Buenos Aires Real Estate.ipynb

{
 "cells": [
  {
   "cell_type": "markdown",
   "metadata": {
    "colab_type": "text",
    "id": "38tA-ErIC4OD"
   },
   "source": [
    "# Research Buenos Aires Real Estate\n",
    "\n"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Primero Importamos las librerias que vamos a utilizar"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 1,
   "metadata": {},
   "outputs": [],
   "source": [
    "import numpy as np\n",
    "import pandas as pd\n",
    "import matplotlib.pyplot as plt\n",
    "import seaborn as sns"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "colab_type": "text",
    "id": "5gWE6fwUC4OY"
   },
   "source": [
    "1. Carga el dataset usando las funcionalidades de Pandas. Imprimir cuántas filas y columnas tiene, y sus cinco primeras instancias."
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Primero cargamos el dataset"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 151,
   "metadata": {
    "colab": {},
    "colab_type": "code",
    "id": "YL2eAd_tC4Oa"
   },
   "outputs": [],
   "source": [
    "df = pd.read_csv ('/Users/Agus/Properati.csv')"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Cuantas columnas tiene"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "19\n"
     ]
    }
   ],
   "source": [
    "print(len(df.columns))"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Cuantas filas tiene"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "146660\n"
     ]
    }
   ],
   "source": [
    "print(len(df.index))"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Hacemos un count para ver la cantidad de datos"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "start_date         146660\n",
       "end_date           146660\n",
       "created_on         146660\n",
       "lat                136735\n",
       "lon                136701\n",
       "l1                 146660\n",
       "l2                 146660\n",
       "l3                 146660\n",
       "rooms              146660\n",
       "bedrooms           146660\n",
       "bathrooms          140703\n",
       "surface_total      126133\n",
       "surface_covered    125046\n",
       "price              146660\n",
       "currency           146660\n",
       "title              146660\n",
       "description        146660\n",
       "property_type      146660\n",
       "operation_type     146660\n",
       "dtype: int64"
      ]
     },
     "execution_count": 5,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df.count()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Corremos un head para ver si los primeros numeros estan correctos"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "metadata": {},
   "outputs": [
    {
     "data": {
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       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>start_date</th>\n",
       "      <th>end_date</th>\n",
       "      <th>created_on</th>\n",
       "      <th>lat</th>\n",
       "      <th>lon</th>\n",
       "      <th>l1</th>\n",
       "      <th>l2</th>\n",
       "      <th>l3</th>\n",
       "      <th>rooms</th>\n",
       "      <th>bedrooms</th>\n",
       "      <th>bathrooms</th>\n",
       "      <th>surface_total</th>\n",
       "      <th>surface_covered</th>\n",
       "      <th>price</th>\n",
       "      <th>currency</th>\n",
       "      <th>title</th>\n",
       "      <th>description</th>\n",
       "      <th>property_type</th>\n",
       "      <th>operation_type</th>\n",
       "    </tr>\n",
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       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>2019-10-17</td>\n",
       "      <td>2019-12-23</td>\n",
       "      <td>2019-10-17</td>\n",
       "      <td>-34.605880</td>\n",
       "      <td>-58.384949</td>\n",
       "      <td>Argentina</td>\n",
       "      <td>Capital Federal</td>\n",
       "      <td>San Cristobal</td>\n",
       "      <td>7.0</td>\n",
       "      <td>7.0</td>\n",
       "      <td>2.0</td>\n",
       "      <td>140.0</td>\n",
       "      <td>140.0</td>\n",
       "      <td>153000.0</td>\n",
       "      <td>USD</td>\n",
       "      <td>***Venta semipiso centro, ideal hostel*****</td>\n",
       "      <td>DESCRIPCION DE LA PROPIEDAD: Departamento de 1...</td>\n",
       "      <td>Departamento</td>\n",
       "      <td>Venta</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>2019-10-17</td>\n",
       "      <td>2019-11-21</td>\n",
       "      <td>2019-10-17</td>\n",
       "      <td>-34.624056</td>\n",
       "      <td>-58.412110</td>\n",
       "      <td>Argentina</td>\n",
       "      <td>Capital Federal</td>\n",
       "      <td>Boedo</td>\n",
       "      <td>2.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>2.0</td>\n",
       "      <td>70.0</td>\n",
       "      <td>58.0</td>\n",
       "      <td>159000.0</td>\n",
       "      <td>USD</td>\n",
       "      <td>Espectacular PH reciclado en Boedo sin expensas.</td>\n",
       "      <td>PH reciclado en Boedo a una cuadra de la plaz...</td>\n",
       "      <td>PH</td>\n",
       "      <td>Venta</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>2019-10-17</td>\n",
       "      <td>2019-11-01</td>\n",
       "      <td>2019-10-17</td>\n",
       "      <td>-34.593569</td>\n",
       "      <td>-58.427474</td>\n",
       "      <td>Argentina</td>\n",
       "      <td>Capital Federal</td>\n",
       "      <td>Palermo</td>\n",
       "      <td>2.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>45.0</td>\n",
       "      <td>45.0</td>\n",
       "      <td>125000.0</td>\n",
       "      <td>USD</td>\n",
       "      <td>Depto.tipo casa de 2 ambientes en Venta en Pal...</td>\n",
       "      <td>2 ambienets amplio , excelente estado , patio ...</td>\n",
       "      <td>PH</td>\n",
       "      <td>Venta</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>2019-10-17</td>\n",
       "      <td>2019-12-23</td>\n",
       "      <td>2019-10-17</td>\n",
       "      <td>-34.581294</td>\n",
       "      <td>-58.436754</td>\n",
       "      <td>Argentina</td>\n",
       "      <td>Capital Federal</td>\n",
       "      <td>Palermo</td>\n",
       "      <td>2.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>85.0</td>\n",
       "      <td>50.0</td>\n",
       "      <td>295000.0</td>\n",
       "      <td>USD</td>\n",
       "      <td>COSTA RICA 5800 / PALERMO HOLLYWOOD / VENTA PH...</td>\n",
       "      <td>HERMOSO PH EN PALERMO!!!2 AMBIENTES TOTALMENTE...</td>\n",
       "      <td>PH</td>\n",
       "      <td>Venta</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>2019-10-17</td>\n",
       "      <td>2020-03-11</td>\n",
       "      <td>2019-10-17</td>\n",
       "      <td>-34.914194</td>\n",
       "      <td>-57.938219</td>\n",
       "      <td>Argentina</td>\n",
       "      <td>Bs.As. G.B.A. Zona Sur</td>\n",
       "      <td>La Plata</td>\n",
       "      <td>2.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>50.0</td>\n",
       "      <td>35.0</td>\n",
       "      <td>40000.0</td>\n",
       "      <td>USD</td>\n",
       "      <td>58 entre 1 y 2  Venta de departamento en ph.1 ...</td>\n",
       "      <td>58 entre 1 y 2  Venta de departamento en PH. P...</td>\n",
       "      <td>PH</td>\n",
       "      <td>Venta</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
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      "text/plain": [
       "   start_date    end_date  created_on        lat        lon         l1  \\\n",
       "0  2019-10-17  2019-12-23  2019-10-17 -34.605880 -58.384949  Argentina   \n",
       "1  2019-10-17  2019-11-21  2019-10-17 -34.624056 -58.412110  Argentina   \n",
       "2  2019-10-17  2019-11-01  2019-10-17 -34.593569 -58.427474  Argentina   \n",
       "3  2019-10-17  2019-12-23  2019-10-17 -34.581294 -58.436754  Argentina   \n",
       "4  2019-10-17  2020-03-11  2019-10-17 -34.914194 -57.938219  Argentina   \n",
       "\n",
       "                       l2             l3  rooms  bedrooms  bathrooms  \\\n",
       "0         Capital Federal  San Cristobal    7.0       7.0        2.0   \n",
       "1         Capital Federal          Boedo    2.0       1.0        2.0   \n",
       "2         Capital Federal        Palermo    2.0       1.0        1.0   \n",
       "3         Capital Federal        Palermo    2.0       1.0        1.0   \n",
       "4  Bs.As. G.B.A. Zona Sur       La Plata    2.0       1.0        1.0   \n",
       "\n",
       "   surface_total  surface_covered     price currency  \\\n",
       "0          140.0            140.0  153000.0      USD   \n",
       "1           70.0             58.0  159000.0      USD   \n",
       "2           45.0             45.0  125000.0      USD   \n",
       "3           85.0             50.0  295000.0      USD   \n",
       "4           50.0             35.0   40000.0      USD   \n",
       "\n",
       "                                               title  \\\n",
       "0        ***Venta semipiso centro, ideal hostel*****   \n",
       "1   Espectacular PH reciclado en Boedo sin expensas.   \n",
       "2  Depto.tipo casa de 2 ambientes en Venta en Pal...   \n",
       "3  COSTA RICA 5800 / PALERMO HOLLYWOOD / VENTA PH...   \n",
       "4  58 entre 1 y 2  Venta de departamento en ph.1 ...   \n",
       "\n",
       "                                         description property_type  \\\n",
       "0  DESCRIPCION DE LA PROPIEDAD: Departamento de 1...  Departamento   \n",
       "1   PH reciclado en Boedo a una cuadra de la plaz...            PH   \n",
       "2  2 ambienets amplio , excelente estado , patio ...            PH   \n",
       "3  HERMOSO PH EN PALERMO!!!2 AMBIENTES TOTALMENTE...            PH   \n",
       "4  58 entre 1 y 2  Venta de departamento en PH. P...            PH   \n",
       "\n",
       "  operation_type  \n",
       "0          Venta  \n",
       "1          Venta  \n",
       "2          Venta  \n",
       "3          Venta  \n",
       "4          Venta  "
      ]
     },
     "execution_count": 6,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df.head()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Corremos un Tail para ver si los primeros numeros estan correctos"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "metadata": {},
   "outputs": [
    {
     "data": {
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       "      <th>start_date</th>\n",
       "      <th>end_date</th>\n",
       "      <th>created_on</th>\n",
       "      <th>lat</th>\n",
       "      <th>lon</th>\n",
       "      <th>l1</th>\n",
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       "      <th>bedrooms</th>\n",
       "      <th>bathrooms</th>\n",
       "      <th>surface_total</th>\n",
       "      <th>surface_covered</th>\n",
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       "      <th>currency</th>\n",
       "      <th>title</th>\n",
       "      <th>description</th>\n",
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       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>146655</th>\n",
       "      <td>2019-07-31</td>\n",
       "      <td>2019-08-13</td>\n",
       "      <td>2019-07-31</td>\n",
       "      <td>-34.816348</td>\n",
       "      <td>-58.181963</td>\n",
       "      <td>Argentina</td>\n",
       "      <td>Bs.As. G.B.A. Zona Sur</td>\n",
       "      <td>Berazategui</td>\n",
       "      <td>2.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>54.0</td>\n",
       "      <td>48.0</td>\n",
       "      <td>165000.0</td>\n",
       "      <td>USD</td>\n",
       "      <td>Departamento en Venta en Barrio Privado Barran...</td>\n",
       "      <td>Departamento de 2 ambientesCocina con alacena ...</td>\n",
       "      <td>Departamento</td>\n",
       "      <td>Venta</td>\n",
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       "      <th>146656</th>\n",
       "      <td>2019-07-31</td>\n",
       "      <td>2019-08-14</td>\n",
       "      <td>2019-07-31</td>\n",
       "      <td>-34.446459</td>\n",
       "      <td>-58.937810</td>\n",
       "      <td>Argentina</td>\n",
       "      <td>Bs.As. G.B.A. Zona Norte</td>\n",
       "      <td>Pilar</td>\n",
       "      <td>4.0</td>\n",
       "      <td>3.0</td>\n",
       "      <td>2.0</td>\n",
       "      <td>164.0</td>\n",
       "      <td>90.0</td>\n",
       "      <td>130000.0</td>\n",
       "      <td>USD</td>\n",
       "      <td>Venta departamentos tres dormitorios jardín co...</td>\n",
       "      <td>Muy buen duplex a estrenar en dos plantas más ...</td>\n",
       "      <td>Departamento</td>\n",
       "      <td>Venta</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>146657</th>\n",
       "      <td>2019-07-31</td>\n",
       "      <td>2019-08-14</td>\n",
       "      <td>2019-07-31</td>\n",
       "      <td>-34.444633</td>\n",
       "      <td>-58.981606</td>\n",
       "      <td>Argentina</td>\n",
       "      <td>Bs.As. G.B.A. Zona Norte</td>\n",
       "      <td>Pilar</td>\n",
       "      <td>1.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>50.0</td>\n",
       "      <td>35.0</td>\n",
       "      <td>73000.0</td>\n",
       "      <td>USD</td>\n",
       "      <td>Venta departamento de un ambiente Manzanares C...</td>\n",
       "      <td>En los Condominios de Campo Manzanares Chico, ...</td>\n",
       "      <td>Departamento</td>\n",
       "      <td>Venta</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>146658</th>\n",
       "      <td>2019-07-31</td>\n",
       "      <td>2019-08-14</td>\n",
       "      <td>2019-07-31</td>\n",
       "      <td>-34.444830</td>\n",
       "      <td>-58.981796</td>\n",
       "      <td>Argentina</td>\n",
       "      <td>Bs.As. G.B.A. Zona Norte</td>\n",
       "      <td>Pilar</td>\n",
       "      <td>2.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>38.0</td>\n",
       "      <td>38.0</td>\n",
       "      <td>68000.0</td>\n",
       "      <td>USD</td>\n",
       "      <td>Departamento en Venta. Manzanares chico.</td>\n",
       "      <td>Broker: Maria 11Departamento de dos ambientes ...</td>\n",
       "      <td>Departamento</td>\n",
       "      <td>Venta</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>146659</th>\n",
       "      <td>2019-07-31</td>\n",
       "      <td>2019-10-12</td>\n",
       "      <td>2019-07-31</td>\n",
       "      <td>-34.444760</td>\n",
       "      <td>-58.981885</td>\n",
       "      <td>Argentina</td>\n",
       "      <td>Bs.As. G.B.A. Zona Norte</td>\n",
       "      <td>Pilar</td>\n",
       "      <td>3.0</td>\n",
       "      <td>2.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>75.0</td>\n",
       "      <td>75.0</td>\n",
       "      <td>98000.0</td>\n",
       "      <td>USD</td>\n",
       "      <td>Departamento en venta en Manzanares Chico</td>\n",
       "      <td>Departamento en el Barrio Manzanares Chico , e...</td>\n",
       "      <td>Departamento</td>\n",
       "      <td>Venta</td>\n",
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      "text/plain": [
       "        start_date    end_date  created_on        lat        lon         l1  \\\n",
       "146655  2019-07-31  2019-08-13  2019-07-31 -34.816348 -58.181963  Argentina   \n",
       "146656  2019-07-31  2019-08-14  2019-07-31 -34.446459 -58.937810  Argentina   \n",
       "146657  2019-07-31  2019-08-14  2019-07-31 -34.444633 -58.981606  Argentina   \n",
       "146658  2019-07-31  2019-08-14  2019-07-31 -34.444830 -58.981796  Argentina   \n",
       "146659  2019-07-31  2019-10-12  2019-07-31 -34.444760 -58.981885  Argentina   \n",
       "\n",
       "                              l2           l3  rooms  bedrooms  bathrooms  \\\n",
       "146655    Bs.As. G.B.A. Zona Sur  Berazategui    2.0       1.0        1.0   \n",
       "146656  Bs.As. G.B.A. Zona Norte        Pilar    4.0       3.0        2.0   \n",
       "146657  Bs.As. G.B.A. Zona Norte        Pilar    1.0       1.0        1.0   \n",
       "146658  Bs.As. G.B.A. Zona Norte        Pilar    2.0       1.0        1.0   \n",
       "146659  Bs.As. G.B.A. Zona Norte        Pilar    3.0       2.0        1.0   \n",
       "\n",
       "        surface_total  surface_covered     price currency  \\\n",
       "146655           54.0             48.0  165000.0      USD   \n",
       "146656          164.0             90.0  130000.0      USD   \n",
       "146657           50.0             35.0   73000.0      USD   \n",
       "146658           38.0             38.0   68000.0      USD   \n",
       "146659           75.0             75.0   98000.0      USD   \n",
       "\n",
       "                                                    title  \\\n",
       "146655  Departamento en Venta en Barrio Privado Barran...   \n",
       "146656  Venta departamentos tres dormitorios jardín co...   \n",
       "146657  Venta departamento de un ambiente Manzanares C...   \n",
       "146658           Departamento en Venta. Manzanares chico.   \n",
       "146659          Departamento en venta en Manzanares Chico   \n",
       "\n",
       "                                              description property_type  \\\n",
       "146655  Departamento de 2 ambientesCocina con alacena ...  Departamento   \n",
       "146656  Muy buen duplex a estrenar en dos plantas más ...  Departamento   \n",
       "146657  En los Condominios de Campo Manzanares Chico, ...  Departamento   \n",
       "146658  Broker: Maria 11Departamento de dos ambientes ...  Departamento   \n",
       "146659  Departamento en el Barrio Manzanares Chico , e...  Departamento   \n",
       "\n",
       "       operation_type  \n",
       "146655          Venta  \n",
       "146656          Venta  \n",
       "146657          Venta  \n",
       "146658          Venta  \n",
       "146659          Venta  "
      ]
     },
     "execution_count": 7,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df.tail()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "colab_type": "text",
    "id": "BJ-XiUsvC4Oh"
   },
   "source": [
    "2. **Valores Faltantes**: imprime en pantalla los nombres de las columnas y cuántos valores faltantes hay por columna."
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Vemos los valores faltantes de cada columna"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "metadata": {
    "colab": {},
    "colab_type": "code",
    "id": "1QletBbgC4Oi"
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "start_date             0\n",
       "end_date               0\n",
       "created_on             0\n",
       "lat                 9925\n",
       "lon                 9959\n",
       "l1                     0\n",
       "l2                     0\n",
       "l3                     0\n",
       "rooms                  0\n",
       "bedrooms               0\n",
       "bathrooms           5957\n",
       "surface_total      20527\n",
       "surface_covered    21614\n",
       "price                  0\n",
       "currency               0\n",
       "title                  0\n",
       "description            0\n",
       "property_type          0\n",
       "operation_type         0\n",
       "dtype: int64"
      ]
     },
     "execution_count": 8,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df.isnull().sum()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "colab_type": "text",
    "id": "fzDXC875C4Oo"
   },
   "source": [
    "3. **Tipos de propiedad**: ¿Cuántos tipos de propiedad hay publicados según este dataset?¿Cuántos instancias por cada tipo de propiedad hay en el dataset? Responde esta pregunta usando las funcionalidad de Pandas y con un gráfico apropiado de Seaborn. **Pistas**: Te puede ser útil googlear cómo rotar las etiquetas del eje x."
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Vemos los tipos de propiedades publicados"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 9,
   "metadata": {
    "colab": {},
    "colab_type": "code",
    "id": "KvVxaqPlC4Oq"
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "Departamento       107326\n",
       "Casa                21521\n",
       "PH                  14298\n",
       "Lote                 1312\n",
       "Oficina               658\n",
       "Otro                  374\n",
       "Local comercial       325\n",
       "Casa de campo         322\n",
       "Depósito              265\n",
       "Cochera               259\n",
       "Name: property_type, dtype: int64"
      ]
     },
     "execution_count": 9,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df[\"property_type\"].value_counts()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Graficamos las principales categorias "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 10,
   "metadata": {},
   "outputs": [],
   "source": [
    "index = df.property_type.isin([\"Departamento\",\"Casa\",\"PH\" ])"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 84,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "sns.countplot(y ='property_type', data = df[index]) \n",
    "plt.title('Tipos de propiedades')\n",
    "plt.xlabel('Número de propiedades')\n",
    "plt.ylabel('Tipo de propiedad') \n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Graficamos el resto de las propiedades"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 12,
   "metadata": {},
   "outputs": [],
   "source": [
    "indexb = df.property_type.isin([\"Lote\",\"Oficina\",\"Otro\",\"Local Comercial\", \"Casa de campo\", \"Depósito\", \"Cochera\" ])"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 85,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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76jIkacad/srTR12CJInBQsPLgSOBrZL8DrgceMFQq5IkSZI0Nga5e9JlwG5JVgaWqaqbhl+WJEmSpHExbWhIctA07QBU1QeGVJMkSZKkMdLV07Bq+74lsD1wQpt+BnDaMIuSJEmSND6mDQ1V9XaAJCcDj5oYlpTkEPoe9iZJkiRp6TbILVc3BG7rm74N2Hgo1UiSJEkaO4PcPekzwJlJjqd329VnA58ealWSJEmSxsYgd096d5KTgJ1b00uq6pzhliVJkiRpXAzS00BVnZ3kN8D9AJJsWFW/HmplkiRJksbCQq9pSPLMJJfQe6jbqe37t4ZdmCRJkqTxMMiF0O8EdgR+UVWbALsBpw+1KkmSJEljY5DQcHtV/QlYJskyVXUKsO2Q65IkSZI0Jga5puH6JKvQe6DbZ5NcBdwx3LIkSZIkjYtBehp2B24BXgOcBFxK76nQS4Uk6yf5WpJLklya5ENJlm/zjk2yIMlrkrwjyW4d25mb5MMzV7kkSZI0Mwa55epf+iY/NcRaZlySAF8Bjqiq3ZPMAY4E3p3kUOAxVbXRINuqqvnA/OFVK0mSJI3GtD0NSW5KcuN0XzNZ5BA9AfhrVR0FUFV30utR2Y/ecKwHJjk3yT8mOTrJngBJtk/yoyTnJTkzyapJdk3y9Tb/kCSfTDIvyWVJDpzYYZKvJjk7yYVJ9p/xI5YkSZIW0bQ9DVW1KkCSdwB/oPdk6AD7AKvOSHXD9zDg7P6Gqroxya+BFwOfq6ptAZK8tH1fHvgCsHdVnZVkNXrDtybbCng8vffq4iRHVNXtwH5VdW2SFYGzkny5XWguSZIkjaVBrml4clUdXlU3VdWNVXUE8JxhFzZDAtQitANsCVxZVWdBL2RU1VQXhn+jqm6tqmuAq4AHtfYDk5wH/BjYANh8ysKS/ZPMTzL/9j/fPvgRSZIkSUvYIKHhziT7JJmTZJkk+wB3DruwGXIhMLe/ofUcbMD0x9gVKPrd2vf6TmDZJLvSe87FTlW1DXAO7Snbk1XVkVU1t6rmLrfKcgPsTpIkSRqOQULD84F/Af7YvvZqbUuD7wErJXkRQLsQ+lDgaODmada5CFg3yfZtnVWTDHLrWoDVgeuq6uYkW9F7aJ4kSZI01ga5e9IV9G67utSpqkrybODwJG+hF6K+CbwJWGeadW5LsjfwkXZdwi30eg8GcRJwQJIFwMX0hihJkiRJYy1V3SNtkmwBHAE8qKq2TvII4JlV9a6ZKFCwyoar1Dav32bUZUjSjDv9laePugRJmjWSnF1Vc6eaN8jwpI8DBwO3A1TVAuC5S648SZIkSeNskNCwUlWdOaltqrsFSZIkSVoKDRIarkmyGe2OQe0BZ1cOtSpJkiRJY2OQu/68HDgS2CrJ74DLgRcMtSpJkiRJY2OQuyddBuyWZGVgmaq6afhlSZIkSRoX04aGJC+oqmOSHDSpHYCq+sCQa5MkSZI0Brp6GlZu31ediUIkSZIkjadpQ0NVfax9f/vMlSNJkiRp3Cz07klJNk1yYpKrk1yV5GtJNp2J4iRJkiSN3iC3XP0c8EVgHWBd4EvAscMsSpIkSdL4GCQ0pKo+U1V3tK9jaM9skCRJkrT0G+Q5DackeSPweXphYW/gG0nWBKiqa4dYnyRJkqQRGyQ07N2+v2xS+370QoTXN0iSJElLsUEe7rbJTBSi6W31wK04/ZWnj7oMSZIkzVILDQ1JlgP+HXhca5oHfKyqbh9iXZIkSZLGxCDDk44AlgMOb9MvbG3/OqyiJEmSJI2PQULD9lW1Td/095OcN6yCJEmSJI2XQW65emeSzSYm2oPd7hxeSZIkSZLGySA9Da+nd9vVy4AAGwEvGWpVkiRJksZGZ2hIsgxwC7A5sCW90HBRVd06A7VJkiRJGgOdoaGq7kpyaFXtBCyYoZokSZIkjZFBrmk4OclzkmTo1UiSJEkaO6mq7gWSm4CV6V38fAu9IUpVVasNvzwBbLnqqnXkIx816jKkJWqX004ddQmSJKlPkrOrau5U8wZ5IvSqS74kSZIkSfcVg9w9iSR7ADsDBfygqr461KokSZIkjY2FXtOQ5HDgAOB84ALggCT/O+zCJEmSJI2HQXoadgG2rnbxQ5JP0QsQkiRJkmaBQe6edDGwYd/0Bnj7VUmSJGnWGKSn4QHAz5Oc2aa3B85IcgJAVT1zWMVJkiRJGr1BQsNbh16FJEmSpLE1yC1XvZm6JEmSNIsNck2DJEmSpFnM0CBJkiSp00ChIcmKSbYcdjGSJEmSxs8gD3d7BnAucFKb3nbizkmSJEmSln6D9DQcAuwAXA9QVecCGw+vJEmSJEnjZJDQcEdV3TD0SiRJkiSNpUFCwwVJng/MSbJ5ko8APxpyXWMvyfpJvpbkkiSXJvlQkuXb8K2njbo+SZIkaUkZJDS8EngYcCtwLHAj8OphFjXukgT4CvDVqtoc2AJYBXg3sC0wZWhIMsjD9CRJkqSxMsjD3W4G3ty+1PME4K9VdRRAVd2Z5DXAr4Db6eWKnYH3AA8B1qV3Hcg1SfYDjgDmAncAB1XVKTN/CJIkSdJgpg0NSU4Earr5VfXMoVR03/Aw4Oz+hqq6MckVwFHAFlX1CoAkhwDbATtX1S1JXtuWf3iSrYCTk2xRVX/t316S/YH9AR60wgpDPhxJkiRpel3Dk/4bOBS4HLgF+Hj7+jNwwfBLG2th6kA1XfsJVXVLe70z8BmAqrqIXu/EFpNXqKojq2puVc1dfbnllkzVkiRJ0mKYtqehqk4FSPLOqnpc36wTk5w29MrG24XAc/obkqwGbADcOcXyf+lfdIh1SZIkSUvcIBdCr51k04mJJJsAaw+vpPuE7wErJXkRQJI59Hpljgb+CKzase5pwD5tvS2ADYGLh1msJEmSdG8MEhpeA8xLMi/JPOAU4FVDrWrMVVUBzwb2SnIJ8Avgr8Cb6L0/D01ybpK9p1j9cHq3rz0f+AKwb1XdOkOlS5IkSYtskLsnnZRkc2Cr1nSRH3Khqn4DPGOKWbcC23es91dg3yGVJUmSJC1xAz03oIWE84ZciyRJkqQxNMjwJEmSJEmzmKFBkiRJUqeBhicleSYwcdvVU6vqxOGVJEmSJGmcLLSnIcl76N0t6Wft68DWJkmSJGkWGKSn4Z+BbavqLoAknwLOAQ4eZmGSJEmSxsOg1zSs0fd69WEUIkmSJGk8DdLT8B7gnCSnAKF3bYO9DJIkSdIsMcjD3Y5tT4KeeGDZ/6mqPwy1KkmSJEljY6C7JwE7ATsDBcwBjh9aRZIkSZLGyiB3TzocOAA4H7gAeFmS/x12YZIkSZLGwyA9DbsAW1dVwd/unnT+UKuSJEmSNDYGCQ0XAxsCv2rTGwALhlaR7mHVLbdkl9NOHXUZkiRJmqUGCQ0PAH6e5Mw2vT1wRpITAKrqmcMqTpIkSdLoDRIa3jr0KiRJkiSNrUFuueq4GEmSJGkWmzY0JPlhVe2c5CZ6t1r92yygqmq1oVcnSZIkaeS6ehpWBqiqVWeoFkmSJEljqOs5DdUxT5IkSdIs0dXT8MAkB003s6o+MIR6JEmSJI2ZrtAwB1iF3jUMkiRJkmaprtBwZVW9Y8Yq0bSu+u0NHPbaE0ddhmbYKw59xqhLkCRJArqvabCHQZIkSVJnaHjijFUhSZIkaWxNGxqq6tqZLESSJEnSeOrqaZAkSZIkQ4MkSZKkboYGSZIkSZ0MDZIkSZI6GRokSZIkdTI0SJIkSepkaJAkSZLUydAgSZIkqZOhQZIkSVInQ4MkSZKkToYGSZIkSZ1mTWhI8uAkn09yaZKfJflmki0WcRvzkswdVo2SJEnSOJoVoSFJgOOBeVW1WVU9FHgT8KAZrGHOTO1LkiRJWpJmRWgAHg/cXlUfnWioqnOBHyZ5f5ILkpyfZO+J+Une0NrOS/Levm3tleTMJL9I8o9t2TltO2clWZDkZa191ySnJPkccH5r+2qSs5NcmGT/mTh4SZIk6d5YdtQFzJCtgbOnaN8D2BbYBlgLOCvJaa3tWcCjq+rmJGv2rbNsVe2Q5GnA24DdgJcCN1TV9klWAE5PcnJbfgdg66q6vE3vV1XXJlmx7e/LVfWnyYW1QLE/wP1XXfveHb0kSZJ0L8yW0DCdnYFjq+pO4I9JTgW2B3YBjqqqmwGq6tq+db7Svp8NbNxePwl4RJI92/TqwObAbcCZfYEB4MAkz26vN2jL3SM0VNWRwJEAGz5487o3BylJkiTdG7MlNFwI7DlFe6ZZPsB0H9Rvbd/v5O/vX4BXVtW377aRZFfgL5OmdwN2aj0Y84D7Lbx8SZIkaXRmyzUN3wdWSPJvEw1JtgeuA/Zu1ySsDTwOOBM4GdgvyUpt2TWn2Ga/bwP/nmS5tvwWSVaeYrnVgetaYNgK2PHeHpgkSZI0bLOip6Gqqg0J+mCSNwJ/Ba4AXg2sApxHr2fhDVX1B+CkJNsC85PcBnyT3t2WpvMJekOVftru1HQ1vWsiJjsJOCDJAuBi4MdL4PAkSZKkoUqVw+XH3YYP3rzesM8HRl2GZtgrDn3GqEuQJEmzSJKzq2rKZ5LNluFJkiRJkhaToUGSJElSJ0ODJEmSpE6GBkmSJEmdDA2SJEmSOhkaJEmSJHUyNEiSJEnqZGiQJEmS1MnQIEmSJKmToUGSJElSJ0ODJEmSpE6GBkmSJEmdlh11AVq4B66/Oq849BmjLkOSJEmzlD0NkiRJkjoZGiRJkiR1MjRIkiRJ6mRokCRJktTJ0CBJkiSpk6FBkiRJUidDgyRJkqROhgZJkiRJnQwNkiRJkjr5ROj7gCsvv5R3v2DPUZehEXrzMceNugRJkjSL2dMgSZIkqZOhQZIkSVInQ4MkSZKkToYGSZIkSZ0MDZIkSZI6GRokSZIkdTI0SJIkSepkaJAkSZLUydAgSZIkqZOhQZIkSVInQ4MkSZKkToYGSZIkSZ0MDZIkSZI6GRoWQ5JHJ9l11HVIkiRJM2GpDg1J7kxybpILk5yX5KAk9+qYk2wNHACcsZDl3pFkt/b61UlWujf7lSRJkkZl2VEXMGS3VNW2AEkeCHwOWB142+JusKouAF4ywHJv7Zt8NXAMcPPi7leSJEkalaW6p6FfVV0F7A+8Ij1zkrw/yVlJFiR5GUCSXZOcluT4JD9L8tGJ3okkz0tyfpILkryvtc1JcnRrOz/Ja1r70Un2THIgsC5wSpJTptuOJEmSNK6W9p6Gu6mqy1oAeCCwO3BDVW2fZAXg9CQnt0V3AB4K/Ao4CdgjyY+A9wHbAdcBJyd5FvAbYL2q2hogyRqT9vnhJAcBj6+qa5KsO9V2quqr/esl2Z9eyGH1lVZc4u+FJEmSNKhZ09PQJ+37k4AXJTkX+AnwAGDzNu/Mqrqsqu4EjgV2BrYH5lXV1VV1B/BZ4HHAZcCmST6S5CnAjQvZ/3TbuZuqOrKq5lbV3JXvt8K9OmBJkiTp3phVoSHJpsCdwFX0wsMrq2rb9rVJVU30NNSkVYu/h427z6i6DtgGmAe8HPjEwspYzPIlSZKkkZg1oSHJ2sBHgcOqqoBvA/+eZLk2f4skK7fFd0iySRvKtDfwQ3q9EbskWSvJHOB5wKlJ1gKWqaovA28BHjXF7m8CVm2vp9zOMI5ZkiRJWhKW9msaVmzDj5YD7gA+A3ygzfsEsDHw0yQBrgae1eadAbwXeDhwGnB8Vd2V5GDgFHq9Bd+sqq8l2QY4qu9WrgdPUceRwLeSXFlVj59qO0v0qCVJkqQlKL0/umtCe2jb66rq6aOuZcJ6D7h//cdTnzjqMjRCbz7muFGXIEmSlnJJzq6quVPNmzXDkyRJkiQtnqV9eNIiq6p59C5qliRJkoQ9DZIkSZIWwtAgSZIkqZOhQZIkSVInQ4MkSZKkToYGSZIkSZ0MDZIkSZI6GRokSZIkdTI0SJIkSepkaJAkSZLUydAgSZIkqdOyoy5AC7fOJpvx5mOOG3UZkiRJmqXsaZAkSZLUydAgSZIkqZOhQZIkSVKnVNWoa9BCJLkJuHjUdcxyawHXjLqIWc5zMHqeg/HgeRg9z8HoeQ6GY6OqWnuqGV4Ifd9wcVXNHXURs1mS+Z6D0fIcjJ7nYDx4HkbPczB6noOZ5/AkSZIkSZ0MDZIkSZI6GRruG44cdWtRneIAAAobSURBVAHyHIwBz8HoeQ7Gg+dh9DwHo+c5mGFeCC1JkiSpkz0NkiRJkjoZGiRJkiR1MjSMsSRPSXJxkl8meeOo61laJdkgySlJfp7kwiSvau1rJvlOkkva9/u39iT5cDsvC5I8arRHsPRIMifJOUm+3qY3SfKTdg6+kGT51r5Cm/5lm7/xKOtemiRZI8lxSS5qvxM7+bsws5K8pv1bdEGSY5Pcz9+F4UryySRXJbmgr22Rf+6TvLgtf0mSF4/iWO7LpjkP72//Hi1IcnySNfrmHdzOw8VJntzX7uenITA0jKkkc4D/BZ4KPBR4XpKHjraqpdYdwGur6iHAjsDL23v9RuB7VbU58L02Db1zsnn72h84YuZLXmq9Cvh53/T7gP9p5+A64KWt/aXAdVX1D8D/tOW0ZHwIOKmqtgK2oXc+/F2YIUnWAw4E5lbV1sAc4Ln4uzBsRwNPmdS2SD/3SdYE3gY8GtgBeNtE0NDAjuae5+E7wNZV9QjgF8DBAO3/6ecCD2vrHN7+8OTnpyExNIyvHYBfVtVlVXUb8Hlg9xHXtFSqqiur6qft9U30PiStR+/9/lRb7FPAs9rr3YFPV8+PgTWSrDPDZS91kqwP/DPwiTYd4AnAcW2Ryedg4twcBzyxLa97IclqwOOA/wdQVbdV1fX4uzDTlgVWTLIssBJwJf4uDFVVnQZcO6l5UX/unwx8p6qurarr6H3YnfwBWB2mOg9VdXJV3dEmfwys317vDny+qm6tqsuBX9L77OTnpyExNIyv9YDf9E3/trVpiFrX/iOBnwAPqqoroRcsgAe2xTw3w/FB4A3AXW36AcD1ff9Z9L/PfzsHbf4NbXndO5sCVwNHtWFin0iyMv4uzJiq+h3w38Cv6YWFG4Cz8XdhFBb1597fh+HbD/hWe+15mGGGhvE11V+KvD/uECVZBfgy8OqqurFr0SnaPDf3QpKnA1dV1dn9zVMsWgPM0+JbFngUcERVPRL4C38fkjEVz8MS1oaz7A5sAqwLrExvmMVk/i6MznTvuediiJK8md5w4s9ONE2xmOdhiAwN4+u3wAZ90+sDvx9RLUu9JMvRCwyfraqvtOY/Tgy1aN+vau2emyXvscAzk1xBryv5CfR6HtZoQzTg7u/z385Bm7869xxaoEX3W+C3VfWTNn0cvRDh78LM2Q24vKqurqrbga8Aj8HfhVFY1J97fx+GpF1U/nRgn/r7A8Y8DzPM0DC+zgI2b3fMWJ7exT4njLimpVIb//v/gJ9X1Qf6Zp0ATNz94sXA1/raX9TuoLEjcMNEF7YWT1UdXFXrV9XG9H7Wv19V+wCnAHu2xSafg4lzs2db3r8k3UtV9QfgN0m2bE1PBH6Gvwsz6dfAjklWav82TZwDfxdm3qL+3H8beFKS+7ceoye1Nt0LSZ4C/B/gmVV1c9+sE4DntjuIbULvwvQz8fPT0PhE6DGW5Gn0/to6B/hkVb17xCUtlZLsDPwAOJ+/j6d/E73rGr4IbEjvP/K9qura9h/5YfQucLsZeElVzZ/xwpdSSXYFXldVT0+yKb2ehzWBc4AXVNWtSe4HfIbe9SfXAs+tqstGVfPSJMm29C5GXx64DHgJvT8w+bswQ5K8Hdib3lCMc4B/pTcm29+FIUlyLLArsBbwR3p3Qfoqi/hzn2Q/ev9/ALy7qo6ayeO4r5vmPBwMrAD8qS3246o6oC3/ZnrXOdxBb2jxt1q7n5+GwNAgSZIkqZPDkyRJkiR1MjRIkiRJ6mRokCRJktTJ0CBJkiSpk6FBknQ3SV7eHnYoSRJgaJCkWSNJJTm0b/p1SQ6ZtMwLgTWr6s8zXd90khydZM+FLzl8Sb6ZZI1FWH7fJIct4j6uSLLWolcnScNjaJCk2eNWYI+FfCCdA7xrGDvve6LxyC1uLVX1tKq6fknXI0njztAgSbPHHcCRwGsmz5j4a35VHV1VleTPrX3XJKcm+WKSXyR5b5J9kpyZ5Pwkm7Xl1k7y5SRnta/HtvZDkhyZ5GTg00nul+Sotu45SR4/RS1JcliSnyX5BvDAvnnbtXrOTvLtJOtMcywfTfKDVvPTW/u+Sb6U5ETg5Laf9ye5oNWzd98xn5bk+FbDR5Ms0+b9rRcgyQva+3Buko8lmdPaX9L2eyrw2L66npHkJ+24v5vkQa39AUlObu0fA9K3zj320b6O7qv7HudTkpY0Q4MkzS7/C+yTZPVFWGcb4FXAw4EXAltU1Q70nhz9yrbMh4D/qartgee0eRO2A3avqucDLweoqocDzwM+1Z5q3O/ZwJZtf/8GPAYgyXLAR4A9q2o74JPAdE963RjYBfhn4KN9+9gJeHFVPQHYA9i2Hd9uwPv7QsgOwGtbDZu1Zf8myUPoPbX5sVW1LXAnvfd1HeDt9MLCPwEP7Vvth8COVfVIek93fkNrfxvww9Z+Ar0nEE+7j1bzelW1dXsffeqwpKEbm65iSdLwVdWNST4NHAjcMuBqZ1XVlQBJLgVObu3nAxM9BbsBD03+9kfy1ZKs2l6fUFUT+9qZ3gd/quqiJL8CtgAW9O3vccCxVXUn8Psk32/tWwJbA99p+5kDXDlNzV+sqruAS5JcBmzV2r9TVdf21TKxnz+2noHtgRuBM6vqsnbMx7Zlj+vb/hPphaGzWi0rAlcBjwbmVdXVbd0vtOMDWB/4QgsWywOX9x3vHu09+UaS6xayjxOBTZN8BPgGfz8fkjQ0hgZJmn0+CPyUu/+F+g5a73N6n1CX75t3a9/ru/qm7+Lv/48sA+zUFw5o2wL4S3/TgDXWFG0BLqyqnRZj/YnpQWuZbv3+dT9VVQffrTF51hTLTvgI8IGqOiHJrsAhHdufdh9tP9sAT6bXc/MvwH7T7FOSlgiHJ0nSLNP+0v5F4KV9zVfQ+6s2wO7Acou42ZOBV0xMJNl2muVOozfEhiRb0BuKc/EUyzy3jd1fh7/3ZlwMrJ1kp7b+ckkeNs1+9kqyTLvmYtMp9jGxn73bftam9xf/M9u8HZJs0q5l2Jve0KJ+3wP2TPLAVsuaSTYCfgLs2q5TWA7Yq2+d1YHftdcvnuY9eSpw/659tGsqlqmqLwNvAR41zXsgSUuMoUGSZqdDgf67KH0c2CXJmfSG2PxlyrWmdyAwN8mCJD8DDphmucOBOUnOB74A7FtVt05a5njgEnrDn44ATgWoqtuAPYH3JTkPOJd2vcMULm7rfQs4oKr+OsUyx9MbFnUe8H3gDVX1hzbvDOC9wAX0hhEd379iVf0M+E96F1QvAL4DrNOGcR3S1v8uvR6dCYcAX0ryA+Cavva3A49L8lPgScCvu/YBrAfMS3IucDRwj54ISVrSUjVdL6okSfc9SY4Gvl5Vxy1s2WnW3xV4XVU9fUnWJUn3ZfY0SJIkSepkT4MkSZKkTvY0SJIkSepkaJAkSZLUydAgSZIkqZOhQZIkSVInQ4MkSZKkToYGSZIkSZ3+P7ALS1syMoEtAAAAAElFTkSuQmCC\n",
      "text/plain": [
       "<Figure size 864x360 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "plt.figure(figsize=(12, 5))\n",
    "sns.countplot(y ='property_type', data = df[indexb]) \n",
    "plt.title('Tipos de propiedades')\n",
    "plt.xlabel('Número de propiedades')\n",
    "plt.ylabel('Tipo de propiedades')\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "colab_type": "text",
    "id": "zmHRGis7C4Ow"
   },
   "source": [
    "4. ¿De qué regiones son las publicaciones? Haz gráficos de barras para las variables `l2` y `l3`. Si te animas, puedes hacer los dos gráficos usando `subplot` de Matplotlib. Dale un tamaño apropiado a la figura para que ambos gráficos se visualicen correctamente."
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Analizamos L2 y L3"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 14,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "Capital Federal             92539\n",
       "Bs.As. G.B.A. Zona Norte    24282\n",
       "Bs.As. G.B.A. Zona Sur      17173\n",
       "Bs.As. G.B.A. Zona Oeste    12666\n",
       "Name: l2, dtype: int64"
      ]
     },
     "execution_count": 14,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df[\"l2\"].value_counts()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 15,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "Palermo            13073\n",
       "Tigre               8718\n",
       "Almagro             7527\n",
       "Belgrano            6935\n",
       "Caballito           6650\n",
       "                   ...  \n",
       "Cañuelas             108\n",
       "Villa Soldati         69\n",
       "Villa Riachuelo       42\n",
       "Marcos Paz            35\n",
       "Catalinas              5\n",
       "Name: l3, Length: 89, dtype: int64"
      ]
     },
     "execution_count": 15,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df[\"l3\"].value_counts()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Hacemos el Subplot de L2 y L3"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 16,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<matplotlib.axes._subplots.AxesSubplot at 0x7f906d97b750>"
      ]
     },
     "execution_count": 16,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 864x720 with 2 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "fig, axarr = plt.subplots(2, 1, figsize=(12, 10))\n",
    "\n",
    "df['l2'].value_counts().sort_index().plot.bar(\n",
    "    ax=axarr[0]\n",
    ")\n",
    "plt.xticks(rotation = 90)\n",
    "\n",
    "df['l3'].value_counts().head(20).plot.bar(\n",
    "    ax=axarr[1]\n",
    ")"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "colab_type": "text",
    "id": "XJCDt8ctC4O3"
   },
   "source": [
    "5. **Filtrando el Dataset:** A partir de los resultados del punto 3. y 4., selecciona las tres clases más abundantes de tipos de propiedad y la región con más propiedades publicadas. Crea un nuevo Data Frame con aquellas instancias que cumplen con esas condiciones e imprime su `shape`."
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Filtramos El DS "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 17,
   "metadata": {
    "colab": {},
    "colab_type": "code",
    "id": "vbmACahUC4O6"
   },
   "outputs": [],
   "source": [
    "filter1 = df[\"property_type\"].isin([\"Departamento\",\"Casa\",\"PH\"]) \n",
    "filter2 = df[\"l2\"].isin([\"Capital Federal\"]) "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 18,
   "metadata": {},
   "outputs": [],
   "source": [
    "df2 = df[filter1 & filter2]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 19,
   "metadata": {
    "scrolled": true
   },
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>start_date</th>\n",
       "      <th>end_date</th>\n",
       "      <th>created_on</th>\n",
       "      <th>lat</th>\n",
       "      <th>lon</th>\n",
       "      <th>l1</th>\n",
       "      <th>l2</th>\n",
       "      <th>l3</th>\n",
       "      <th>rooms</th>\n",
       "      <th>bedrooms</th>\n",
       "      <th>bathrooms</th>\n",
       "      <th>surface_total</th>\n",
       "      <th>surface_covered</th>\n",
       "      <th>price</th>\n",
       "      <th>currency</th>\n",
       "      <th>title</th>\n",
       "      <th>description</th>\n",
       "      <th>property_type</th>\n",
       "      <th>operation_type</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>2019-10-17</td>\n",
       "      <td>2019-12-23</td>\n",
       "      <td>2019-10-17</td>\n",
       "      <td>-34.605880</td>\n",
       "      <td>-58.384949</td>\n",
       "      <td>Argentina</td>\n",
       "      <td>Capital Federal</td>\n",
       "      <td>San Cristobal</td>\n",
       "      <td>7.0</td>\n",
       "      <td>7.0</td>\n",
       "      <td>2.0</td>\n",
       "      <td>140.0</td>\n",
       "      <td>140.0</td>\n",
       "      <td>153000.0</td>\n",
       "      <td>USD</td>\n",
       "      <td>***Venta semipiso centro, ideal hostel*****</td>\n",
       "      <td>DESCRIPCION DE LA PROPIEDAD: Departamento de 1...</td>\n",
       "      <td>Departamento</td>\n",
       "      <td>Venta</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>2019-10-17</td>\n",
       "      <td>2019-11-21</td>\n",
       "      <td>2019-10-17</td>\n",
       "      <td>-34.624056</td>\n",
       "      <td>-58.412110</td>\n",
       "      <td>Argentina</td>\n",
       "      <td>Capital Federal</td>\n",
       "      <td>Boedo</td>\n",
       "      <td>2.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>2.0</td>\n",
       "      <td>70.0</td>\n",
       "      <td>58.0</td>\n",
       "      <td>159000.0</td>\n",
       "      <td>USD</td>\n",
       "      <td>Espectacular PH reciclado en Boedo sin expensas.</td>\n",
       "      <td>PH reciclado en Boedo a una cuadra de la plaz...</td>\n",
       "      <td>PH</td>\n",
       "      <td>Venta</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>2019-10-17</td>\n",
       "      <td>2019-11-01</td>\n",
       "      <td>2019-10-17</td>\n",
       "      <td>-34.593569</td>\n",
       "      <td>-58.427474</td>\n",
       "      <td>Argentina</td>\n",
       "      <td>Capital Federal</td>\n",
       "      <td>Palermo</td>\n",
       "      <td>2.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>45.0</td>\n",
       "      <td>45.0</td>\n",
       "      <td>125000.0</td>\n",
       "      <td>USD</td>\n",
       "      <td>Depto.tipo casa de 2 ambientes en Venta en Pal...</td>\n",
       "      <td>2 ambienets amplio , excelente estado , patio ...</td>\n",
       "      <td>PH</td>\n",
       "      <td>Venta</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>2019-10-17</td>\n",
       "      <td>2019-12-23</td>\n",
       "      <td>2019-10-17</td>\n",
       "      <td>-34.581294</td>\n",
       "      <td>-58.436754</td>\n",
       "      <td>Argentina</td>\n",
       "      <td>Capital Federal</td>\n",
       "      <td>Palermo</td>\n",
       "      <td>2.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>85.0</td>\n",
       "      <td>50.0</td>\n",
       "      <td>295000.0</td>\n",
       "      <td>USD</td>\n",
       "      <td>COSTA RICA 5800 / PALERMO HOLLYWOOD / VENTA PH...</td>\n",
       "      <td>HERMOSO PH EN PALERMO!!!2 AMBIENTES TOTALMENTE...</td>\n",
       "      <td>PH</td>\n",
       "      <td>Venta</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>5</th>\n",
       "      <td>2019-10-17</td>\n",
       "      <td>2019-11-01</td>\n",
       "      <td>2019-10-17</td>\n",
       "      <td>-34.593779</td>\n",
       "      <td>-58.441239</td>\n",
       "      <td>Argentina</td>\n",
       "      <td>Capital Federal</td>\n",
       "      <td>Villa Crespo</td>\n",
       "      <td>2.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>56.0</td>\n",
       "      <td>56.0</td>\n",
       "      <td>150000.0</td>\n",
       "      <td>USD</td>\n",
       "      <td>Depto.tipo casa de 2 ambientes en Venta en Vil...</td>\n",
       "      <td>Excelente ph solo 2 unidades, no paga expensas...</td>\n",
       "      <td>PH</td>\n",
       "      <td>Venta</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>...</th>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>146554</th>\n",
       "      <td>2019-07-31</td>\n",
       "      <td>2019-08-14</td>\n",
       "      <td>2019-07-31</td>\n",
       "      <td>-34.585355</td>\n",
       "      <td>-58.427194</td>\n",
       "      <td>Argentina</td>\n",
       "      <td>Capital Federal</td>\n",
       "      <td>Palermo</td>\n",
       "      <td>4.0</td>\n",
       "      <td>3.0</td>\n",
       "      <td>3.0</td>\n",
       "      <td>175.0</td>\n",
       "      <td>111.0</td>\n",
       "      <td>570000.0</td>\n",
       "      <td>USD</td>\n",
       "      <td>Soler 4900 - PH 4 Ambientes 100% Reciclado- Pa...</td>\n",
       "      <td>Espectacular Ph 4 Ambientes de excelente calid...</td>\n",
       "      <td>PH</td>\n",
       "      <td>Venta</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>146555</th>\n",
       "      <td>2019-07-31</td>\n",
       "      <td>2019-08-14</td>\n",
       "      <td>2019-07-31</td>\n",
       "      <td>-34.585355</td>\n",
       "      <td>-58.427194</td>\n",
       "      <td>Argentina</td>\n",
       "      <td>Capital Federal</td>\n",
       "      <td>Palermo</td>\n",
       "      <td>3.0</td>\n",
       "      <td>2.0</td>\n",
       "      <td>2.0</td>\n",
       "      <td>144.0</td>\n",
       "      <td>134.0</td>\n",
       "      <td>480000.0</td>\n",
       "      <td>USD</td>\n",
       "      <td>PH Reciclado a nuevo en pleno Palermo Hollywood!</td>\n",
       "      <td>Espectacular Ph 3 Ambientes de excelente calid...</td>\n",
       "      <td>PH</td>\n",
       "      <td>Venta</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>146556</th>\n",
       "      <td>2019-07-31</td>\n",
       "      <td>2020-01-17</td>\n",
       "      <td>2019-07-31</td>\n",
       "      <td>-34.584134</td>\n",
       "      <td>-58.436389</td>\n",
       "      <td>Argentina</td>\n",
       "      <td>Capital Federal</td>\n",
       "      <td>Palermo</td>\n",
       "      <td>4.0</td>\n",
       "      <td>2.0</td>\n",
       "      <td>2.0</td>\n",
       "      <td>317.0</td>\n",
       "      <td>143.0</td>\n",
       "      <td>530000.0</td>\n",
       "      <td>USD</td>\n",
       "      <td>Hermoso PH reciclado - 4 ambientes + Pileta + ...</td>\n",
       "      <td>Hermoso PH reciclado en Palermo, 143 m2 cubier...</td>\n",
       "      <td>PH</td>\n",
       "      <td>Venta</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>146557</th>\n",
       "      <td>2019-07-31</td>\n",
       "      <td>2019-08-23</td>\n",
       "      <td>2019-07-31</td>\n",
       "      <td>-34.583995</td>\n",
       "      <td>-58.417645</td>\n",
       "      <td>Argentina</td>\n",
       "      <td>Capital Federal</td>\n",
       "      <td>Palermo</td>\n",
       "      <td>3.0</td>\n",
       "      <td>2.0</td>\n",
       "      <td>2.0</td>\n",
       "      <td>145.0</td>\n",
       "      <td>145.0</td>\n",
       "      <td>420000.0</td>\n",
       "      <td>USD</td>\n",
       "      <td>Venta. Departamento. 3 Ambientes. 145m². Ampli...</td>\n",
       "      <td>CARACTERÍSTICAS- Ambientes: 3.- Superficie tot...</td>\n",
       "      <td>Departamento</td>\n",
       "      <td>Venta</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>146558</th>\n",
       "      <td>2019-07-31</td>\n",
       "      <td>2020-01-17</td>\n",
       "      <td>2019-07-31</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>Argentina</td>\n",
       "      <td>Capital Federal</td>\n",
       "      <td>Palermo</td>\n",
       "      <td>4.0</td>\n",
       "      <td>3.0</td>\n",
       "      <td>5.0</td>\n",
       "      <td>220.0</td>\n",
       "      <td>210.0</td>\n",
       "      <td>1470000.0</td>\n",
       "      <td>USD</td>\n",
       "      <td>TORRE DECO SEGUI ESPECTACULAR UNIDAD DE 4 AMB ...</td>\n",
       "      <td>EXCLUSIVO Torre Deco Seguí Oportunidad de Inve...</td>\n",
       "      <td>Departamento</td>\n",
       "      <td>Venta</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>91485 rows × 19 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "        start_date    end_date  created_on        lat        lon         l1  \\\n",
       "0       2019-10-17  2019-12-23  2019-10-17 -34.605880 -58.384949  Argentina   \n",
       "1       2019-10-17  2019-11-21  2019-10-17 -34.624056 -58.412110  Argentina   \n",
       "2       2019-10-17  2019-11-01  2019-10-17 -34.593569 -58.427474  Argentina   \n",
       "3       2019-10-17  2019-12-23  2019-10-17 -34.581294 -58.436754  Argentina   \n",
       "5       2019-10-17  2019-11-01  2019-10-17 -34.593779 -58.441239  Argentina   \n",
       "...            ...         ...         ...        ...        ...        ...   \n",
       "146554  2019-07-31  2019-08-14  2019-07-31 -34.585355 -58.427194  Argentina   \n",
       "146555  2019-07-31  2019-08-14  2019-07-31 -34.585355 -58.427194  Argentina   \n",
       "146556  2019-07-31  2020-01-17  2019-07-31 -34.584134 -58.436389  Argentina   \n",
       "146557  2019-07-31  2019-08-23  2019-07-31 -34.583995 -58.417645  Argentina   \n",
       "146558  2019-07-31  2020-01-17  2019-07-31        NaN        NaN  Argentina   \n",
       "\n",
       "                     l2             l3  rooms  bedrooms  bathrooms  \\\n",
       "0       Capital Federal  San Cristobal    7.0       7.0        2.0   \n",
       "1       Capital Federal          Boedo    2.0       1.0        2.0   \n",
       "2       Capital Federal        Palermo    2.0       1.0        1.0   \n",
       "3       Capital Federal        Palermo    2.0       1.0        1.0   \n",
       "5       Capital Federal   Villa Crespo    2.0       1.0        1.0   \n",
       "...                 ...            ...    ...       ...        ...   \n",
       "146554  Capital Federal        Palermo    4.0       3.0        3.0   \n",
       "146555  Capital Federal        Palermo    3.0       2.0        2.0   \n",
       "146556  Capital Federal        Palermo    4.0       2.0        2.0   \n",
       "146557  Capital Federal        Palermo    3.0       2.0        2.0   \n",
       "146558  Capital Federal        Palermo    4.0       3.0        5.0   \n",
       "\n",
       "        surface_total  surface_covered      price currency  \\\n",
       "0               140.0            140.0   153000.0      USD   \n",
       "1                70.0             58.0   159000.0      USD   \n",
       "2                45.0             45.0   125000.0      USD   \n",
       "3                85.0             50.0   295000.0      USD   \n",
       "5                56.0             56.0   150000.0      USD   \n",
       "...               ...              ...        ...      ...   \n",
       "146554          175.0            111.0   570000.0      USD   \n",
       "146555          144.0            134.0   480000.0      USD   \n",
       "146556          317.0            143.0   530000.0      USD   \n",
       "146557          145.0            145.0   420000.0      USD   \n",
       "146558          220.0            210.0  1470000.0      USD   \n",
       "\n",
       "                                                    title  \\\n",
       "0             ***Venta semipiso centro, ideal hostel*****   \n",
       "1        Espectacular PH reciclado en Boedo sin expensas.   \n",
       "2       Depto.tipo casa de 2 ambientes en Venta en Pal...   \n",
       "3       COSTA RICA 5800 / PALERMO HOLLYWOOD / VENTA PH...   \n",
       "5       Depto.tipo casa de 2 ambientes en Venta en Vil...   \n",
       "...                                                   ...   \n",
       "146554  Soler 4900 - PH 4 Ambientes 100% Reciclado- Pa...   \n",
       "146555  PH Reciclado a nuevo en pleno Palermo Hollywood!    \n",
       "146556  Hermoso PH reciclado - 4 ambientes + Pileta + ...   \n",
       "146557  Venta. Departamento. 3 Ambientes. 145m². Ampli...   \n",
       "146558  TORRE DECO SEGUI ESPECTACULAR UNIDAD DE 4 AMB ...   \n",
       "\n",
       "                                              description property_type  \\\n",
       "0       DESCRIPCION DE LA PROPIEDAD: Departamento de 1...  Departamento   \n",
       "1        PH reciclado en Boedo a una cuadra de la plaz...            PH   \n",
       "2       2 ambienets amplio , excelente estado , patio ...            PH   \n",
       "3       HERMOSO PH EN PALERMO!!!2 AMBIENTES TOTALMENTE...            PH   \n",
       "5       Excelente ph solo 2 unidades, no paga expensas...            PH   \n",
       "...                                                   ...           ...   \n",
       "146554  Espectacular Ph 4 Ambientes de excelente calid...            PH   \n",
       "146555  Espectacular Ph 3 Ambientes de excelente calid...            PH   \n",
       "146556  Hermoso PH reciclado en Palermo, 143 m2 cubier...            PH   \n",
       "146557  CARACTERÍSTICAS- Ambientes: 3.- Superficie tot...  Departamento   \n",
       "146558  EXCLUSIVO Torre Deco Seguí Oportunidad de Inve...  Departamento   \n",
       "\n",
       "       operation_type  \n",
       "0               Venta  \n",
       "1               Venta  \n",
       "2               Venta  \n",
       "3               Venta  \n",
       "5               Venta  \n",
       "...               ...  \n",
       "146554          Venta  \n",
       "146555          Venta  \n",
       "146556          Venta  \n",
       "146557          Venta  \n",
       "146558          Venta  \n",
       "\n",
       "[91485 rows x 19 columns]"
      ]
     },
     "execution_count": 19,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df2"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 20,
   "metadata": {
    "scrolled": true
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "(91485, 19)"
      ]
     },
     "execution_count": 20,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df2.shape"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### El checkpoint nos da correctamente"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "colab_type": "text",
    "id": "bXSMm-aOC4O-"
   },
   "source": [
    "**Checkpoint:** deberías tener un dataset con 91485 instacias, 19 columnas.\n",
    "\n",
    "6. **Distribuciones y relaciones de a pares:** Estudia la distribución y las relaciones de a pares de las variables `rooms`, `bedrooms`, `bathrooms`, `surface_total`, `surface_covered`, `price` para cada tipo de propiedad. Para ello, ten en cuenta:\n",
    "    1. Obtiene estadísticos que te sirvan para tener una primera idea de los valores que abarcan estas variables. ¿Cuáles crees que toman valores que tal vez no tengan mucho sentido?\n",
    "    1. Algunas instancias tienen valores de superficie (`surface_total`) muy grandes y dificultan la correcta visualización. Estudia la distribución de esa variable y filtra por un valor razonable que te permita obtener gráficos comprensibles. Puede ser útil un boxplot para determinar un rango razonable.\n",
    "    1. Lo mismo ocurre con valores de superficie total muy chico.\n",
    "    1. Las propiedades no pueden tener `surface_covered` mayor a `surface_total`. Si eso sucede, debes filtrar esas instancias.\n",
    "    1. El rango de precios que toman las propiedades es muy amplio. Estudia la distribución de esa variable y filtra por un valor razonable que te permita obtener gráficos comprensibles. Puede ser útil un boxplot para determinar un rango razonable.\n",
    "    1. Una vez filtrado el dataset, puedes utilizar la función `pairplot` de Seaborn."
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Analizamos la distribución de Surface_total"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 21,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "0.010     27.0\n",
       "0.015     30.0\n",
       "0.020     30.0\n",
       "0.025     32.0\n",
       "0.300     56.0\n",
       "0.400     67.0\n",
       "0.500     78.0\n",
       "0.600     95.0\n",
       "0.700    120.0\n",
       "0.800    168.0\n",
       "0.850    210.0\n",
       "0.900    289.0\n",
       "0.930    364.0\n",
       "0.950    473.0\n",
       "0.980    941.0\n",
       "Name: surface_total, dtype: float64"
      ]
     },
     "execution_count": 21,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df['surface_total'].quantile([ 0.01, .015, .02, .025, .3, .4, .5, .6, .7, .8, .85, .9, .93, .95, .98])"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Analizamos la distribución de Surface_covered"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 22,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "0.010        25.0\n",
       "0.015        27.0\n",
       "0.020        28.0\n",
       "0.025        30.0\n",
       "0.300        50.0\n",
       "0.400        58.0\n",
       "0.500        68.0\n",
       "0.600        80.0\n",
       "0.700        96.0\n",
       "0.800       123.0\n",
       "0.850       146.0\n",
       "0.900       180.0\n",
       "0.930       209.0\n",
       "0.950       241.0\n",
       "0.980       345.0\n",
       "1.000    126062.0\n",
       "Name: surface_covered, dtype: float64"
      ]
     },
     "execution_count": 22,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df['surface_covered'].quantile([ 0.01, .015, .02, .025, .3, .4, .5, .6, .7, .8, .85, .9, .93, .95, .98, 1])"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Analizamos la distribución de Prices"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 23,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "0.010       45693.0\n",
       "0.015       50000.0\n",
       "0.020       54900.0\n",
       "0.025       57000.0\n",
       "0.300      120000.0\n",
       "0.400      143000.0\n",
       "0.500      166000.0\n",
       "0.600      198000.0\n",
       "0.700      240000.0\n",
       "0.800      298000.0\n",
       "0.850      350000.0\n",
       "0.900      430000.0\n",
       "0.930      520000.0\n",
       "0.950      620000.0\n",
       "0.980     1000000.0\n",
       "1.000    32434232.0\n",
       "Name: price, dtype: float64"
      ]
     },
     "execution_count": 23,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df['price'].quantile([ 0.01, .015, .02, .025, .3, .4, .5, .6, .7, .8, .85, .9, .93, .95, .98, 1])"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Procedemos a hacer una mascara para filtrar los valores extremos"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 24,
   "metadata": {},
   "outputs": [],
   "source": [
    "df3 = df.where((df['surface_total'] > df['surface_covered']))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 25,
   "metadata": {},
   "outputs": [],
   "source": [
    "df4 = df3.where((df3['price'] < 600000) & (df3['rooms'] < 10) & (df3['surface_covered'] < 500) & (df3['bathrooms'] < 10))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 92,
   "metadata": {
    "scrolled": true
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<seaborn.axisgrid.PairGrid at 0x7f90408b00d0>"
      ]
     },
     "execution_count": 92,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 1191.62x1080 with 42 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "sns.pairplot(df4,vars=['rooms', 'bedrooms', 'bathrooms', 'surface_total', 'surface_covered', 'price'], hue=\"l2\" ) "
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Analizamos las superficies cubiertas"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 93,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<seaborn.axisgrid.PairGrid at 0x7f9047026f50>"
      ]
     },
     "execution_count": 93,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 1188.38x1080 with 42 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "sns.pairplot(df4,vars=['rooms', 'bedrooms', 'bathrooms', 'surface_total', 'surface_covered', 'price'], hue=\"property_type\" ) "
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Analizamos los cuartos y su precio"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 94,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<matplotlib.axes._subplots.AxesSubplot at 0x7f9049609c10>"
      ]
     },
     "execution_count": 94,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 1080x360 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "plt.figure(figsize=(15, 5))\n",
    "sns.barplot(data = df4, x = \"rooms\", y = \"price\")"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Analizamos las habitaciones y su precio"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 152,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<matplotlib.axes._subplots.AxesSubplot at 0x7f9027242950>"
      ]
     },
     "execution_count": 152,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 1080x360 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "plt.figure(figsize=(15, 5))\n",
    "sns.barplot(data = df4, x = \"bedrooms\", y = \"price\" )"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Analizamos los baños y su precio"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 30,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<matplotlib.axes._subplots.AxesSubplot at 0x7f9066c777d0>"
      ]
     },
     "execution_count": 30,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 1080x360 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "plt.figure(figsize=(15, 5))\n",
    "sns.barplot(data = df4, x = \"bathrooms\", y = \"price\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 95,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>start_date</th>\n",
       "      <th>end_date</th>\n",
       "      <th>created_on</th>\n",
       "      <th>l1</th>\n",
       "      <th>l2</th>\n",
       "      <th>l3</th>\n",
       "      <th>rooms</th>\n",
       "      <th>bedrooms</th>\n",
       "      <th>bathrooms</th>\n",
       "      <th>surface_total</th>\n",
       "      <th>surface_covered</th>\n",
       "      <th>price</th>\n",
       "      <th>currency</th>\n",
       "      <th>title</th>\n",
       "      <th>description</th>\n",
       "      <th>property_type</th>\n",
       "      <th>operation_type</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>2019-10-17</td>\n",
       "      <td>2019-12-23</td>\n",
       "      <td>2019-10-17</td>\n",
       "      <td>Argentina</td>\n",
       "      <td>Capital Federal</td>\n",
       "      <td>San Cristobal</td>\n",
       "      <td>7.0</td>\n",
       "      <td>7.0</td>\n",
       "      <td>2.0</td>\n",
       "      <td>140.0</td>\n",
       "      <td>140.0</td>\n",
       "      <td>153000.0</td>\n",
       "      <td>USD</td>\n",
       "      <td>***Venta semipiso centro, ideal hostel*****</td>\n",
       "      <td>DESCRIPCION DE LA PROPIEDAD: Departamento de 1...</td>\n",
       "      <td>Departamento</td>\n",
       "      <td>Venta</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>2019-10-17</td>\n",
       "      <td>2019-11-21</td>\n",
       "      <td>2019-10-17</td>\n",
       "      <td>Argentina</td>\n",
       "      <td>Capital Federal</td>\n",
       "      <td>Boedo</td>\n",
       "      <td>2.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>2.0</td>\n",
       "      <td>70.0</td>\n",
       "      <td>58.0</td>\n",
       "      <td>159000.0</td>\n",
       "      <td>USD</td>\n",
       "      <td>Espectacular PH reciclado en Boedo sin expensas.</td>\n",
       "      <td>PH reciclado en Boedo a una cuadra de la plaz...</td>\n",
       "      <td>PH</td>\n",
       "      <td>Venta</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>2019-10-17</td>\n",
       "      <td>2019-11-01</td>\n",
       "      <td>2019-10-17</td>\n",
       "      <td>Argentina</td>\n",
       "      <td>Capital Federal</td>\n",
       "      <td>Palermo</td>\n",
       "      <td>2.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>45.0</td>\n",
       "      <td>45.0</td>\n",
       "      <td>125000.0</td>\n",
       "      <td>USD</td>\n",
       "      <td>Depto.tipo casa de 2 ambientes en Venta en Pal...</td>\n",
       "      <td>2 ambienets amplio , excelente estado , patio ...</td>\n",
       "      <td>PH</td>\n",
       "      <td>Venta</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>2019-10-17</td>\n",
       "      <td>2019-12-23</td>\n",
       "      <td>2019-10-17</td>\n",
       "      <td>Argentina</td>\n",
       "      <td>Capital Federal</td>\n",
       "      <td>Palermo</td>\n",
       "      <td>2.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>85.0</td>\n",
       "      <td>50.0</td>\n",
       "      <td>295000.0</td>\n",
       "      <td>USD</td>\n",
       "      <td>COSTA RICA 5800 / PALERMO HOLLYWOOD / VENTA PH...</td>\n",
       "      <td>HERMOSO PH EN PALERMO!!!2 AMBIENTES TOTALMENTE...</td>\n",
       "      <td>PH</td>\n",
       "      <td>Venta</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>5</th>\n",
       "      <td>2019-10-17</td>\n",
       "      <td>2019-11-01</td>\n",
       "      <td>2019-10-17</td>\n",
       "      <td>Argentina</td>\n",
       "      <td>Capital Federal</td>\n",
       "      <td>Villa Crespo</td>\n",
       "      <td>2.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>56.0</td>\n",
       "      <td>56.0</td>\n",
       "      <td>150000.0</td>\n",
       "      <td>USD</td>\n",
       "      <td>Depto.tipo casa de 2 ambientes en Venta en Vil...</td>\n",
       "      <td>Excelente ph solo 2 unidades, no paga expensas...</td>\n",
       "      <td>PH</td>\n",
       "      <td>Venta</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>...</th>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>146552</th>\n",
       "      <td>2019-07-31</td>\n",
       "      <td>2019-09-04</td>\n",
       "      <td>2019-07-31</td>\n",
       "      <td>Argentina</td>\n",
       "      <td>Capital Federal</td>\n",
       "      <td>Palermo</td>\n",
       "      <td>4.0</td>\n",
       "      <td>2.0</td>\n",
       "      <td>3.0</td>\n",
       "      <td>159.0</td>\n",
       "      <td>98.0</td>\n",
       "      <td>539000.0</td>\n",
       "      <td>USD</td>\n",
       "      <td>Cabrera 5800 esq. Carranza - Divino Departamen...</td>\n",
       "      <td>Espectacular departamento en el corazón de Pal...</td>\n",
       "      <td>Departamento</td>\n",
       "      <td>Venta</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>146554</th>\n",
       "      <td>2019-07-31</td>\n",
       "      <td>2019-08-14</td>\n",
       "      <td>2019-07-31</td>\n",
       "      <td>Argentina</td>\n",
       "      <td>Capital Federal</td>\n",
       "      <td>Palermo</td>\n",
       "      <td>4.0</td>\n",
       "      <td>3.0</td>\n",
       "      <td>3.0</td>\n",
       "      <td>175.0</td>\n",
       "      <td>111.0</td>\n",
       "      <td>570000.0</td>\n",
       "      <td>USD</td>\n",
       "      <td>Soler 4900 - PH 4 Ambientes 100% Reciclado- Pa...</td>\n",
       "      <td>Espectacular Ph 4 Ambientes de excelente calid...</td>\n",
       "      <td>PH</td>\n",
       "      <td>Venta</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>146555</th>\n",
       "      <td>2019-07-31</td>\n",
       "      <td>2019-08-14</td>\n",
       "      <td>2019-07-31</td>\n",
       "      <td>Argentina</td>\n",
       "      <td>Capital Federal</td>\n",
       "      <td>Palermo</td>\n",
       "      <td>3.0</td>\n",
       "      <td>2.0</td>\n",
       "      <td>2.0</td>\n",
       "      <td>144.0</td>\n",
       "      <td>134.0</td>\n",
       "      <td>480000.0</td>\n",
       "      <td>USD</td>\n",
       "      <td>PH Reciclado a nuevo en pleno Palermo Hollywood!</td>\n",
       "      <td>Espectacular Ph 3 Ambientes de excelente calid...</td>\n",
       "      <td>PH</td>\n",
       "      <td>Venta</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>146556</th>\n",
       "      <td>2019-07-31</td>\n",
       "      <td>2020-01-17</td>\n",
       "      <td>2019-07-31</td>\n",
       "      <td>Argentina</td>\n",
       "      <td>Capital Federal</td>\n",
       "      <td>Palermo</td>\n",
       "      <td>4.0</td>\n",
       "      <td>2.0</td>\n",
       "      <td>2.0</td>\n",
       "      <td>317.0</td>\n",
       "      <td>143.0</td>\n",
       "      <td>530000.0</td>\n",
       "      <td>USD</td>\n",
       "      <td>Hermoso PH reciclado - 4 ambientes + Pileta + ...</td>\n",
       "      <td>Hermoso PH reciclado en Palermo, 143 m2 cubier...</td>\n",
       "      <td>PH</td>\n",
       "      <td>Venta</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>146557</th>\n",
       "      <td>2019-07-31</td>\n",
       "      <td>2019-08-23</td>\n",
       "      <td>2019-07-31</td>\n",
       "      <td>Argentina</td>\n",
       "      <td>Capital Federal</td>\n",
       "      <td>Palermo</td>\n",
       "      <td>3.0</td>\n",
       "      <td>2.0</td>\n",
       "      <td>2.0</td>\n",
       "      <td>145.0</td>\n",
       "      <td>145.0</td>\n",
       "      <td>420000.0</td>\n",
       "      <td>USD</td>\n",
       "      <td>Venta. Departamento. 3 Ambientes. 145m². Ampli...</td>\n",
       "      <td>CARACTERÍSTICAS- Ambientes: 3.- Superficie tot...</td>\n",
       "      <td>Departamento</td>\n",
       "      <td>Venta</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>85587 rows × 17 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "        start_date    end_date  created_on         l1               l2  \\\n",
       "0       2019-10-17  2019-12-23  2019-10-17  Argentina  Capital Federal   \n",
       "1       2019-10-17  2019-11-21  2019-10-17  Argentina  Capital Federal   \n",
       "2       2019-10-17  2019-11-01  2019-10-17  Argentina  Capital Federal   \n",
       "3       2019-10-17  2019-12-23  2019-10-17  Argentina  Capital Federal   \n",
       "5       2019-10-17  2019-11-01  2019-10-17  Argentina  Capital Federal   \n",
       "...            ...         ...         ...        ...              ...   \n",
       "146552  2019-07-31  2019-09-04  2019-07-31  Argentina  Capital Federal   \n",
       "146554  2019-07-31  2019-08-14  2019-07-31  Argentina  Capital Federal   \n",
       "146555  2019-07-31  2019-08-14  2019-07-31  Argentina  Capital Federal   \n",
       "146556  2019-07-31  2020-01-17  2019-07-31  Argentina  Capital Federal   \n",
       "146557  2019-07-31  2019-08-23  2019-07-31  Argentina  Capital Federal   \n",
       "\n",
       "                   l3  rooms  bedrooms  bathrooms  surface_total  \\\n",
       "0       San Cristobal    7.0       7.0        2.0          140.0   \n",
       "1               Boedo    2.0       1.0        2.0           70.0   \n",
       "2             Palermo    2.0       1.0        1.0           45.0   \n",
       "3             Palermo    2.0       1.0        1.0           85.0   \n",
       "5        Villa Crespo    2.0       1.0        1.0           56.0   \n",
       "...               ...    ...       ...        ...            ...   \n",
       "146552        Palermo    4.0       2.0        3.0          159.0   \n",
       "146554        Palermo    4.0       3.0        3.0          175.0   \n",
       "146555        Palermo    3.0       2.0        2.0          144.0   \n",
       "146556        Palermo    4.0       2.0        2.0          317.0   \n",
       "146557        Palermo    3.0       2.0        2.0          145.0   \n",
       "\n",
       "        surface_covered     price currency  \\\n",
       "0                 140.0  153000.0      USD   \n",
       "1                  58.0  159000.0      USD   \n",
       "2                  45.0  125000.0      USD   \n",
       "3                  50.0  295000.0      USD   \n",
       "5                  56.0  150000.0      USD   \n",
       "...                 ...       ...      ...   \n",
       "146552             98.0  539000.0      USD   \n",
       "146554            111.0  570000.0      USD   \n",
       "146555            134.0  480000.0      USD   \n",
       "146556            143.0  530000.0      USD   \n",
       "146557            145.0  420000.0      USD   \n",
       "\n",
       "                                                    title  \\\n",
       "0             ***Venta semipiso centro, ideal hostel*****   \n",
       "1        Espectacular PH reciclado en Boedo sin expensas.   \n",
       "2       Depto.tipo casa de 2 ambientes en Venta en Pal...   \n",
       "3       COSTA RICA 5800 / PALERMO HOLLYWOOD / VENTA PH...   \n",
       "5       Depto.tipo casa de 2 ambientes en Venta en Vil...   \n",
       "...                                                   ...   \n",
       "146552  Cabrera 5800 esq. Carranza - Divino Departamen...   \n",
       "146554  Soler 4900 - PH 4 Ambientes 100% Reciclado- Pa...   \n",
       "146555  PH Reciclado a nuevo en pleno Palermo Hollywood!    \n",
       "146556  Hermoso PH reciclado - 4 ambientes + Pileta + ...   \n",
       "146557  Venta. Departamento. 3 Ambientes. 145m². Ampli...   \n",
       "\n",
       "                                              description property_type  \\\n",
       "0       DESCRIPCION DE LA PROPIEDAD: Departamento de 1...  Departamento   \n",
       "1        PH reciclado en Boedo a una cuadra de la plaz...            PH   \n",
       "2       2 ambienets amplio , excelente estado , patio ...            PH   \n",
       "3       HERMOSO PH EN PALERMO!!!2 AMBIENTES TOTALMENTE...            PH   \n",
       "5       Excelente ph solo 2 unidades, no paga expensas...            PH   \n",
       "...                                                   ...           ...   \n",
       "146552  Espectacular departamento en el corazón de Pal...  Departamento   \n",
       "146554  Espectacular Ph 4 Ambientes de excelente calid...            PH   \n",
       "146555  Espectacular Ph 3 Ambientes de excelente calid...            PH   \n",
       "146556  Hermoso PH reciclado en Palermo, 143 m2 cubier...            PH   \n",
       "146557  CARACTERÍSTICAS- Ambientes: 3.- Superficie tot...  Departamento   \n",
       "\n",
       "       operation_type  \n",
       "0               Venta  \n",
       "1               Venta  \n",
       "2               Venta  \n",
       "3               Venta  \n",
       "5               Venta  \n",
       "...               ...  \n",
       "146552          Venta  \n",
       "146554          Venta  \n",
       "146555          Venta  \n",
       "146556          Venta  \n",
       "146557          Venta  \n",
       "\n",
       "[85587 rows x 17 columns]"
      ]
     },
     "execution_count": 95,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "mascara = np.logical_and(df4.bedrooms <= 7, df4.price < 600000)\n",
    "df4[mascara]"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Analizamos el precio y las habitaciones de descanso para encontrar la media"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 96,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "[Text(0, 0.5, 'Precio'), Text(0.5, 0, 'Habitación de descanso')]"
      ]
     },
     "execution_count": 96,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 864x360 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "plt.figure(figsize=(12, 5))\n",
    "ax = sns.boxplot(data = df4[mascara], x = \"bedrooms\", y = \"price\")\n",
    "ax.set(xlabel=\"Habitación de descanso\", ylabel = \"Precio\")"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "#### La conclusión del grafico es que mas de 4 habitaciones no conviene consutrir ya que es el valor medio mas alto"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Analizamos el precio en relación con los baños"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 97,
   "metadata": {
    "scrolled": true
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "[Text(0, 0.5, 'Precio'), Text(0.5, 0, 'Cantidad de baños')]"
      ]
     },
     "execution_count": 97,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 864x360 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "plt.figure(figsize=(12, 5))\n",
    "ax =chart = sns.boxplot(data = df4[mascara], x = \"bathrooms\", y = \"price\")\n",
    "ax.set(xlabel=\"Cantidad de baños\", ylabel = \"Precio\")\n"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "#### La conclución del gráfico es que mas de 5 baños no conviene contruir ya que alcanza el valor y media mas alta"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 34,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>start_date</th>\n",
       "      <th>end_date</th>\n",
       "      <th>created_on</th>\n",
       "      <th>lat</th>\n",
       "      <th>lon</th>\n",
       "      <th>l1</th>\n",
       "      <th>l2</th>\n",
       "      <th>l3</th>\n",
       "      <th>rooms</th>\n",
       "      <th>bedrooms</th>\n",
       "      <th>bathrooms</th>\n",
       "      <th>surface_total</th>\n",
       "      <th>surface_covered</th>\n",
       "      <th>price</th>\n",
       "      <th>currency</th>\n",
       "      <th>title</th>\n",
       "      <th>description</th>\n",
       "      <th>property_type</th>\n",
       "      <th>operation_type</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>2019-10-17</td>\n",
       "      <td>2019-11-21</td>\n",
       "      <td>2019-10-17</td>\n",
       "      <td>-34.624056</td>\n",
       "      <td>-58.412110</td>\n",
       "      <td>Argentina</td>\n",
       "      <td>Capital Federal</td>\n",
       "      <td>Boedo</td>\n",
       "      <td>2.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>2.0</td>\n",
       "      <td>70.0</td>\n",
       "      <td>58.0</td>\n",
       "      <td>159000.0</td>\n",
       "      <td>USD</td>\n",
       "      <td>Espectacular PH reciclado en Boedo sin expensas.</td>\n",
       "      <td>PH reciclado en Boedo a una cuadra de la plaz...</td>\n",
       "      <td>PH</td>\n",
       "      <td>Venta</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>2019-10-17</td>\n",
       "      <td>2019-12-23</td>\n",
       "      <td>2019-10-17</td>\n",
       "      <td>-34.581294</td>\n",
       "      <td>-58.436754</td>\n",
       "      <td>Argentina</td>\n",
       "      <td>Capital Federal</td>\n",
       "      <td>Palermo</td>\n",
       "      <td>2.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>85.0</td>\n",
       "      <td>50.0</td>\n",
       "      <td>295000.0</td>\n",
       "      <td>USD</td>\n",
       "      <td>COSTA RICA 5800 / PALERMO HOLLYWOOD / VENTA PH...</td>\n",
       "      <td>HERMOSO PH EN PALERMO!!!2 AMBIENTES TOTALMENTE...</td>\n",
       "      <td>PH</td>\n",
       "      <td>Venta</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>2019-10-17</td>\n",
       "      <td>2020-03-11</td>\n",
       "      <td>2019-10-17</td>\n",
       "      <td>-34.914194</td>\n",
       "      <td>-57.938219</td>\n",
       "      <td>Argentina</td>\n",
       "      <td>Bs.As. G.B.A. Zona Sur</td>\n",
       "      <td>La Plata</td>\n",
       "      <td>2.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>50.0</td>\n",
       "      <td>35.0</td>\n",
       "      <td>40000.0</td>\n",
       "      <td>USD</td>\n",
       "      <td>58 entre 1 y 2  Venta de departamento en ph.1 ...</td>\n",
       "      <td>58 entre 1 y 2  Venta de departamento en PH. P...</td>\n",
       "      <td>PH</td>\n",
       "      <td>Venta</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>8</th>\n",
       "      <td>2019-10-17</td>\n",
       "      <td>2019-12-23</td>\n",
       "      <td>2019-10-17</td>\n",
       "      <td>-34.639598</td>\n",
       "      <td>-58.419612</td>\n",
       "      <td>Argentina</td>\n",
       "      <td>Capital Federal</td>\n",
       "      <td>Parque Patricios</td>\n",
       "      <td>1.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>45.0</td>\n",
       "      <td>37.0</td>\n",
       "      <td>89000.0</td>\n",
       "      <td>USD</td>\n",
       "      <td>PH SIN EXPENSAS, AMPLIO MONOAMBIENTE DIVISIBLE...</td>\n",
       "      <td>VENTA DE PH, EN EXCELENTE ESTADO, EN PARQUE PA...</td>\n",
       "      <td>PH</td>\n",
       "      <td>Venta</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>9</th>\n",
       "      <td>2019-10-17</td>\n",
       "      <td>2019-12-23</td>\n",
       "      <td>2019-10-17</td>\n",
       "      <td>-34.639598</td>\n",
       "      <td>-58.419612</td>\n",
       "      <td>Argentina</td>\n",
       "      <td>Capital Federal</td>\n",
       "      <td>Parque Patricios</td>\n",
       "      <td>1.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>45.0</td>\n",
       "      <td>37.0</td>\n",
       "      <td>89000.0</td>\n",
       "      <td>USD</td>\n",
       "      <td>PH SIN EXPENSAS, AMPLIO MONOAMBIENTE DIVISIBLE...</td>\n",
       "      <td>VENTA DE PH, EN EXCELENTE ESTADO, EN PARQUE PA...</td>\n",
       "      <td>PH</td>\n",
       "      <td>Venta</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>...</th>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>146646</th>\n",
       "      <td>2019-07-31</td>\n",
       "      <td>2019-09-04</td>\n",
       "      <td>2019-07-31</td>\n",
       "      <td>-34.444630</td>\n",
       "      <td>-58.620901</td>\n",
       "      <td>Argentina</td>\n",
       "      <td>Bs.As. G.B.A. Zona Norte</td>\n",
       "      <td>Tigre</td>\n",
       "      <td>3.0</td>\n",
       "      <td>2.0</td>\n",
       "      <td>2.0</td>\n",
       "      <td>96.0</td>\n",
       "      <td>83.0</td>\n",
       "      <td>280000.0</td>\n",
       "      <td>USD</td>\n",
       "      <td>VENTA departamento en Terrazas de Santa Bárbara.</td>\n",
       "      <td>Venta de departamento de 2 dormitorios en el c...</td>\n",
       "      <td>Departamento</td>\n",
       "      <td>Venta</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>146654</th>\n",
       "      <td>2019-07-31</td>\n",
       "      <td>2019-11-02</td>\n",
       "      <td>2019-07-31</td>\n",
       "      <td>-34.602389</td>\n",
       "      <td>-58.591058</td>\n",
       "      <td>Argentina</td>\n",
       "      <td>Bs.As. G.B.A. Zona Oeste</td>\n",
       "      <td>Tres de Febrero</td>\n",
       "      <td>3.0</td>\n",
       "      <td>2.0</td>\n",
       "      <td>2.0</td>\n",
       "      <td>161.0</td>\n",
       "      <td>80.0</td>\n",
       "      <td>200000.0</td>\n",
       "      <td>USD</td>\n",
       "      <td>Los Geranio al 6200 Venta Depto cochera terraz...</td>\n",
       "      <td>Único departamento Amplio balcón terraza 76 m2...</td>\n",
       "      <td>Departamento</td>\n",
       "      <td>Venta</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>146655</th>\n",
       "      <td>2019-07-31</td>\n",
       "      <td>2019-08-13</td>\n",
       "      <td>2019-07-31</td>\n",
       "      <td>-34.816348</td>\n",
       "      <td>-58.181963</td>\n",
       "      <td>Argentina</td>\n",
       "      <td>Bs.As. G.B.A. Zona Sur</td>\n",
       "      <td>Berazategui</td>\n",
       "      <td>2.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>54.0</td>\n",
       "      <td>48.0</td>\n",
       "      <td>165000.0</td>\n",
       "      <td>USD</td>\n",
       "      <td>Departamento en Venta en Barrio Privado Barran...</td>\n",
       "      <td>Departamento de 2 ambientesCocina con alacena ...</td>\n",
       "      <td>Departamento</td>\n",
       "      <td>Venta</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>146656</th>\n",
       "      <td>2019-07-31</td>\n",
       "      <td>2019-08-14</td>\n",
       "      <td>2019-07-31</td>\n",
       "      <td>-34.446459</td>\n",
       "      <td>-58.937810</td>\n",
       "      <td>Argentina</td>\n",
       "      <td>Bs.As. G.B.A. Zona Norte</td>\n",
       "      <td>Pilar</td>\n",
       "      <td>4.0</td>\n",
       "      <td>3.0</td>\n",
       "      <td>2.0</td>\n",
       "      <td>164.0</td>\n",
       "      <td>90.0</td>\n",
       "      <td>130000.0</td>\n",
       "      <td>USD</td>\n",
       "      <td>Venta departamentos tres dormitorios jardín co...</td>\n",
       "      <td>Muy buen duplex a estrenar en dos plantas más ...</td>\n",
       "      <td>Departamento</td>\n",
       "      <td>Venta</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>146657</th>\n",
       "      <td>2019-07-31</td>\n",
       "      <td>2019-08-14</td>\n",
       "      <td>2019-07-31</td>\n",
       "      <td>-34.444633</td>\n",
       "      <td>-58.981606</td>\n",
       "      <td>Argentina</td>\n",
       "      <td>Bs.As. G.B.A. Zona Norte</td>\n",
       "      <td>Pilar</td>\n",
       "      <td>1.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>50.0</td>\n",
       "      <td>35.0</td>\n",
       "      <td>73000.0</td>\n",
       "      <td>USD</td>\n",
       "      <td>Venta departamento de un ambiente Manzanares C...</td>\n",
       "      <td>En los Condominios de Campo Manzanares Chico, ...</td>\n",
       "      <td>Departamento</td>\n",
       "      <td>Venta</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>82700 rows × 19 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "        start_date    end_date  created_on        lat        lon         l1  \\\n",
       "1       2019-10-17  2019-11-21  2019-10-17 -34.624056 -58.412110  Argentina   \n",
       "3       2019-10-17  2019-12-23  2019-10-17 -34.581294 -58.436754  Argentina   \n",
       "4       2019-10-17  2020-03-11  2019-10-17 -34.914194 -57.938219  Argentina   \n",
       "8       2019-10-17  2019-12-23  2019-10-17 -34.639598 -58.419612  Argentina   \n",
       "9       2019-10-17  2019-12-23  2019-10-17 -34.639598 -58.419612  Argentina   \n",
       "...            ...         ...         ...        ...        ...        ...   \n",
       "146646  2019-07-31  2019-09-04  2019-07-31 -34.444630 -58.620901  Argentina   \n",
       "146654  2019-07-31  2019-11-02  2019-07-31 -34.602389 -58.591058  Argentina   \n",
       "146655  2019-07-31  2019-08-13  2019-07-31 -34.816348 -58.181963  Argentina   \n",
       "146656  2019-07-31  2019-08-14  2019-07-31 -34.446459 -58.937810  Argentina   \n",
       "146657  2019-07-31  2019-08-14  2019-07-31 -34.444633 -58.981606  Argentina   \n",
       "\n",
       "                              l2                l3  rooms  bedrooms  \\\n",
       "1                Capital Federal             Boedo    2.0       1.0   \n",
       "3                Capital Federal           Palermo    2.0       1.0   \n",
       "4         Bs.As. G.B.A. Zona Sur          La Plata    2.0       1.0   \n",
       "8                Capital Federal  Parque Patricios    1.0       1.0   \n",
       "9                Capital Federal  Parque Patricios    1.0       1.0   \n",
       "...                          ...               ...    ...       ...   \n",
       "146646  Bs.As. G.B.A. Zona Norte             Tigre    3.0       2.0   \n",
       "146654  Bs.As. G.B.A. Zona Oeste   Tres de Febrero    3.0       2.0   \n",
       "146655    Bs.As. G.B.A. Zona Sur       Berazategui    2.0       1.0   \n",
       "146656  Bs.As. G.B.A. Zona Norte             Pilar    4.0       3.0   \n",
       "146657  Bs.As. G.B.A. Zona Norte             Pilar    1.0       1.0   \n",
       "\n",
       "        bathrooms  surface_total  surface_covered     price currency  \\\n",
       "1             2.0           70.0             58.0  159000.0      USD   \n",
       "3             1.0           85.0             50.0  295000.0      USD   \n",
       "4             1.0           50.0             35.0   40000.0      USD   \n",
       "8             1.0           45.0             37.0   89000.0      USD   \n",
       "9             1.0           45.0             37.0   89000.0      USD   \n",
       "...           ...            ...              ...       ...      ...   \n",
       "146646        2.0           96.0             83.0  280000.0      USD   \n",
       "146654        2.0          161.0             80.0  200000.0      USD   \n",
       "146655        1.0           54.0             48.0  165000.0      USD   \n",
       "146656        2.0          164.0             90.0  130000.0      USD   \n",
       "146657        1.0           50.0             35.0   73000.0      USD   \n",
       "\n",
       "                                                    title  \\\n",
       "1        Espectacular PH reciclado en Boedo sin expensas.   \n",
       "3       COSTA RICA 5800 / PALERMO HOLLYWOOD / VENTA PH...   \n",
       "4       58 entre 1 y 2  Venta de departamento en ph.1 ...   \n",
       "8       PH SIN EXPENSAS, AMPLIO MONOAMBIENTE DIVISIBLE...   \n",
       "9       PH SIN EXPENSAS, AMPLIO MONOAMBIENTE DIVISIBLE...   \n",
       "...                                                   ...   \n",
       "146646   VENTA departamento en Terrazas de Santa Bárbara.   \n",
       "146654  Los Geranio al 6200 Venta Depto cochera terraz...   \n",
       "146655  Departamento en Venta en Barrio Privado Barran...   \n",
       "146656  Venta departamentos tres dormitorios jardín co...   \n",
       "146657  Venta departamento de un ambiente Manzanares C...   \n",
       "\n",
       "                                              description property_type  \\\n",
       "1        PH reciclado en Boedo a una cuadra de la plaz...            PH   \n",
       "3       HERMOSO PH EN PALERMO!!!2 AMBIENTES TOTALMENTE...            PH   \n",
       "4       58 entre 1 y 2  Venta de departamento en PH. P...            PH   \n",
       "8       VENTA DE PH, EN EXCELENTE ESTADO, EN PARQUE PA...            PH   \n",
       "9       VENTA DE PH, EN EXCELENTE ESTADO, EN PARQUE PA...            PH   \n",
       "...                                                   ...           ...   \n",
       "146646  Venta de departamento de 2 dormitorios en el c...  Departamento   \n",
       "146654  Único departamento Amplio balcón terraza 76 m2...  Departamento   \n",
       "146655  Departamento de 2 ambientesCocina con alacena ...  Departamento   \n",
       "146656  Muy buen duplex a estrenar en dos plantas más ...  Departamento   \n",
       "146657  En los Condominios de Campo Manzanares Chico, ...  Departamento   \n",
       "\n",
       "       operation_type  \n",
       "1               Venta  \n",
       "3               Venta  \n",
       "4               Venta  \n",
       "8               Venta  \n",
       "9               Venta  \n",
       "...               ...  \n",
       "146646          Venta  \n",
       "146654          Venta  \n",
       "146655          Venta  \n",
       "146656          Venta  \n",
       "146657          Venta  \n",
       "\n",
       "[82700 rows x 19 columns]"
      ]
     },
     "execution_count": 34,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "mascara2 = np.logical_and(df4.rooms <= 10, df4.price > (120000 < 600000))\n",
    "df4[mascara2]"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "colab_type": "text",
    "id": "B2EMvGFoC4PF"
   },
   "source": [
    "7. **Correlaciones:** Estudia la correlación entre las variables `rooms`, `bedrooms`, `bathrooms`, `surface_total`, `surface_covered`, `price`. ¿Cuáles son las mejores variables para predecir el precio?¿Qué diferencias encuentras según cada tipo de propiedad?"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 35,
   "metadata": {},
   "outputs": [],
   "source": [
    "df4= df2.drop(['lat', 'lon'], axis=1)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 36,
   "metadata": {
    "scrolled": true
   },
   "outputs": [
    {
     "data": {
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       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>rooms</th>\n",
       "      <th>bedrooms</th>\n",
       "      <th>bathrooms</th>\n",
       "      <th>surface_total</th>\n",
       "      <th>surface_covered</th>\n",
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       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>rooms</th>\n",
       "      <td>1.000000</td>\n",
       "      <td>0.927300</td>\n",
       "      <td>0.603174</td>\n",
       "      <td>0.064774</td>\n",
       "      <td>0.066757</td>\n",
       "      <td>0.448318</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>bedrooms</th>\n",
       "      <td>0.927300</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>0.603968</td>\n",
       "      <td>0.064468</td>\n",
       "      <td>0.066174</td>\n",
       "      <td>0.413555</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>bathrooms</th>\n",
       "      <td>0.603174</td>\n",
       "      <td>0.603968</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>0.056524</td>\n",
       "      <td>0.058192</td>\n",
       "      <td>0.587724</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>surface_total</th>\n",
       "      <td>0.064774</td>\n",
       "      <td>0.064468</td>\n",
       "      <td>0.056524</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>0.770742</td>\n",
       "      <td>0.049071</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>surface_covered</th>\n",
       "      <td>0.066757</td>\n",
       "      <td>0.066174</td>\n",
       "      <td>0.058192</td>\n",
       "      <td>0.770742</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>0.054534</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>price</th>\n",
       "      <td>0.448318</td>\n",
       "      <td>0.413555</td>\n",
       "      <td>0.587724</td>\n",
       "      <td>0.049071</td>\n",
       "      <td>0.054534</td>\n",
       "      <td>1.000000</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "                    rooms  bedrooms  bathrooms  surface_total  \\\n",
       "rooms            1.000000  0.927300   0.603174       0.064774   \n",
       "bedrooms         0.927300  1.000000   0.603968       0.064468   \n",
       "bathrooms        0.603174  0.603968   1.000000       0.056524   \n",
       "surface_total    0.064774  0.064468   0.056524       1.000000   \n",
       "surface_covered  0.066757  0.066174   0.058192       0.770742   \n",
       "price            0.448318  0.413555   0.587724       0.049071   \n",
       "\n",
       "                 surface_covered     price  \n",
       "rooms                   0.066757  0.448318  \n",
       "bedrooms                0.066174  0.413555  \n",
       "bathrooms               0.058192  0.587724  \n",
       "surface_total           0.770742  0.049071  \n",
       "surface_covered         1.000000  0.054534  \n",
       "price                   0.054534  1.000000  "
      ]
     },
     "execution_count": 36,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df4.corr()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Vemos que las correlaciones dan como resultado:\n",
    "El precio va de consiguiente con la cantidad de baños, ya que es el sector \n",
    "mas caro de construir luego de la cocina; entonces encarece la propiedad.\n",
    "\n",
    "La cantidad de baños no deben ser mas de 5 luego de este numero,\n",
    "no se capitabiliza de la misma forma.\n",
    "\n",
    "La otra variable logica es la superficie cubierta, es la segunda variable\n",
    "a encarecer el precio luego de los baños"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Filtramos las principales variables que consideramos importantes"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 37,
   "metadata": {
    "colab": {},
    "colab_type": "code",
    "id": "jDQy8tzfC4PA"
   },
   "outputs": [],
   "source": [
    "sup = ['l3','rooms','bedrooms', 'bathrooms', 'price']\n",
    "df5 = df4.groupby('l3')[sup].mean()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Las agrupamos por barrio y las ordenamos por precio"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 38,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>rooms</th>\n",
       "      <th>bedrooms</th>\n",
       "      <th>bathrooms</th>\n",
       "      <th>price</th>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>l3</th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>Puerto Madero</th>\n",
       "      <td>3.053265</td>\n",
       "      <td>2.054983</td>\n",
       "      <td>2.720783</td>\n",
       "      <td>985202.209622</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Las Cañitas</th>\n",
       "      <td>3.185279</td>\n",
       "      <td>2.184010</td>\n",
       "      <td>2.235294</td>\n",
       "      <td>469488.154822</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Recoleta</th>\n",
       "      <td>3.432782</td>\n",
       "      <td>2.236156</td>\n",
       "      <td>1.808724</td>\n",
       "      <td>410003.824502</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Belgrano</th>\n",
       "      <td>3.165067</td>\n",
       "      <td>2.138598</td>\n",
       "      <td>1.900441</td>\n",
       "      <td>377029.863438</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Palermo</th>\n",
       "      <td>2.951488</td>\n",
       "      <td>1.921504</td>\n",
       "      <td>1.619218</td>\n",
       "      <td>354744.484662</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "                  rooms  bedrooms  bathrooms          price\n",
       "l3                                                         \n",
       "Puerto Madero  3.053265  2.054983   2.720783  985202.209622\n",
       "Las Cañitas    3.185279  2.184010   2.235294  469488.154822\n",
       "Recoleta       3.432782  2.236156   1.808724  410003.824502\n",
       "Belgrano       3.165067  2.138598   1.900441  377029.863438\n",
       "Palermo        2.951488  1.921504   1.619218  354744.484662"
      ]
     },
     "execution_count": 38,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df5.sort_values(by=['price'], inplace=True, ascending=False)\n",
    "df5.head()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### De este dataset podemos observar cuales son los barrios mas caros.\n",
    "Los ordenamos de mayor a menor y nos da como resultado\n",
    "Puerto Madero / Las cañitas /  Recoleta "
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Si hacemos el el grupo sin filtro nos da el siguiente resultado"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 39,
   "metadata": {},
   "outputs": [],
   "source": [
    "sup = ['l3','rooms','bedrooms', 'bathrooms', 'price']\n",
    "df7 = df.groupby('l3')[sup].mean()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 40,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>rooms</th>\n",
       "      <th>bedrooms</th>\n",
       "      <th>bathrooms</th>\n",
       "      <th>price</th>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>l3</th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>Puerto Madero</th>\n",
       "      <td>3.051224</td>\n",
       "      <td>2.052362</td>\n",
       "      <td>2.714940</td>\n",
       "      <td>984679.031303</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Villa Riachuelo</th>\n",
       "      <td>3.547619</td>\n",
       "      <td>2.428571</td>\n",
       "      <td>1.550000</td>\n",
       "      <td>535988.071429</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Las Cañitas</th>\n",
       "      <td>3.182510</td>\n",
       "      <td>2.181242</td>\n",
       "      <td>2.235294</td>\n",
       "      <td>469045.204056</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Recoleta</th>\n",
       "      <td>3.440088</td>\n",
       "      <td>2.242860</td>\n",
       "      <td>1.811759</td>\n",
       "      <td>410252.230184</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Belgrano</th>\n",
       "      <td>3.157174</td>\n",
       "      <td>2.130353</td>\n",
       "      <td>1.901373</td>\n",
       "      <td>376293.661283</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>...</th>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Boca</th>\n",
       "      <td>3.079772</td>\n",
       "      <td>2.031339</td>\n",
       "      <td>1.273529</td>\n",
       "      <td>128428.273504</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Avellaneda</th>\n",
       "      <td>3.083942</td>\n",
       "      <td>2.032847</td>\n",
       "      <td>1.377513</td>\n",
       "      <td>127272.403650</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Villa Soldati</th>\n",
       "      <td>3.898551</td>\n",
       "      <td>2.695652</td>\n",
       "      <td>1.384615</td>\n",
       "      <td>122472.463768</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Constitución</th>\n",
       "      <td>2.525316</td>\n",
       "      <td>1.630802</td>\n",
       "      <td>1.184946</td>\n",
       "      <td>104534.073840</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>José C Paz</th>\n",
       "      <td>3.271777</td>\n",
       "      <td>2.195122</td>\n",
       "      <td>1.360424</td>\n",
       "      <td>91501.874564</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>89 rows × 4 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "                    rooms  bedrooms  bathrooms          price\n",
       "l3                                                           \n",
       "Puerto Madero    3.051224  2.052362   2.714940  984679.031303\n",
       "Villa Riachuelo  3.547619  2.428571   1.550000  535988.071429\n",
       "Las Cañitas      3.182510  2.181242   2.235294  469045.204056\n",
       "Recoleta         3.440088  2.242860   1.811759  410252.230184\n",
       "Belgrano         3.157174  2.130353   1.901373  376293.661283\n",
       "...                   ...       ...        ...            ...\n",
       "Boca             3.079772  2.031339   1.273529  128428.273504\n",
       "Avellaneda       3.083942  2.032847   1.377513  127272.403650\n",
       "Villa Soldati    3.898551  2.695652   1.384615  122472.463768\n",
       "Constitución     2.525316  1.630802   1.184946  104534.073840\n",
       "José C Paz       3.271777  2.195122   1.360424   91501.874564\n",
       "\n",
       "[89 rows x 4 columns]"
      ]
     },
     "execution_count": 40,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df7.sort_values(by=['price'], inplace=True, ascending=False)\n",
    "df7"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Esto significa que villa riachuelo figura en el segundo lugar, pero es un dato erroneo.\n",
    "\n",
    "La diferencia es que no tiene superficies construidas grandes.\n",
    "Figura en dicho puesto por grandes parcelas."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 100,
   "metadata": {},
   "outputs": [],
   "source": [
    "sup = ['l3','surface_covered','rooms','bedrooms', 'bathrooms', 'price']\n",
    "df8 = df.groupby('bedrooms')[sup].mean()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 101,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
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       "\n",
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       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>surface_covered</th>\n",
       "      <th>rooms</th>\n",
       "      <th>bedrooms</th>\n",
       "      <th>bathrooms</th>\n",
       "      <th>price</th>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>bedrooms</th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>8.0</th>\n",
       "      <td>375.000000</td>\n",
       "      <td>10.323077</td>\n",
       "      <td>8.0</td>\n",
       "      <td>3.885246</td>\n",
       "      <td>637107.692308</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>10.0</th>\n",
       "      <td>319.000000</td>\n",
       "      <td>11.304348</td>\n",
       "      <td>10.0</td>\n",
       "      <td>4.521739</td>\n",
       "      <td>616869.565217</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>5.0</th>\n",
       "      <td>404.874855</td>\n",
       "      <td>6.540984</td>\n",
       "      <td>5.0</td>\n",
       "      <td>3.239186</td>\n",
       "      <td>574828.207811</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>15.0</th>\n",
       "      <td>434.166667</td>\n",
       "      <td>17.000000</td>\n",
       "      <td>15.0</td>\n",
       "      <td>4.500000</td>\n",
       "      <td>516666.666667</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>6.0</th>\n",
       "      <td>302.371575</td>\n",
       "      <td>7.464844</td>\n",
       "      <td>6.0</td>\n",
       "      <td>3.534226</td>\n",
       "      <td>511624.088542</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>14.0</th>\n",
       "      <td>397.625000</td>\n",
       "      <td>17.750000</td>\n",
       "      <td>14.0</td>\n",
       "      <td>5.500000</td>\n",
       "      <td>499250.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4.0</th>\n",
       "      <td>283.787830</td>\n",
       "      <td>5.402952</td>\n",
       "      <td>4.0</td>\n",
       "      <td>2.724224</td>\n",
       "      <td>485669.642873</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>9.0</th>\n",
       "      <td>457.800000</td>\n",
       "      <td>10.718750</td>\n",
       "      <td>9.0</td>\n",
       "      <td>5.066667</td>\n",
       "      <td>481431.250000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>7.0</th>\n",
       "      <td>293.538462</td>\n",
       "      <td>8.290698</td>\n",
       "      <td>7.0</td>\n",
       "      <td>3.450593</td>\n",
       "      <td>459077.519380</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>13.0</th>\n",
       "      <td>467.500000</td>\n",
       "      <td>14.166667</td>\n",
       "      <td>13.0</td>\n",
       "      <td>8.166667</td>\n",
       "      <td>444500.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>12.0</th>\n",
       "      <td>406.812500</td>\n",
       "      <td>14.187500</td>\n",
       "      <td>12.0</td>\n",
       "      <td>6.375000</td>\n",
       "      <td>440250.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3.0</th>\n",
       "      <td>155.777652</td>\n",
       "      <td>4.198544</td>\n",
       "      <td>3.0</td>\n",
       "      <td>2.122528</td>\n",
       "      <td>357692.486792</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>0.0</th>\n",
       "      <td>36.723664</td>\n",
       "      <td>1.960633</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1.417538</td>\n",
       "      <td>247153.090642</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>11.0</th>\n",
       "      <td>166.923077</td>\n",
       "      <td>9.142857</td>\n",
       "      <td>11.0</td>\n",
       "      <td>3.857143</td>\n",
       "      <td>225928.571429</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2.0</th>\n",
       "      <td>95.382145</td>\n",
       "      <td>3.068746</td>\n",
       "      <td>2.0</td>\n",
       "      <td>1.461805</td>\n",
       "      <td>208667.078353</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1.0</th>\n",
       "      <td>56.095790</td>\n",
       "      <td>1.850357</td>\n",
       "      <td>1.0</td>\n",
       "      <td>1.096098</td>\n",
       "      <td>131907.027925</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "          surface_covered      rooms  bedrooms  bathrooms          price\n",
       "bedrooms                                                                \n",
       "8.0            375.000000  10.323077       8.0   3.885246  637107.692308\n",
       "10.0           319.000000  11.304348      10.0   4.521739  616869.565217\n",
       "5.0            404.874855   6.540984       5.0   3.239186  574828.207811\n",
       "15.0           434.166667  17.000000      15.0   4.500000  516666.666667\n",
       "6.0            302.371575   7.464844       6.0   3.534226  511624.088542\n",
       "14.0           397.625000  17.750000      14.0   5.500000  499250.000000\n",
       "4.0            283.787830   5.402952       4.0   2.724224  485669.642873\n",
       "9.0            457.800000  10.718750       9.0   5.066667  481431.250000\n",
       "7.0            293.538462   8.290698       7.0   3.450593  459077.519380\n",
       "13.0           467.500000  14.166667      13.0   8.166667  444500.000000\n",
       "12.0           406.812500  14.187500      12.0   6.375000  440250.000000\n",
       "3.0            155.777652   4.198544       3.0   2.122528  357692.486792\n",
       "0.0             36.723664   1.960633       0.0   1.417538  247153.090642\n",
       "11.0           166.923077   9.142857      11.0   3.857143  225928.571429\n",
       "2.0             95.382145   3.068746       2.0   1.461805  208667.078353\n",
       "1.0             56.095790   1.850357       1.0   1.096098  131907.027925"
      ]
     },
     "execution_count": 101,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df8.sort_values(by=['price'], inplace=True, ascending=False)\n",
    "df8"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 104,
   "metadata": {
    "scrolled": true
   },
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 864x864 with 2 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "corr = df4.drop(columns = 'l2').corr()\n",
    "plt.figure(figsize=(12,12))\n",
    "sns.heatmap(corr, cbar = True,  square = True, annot=True, fmt= '.1f',annot_kws={'size': 10},\n",
    "           xticklabels=df4.drop(columns = ['start_date','created_on','end_date','l1','l2','l3','surface_total','currency','description','property_type','operation_type']).columns, \n",
    "           yticklabels=df4.drop(columns = ['start_date','created_on','end_date','l1','l2','l3','surface_total','currency','description','property_type','operation_type']).columns,\n",
    "           cmap= 'coolwarm')\n",
    "plt.xticks(rotation = 90)\n",
    "plt.yticks(rotation = 0)\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Aca el grafico nos muestra que el precio de las propiedades siempre esta dado primero por el siguiente orden:\n",
    "    1.ambientes \n",
    "    2.habitaciones\n",
    "    3.Superficie Cubierta\n",
    "    4.Baños\n",
    "    "
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Filtramos el dataset"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 44,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "(81019, 6)"
      ]
     },
     "execution_count": 44,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df_mach_learn =df[(df[\"property_type\"] == \"PH\") | (df[\"property_type\"] == \"Casa\") | (df[\"property_type\"] == \"Departamento\") ]\n",
    "df_mach_learn = df_mach_learn[(df_mach_learn.l2 == \"Capital Federal\")]\n",
    "df_mach_learn = df_mach_learn[(df_mach_learn.surface_total >= 15)]\n",
    "df_mach_learn = df_mach_learn[(df_mach_learn.surface_total <= 1000)]\n",
    "df_mach_learn = df_mach_learn[(df_mach_learn.price <= 4000000)]\n",
    "df_mach_learn = df_mach_learn[[\"rooms\",\"bedrooms\",\"bathrooms\",\"surface_total\",\"surface_covered\",\"price\"]]\n",
    "df_mach_learn.isna().sum()\n",
    "df_mach_learn = df_mach_learn.dropna()\n",
    "df_mach_learn.shape"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 45,
   "metadata": {},
   "outputs": [],
   "source": [
    "from sklearn.tree import DecisionTreeRegressor"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 46,
   "metadata": {},
   "outputs": [],
   "source": [
    "from sklearn.model_selection import train_test_split"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 105,
   "metadata": {},
   "outputs": [],
   "source": [
    "from sklearn.metrics import mean_squared_error"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Definimos las variables"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 125,
   "metadata": {},
   "outputs": [],
   "source": [
    "X=df_mach_learn[['surface_total']]\n",
    "y=df_mach_learn['price']"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 144,
   "metadata": {},
   "outputs": [],
   "source": [
    "X_train, X_test, y_train, y_test = train_test_split(X,y,test_size=0.3 , random_state=42)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Entrenamos el árbol"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 127,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "DecisionTreeRegressor(ccp_alpha=0.0, criterion='mse', max_depth=3,\n",
       "                      max_features=None, max_leaf_nodes=None,\n",
       "                      min_impurity_decrease=0.0, min_impurity_split=None,\n",
       "                      min_samples_leaf=1, min_samples_split=2,\n",
       "                      min_weight_fraction_leaf=0.0, presort='deprecated',\n",
       "                      random_state=1, splitter='best')"
      ]
     },
     "execution_count": 127,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "tree=DecisionTreeRegressor(max_depth=3,random_state=1)\n",
    "tree.fit(X_train,y_train)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 128,
   "metadata": {},
   "outputs": [],
   "source": [
    "y_train_pred=tree.predict(X_train)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 129,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "array([198256.86582781, 122513.09719827, 198256.86582781, ...,\n",
       "       198256.86582781, 198256.86582781, 122513.09719827])"
      ]
     },
     "execution_count": 129,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "y_train_pred"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 130,
   "metadata": {},
   "outputs": [],
   "source": [
    "y_test_pred=tree.predict(X_test)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 131,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "array([198256.86582781, 122513.09719827, 398436.14240915, ...,\n",
       "       398436.14240915, 834216.30033711, 198256.86582781])"
      ]
     },
     "execution_count": 131,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "y_test_pred"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 132,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "213213.8027447749\n",
      "216939.535641816\n"
     ]
    }
   ],
   "source": [
    "rmse_train = np.sqrt(mean_squared_error(y_train, y_train_pred))\n",
    "rmse_test = np.sqrt(mean_squared_error(y_test, y_test_pred))\n",
    "print(rmse_train) \n",
    "print(rmse_test)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 145,
   "metadata": {},
   "outputs": [],
   "source": [
    "from sklearn.neighbors import KNeighborsRegressor"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Entrenamos vecinos cercanos"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 134,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "KNeighborsRegressor(algorithm='auto', leaf_size=30, metric='minkowski',\n",
       "                    metric_params=None, n_jobs=None, n_neighbors=5, p=2,\n",
       "                    weights='uniform')"
      ]
     },
     "execution_count": 134,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "knn = KNeighborsRegressor(n_neighbors=5)\n",
    "knn.fit(X_train, y_train)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 135,
   "metadata": {},
   "outputs": [],
   "source": [
    "y_pred = knn.predict(X_train)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 136,
   "metadata": {},
   "outputs": [],
   "source": [
    "from sklearn.linear_model import LinearRegression\n",
    "from sklearn.tree import DecisionTreeRegressor\n",
    "from sklearn.neighbors import KNeighborsRegressor\n",
    "\n",
    "linear_model = LinearRegression()\n",
    "tree_regressor = DecisionTreeRegressor(max_depth=3, random_state=42)\n",
    "knn_regressor = KNeighborsRegressor(n_neighbors=5)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 137,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "KNeighborsRegressor(algorithm='auto', leaf_size=30, metric='minkowski',\n",
       "                    metric_params=None, n_jobs=None, n_neighbors=5, p=2,\n",
       "                    weights='uniform')"
      ]
     },
     "execution_count": 137,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "linear_model.fit(X_train, y_train)\n",
    "tree_regressor.fit(X_train, y_train)\n",
    "knn_regressor.fit(X_train, y_train)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 146,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "[2630.4146957] 13037.407671383029\n"
     ]
    }
   ],
   "source": [
    "k_vecinos = print(linear_model.coef_, linear_model.intercept_)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Gráficamos los tres modelos"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 147,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 864x288 with 3 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "plt.figure(figsize = (12,4))\n",
    "\n",
    "plt.subplot(1,3,1)\n",
    "plt.scatter(X,y, s = 2)\n",
    "#plt.plot(X, y_pred, '--',label ='Curva Teórica', c = 'r')\n",
    "plt.plot(X,linear_model.predict(X),label ='Regresion Lineal', c = 'g')\n",
    "plt.xlabel('Metro Cuadrados')\n",
    "plt.ylabel('Precio')\n",
    "plt.legend()\n",
    "\n",
    "\n",
    "plt.subplot(1,3,2)\n",
    "plt.scatter(X,y, s = 2)\n",
    "#plt.plot(X, y_pred, '--',label ='Curva Teórica', c = 'r')\n",
    "plt.plot(X,tree_regressor.predict(X),label ='Árbol de Decisión', c = 'g')\n",
    "\n",
    "plt.xlabel('Metro Cuadrados')\n",
    "plt.ylabel('Precio')\n",
    "plt.legend()\n",
    "\n",
    "plt.subplot(1,3,3)\n",
    "plt.scatter(X,y, s = 2)\n",
    "#plt.plot(X, y_pred, '--',label ='Curva Teórica', c = 'r')\n",
    "plt.plot(X,knn_regressor.predict(X),label ='knn', c = 'g')\n",
    "\n",
    "plt.xlabel('Metro Cuadrados')\n",
    "plt.ylabel('Precio')\n",
    "plt.legend('Vecinos Cercanos')\n",
    "\n",
    "plt.tight_layout()\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "####Elegimos hacer los tres tipos de gráficos para poder comparar que predicciones nos dan mejores resultados. Vemos como conclución que el mejor grafico responde a Vecinos cercanos ya que nos da un resultado mas apróximado que Regresión lineal y Árbol de decisión"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Hacemos un arbol de decisión"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 148,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<Figure size 1080x720 with 0 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 1440x1080 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "from sklearn import tree\n",
    "plt.figure(figsize=(15, 10))\n",
    "if tree_regressor.max_depth < 4:\n",
    "    plt.figure(figsize = (20,15))\n",
    "    tree.plot_tree(tree_regressor, filled = True)\n",
    "   \n",
    "    plt.show()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Como conclusión del grafico vemos que 60 mts cuadrados cubiertos rondan los 150 mil dólares y tienen un rango diferencial de 70 mil dólares\n",
    "Por el otro extremo vemos que lso departamentos de 400 mts cuadrados rondan los 900 mil dólares y tienen un rango diferencial de 450 mil dólres"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Vamos a analizar el error del árbol de dicisión y vecinos cercanos"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 149,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "241702.83705670893\n",
      "263563.6286480237\n",
      "\n",
      "Con un depth de: 1\n",
      "Raíz del error cuadrático medio en Train: 241702.83705670893\n",
      "Raíz del error cuadrático medio en Test: 263563.6286480237\n",
      "210791.22684567072\n",
      "230815.7860779692\n",
      "\n",
      "Con un depth de: 2\n",
      "Raíz del error cuadrático medio en Train: 210791.22684567072\n",
      "Raíz del error cuadrático medio en Test: 230815.7860779692\n",
      "199409.30621384678\n",
      "219956.18250582382\n",
      "\n",
      "Con un depth de: 3\n",
      "Raíz del error cuadrático medio en Train: 199409.30621384678\n",
      "Raíz del error cuadrático medio en Test: 219956.18250582382\n",
      "196542.92977763028\n",
      "217631.658537393\n",
      "\n",
      "Con un depth de: 4\n",
      "Raíz del error cuadrático medio en Train: 196542.92977763028\n",
      "Raíz del error cuadrático medio en Test: 217631.658537393\n",
      "196038.14265990336\n",
      "214331.4120497579\n",
      "\n",
      "Con un depth de: 5\n",
      "Raíz del error cuadrático medio en Train: 196038.14265990336\n",
      "Raíz del error cuadrático medio en Test: 214331.4120497579\n",
      "194463.51402021828\n",
      "212681.0239572703\n",
      "\n",
      "Con un depth de: 6\n",
      "Raíz del error cuadrático medio en Train: 194463.51402021828\n",
      "Raíz del error cuadrático medio en Test: 212681.0239572703\n",
      "193440.86978607878\n",
      "211000.92611185656\n",
      "\n",
      "Con un depth de: 7\n",
      "Raíz del error cuadrático medio en Train: 193440.86978607878\n",
      "Raíz del error cuadrático medio en Test: 211000.92611185656\n",
      "192854.04484104388\n",
      "210335.6307971682\n",
      "\n",
      "Con un depth de: 8\n",
      "Raíz del error cuadrático medio en Train: 192854.04484104388\n",
      "Raíz del error cuadrático medio en Test: 210335.6307971682\n",
      "191912.72644736985\n",
      "208396.98700651704\n",
      "\n",
      "Con un depth de: 9\n",
      "Raíz del error cuadrático medio en Train: 191912.72644736985\n",
      "Raíz del error cuadrático medio en Test: 208396.98700651704\n"
     ]
    }
   ],
   "source": [
    "k_nei=[1,2,3,4,5,6,7,8,9] \n",
    "k_nei_train_error=[]\n",
    "k_nei_test_error=[]\n",
    "\n",
    "for k in k_nei:   \n",
    "    nei=KNeighborsRegressor(n_neighbors=k)\n",
    "    nei.fit(X_train,y_train)\n",
    "\n",
    "    y_train_pred_k=nei.predict(X_train)\n",
    "    y_test_pred_k=nei.predict(X_test)\n",
    "\n",
    "    rmse_train = np.sqrt(mean_squared_error(y_train, y_train_pred_k))\n",
    "    rmse_test= np.sqrt(mean_squared_error(y_test, y_test_pred_k))\n",
    "    print(rmse_train) \n",
    "    print(rmse_test)\n",
    "    \n",
    "    k_nei_train_error.append(rmse_train)\n",
    "    k_nei_test_error.append(rmse_test)\n",
    "    \n",
    "    print(\"\\nCon un depth de:\", k)\n",
    "    print(f'Raíz del error cuadrático medio en Train: {rmse_train}')\n",
    "    print(f'Raíz del error cuadrático medio en Test: {rmse_test}')\n",
    "\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 142,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "241977.38590562774\n",
      "246824.56631912984\n",
      "\n",
      "Con un depth de: 1\n",
      "Raíz del error cuadrático medio en Train: 241977.38590562774\n",
      "Raíz del error cuadrático medio en Test: 246824.56631912984\n",
      "221714.1717111161\n",
      "225947.7329780329\n",
      "\n",
      "Con un depth de: 2\n",
      "Raíz del error cuadrático medio en Train: 221714.1717111161\n",
      "Raíz del error cuadrático medio en Test: 225947.7329780329\n",
      "213213.8027447749\n",
      "216939.535641816\n",
      "\n",
      "Con un depth de: 3\n",
      "Raíz del error cuadrático medio en Train: 213213.8027447749\n",
      "Raíz del error cuadrático medio en Test: 216939.535641816\n",
      "210357.25111878265\n",
      "213541.81592936424\n",
      "\n",
      "Con un depth de: 4\n",
      "Raíz del error cuadrático medio en Train: 210357.25111878265\n",
      "Raíz del error cuadrático medio en Test: 213541.81592936424\n",
      "208079.40721421185\n",
      "212013.33401471542\n",
      "\n",
      "Con un depth de: 5\n",
      "Raíz del error cuadrático medio en Train: 208079.40721421185\n",
      "Raíz del error cuadrático medio en Test: 212013.33401471542\n",
      "201778.9511497717\n",
      "207976.6602744634\n",
      "\n",
      "Con un depth de: 6\n",
      "Raíz del error cuadrático medio en Train: 201778.9511497717\n",
      "Raíz del error cuadrático medio en Test: 207976.6602744634\n",
      "196484.19837135565\n",
      "206255.3467163364\n",
      "\n",
      "Con un depth de: 7\n",
      "Raíz del error cuadrático medio en Train: 196484.19837135565\n",
      "Raíz del error cuadrático medio en Test: 206255.3467163364\n",
      "191409.5762241156\n",
      "209209.11448699547\n",
      "\n",
      "Con un depth de: 8\n",
      "Raíz del error cuadrático medio en Train: 191409.5762241156\n",
      "Raíz del error cuadrático medio en Test: 209209.11448699547\n",
      "188429.2491296907\n",
      "206411.1416434034\n",
      "\n",
      "Con un depth de: 9\n",
      "Raíz del error cuadrático medio en Train: 188429.2491296907\n",
      "Raíz del error cuadrático medio en Test: 206411.1416434034\n"
     ]
    }
   ],
   "source": [
    "k_tree=[1,2,3,4,5,6,7,8,9] \n",
    "k_tree_train_error=[]\n",
    "k_tree_test_error=[]\n",
    "\n",
    "for k in k_tree:   \n",
    "    tree=DecisionTreeRegressor(max_depth=k,random_state=1)\n",
    "    tree.fit(X_train,y_train)\n",
    "\n",
    "    y_train_pred=tree.predict(X_train)\n",
    "    y_test_pred=tree.predict(X_test)\n",
    "\n",
    "    rmse_train = np.sqrt(mean_squared_error(y_train, y_train_pred))\n",
    "    rmse_test= np.sqrt(mean_squared_error(y_test, y_test_pred))\n",
    "    print(rmse_train) \n",
    "    print(rmse_test)\n",
    "    \n",
    "    k_tree_train_error.append(rmse_train)\n",
    "    k_tree_test_error.append(rmse_test)\n",
    "    \n",
    "    print(\"\\nCon un depth de:\", k)\n",
    "    print(f'Raíz del error cuadrático medio en Train: {rmse_train}')\n",
    "    print(f'Raíz del error cuadrático medio en Test: {rmse_test}')\n"
   ]
  },
  {
   "source": [
    "## RMSE\n",
    "\n",
    "Analizamos los valores con   RMSE ya que es la mejor medida frente  MAE debido a que nos da la diferencia entre la predicción y el valor real del error "
   ],
   "cell_type": "markdown",
   "metadata": {}
  },
  {
   "cell_type": "code",
   "execution_count": 143,
   "metadata": {
    "scrolled": true
   },
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 1080x720 with 2 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "\n",
    "fig, (ax1, ax2) = plt.subplots(ncols=2, sharey=True,figsize=(15,10))\n",
    "\n",
    "ax1.plot(k_tree,k_tree_train_error,'o-',label='train')\n",
    "ax1.plot(k_tree,k_tree_test_error,'o-',label='test')\n",
    "ax2.plot(k_nei,k_nei_train_error,'o-',label='train')\n",
    "ax2.plot(k_nei,k_nei_test_error,'o-',label='test')\n",
    "\n",
    "plt.legend()\n",
    "ax1.set_title(\"Modelo de arbol de decision\", size =14)\n",
    "ax2.set_title(\"Modelo de vecinos cercanos\", size =14)\n",
    "ax1.set_xlabel(\"N° ramas\")\n",
    "ax2.set_xlabel(\"N° vecinos\")\n",
    "ax1.set_ylabel(\"Error(En USD)\")\n",
    "ax2.set_ylabel(\"Error(En USD)\")\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "#### Vemos que el resultado mas conveniente es el de arbol de decisión pero la diferencia de acierto es de 200 mil dólares, debido al grango de precios de 4 millones."
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# Infomación que no usamos\n",
    "Algo que nos puede ser muy util, son las coordenadas ya que podriamos buscar información sobre los medios de transporte y cruzar los datos con las coordenadas y obtener mejores resultados de precios para poder comprender mejor el valor de las propiedades ya que si bien obtnemos los precios de los barrios por macro podemos obetener resultados mas micro con este tipo de información.\n",
    "\n",
    "Algo poco relevante en el dataset, es el titulo y la descripcion, ya que no proporciona nada de valor y no puede agruparse para ser analizada.\n"
   ]
  },
  {
   "source": [
    "___"
   ],
   "cell_type": "markdown",
   "metadata": {}
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Conclución Final\n",
    "\n",
    "Los mas caros son los Depositos, debido a su gran tamaño;\n",
    "pero es una excelente inversión para el futuro de los negocios de ecommerce.\n",
    "\n",
    "Como vivienda solo sirve construir como máximos 6 habitaciones y 5 baños \n",
    "ya despues de ello, no se genera rentabilidad.\n",
    "\n",
    "El grafico del arbol nos dio como resultado que el menor gap se encuentra en\n",
    "los departamentos mas chicos lo cual es bueno para consutruir y vender rapido\n",
    "ya que hay menor diferencia de precio comparando con superficies grandes.\n",
    "\n",
    "El barrio mas rentable para construir es Puerto Madero ya que es donde mas se\n",
    "despega del resto a nivel precio.\n",
    "\n",
    "Gracias!!!\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": []
  }
 ],
 "metadata": {
  "colab": {
   "collapsed_sections": [],
   "name": "Copy of DS_Proyecto_01.ipynb",
   "provenance": []
  },
  "kernelspec": {
   "display_name": "Python 3",
   "language": "python",
   "name": "python3"
  },
  "language_info": {
   "codemirror_mode": {
    "name": "ipython",
    "version": 3
   },
   "file_extension": ".py",
   "mimetype": "text/x-python",
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   "pygments_lexer": "ipython3",
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