PD_valencia_hoteles.ipynb

{
 "cells": [
  {
   "cell_type": "code",
   "execution_count": 6,
   "id": "710729bf",
   "metadata": {},
   "outputs": [],
   "source": [
    "# Importar bibliotecas necesarias\n",
    "import pandas as pd\n",
    "import matplotlib.pyplot as plt\n",
    "import seaborn as sns\n",
    "import geopandas as gpd\n",
    "import heapq\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "id": "63badb6d",
   "metadata": {},
   "outputs": [],
   "source": [
    "# Cargar archivos CSV\n",
    "precios_hoteles = pd.read_csv('../data/valenciahoteles.csv', encoding='latin-1')\n"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "44fa112d",
   "metadata": {},
   "source": [
    "### Exploración de la estructura del Datasets"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "id": "27ec2ee3",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "(3959, 10)"
      ]
     },
     "execution_count": 7,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# Se visualiza el número de registros y variables\n",
    "precios_hoteles.shape"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 9,
   "id": "747f19ab",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
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       "\n",
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       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>Nombre</th>\n",
       "      <th>Distrito</th>\n",
       "      <th>Valoración</th>\n",
       "      <th>Número de comentarios</th>\n",
       "      <th>Precio</th>\n",
       "      <th>Fecha</th>\n",
       "      <th>Dirección</th>\n",
       "      <th>CP</th>\n",
       "      <th>lat</th>\n",
       "      <th>long</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>HOSTAL ABASTOS</td>\n",
       "      <td>Extramurs, Valencia</td>\n",
       "      <td>7.9</td>\n",
       "      <td>767</td>\n",
       "      <td>38.0</td>\n",
       "      <td>2022-07-31</td>\n",
       "      <td>CALLE DE ALBERIQUE, 19, Valencia</td>\n",
       "      <td>46008</td>\n",
       "      <td>39.466484</td>\n",
       "      <td>-0.388092</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>BIZZBEACH</td>\n",
       "      <td>Poblados marítimos, Valencia</td>\n",
       "      <td>8.0</td>\n",
       "      <td>206</td>\n",
       "      <td>37.0</td>\n",
       "      <td>2022-07-31</td>\n",
       "      <td>CALLE DE IBIZA, 17, Valencia</td>\n",
       "      <td>46024</td>\n",
       "      <td>39.460211</td>\n",
       "      <td>-0.339943</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>HOSTAL ON DORMIRE VALENCIA</td>\n",
       "      <td>Quatre Carreres, Valencia</td>\n",
       "      <td>7.4</td>\n",
       "      <td>1458</td>\n",
       "      <td>27.5</td>\n",
       "      <td>2022-07-31</td>\n",
       "      <td>CALLE DE RUBEN VELA, 23, Valencia</td>\n",
       "      <td>46006</td>\n",
       "      <td>39.455528</td>\n",
       "      <td>-0.374437</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>ZALAMERA BNB</td>\n",
       "      <td>Extramurs, Valencia</td>\n",
       "      <td>8.8</td>\n",
       "      <td>1009</td>\n",
       "      <td>79.0</td>\n",
       "      <td>2022-07-31</td>\n",
       "      <td>CALLE DE PELAYO, 44, LA ROQUETA, Valencia</td>\n",
       "      <td>46007</td>\n",
       "      <td>39.465586</td>\n",
       "      <td>-0.379132</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>SWEET HOTEL RENASA</td>\n",
       "      <td>El Pla del Real, Valencia</td>\n",
       "      <td>8.1</td>\n",
       "      <td>3441</td>\n",
       "      <td>84.0</td>\n",
       "      <td>2022-07-31</td>\n",
       "      <td>AVENIDA DE CATALUÑA, 5, Valencia</td>\n",
       "      <td>46010</td>\n",
       "      <td>39.480567</td>\n",
       "      <td>-0.352960</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>5</th>\n",
       "      <td>PENSIÓN ALICANTE</td>\n",
       "      <td>Ciutat Vella, Valencia</td>\n",
       "      <td>8.2</td>\n",
       "      <td>1940</td>\n",
       "      <td>33.0</td>\n",
       "      <td>2022-07-31</td>\n",
       "      <td>CALLE DE RIBERA, 2, Valencia</td>\n",
       "      <td>46002</td>\n",
       "      <td>39.468880</td>\n",
       "      <td>-0.375860</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>6</th>\n",
       "      <td>HOTEL TURIA</td>\n",
       "      <td>Campanar, Valencia</td>\n",
       "      <td>7.5</td>\n",
       "      <td>3045</td>\n",
       "      <td>97.0</td>\n",
       "      <td>2022-07-31</td>\n",
       "      <td>CARRER DEL PROFESOR BELTRÁN BÁGUENA, 2, Valencia</td>\n",
       "      <td>46009</td>\n",
       "      <td>39.480357</td>\n",
       "      <td>-0.389011</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>7</th>\n",
       "      <td>HI VALENCIA CANOVAS</td>\n",
       "      <td>Eixample, Valencia</td>\n",
       "      <td>7.9</td>\n",
       "      <td>2214</td>\n",
       "      <td>67.5</td>\n",
       "      <td>2022-07-31</td>\n",
       "      <td>CALLE DE CIRILO AMORÓS, 82, Valencia</td>\n",
       "      <td>46004</td>\n",
       "      <td>39.466706</td>\n",
       "      <td>-0.372928</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>8</th>\n",
       "      <td>B&amp;B EL MERCAT</td>\n",
       "      <td>Ciutat Vella, Valencia</td>\n",
       "      <td>6.5</td>\n",
       "      <td>518</td>\n",
       "      <td>75.0</td>\n",
       "      <td>2022-07-31</td>\n",
       "      <td>CARRER DEL PEU DE LA CREU, 5, Valencia</td>\n",
       "      <td>46001</td>\n",
       "      <td>39.473021</td>\n",
       "      <td>-0.380425</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>9</th>\n",
       "      <td>SWEET HOTEL CONTINENTAL</td>\n",
       "      <td>Ciutat Vella, Valencia</td>\n",
       "      <td>8.1</td>\n",
       "      <td>3174</td>\n",
       "      <td>86.5</td>\n",
       "      <td>2022-07-31</td>\n",
       "      <td>CALLE DE CORREOS, 8, Valencia</td>\n",
       "      <td>46002</td>\n",
       "      <td>39.469706</td>\n",
       "      <td>-0.374548</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "                       Nombre                      Distrito  Valoración  \\\n",
       "0              HOSTAL ABASTOS           Extramurs, Valencia         7.9   \n",
       "1                   BIZZBEACH  Poblados marítimos, Valencia         8.0   \n",
       "2  HOSTAL ON DORMIRE VALENCIA     Quatre Carreres, Valencia         7.4   \n",
       "3                ZALAMERA BNB           Extramurs, Valencia         8.8   \n",
       "4          SWEET HOTEL RENASA     El Pla del Real, Valencia         8.1   \n",
       "5            PENSIÓN ALICANTE        Ciutat Vella, Valencia         8.2   \n",
       "6                 HOTEL TURIA            Campanar, Valencia         7.5   \n",
       "7         HI VALENCIA CANOVAS            Eixample, Valencia         7.9   \n",
       "8               B&B EL MERCAT        Ciutat Vella, Valencia         6.5   \n",
       "9     SWEET HOTEL CONTINENTAL        Ciutat Vella, Valencia         8.1   \n",
       "\n",
       "   Número de comentarios  Precio       Fecha  \\\n",
       "0                    767    38.0  2022-07-31   \n",
       "1                    206    37.0  2022-07-31   \n",
       "2                   1458    27.5  2022-07-31   \n",
       "3                   1009    79.0  2022-07-31   \n",
       "4                   3441    84.0  2022-07-31   \n",
       "5                   1940    33.0  2022-07-31   \n",
       "6                   3045    97.0  2022-07-31   \n",
       "7                   2214    67.5  2022-07-31   \n",
       "8                    518    75.0  2022-07-31   \n",
       "9                   3174    86.5  2022-07-31   \n",
       "\n",
       "                                           Dirección     CP        lat  \\\n",
       "0                  CALLE DE ALBERIQUE, 19, Valencia   46008  39.466484   \n",
       "1                      CALLE DE IBIZA, 17, Valencia   46024  39.460211   \n",
       "2                 CALLE DE RUBEN VELA, 23, Valencia   46006  39.455528   \n",
       "3         CALLE DE PELAYO, 44, LA ROQUETA, Valencia   46007  39.465586   \n",
       "4                  AVENIDA DE CATALUÑA, 5, Valencia   46010  39.480567   \n",
       "5                      CALLE DE RIBERA, 2, Valencia   46002  39.468880   \n",
       "6  CARRER DEL PROFESOR BELTRÁN BÁGUENA, 2, Valencia   46009  39.480357   \n",
       "7              CALLE DE CIRILO AMORÓS, 82, Valencia   46004  39.466706   \n",
       "8            CARRER DEL PEU DE LA CREU, 5, Valencia   46001  39.473021   \n",
       "9                     CALLE DE CORREOS, 8, Valencia   46002  39.469706   \n",
       "\n",
       "       long  \n",
       "0 -0.388092  \n",
       "1 -0.339943  \n",
       "2 -0.374437  \n",
       "3 -0.379132  \n",
       "4 -0.352960  \n",
       "5 -0.375860  \n",
       "6 -0.389011  \n",
       "7 -0.372928  \n",
       "8 -0.380425  \n",
       "9 -0.374548  "
      ]
     },
     "execution_count": 9,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "precios_hoteles.head(10)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 10,
   "id": "fe311f0d",
   "metadata": {},
   "outputs": [
    {
     "data": {
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       "      <th>Nombre</th>\n",
       "      <th>Distrito</th>\n",
       "      <th>Valoración</th>\n",
       "      <th>Número de comentarios</th>\n",
       "      <th>Precio</th>\n",
       "      <th>Fecha</th>\n",
       "      <th>Dirección</th>\n",
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       "      <th>long</th>\n",
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       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>577</th>\n",
       "      <td>COSMO HOTEL BOUTIQUE</td>\n",
       "      <td>Ciutat Vella, Valencia</td>\n",
       "      <td>9.3</td>\n",
       "      <td>2209</td>\n",
       "      <td>200.0</td>\n",
       "      <td>2022-10-09</td>\n",
       "      <td>AVENIDA DE MARÍA CRISTINA, 18, Valencia</td>\n",
       "      <td>46003</td>\n",
       "      <td>39.472747</td>\n",
       "      <td>-0.377347</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3663</th>\n",
       "      <td>HOSPES PALAU DE LA MAR</td>\n",
       "      <td>Eixample, Valencia</td>\n",
       "      <td>8.6</td>\n",
       "      <td>1145</td>\n",
       "      <td>243.0</td>\n",
       "      <td>2022-06-26</td>\n",
       "      <td>AVENIDA DE NAVARRO REVERTER, 14, Valencia</td>\n",
       "      <td>46004</td>\n",
       "      <td>39.470987</td>\n",
       "      <td>-0.366590</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2458</th>\n",
       "      <td>HOME YOUTH HOSTEL BY FEETUP HOSTELS</td>\n",
       "      <td>Ciutat Vella, Valencia</td>\n",
       "      <td>8.7</td>\n",
       "      <td>862</td>\n",
       "      <td>72.5</td>\n",
       "      <td>2022-09-18</td>\n",
       "      <td>CALLE  DE LA LONJA, 4, Valencia</td>\n",
       "      <td>46001</td>\n",
       "      <td>39.474436</td>\n",
       "      <td>-0.377994</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2898</th>\n",
       "      <td>HOTEL DIMAR</td>\n",
       "      <td>Eixample, Valencia</td>\n",
       "      <td>8.6</td>\n",
       "      <td>2109</td>\n",
       "      <td>110.0</td>\n",
       "      <td>2022-08-07</td>\n",
       "      <td>GRAN VIA DEL MARQUES DEL TURIA, 80, Valencia</td>\n",
       "      <td>46005</td>\n",
       "      <td>39.468349</td>\n",
       "      <td>-0.365033</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3301</th>\n",
       "      <td>HOTEL VALENCIA CENTER</td>\n",
       "      <td>Camins al Grau, Valencia</td>\n",
       "      <td>8.3</td>\n",
       "      <td>5520</td>\n",
       "      <td>173.5</td>\n",
       "      <td>2022-12-11</td>\n",
       "      <td>AVENIDA DE FRANCIA, 33, GRAO, Valencia</td>\n",
       "      <td>46023</td>\n",
       "      <td>39.460170</td>\n",
       "      <td>-0.349480</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
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      ],
      "text/plain": [
       "                                   Nombre                  Distrito  \\\n",
       "577                  COSMO HOTEL BOUTIQUE    Ciutat Vella, Valencia   \n",
       "3663               HOSPES PALAU DE LA MAR        Eixample, Valencia   \n",
       "2458  HOME YOUTH HOSTEL BY FEETUP HOSTELS    Ciutat Vella, Valencia   \n",
       "2898                          HOTEL DIMAR        Eixample, Valencia   \n",
       "3301                HOTEL VALENCIA CENTER  Camins al Grau, Valencia   \n",
       "\n",
       "      Valoración  Número de comentarios  Precio       Fecha  \\\n",
       "577          9.3                   2209   200.0  2022-10-09   \n",
       "3663         8.6                   1145   243.0  2022-06-26   \n",
       "2458         8.7                    862    72.5  2022-09-18   \n",
       "2898         8.6                   2109   110.0  2022-08-07   \n",
       "3301         8.3                   5520   173.5  2022-12-11   \n",
       "\n",
       "                                          Dirección     CP        lat  \\\n",
       "577        AVENIDA DE MARÍA CRISTINA, 18, Valencia   46003  39.472747   \n",
       "3663     AVENIDA DE NAVARRO REVERTER, 14, Valencia   46004  39.470987   \n",
       "2458               CALLE  DE LA LONJA, 4, Valencia   46001  39.474436   \n",
       "2898  GRAN VIA DEL MARQUES DEL TURIA, 80, Valencia   46005  39.468349   \n",
       "3301        AVENIDA DE FRANCIA, 33, GRAO, Valencia   46023  39.460170   \n",
       "\n",
       "          long  \n",
       "577  -0.377347  \n",
       "3663 -0.366590  \n",
       "2458 -0.377994  \n",
       "2898 -0.365033  \n",
       "3301 -0.349480  "
      ]
     },
     "execution_count": 10,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# Se visualizan 3 registros aleatorios con sus respectivas variables\n",
    "precios_hoteles.sample(5)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 11,
   "id": "f5e2fe67",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "Nombre                    object\n",
       "Distrito                  object\n",
       "Valoración               float64\n",
       "Número de comentarios      int64\n",
       "Precio                   float64\n",
       "Fecha                     object\n",
       "Dirección                 object\n",
       "CP                         int64\n",
       "lat                      float64\n",
       "long                     float64\n",
       "dtype: object"
      ]
     },
     "execution_count": 11,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# Se visualiza que algunas variables como fecha, CP, lat y long tienen su formato mal definido\n",
    "precios_hoteles.dtypes"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 13,
   "id": "f6dc8ed0",
   "metadata": {},
   "outputs": [],
   "source": [
    "# Se transforma la columna \"Fecha\" a formato datetime64[ns]\n",
    "precios_hoteles['Fecha']  = pd.to_datetime(precios_hoteles['Fecha'],)\n",
    "\n",
    "# Se transforman las variables CP, lat y long a OBJECT\n",
    "\n",
    "precios_hoteles['CP'] = precios_hoteles['CP'].astype('object')\n",
    "precios_hoteles['lat'] = precios_hoteles['lat'].astype('object')\n",
    "precios_hoteles['long'] = precios_hoteles['long'].astype('object')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 14,
   "id": "6234d36c",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "Nombre                           object\n",
       "Distrito                         object\n",
       "Valoración                      float64\n",
       "Número de comentarios             int64\n",
       "Precio                          float64\n",
       "Fecha                    datetime64[ns]\n",
       "Dirección                        object\n",
       "CP                               object\n",
       "lat                              object\n",
       "long                             object\n",
       "dtype: object"
      ]
     },
     "execution_count": 14,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "precios_hoteles.dtypes"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 10,
   "id": "bc5eafe5",
   "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>Valoración</th>\n",
       "      <th>Número de comentarios</th>\n",
       "      <th>Precio</th>\n",
       "      <th>CP</th>\n",
       "      <th>lat</th>\n",
       "      <th>long</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>count</th>\n",
       "      <td>3959.000000</td>\n",
       "      <td>3959.000000</td>\n",
       "      <td>3959.000000</td>\n",
       "      <td>3959.000000</td>\n",
       "      <td>3959.000000</td>\n",
       "      <td>3959.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>mean</th>\n",
       "      <td>8.316292</td>\n",
       "      <td>2193.210154</td>\n",
       "      <td>140.196262</td>\n",
       "      <td>46009.910331</td>\n",
       "      <td>39.468972</td>\n",
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       "    </tr>\n",
       "    <tr>\n",
       "      <th>std</th>\n",
       "      <td>0.616531</td>\n",
       "      <td>2021.854114</td>\n",
       "      <td>84.133629</td>\n",
       "      <td>8.371599</td>\n",
       "      <td>0.012474</td>\n",
       "      <td>0.019743</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>min</th>\n",
       "      <td>5.700000</td>\n",
       "      <td>12.000000</td>\n",
       "      <td>20.000000</td>\n",
       "      <td>46001.000000</td>\n",
       "      <td>39.383230</td>\n",
       "      <td>-0.425110</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>25%</th>\n",
       "      <td>8.000000</td>\n",
       "      <td>1006.000000</td>\n",
       "      <td>84.000000</td>\n",
       "      <td>46003.000000</td>\n",
       "      <td>39.463394</td>\n",
       "      <td>-0.376980</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>50%</th>\n",
       "      <td>8.400000</td>\n",
       "      <td>1666.000000</td>\n",
       "      <td>122.000000</td>\n",
       "      <td>46007.000000</td>\n",
       "      <td>39.469227</td>\n",
       "      <td>-0.372568</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>75%</th>\n",
       "      <td>8.700000</td>\n",
       "      <td>2629.000000</td>\n",
       "      <td>169.000000</td>\n",
       "      <td>46015.000000</td>\n",
       "      <td>39.473504</td>\n",
       "      <td>-0.355820</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>max</th>\n",
       "      <td>9.500000</td>\n",
       "      <td>12713.000000</td>\n",
       "      <td>855.000000</td>\n",
       "      <td>46035.000000</td>\n",
       "      <td>39.504180</td>\n",
       "      <td>-0.323346</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "        Valoración  Número de comentarios       Precio            CP  \\\n",
       "count  3959.000000            3959.000000  3959.000000   3959.000000   \n",
       "mean      8.316292            2193.210154   140.196262  46009.910331   \n",
       "std       0.616531            2021.854114    84.133629      8.371599   \n",
       "min       5.700000              12.000000    20.000000  46001.000000   \n",
       "25%       8.000000            1006.000000    84.000000  46003.000000   \n",
       "50%       8.400000            1666.000000   122.000000  46007.000000   \n",
       "75%       8.700000            2629.000000   169.000000  46015.000000   \n",
       "max       9.500000           12713.000000   855.000000  46035.000000   \n",
       "\n",
       "               lat         long  \n",
       "count  3959.000000  3959.000000  \n",
       "mean     39.468972    -0.367077  \n",
       "std       0.012474     0.019743  \n",
       "min      39.383230    -0.425110  \n",
       "25%      39.463394    -0.376980  \n",
       "50%      39.469227    -0.372568  \n",
       "75%      39.473504    -0.355820  \n",
       "max      39.504180    -0.323346  "
      ]
     },
     "execution_count": 10,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# Estadísticas descriptivas del DataFrame resultante\n",
    "precios_hoteles.describe()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 15,
   "id": "ca8db051",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "En este Datasets se presentan los siguientes 13 distritos:\n",
      "                               0\n",
      "0            Extramurs, Valencia\n",
      "1   Poblados marítimos, Valencia\n",
      "2      Quatre Carreres, Valencia\n",
      "3      El Pla del Real, Valencia\n",
      "4         Ciutat Vella, Valencia\n",
      "5             Campanar, Valencia\n",
      "6             Eixample, Valencia\n",
      "7       Camins al Grau, Valencia\n",
      "8            Benicalap, Valencia\n",
      "9   Poblados del Oeste, Valencia\n",
      "10          Benimaclet, Valencia\n",
      "11             Algirós, Valencia\n",
      "12           La Saïdia, Valencia\n"
     ]
    }
   ],
   "source": [
    "# Análisis por Distrito: Cantidad de distritos\n",
    "num_distritos = precios_hoteles['Distrito'].nunique()\n",
    "\n",
    "print(\"En este Datasets se presentan los siguientes %d distritos:\" %num_distritos)\n",
    "distritos = precios_hoteles['Distrito'].unique()\n",
    "distritos_df = pd.DataFrame(distritos)\n",
    "print(distritos_df)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 16,
   "id": "3f11ba51",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "Ciutat Vella, Valencia          1440\n",
       "Camins al Grau, Valencia         607\n",
       "Poblados marítimos, Valencia     415\n",
       "Eixample, Valencia               408\n",
       "Quatre Carreres, Valencia        304\n",
       "Extramurs, Valencia              211\n",
       "Benicalap, Valencia              157\n",
       "Campanar, Valencia               126\n",
       "Poblados del Oeste, Valencia     126\n",
       "El Pla del Real, Valencia        114\n",
       "Benimaclet, Valencia              38\n",
       "Algirós, Valencia                  8\n",
       "La Saïdia, Valencia                5\n",
       "Name: Distrito, dtype: int64"
      ]
     },
     "execution_count": 16,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# Análisis por Distrito: Cantidad de Hoteles por distrito\n",
    "precios_hoteles['Distrito'].value_counts()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 17,
   "id": "861e4636",
   "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>Promedio de Valoración</th>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Distrito</th>\n",
       "      <th></th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>Eixample, Valencia</th>\n",
       "      <td>8.6</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Benimaclet, Valencia</th>\n",
       "      <td>8.5</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Ciutat Vella, Valencia</th>\n",
       "      <td>8.5</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Extramurs, Valencia</th>\n",
       "      <td>8.4</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Camins al Grau, Valencia</th>\n",
       "      <td>8.3</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>El Pla del Real, Valencia</th>\n",
       "      <td>8.3</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Benicalap, Valencia</th>\n",
       "      <td>8.2</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Poblados del Oeste, Valencia</th>\n",
       "      <td>8.2</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Poblados marítimos, Valencia</th>\n",
       "      <td>8.1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Campanar, Valencia</th>\n",
       "      <td>8.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Algirós, Valencia</th>\n",
       "      <td>7.9</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Quatre Carreres, Valencia</th>\n",
       "      <td>7.9</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>La Saïdia, Valencia</th>\n",
       "      <td>6.4</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "                              Promedio de Valoración\n",
       "Distrito                                            \n",
       "Eixample, Valencia                               8.6\n",
       "Benimaclet, Valencia                             8.5\n",
       "Ciutat Vella, Valencia                           8.5\n",
       "Extramurs, Valencia                              8.4\n",
       "Camins al Grau, Valencia                         8.3\n",
       "El Pla del Real, Valencia                        8.3\n",
       "Benicalap, Valencia                              8.2\n",
       "Poblados del Oeste, Valencia                     8.2\n",
       "Poblados marítimos, Valencia                     8.1\n",
       "Campanar, Valencia                               8.0\n",
       "Algirós, Valencia                                7.9\n",
       "Quatre Carreres, Valencia                        7.9\n",
       "La Saïdia, Valencia                              6.4"
      ]
     },
     "execution_count": 17,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# Promedio de valoraciones según distrito\n",
    "\n",
    "columnas_eliminar = ['Número de comentarios','Precio']\n",
    "\n",
    "prom_distritos = precios_hoteles.groupby(by='Distrito').mean('Valoración').round(decimals=1).rename(columns={'Valoración': 'Promedio de Valoración'}).drop(columnas_eliminar, axis=1)\n",
    "prom_distritos.sort_values('Promedio de Valoración', ascending=False)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 18,
   "id": "5afa2245",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "En este Datasets se presentan los siguientes 154 hoteles:\n",
      "                              0\n",
      "0                HOSTAL ABASTOS\n",
      "1                     BIZZBEACH\n",
      "2    HOSTAL ON DORMIRE VALENCIA\n",
      "3                  ZALAMERA BNB\n",
      "4            SWEET HOTEL RENASA\n",
      "..                          ...\n",
      "149  PLAZA REDONDA BRUGADA HOME\n",
      "150        DORMAVALENCIA HOSTEL\n",
      "151            THE RIVER HOSTEL\n",
      "152          UP HOSTEL VALENCIA\n",
      "153             CANTAGUA HOSTEL\n",
      "\n",
      "[154 rows x 1 columns]\n"
     ]
    }
   ],
   "source": [
    "# Análisis por Hotel: Cantidad de hoteles\n",
    "num_hoteles = precios_hoteles['Nombre'].nunique()\n",
    "\n",
    "print(\"En este Datasets se presentan los siguientes %d hoteles:\" %num_hoteles)\n",
    "hoteles = precios_hoteles['Nombre'].unique()\n",
    "hoteles_df = pd.DataFrame(hoteles)\n",
    "print(hoteles_df)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 19,
   "id": "e57aeed4",
   "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>Cantidad</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>THE WESTIN VALENCIA</th>\n",
       "      <td>43</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>AC HOTEL VALENCIA BY MARRIOTT</th>\n",
       "      <td>43</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>HOTEL TURIA</th>\n",
       "      <td>43</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>SERCOTEL SOROLLA PALACE</th>\n",
       "      <td>43</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>ILUNION AQUA 4</th>\n",
       "      <td>43</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>...</th>\n",
       "      <td>...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>SUITES BY ERIC OLSAN (PESET)</th>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>DORMAVALENCIA HOSTEL</th>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>THE RIVER HOSTEL</th>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>UP HOSTEL VALENCIA</th>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>CANTAGUA HOSTEL</th>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>154 rows × 1 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "                               Cantidad\n",
       "THE WESTIN VALENCIA                  43\n",
       "AC HOTEL VALENCIA BY MARRIOTT        43\n",
       "HOTEL TURIA                          43\n",
       "SERCOTEL SOROLLA PALACE              43\n",
       "ILUNION AQUA 4                       43\n",
       "...                                 ...\n",
       "SUITES BY ERIC OLSAN (PESET)          1\n",
       "DORMAVALENCIA HOSTEL                  1\n",
       "THE RIVER HOSTEL                      1\n",
       "UP HOSTEL VALENCIA                    1\n",
       "CANTAGUA HOSTEL                       1\n",
       "\n",
       "[154 rows x 1 columns]"
      ]
     },
     "execution_count": 19,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "qa_hoteles = precios_hoteles['Nombre'].value_counts()\n",
    "qa_hoteles = pd.DataFrame(qa_hoteles)\n",
    "qa_hoteles.rename(columns={'Nombre': 'Cantidad'})"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 20,
   "id": "b4588a5c",
   "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>Cantidad</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>THE WESTIN VALENCIA</th>\n",
       "      <td>43</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>AC HOTEL VALENCIA BY MARRIOTT</th>\n",
       "      <td>43</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>HOTEL TURIA</th>\n",
       "      <td>43</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>SERCOTEL SOROLLA PALACE</th>\n",
       "      <td>43</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>ILUNION AQUA 4</th>\n",
       "      <td>43</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>HOTEL MALCOM AND BARRET</th>\n",
       "      <td>43</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>PALACIO VALLIER 5*</th>\n",
       "      <td>42</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>HOLIDAY INN EXPRESS CIUDAD DE LAS CIENCIAS, AN IHG HOTEL</th>\n",
       "      <td>42</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>ILUNION AQUA 3</th>\n",
       "      <td>42</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>HOSPES PALAU DE LA MAR</th>\n",
       "      <td>42</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "                                                    Cantidad\n",
       "THE WESTIN VALENCIA                                       43\n",
       "AC HOTEL VALENCIA BY MARRIOTT                             43\n",
       "HOTEL TURIA                                               43\n",
       "SERCOTEL SOROLLA PALACE                                   43\n",
       "ILUNION AQUA 4                                            43\n",
       "HOTEL MALCOM AND BARRET                                   43\n",
       "PALACIO VALLIER 5*                                        42\n",
       "HOLIDAY INN EXPRESS CIUDAD DE LAS CIENCIAS, AN ...        42\n",
       "ILUNION AQUA 3                                            42\n",
       "HOSPES PALAU DE LA MAR                                    42"
      ]
     },
     "execution_count": 20,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "q_hoteles_may = precios_hoteles['Nombre'].value_counts().head(10)\n",
    "q_hoteles_may = pd.DataFrame(q_hoteles_may)\n",
    "q_hoteles_may.rename(columns={'Nombre': 'Cantidad'})"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 21,
   "id": "c1fe0b83",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "PENSIÓN MORATIN                                                                        3\n",
       "PLAZA REDONDA BRUGADA HOME                                                             3\n",
       "PENSIÓN UNIVERSAL                                                                      2\n",
       "VALENCIA SUITS YOU INN -ADULTS ONLY ROOMS, REMOTE CHECK IN, BIKE & E-SCOOTER RENTAL    2\n",
       "FETÉN                                                                                  1\n",
       "SUITES BY ERIC OLSAN (PESET)                                                           1\n",
       "DORMAVALENCIA HOSTEL                                                                   1\n",
       "THE RIVER HOSTEL                                                                       1\n",
       "UP HOSTEL VALENCIA                                                                     1\n",
       "CANTAGUA HOSTEL                                                                        1\n",
       "Name: Nombre, dtype: int64"
      ]
     },
     "execution_count": 21,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "q_hoteles_men = precios_hoteles['Nombre'].value_counts().tail(10)\n",
    "q_hoteles_men"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 22,
   "id": "228ab101",
   "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>Promedio de Valoración</th>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Nombre</th>\n",
       "      <th></th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>PALACIO VALLIER 5*</th>\n",
       "      <td>9.5</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>HOTEL 19-30 VALENCIA</th>\n",
       "      <td>9.4</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>FETÉN</th>\n",
       "      <td>9.4</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>L'ESPLAI VALENCIA</th>\n",
       "      <td>9.4</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>YOURS BOUTIQUE STAY</th>\n",
       "      <td>9.3</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "                      Promedio de Valoración\n",
       "Nombre                                      \n",
       "PALACIO VALLIER 5*                       9.5\n",
       "HOTEL 19-30 VALENCIA                     9.4\n",
       "FETÉN                                    9.4\n",
       "L'ESPLAI VALENCIA                        9.4\n",
       "YOURS BOUTIQUE STAY                      9.3"
      ]
     },
     "execution_count": 22,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# Promedio de valoraciones en los mejores 5 hoteles\n",
    "\n",
    "columnas_eliminar = ['Número de comentarios','Precio']\n",
    "\n",
    "prom_hoteles = precios_hoteles.groupby(by='Nombre').mean('Valoración').round(decimals=1).rename(columns={'Valoración': 'Promedio de Valoración'}).drop(columnas_eliminar, axis=1).sort_values('Promedio de Valoración', ascending=False).head(5)\n",
    "prom_hoteles"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 23,
   "id": "d70ac290",
   "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>Promedio de Valoración</th>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Nombre</th>\n",
       "      <th></th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>MALVARROSA BEACH ROOMS</th>\n",
       "      <td>5.7</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>RUZAFA ROOMS</th>\n",
       "      <td>6.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>THE TOWERS OF SERRANO HOME</th>\n",
       "      <td>6.2</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>B&amp;B EL MERCAT</th>\n",
       "      <td>6.5</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>PENSIÓN MORATIN</th>\n",
       "      <td>6.8</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "                            Promedio de Valoración\n",
       "Nombre                                            \n",
       "MALVARROSA BEACH ROOMS                         5.7\n",
       "RUZAFA ROOMS                                   6.0\n",
       "THE TOWERS OF SERRANO HOME                     6.2\n",
       "B&B EL MERCAT                                  6.5\n",
       "PENSIÓN MORATIN                                6.8"
      ]
     },
     "execution_count": 23,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# Promedio de valoraciones en los peores 5 hoteles\n",
    "\n",
    "columnas_eliminar = ['Número de comentarios','Precio']\n",
    "\n",
    "prom_peores_hoteles = precios_hoteles.groupby(by='Nombre').mean('Valoración').round(decimals=1).rename(columns={'Valoración': 'Promedio de Valoración'}).drop(columnas_eliminar, axis=1).sort_values('Promedio de Valoración').head(5)\n",
    "prom_peores_hoteles"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 24,
   "id": "f62ad6f3",
   "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>Nombre</th>\n",
       "      <th>Distrito</th>\n",
       "      <th>Valoración</th>\n",
       "      <th>Número de comentarios</th>\n",
       "      <th>Precio</th>\n",
       "      <th>Fecha</th>\n",
       "      <th>Dirección</th>\n",
       "      <th>CP</th>\n",
       "      <th>lat</th>\n",
       "      <th>long</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>7</th>\n",
       "      <td>HI VALENCIA CANOVAS</td>\n",
       "      <td>Eixample, Valencia</td>\n",
       "      <td>7.9</td>\n",
       "      <td>2214</td>\n",
       "      <td>67.5</td>\n",
       "      <td>2022-07-31</td>\n",
       "      <td>CALLE DE CIRILO AMORÓS, 82, Valencia</td>\n",
       "      <td>46004</td>\n",
       "      <td>39.466706</td>\n",
       "      <td>-0.372928</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>33</th>\n",
       "      <td>ONE SHOT COLÓN 46</td>\n",
       "      <td>Eixample, Valencia</td>\n",
       "      <td>8.5</td>\n",
       "      <td>1556</td>\n",
       "      <td>137.0</td>\n",
       "      <td>2022-07-31</td>\n",
       "      <td>CALLE DE COLÓN, 46, Valencia</td>\n",
       "      <td>46004</td>\n",
       "      <td>39.469227</td>\n",
       "      <td>-0.371587</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>40</th>\n",
       "      <td>HOTEL DIMAR</td>\n",
       "      <td>Eixample, Valencia</td>\n",
       "      <td>8.6</td>\n",
       "      <td>2111</td>\n",
       "      <td>130.0</td>\n",
       "      <td>2022-07-31</td>\n",
       "      <td>GRAN VIA DEL MARQUES DEL TURIA, 80, Valencia</td>\n",
       "      <td>46005</td>\n",
       "      <td>39.468349</td>\n",
       "      <td>-0.365033</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>58</th>\n",
       "      <td>SENATOR PARQUE CENTRAL HOTEL</td>\n",
       "      <td>Eixample, Valencia</td>\n",
       "      <td>8.0</td>\n",
       "      <td>3580</td>\n",
       "      <td>97.0</td>\n",
       "      <td>2022-07-31</td>\n",
       "      <td>PLAZA MANUEL SANCHIS GUARNER, 1, Valencia</td>\n",
       "      <td>46006</td>\n",
       "      <td>39.45748</td>\n",
       "      <td>-0.375512</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>73</th>\n",
       "      <td>HOSPES PALAU DE LA MAR</td>\n",
       "      <td>Eixample, Valencia</td>\n",
       "      <td>8.6</td>\n",
       "      <td>1145</td>\n",
       "      <td>193.5</td>\n",
       "      <td>2022-07-31</td>\n",
       "      <td>AVENIDA DE NAVARRO REVERTER, 14, Valencia</td>\n",
       "      <td>46004</td>\n",
       "      <td>39.470987</td>\n",
       "      <td>-0.36659</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",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3904</th>\n",
       "      <td>AC HOTEL COLÓN VALENCIA BY MARRIOTT</td>\n",
       "      <td>Eixample, Valencia</td>\n",
       "      <td>8.5</td>\n",
       "      <td>490</td>\n",
       "      <td>145.0</td>\n",
       "      <td>2022-11-13</td>\n",
       "      <td>CALLE DE COLÓN, 6, Valencia</td>\n",
       "      <td>46004</td>\n",
       "      <td>39.467302</td>\n",
       "      <td>-0.374367</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3905</th>\n",
       "      <td>RUSSAFA YOUTH HOSTEL</td>\n",
       "      <td>Eixample, Valencia</td>\n",
       "      <td>8.4</td>\n",
       "      <td>713</td>\n",
       "      <td>60.5</td>\n",
       "      <td>2022-11-13</td>\n",
       "      <td>CALLE DEL PADRE PERERA, 5, Valencia</td>\n",
       "      <td>46006</td>\n",
       "      <td>39.462618</td>\n",
       "      <td>-0.371846</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3925</th>\n",
       "      <td>NH COLLECTION COLÓN VALENCIA</td>\n",
       "      <td>Eixample, Valencia</td>\n",
       "      <td>8.7</td>\n",
       "      <td>986</td>\n",
       "      <td>152.5</td>\n",
       "      <td>2022-11-13</td>\n",
       "      <td>CALLE DE COLÓN, 32, Valencia</td>\n",
       "      <td>46004</td>\n",
       "      <td>39.468559</td>\n",
       "      <td>-0.372568</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3936</th>\n",
       "      <td>MD MODERN HOTEL - JARDINES</td>\n",
       "      <td>Eixample, Valencia</td>\n",
       "      <td>8.5</td>\n",
       "      <td>1133</td>\n",
       "      <td>133.0</td>\n",
       "      <td>2022-11-13</td>\n",
       "      <td>CARRER DEL MESTRE RACIONAL, 23, Valencia</td>\n",
       "      <td>46005</td>\n",
       "      <td>39.464181</td>\n",
       "      <td>-0.361751</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3940</th>\n",
       "      <td>YOURS BOUTIQUE STAY</td>\n",
       "      <td>Eixample, Valencia</td>\n",
       "      <td>9.3</td>\n",
       "      <td>150</td>\n",
       "      <td>131.5</td>\n",
       "      <td>2022-11-13</td>\n",
       "      <td>CARRER DE CUBA, 19, Valencia</td>\n",
       "      <td>46006</td>\n",
       "      <td>39.462015</td>\n",
       "      <td>-0.37698</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>408 rows × 10 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "                                   Nombre            Distrito  Valoración  \\\n",
       "7                     HI VALENCIA CANOVAS  Eixample, Valencia         7.9   \n",
       "33                      ONE SHOT COLÓN 46  Eixample, Valencia         8.5   \n",
       "40                            HOTEL DIMAR  Eixample, Valencia         8.6   \n",
       "58           SENATOR PARQUE CENTRAL HOTEL  Eixample, Valencia         8.0   \n",
       "73                 HOSPES PALAU DE LA MAR  Eixample, Valencia         8.6   \n",
       "...                                   ...                 ...         ...   \n",
       "3904  AC HOTEL COLÓN VALENCIA BY MARRIOTT  Eixample, Valencia         8.5   \n",
       "3905                 RUSSAFA YOUTH HOSTEL  Eixample, Valencia         8.4   \n",
       "3925         NH COLLECTION COLÓN VALENCIA  Eixample, Valencia         8.7   \n",
       "3936           MD MODERN HOTEL - JARDINES  Eixample, Valencia         8.5   \n",
       "3940                  YOURS BOUTIQUE STAY  Eixample, Valencia         9.3   \n",
       "\n",
       "      Número de comentarios  Precio      Fecha  \\\n",
       "7                      2214    67.5 2022-07-31   \n",
       "33                     1556   137.0 2022-07-31   \n",
       "40                     2111   130.0 2022-07-31   \n",
       "58                     3580    97.0 2022-07-31   \n",
       "73                     1145   193.5 2022-07-31   \n",
       "...                     ...     ...        ...   \n",
       "3904                    490   145.0 2022-11-13   \n",
       "3905                    713    60.5 2022-11-13   \n",
       "3925                    986   152.5 2022-11-13   \n",
       "3936                   1133   133.0 2022-11-13   \n",
       "3940                    150   131.5 2022-11-13   \n",
       "\n",
       "                                          Dirección     CP        lat  \\\n",
       "7             CALLE DE CIRILO AMORÓS, 82, Valencia   46004  39.466706   \n",
       "33                    CALLE DE COLÓN, 46, Valencia   46004  39.469227   \n",
       "40    GRAN VIA DEL MARQUES DEL TURIA, 80, Valencia   46005  39.468349   \n",
       "58       PLAZA MANUEL SANCHIS GUARNER, 1, Valencia   46006   39.45748   \n",
       "73       AVENIDA DE NAVARRO REVERTER, 14, Valencia   46004  39.470987   \n",
       "...                                             ...    ...        ...   \n",
       "3904                   CALLE DE COLÓN, 6, Valencia   46004  39.467302   \n",
       "3905           CALLE DEL PADRE PERERA, 5, Valencia   46006  39.462618   \n",
       "3925                  CALLE DE COLÓN, 32, Valencia   46004  39.468559   \n",
       "3936      CARRER DEL MESTRE RACIONAL, 23, Valencia   46005  39.464181   \n",
       "3940                  CARRER DE CUBA, 19, Valencia   46006  39.462015   \n",
       "\n",
       "          long  \n",
       "7    -0.372928  \n",
       "33   -0.371587  \n",
       "40   -0.365033  \n",
       "58   -0.375512  \n",
       "73    -0.36659  \n",
       "...        ...  \n",
       "3904 -0.374367  \n",
       "3905 -0.371846  \n",
       "3925 -0.372568  \n",
       "3936 -0.361751  \n",
       "3940  -0.37698  \n",
       "\n",
       "[408 rows x 10 columns]"
      ]
     },
     "execution_count": 24,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "Eixample = precios_hoteles[precios_hoteles['Distrito']== 'Eixample, Valencia']\n",
    "Eixample"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 25,
   "id": "aca2b374",
   "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>Promedio de Valoración</th>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Nombre</th>\n",
       "      <th></th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>YOURS BOUTIQUE STAY</th>\n",
       "      <td>9.3</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>CITY GARDEN BED AND BREAKFAST</th>\n",
       "      <td>8.9</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>SOHO VALENCIA</th>\n",
       "      <td>8.9</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>ABCYOU BED&amp;BREAKFAST</th>\n",
       "      <td>8.7</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>HOGRAFIC HOTEL BOUTIQUE</th>\n",
       "      <td>8.7</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "                               Promedio de Valoración\n",
       "Nombre                                               \n",
       "YOURS BOUTIQUE STAY                               9.3\n",
       "CITY GARDEN BED AND BREAKFAST                     8.9\n",
       "SOHO VALENCIA                                     8.9\n",
       "ABCYOU BED&BREAKFAST                              8.7\n",
       "HOGRAFIC HOTEL BOUTIQUE                           8.7"
      ]
     },
     "execution_count": 25,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "columnas_eliminar = ['Número de comentarios','Precio']\n",
    "\n",
    "prom_hotelesEix = Eixample.groupby(by='Nombre').mean('Valoración').round(decimals=1).rename(columns={'Valoración': 'Promedio de Valoración'}).drop(columnas_eliminar, axis=1).sort_values('Promedio de Valoración', ascending=False).head(5)\n",
    "prom_hotelesEix"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 26,
   "id": "8f6b0f6e",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "# Los hoteles con mejor promedio en el distrito con mejor promedio\n",
    "prom_hotelesEix.plot.barh()\n",
    "# Mostrar el gráfico\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 11,
   "id": "a7f319dd",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "# Crear un gráfico de barras con los datos de la columna 'Precio' y 'Nombre'\n",
    "precios_hoteles.plot.bar(x='Nombre', y='Precio', rot=0)\n",
    "# Mostrar el gráfico\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 12,
   "id": "337bf616",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "# Crear un gráfico de dispersión con los datos de la columna 'Precio' y 'Valoración'\n",
    "precios_hoteles.plot.scatter(x='Valoración', y='Precio')\n",
    "\n",
    "# Mostrar el gráfico\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 18,
   "id": "a79589cc",
   "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>Nombre</th>\n",
       "      <th>Distrito</th>\n",
       "      <th>Valoración</th>\n",
       "      <th>Número de comentarios</th>\n",
       "      <th>Precio</th>\n",
       "      <th>Fecha</th>\n",
       "      <th>Dirección</th>\n",
       "      <th>CP</th>\n",
       "      <th>lat</th>\n",
       "      <th>long</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>SWEET HOTEL RENASA</td>\n",
       "      <td>El Pla del Real, Valencia</td>\n",
       "      <td>8.1</td>\n",
       "      <td>3441</td>\n",
       "      <td>84.0</td>\n",
       "      <td>2022-07-31</td>\n",
       "      <td>AVENIDA DE CATALUÑA, 5, Valencia</td>\n",
       "      <td>46010</td>\n",
       "      <td>39.480567</td>\n",
       "      <td>-0.352960</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>6</th>\n",
       "      <td>HOTEL TURIA</td>\n",
       "      <td>Campanar, Valencia</td>\n",
       "      <td>7.5</td>\n",
       "      <td>3045</td>\n",
       "      <td>97.0</td>\n",
       "      <td>2022-07-31</td>\n",
       "      <td>CARRER DEL PROFESOR BELTRÁN BÁGUENA, 2, Valencia</td>\n",
       "      <td>46009</td>\n",
       "      <td>39.480357</td>\n",
       "      <td>-0.389011</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>9</th>\n",
       "      <td>SWEET HOTEL CONTINENTAL</td>\n",
       "      <td>Ciutat Vella, Valencia</td>\n",
       "      <td>8.1</td>\n",
       "      <td>3174</td>\n",
       "      <td>86.5</td>\n",
       "      <td>2022-07-31</td>\n",
       "      <td>CALLE DE CORREOS, 8, Valencia</td>\n",
       "      <td>46002</td>\n",
       "      <td>39.469706</td>\n",
       "      <td>-0.374548</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>10</th>\n",
       "      <td>EUROSTARS REY DON JAIME</td>\n",
       "      <td>Camins al Grau, Valencia</td>\n",
       "      <td>7.9</td>\n",
       "      <td>11638</td>\n",
       "      <td>127.0</td>\n",
       "      <td>2022-07-31</td>\n",
       "      <td>AVENIDA BALEARES, 2, Valencia</td>\n",
       "      <td>46023</td>\n",
       "      <td>39.463394</td>\n",
       "      <td>-0.356647</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>12</th>\n",
       "      <td>ZENIT VALENCIA</td>\n",
       "      <td>Extramurs, Valencia</td>\n",
       "      <td>8.6</td>\n",
       "      <td>1863</td>\n",
       "      <td>110.0</td>\n",
       "      <td>2022-07-31</td>\n",
       "      <td>CALLE DE BAILÉN, 8, LA ROQUETA, Valencia</td>\n",
       "      <td>46007</td>\n",
       "      <td>39.466768</td>\n",
       "      <td>-0.378080</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",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3954</th>\n",
       "      <td>SH SUITE PALACE</td>\n",
       "      <td>Ciutat Vella, Valencia</td>\n",
       "      <td>8.5</td>\n",
       "      <td>261</td>\n",
       "      <td>105.5</td>\n",
       "      <td>2022-11-13</td>\n",
       "      <td>PLAÇA DE MARGARITA VALLDAURA, 2, Valencia</td>\n",
       "      <td>46002</td>\n",
       "      <td>39.473334</td>\n",
       "      <td>-0.374854</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3955</th>\n",
       "      <td>LOTELITO</td>\n",
       "      <td>Ciutat Vella, Valencia</td>\n",
       "      <td>8.8</td>\n",
       "      <td>1299</td>\n",
       "      <td>228.0</td>\n",
       "      <td>2022-11-13</td>\n",
       "      <td>CALLE DE VIRUÉS, 6, Valencia</td>\n",
       "      <td>46002</td>\n",
       "      <td>39.470981</td>\n",
       "      <td>-0.374681</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3956</th>\n",
       "      <td>ORIGINAL DOMINO HOUSE</td>\n",
       "      <td>Camins al Grau, Valencia</td>\n",
       "      <td>8.7</td>\n",
       "      <td>725</td>\n",
       "      <td>102.0</td>\n",
       "      <td>2022-11-13</td>\n",
       "      <td>CALLE DE LAS ISLAS CANARIAS, 51, GRAO, Valencia</td>\n",
       "      <td>46023</td>\n",
       "      <td>39.461333</td>\n",
       "      <td>-0.338056</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3957</th>\n",
       "      <td>REINA 107 BEACH BOUTIQUE</td>\n",
       "      <td>Poblados marítimos, Valencia</td>\n",
       "      <td>8.7</td>\n",
       "      <td>393</td>\n",
       "      <td>349.0</td>\n",
       "      <td>2022-11-13</td>\n",
       "      <td>CARRER DE LA REINA, 107, Valencia</td>\n",
       "      <td>46011</td>\n",
       "      <td>39.468452</td>\n",
       "      <td>-0.328803</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3958</th>\n",
       "      <td>OTTOH CHARM STAY</td>\n",
       "      <td>Ciutat Vella, Valencia</td>\n",
       "      <td>8.9</td>\n",
       "      <td>845</td>\n",
       "      <td>394.0</td>\n",
       "      <td>2022-11-13</td>\n",
       "      <td>CARRER DEL SANTÍSSIM, 5, CIUDAD VIEJA, Valencia</td>\n",
       "      <td>46003</td>\n",
       "      <td>39.474660</td>\n",
       "      <td>-0.371470</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>3063 rows × 10 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "                        Nombre                      Distrito  Valoración  \\\n",
       "4           SWEET HOTEL RENASA     El Pla del Real, Valencia         8.1   \n",
       "6                  HOTEL TURIA            Campanar, Valencia         7.5   \n",
       "9      SWEET HOTEL CONTINENTAL        Ciutat Vella, Valencia         8.1   \n",
       "10     EUROSTARS REY DON JAIME      Camins al Grau, Valencia         7.9   \n",
       "12              ZENIT VALENCIA           Extramurs, Valencia         8.6   \n",
       "...                        ...                           ...         ...   \n",
       "3954           SH SUITE PALACE        Ciutat Vella, Valencia         8.5   \n",
       "3955                  LOTELITO        Ciutat Vella, Valencia         8.8   \n",
       "3956     ORIGINAL DOMINO HOUSE      Camins al Grau, Valencia         8.7   \n",
       "3957  REINA 107 BEACH BOUTIQUE  Poblados marítimos, Valencia         8.7   \n",
       "3958          OTTOH CHARM STAY        Ciutat Vella, Valencia         8.9   \n",
       "\n",
       "      Número de comentarios  Precio       Fecha  \\\n",
       "4                      3441    84.0  2022-07-31   \n",
       "6                      3045    97.0  2022-07-31   \n",
       "9                      3174    86.5  2022-07-31   \n",
       "10                    11638   127.0  2022-07-31   \n",
       "12                     1863   110.0  2022-07-31   \n",
       "...                     ...     ...         ...   \n",
       "3954                    261   105.5  2022-11-13   \n",
       "3955                   1299   228.0  2022-11-13   \n",
       "3956                    725   102.0  2022-11-13   \n",
       "3957                    393   349.0  2022-11-13   \n",
       "3958                    845   394.0  2022-11-13   \n",
       "\n",
       "                                              Dirección     CP        lat  \\\n",
       "4                     AVENIDA DE CATALUÑA, 5, Valencia   46010  39.480567   \n",
       "6     CARRER DEL PROFESOR BELTRÁN BÁGUENA, 2, Valencia   46009  39.480357   \n",
       "9                        CALLE DE CORREOS, 8, Valencia   46002  39.469706   \n",
       "10                       AVENIDA BALEARES, 2, Valencia   46023  39.463394   \n",
       "12            CALLE DE BAILÉN, 8, LA ROQUETA, Valencia   46007  39.466768   \n",
       "...                                                 ...    ...        ...   \n",
       "3954         PLAÇA DE MARGARITA VALLDAURA, 2, Valencia   46002  39.473334   \n",
       "3955                      CALLE DE VIRUÉS, 6, Valencia   46002  39.470981   \n",
       "3956   CALLE DE LAS ISLAS CANARIAS, 51, GRAO, Valencia   46023  39.461333   \n",
       "3957                 CARRER DE LA REINA, 107, Valencia   46011  39.468452   \n",
       "3958   CARRER DEL SANTÍSSIM, 5, CIUDAD VIEJA, Valencia   46003  39.474660   \n",
       "\n",
       "          long  \n",
       "4    -0.352960  \n",
       "6    -0.389011  \n",
       "9    -0.374548  \n",
       "10   -0.356647  \n",
       "12   -0.378080  \n",
       "...        ...  \n",
       "3954 -0.374854  \n",
       "3955 -0.374681  \n",
       "3956 -0.338056  \n",
       "3957 -0.328803  \n",
       "3958 -0.371470  \n",
       "\n",
       "[3063 rows x 10 columns]"
      ]
     },
     "execution_count": 18,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# Filtrar los hoteles cuyo precio es mayor a 80\n",
    "precios_hoteles[precios_hoteles['Precio'] > 80]\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 19,
   "id": "d5e6847b",
   "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>Nombre</th>\n",
       "      <th>Distrito</th>\n",
       "      <th>Valoración</th>\n",
       "      <th>Número de comentarios</th>\n",
       "      <th>Precio</th>\n",
       "      <th>Fecha</th>\n",
       "      <th>Dirección</th>\n",
       "      <th>CP</th>\n",
       "      <th>lat</th>\n",
       "      <th>long</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>981</th>\n",
       "      <td>PALACIO VALLIER 5*</td>\n",
       "      <td>Ciutat Vella, Valencia</td>\n",
       "      <td>9.5</td>\n",
       "      <td>836</td>\n",
       "      <td>221.0</td>\n",
       "      <td>2023-02-12</td>\n",
       "      <td>PLAZA DE MANISES, 7, Valencia</td>\n",
       "      <td>46003</td>\n",
       "      <td>39.476753</td>\n",
       "      <td>-0.376252</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3767</th>\n",
       "      <td>PALACIO VALLIER 5*</td>\n",
       "      <td>Ciutat Vella, Valencia</td>\n",
       "      <td>9.5</td>\n",
       "      <td>836</td>\n",
       "      <td>272.0</td>\n",
       "      <td>2022-10-30</td>\n",
       "      <td>PLAZA DE MANISES, 7, Valencia</td>\n",
       "      <td>46003</td>\n",
       "      <td>39.476753</td>\n",
       "      <td>-0.376252</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1182</th>\n",
       "      <td>PALACIO VALLIER 5*</td>\n",
       "      <td>Ciutat Vella, Valencia</td>\n",
       "      <td>9.5</td>\n",
       "      <td>836</td>\n",
       "      <td>249.5</td>\n",
       "      <td>2022-11-27</td>\n",
       "      <td>PLAZA DE MANISES, 7, Valencia</td>\n",
       "      <td>46003</td>\n",
       "      <td>39.476753</td>\n",
       "      <td>-0.376252</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3661</th>\n",
       "      <td>PALACIO VALLIER 5*</td>\n",
       "      <td>Ciutat Vella, Valencia</td>\n",
       "      <td>9.5</td>\n",
       "      <td>832</td>\n",
       "      <td>374.0</td>\n",
       "      <td>2022-06-26</td>\n",
       "      <td>PLAZA DE MANISES, 7, Valencia</td>\n",
       "      <td>46003</td>\n",
       "      <td>39.476753</td>\n",
       "      <td>-0.376252</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>337</th>\n",
       "      <td>PALACIO VALLIER 5*</td>\n",
       "      <td>Ciutat Vella, Valencia</td>\n",
       "      <td>9.5</td>\n",
       "      <td>836</td>\n",
       "      <td>221.0</td>\n",
       "      <td>2022-12-18</td>\n",
       "      <td>PLAZA DE MANISES, 7, Valencia</td>\n",
       "      <td>46003</td>\n",
       "      <td>39.476753</td>\n",
       "      <td>-0.376252</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2049</th>\n",
       "      <td>PALACIO VALLIER 5*</td>\n",
       "      <td>Ciutat Vella, Valencia</td>\n",
       "      <td>9.5</td>\n",
       "      <td>832</td>\n",
       "      <td>252.5</td>\n",
       "      <td>2022-07-17</td>\n",
       "      <td>PLAZA DE MANISES, 7, Valencia</td>\n",
       "      <td>46003</td>\n",
       "      <td>39.476753</td>\n",
       "      <td>-0.376252</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3607</th>\n",
       "      <td>PALACIO VALLIER 5*</td>\n",
       "      <td>Ciutat Vella, Valencia</td>\n",
       "      <td>9.5</td>\n",
       "      <td>836</td>\n",
       "      <td>374.0</td>\n",
       "      <td>2022-12-04</td>\n",
       "      <td>PLAZA DE MANISES, 7, Valencia</td>\n",
       "      <td>46003</td>\n",
       "      <td>39.476753</td>\n",
       "      <td>-0.376252</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>150</th>\n",
       "      <td>PALACIO VALLIER 5*</td>\n",
       "      <td>Ciutat Vella, Valencia</td>\n",
       "      <td>9.5</td>\n",
       "      <td>796</td>\n",
       "      <td>707.5</td>\n",
       "      <td>2022-06-19</td>\n",
       "      <td>PLAZA DE MANISES, 7, Valencia</td>\n",
       "      <td>46003</td>\n",
       "      <td>39.476753</td>\n",
       "      <td>-0.376252</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2430</th>\n",
       "      <td>PALACIO VALLIER 5*</td>\n",
       "      <td>Ciutat Vella, Valencia</td>\n",
       "      <td>9.5</td>\n",
       "      <td>836</td>\n",
       "      <td>266.5</td>\n",
       "      <td>2022-09-18</td>\n",
       "      <td>PLAZA DE MANISES, 7, Valencia</td>\n",
       "      <td>46003</td>\n",
       "      <td>39.476753</td>\n",
       "      <td>-0.376252</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3041</th>\n",
       "      <td>PALACIO VALLIER 5*</td>\n",
       "      <td>Ciutat Vella, Valencia</td>\n",
       "      <td>9.5</td>\n",
       "      <td>836</td>\n",
       "      <td>275.0</td>\n",
       "      <td>2022-09-11</td>\n",
       "      <td>PLAZA DE MANISES, 7, Valencia</td>\n",
       "      <td>46003</td>\n",
       "      <td>39.476753</td>\n",
       "      <td>-0.376252</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "                  Nombre                Distrito  Valoración  \\\n",
       "981   PALACIO VALLIER 5*  Ciutat Vella, Valencia         9.5   \n",
       "3767  PALACIO VALLIER 5*  Ciutat Vella, Valencia         9.5   \n",
       "1182  PALACIO VALLIER 5*  Ciutat Vella, Valencia         9.5   \n",
       "3661  PALACIO VALLIER 5*  Ciutat Vella, Valencia         9.5   \n",
       "337   PALACIO VALLIER 5*  Ciutat Vella, Valencia         9.5   \n",
       "2049  PALACIO VALLIER 5*  Ciutat Vella, Valencia         9.5   \n",
       "3607  PALACIO VALLIER 5*  Ciutat Vella, Valencia         9.5   \n",
       "150   PALACIO VALLIER 5*  Ciutat Vella, Valencia         9.5   \n",
       "2430  PALACIO VALLIER 5*  Ciutat Vella, Valencia         9.5   \n",
       "3041  PALACIO VALLIER 5*  Ciutat Vella, Valencia         9.5   \n",
       "\n",
       "      Número de comentarios  Precio       Fecha  \\\n",
       "981                     836   221.0  2023-02-12   \n",
       "3767                    836   272.0  2022-10-30   \n",
       "1182                    836   249.5  2022-11-27   \n",
       "3661                    832   374.0  2022-06-26   \n",
       "337                     836   221.0  2022-12-18   \n",
       "2049                    832   252.5  2022-07-17   \n",
       "3607                    836   374.0  2022-12-04   \n",
       "150                     796   707.5  2022-06-19   \n",
       "2430                    836   266.5  2022-09-18   \n",
       "3041                    836   275.0  2022-09-11   \n",
       "\n",
       "                           Dirección     CP        lat      long  \n",
       "981   PLAZA DE MANISES, 7, Valencia   46003  39.476753 -0.376252  \n",
       "3767  PLAZA DE MANISES, 7, Valencia   46003  39.476753 -0.376252  \n",
       "1182  PLAZA DE MANISES, 7, Valencia   46003  39.476753 -0.376252  \n",
       "3661  PLAZA DE MANISES, 7, Valencia   46003  39.476753 -0.376252  \n",
       "337   PLAZA DE MANISES, 7, Valencia   46003  39.476753 -0.376252  \n",
       "2049  PLAZA DE MANISES, 7, Valencia   46003  39.476753 -0.376252  \n",
       "3607  PLAZA DE MANISES, 7, Valencia   46003  39.476753 -0.376252  \n",
       "150   PLAZA DE MANISES, 7, Valencia   46003  39.476753 -0.376252  \n",
       "2430  PLAZA DE MANISES, 7, Valencia   46003  39.476753 -0.376252  \n",
       "3041  PLAZA DE MANISES, 7, Valencia   46003  39.476753 -0.376252  "
      ]
     },
     "execution_count": 19,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# Ordenar los hoteles por valoración en orden descendente y obtener los primeros 10 hoteles\n",
    "precios_hoteles.sort_values(by='Valoración', ascending=False).head(10)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "id": "0a810e6e",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "# Agrupar los datos por distrito y calcular la suma de los precios por distrito\n",
    "precios_por_distrito = precios_hoteles.groupby('Distrito')['Precio'].sum()\n",
    "\n",
    "# Crear un diagrama de sectores con los datos agrupados por distrito\n",
    "precios_por_distrito.plot.pie(autopct='%.1f%%')\n",
    "\n",
    "# Mostrar el gráfico\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "id": "831e846b",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "# Agrupar los datos por distrito y calcular el promedio de las valoraciones por distrito\n",
    "valoraciones_por_distrito = precios_hoteles.groupby('Distrito')['Valoración'].mean()\n",
    "\n",
    "# Crear un diagrama de sectores con los datos agrupados por distrito\n",
    "valoraciones_por_distrito.plot.pie(autopct='%.1f%%')\n",
    "\n",
    "# Mostrar el gráfico\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "id": "26d2aa84",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "# Agrupar los datos por distrito y calcular el número de hoteles por distrito\n",
    "hoteles_por_distrito = precios_hoteles.groupby('Distrito')['Nombre'].count()\n",
    "\n",
    "# Crear un diagrama de sectores con los datos agrupados por distrito\n",
    "hoteles_por_distrito.plot.pie(autopct='%.1f%%')\n",
    "\n",
    "# Mostrar el gráfico\n",
    "plt.show()\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "df3c0299",
   "metadata": {},
   "outputs": [],
   "source": []
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "76a4c3a2",
   "metadata": {},
   "outputs": [],
   "source": []
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "31b68a14",
   "metadata": {},
   "outputs": [],
   "source": []
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "3ac13a3c",
   "metadata": {},
   "outputs": [],
   "source": []
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "0276fae8",
   "metadata": {},
   "outputs": [],
   "source": []
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "dfccd8f3",
   "metadata": {},
   "outputs": [],
   "source": []
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "2557a0e7",
   "metadata": {},
   "outputs": [],
   "source": []
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "ad2c47fd",
   "metadata": {},
   "outputs": [],
   "source": []
  }
 ],
 "metadata": {
  "kernelspec": {
   "display_name": "Python 3 (ipykernel)",
   "language": "python",
   "name": "python3"
  },
  "language_info": {
   "codemirror_mode": {
    "name": "ipython",
    "version": 3
   },
   "file_extension": ".py",
   "mimetype": "text/x-python",
   "name": "python",
   "nbconvert_exporter": "python",
   "pygments_lexer": "ipython3",
   "version": "3.10.9"
  },
  "vscode": {
   "interpreter": {
    "hash": "cee9bf6c99e1b112f4ddc55fa9c4826d0cf732624e65774bfbedd6b02e6f70da"
   }
  }
 },
 "nbformat": 4,
 "nbformat_minor": 5
}