inmersion_datos_aula_1_ejercicio.ipynb

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      "cell_type": "markdown",
      "metadata": {
        "id": "view-in-github",
        "colab_type": "text"
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      "source": [
        "<a href=\"https://colab.research.google.com/github/JulioLaz/001-angular/blob/main/inmersion_datos_aula_1_ejercicio.ipynb\" target=\"_parent\"><img src=\"https://colab.research.google.com/assets/colab-badge.svg\" alt=\"Open In Colab\"/></a>"
      ]
    },
    {
      "cell_type": "markdown",
      "source": [
        "#Calcular el promedio de area para cada uno de los barrios y hacer grafico con top 10"
      ],
      "metadata": {
        "id": "Rrkj0cwz7Gis"
      }
    },
    {
      "cell_type": "code",
      "source": [
        "import pandas as pd"
      ],
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        "id": "iZ13LswLvs_S"
      },
      "execution_count": 1,
      "outputs": []
    },
    {
      "cell_type": "markdown",
      "source": [
        "##Abrir base de datos"
      ],
      "metadata": {
        "id": "kxJIx6Pk0Joy"
      }
    },
    {
      "cell_type": "code",
      "source": [
        "data=pd.read_csv('/content/drive/MyDrive/Colab Notebooks/inmuebles_bogota.csv')\n",
        "data.head(10)"
      ],
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        "id": "Xgc1qqH9wGCI",
        "outputId": "b300d154-302b-4128-a061-015022cb905a"
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              "          Tipo                                 Descripcion  Habitaciones  \\\n",
              "0  Apartamento  Apartamento en venta en Zona Noroccidental             3   \n",
              "1         Casa                   Casa en venta en Castilla             4   \n",
              "2  Apartamento     Apartamento en venta en Chico Reservado             3   \n",
              "3  Apartamento             Apartamento en venta en Usaquén             3   \n",
              "4  Apartamento         Apartamento en venta en Bella Suiza             2   \n",
              "5  Apartamento         Apartamento en venta en Bella Suiza             1   \n",
              "6  Apartamento         Apartamento en venta en Bella Suiza             1   \n",
              "7  Apartamento         Apartamento en venta en Bella Suiza             3   \n",
              "8  Apartamento            Apartamento en venta en El Chicó             3   \n",
              "9  Apartamento         Apartamento en venta en Bella Suiza             2   \n",
              "\n",
              "   Baños  Área              Barrio                                    UPZ  \\\n",
              "0      2    70  Zona Noroccidental     CHAPINERO: Pardo Rubio + Chapinero   \n",
              "1      3   170            Castilla            KENNEDY: Castilla + Bavaria   \n",
              "2      3   144     Chico Reservado     CHAPINERO: Chicó Lago + El Refugio   \n",
              "3      2   154             Usaquén                                Usaquén   \n",
              "4      3   128         Bella Suiza  USAQUÉN: Country Club + Santa Bárbara   \n",
              "5      2    62         Bella Suiza  USAQUÉN: Country Club + Santa Bárbara   \n",
              "6      2    62         Bella Suiza  USAQUÉN: Country Club + Santa Bárbara   \n",
              "7      4   212         Bella Suiza  USAQUÉN: Country Club + Santa Bárbara   \n",
              "8      2   159            El Chicó     CHAPINERO: Chicó Lago + El Refugio   \n",
              "9      2    80         Bella Suiza  USAQUÉN: Country Club + Santa Bárbara   \n",
              "\n",
              "             Valor  \n",
              "0    $ 360.000.000  \n",
              "1    $ 670.000.000  \n",
              "2  $ 1.120.000.000  \n",
              "3    $ 890.000.000  \n",
              "4    $ 970.000.000  \n",
              "5    $ 510.000.000  \n",
              "6    $ 500.000.000  \n",
              "7  $ 2.350.000.000  \n",
              "8    $ 850.000.000  \n",
              "9    $ 642.000.000  "
            ],
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              "      <th>Tipo</th>\n",
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              "      <th>Baños</th>\n",
              "      <th>Área</th>\n",
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              "      <th>0</th>\n",
              "      <td>Apartamento</td>\n",
              "      <td>Apartamento en venta en Zona Noroccidental</td>\n",
              "      <td>3</td>\n",
              "      <td>2</td>\n",
              "      <td>70</td>\n",
              "      <td>Zona Noroccidental</td>\n",
              "      <td>CHAPINERO: Pardo Rubio + Chapinero</td>\n",
              "      <td>$ 360.000.000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>1</th>\n",
              "      <td>Casa</td>\n",
              "      <td>Casa en venta en Castilla</td>\n",
              "      <td>4</td>\n",
              "      <td>3</td>\n",
              "      <td>170</td>\n",
              "      <td>Castilla</td>\n",
              "      <td>KENNEDY: Castilla + Bavaria</td>\n",
              "      <td>$ 670.000.000</td>\n",
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              "      <th>2</th>\n",
              "      <td>Apartamento</td>\n",
              "      <td>Apartamento en venta en Chico Reservado</td>\n",
              "      <td>3</td>\n",
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              "      <td>144</td>\n",
              "      <td>Chico Reservado</td>\n",
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              "      <td>$ 1.120.000.000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>3</th>\n",
              "      <td>Apartamento</td>\n",
              "      <td>Apartamento en venta en Usaquén</td>\n",
              "      <td>3</td>\n",
              "      <td>2</td>\n",
              "      <td>154</td>\n",
              "      <td>Usaquén</td>\n",
              "      <td>Usaquén</td>\n",
              "      <td>$ 890.000.000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>4</th>\n",
              "      <td>Apartamento</td>\n",
              "      <td>Apartamento en venta en Bella Suiza</td>\n",
              "      <td>2</td>\n",
              "      <td>3</td>\n",
              "      <td>128</td>\n",
              "      <td>Bella Suiza</td>\n",
              "      <td>USAQUÉN: Country Club + Santa Bárbara</td>\n",
              "      <td>$ 970.000.000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>5</th>\n",
              "      <td>Apartamento</td>\n",
              "      <td>Apartamento en venta en Bella Suiza</td>\n",
              "      <td>1</td>\n",
              "      <td>2</td>\n",
              "      <td>62</td>\n",
              "      <td>Bella Suiza</td>\n",
              "      <td>USAQUÉN: Country Club + Santa Bárbara</td>\n",
              "      <td>$ 510.000.000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>6</th>\n",
              "      <td>Apartamento</td>\n",
              "      <td>Apartamento en venta en Bella Suiza</td>\n",
              "      <td>1</td>\n",
              "      <td>2</td>\n",
              "      <td>62</td>\n",
              "      <td>Bella Suiza</td>\n",
              "      <td>USAQUÉN: Country Club + Santa Bárbara</td>\n",
              "      <td>$ 500.000.000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>7</th>\n",
              "      <td>Apartamento</td>\n",
              "      <td>Apartamento en venta en Bella Suiza</td>\n",
              "      <td>3</td>\n",
              "      <td>4</td>\n",
              "      <td>212</td>\n",
              "      <td>Bella Suiza</td>\n",
              "      <td>USAQUÉN: Country Club + Santa Bárbara</td>\n",
              "      <td>$ 2.350.000.000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>8</th>\n",
              "      <td>Apartamento</td>\n",
              "      <td>Apartamento en venta en El Chicó</td>\n",
              "      <td>3</td>\n",
              "      <td>2</td>\n",
              "      <td>159</td>\n",
              "      <td>El Chicó</td>\n",
              "      <td>CHAPINERO: Chicó Lago + El Refugio</td>\n",
              "      <td>$ 850.000.000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>9</th>\n",
              "      <td>Apartamento</td>\n",
              "      <td>Apartamento en venta en Bella Suiza</td>\n",
              "      <td>2</td>\n",
              "      <td>2</td>\n",
              "      <td>80</td>\n",
              "      <td>Bella Suiza</td>\n",
              "      <td>USAQUÉN: Country Club + Santa Bárbara</td>\n",
              "      <td>$ 642.000.000</td>\n",
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          "metadata": {},
          "execution_count": 2
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      ]
    },
    {
      "cell_type": "code",
      "source": [
        "data.shape"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "Qu8tpwp1wRkJ",
        "outputId": "4f0c4237-ffe0-490e-a321-5cfd2aba64a3"
      },
      "execution_count": 3,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "(9520, 8)"
            ]
          },
          "metadata": {},
          "execution_count": 3
        }
      ]
    },
    {
      "cell_type": "markdown",
      "source": [
        "#RENOMBRAR COLUMNAS"
      ],
      "metadata": {
        "id": "NW9XC17cyur8"
      }
    },
    {
      "cell_type": "code",
      "source": [
        "columnas_dict={'Baños':'Banos', 'Área':'Area'}\n",
        "data=data.rename(columns=columnas_dict)\n",
        "data.head()"
      ],
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        "colab": {
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          "height": 206
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        "id": "khSaNdHcyPMO",
        "outputId": "a004727b-dc7a-4773-a426-3f619d223996"
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      "execution_count": 4,
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            "text/plain": [
              "          Tipo                                 Descripcion  Habitaciones  \\\n",
              "0  Apartamento  Apartamento en venta en Zona Noroccidental             3   \n",
              "1         Casa                   Casa en venta en Castilla             4   \n",
              "2  Apartamento     Apartamento en venta en Chico Reservado             3   \n",
              "3  Apartamento             Apartamento en venta en Usaquén             3   \n",
              "4  Apartamento         Apartamento en venta en Bella Suiza             2   \n",
              "\n",
              "   Banos  Area              Barrio                                    UPZ  \\\n",
              "0      2    70  Zona Noroccidental     CHAPINERO: Pardo Rubio + Chapinero   \n",
              "1      3   170            Castilla            KENNEDY: Castilla + Bavaria   \n",
              "2      3   144     Chico Reservado     CHAPINERO: Chicó Lago + El Refugio   \n",
              "3      2   154             Usaquén                                Usaquén   \n",
              "4      3   128         Bella Suiza  USAQUÉN: Country Club + Santa Bárbara   \n",
              "\n",
              "             Valor  \n",
              "0    $ 360.000.000  \n",
              "1    $ 670.000.000  \n",
              "2  $ 1.120.000.000  \n",
              "3    $ 890.000.000  \n",
              "4    $ 970.000.000  "
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              "      <th>Tipo</th>\n",
              "      <th>Descripcion</th>\n",
              "      <th>Habitaciones</th>\n",
              "      <th>Banos</th>\n",
              "      <th>Area</th>\n",
              "      <th>Barrio</th>\n",
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              "      <th>0</th>\n",
              "      <td>Apartamento</td>\n",
              "      <td>Apartamento en venta en Zona Noroccidental</td>\n",
              "      <td>3</td>\n",
              "      <td>2</td>\n",
              "      <td>70</td>\n",
              "      <td>Zona Noroccidental</td>\n",
              "      <td>CHAPINERO: Pardo Rubio + Chapinero</td>\n",
              "      <td>$ 360.000.000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>1</th>\n",
              "      <td>Casa</td>\n",
              "      <td>Casa en venta en Castilla</td>\n",
              "      <td>4</td>\n",
              "      <td>3</td>\n",
              "      <td>170</td>\n",
              "      <td>Castilla</td>\n",
              "      <td>KENNEDY: Castilla + Bavaria</td>\n",
              "      <td>$ 670.000.000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>2</th>\n",
              "      <td>Apartamento</td>\n",
              "      <td>Apartamento en venta en Chico Reservado</td>\n",
              "      <td>3</td>\n",
              "      <td>3</td>\n",
              "      <td>144</td>\n",
              "      <td>Chico Reservado</td>\n",
              "      <td>CHAPINERO: Chicó Lago + El Refugio</td>\n",
              "      <td>$ 1.120.000.000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>3</th>\n",
              "      <td>Apartamento</td>\n",
              "      <td>Apartamento en venta en Usaquén</td>\n",
              "      <td>3</td>\n",
              "      <td>2</td>\n",
              "      <td>154</td>\n",
              "      <td>Usaquén</td>\n",
              "      <td>Usaquén</td>\n",
              "      <td>$ 890.000.000</td>\n",
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              "      <th>4</th>\n",
              "      <td>Apartamento</td>\n",
              "      <td>Apartamento en venta en Bella Suiza</td>\n",
              "      <td>2</td>\n",
              "      <td>3</td>\n",
              "      <td>128</td>\n",
              "      <td>Bella Suiza</td>\n",
              "      <td>USAQUÉN: Country Club + Santa Bárbara</td>\n",
              "      <td>$ 970.000.000</td>\n",
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            ]
          },
          "metadata": {},
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      ]
    },
    {
      "cell_type": "markdown",
      "source": [
        "##Crear lista con nombres de los barrios:"
      ],
      "metadata": {
        "id": "vYhG6AGf1v5H"
      }
    },
    {
      "cell_type": "code",
      "source": [
        "data.Barrio.value_counts()\n",
        "serie_datos=data.Barrio.value_counts()\n",
        "list_barrios = serie_datos.index.values\n",
        "list_barrios"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "w73mq0fwC0v_",
        "outputId": "008ebdfe-0d25-42df-fea8-eb7bfb9845f9"
      },
      "execution_count": 5,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "array(['Usaquén', 'Zona Noroccidental', 'Bosa', 'Kennedy', 'Cedritos',\n",
              "       'Barrios Unidos', 'Engativa', 'Suba', 'Santa Barbara', 'Chapinero',\n",
              "       'Fontibón', 'Chico Reservado', 'Teusaquillo', 'El Batán',\n",
              "       'Puente Aranda', 'San Patricio', 'Tintala', 'Bella Suiza',\n",
              "       'Los Rosales', 'Chico Norte', 'Santa Fe', 'Ciudad Bolívar',\n",
              "       'La Calleja', 'Mazuren', 'El Chicó', 'Rafael Uribe Uribe',\n",
              "       'Portales Del Norte', 'Ciudad Salitre', 'Gran Granada',\n",
              "       'Quinta Paredes', 'Usme', 'Antonio Nariño', 'Cantagallo',\n",
              "       'Chapinero Central', 'Pasadena ', 'Modelia', 'Colina Campestre',\n",
              "       'San Cristobal', 'Los Mártires', 'Las Nieves',\n",
              "       'Nicolas De Federman', 'Chapinero Alto', 'Villa Alsacia',\n",
              "       'La Candelaria', 'El Plan', 'Puente Largo', 'Castilla',\n",
              "       'Tunjuelito', 'Madelena', 'Hayuelos', 'Santa Paula', 'Normandia',\n",
              "       'El Contador', 'Villas De Granada', 'Nueva Autopista',\n",
              "       'Quinta Camacho', 'Niza', 'Mirandela ', 'El Retiro', 'Marly',\n",
              "       'Villemar', 'Alhambra', 'El Refugio', 'Lagos De Cordoba',\n",
              "       'Palermo', 'San Luis', 'Barrancas', 'Santa Teresa',\n",
              "       'Nueva Zelandia', 'Ciudadela Colsubsidio', 'Sotavento',\n",
              "       'Bogotá D.C', 'Boyaca ', 'Villa Maria', 'La Salle',\n",
              "       'Chico Navarra', 'Gran America', 'Salitre ', 'La Uribe',\n",
              "       'Pinar De Suba', 'Restrepo', 'Capellania', 'Metropolis',\n",
              "       'Parque Central Bavaria', 'Las Villas', 'Pontevedra ', 'Quirigua',\n",
              "       'La Soledad ', 'Costa Azul', 'Ciudad Berna', 'Santa Ana',\n",
              "       'Andes Norte', 'Veraguas', 'Verbenal', 'San Diego', 'El Virrey',\n",
              "       'Galicia', 'Las Aguas', 'Ricaurte', 'La Granja', 'La Estancia',\n",
              "       'San Antonio Norte', 'Bosque Popular', 'Bellavista Occidental',\n",
              "       'El Salitre', 'Galerias', 'Libertador', 'Venecia', 'El Castillo',\n",
              "       'Bochica', 'Las Delicias', 'San Cipriano', 'Los Lagartos',\n",
              "       'Nueva Castilla', 'La Sabana', 'Bosque De Pinos', 'Patio Bonito',\n",
              "       'Candelaria La Nueva', 'Chico Norte Ii', 'Quiroga',\n",
              "       'Cerros De Suba', 'El Progreso', 'Ingles', 'Las Cruces',\n",
              "       'Turingia', 'Gratamira', 'Gustavo Restrepo', 'Santa Librada',\n",
              "       'Eduardo Santos', 'La Merced', 'Bosa Piamonte', 'Bosa Porvenir',\n",
              "       'Estrada', 'Buenos Aires', 'Las Ferias', 'Timiza', 'Casablanca',\n",
              "       'Florencia', 'Santa Maria Del Lago', 'El Tunal', 'Florida Blanca',\n",
              "       'La Macarena', 'Zona Franca', 'Lago De Suba', 'Colinas De Suba',\n",
              "       'La Estanzuela', 'Roma', 'Alameda', 'Prado Veraniego'],\n",
              "      dtype=object)"
            ]
          },
          "metadata": {},
          "execution_count": 5
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "# Cantidad de Barrios\n",
        "len(list_barrios)"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "2X5EvAk1ZrF4",
        "outputId": "e4848f85-3627-498a-90b3-730e2f754414"
      },
      "execution_count": 6,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "149"
            ]
          },
          "metadata": {},
          "execution_count": 6
        }
      ]
    },
    {
      "cell_type": "markdown",
      "source": [
        "##Calculo el promedio de area por barrio y crear lista de pormedios de areas"
      ],
      "metadata": {
        "id": "jivx3j9ay28W"
      }
    },
    {
      "cell_type": "code",
      "source": [
        "#Calculo n: cantidad de barrios \n",
        "n = len(list_barrios)-1\n",
        "lista_prom = [] # Crear una lista vacía\n",
        "#ciclo for de 0 a n:\n",
        "for i in range(n+1):\n",
        "  area_promedio= data[(data.Barrio==serie_datos.index[i])].Area.mean().round(1)\n",
        "  #Lista con los promedios por barrio:\n",
        "  lista_prom.append(area_promedio)"
      ],
      "metadata": {
        "id": "Jg7tkuHu7KYI"
      },
      "execution_count": 7,
      "outputs": []
    },
    {
      "cell_type": "code",
      "source": [
        "lista_prom\n"
      ],
      "metadata": {
        "colab": {
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        },
        "id": "w98m-KEnFMMT",
        "outputId": "3ee07776-cfba-4188-91b9-a83eed79405b"
      },
      "execution_count": 8,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
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          "metadata": {},
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    },
    {
      "cell_type": "markdown",
      "source": [
        "##Crear DataFrame con barrios y promedios de areas:"
      ],
      "metadata": {
        "id": "WDcldKXR3ofY"
      }
    },
    {
      "cell_type": "code",
      "source": [
        "# Crea un diccionario con los datos\n",
        "\n",
        "#Area_Promedio=lista_prom\n",
        "datos = {'Area Promedio':lista_prom}\n",
        "\n",
        "# Crea el dataframe a partir del diccionario y coloco por index la lista de barrios:list_barrios\n",
        "df_barrios_area = pd.DataFrame(datos,index=list_barrios)\n",
        "\n",
        "df_barrios_area.index.name='Barrio'\n",
        "df_barrios_area"
      ],
      "metadata": {
        "colab": {
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          "height": 455
        },
        "id": "5Qr6HSpWCuGh",
        "outputId": "7bb0bc93-2f01-477a-8635-e7a096375c99"
      },
      "execution_count": 9,
      "outputs": [
        {
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              "                    Area Promedio\n",
              "Barrio                           \n",
              "Usaquén                     134.0\n",
              "Zona Noroccidental          135.8\n",
              "Bosa                         59.2\n",
              "Kennedy                     104.4\n",
              "Cedritos                     97.0\n",
              "...                           ...\n",
              "Colinas De Suba              80.0\n",
              "La Estanzuela                46.0\n",
              "Roma                        260.0\n",
              "Alameda                      97.0\n",
              "Prado Veraniego              25.0\n",
              "\n",
              "[149 rows x 1 columns]"
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              "          const docLinkHtml = 'Like what you see? Visit the ' +\n",
              "            '<a target=\"_blank\" href=https://colab.research.google.com/notebooks/data_table.ipynb>data table notebook</a>'\n",
              "            + ' to learn more about interactive tables.';\n",
              "          element.innerHTML = '';\n",
              "          dataTable['output_type'] = 'display_data';\n",
              "          await google.colab.output.renderOutput(dataTable, element);\n",
              "          const docLink = document.createElement('div');\n",
              "          docLink.innerHTML = docLinkHtml;\n",
              "          element.appendChild(docLink);\n",
              "        }\n",
              "      </script>\n",
              "    </div>\n",
              "  </div>\n",
              "  "
            ]
          },
          "metadata": {},
          "execution_count": 9
        }
      ]
    },
    {
      "cell_type": "markdown",
      "source": [
        "##Ordenar en orden descendiente"
      ],
      "metadata": {
        "id": "GRbHb4ppRxqY"
      }
    },
    {
      "cell_type": "code",
      "source": [
        "df_area_prom_x_barrio = df_barrios_area.sort_values(by='Area Promedio', ascending=False)\n",
        "df_area_prom_x_barrio"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 455
        },
        "id": "9f2lsVPnLpSz",
        "outputId": "ad5ac9b8-b321-4501-fcf9-7520c6ecc4a0"
      },
      "execution_count": 10,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "                 Area Promedio\n",
              "Barrio                        \n",
              "Modelia                 4316.8\n",
              "Libertador               642.0\n",
              "Bosa Piamonte            400.0\n",
              "La Soledad               378.6\n",
              "Restrepo                 336.5\n",
              "...                        ...\n",
              "El Tunal                  41.0\n",
              "La Merced                 41.0\n",
              "San Diego                 40.7\n",
              "La Macarena               37.0\n",
              "Prado Veraniego           25.0\n",
              "\n",
              "[149 rows x 1 columns]"
            ],
            "text/html": [
              "\n",
              "  <div id=\"df-a0310484-e5fb-4ea3-bdba-ab6369ea0cac\">\n",
              "    <div 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>Area Promedio</th>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>Barrio</th>\n",
              "      <th></th>\n",
              "    </tr>\n",
              "  </thead>\n",
              "  <tbody>\n",
              "    <tr>\n",
              "      <th>Modelia</th>\n",
              "      <td>4316.8</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>Libertador</th>\n",
              "      <td>642.0</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>Bosa Piamonte</th>\n",
              "      <td>400.0</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>La Soledad</th>\n",
              "      <td>378.6</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>Restrepo</th>\n",
              "      <td>336.5</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>...</th>\n",
              "      <td>...</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>El Tunal</th>\n",
              "      <td>41.0</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>La Merced</th>\n",
              "      <td>41.0</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>San Diego</th>\n",
              "      <td>40.7</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>La Macarena</th>\n",
              "      <td>37.0</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>Prado Veraniego</th>\n",
              "      <td>25.0</td>\n",
              "    </tr>\n",
              "  </tbody>\n",
              "</table>\n",
              "<p>149 rows × 1 columns</p>\n",
              "</div>\n",
              "      <button class=\"colab-df-convert\" onclick=\"convertToInteractive('df-a0310484-e5fb-4ea3-bdba-ab6369ea0cac')\"\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 0 24 24\"\n",
              "       width=\"24px\">\n",
              "    <path d=\"M0 0h24v24H0V0z\" fill=\"none\"/>\n",
              "    <path d=\"M18.56 5.44l.94 2.06.94-2.06 2.06-.94-2.06-.94-.94-2.06-.94 2.06-2.06.94zm-11 1L8.5 8.5l.94-2.06 2.06-.94-2.06-.94L8.5 2.5l-.94 2.06-2.06.94zm10 10l.94 2.06.94-2.06 2.06-.94-2.06-.94-.94-2.06-.94 2.06-2.06.94z\"/><path d=\"M17.41 7.96l-1.37-1.37c-.4-.4-.92-.59-1.43-.59-.52 0-1.04.2-1.43.59L10.3 9.45l-7.72 7.72c-.78.78-.78 2.05 0 2.83L4 21.41c.39.39.9.59 1.41.59.51 0 1.02-.2 1.41-.59l7.78-7.78 2.81-2.81c.8-.78.8-2.07 0-2.86zM5.41 20L4 18.59l7.72-7.72 1.47 1.35L5.41 20z\"/>\n",
              "  </svg>\n",
              "      </button>\n",
              "      \n",
              "  <style>\n",
              "    .colab-df-container {\n",
              "      display:flex;\n",
              "      flex-wrap:wrap;\n",
              "      gap: 12px;\n",
              "    }\n",
              "\n",
              "    .colab-df-convert {\n",
              "      background-color: #E8F0FE;\n",
              "      border: none;\n",
              "      border-radius: 50%;\n",
              "      cursor: pointer;\n",
              "      display: none;\n",
              "      fill: #1967D2;\n",
              "      height: 32px;\n",
              "      padding: 0 0 0 0;\n",
              "      width: 32px;\n",
              "    }\n",
              "\n",
              "    .colab-df-convert:hover {\n",
              "      background-color: #E2EBFA;\n",
              "      box-shadow: 0px 1px 2px rgba(60, 64, 67, 0.3), 0px 1px 3px 1px rgba(60, 64, 67, 0.15);\n",
              "      fill: #174EA6;\n",
              "    }\n",
              "\n",
              "    [theme=dark] .colab-df-convert {\n",
              "      background-color: #3B4455;\n",
              "      fill: #D2E3FC;\n",
              "    }\n",
              "\n",
              "    [theme=dark] .colab-df-convert:hover {\n",
              "      background-color: #434B5C;\n",
              "      box-shadow: 0px 1px 3px 1px rgba(0, 0, 0, 0.15);\n",
              "      filter: drop-shadow(0px 1px 2px rgba(0, 0, 0, 0.3));\n",
              "      fill: #FFFFFF;\n",
              "    }\n",
              "  </style>\n",
              "\n",
              "      <script>\n",
              "        const buttonEl =\n",
              "          document.querySelector('#df-a0310484-e5fb-4ea3-bdba-ab6369ea0cac 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-a0310484-e5fb-4ea3-bdba-ab6369ea0cac');\n",
              "          const dataTable =\n",
              "            await google.colab.kernel.invokeFunction('convertToInteractive',\n",
              "                                                     [key], {});\n",
              "          if (!dataTable) return;\n",
              "\n",
              "          const docLinkHtml = 'Like what you see? Visit the ' +\n",
              "            '<a target=\"_blank\" href=https://colab.research.google.com/notebooks/data_table.ipynb>data table notebook</a>'\n",
              "            + ' to learn more about interactive tables.';\n",
              "          element.innerHTML = '';\n",
              "          dataTable['output_type'] = 'display_data';\n",
              "          await google.colab.output.renderOutput(dataTable, element);\n",
              "          const docLink = document.createElement('div');\n",
              "          docLink.innerHTML = docLinkHtml;\n",
              "          element.appendChild(docLink);\n",
              "        }\n",
              "      </script>\n",
              "    </div>\n",
              "  </div>\n",
              "  "
            ]
          },
          "metadata": {},
          "execution_count": 10
        }
      ]
    },
    {
      "cell_type": "markdown",
      "source": [
        "###!!!  ERROR EN BARRIO MODELIA.\n",
        "El area promedio 4316.8 es un valor fuera de lugar.\n",
        "\n",
        "\n",
        "Entonces tengo que hacer una correccion  !!!"
      ],
      "metadata": {
        "id": "a1jM_BJ-YQoy"
      }
    },
    {
      "cell_type": "code",
      "source": [
        "#En la grafica se nota con claridad el error\n",
        "df_area_prom_x_barrio.head(10).plot.bar();"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 375
        },
        "id": "Rt4MeT84FgZr",
        "outputId": "66c9fef8-13e5-413b-866c-9509f513a06a"
      },
      "execution_count": 11,
      "outputs": [
        {
          "output_type": "display_data",
          "data": {
            "text/plain": [
              "<Figure size 432x288 with 1 Axes>"
            ],
            "image/png": 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          },
          "metadata": {
            "needs_background": "light"
          }
        }
      ]
    },
    {
      "cell_type": "markdown",
      "source": [
        "# Inicio trabajo de correccion"
      ],
      "metadata": {
        "id": "vanUH0VhePcz"
      }
    },
    {
      "cell_type": "markdown",
      "source": [
        "##Busco en barrio Modelia el index con error de area:"
      ],
      "metadata": {
        "id": "B4EeXU8Kex0e"
      }
    },
    {
      "cell_type": "markdown",
      "source": [
        "##El index=7073 tiene un error en el area"
      ],
      "metadata": {
        "id": "B5HWpr8ZPagE"
      }
    },
    {
      "cell_type": "code",
      "source": [
        "data.iloc[7073]"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "xywMhhAP6NXg",
        "outputId": "c6c28393-1d6e-4543-ea24-7526de9c495c"
      },
      "execution_count": 12,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "Tipo                                Casa\n",
              "Descripcion     Casa en venta en Modelia\n",
              "Habitaciones                           4\n",
              "Banos                                  3\n",
              "Area                              166243\n",
              "Barrio                           Modelia\n",
              "UPZ                             Fontibón\n",
              "Valor                      $ 850.000.000\n",
              "Name: 7073, dtype: object"
            ]
          },
          "metadata": {},
          "execution_count": 12
        }
      ]
    },
    {
      "cell_type": "markdown",
      "source": [
        "##busco en Barrio \"Modelia\" con las condiciones:\n",
        "\n",
        "Casa con 4 habitaciones y 3 banos y luego calcule el promedio de area"
      ],
      "metadata": {
        "id": "XWwpGJnqQ4HG"
      }
    },
    {
      "cell_type": "code",
      "source": [
        "filas_4habitaciones_3banos_casa = data.loc[(data['Barrio'].isin(['Modelia']))&(data['Habitaciones'].isin([4]))&(data['Banos'].isin([3]))&(data['Tipo'].isin(['Casa']))]"
      ],
      "metadata": {
        "id": "hXNZzRLkTQHT"
      },
      "execution_count": 13,
      "outputs": []
    },
    {
      "cell_type": "code",
      "source": [
        "filas_4habitaciones_3banos_casa"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 143
        },
        "id": "ZwOT1JVUT8ey",
        "outputId": "67d37dc4-63e8-41f8-ac84-18805eab0c35"
      },
      "execution_count": 14,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "      Tipo               Descripcion  Habitaciones  Banos    Area   Barrio  \\\n",
              "6315  Casa  Casa en venta en Modelia             4      3     209  Modelia   \n",
              "6619  Casa  Casa en venta en Modelia             4      3     209  Modelia   \n",
              "7073  Casa  Casa en venta en Modelia             4      3  166243  Modelia   \n",
              "\n",
              "           UPZ          Valor  \n",
              "6315  Fontibón  $ 850.000.000  \n",
              "6619  Fontibón  $ 850.000.000  \n",
              "7073  Fontibón  $ 850.000.000  "
            ],
            "text/html": [
              "\n",
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              "    <div class=\"colab-df-container\">\n",
              "      <div>\n",
              "<style scoped>\n",
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              "\n",
              "        async function convertToInteractive(key) {\n",
              "          const element = document.querySelector('#df-9bd31ba8-3782-4522-89c2-47f8d3da8033');\n",
              "          const dataTable =\n",
              "            await google.colab.kernel.invokeFunction('convertToInteractive',\n",
              "                                                     [key], {});\n",
              "          if (!dataTable) return;\n",
              "\n",
              "          const docLinkHtml = 'Like what you see? Visit the ' +\n",
              "            '<a target=\"_blank\" href=https://colab.research.google.com/notebooks/data_table.ipynb>data table notebook</a>'\n",
              "            + ' to learn more about interactive tables.';\n",
              "          element.innerHTML = '';\n",
              "          dataTable['output_type'] = 'display_data';\n",
              "          await google.colab.output.renderOutput(dataTable, element);\n",
              "          const docLink = document.createElement('div');\n",
              "          docLink.innerHTML = docLinkHtml;\n",
              "          element.appendChild(docLink);\n",
              "        }\n",
              "      </script>\n",
              "    </div>\n",
              "  </div>\n",
              "  "
            ]
          },
          "metadata": {},
          "execution_count": 14
        }
      ]
    },
    {
      "cell_type": "markdown",
      "source": [
        "##Separo por tipo"
      ],
      "metadata": {
        "id": "IpVSNy8-SbMc"
      }
    },
    {
      "cell_type": "markdown",
      "source": [
        "##elimino el index 7073 del df: filas_4hab_3banos_casa. para calcular mean()"
      ],
      "metadata": {
        "id": "JfiJMDviRbyj"
      }
    },
    {
      "cell_type": "code",
      "source": [
        "filas_4hab_3banos_casa=filas_4habitaciones_3banos_casa.drop(7073)\n",
        "filas_4hab_3banos_casa"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 112
        },
        "id": "Gwf2vYvDRQzL",
        "outputId": "988130ee-460b-4718-c73e-edcd16bd71bc"
      },
      "execution_count": 15,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "      Tipo               Descripcion  Habitaciones  Banos  Area   Barrio  \\\n",
              "6315  Casa  Casa en venta en Modelia             4      3   209  Modelia   \n",
              "6619  Casa  Casa en venta en Modelia             4      3   209  Modelia   \n",
              "\n",
              "           UPZ          Valor  \n",
              "6315  Fontibón  $ 850.000.000  \n",
              "6619  Fontibón  $ 850.000.000  "
            ],
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              "\n",
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              "      <th></th>\n",
              "      <th>Tipo</th>\n",
              "      <th>Descripcion</th>\n",
              "      <th>Habitaciones</th>\n",
              "      <th>Banos</th>\n",
              "      <th>Area</th>\n",
              "      <th>Barrio</th>\n",
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              "  </thead>\n",
              "  <tbody>\n",
              "    <tr>\n",
              "      <th>6315</th>\n",
              "      <td>Casa</td>\n",
              "      <td>Casa en venta en Modelia</td>\n",
              "      <td>4</td>\n",
              "      <td>3</td>\n",
              "      <td>209</td>\n",
              "      <td>Modelia</td>\n",
              "      <td>Fontibón</td>\n",
              "      <td>$ 850.000.000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>6619</th>\n",
              "      <td>Casa</td>\n",
              "      <td>Casa en venta en Modelia</td>\n",
              "      <td>4</td>\n",
              "      <td>3</td>\n",
              "      <td>209</td>\n",
              "      <td>Modelia</td>\n",
              "      <td>Fontibón</td>\n",
              "      <td>$ 850.000.000</td>\n",
              "    </tr>\n",
              "  </tbody>\n",
              "</table>\n",
              "</div>\n",
              "      <button class=\"colab-df-convert\" onclick=\"convertToInteractive('df-df73c8a2-0f8e-45cc-a79c-51a32702e9eb')\"\n",
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              "        \n",
              "  <svg xmlns=\"http://www.w3.org/2000/svg\" height=\"24px\"viewBox=\"0 0 24 24\"\n",
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              "      padding: 0 0 0 0;\n",
              "      width: 32px;\n",
              "    }\n",
              "\n",
              "    .colab-df-convert:hover {\n",
              "      background-color: #E2EBFA;\n",
              "      box-shadow: 0px 1px 2px rgba(60, 64, 67, 0.3), 0px 1px 3px 1px rgba(60, 64, 67, 0.15);\n",
              "      fill: #174EA6;\n",
              "    }\n",
              "\n",
              "    [theme=dark] .colab-df-convert {\n",
              "      background-color: #3B4455;\n",
              "      fill: #D2E3FC;\n",
              "    }\n",
              "\n",
              "    [theme=dark] .colab-df-convert:hover {\n",
              "      background-color: #434B5C;\n",
              "      box-shadow: 0px 1px 3px 1px rgba(0, 0, 0, 0.15);\n",
              "      filter: drop-shadow(0px 1px 2px rgba(0, 0, 0, 0.3));\n",
              "      fill: #FFFFFF;\n",
              "    }\n",
              "  </style>\n",
              "\n",
              "      <script>\n",
              "        const buttonEl =\n",
              "          document.querySelector('#df-df73c8a2-0f8e-45cc-a79c-51a32702e9eb 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-df73c8a2-0f8e-45cc-a79c-51a32702e9eb');\n",
              "          const dataTable =\n",
              "            await google.colab.kernel.invokeFunction('convertToInteractive',\n",
              "                                                     [key], {});\n",
              "          if (!dataTable) return;\n",
              "\n",
              "          const docLinkHtml = 'Like what you see? Visit the ' +\n",
              "            '<a target=\"_blank\" href=https://colab.research.google.com/notebooks/data_table.ipynb>data table notebook</a>'\n",
              "            + ' to learn more about interactive tables.';\n",
              "          element.innerHTML = '';\n",
              "          dataTable['output_type'] = 'display_data';\n",
              "          await google.colab.output.renderOutput(dataTable, element);\n",
              "          const docLink = document.createElement('div');\n",
              "          docLink.innerHTML = docLinkHtml;\n",
              "          element.appendChild(docLink);\n",
              "        }\n",
              "      </script>\n",
              "    </div>\n",
              "  </div>\n",
              "  "
            ]
          },
          "metadata": {},
          "execution_count": 15
        }
      ]
    },
    {
      "cell_type": "markdown",
      "source": [
        "##CALCULO EL PROMEDI0\n",
        "\n",
        "> Aunque es evidente que la media es 209, pero el metodo es este:\n",
        "\n"
      ],
      "metadata": {
        "id": "YZgAxjnQSARX"
      }
    },
    {
      "cell_type": "code",
      "source": [
        "filas_4hab_3banos_casa.Area.mean()"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "JuZrideHSGpj",
        "outputId": "a5636047-9e86-46e6-acf8-fe30a9ce26d8"
      },
      "execution_count": 16,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "209.0"
            ]
          },
          "metadata": {},
          "execution_count": 16
        }
      ]
    },
    {
      "cell_type": "markdown",
      "source": [
        "##Modifico DF original al index 7073 con area = 209"
      ],
      "metadata": {
        "id": "geO1eKJVTEiL"
      }
    },
    {
      "cell_type": "code",
      "source": [
        "data_new=data\n",
        "data_new.at[7073, 'Area'] = 209\n",
        "data_new.iloc[7073]"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "aW793nxUUSY8",
        "outputId": "9dfbe9fa-bcf1-43f2-d79e-f912636bd0c9"
      },
      "execution_count": 17,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "Tipo                                Casa\n",
              "Descripcion     Casa en venta en Modelia\n",
              "Habitaciones                           4\n",
              "Banos                                  3\n",
              "Area                                 209\n",
              "Barrio                           Modelia\n",
              "UPZ                             Fontibón\n",
              "Valor                      $ 850.000.000\n",
              "Name: 7073, dtype: object"
            ]
          },
          "metadata": {},
          "execution_count": 17
        }
      ]
    },
    {
      "cell_type": "markdown",
      "source": [
        "##NUEVO DataFrame con barrios y promedios de areas corregidos:"
      ],
      "metadata": {
        "id": "bqKsQZDxlEsM"
      }
    },
    {
      "cell_type": "markdown",
      "source": [
        "##Calculo el promedio de area por barrio y crear lista de pormedios de areas"
      ],
      "metadata": {
        "id": "zgqmBTNPllJR"
      }
    },
    {
      "cell_type": "code",
      "source": [
        "#Calculo n: cantidad de barrios \n",
        "n = len(list_barrios)-1\n",
        "lista_prom = [] # Crear una lista vacía\n",
        "#ciclo for de 0 a n:\n",
        "for i in range(n+1):\n",
        "  area_promedio= data_new[(data_new.Barrio==serie_datos.index[i])].Area.mean().round(1)\n",
        "  #Lista con los promedios por barrio:\n",
        "  lista_prom.append(area_promedio)"
      ],
      "metadata": {
        "id": "QXX-JmXvllJR"
      },
      "execution_count": 18,
      "outputs": []
    },
    {
      "cell_type": "code",
      "source": [
        "# Crea un diccionario con los datos\n",
        "\n",
        "#Area_Promedio=lista_prom\n",
        "datos = {'Area Promedio':lista_prom}\n",
        "\n",
        "# Crea el dataframe a partir del diccionario y coloco por index la lista de barrios:list_barrios\n",
        "df_barrios_area = pd.DataFrame(datos,index=list_barrios)\n",
        "\n",
        "df_barrios_area.index.name='Barrio'\n",
        "df_barrios_area"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 455
        },
        "outputId": "93117af6-79fa-473f-d10c-44b815074f93",
        "id": "kDEbDpDflEsN"
      },
      "execution_count": 19,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "                    Area Promedio\n",
              "Barrio                           \n",
              "Usaquén                     134.0\n",
              "Zona Noroccidental          135.8\n",
              "Bosa                         59.2\n",
              "Kennedy                     104.4\n",
              "Cedritos                     97.0\n",
              "...                           ...\n",
              "Colinas De Suba              80.0\n",
              "La Estanzuela                46.0\n",
              "Roma                        260.0\n",
              "Alameda                      97.0\n",
              "Prado Veraniego              25.0\n",
              "\n",
              "[149 rows x 1 columns]"
            ],
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              "\n",
              "  <div id=\"df-99aebbf9-0eaf-4c41-a773-0b24f85c4c49\">\n",
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              "      <th></th>\n",
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              "  <tbody>\n",
              "    <tr>\n",
              "      <th>Usaquén</th>\n",
              "      <td>134.0</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>Zona Noroccidental</th>\n",
              "      <td>135.8</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>Bosa</th>\n",
              "      <td>59.2</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>Kennedy</th>\n",
              "      <td>104.4</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>Cedritos</th>\n",
              "      <td>97.0</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>...</th>\n",
              "      <td>...</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>Colinas De Suba</th>\n",
              "      <td>80.0</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>La Estanzuela</th>\n",
              "      <td>46.0</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>Roma</th>\n",
              "      <td>260.0</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>Alameda</th>\n",
              "      <td>97.0</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>Prado Veraniego</th>\n",
              "      <td>25.0</td>\n",
              "    </tr>\n",
              "  </tbody>\n",
              "</table>\n",
              "<p>149 rows × 1 columns</p>\n",
              "</div>\n",
              "      <button class=\"colab-df-convert\" onclick=\"convertToInteractive('df-99aebbf9-0eaf-4c41-a773-0b24f85c4c49')\"\n",
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              "        \n",
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              "  </svg>\n",
              "      </button>\n",
              "      \n",
              "  <style>\n",
              "    .colab-df-container {\n",
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              "\n",
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              "      padding: 0 0 0 0;\n",
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              "    }\n",
              "\n",
              "    .colab-df-convert:hover {\n",
              "      background-color: #E2EBFA;\n",
              "      box-shadow: 0px 1px 2px rgba(60, 64, 67, 0.3), 0px 1px 3px 1px rgba(60, 64, 67, 0.15);\n",
              "      fill: #174EA6;\n",
              "    }\n",
              "\n",
              "    [theme=dark] .colab-df-convert {\n",
              "      background-color: #3B4455;\n",
              "      fill: #D2E3FC;\n",
              "    }\n",
              "\n",
              "    [theme=dark] .colab-df-convert:hover {\n",
              "      background-color: #434B5C;\n",
              "      box-shadow: 0px 1px 3px 1px rgba(0, 0, 0, 0.15);\n",
              "      filter: drop-shadow(0px 1px 2px rgba(0, 0, 0, 0.3));\n",
              "      fill: #FFFFFF;\n",
              "    }\n",
              "  </style>\n",
              "\n",
              "      <script>\n",
              "        const buttonEl =\n",
              "          document.querySelector('#df-99aebbf9-0eaf-4c41-a773-0b24f85c4c49 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-99aebbf9-0eaf-4c41-a773-0b24f85c4c49');\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",
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              "          docLink.innerHTML = docLinkHtml;\n",
              "          element.appendChild(docLink);\n",
              "        }\n",
              "      </script>\n",
              "    </div>\n",
              "  </div>\n",
              "  "
            ]
          },
          "metadata": {},
          "execution_count": 19
        }
      ]
    },
    {
      "cell_type": "markdown",
      "source": [
        "##Ordenar en orden descendiente"
      ],
      "metadata": {
        "id": "1-fBUDFxlEsO"
      }
    },
    {
      "cell_type": "code",
      "source": [
        "df_area_prom_x_barrio = df_barrios_area.sort_values(by='Area Promedio', ascending=False)\n",
        "df_area_prom_x_barrio"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 455
        },
        "outputId": "11af71e5-b193-43ae-8796-1c9c89918dd6",
        "id": "7QuRGA7tlEsO"
      },
      "execution_count": 20,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "                 Area Promedio\n",
              "Barrio                        \n",
              "Libertador               642.0\n",
              "Bosa Piamonte            400.0\n",
              "La Soledad               378.6\n",
              "Restrepo                 336.5\n",
              "Santa Librada            328.0\n",
              "...                        ...\n",
              "El Tunal                  41.0\n",
              "La Merced                 41.0\n",
              "San Diego                 40.7\n",
              "La Macarena               37.0\n",
              "Prado Veraniego           25.0\n",
              "\n",
              "[149 rows x 1 columns]"
            ],
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              "\n",
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              "  <thead>\n",
              "    <tr style=\"text-align: right;\">\n",
              "      <th></th>\n",
              "      <th>Area Promedio</th>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>Barrio</th>\n",
              "      <th></th>\n",
              "    </tr>\n",
              "  </thead>\n",
              "  <tbody>\n",
              "    <tr>\n",
              "      <th>Libertador</th>\n",
              "      <td>642.0</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>Bosa Piamonte</th>\n",
              "      <td>400.0</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>La Soledad</th>\n",
              "      <td>378.6</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>Restrepo</th>\n",
              "      <td>336.5</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>Santa Librada</th>\n",
              "      <td>328.0</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>...</th>\n",
              "      <td>...</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>El Tunal</th>\n",
              "      <td>41.0</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>La Merced</th>\n",
              "      <td>41.0</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>San Diego</th>\n",
              "      <td>40.7</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>La Macarena</th>\n",
              "      <td>37.0</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>Prado Veraniego</th>\n",
              "      <td>25.0</td>\n",
              "    </tr>\n",
              "  </tbody>\n",
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              "<p>149 rows × 1 columns</p>\n",
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              "\n",
              "    [theme=dark] .colab-df-convert {\n",
              "      background-color: #3B4455;\n",
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              "    [theme=dark] .colab-df-convert:hover {\n",
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              "        const buttonEl =\n",
              "          document.querySelector('#df-deb9d31b-be78-4e1c-8074-ac65622ba4f3 button.colab-df-convert');\n",
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              "          google.colab.kernel.accessAllowed ? 'block' : 'none';\n",
              "\n",
              "        async function convertToInteractive(key) {\n",
              "          const element = document.querySelector('#df-deb9d31b-be78-4e1c-8074-ac65622ba4f3');\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",
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              "  </div>\n",
              "  "
            ]
          },
          "metadata": {},
          "execution_count": 20
        }
      ]
    },
    {
      "cell_type": "markdown",
      "source": [
        "#GRAFICO DE BARRAS CORREGIDO TOP 10"
      ],
      "metadata": {
        "id": "sullwyTxkmLl"
      }
    },
    {
      "cell_type": "code",
      "source": [
        "df_area_prom_x_barrio.head(10).plot.bar();"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 375
        },
        "id": "DF8wS7Zrkqms",
        "outputId": "ff7d0658-6b80-4a76-d803-bfe2c9c521ba"
      },
      "execution_count": 21,
      "outputs": [
        {
          "output_type": "display_data",
          "data": {
            "text/plain": [
              "<Figure size 432x288 with 1 Axes>"
            ],
            "image/png": 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\n"
          },
          "metadata": {
            "needs_background": "light"
          }
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "data_new.describe().round()"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 300
        },
        "id": "3UGmwNDr0n3_",
        "outputId": "396dcb0c-cad6-4d69-bc40-69655949d740"
      },
      "execution_count": 22,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "       Habitaciones   Banos     Area\n",
              "count        9520.0  9520.0   9520.0\n",
              "mean            3.0     2.0    129.0\n",
              "std             2.0     1.0    315.0\n",
              "min             1.0     0.0      2.0\n",
              "25%             2.0     2.0     57.0\n",
              "50%             3.0     2.0     80.0\n",
              "75%             3.0     3.0    135.0\n",
              "max           110.0     9.0  15920.0"
            ],
            "text/html": [
              "\n",
              "  <div id=\"df-cc806d98-f4b2-4233-b41e-bdd92770281c\">\n",
              "    <div class=\"colab-df-container\">\n",
              "      <div>\n",
              "<style scoped>\n",
              "    .dataframe tbody tr th:only-of-type {\n",
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              "<table border=\"1\" class=\"dataframe\">\n",
              "  <thead>\n",
              "    <tr style=\"text-align: right;\">\n",
              "      <th></th>\n",
              "      <th>Habitaciones</th>\n",
              "      <th>Banos</th>\n",
              "      <th>Area</th>\n",
              "    </tr>\n",
              "  </thead>\n",
              "  <tbody>\n",
              "    <tr>\n",
              "      <th>count</th>\n",
              "      <td>9520.0</td>\n",
              "      <td>9520.0</td>\n",
              "      <td>9520.0</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>mean</th>\n",
              "      <td>3.0</td>\n",
              "      <td>2.0</td>\n",
              "      <td>129.0</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>std</th>\n",
              "      <td>2.0</td>\n",
              "      <td>1.0</td>\n",
              "      <td>315.0</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>min</th>\n",
              "      <td>1.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>2.0</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>25%</th>\n",
              "      <td>2.0</td>\n",
              "      <td>2.0</td>\n",
              "      <td>57.0</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>50%</th>\n",
              "      <td>3.0</td>\n",
              "      <td>2.0</td>\n",
              "      <td>80.0</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>75%</th>\n",
              "      <td>3.0</td>\n",
              "      <td>3.0</td>\n",
              "      <td>135.0</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>max</th>\n",
              "      <td>110.0</td>\n",
              "      <td>9.0</td>\n",
              "      <td>15920.0</td>\n",
              "    </tr>\n",
              "  </tbody>\n",
              "</table>\n",
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              "              title=\"Convert this dataframe to an interactive table.\"\n",
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              "    .colab-df-convert {\n",
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              "    [theme=dark] .colab-df-convert {\n",
              "      background-color: #3B4455;\n",
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              "          document.querySelector('#df-cc806d98-f4b2-4233-b41e-bdd92770281c 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-cc806d98-f4b2-4233-b41e-bdd92770281c');\n",
              "          const dataTable =\n",
              "            await google.colab.kernel.invokeFunction('convertToInteractive',\n",
              "                                                     [key], {});\n",
              "          if (!dataTable) return;\n",
              "\n",
              "          const docLinkHtml = 'Like what you see? Visit the ' +\n",
              "            '<a target=\"_blank\" href=https://colab.research.google.com/notebooks/data_table.ipynb>data table notebook</a>'\n",
              "            + ' to learn more about interactive tables.';\n",
              "          element.innerHTML = '';\n",
              "          dataTable['output_type'] = 'display_data';\n",
              "          await google.colab.output.renderOutput(dataTable, element);\n",
              "          const docLink = document.createElement('div');\n",
              "          docLink.innerHTML = docLinkHtml;\n",
              "          element.appendChild(docLink);\n",
              "        }\n",
              "      </script>\n",
              "    </div>\n",
              "  </div>\n",
              "  "
            ]
          },
          "metadata": {},
          "execution_count": 22
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "data_new.Area.max().round()"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "outputId": "b8f65bcf-54e0-4eef-b1dd-57582faedfeb",
        "id": "sAC4AGqw5ozH"
      },
      "execution_count": 23,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "15920"
            ]
          },
          "metadata": {},
          "execution_count": 23
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "#busco barrios con areas > 1000\n",
        "areas_grandes=data.loc[(data['Area'] > 1000)]\n",
        "areas_grandes"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 1000
        },
        "id": "QPlmVpZ8fn7k",
        "outputId": "c6f88407-fb8f-4b1a-f6a6-884c663d0b6b"
      },
      "execution_count": 24,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "             Tipo                                 Descripcion  Habitaciones  \\\n",
              "1037  Apartamento  Apartamento en venta en Zona Noroccidental             3   \n",
              "1480         Casa                       Casa en venta en Bosa            12   \n",
              "1783  Apartamento            Apartamento en venta en El Chicó             3   \n",
              "1798         Casa         Casa en venta en Zona Noroccidental             4   \n",
              "1860  Apartamento      Apartamento en venta en Barrios Unidos             3   \n",
              "1903        Finca            Finca en venta en Barrios Unidos             6   \n",
              "1951         Casa                Casa en venta en La Soledad              7   \n",
              "1955        Local            Local en venta en Quinta Camacho            16   \n",
              "2128         Casa                    Casa en venta en Usaquén             3   \n",
              "2154        Local            Local en venta en Quinta Camacho            16   \n",
              "2279        Finca            Finca en venta en Barrios Unidos             6   \n",
              "2384         Casa                Casa en venta en Teusaquillo             6   \n",
              "2604     Edificio             Edificio en venta en Las Nieves            15   \n",
              "2910     Edificio          Edificio en venta en Santa Barbara            22   \n",
              "3091       Bodega            Bodega en venta en Puente Aranda             1   \n",
              "3280         Casa                 Casa en venta en El Refugio             5   \n",
              "3807  Apartamento           Apartamento en venta en Chapinero             3   \n",
              "4452        Finca            Finca en venta en Barrios Unidos             6   \n",
              "4593        Local            Local en venta en Quinta Camacho            16   \n",
              "4672         Casa                    Casa en venta en Usaquén             3   \n",
              "4697        Finca            Finca en venta en Barrios Unidos             6   \n",
              "4803         Casa                  Casa en venta en Chapinero             6   \n",
              "4861     Edificio               Edificio en venta en Veraguas             9   \n",
              "4949        Finca            Finca en venta en Barrios Unidos             6   \n",
              "5021     Edificio             Edificio en venta en Las Nieves            15   \n",
              "5234     Edificio                Edificio en venta en Usaquén            12   \n",
              "6388  Apartamento           Apartamento en venta en Chapinero             3   \n",
              "7452  Apartamento            Apartamento en venta en Engativa             2   \n",
              "7891  Apartamento            Apartamento en venta en Engativa             2   \n",
              "9026         Casa                    Casa en venta en Usaquén             3   \n",
              "9444         Casa                       Casa en venta en Suba             4   \n",
              "\n",
              "      Banos   Area              Barrio  \\\n",
              "1037      2   5458  Zona Noroccidental   \n",
              "1480      7   1100                Bosa   \n",
              "1783      5   1550            El Chicó   \n",
              "1798      3   1182  Zona Noroccidental   \n",
              "1860      2   6267      Barrios Unidos   \n",
              "1903      6   1596      Barrios Unidos   \n",
              "1951      3   1350         La Soledad    \n",
              "1955      9   1050      Quinta Camacho   \n",
              "2128      4   1200             Usaquén   \n",
              "2154      9   1050      Quinta Camacho   \n",
              "2279      6   8884      Barrios Unidos   \n",
              "2384      5   3500         Teusaquillo   \n",
              "2604      6   1800          Las Nieves   \n",
              "2910      0   1080       Santa Barbara   \n",
              "3091      4   1200       Puente Aranda   \n",
              "3280      6   1300          El Refugio   \n",
              "3807      5  15920           Chapinero   \n",
              "4452      6   1596      Barrios Unidos   \n",
              "4593      9   1050      Quinta Camacho   \n",
              "4672      4   1200             Usaquén   \n",
              "4697      6   8884      Barrios Unidos   \n",
              "4803      3   1300           Chapinero   \n",
              "4861      5   1200            Veraguas   \n",
              "4949      6   1596      Barrios Unidos   \n",
              "5021      6   1800          Las Nieves   \n",
              "5234      7   1664             Usaquén   \n",
              "6388      5  15920           Chapinero   \n",
              "7452      1   4600            Engativa   \n",
              "7891      1   4600            Engativa   \n",
              "9026      4   6364             Usaquén   \n",
              "9444      4   1996                Suba   \n",
              "\n",
              "                                                 UPZ             Valor  \n",
              "1037              CHAPINERO: Pardo Rubio + Chapinero     $ 178.000.000  \n",
              "1480                                    Bosa Central     $ 330.000.000  \n",
              "1783              CHAPINERO: Chicó Lago + El Refugio  $ 13.200.000.000  \n",
              "1798              CHAPINERO: Pardo Rubio + Chapinero   $ 1.344.332.000  \n",
              "1860                                       Los Andes     $ 143.000.000  \n",
              "1903                                       Los Andes     $ 939.275.008  \n",
              "1951                                     Teusaquillo   $ 2.800.000.000  \n",
              "1955              CHAPINERO: Chicó Lago + El Refugio   $ 5.299.999.744  \n",
              "2128                                         Usaquén   $ 2.200.000.000  \n",
              "2154              CHAPINERO: Chicó Lago + El Refugio   $ 5.299.999.744  \n",
              "2279                                       Los Andes   $ 1.000.000.000  \n",
              "2384                                     Teusaquillo   $ 5.500.000.000  \n",
              "2604          SANTA FE: Las Nieves + Sagrado Corazón   $ 7.000.000.000  \n",
              "2910           USAQUÉN: Country Club + Santa Bárbara   $ 9.200.000.000  \n",
              "3091  PUENTE ARANDA: Zona Industrial + Puente Aranda   $ 2.800.000.000  \n",
              "3280              CHAPINERO: Chicó Lago + El Refugio   $ 4.000.000.000  \n",
              "3807              CHAPINERO: Pardo Rubio + Chapinero   $ 1.250.000.000  \n",
              "4452                                       Los Andes     $ 939.275.008  \n",
              "4593              CHAPINERO: Chicó Lago + El Refugio   $ 5.299.999.744  \n",
              "4672                                         Usaquén   $ 2.200.000.000  \n",
              "4697                                       Los Andes   $ 1.000.000.000  \n",
              "4803              CHAPINERO: Pardo Rubio + Chapinero   $ 4.000.000.000  \n",
              "4861                                    Santa Isabel   $ 3.000.000.000  \n",
              "4949                                       Los Andes     $ 939.275.008  \n",
              "5021          SANTA FE: Las Nieves + Sagrado Corazón   $ 7.000.000.000  \n",
              "5234                                         Usaquén  $ 16.000.000.000  \n",
              "6388              CHAPINERO: Pardo Rubio + Chapinero   $ 1.250.000.000  \n",
              "7452                                        Engativá     $ 155.000.000  \n",
              "7891                                        Engativá     $ 155.000.000  \n",
              "9026                                         Usaquén   $ 3.000.000.000  \n",
              "9444                                            Suba   $ 1.450.000.000  "
            ],
            "text/html": [
              "\n",
              "  <div id=\"df-6ee2a479-6ae4-4020-8299-c1c500945c00\">\n",
              "    <div 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>Tipo</th>\n",
              "      <th>Descripcion</th>\n",
              "      <th>Habitaciones</th>\n",
              "      <th>Banos</th>\n",
              "      <th>Area</th>\n",
              "      <th>Barrio</th>\n",
              "      <th>UPZ</th>\n",
              "      <th>Valor</th>\n",
              "    </tr>\n",
              "  </thead>\n",
              "  <tbody>\n",
              "    <tr>\n",
              "      <th>1037</th>\n",
              "      <td>Apartamento</td>\n",
              "      <td>Apartamento en venta en Zona Noroccidental</td>\n",
              "      <td>3</td>\n",
              "      <td>2</td>\n",
              "      <td>5458</td>\n",
              "      <td>Zona Noroccidental</td>\n",
              "      <td>CHAPINERO: Pardo Rubio + Chapinero</td>\n",
              "      <td>$ 178.000.000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>1480</th>\n",
              "      <td>Casa</td>\n",
              "      <td>Casa en venta en Bosa</td>\n",
              "      <td>12</td>\n",
              "      <td>7</td>\n",
              "      <td>1100</td>\n",
              "      <td>Bosa</td>\n",
              "      <td>Bosa Central</td>\n",
              "      <td>$ 330.000.000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>1783</th>\n",
              "      <td>Apartamento</td>\n",
              "      <td>Apartamento en venta en El Chicó</td>\n",
              "      <td>3</td>\n",
              "      <td>5</td>\n",
              "      <td>1550</td>\n",
              "      <td>El Chicó</td>\n",
              "      <td>CHAPINERO: Chicó Lago + El Refugio</td>\n",
              "      <td>$ 13.200.000.000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>1798</th>\n",
              "      <td>Casa</td>\n",
              "      <td>Casa en venta en Zona Noroccidental</td>\n",
              "      <td>4</td>\n",
              "      <td>3</td>\n",
              "      <td>1182</td>\n",
              "      <td>Zona Noroccidental</td>\n",
              "      <td>CHAPINERO: Pardo Rubio + Chapinero</td>\n",
              "      <td>$ 1.344.332.000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>1860</th>\n",
              "      <td>Apartamento</td>\n",
              "      <td>Apartamento en venta en Barrios Unidos</td>\n",
              "      <td>3</td>\n",
              "      <td>2</td>\n",
              "      <td>6267</td>\n",
              "      <td>Barrios Unidos</td>\n",
              "      <td>Los Andes</td>\n",
              "      <td>$ 143.000.000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>1903</th>\n",
              "      <td>Finca</td>\n",
              "      <td>Finca en venta en Barrios Unidos</td>\n",
              "      <td>6</td>\n",
              "      <td>6</td>\n",
              "      <td>1596</td>\n",
              "      <td>Barrios Unidos</td>\n",
              "      <td>Los Andes</td>\n",
              "      <td>$ 939.275.008</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>1951</th>\n",
              "      <td>Casa</td>\n",
              "      <td>Casa en venta en La Soledad</td>\n",
              "      <td>7</td>\n",
              "      <td>3</td>\n",
              "      <td>1350</td>\n",
              "      <td>La Soledad</td>\n",
              "      <td>Teusaquillo</td>\n",
              "      <td>$ 2.800.000.000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>1955</th>\n",
              "      <td>Local</td>\n",
              "      <td>Local en venta en Quinta Camacho</td>\n",
              "      <td>16</td>\n",
              "      <td>9</td>\n",
              "      <td>1050</td>\n",
              "      <td>Quinta Camacho</td>\n",
              "      <td>CHAPINERO: Chicó Lago + El Refugio</td>\n",
              "      <td>$ 5.299.999.744</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>2128</th>\n",
              "      <td>Casa</td>\n",
              "      <td>Casa en venta en Usaquén</td>\n",
              "      <td>3</td>\n",
              "      <td>4</td>\n",
              "      <td>1200</td>\n",
              "      <td>Usaquén</td>\n",
              "      <td>Usaquén</td>\n",
              "      <td>$ 2.200.000.000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>2154</th>\n",
              "      <td>Local</td>\n",
              "      <td>Local en venta en Quinta Camacho</td>\n",
              "      <td>16</td>\n",
              "      <td>9</td>\n",
              "      <td>1050</td>\n",
              "      <td>Quinta Camacho</td>\n",
              "      <td>CHAPINERO: Chicó Lago + El Refugio</td>\n",
              "      <td>$ 5.299.999.744</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>2279</th>\n",
              "      <td>Finca</td>\n",
              "      <td>Finca en venta en Barrios Unidos</td>\n",
              "      <td>6</td>\n",
              "      <td>6</td>\n",
              "      <td>8884</td>\n",
              "      <td>Barrios Unidos</td>\n",
              "      <td>Los Andes</td>\n",
              "      <td>$ 1.000.000.000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>2384</th>\n",
              "      <td>Casa</td>\n",
              "      <td>Casa en venta en Teusaquillo</td>\n",
              "      <td>6</td>\n",
              "      <td>5</td>\n",
              "      <td>3500</td>\n",
              "      <td>Teusaquillo</td>\n",
              "      <td>Teusaquillo</td>\n",
              "      <td>$ 5.500.000.000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>2604</th>\n",
              "      <td>Edificio</td>\n",
              "      <td>Edificio en venta en Las Nieves</td>\n",
              "      <td>15</td>\n",
              "      <td>6</td>\n",
              "      <td>1800</td>\n",
              "      <td>Las Nieves</td>\n",
              "      <td>SANTA FE: Las Nieves + Sagrado Corazón</td>\n",
              "      <td>$ 7.000.000.000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>2910</th>\n",
              "      <td>Edificio</td>\n",
              "      <td>Edificio en venta en Santa Barbara</td>\n",
              "      <td>22</td>\n",
              "      <td>0</td>\n",
              "      <td>1080</td>\n",
              "      <td>Santa Barbara</td>\n",
              "      <td>USAQUÉN: Country Club + Santa Bárbara</td>\n",
              "      <td>$ 9.200.000.000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>3091</th>\n",
              "      <td>Bodega</td>\n",
              "      <td>Bodega en venta en Puente Aranda</td>\n",
              "      <td>1</td>\n",
              "      <td>4</td>\n",
              "      <td>1200</td>\n",
              "      <td>Puente Aranda</td>\n",
              "      <td>PUENTE ARANDA: Zona Industrial + Puente Aranda</td>\n",
              "      <td>$ 2.800.000.000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>3280</th>\n",
              "      <td>Casa</td>\n",
              "      <td>Casa en venta en El Refugio</td>\n",
              "      <td>5</td>\n",
              "      <td>6</td>\n",
              "      <td>1300</td>\n",
              "      <td>El Refugio</td>\n",
              "      <td>CHAPINERO: Chicó Lago + El Refugio</td>\n",
              "      <td>$ 4.000.000.000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>3807</th>\n",
              "      <td>Apartamento</td>\n",
              "      <td>Apartamento en venta en Chapinero</td>\n",
              "      <td>3</td>\n",
              "      <td>5</td>\n",
              "      <td>15920</td>\n",
              "      <td>Chapinero</td>\n",
              "      <td>CHAPINERO: Pardo Rubio + Chapinero</td>\n",
              "      <td>$ 1.250.000.000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>4452</th>\n",
              "      <td>Finca</td>\n",
              "      <td>Finca en venta en Barrios Unidos</td>\n",
              "      <td>6</td>\n",
              "      <td>6</td>\n",
              "      <td>1596</td>\n",
              "      <td>Barrios Unidos</td>\n",
              "      <td>Los Andes</td>\n",
              "      <td>$ 939.275.008</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>4593</th>\n",
              "      <td>Local</td>\n",
              "      <td>Local en venta en Quinta Camacho</td>\n",
              "      <td>16</td>\n",
              "      <td>9</td>\n",
              "      <td>1050</td>\n",
              "      <td>Quinta Camacho</td>\n",
              "      <td>CHAPINERO: Chicó Lago + El Refugio</td>\n",
              "      <td>$ 5.299.999.744</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>4672</th>\n",
              "      <td>Casa</td>\n",
              "      <td>Casa en venta en Usaquén</td>\n",
              "      <td>3</td>\n",
              "      <td>4</td>\n",
              "      <td>1200</td>\n",
              "      <td>Usaquén</td>\n",
              "      <td>Usaquén</td>\n",
              "      <td>$ 2.200.000.000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>4697</th>\n",
              "      <td>Finca</td>\n",
              "      <td>Finca en venta en Barrios Unidos</td>\n",
              "      <td>6</td>\n",
              "      <td>6</td>\n",
              "      <td>8884</td>\n",
              "      <td>Barrios Unidos</td>\n",
              "      <td>Los Andes</td>\n",
              "      <td>$ 1.000.000.000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>4803</th>\n",
              "      <td>Casa</td>\n",
              "      <td>Casa en venta en Chapinero</td>\n",
              "      <td>6</td>\n",
              "      <td>3</td>\n",
              "      <td>1300</td>\n",
              "      <td>Chapinero</td>\n",
              "      <td>CHAPINERO: Pardo Rubio + Chapinero</td>\n",
              "      <td>$ 4.000.000.000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>4861</th>\n",
              "      <td>Edificio</td>\n",
              "      <td>Edificio en venta en Veraguas</td>\n",
              "      <td>9</td>\n",
              "      <td>5</td>\n",
              "      <td>1200</td>\n",
              "      <td>Veraguas</td>\n",
              "      <td>Santa Isabel</td>\n",
              "      <td>$ 3.000.000.000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>4949</th>\n",
              "      <td>Finca</td>\n",
              "      <td>Finca en venta en Barrios Unidos</td>\n",
              "      <td>6</td>\n",
              "      <td>6</td>\n",
              "      <td>1596</td>\n",
              "      <td>Barrios Unidos</td>\n",
              "      <td>Los Andes</td>\n",
              "      <td>$ 939.275.008</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>5021</th>\n",
              "      <td>Edificio</td>\n",
              "      <td>Edificio en venta en Las Nieves</td>\n",
              "      <td>15</td>\n",
              "      <td>6</td>\n",
              "      <td>1800</td>\n",
              "      <td>Las Nieves</td>\n",
              "      <td>SANTA FE: Las Nieves + Sagrado Corazón</td>\n",
              "      <td>$ 7.000.000.000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>5234</th>\n",
              "      <td>Edificio</td>\n",
              "      <td>Edificio en venta en Usaquén</td>\n",
              "      <td>12</td>\n",
              "      <td>7</td>\n",
              "      <td>1664</td>\n",
              "      <td>Usaquén</td>\n",
              "      <td>Usaquén</td>\n",
              "      <td>$ 16.000.000.000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>6388</th>\n",
              "      <td>Apartamento</td>\n",
              "      <td>Apartamento en venta en Chapinero</td>\n",
              "      <td>3</td>\n",
              "      <td>5</td>\n",
              "      <td>15920</td>\n",
              "      <td>Chapinero</td>\n",
              "      <td>CHAPINERO: Pardo Rubio + Chapinero</td>\n",
              "      <td>$ 1.250.000.000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>7452</th>\n",
              "      <td>Apartamento</td>\n",
              "      <td>Apartamento en venta en Engativa</td>\n",
              "      <td>2</td>\n",
              "      <td>1</td>\n",
              "      <td>4600</td>\n",
              "      <td>Engativa</td>\n",
              "      <td>Engativá</td>\n",
              "      <td>$ 155.000.000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>7891</th>\n",
              "      <td>Apartamento</td>\n",
              "      <td>Apartamento en venta en Engativa</td>\n",
              "      <td>2</td>\n",
              "      <td>1</td>\n",
              "      <td>4600</td>\n",
              "      <td>Engativa</td>\n",
              "      <td>Engativá</td>\n",
              "      <td>$ 155.000.000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>9026</th>\n",
              "      <td>Casa</td>\n",
              "      <td>Casa en venta en Usaquén</td>\n",
              "      <td>3</td>\n",
              "      <td>4</td>\n",
              "      <td>6364</td>\n",
              "      <td>Usaquén</td>\n",
              "      <td>Usaquén</td>\n",
              "      <td>$ 3.000.000.000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>9444</th>\n",
              "      <td>Casa</td>\n",
              "      <td>Casa en venta en Suba</td>\n",
              "      <td>4</td>\n",
              "      <td>4</td>\n",
              "      <td>1996</td>\n",
              "      <td>Suba</td>\n",
              "      <td>Suba</td>\n",
              "      <td>$ 1.450.000.000</td>\n",
              "    </tr>\n",
              "  </tbody>\n",
              "</table>\n",
              "</div>\n",
              "      <button class=\"colab-df-convert\" onclick=\"convertToInteractive('df-6ee2a479-6ae4-4020-8299-c1c500945c00')\"\n",
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              "                                                     [key], {});\n",
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              "\n",
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              "            '<a target=\"_blank\" href=https://colab.research.google.com/notebooks/data_table.ipynb>data table notebook</a>'\n",
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              "  </div>\n",
              "  "
            ]
          },
          "metadata": {},
          "execution_count": 24
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "type(data_new)"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "QB2T1L0S0uts",
        "outputId": "a7e0ec65-0ebd-4c89-8daa-8ea02867ddbb"
      },
      "execution_count": 25,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "pandas.core.frame.DataFrame"
            ]
          },
          "metadata": {},
          "execution_count": 25
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "data_new.info()"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "hVd161RW1JLo",
        "outputId": "f900fd66-6805-4fda-b9a1-73abcd69cba0"
      },
      "execution_count": 26,
      "outputs": [
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "<class 'pandas.core.frame.DataFrame'>\n",
            "RangeIndex: 9520 entries, 0 to 9519\n",
            "Data columns (total 8 columns):\n",
            " #   Column        Non-Null Count  Dtype \n",
            "---  ------        --------------  ----- \n",
            " 0   Tipo          9520 non-null   object\n",
            " 1   Descripcion   9520 non-null   object\n",
            " 2   Habitaciones  9520 non-null   int64 \n",
            " 3   Banos         9520 non-null   int64 \n",
            " 4   Area          9520 non-null   int64 \n",
            " 5   Barrio        9520 non-null   object\n",
            " 6   UPZ           9478 non-null   object\n",
            " 7   Valor         9520 non-null   object\n",
            "dtypes: int64(3), object(5)\n",
            "memory usage: 595.1+ KB\n"
          ]
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "data.describe().round(1)"
      ],
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          "height": 300
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        "outputId": "72980a13-01f1-4e8a-d4a2-9d50f33de399",
        "id": "E1jMzLpb2mdH"
      },
      "execution_count": 27,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "       Habitaciones   Banos     Area\n",
              "count        9520.0  9520.0   9520.0\n",
              "mean            3.1     2.4    129.2\n",
              "std             2.0     1.3    314.9\n",
              "min             1.0     0.0      2.0\n",
              "25%             2.0     2.0     57.0\n",
              "50%             3.0     2.0     80.0\n",
              "75%             3.0     3.0    135.0\n",
              "max           110.0     9.0  15920.0"
            ],
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              "      <th></th>\n",
              "      <th>Habitaciones</th>\n",
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              "      <td>9520.0</td>\n",
              "      <td>9520.0</td>\n",
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              "    <tr>\n",
              "      <th>mean</th>\n",
              "      <td>3.1</td>\n",
              "      <td>2.4</td>\n",
              "      <td>129.2</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>std</th>\n",
              "      <td>2.0</td>\n",
              "      <td>1.3</td>\n",
              "      <td>314.9</td>\n",
              "    </tr>\n",
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              "      <th>25%</th>\n",
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              "      <th>50%</th>\n",
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              "    </tr>\n",
              "    <tr>\n",
              "      <th>max</th>\n",
              "      <td>110.0</td>\n",
              "      <td>9.0</td>\n",
              "      <td>15920.0</td>\n",
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              "                                                     [key], {});\n",
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              "\n",
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    {
      "cell_type": "code",
      "source": [
        "data.Barrio.describe()"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "ee-GBBiV3qKg",
        "outputId": "6f45c000-3487-443a-edf9-64071cd58ce9"
      },
      "execution_count": 28,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "count        9520\n",
              "unique        149\n",
              "top       Usaquén\n",
              "freq         1105\n",
              "Name: Barrio, dtype: object"
            ]
          },
          "metadata": {},
          "execution_count": 28
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "# lista de todos los barrios\n",
        "inmuebles=data\n",
        "inmuebles.groupby('Barrio') ## Agrupa por barrios b1...,b1....\n",
        "\n",
        "promedio_por_barrio= inmuebles.groupby('Barrio')['Area'].mean().sort_values(ascending=False) # selecciona la columna \"Area\" y se aplica la función mean() para calcular el promedio de \"area\" para cada \"barrio\"\n",
        "mediana_por_barrio= inmuebles.groupby('Barrio')['Area'].median().sort_values(ascending=False)\n",
        "conteo_por_barrio= inmuebles.groupby('Barrio')['Area'].count().sort_values(ascending=False)\n",
        "moda_por_barrio= inmuebles.groupby('Barrio')['Area'].apply(lambda x: x.mode()).sort_values(ascending=False)\n",
        "minimo_por_barrio= inmuebles.groupby('Barrio')['Area'].min().sort_values(ascending=False)\n",
        "maximo_por_barrio= inmuebles.groupby('Barrio')['Area'].max().sort_values(ascending=False)\n"
      ],
      "metadata": {
        "id": "mcrj1h71XHlX"
      },
      "execution_count": 29,
      "outputs": []
    },
    {
      "cell_type": "code",
      "source": [
        "promedio_por_barrioss= data.loc[(data['Area']>1000)]"
      ],
      "metadata": {
        "id": "VfPFXJplCde7"
      },
      "execution_count": 30,
      "outputs": []
    },
    {
      "cell_type": "code",
      "source": [
        "promedio_por_barrioss"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 1000
        },
        "id": "LXl7Ir04EPUh",
        "outputId": "7b6df451-91d6-48f1-97d3-d26b6cdd9edb"
      },
      "execution_count": 31,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "             Tipo                                 Descripcion  Habitaciones  \\\n",
              "1037  Apartamento  Apartamento en venta en Zona Noroccidental             3   \n",
              "1480         Casa                       Casa en venta en Bosa            12   \n",
              "1783  Apartamento            Apartamento en venta en El Chicó             3   \n",
              "1798         Casa         Casa en venta en Zona Noroccidental             4   \n",
              "1860  Apartamento      Apartamento en venta en Barrios Unidos             3   \n",
              "1903        Finca            Finca en venta en Barrios Unidos             6   \n",
              "1951         Casa                Casa en venta en La Soledad              7   \n",
              "1955        Local            Local en venta en Quinta Camacho            16   \n",
              "2128         Casa                    Casa en venta en Usaquén             3   \n",
              "2154        Local            Local en venta en Quinta Camacho            16   \n",
              "2279        Finca            Finca en venta en Barrios Unidos             6   \n",
              "2384         Casa                Casa en venta en Teusaquillo             6   \n",
              "2604     Edificio             Edificio en venta en Las Nieves            15   \n",
              "2910     Edificio          Edificio en venta en Santa Barbara            22   \n",
              "3091       Bodega            Bodega en venta en Puente Aranda             1   \n",
              "3280         Casa                 Casa en venta en El Refugio             5   \n",
              "3807  Apartamento           Apartamento en venta en Chapinero             3   \n",
              "4452        Finca            Finca en venta en Barrios Unidos             6   \n",
              "4593        Local            Local en venta en Quinta Camacho            16   \n",
              "4672         Casa                    Casa en venta en Usaquén             3   \n",
              "4697        Finca            Finca en venta en Barrios Unidos             6   \n",
              "4803         Casa                  Casa en venta en Chapinero             6   \n",
              "4861     Edificio               Edificio en venta en Veraguas             9   \n",
              "4949        Finca            Finca en venta en Barrios Unidos             6   \n",
              "5021     Edificio             Edificio en venta en Las Nieves            15   \n",
              "5234     Edificio                Edificio en venta en Usaquén            12   \n",
              "6388  Apartamento           Apartamento en venta en Chapinero             3   \n",
              "7452  Apartamento            Apartamento en venta en Engativa             2   \n",
              "7891  Apartamento            Apartamento en venta en Engativa             2   \n",
              "9026         Casa                    Casa en venta en Usaquén             3   \n",
              "9444         Casa                       Casa en venta en Suba             4   \n",
              "\n",
              "      Banos   Area              Barrio  \\\n",
              "1037      2   5458  Zona Noroccidental   \n",
              "1480      7   1100                Bosa   \n",
              "1783      5   1550            El Chicó   \n",
              "1798      3   1182  Zona Noroccidental   \n",
              "1860      2   6267      Barrios Unidos   \n",
              "1903      6   1596      Barrios Unidos   \n",
              "1951      3   1350         La Soledad    \n",
              "1955      9   1050      Quinta Camacho   \n",
              "2128      4   1200             Usaquén   \n",
              "2154      9   1050      Quinta Camacho   \n",
              "2279      6   8884      Barrios Unidos   \n",
              "2384      5   3500         Teusaquillo   \n",
              "2604      6   1800          Las Nieves   \n",
              "2910      0   1080       Santa Barbara   \n",
              "3091      4   1200       Puente Aranda   \n",
              "3280      6   1300          El Refugio   \n",
              "3807      5  15920           Chapinero   \n",
              "4452      6   1596      Barrios Unidos   \n",
              "4593      9   1050      Quinta Camacho   \n",
              "4672      4   1200             Usaquén   \n",
              "4697      6   8884      Barrios Unidos   \n",
              "4803      3   1300           Chapinero   \n",
              "4861      5   1200            Veraguas   \n",
              "4949      6   1596      Barrios Unidos   \n",
              "5021      6   1800          Las Nieves   \n",
              "5234      7   1664             Usaquén   \n",
              "6388      5  15920           Chapinero   \n",
              "7452      1   4600            Engativa   \n",
              "7891      1   4600            Engativa   \n",
              "9026      4   6364             Usaquén   \n",
              "9444      4   1996                Suba   \n",
              "\n",
              "                                                 UPZ             Valor  \n",
              "1037              CHAPINERO: Pardo Rubio + Chapinero     $ 178.000.000  \n",
              "1480                                    Bosa Central     $ 330.000.000  \n",
              "1783              CHAPINERO: Chicó Lago + El Refugio  $ 13.200.000.000  \n",
              "1798              CHAPINERO: Pardo Rubio + Chapinero   $ 1.344.332.000  \n",
              "1860                                       Los Andes     $ 143.000.000  \n",
              "1903                                       Los Andes     $ 939.275.008  \n",
              "1951                                     Teusaquillo   $ 2.800.000.000  \n",
              "1955              CHAPINERO: Chicó Lago + El Refugio   $ 5.299.999.744  \n",
              "2128                                         Usaquén   $ 2.200.000.000  \n",
              "2154              CHAPINERO: Chicó Lago + El Refugio   $ 5.299.999.744  \n",
              "2279                                       Los Andes   $ 1.000.000.000  \n",
              "2384                                     Teusaquillo   $ 5.500.000.000  \n",
              "2604          SANTA FE: Las Nieves + Sagrado Corazón   $ 7.000.000.000  \n",
              "2910           USAQUÉN: Country Club + Santa Bárbara   $ 9.200.000.000  \n",
              "3091  PUENTE ARANDA: Zona Industrial + Puente Aranda   $ 2.800.000.000  \n",
              "3280              CHAPINERO: Chicó Lago + El Refugio   $ 4.000.000.000  \n",
              "3807              CHAPINERO: Pardo Rubio + Chapinero   $ 1.250.000.000  \n",
              "4452                                       Los Andes     $ 939.275.008  \n",
              "4593              CHAPINERO: Chicó Lago + El Refugio   $ 5.299.999.744  \n",
              "4672                                         Usaquén   $ 2.200.000.000  \n",
              "4697                                       Los Andes   $ 1.000.000.000  \n",
              "4803              CHAPINERO: Pardo Rubio + Chapinero   $ 4.000.000.000  \n",
              "4861                                    Santa Isabel   $ 3.000.000.000  \n",
              "4949                                       Los Andes     $ 939.275.008  \n",
              "5021          SANTA FE: Las Nieves + Sagrado Corazón   $ 7.000.000.000  \n",
              "5234                                         Usaquén  $ 16.000.000.000  \n",
              "6388              CHAPINERO: Pardo Rubio + Chapinero   $ 1.250.000.000  \n",
              "7452                                        Engativá     $ 155.000.000  \n",
              "7891                                        Engativá     $ 155.000.000  \n",
              "9026                                         Usaquén   $ 3.000.000.000  \n",
              "9444                                            Suba   $ 1.450.000.000  "
            ],
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              "  <thead>\n",
              "    <tr style=\"text-align: right;\">\n",
              "      <th></th>\n",
              "      <th>Tipo</th>\n",
              "      <th>Descripcion</th>\n",
              "      <th>Habitaciones</th>\n",
              "      <th>Banos</th>\n",
              "      <th>Area</th>\n",
              "      <th>Barrio</th>\n",
              "      <th>UPZ</th>\n",
              "      <th>Valor</th>\n",
              "    </tr>\n",
              "  </thead>\n",
              "  <tbody>\n",
              "    <tr>\n",
              "      <th>1037</th>\n",
              "      <td>Apartamento</td>\n",
              "      <td>Apartamento en venta en Zona Noroccidental</td>\n",
              "      <td>3</td>\n",
              "      <td>2</td>\n",
              "      <td>5458</td>\n",
              "      <td>Zona Noroccidental</td>\n",
              "      <td>CHAPINERO: Pardo Rubio + Chapinero</td>\n",
              "      <td>$ 178.000.000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>1480</th>\n",
              "      <td>Casa</td>\n",
              "      <td>Casa en venta en Bosa</td>\n",
              "      <td>12</td>\n",
              "      <td>7</td>\n",
              "      <td>1100</td>\n",
              "      <td>Bosa</td>\n",
              "      <td>Bosa Central</td>\n",
              "      <td>$ 330.000.000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>1783</th>\n",
              "      <td>Apartamento</td>\n",
              "      <td>Apartamento en venta en El Chicó</td>\n",
              "      <td>3</td>\n",
              "      <td>5</td>\n",
              "      <td>1550</td>\n",
              "      <td>El Chicó</td>\n",
              "      <td>CHAPINERO: Chicó Lago + El Refugio</td>\n",
              "      <td>$ 13.200.000.000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>1798</th>\n",
              "      <td>Casa</td>\n",
              "      <td>Casa en venta en Zona Noroccidental</td>\n",
              "      <td>4</td>\n",
              "      <td>3</td>\n",
              "      <td>1182</td>\n",
              "      <td>Zona Noroccidental</td>\n",
              "      <td>CHAPINERO: Pardo Rubio + Chapinero</td>\n",
              "      <td>$ 1.344.332.000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>1860</th>\n",
              "      <td>Apartamento</td>\n",
              "      <td>Apartamento en venta en Barrios Unidos</td>\n",
              "      <td>3</td>\n",
              "      <td>2</td>\n",
              "      <td>6267</td>\n",
              "      <td>Barrios Unidos</td>\n",
              "      <td>Los Andes</td>\n",
              "      <td>$ 143.000.000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>1903</th>\n",
              "      <td>Finca</td>\n",
              "      <td>Finca en venta en Barrios Unidos</td>\n",
              "      <td>6</td>\n",
              "      <td>6</td>\n",
              "      <td>1596</td>\n",
              "      <td>Barrios Unidos</td>\n",
              "      <td>Los Andes</td>\n",
              "      <td>$ 939.275.008</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>1951</th>\n",
              "      <td>Casa</td>\n",
              "      <td>Casa en venta en La Soledad</td>\n",
              "      <td>7</td>\n",
              "      <td>3</td>\n",
              "      <td>1350</td>\n",
              "      <td>La Soledad</td>\n",
              "      <td>Teusaquillo</td>\n",
              "      <td>$ 2.800.000.000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>1955</th>\n",
              "      <td>Local</td>\n",
              "      <td>Local en venta en Quinta Camacho</td>\n",
              "      <td>16</td>\n",
              "      <td>9</td>\n",
              "      <td>1050</td>\n",
              "      <td>Quinta Camacho</td>\n",
              "      <td>CHAPINERO: Chicó Lago + El Refugio</td>\n",
              "      <td>$ 5.299.999.744</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>2128</th>\n",
              "      <td>Casa</td>\n",
              "      <td>Casa en venta en Usaquén</td>\n",
              "      <td>3</td>\n",
              "      <td>4</td>\n",
              "      <td>1200</td>\n",
              "      <td>Usaquén</td>\n",
              "      <td>Usaquén</td>\n",
              "      <td>$ 2.200.000.000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>2154</th>\n",
              "      <td>Local</td>\n",
              "      <td>Local en venta en Quinta Camacho</td>\n",
              "      <td>16</td>\n",
              "      <td>9</td>\n",
              "      <td>1050</td>\n",
              "      <td>Quinta Camacho</td>\n",
              "      <td>CHAPINERO: Chicó Lago + El Refugio</td>\n",
              "      <td>$ 5.299.999.744</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>2279</th>\n",
              "      <td>Finca</td>\n",
              "      <td>Finca en venta en Barrios Unidos</td>\n",
              "      <td>6</td>\n",
              "      <td>6</td>\n",
              "      <td>8884</td>\n",
              "      <td>Barrios Unidos</td>\n",
              "      <td>Los Andes</td>\n",
              "      <td>$ 1.000.000.000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>2384</th>\n",
              "      <td>Casa</td>\n",
              "      <td>Casa en venta en Teusaquillo</td>\n",
              "      <td>6</td>\n",
              "      <td>5</td>\n",
              "      <td>3500</td>\n",
              "      <td>Teusaquillo</td>\n",
              "      <td>Teusaquillo</td>\n",
              "      <td>$ 5.500.000.000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>2604</th>\n",
              "      <td>Edificio</td>\n",
              "      <td>Edificio en venta en Las Nieves</td>\n",
              "      <td>15</td>\n",
              "      <td>6</td>\n",
              "      <td>1800</td>\n",
              "      <td>Las Nieves</td>\n",
              "      <td>SANTA FE: Las Nieves + Sagrado Corazón</td>\n",
              "      <td>$ 7.000.000.000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>2910</th>\n",
              "      <td>Edificio</td>\n",
              "      <td>Edificio en venta en Santa Barbara</td>\n",
              "      <td>22</td>\n",
              "      <td>0</td>\n",
              "      <td>1080</td>\n",
              "      <td>Santa Barbara</td>\n",
              "      <td>USAQUÉN: Country Club + Santa Bárbara</td>\n",
              "      <td>$ 9.200.000.000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>3091</th>\n",
              "      <td>Bodega</td>\n",
              "      <td>Bodega en venta en Puente Aranda</td>\n",
              "      <td>1</td>\n",
              "      <td>4</td>\n",
              "      <td>1200</td>\n",
              "      <td>Puente Aranda</td>\n",
              "      <td>PUENTE ARANDA: Zona Industrial + Puente Aranda</td>\n",
              "      <td>$ 2.800.000.000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>3280</th>\n",
              "      <td>Casa</td>\n",
              "      <td>Casa en venta en El Refugio</td>\n",
              "      <td>5</td>\n",
              "      <td>6</td>\n",
              "      <td>1300</td>\n",
              "      <td>El Refugio</td>\n",
              "      <td>CHAPINERO: Chicó Lago + El Refugio</td>\n",
              "      <td>$ 4.000.000.000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>3807</th>\n",
              "      <td>Apartamento</td>\n",
              "      <td>Apartamento en venta en Chapinero</td>\n",
              "      <td>3</td>\n",
              "      <td>5</td>\n",
              "      <td>15920</td>\n",
              "      <td>Chapinero</td>\n",
              "      <td>CHAPINERO: Pardo Rubio + Chapinero</td>\n",
              "      <td>$ 1.250.000.000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>4452</th>\n",
              "      <td>Finca</td>\n",
              "      <td>Finca en venta en Barrios Unidos</td>\n",
              "      <td>6</td>\n",
              "      <td>6</td>\n",
              "      <td>1596</td>\n",
              "      <td>Barrios Unidos</td>\n",
              "      <td>Los Andes</td>\n",
              "      <td>$ 939.275.008</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>4593</th>\n",
              "      <td>Local</td>\n",
              "      <td>Local en venta en Quinta Camacho</td>\n",
              "      <td>16</td>\n",
              "      <td>9</td>\n",
              "      <td>1050</td>\n",
              "      <td>Quinta Camacho</td>\n",
              "      <td>CHAPINERO: Chicó Lago + El Refugio</td>\n",
              "      <td>$ 5.299.999.744</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>4672</th>\n",
              "      <td>Casa</td>\n",
              "      <td>Casa en venta en Usaquén</td>\n",
              "      <td>3</td>\n",
              "      <td>4</td>\n",
              "      <td>1200</td>\n",
              "      <td>Usaquén</td>\n",
              "      <td>Usaquén</td>\n",
              "      <td>$ 2.200.000.000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>4697</th>\n",
              "      <td>Finca</td>\n",
              "      <td>Finca en venta en Barrios Unidos</td>\n",
              "      <td>6</td>\n",
              "      <td>6</td>\n",
              "      <td>8884</td>\n",
              "      <td>Barrios Unidos</td>\n",
              "      <td>Los Andes</td>\n",
              "      <td>$ 1.000.000.000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>4803</th>\n",
              "      <td>Casa</td>\n",
              "      <td>Casa en venta en Chapinero</td>\n",
              "      <td>6</td>\n",
              "      <td>3</td>\n",
              "      <td>1300</td>\n",
              "      <td>Chapinero</td>\n",
              "      <td>CHAPINERO: Pardo Rubio + Chapinero</td>\n",
              "      <td>$ 4.000.000.000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>4861</th>\n",
              "      <td>Edificio</td>\n",
              "      <td>Edificio en venta en Veraguas</td>\n",
              "      <td>9</td>\n",
              "      <td>5</td>\n",
              "      <td>1200</td>\n",
              "      <td>Veraguas</td>\n",
              "      <td>Santa Isabel</td>\n",
              "      <td>$ 3.000.000.000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>4949</th>\n",
              "      <td>Finca</td>\n",
              "      <td>Finca en venta en Barrios Unidos</td>\n",
              "      <td>6</td>\n",
              "      <td>6</td>\n",
              "      <td>1596</td>\n",
              "      <td>Barrios Unidos</td>\n",
              "      <td>Los Andes</td>\n",
              "      <td>$ 939.275.008</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>5021</th>\n",
              "      <td>Edificio</td>\n",
              "      <td>Edificio en venta en Las Nieves</td>\n",
              "      <td>15</td>\n",
              "      <td>6</td>\n",
              "      <td>1800</td>\n",
              "      <td>Las Nieves</td>\n",
              "      <td>SANTA FE: Las Nieves + Sagrado Corazón</td>\n",
              "      <td>$ 7.000.000.000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>5234</th>\n",
              "      <td>Edificio</td>\n",
              "      <td>Edificio en venta en Usaquén</td>\n",
              "      <td>12</td>\n",
              "      <td>7</td>\n",
              "      <td>1664</td>\n",
              "      <td>Usaquén</td>\n",
              "      <td>Usaquén</td>\n",
              "      <td>$ 16.000.000.000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>6388</th>\n",
              "      <td>Apartamento</td>\n",
              "      <td>Apartamento en venta en Chapinero</td>\n",
              "      <td>3</td>\n",
              "      <td>5</td>\n",
              "      <td>15920</td>\n",
              "      <td>Chapinero</td>\n",
              "      <td>CHAPINERO: Pardo Rubio + Chapinero</td>\n",
              "      <td>$ 1.250.000.000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>7452</th>\n",
              "      <td>Apartamento</td>\n",
              "      <td>Apartamento en venta en Engativa</td>\n",
              "      <td>2</td>\n",
              "      <td>1</td>\n",
              "      <td>4600</td>\n",
              "      <td>Engativa</td>\n",
              "      <td>Engativá</td>\n",
              "      <td>$ 155.000.000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>7891</th>\n",
              "      <td>Apartamento</td>\n",
              "      <td>Apartamento en venta en Engativa</td>\n",
              "      <td>2</td>\n",
              "      <td>1</td>\n",
              "      <td>4600</td>\n",
              "      <td>Engativa</td>\n",
              "      <td>Engativá</td>\n",
              "      <td>$ 155.000.000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>9026</th>\n",
              "      <td>Casa</td>\n",
              "      <td>Casa en venta en Usaquén</td>\n",
              "      <td>3</td>\n",
              "      <td>4</td>\n",
              "      <td>6364</td>\n",
              "      <td>Usaquén</td>\n",
              "      <td>Usaquén</td>\n",
              "      <td>$ 3.000.000.000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>9444</th>\n",
              "      <td>Casa</td>\n",
              "      <td>Casa en venta en Suba</td>\n",
              "      <td>4</td>\n",
              "      <td>4</td>\n",
              "      <td>1996</td>\n",
              "      <td>Suba</td>\n",
              "      <td>Suba</td>\n",
              "      <td>$ 1.450.000.000</td>\n",
              "    </tr>\n",
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              "        buttonEl.style.display =\n",
              "          google.colab.kernel.accessAllowed ? 'block' : 'none';\n",
              "\n",
              "        async function convertToInteractive(key) {\n",
              "          const element = document.querySelector('#df-cb196147-0e9c-45e3-b3fd-d6e47e30147f');\n",
              "          const dataTable =\n",
              "            await google.colab.kernel.invokeFunction('convertToInteractive',\n",
              "                                                     [key], {});\n",
              "          if (!dataTable) return;\n",
              "\n",
              "          const docLinkHtml = 'Like what you see? Visit the ' +\n",
              "            '<a target=\"_blank\" href=https://colab.research.google.com/notebooks/data_table.ipynb>data table notebook</a>'\n",
              "            + ' to learn more about interactive tables.';\n",
              "          element.innerHTML = '';\n",
              "          dataTable['output_type'] = 'display_data';\n",
              "          await google.colab.output.renderOutput(dataTable, element);\n",
              "          const docLink = document.createElement('div');\n",
              "          docLink.innerHTML = docLinkHtml;\n",
              "          element.appendChild(docLink);\n",
              "        }\n",
              "      </script>\n",
              "    </div>\n",
              "  </div>\n",
              "  "
            ]
          },
          "metadata": {},
          "execution_count": 31
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "df_barrio_area=pd.DataFrame(promedio_por_barrio)"
      ],
      "metadata": {
        "id": "OpEZW9NfFjnY"
      },
      "execution_count": 32,
      "outputs": []
    },
    {
      "cell_type": "code",
      "source": [
        "df_barrio_area"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 455
        },
        "id": "_rqzKx5DGW_V",
        "outputId": "fddc8e87-64a7-4bed-fa95-f7b8b1f06791"
      },
      "execution_count": 33,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "                       Area\n",
              "Barrio                     \n",
              "Libertador       642.000000\n",
              "Bosa Piamonte    400.000000\n",
              "La Soledad       378.625000\n",
              "Restrepo         336.500000\n",
              "Santa Librada    328.000000\n",
              "...                     ...\n",
              "La Merced         41.000000\n",
              "El Tunal          41.000000\n",
              "San Diego         40.666667\n",
              "La Macarena       37.000000\n",
              "Prado Veraniego   25.000000\n",
              "\n",
              "[149 rows x 1 columns]"
            ],
            "text/html": [
              "\n",
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              "      <th></th>\n",
              "      <th>Area</th>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>Barrio</th>\n",
              "      <th></th>\n",
              "    </tr>\n",
              "  </thead>\n",
              "  <tbody>\n",
              "    <tr>\n",
              "      <th>Libertador</th>\n",
              "      <td>642.000000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>Bosa Piamonte</th>\n",
              "      <td>400.000000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>La Soledad</th>\n",
              "      <td>378.625000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>Restrepo</th>\n",
              "      <td>336.500000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>Santa Librada</th>\n",
              "      <td>328.000000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>...</th>\n",
              "      <td>...</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>La Merced</th>\n",
              "      <td>41.000000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>El Tunal</th>\n",
              "      <td>41.000000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>San Diego</th>\n",
              "      <td>40.666667</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>La Macarena</th>\n",
              "      <td>37.000000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>Prado Veraniego</th>\n",
              "      <td>25.000000</td>\n",
              "    </tr>\n",
              "  </tbody>\n",
              "</table>\n",
              "<p>149 rows × 1 columns</p>\n",
              "</div>\n",
              "      <button class=\"colab-df-convert\" onclick=\"convertToInteractive('df-fa4aa8bd-fcf8-4a09-b71a-eb920e52fa72')\"\n",
              "              title=\"Convert this dataframe to an interactive table.\"\n",
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              "\n",
              "    [theme=dark] .colab-df-convert {\n",
              "      background-color: #3B4455;\n",
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              "\n",
              "    [theme=dark] .colab-df-convert:hover {\n",
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              "      box-shadow: 0px 1px 3px 1px rgba(0, 0, 0, 0.15);\n",
              "      filter: drop-shadow(0px 1px 2px rgba(0, 0, 0, 0.3));\n",
              "      fill: #FFFFFF;\n",
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              "  </style>\n",
              "\n",
              "      <script>\n",
              "        const buttonEl =\n",
              "          document.querySelector('#df-fa4aa8bd-fcf8-4a09-b71a-eb920e52fa72 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-fa4aa8bd-fcf8-4a09-b71a-eb920e52fa72');\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",
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              "  "
            ]
          },
          "metadata": {},
          "execution_count": 33
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "df_barrio_area.head(10).plot.bar();"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 375
        },
        "id": "Ig4iS9VuGmbQ",
        "outputId": "284351a6-2603-4b8e-bf24-6480ac032aaf"
      },
      "execution_count": 34,
      "outputs": [
        {
          "output_type": "display_data",
          "data": {
            "text/plain": [
              "<Figure size 432x288 with 1 Axes>"
            ],
            "image/png": 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\n"
          },
          "metadata": {
            "needs_background": "light"
          }
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "promedio_areas_por_barrio = data.groupby('Barrio')['Area'].mean()\n",
        "top_10 = promedio_areas_por_barrio.nlargest(10)\n",
        "top_10.head(10).plot.bar();"
      ],
      "metadata": {
        "id": "3NDUtG99HFfZ",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 375
        },
        "outputId": "d4a55134-93a7-406d-c67e-ba388e062a18"
      },
      "execution_count": 37,
      "outputs": [
        {
          "output_type": "display_data",
          "data": {
            "text/plain": [
              "<Figure size 432x288 with 1 Axes>"
            ],
            "image/png": 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\n"
          },
          "metadata": {
            "needs_background": "light"
          }
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "# lista de todos los barrios\n",
        "inmuebles=data\n",
        "inmuebles.groupby('Barrio') ## Agrupa por barrios b1...,b1....\n",
        "\n",
        "promedio_por_barrio= inmuebles.groupby('Barrio')['Area'].mean().sort_values(ascending=False) # selecciona la columna \"Area\" y se aplica la función mean() para calcular el promedio de \"area\" para cada \"barrio\"\n",
        "mediana_por_barrio= inmuebles.groupby('Barrio')['Area'].median().sort_values(ascending=False)\n",
        "conteo_por_barrio= inmuebles.groupby('Barrio')['Area'].count().sort_values(ascending=False)\n",
        "moda_por_barrio= inmuebles.groupby('Barrio')['Area'].apply(lambda x: x.mode()).sort_values(ascending=False)\n",
        "minimo_por_barrio= inmuebles.groupby('Barrio')['Area'].min().sort_values(ascending=False)\n",
        "maximo_por_barrio= inmuebles.groupby('Barrio')['Area'].max().sort_values(ascending=False)"
      ],
      "metadata": {
        "id": "22IAwvqxv3e2"
      },
      "execution_count": 38,
      "outputs": []
    },
    {
      "cell_type": "code",
      "source": [
        "promedio_por_barrio"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "-svtE2Tkx0Ef",
        "outputId": "e579d0bc-3e03-4b3b-a3be-a8f02620bc18"
      },
      "execution_count": 39,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "Barrio\n",
              "Libertador         642.000000\n",
              "Bosa Piamonte      400.000000\n",
              "La Soledad         378.625000\n",
              "Restrepo           336.500000\n",
              "Santa Librada      328.000000\n",
              "                      ...    \n",
              "La Merced           41.000000\n",
              "El Tunal            41.000000\n",
              "San Diego           40.666667\n",
              "La Macarena         37.000000\n",
              "Prado Veraniego     25.000000\n",
              "Name: Area, Length: 149, dtype: float64"
            ]
          },
          "metadata": {},
          "execution_count": 39
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "type(promedio_por_barrio)"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "f661xFLfx1_r",
        "outputId": "041767f7-dd19-4d45-a7b8-03855d7061e1"
      },
      "execution_count": 40,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "pandas.core.series.Series"
            ]
          },
          "metadata": {},
          "execution_count": 40
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "promedio_por_barrio.head(10).plot.bar()"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 392
        },
        "id": "pptN6eF62M1r",
        "outputId": "b99b5a4d-d12f-4505-f741-dfc82f409832"
      },
      "execution_count": 44,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "<Axes: xlabel='Barrio'>"
            ]
          },
          "metadata": {},
          "execution_count": 44
        },
        {
          "output_type": "display_data",
          "data": {
            "text/plain": [
              "<Figure size 432x288 with 1 Axes>"
            ],
            "image/png": 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\n"
          },
          "metadata": {
            "needs_background": "light"
          }
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "df_area_prom_x_barrios=data.groupby('Barrio')['Area'].describe().sort_values(by='mean',ascending=False)\n",
        "df_area_prom_x_barrios"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 455
        },
        "id": "BljvDHYG2Z8h",
        "outputId": "0ec54228-43a8-4337-edf9-e27884aaaee4"
      },
      "execution_count": 47,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "                 count        mean         std    min     25%    50%     75%  \\\n",
              "Barrio                                                                         \n",
              "Libertador         4.0  642.000000  394.907584  300.0  300.00  642.0  984.00   \n",
              "Bosa Piamonte      2.0  400.000000    0.000000  400.0  400.00  400.0  400.00   \n",
              "La Soledad         8.0  378.625000  414.352141   92.0  176.75  229.0  355.00   \n",
              "Restrepo          10.0  336.500000  187.555769   48.0  247.00  365.0  378.50   \n",
              "Santa Librada      2.0  328.000000   16.970563  316.0  322.00  328.0  334.00   \n",
              "...                ...         ...         ...    ...     ...    ...     ...   \n",
              "La Merced          2.0   41.000000   16.970563   29.0   35.00   41.0   47.00   \n",
              "El Tunal           1.0   41.000000         NaN   41.0   41.00   41.0   41.00   \n",
              "San Diego          6.0   40.666667   11.587349   30.0   36.00   36.5   40.75   \n",
              "La Macarena        1.0   37.000000         NaN   37.0   37.00   37.0   37.00   \n",
              "Prado Veraniego    1.0   25.000000         NaN   25.0   25.00   25.0   25.00   \n",
              "\n",
              "                    max  \n",
              "Barrio                   \n",
              "Libertador        984.0  \n",
              "Bosa Piamonte     400.0  \n",
              "La Soledad       1350.0  \n",
              "Restrepo          600.0  \n",
              "Santa Librada     340.0  \n",
              "...                 ...  \n",
              "La Merced          53.0  \n",
              "El Tunal           41.0  \n",
              "San Diego          63.0  \n",
              "La Macarena        37.0  \n",
              "Prado Veraniego    25.0  \n",
              "\n",
              "[149 rows x 8 columns]"
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          },
          "metadata": {},
          "execution_count": 47
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      ]
    },
    {
      "cell_type": "code",
      "source": [
        "df_area_prom_x_barrios['mean'].head(10).plot.bar();"
      ],
      "metadata": {
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          "height": 375
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        "id": "GxJjGAzZ7WPG",
        "outputId": "c79ef826-20c6-4ca6-cf1d-f8c5651b56b5"
      },
      "execution_count": 51,
      "outputs": [
        {
          "output_type": "display_data",
          "data": {
            "text/plain": [
              "<Figure size 432x288 with 1 Axes>"
            ],
            "image/png": 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\n"
          },
          "metadata": {
            "needs_background": "light"
          }
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [],
      "metadata": {
        "id": "dbIR9cyr7uiz"
      },
      "execution_count": null,
      "outputs": []
    }
  ]
}