;\n",
              "      --hover-fill-color: #FFFFFF;\n",
              "      --disabled-bg-color: #3B4455;\n",
              "      --disabled-fill-color: #666;\n",
              "  }\n",
              "\n",
              "  .colab-df-quickchart {\n",
              "    background-color: var(--bg-color);\n",
              "    border: none;\n",
              "    border-radius: 50%;\n",
              "    cursor: pointer;\n",
              "    display: none;\n",
              "    fill: var(--fill-color);\n",
              "    height: 32px;\n",
              "    padding: 0;\n",
              "    width: 32px;\n",
              "  }\n",
              "\n",
              "  .colab-df-quickchart:hover {\n",
              "    background-color: var(--hover-bg-color);\n",
              "    box-shadow: 0 1px 2px rgba(60, 64, 67, 0.3), 0 1px 3px 1px rgba(60, 64, 67, 0.15);\n",
              "    fill: var(--button-hover-fill-color);\n",
              "  }\n",
              "\n",
              "  .colab-df-quickchart-complete:disabled,\n",
              "  .colab-df-quickchart-complete:disabled:hover {\n",
              "    background-color: var(--disabled-bg-color);\n",
              "    fill: var(--disabled-fill-color);\n",
              "    box-shadow: none;\n",
              "  }\n",
              "\n",
              "  .colab-df-spinner {\n",
              "    border: 2px solid var(--fill-color);\n",
              "    border-color: transparent;\n",
              "    border-bottom-color: var(--fill-color);\n",
              "    animation:\n",
              "      spin 1s steps(1) infinite;\n",
              "  }\n",
              "\n",
              "  @keyframes spin {\n",
              "    0% {\n",
              "      border-color: transparent;\n",
              "      border-bottom-color: var(--fill-color);\n",
              "      border-left-color: var(--fill-color);\n",
              "    }\n",
              "    20% {\n",
              "      border-color: transparent;\n",
              "      border-left-color: var(--fill-color);\n",
              "      border-top-color: var(--fill-color);\n",
              "    }\n",
              "    30% {\n",
              "      border-color: transparent;\n",
              "      border-left-color: var(--fill-color);\n",
              "      border-top-color: var(--fill-color);\n",
              "      border-right-color: var(--fill-color);\n",
              "    }\n",
              "    40% {\n",
              "      border-color: transparent;\n",
              "      border-right-color: var(--fill-color);\n",
              "      border-top-color: var(--fill-color);\n",
              "    }\n",
              "    60% {\n",
              "      border-color: transparent;\n",
              "      border-right-color: var(--fill-color);\n",
              "    }\n",
              "    80% {\n",
              "      border-color: transparent;\n",
              "      border-right-color: var(--fill-color);\n",
              "      border-bottom-color: var(--fill-color);\n",
              "    }\n",
              "    90% {\n",
              "      border-color: transparent;\n",
              "      border-bottom-color: var(--fill-color);\n",
              "    }\n",
              "  }\n",
              "</style>\n",
              "\n",
              "  <script>\n",
              "    async function quickchart(key) {\n",
              "      const quickchartButtonEl =\n",
              "        document.querySelector('#' + key + ' button');\n",
              "      quickchartButtonEl.disabled = true;  // To prevent multiple clicks.\n",
              "      quickchartButtonEl.classList.add('colab-df-spinner');\n",
              "      try {\n",
              "        const charts = await google.colab.kernel.invokeFunction(\n",
              "            'suggestCharts', [key], {});\n",
              "      } catch (error) {\n",
              "        console.error('Error during call to suggestCharts:', error);\n",
              "      }\n",
              "      quickchartButtonEl.classList.remove('colab-df-spinner');\n",
              "      quickchartButtonEl.classList.add('colab-df-quickchart-complete');\n",
              "    }\n",
              "    (() => {\n",
              "      let quickchartButtonEl =\n",
              "        document.querySelector('#df-d847d1f3-ffd4-4b04-99e0-1d237c1ebd0e button');\n",
              "      quickchartButtonEl.style.display =\n",
              "        google.colab.kernel.accessAllowed ? 'block' : 'none';\n",
              "    })();\n",
              "  </script>\n",
              "</div>\n",
              "\n",
              "    </div>\n",
              "  </div>\n"
            ],
            "text/plain": [
              "   N_Habitaciones  N_Baños  N_Estacionamientos  Total_Superficie_M2  \\\n",
              "0             5.0      6.0                 3.0               5000.0   \n",
              "1             6.0      6.0                 6.0               5000.0   \n",
              "2             3.0      3.0                 0.0               2027.0   \n",
              "3             8.0      6.0                 0.0               5000.0   \n",
              "4             3.0      2.0                 3.0               5000.0   \n",
              "\n",
              "   Superficie_Construida_M2   Valor_UF   Valor_CLP  Latitud (Decimal)  \\\n",
              "0                     440.0        12.2  351360000           -33.6278   \n",
              "1                     430.0        13.0  374400000           -33.6278   \n",
              "2                     140.0        10.3  296640000           -33.6278   \n",
              "3                     480.0        21.5  619200000           -33.6278   \n",
              "4                     196.0         9.1  262080000           -33.6278   \n",
              "\n",
              "   Longitud (decimal)  Calera de Tango  ...  Recoleta  Renca  San Bernardo  \\\n",
              "0             -70.785                1  ...         0      0             0   \n",
              "1             -70.785                1  ...         0      0             0   \n",
              "2             -70.785                1  ...         0      0             0   \n",
              "3             -70.785                1  ...         0      0             0   \n",
              "4             -70.785                1  ...         0      0             0   \n",
              "\n",
              "   San Joaquín  San José de Maipo  San Miguel  San Ramón  Santiago  Vitacura  \\\n",
              "0            0                  0           0          0         0         0   \n",
              "1            0                  0           0          0         0         0   \n",
              "2            0                  0           0          0         0         0   \n",
              "3            0                  0           0          0         0         0   \n",
              "4            0                  0           0          0         0         0   \n",
              "\n",
              "   Ñuñoa  \n",
              "0      0  \n",
              "1      0  \n",
              "2      0  \n",
              "3      0  \n",
              "4      0  \n",
              "\n",
              "[5 rows x 50 columns]"
            ]
          },
          "execution_count": 359,
          "metadata": {},
          "output_type": "execute_result"
        }
      ],
      "source": [
        "# Agreguemos la información nueva a la tabla axistente\n",
        "df_final = pd.concat([df.drop('Comuna',axis=1), df_dummies], axis=1)\n",
        "\n",
        "df_final.head()"
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "DfjV8_vmTgtP"
      },
      "source": [
        "#### Dividamos Caracteristicas y Variable Objetivo"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": 360,
      "metadata": {
        "id": "Xf-pvZzY6tDP"
      },
      "outputs": [],
      "source": [
        "#Variables independientes\n",
        "x = df_final.drop(' Valor_UF ', axis=1)\n",
        "\n",
        "#Variables dependientes\n",
        "y = df_final[' Valor_UF '] # Nuestra variable objetivo es  Unidad de Fomento (UF)"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": 361,
      "metadata": {
        "id": "WVwWm_iK64n5"
      },
      "outputs": [],
      "source": [
        "#división en conjunto de entrenamiento y test\n",
        "from sklearn.model_selection import train_test_split\n",
        "\n",
        "x_train, x_test, y_train, y_test = train_test_split(x, y, test_size=0.3, random_state=42)"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": 362,
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "rlITI7vIT37d",
        "outputId": "f50f6991-41f7-4074-9bab-025cb0fb530f"
      },
      "outputs": [
        {
          "name": "stdout",
          "output_type": "stream",
          "text": [
            "Set de entrenamiento:  (690, 49)\n",
            "Set de test:  (296, 49)\n"
          ]
        }
      ],
      "source": [
        "print(\"Set de entrenamiento: \", x_train.shape)\n",
        "print(\"Set de test: \", x_test.shape)"
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "Rs1ydy0lTmun"
      },
      "source": [
        "### Entrenar modelos de Machine learning"
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "f0gohmB3XMQe"
      },
      "source": [
        "#### Entrenamiento Decision Tree"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": 363,
      "metadata": {
        "id": "hzaATdPtUs-j"
      },
      "outputs": [],
      "source": [
        "from sklearn.metrics import r2_score\n",
        "from sklearn.tree import DecisionTreeRegressor\n",
        "from sklearn.ensemble import RandomForestRegressor"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": 364,
      "metadata": {
        "id": "CkNCsYSD7LY3"
      },
      "outputs": [],
      "source": [
        "#Inicializando el modelo\n",
        "dtr = DecisionTreeRegressor(random_state=42, max_depth=5)"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": 365,
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 75
        },
        "id": "wPifu3do7SfS",
        "outputId": "9fbd4c8b-2bde-4eb6-a0ce-cdbae809d62a"
      },
      "outputs": [
        {
          "data": {
            "text/html": [
              "<style>#sk-container-id-5 {color: black;background-color: white;}#sk-container-id-5 pre{padding: 0;}#sk-container-id-5 div.sk-toggleable {background-color: white;}#sk-container-id-5 label.sk-toggleable__label {cursor: pointer;display: block;width: 100%;margin-bottom: 0;padding: 0.3em;box-sizing: border-box;text-align: center;}#sk-container-id-5 label.sk-toggleable__label-arrow:before {content: \"▸\";float: left;margin-right: 0.25em;color: #696969;}#sk-container-id-5 label.sk-toggleable__label-arrow:hover:before {color: black;}#sk-container-id-5 div.sk-estimator:hover label.sk-toggleable__label-arrow:before {color: black;}#sk-container-id-5 div.sk-toggleable__content {max-height: 0;max-width: 0;overflow: hidden;text-align: left;background-color: #f0f8ff;}#sk-container-id-5 div.sk-toggleable__content pre {margin: 0.2em;color: black;border-radius: 0.25em;background-color: #f0f8ff;}#sk-container-id-5 input.sk-toggleable__control:checked~div.sk-toggleable__content {max-height: 200px;max-width: 100%;overflow: auto;}#sk-container-id-5 input.sk-toggleable__control:checked~label.sk-toggleable__label-arrow:before {content: \"▾\";}#sk-container-id-5 div.sk-estimator input.sk-toggleable__control:checked~label.sk-toggleable__label {background-color: #d4ebff;}#sk-container-id-5 div.sk-label input.sk-toggleable__control:checked~label.sk-toggleable__label {background-color: #d4ebff;}#sk-container-id-5 input.sk-hidden--visually {border: 0;clip: rect(1px 1px 1px 1px);clip: rect(1px, 1px, 1px, 1px);height: 1px;margin: -1px;overflow: hidden;padding: 0;position: absolute;width: 1px;}#sk-container-id-5 div.sk-estimator {font-family: monospace;background-color: #f0f8ff;border: 1px dotted black;border-radius: 0.25em;box-sizing: border-box;margin-bottom: 0.5em;}#sk-container-id-5 div.sk-estimator:hover {background-color: #d4ebff;}#sk-container-id-5 div.sk-parallel-item::after {content: \"\";width: 100%;border-bottom: 1px solid gray;flex-grow: 1;}#sk-container-id-5 div.sk-label:hover label.sk-toggleable__label {background-color: #d4ebff;}#sk-container-id-5 div.sk-serial::before {content: \"\";position: absolute;border-left: 1px solid gray;box-sizing: border-box;top: 0;bottom: 0;left: 50%;z-index: 0;}#sk-container-id-5 div.sk-serial {display: flex;flex-direction: column;align-items: center;background-color: white;padding-right: 0.2em;padding-left: 0.2em;position: relative;}#sk-container-id-5 div.sk-item {position: relative;z-index: 1;}#sk-container-id-5 div.sk-parallel {display: flex;align-items: stretch;justify-content: center;background-color: white;position: relative;}#sk-container-id-5 div.sk-item::before, #sk-container-id-5 div.sk-parallel-item::before {content: \"\";position: absolute;border-left: 1px solid gray;box-sizing: border-box;top: 0;bottom: 0;left: 50%;z-index: -1;}#sk-container-id-5 div.sk-parallel-item {display: flex;flex-direction: column;z-index: 1;position: relative;background-color: white;}#sk-container-id-5 div.sk-parallel-item:first-child::after {align-self: flex-end;width: 50%;}#sk-container-id-5 div.sk-parallel-item:last-child::after {align-self: flex-start;width: 50%;}#sk-container-id-5 div.sk-parallel-item:only-child::after {width: 0;}#sk-container-id-5 div.sk-dashed-wrapped {border: 1px dashed gray;margin: 0 0.4em 0.5em 0.4em;box-sizing: border-box;padding-bottom: 0.4em;background-color: white;}#sk-container-id-5 div.sk-label label {font-family: monospace;font-weight: bold;display: inline-block;line-height: 1.2em;}#sk-container-id-5 div.sk-label-container {text-align: center;}#sk-container-id-5 div.sk-container {/* jupyter's `normalize.less` sets `[hidden] { display: none; }` but bootstrap.min.css set `[hidden] { display: none !important; }` so we also need the `!important` here to be able to override the default hidden behavior on the sphinx rendered scikit-learn.org. See: https://github.com/scikit-learn/scikit-learn/issues/21755 */display: inline-block !important;position: relative;}#sk-container-id-5 div.sk-text-repr-fallback {display: none;}</style><div id=\"sk-container-id-5\" class=\"sk-top-container\"><div class=\"sk-text-repr-fallback\"><pre>DecisionTreeRegressor(max_depth=5, random_state=42)</pre><b>In a Jupyter environment, please rerun this cell to show the HTML representation or trust the notebook. <br />On GitHub, the HTML representation is unable to render, please try loading this page with nbviewer.org.</b></div><div class=\"sk-container\" hidden><div class=\"sk-item\"><div class=\"sk-estimator sk-toggleable\"><input class=\"sk-toggleable__control sk-hidden--visually\" id=\"sk-estimator-id-5\" type=\"checkbox\" checked><label for=\"sk-estimator-id-5\" class=\"sk-toggleable__label sk-toggleable__label-arrow\">DecisionTreeRegressor</label><div class=\"sk-toggleable__content\"><pre>DecisionTreeRegressor(max_depth=5, random_state=42)</pre></div></div></div></div></div>"
            ],
            "text/plain": [
              "DecisionTreeRegressor(max_depth=5, random_state=42)"
            ]
          },
          "execution_count": 365,
          "metadata": {},
          "output_type": "execute_result"
        }
      ],
      "source": [
        "#Entrenamiento del modelo\n",
        "dtr.fit(x_train, y_train)"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": 366,
      "metadata": {
        "id": "DQbS43SE7ZKi"
      },
      "outputs": [],
      "source": [
        "#Predicciones con el set de prueba\n",
        "prediccion_dtr = dtr.predict(x_test)"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": 367,
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "bUKGKmLw8ZpF",
        "outputId": "fcf2280b-a97c-4909-d53d-903488eb1261"
      },
      "outputs": [
        {
          "data": {
            "text/plain": [
              "array([ 9.69177143,  1.94347368,  5.80548889, 11.71455   ,  3.35825   ,\n",
              "       15.21857143, 11.71455   ,  1.94347368,  6.629     ,  9.69177143,\n",
              "       13.89      , 11.71455   , 20.14022222,  7.66089655,  3.35825   ,\n",
              "       18.37534783, 26.93915385,  5.80548889,  7.66089655,  5.01680769,\n",
              "        6.629     , 12.82755   ,  2.75167797,  2.75167797,  6.629     ,\n",
              "       11.71455   ,  4.16434091, 32.1945    ,  5.01680769,  2.75167797,\n",
              "       12.82755   , 16.43182353,  5.80548889, 20.14022222, 18.37534783,\n",
              "        3.35825   , 29.87383333,  3.35825   , 11.71455   ,  3.35825   ,\n",
              "        3.35825   ,  7.66089655,  9.69177143,  6.629     , 10.676     ,\n",
              "       13.89      ,  9.69177143, 15.21857143, 10.676     ,  6.629     ,\n",
              "        2.75167797, 12.82755   ,  1.94347368,  5.01680769, 12.82755   ,\n",
              "        6.629     , 13.89      ,  4.16434091,  7.66089655, 20.14022222,\n",
              "        5.01680769,  8.85592   , 29.87383333, 32.1945    ,  5.80548889,\n",
              "       29.87383333, 22.12208333,  4.16434091,  5.01680769, 22.12208333,\n",
              "        9.69177143, 26.93915385,  4.16434091,  1.94347368, 45.7225    ,\n",
              "       10.676     ,  4.16434091,  1.94347368,  4.16434091,  1.94347368,\n",
              "        8.85592   , 15.21857143,  5.01680769,  9.69177143,  3.35825   ,\n",
              "       18.37534783, 29.87383333,  4.16434091,  2.75167797, 20.14022222,\n",
              "        6.629     ,  1.94347368,  4.16434091,  9.69177143,  9.69177143,\n",
              "        5.01680769,  9.69177143,  5.01680769,  7.66089655, 24.20704762,\n",
              "       20.14022222,  3.35825   , 12.82755   , 29.87383333, 13.89      ,\n",
              "        6.629     ,  7.66089655, 18.37534783,  3.35825   , 20.14022222,\n",
              "       10.676     ,  1.94347368,  7.66089655, 26.93915385,  9.69177143,\n",
              "        3.35825   ,  3.35825   , 12.82755   ,  6.629     ,  8.85592   ,\n",
              "       16.43182353, 10.676     ,  7.66089655,  6.629     ,  8.85592   ,\n",
              "        1.94347368, 12.82755   , 39.0098    ,  1.94347368,  5.80548889,\n",
              "       13.89      , 13.89      , 24.20704762, 24.20704762,  2.75167797,\n",
              "       39.0098    ,  5.01680769,  5.80548889, 18.37534783, 32.1945    ,\n",
              "        7.66089655, 10.676     , 11.71455   , 39.0098    , 18.37534783,\n",
              "        4.16434091,  4.16434091,  8.85592   , 22.12208333,  7.66089655,\n",
              "        1.94347368,  6.629     , 32.1945    , 13.89      , 12.82755   ,\n",
              "       10.676     ,  4.16434091,  4.16434091,  2.75167797, 29.87383333,\n",
              "        1.94347368,  7.66089655,  5.80548889,  6.629     ,  9.69177143,\n",
              "        3.35825   ,  4.16434091,  6.629     , 16.43182353, 13.89      ,\n",
              "       11.71455   , 12.82755   , 26.93915385,  5.01680769, 12.82755   ,\n",
              "        1.94347368, 18.37534783,  6.629     ,  9.69177143,  7.66089655,\n",
              "        1.94347368, 15.21857143,  8.85592   , 18.37534783,  1.94347368,\n",
              "        5.80548889, 32.1945    ,  9.69177143, 12.82755   ,  5.80548889,\n",
              "        4.16434091,  7.66089655,  4.16434091,  1.94347368, 16.43182353,\n",
              "       18.37534783,  1.94347368, 18.37534783,  2.75167797, 24.20704762,\n",
              "        3.35825   , 10.676     ,  2.75167797, 12.82755   , 26.93915385,\n",
              "        2.75167797, 50.495     , 16.43182353,  5.80548889,  6.629     ,\n",
              "       24.20704762, 18.37534783, 16.43182353, 26.93915385,  6.629     ,\n",
              "        6.629     ,  5.01680769,  6.629     ,  2.75167797,  5.80548889,\n",
              "        5.80548889, 11.71455   ,  4.16434091, 42.66333333, 11.71455   ,\n",
              "       18.37534783,  1.94347368,  3.35825   , 10.676     ,  4.16434091,\n",
              "       34.93666667,  5.80548889,  2.75167797,  1.94347368,  7.66089655,\n",
              "       11.71455   ,  1.94347368, 29.87383333,  3.35825   , 12.82755   ,\n",
              "        6.629     ,  4.16434091,  8.85592   ,  1.94347368,  6.629     ,\n",
              "       22.12208333, 16.43182353, 13.89      , 20.14022222,  4.16434091,\n",
              "        7.66089655,  8.85592   , 15.21857143,  8.85592   ,  5.01680769,\n",
              "       10.676     , 29.87383333,  4.16434091,  5.80548889, 22.12208333,\n",
              "       13.89      ,  6.629     , 18.37534783,  2.75167797,  9.69177143,\n",
              "        4.16434091, 20.14022222,  4.16434091,  6.629     , 13.89      ,\n",
              "        4.16434091,  1.94347368,  5.80548889,  5.01680769, 24.20704762,\n",
              "       13.89      ,  2.75167797,  6.629     ,  4.16434091,  8.85592   ,\n",
              "        7.66089655, 50.495     ,  4.16434091,  7.66089655, 22.12208333,\n",
              "       13.89      ,  6.629     ,  3.35825   , 16.43182353,  1.94347368,\n",
              "       15.21857143,  4.16434091,  7.66089655, 11.71455   ,  8.85592   ,\n",
              "       16.43182353])"
            ]
          },
          "execution_count": 367,
          "metadata": {},
          "output_type": "execute_result"
        }
      ],
      "source": [
        "# Imprimimos predicciones\n",
        "prediccion_dtr"
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "a9EnyTfYWTFv"
      },
      "source": [
        "#### Visualizar el error de predicciones"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": 368,
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 792
        },
        "id": "suZ1WT898bw-",
        "outputId": "5900ff91-8ecb-4809-faea-7297c3e154e5"
      },
      "outputs": [
        {
          "name": "stderr",
          "output_type": "stream",
          "text": [
            "/usr/local/lib/python3.10/dist-packages/sklearn/base.py:439: UserWarning: X does not have valid feature names, but DecisionTreeRegressor was fitted with feature names\n",
            "  warnings.warn(\n"
          ]
        },
        {
          "data": {
            "image/png": 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",
            "text/plain": [
              "<Figure size 800x800 with 1 Axes>"
            ]
          },
          "metadata": {},
          "output_type": "display_data"
        },
        {
          "data": {
            "text/plain": [
              "<Axes: title={'center': 'Prediction Error for DecisionTreeRegressor'}, xlabel='$y$', ylabel='$\\\\hat{y}$'>"
            ]
          },
          "execution_count": 368,
          "metadata": {},
          "output_type": "execute_result"
        }
      ],
      "source": [
        "from yellowbrick.regressor import PredictionError\n",
        "\n",
        "fig, ax = plt.subplots(figsize=(8, 8))\n",
        "pev = PredictionError(dtr)\n",
        "pev.fit(x_train, y_train)\n",
        "pev.score(x_test, y_test)\n",
        "pev.poof()"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": 369,
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "jOBCKbRc9B5x",
        "outputId": "e33d5b1a-92b1-47ec-9773-25a146272b77"
      },
      "outputs": [
        {
          "data": {
            "text/plain": [
              "0.9970209956128195"
            ]
          },
          "execution_count": 369,
          "metadata": {},
          "output_type": "execute_result"
        }
      ],
      "source": [
        "# Revisemos la métrica de r^2\n",
        "r2_score(y_test, prediccion_dtr)"
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "12E3rJucWlRn"
      },
      "source": [
        "#### Realicemos un análisis de relevancia"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": 370,
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 866
        },
        "id": "v9ZHzJzs-47e",
        "outputId": "a316f382-12e0-4600-c1e8-0358eda2192e"
      },
      "outputs": [
        {
          "data": {
            "image/png": 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",
            "text/plain": [
              "<Figure size 1000x800 with 1 Axes>"
            ]
          },
          "metadata": {},
          "output_type": "display_data"
        }
      ],
      "source": [
        "import numpy as np\n",
        "import matplotlib.pyplot as plt\n",
        "\n",
        "# Obteniendo la importancia de las características\n",
        "importancias = dtr.feature_importances_\n",
        "\n",
        "# Nombres de las características (asumiendo que x tiene nombres de columnas)\n",
        "nombres_caracteristicas = x.columns\n",
        "\n",
        "# Ordenamos las características por importancia (de mayor a menor)\n",
        "indices_ordenados = np.argsort(importancias)[::-1]\n",
        "\n",
        "# Visualización de la importancia de las características\n",
        "plt.figure(figsize=(10, 8))\n",
        "plt.title(\"Importancia de las Características\")\n",
        "plt.bar(range(x.shape[1]), importancias[indices_ordenados], color=\"b\", align=\"center\")\n",
        "\n",
        "# Añadir nombres de las características como etiquetas en el eje x\n",
        "plt.xticks(range(x.shape[1]), nombres_caracteristicas[indices_ordenados], rotation=90)\n",
        "\n",
        "plt.xlim([-1, x.shape[1]])\n",
        "plt.ylabel(\"Importancia\")\n",
        "plt.xlabel(\"Características\")\n",
        "\n",
        "plt.show()\n"
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "2jVTbD1kXSzQ"
      },
      "source": [
        "#### Entrenamiento Random Forest"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": 371,
      "metadata": {
        "id": "uF_7lto68i7l"
      },
      "outputs": [],
      "source": [
        "# Definamos el modelo a usar\n",
        "rf = RandomForestRegressor(random_state=42, max_depth=5, n_estimators=10)"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": 372,
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 75
        },
        "id": "TM1HkvdP8sms",
        "outputId": "62e18ab0-2471-48d3-ae36-a4ae3bca6bac"
      },
      "outputs": [
        {
          "data": {
            "text/html": [
              "<style>#sk-container-id-6 {color: black;background-color: white;}#sk-container-id-6 pre{padding: 0;}#sk-container-id-6 div.sk-toggleable {background-color: white;}#sk-container-id-6 label.sk-toggleable__label {cursor: pointer;display: block;width: 100%;margin-bottom: 0;padding: 0.3em;box-sizing: border-box;text-align: center;}#sk-container-id-6 label.sk-toggleable__label-arrow:before {content: \"▸\";float: left;margin-right: 0.25em;color: #696969;}#sk-container-id-6 label.sk-toggleable__label-arrow:hover:before {color: black;}#sk-container-id-6 div.sk-estimator:hover label.sk-toggleable__label-arrow:before {color: black;}#sk-container-id-6 div.sk-toggleable__content {max-height: 0;max-width: 0;overflow: hidden;text-align: left;background-color: #f0f8ff;}#sk-container-id-6 div.sk-toggleable__content pre {margin: 0.2em;color: black;border-radius: 0.25em;background-color: #f0f8ff;}#sk-container-id-6 input.sk-toggleable__control:checked~div.sk-toggleable__content {max-height: 200px;max-width: 100%;overflow: auto;}#sk-container-id-6 input.sk-toggleable__control:checked~label.sk-toggleable__label-arrow:before {content: \"▾\";}#sk-container-id-6 div.sk-estimator input.sk-toggleable__control:checked~label.sk-toggleable__label {background-color: #d4ebff;}#sk-container-id-6 div.sk-label input.sk-toggleable__control:checked~label.sk-toggleable__label {background-color: #d4ebff;}#sk-container-id-6 input.sk-hidden--visually {border: 0;clip: rect(1px 1px 1px 1px);clip: rect(1px, 1px, 1px, 1px);height: 1px;margin: -1px;overflow: hidden;padding: 0;position: absolute;width: 1px;}#sk-container-id-6 div.sk-estimator {font-family: monospace;background-color: #f0f8ff;border: 1px dotted black;border-radius: 0.25em;box-sizing: border-box;margin-bottom: 0.5em;}#sk-container-id-6 div.sk-estimator:hover {background-color: #d4ebff;}#sk-container-id-6 div.sk-parallel-item::after {content: \"\";width: 100%;border-bottom: 1px solid gray;flex-grow: 1;}#sk-container-id-6 div.sk-label:hover label.sk-toggleable__label {background-color: #d4ebff;}#sk-container-id-6 div.sk-serial::before {content: \"\";position: absolute;border-left: 1px solid gray;box-sizing: border-box;top: 0;bottom: 0;left: 50%;z-index: 0;}#sk-container-id-6 div.sk-serial {display: flex;flex-direction: column;align-items: center;background-color: white;padding-right: 0.2em;padding-left: 0.2em;position: relative;}#sk-container-id-6 div.sk-item {position: relative;z-index: 1;}#sk-container-id-6 div.sk-parallel {display: flex;align-items: stretch;justify-content: center;background-color: white;position: relative;}#sk-container-id-6 div.sk-item::before, #sk-container-id-6 div.sk-parallel-item::before {content: \"\";position: absolute;border-left: 1px solid gray;box-sizing: border-box;top: 0;bottom: 0;left: 50%;z-index: -1;}#sk-container-id-6 div.sk-parallel-item {display: flex;flex-direction: column;z-index: 1;position: relative;background-color: white;}#sk-container-id-6 div.sk-parallel-item:first-child::after {align-self: flex-end;width: 50%;}#sk-container-id-6 div.sk-parallel-item:last-child::after {align-self: flex-start;width: 50%;}#sk-container-id-6 div.sk-parallel-item:only-child::after {width: 0;}#sk-container-id-6 div.sk-dashed-wrapped {border: 1px dashed gray;margin: 0 0.4em 0.5em 0.4em;box-sizing: border-box;padding-bottom: 0.4em;background-color: white;}#sk-container-id-6 div.sk-label label {font-family: monospace;font-weight: bold;display: inline-block;line-height: 1.2em;}#sk-container-id-6 div.sk-label-container {text-align: center;}#sk-container-id-6 div.sk-container {/* jupyter's `normalize.less` sets `[hidden] { display: none; }` but bootstrap.min.css set `[hidden] { display: none !important; }` so we also need the `!important` here to be able to override the default hidden behavior on the sphinx rendered scikit-learn.org. See: https://github.com/scikit-learn/scikit-learn/issues/21755 */display: inline-block !important;position: relative;}#sk-container-id-6 div.sk-text-repr-fallback {display: none;}</style><div id=\"sk-container-id-6\" class=\"sk-top-container\"><div class=\"sk-text-repr-fallback\"><pre>RandomForestRegressor(max_depth=5, n_estimators=10, random_state=42)</pre><b>In a Jupyter environment, please rerun this cell to show the HTML representation or trust the notebook. <br />On GitHub, the HTML representation is unable to render, please try loading this page with nbviewer.org.</b></div><div class=\"sk-container\" hidden><div class=\"sk-item\"><div class=\"sk-estimator sk-toggleable\"><input class=\"sk-toggleable__control sk-hidden--visually\" id=\"sk-estimator-id-6\" type=\"checkbox\" checked><label for=\"sk-estimator-id-6\" class=\"sk-toggleable__label sk-toggleable__label-arrow\">RandomForestRegressor</label><div class=\"sk-toggleable__content\"><pre>RandomForestRegressor(max_depth=5, n_estimators=10, random_state=42)</pre></div></div></div></div></div>"
            ],
            "text/plain": [
              "RandomForestRegressor(max_depth=5, n_estimators=10, random_state=42)"
            ]
          },
          "execution_count": 372,
          "metadata": {},
          "output_type": "execute_result"
        }
      ],
      "source": [
        "# Entrenemos el modelo\n",
        "rf.fit(x_train, y_train)\n"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": 373,
      "metadata": {
        "id": "4CwCj8zn8uH8"
      },
      "outputs": [],
      "source": [
        "# Realicemos predicciones con el conjunto de test\n",
        "prediccion_rf = rf.predict(x_test)"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": 374,
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 792
        },
        "id": "v0mYQjto8wUs",
        "outputId": "daefffc7-bbc3-4630-8b77-d83ef53ca99d"
      },
      "outputs": [
        {
          "name": "stderr",
          "output_type": "stream",
          "text": [
            "/usr/local/lib/python3.10/dist-packages/sklearn/base.py:439: UserWarning: X does not have valid feature names, but RandomForestRegressor was fitted with feature names\n",
            "  warnings.warn(\n"
          ]
        },
        {
          "data": {
            "image/png": 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",
            "text/plain": [
              "<Figure size 800x800 with 1 Axes>"
            ]
          },
          "metadata": {},
          "output_type": "display_data"
        },
        {
          "data": {
            "text/plain": [
              "<Axes: title={'center': 'Prediction Error for RandomForestRegressor'}, xlabel='$y$', ylabel='$\\\\hat{y}$'>"
            ]
          },
          "execution_count": 374,
          "metadata": {},
          "output_type": "execute_result"
        }
      ],
      "source": [
        "# Revisemos la gráfica de error de predicción\n",
        "fig, ax = plt.subplots(figsize=(8, 8))\n",
        "pev = PredictionError(rf)\n",
        "pev.fit(x_train, y_train)\n",
        "pev.score(x_test, y_test)\n",
        "pev.poof()"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": 375,
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "TYuiUHLE8yjV",
        "outputId": "f7d70910-9025-4f38-c2ce-7e026a57f1ea"
      },
      "outputs": [
        {
          "data": {
            "text/plain": [
              "0.9989933865704962"
            ]
          },
          "execution_count": 375,
          "metadata": {},
          "output_type": "execute_result"
        }
      ],
      "source": [
        "# Analicemos la métrica de r^2\n",
        "r2_score(y_test, prediccion_rf)"
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "_YfuxvKGYBdd"
      },
      "source": [
        "#### Realicemos análisis de relevancia del modelo"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": 376,
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 866
        },
        "id": "S0TB6dnC89b6",
        "outputId": "1d4c38d4-415e-4e72-985b-f5b01fe8e4f1"
      },
      "outputs": [
        {
          "data": {
            "image/png": 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",
            "text/plain": [
              "<Figure size 1000x800 with 1 Axes>"
            ]
          },
          "metadata": {},
          "output_type": "display_data"
        }
      ],
      "source": [
        "import numpy as np\n",
        "import matplotlib.pyplot as plt\n",
        "\n",
        "# Obteniendo la importancia de las características\n",
        "importancias = rf.feature_importances_\n",
        "\n",
        "# Nombres de las características (asumiendo que x tiene nombres de columnas)\n",
        "nombres_caracteristicas = x.columns\n",
        "\n",
        "# Ordenamos las características por importancia (de mayor a menor)\n",
        "indices_ordenados = np.argsort(importancias)[::-1]\n",
        "\n",
        "# Visualización de la importancia de las características\n",
        "plt.figure(figsize=(10, 8))\n",
        "plt.title(\"Importancia de las Características\")\n",
        "plt.bar(range(x.shape[1]), importancias[indices_ordenados], color=\"b\", align=\"center\")\n",
        "\n",
        "# Añadir nombres de las características como etiquetas en el eje x\n",
        "plt.xticks(range(x.shape[1]), nombres_caracteristicas[indices_ordenados], rotation=90)\n",
        "\n",
        "plt.xlim([-1, x.shape[1]])\n",
        "plt.ylabel(\"Importancia\")\n",
        "plt.xlabel(\"Características\")\n",
        "\n",
        "plt.show()\n"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": 376,
      "metadata": {
        "id": "wL4iaobzAfxs"
      },
      "outputs": [],
      "source": []
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "Q9OW7ztPzH2u"
      },
      "source": [
        "## Actividad\n",
        "\n",
        "Probemos eliminando la variable con más relevancia de la base de datos y re-entrenemos los modelos para ver su comportamiento..."
      ]
    },
    {
      "cell_type": "code",
      "execution_count": null,
      "metadata": {
        "id": "mfbwZ7l-zbQW"
      },
      "outputs": [],
      "source": []
    }
  ],
  "metadata": {
    "colab": {
      "collapsed_sections": [
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        "6K7qYkGZIumC",
        "nMdry1ZEJwrV",
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        "PtTDbZboRYzK",
        "DfjV8_vmTgtP",
        "Rs1ydy0lTmun",
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        "a9EnyTfYWTFv",
        "12E3rJucWlRn",
        "2jVTbD1kXSzQ",
        "_YfuxvKGYBdd"
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      "provenance": [],
      "toc_visible": true
    },
    "kernelspec": {
      "display_name": "Python 3",
      "name": "python3"
    },
    "language_info": {
      "codemirror_mode": {
        "name": "ipython",
        "version": 3
      },
      "file_extension": ".py",
      "mimetype": "text/x-python",
      "name": "python",
      "nbconvert_exporter": "python",
      "pygments_lexer": "ipython3",
      "version": "3.11.7"
    }
  },
  "nbformat": 4,
  "nbformat_minor": 0
}