Group 4 Data Similarity-Data Science Exam (1) (1).ipynb

{
 "cells": [
  {
   "cell_type": "markdown",
   "id": "87c47a18",
   "metadata": {},
   "source": [
    "# Content-based recommender system\n",
    "\n",
    "## Europe Top 10 Attractions\n",
    "\n",
    "### This notebook uses the EuropeTop100Attractions_ENG_20190101_20210821 dataset\n",
    "Content-based recommendations systems recommend atractions that are similar to atractions previously visited by other customers. The models used in content-based recommender systems identify common features across user preferences based on the historical choices data of the user.\n",
    "\n",
    "Develop a system to recommend attractions that similar users visited. For example, based on previous visits from all users, recommend an attraction to go together with a another attraction.\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 1,
   "id": "6526d687",
   "metadata": {},
   "outputs": [],
   "source": [
    "# Packages\n",
    "import os\n",
    "import numpy as np\n",
    "import pandas as pd\n",
    "import openpyxl\n",
    "import re\n",
    "from sklearn.metrics import pairwise \n",
    "import matplotlib.pyplot as plt\n",
    "import seaborn as sns"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "id": "f2970e0d",
   "metadata": {},
   "outputs": [],
   "source": [
    "# Distances functions\n",
    "from sklearn.metrics import pairwise_distances"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "id": "b0a77943",
   "metadata": {},
   "outputs": [],
   "source": [
    "# Global definitions\n",
    "baseFolder = os.getcwd()\n",
    "exportsFolder = baseFolder + os.sep +'Exports' + os.sep"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "id": "73f22ab6",
   "metadata": {},
   "outputs": [],
   "source": [
    "subPlots_Title_fontSize = 12\n",
    "subPlots_xAxis_fontSize = 10\n",
    "subPlots_yAxis_fontSize = 10\n",
    "subPlots_label_fontSize = 10\n",
    "heatmaps_text_fontSize = 8\n",
    "\n",
    "plots_Title_fontSize = 14\n",
    "plots_Title_textColour = 'black'\n",
    "\n",
    "plots_Legend_fontSize = 12\n",
    "plots_Legend_textColour = 'black'"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "id": "8a88b6c8",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "<class 'pandas.core.frame.DataFrame'>\n",
      "RangeIndex: 92120 entries, 0 to 92119\n",
      "Data columns (total 15 columns):\n",
      " #   Column             Non-Null Count  Dtype         \n",
      "---  ------             --------------  -----         \n",
      " 0   localID            92120 non-null  object        \n",
      " 1   extractionDate     92120 non-null  datetime64[ns]\n",
      " 2   globalRating       92120 non-null  float64       \n",
      " 3   positionOnRanking  92120 non-null  int64         \n",
      " 4   sitesOnRanking     92120 non-null  int64         \n",
      " 5   totalReviews       92120 non-null  int64         \n",
      " 6   userName           92100 non-null  object        \n",
      " 7   userLocation       78652 non-null  object        \n",
      " 8   userContributions  92120 non-null  int64         \n",
      " 9   tripType           63052 non-null  object        \n",
      " 10  reviewWritten      92120 non-null  datetime64[ns]\n",
      " 11  reviewVisited      91410 non-null  datetime64[ns]\n",
      " 12  reviewRating       92120 non-null  int64         \n",
      " 13  reviewLanguage     92120 non-null  object        \n",
      " 14  reviewFullText     92120 non-null  object        \n",
      "dtypes: datetime64[ns](3), float64(1), int64(5), object(6)\n",
      "memory usage: 10.5+ MB\n"
     ]
    }
   ],
   "source": [
    "# Load data \n",
    "ds = pd.read_excel('EuropeTop100Attractions_ENG_20190101_20210821.xlsx', engine='openpyxl')\n",
    "ds.info()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "id": "a45e11c4",
   "metadata": {},
   "outputs": [],
   "source": [
    "# Reformat variable types\n",
    "cols = ['localID','userName','userLocation','tripType','reviewLanguage','reviewFullText']\n",
    "ds[cols] = ds[cols].astype(str)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "id": "8459b9c1",
   "metadata": {},
   "outputs": [
    {
     "data": {
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       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>count</th>\n",
       "      <th>unique</th>\n",
       "      <th>top</th>\n",
       "      <th>freq</th>\n",
       "      <th>mean</th>\n",
       "      <th>min</th>\n",
       "      <th>25%</th>\n",
       "      <th>50%</th>\n",
       "      <th>75%</th>\n",
       "      <th>max</th>\n",
       "      <th>std</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>localID</th>\n",
       "      <td>92120</td>\n",
       "      <td>100</td>\n",
       "      <td>MAG001</td>\n",
       "      <td>8309</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
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       "    <tr>\n",
       "      <th>extractionDate</th>\n",
       "      <td>92120</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>2021-08-20 22:09:20.598932992</td>\n",
       "      <td>2021-08-20 08:24:40.077000</td>\n",
       "      <td>2021-08-20 12:08:10.831000064</td>\n",
       "      <td>2021-08-20 15:46:58.171000064</td>\n",
       "      <td>2021-08-21 12:35:39.817250048</td>\n",
       "      <td>2021-08-21 16:27:17.026000</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>globalRating</th>\n",
       "      <td>92120.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>4.485166</td>\n",
       "      <td>4.0</td>\n",
       "      <td>4.5</td>\n",
       "      <td>4.5</td>\n",
       "      <td>4.5</td>\n",
       "      <td>5.0</td>\n",
       "      <td>0.178085</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>positionOnRanking</th>\n",
       "      <td>92120.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>3.91459</td>\n",
       "      <td>1.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>2.0</td>\n",
       "      <td>6.0</td>\n",
       "      <td>55.0</td>\n",
       "      <td>4.843013</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>sitesOnRanking</th>\n",
       "      <td>92120.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>748.263537</td>\n",
       "      <td>5.0</td>\n",
       "      <td>154.0</td>\n",
       "      <td>484.0</td>\n",
       "      <td>1186.0</td>\n",
       "      <td>3837.0</td>\n",
       "      <td>802.742304</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>totalReviews</th>\n",
       "      <td>92120.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>40556.601813</td>\n",
       "      <td>5179.0</td>\n",
       "      <td>14152.0</td>\n",
       "      <td>24454.0</td>\n",
       "      <td>51324.0</td>\n",
       "      <td>163828.0</td>\n",
       "      <td>42914.381014</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>userName</th>\n",
       "      <td>92120</td>\n",
       "      <td>65786</td>\n",
       "      <td>Malgorzata@Margo7850p</td>\n",
       "      <td>31</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>userLocation</th>\n",
       "      <td>92120</td>\n",
       "      <td>12614</td>\n",
       "      <td>nan</td>\n",
       "      <td>13468</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>userContributions</th>\n",
       "      <td>92120.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>477.52056</td>\n",
       "      <td>0.0</td>\n",
       "      <td>20.0</td>\n",
       "      <td>66.0</td>\n",
       "      <td>215.0</td>\n",
       "      <td>607732.0</td>\n",
       "      <td>7270.518677</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>tripType</th>\n",
       "      <td>92120</td>\n",
       "      <td>6</td>\n",
       "      <td>Couples</td>\n",
       "      <td>31702</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>reviewWritten</th>\n",
       "      <td>92120</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>2019-09-02 16:05:57.967868160</td>\n",
       "      <td>2019-01-01 00:00:00</td>\n",
       "      <td>2019-05-11 00:00:00</td>\n",
       "      <td>2019-08-07 00:00:00</td>\n",
       "      <td>2019-11-05 00:00:00</td>\n",
       "      <td>2021-08-21 00:00:00</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>reviewVisited</th>\n",
       "      <td>91410</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>2019-07-19 02:09:01.122415104</td>\n",
       "      <td>2015-10-01 00:00:00</td>\n",
       "      <td>2019-04-01 00:00:00</td>\n",
       "      <td>2019-07-01 00:00:00</td>\n",
       "      <td>2019-10-01 00:00:00</td>\n",
       "      <td>2021-08-01 00:00:00</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>reviewRating</th>\n",
       "      <td>92120.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>4.578658</td>\n",
       "      <td>1.0</td>\n",
       "      <td>4.0</td>\n",
       "      <td>5.0</td>\n",
       "      <td>5.0</td>\n",
       "      <td>5.0</td>\n",
       "      <td>0.792693</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>reviewLanguage</th>\n",
       "      <td>92120</td>\n",
       "      <td>1</td>\n",
       "      <td>en</td>\n",
       "      <td>92120</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>reviewFullText</th>\n",
       "      <td>92120</td>\n",
       "      <td>85088</td>\n",
       "      <td>Is a nice place to visit when you visit Barcel...</td>\n",
       "      <td>3</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "                     count unique  \\\n",
       "localID              92120    100   \n",
       "extractionDate       92120    NaN   \n",
       "globalRating       92120.0    NaN   \n",
       "positionOnRanking  92120.0    NaN   \n",
       "sitesOnRanking     92120.0    NaN   \n",
       "totalReviews       92120.0    NaN   \n",
       "userName             92120  65786   \n",
       "userLocation         92120  12614   \n",
       "userContributions  92120.0    NaN   \n",
       "tripType             92120      6   \n",
       "reviewWritten        92120    NaN   \n",
       "reviewVisited        91410    NaN   \n",
       "reviewRating       92120.0    NaN   \n",
       "reviewLanguage       92120      1   \n",
       "reviewFullText       92120  85088   \n",
       "\n",
       "                                                                 top   freq  \\\n",
       "localID                                                       MAG001   8309   \n",
       "extractionDate                                                   NaN    NaN   \n",
       "globalRating                                                     NaN    NaN   \n",
       "positionOnRanking                                                NaN    NaN   \n",
       "sitesOnRanking                                                   NaN    NaN   \n",
       "totalReviews                                                     NaN    NaN   \n",
       "userName                                       Malgorzata@Margo7850p     31   \n",
       "userLocation                                                     nan  13468   \n",
       "userContributions                                                NaN    NaN   \n",
       "tripType                                                     Couples  31702   \n",
       "reviewWritten                                                    NaN    NaN   \n",
       "reviewVisited                                                    NaN    NaN   \n",
       "reviewRating                                                     NaN    NaN   \n",
       "reviewLanguage                                                    en  92120   \n",
       "reviewFullText     Is a nice place to visit when you visit Barcel...      3   \n",
       "\n",
       "                                            mean                         min  \\\n",
       "localID                                      NaN                         NaN   \n",
       "extractionDate     2021-08-20 22:09:20.598932992  2021-08-20 08:24:40.077000   \n",
       "globalRating                            4.485166                         4.0   \n",
       "positionOnRanking                        3.91459                         1.0   \n",
       "sitesOnRanking                        748.263537                         5.0   \n",
       "totalReviews                        40556.601813                      5179.0   \n",
       "userName                                     NaN                         NaN   \n",
       "userLocation                                 NaN                         NaN   \n",
       "userContributions                      477.52056                         0.0   \n",
       "tripType                                     NaN                         NaN   \n",
       "reviewWritten      2019-09-02 16:05:57.967868160         2019-01-01 00:00:00   \n",
       "reviewVisited      2019-07-19 02:09:01.122415104         2015-10-01 00:00:00   \n",
       "reviewRating                            4.578658                         1.0   \n",
       "reviewLanguage                               NaN                         NaN   \n",
       "reviewFullText                               NaN                         NaN   \n",
       "\n",
       "                                             25%  \\\n",
       "localID                                      NaN   \n",
       "extractionDate     2021-08-20 12:08:10.831000064   \n",
       "globalRating                                 4.5   \n",
       "positionOnRanking                            1.0   \n",
       "sitesOnRanking                             154.0   \n",
       "totalReviews                             14152.0   \n",
       "userName                                     NaN   \n",
       "userLocation                                 NaN   \n",
       "userContributions                           20.0   \n",
       "tripType                                     NaN   \n",
       "reviewWritten                2019-05-11 00:00:00   \n",
       "reviewVisited                2019-04-01 00:00:00   \n",
       "reviewRating                                 4.0   \n",
       "reviewLanguage                               NaN   \n",
       "reviewFullText                               NaN   \n",
       "\n",
       "                                             50%  \\\n",
       "localID                                      NaN   \n",
       "extractionDate     2021-08-20 15:46:58.171000064   \n",
       "globalRating                                 4.5   \n",
       "positionOnRanking                            2.0   \n",
       "sitesOnRanking                             484.0   \n",
       "totalReviews                             24454.0   \n",
       "userName                                     NaN   \n",
       "userLocation                                 NaN   \n",
       "userContributions                           66.0   \n",
       "tripType                                     NaN   \n",
       "reviewWritten                2019-08-07 00:00:00   \n",
       "reviewVisited                2019-07-01 00:00:00   \n",
       "reviewRating                                 5.0   \n",
       "reviewLanguage                               NaN   \n",
       "reviewFullText                               NaN   \n",
       "\n",
       "                                             75%                         max  \\\n",
       "localID                                      NaN                         NaN   \n",
       "extractionDate     2021-08-21 12:35:39.817250048  2021-08-21 16:27:17.026000   \n",
       "globalRating                                 4.5                         5.0   \n",
       "positionOnRanking                            6.0                        55.0   \n",
       "sitesOnRanking                            1186.0                      3837.0   \n",
       "totalReviews                             51324.0                    163828.0   \n",
       "userName                                     NaN                         NaN   \n",
       "userLocation                                 NaN                         NaN   \n",
       "userContributions                          215.0                    607732.0   \n",
       "tripType                                     NaN                         NaN   \n",
       "reviewWritten                2019-11-05 00:00:00         2021-08-21 00:00:00   \n",
       "reviewVisited                2019-10-01 00:00:00         2021-08-01 00:00:00   \n",
       "reviewRating                                 5.0                         5.0   \n",
       "reviewLanguage                               NaN                         NaN   \n",
       "reviewFullText                               NaN                         NaN   \n",
       "\n",
       "                            std  \n",
       "localID                     NaN  \n",
       "extractionDate              NaN  \n",
       "globalRating           0.178085  \n",
       "positionOnRanking      4.843013  \n",
       "sitesOnRanking       802.742304  \n",
       "totalReviews       42914.381014  \n",
       "userName                    NaN  \n",
       "userLocation                NaN  \n",
       "userContributions   7270.518677  \n",
       "tripType                    NaN  \n",
       "reviewWritten               NaN  \n",
       "reviewVisited               NaN  \n",
       "reviewRating           0.792693  \n",
       "reviewLanguage              NaN  \n",
       "reviewFullText              NaN  "
      ]
     },
     "execution_count": 7,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# Summary statistics for all variables\n",
    "ds.describe(include='all', datetime_is_numeric=True).T"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "id": "3ebc5618",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "Malgorzata@Margo7850p                    31\n",
       "KodoDrummer@KodoDrummer                  24\n",
       "nan                                      20\n",
       "Michele Amico🇮🇹🇮🇹🇮🇹🇮🇹@micheleaQ8239JH    19\n",
       "Dimitris L@750dimitrisl                  17\n",
       "                                         ..\n",
       "Mogoshadi S@mogoshadis                    1\n",
       "Crystal Chris@CrystalPistol007            1\n",
       "Grantley@GrantleyMorgan                   1\n",
       "Burnsfun@Burnsfun                         1\n",
       "czlido@czlido                             1\n",
       "Name: userName, Length: 65786, dtype: int64"
      ]
     },
     "execution_count": 8,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# Check products cardinality\n",
    "usernameCount = ds['userName'].value_counts()\n",
    "usernameCount"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 9,
   "id": "fe9c53cd",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "nan                        13468\n",
       "London, UK                  3710\n",
       "Melbourne, Australia         773\n",
       "Sydney, Australia            736\n",
       "New York City, NY            699\n",
       "                           ...  \n",
       "Teresopolis, RJ                1\n",
       "Pittsworth, Australia          1\n",
       "Scone, Australia               1\n",
       "Berea, OH                      1\n",
       "Elburg, The Netherlands        1\n",
       "Name: userLocation, Length: 12614, dtype: int64"
      ]
     },
     "execution_count": 9,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# Check products cardinality\n",
    "userlocationCount = ds['userLocation'].value_counts()\n",
    "userlocationCount"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 10,
   "id": "9a99afad",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "Couples     31702\n",
       "nan         29068\n",
       "Family      13596\n",
       "Friends     11759\n",
       "Solo         5127\n",
       "Business      868\n",
       "Name: tripType, dtype: int64"
      ]
     },
     "execution_count": 10,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# Check products cardinality\n",
    "tripTypeCount = ds['tripType'].value_counts()\n",
    "tripTypeCount"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "dc189e71",
   "metadata": {},
   "source": [
    "## Data Preparation"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 11,
   "id": "321c2fc9",
   "metadata": {},
   "outputs": [],
   "source": [
    "#identify duplicate rows\n",
    "duplicateRows = ds[ds.duplicated()]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 12,
   "id": "d27ff1f6",
   "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>localID</th>\n",
       "      <th>extractionDate</th>\n",
       "      <th>globalRating</th>\n",
       "      <th>positionOnRanking</th>\n",
       "      <th>sitesOnRanking</th>\n",
       "      <th>totalReviews</th>\n",
       "      <th>userName</th>\n",
       "      <th>userLocation</th>\n",
       "      <th>userContributions</th>\n",
       "      <th>tripType</th>\n",
       "      <th>reviewWritten</th>\n",
       "      <th>reviewVisited</th>\n",
       "      <th>reviewRating</th>\n",
       "      <th>reviewLanguage</th>\n",
       "      <th>reviewFullText</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "Empty DataFrame\n",
       "Columns: [localID, extractionDate, globalRating, positionOnRanking, sitesOnRanking, totalReviews, userName, userLocation, userContributions, tripType, reviewWritten, reviewVisited, reviewRating, reviewLanguage, reviewFullText]\n",
       "Index: []"
      ]
     },
     "execution_count": 12,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "#view duplicate rows\n",
    "duplicateRows"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 13,
   "id": "a5741776",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "1     38547\n",
       "2     12821\n",
       "3     11549\n",
       "7      7026\n",
       "8      5668\n",
       "11     2885\n",
       "4      2834\n",
       "10     2362\n",
       "6      2282\n",
       "5      2223\n",
       "12     1097\n",
       "24      806\n",
       "9       710\n",
       "31      595\n",
       "16      312\n",
       "19      243\n",
       "55      160\n",
       "Name: positionOnRanking, dtype: int64"
      ]
     },
     "execution_count": 13,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "## figuring out if we can remove the outliers\n",
    "ds['positionOnRanking'].value_counts()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 14,
   "id": "2b9efdef",
   "metadata": {},
   "outputs": [],
   "source": [
    "# removing rows from position on ranking \n",
    "ds =ds[ds['positionOnRanking']<=12]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 15,
   "id": "98aba921",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "1     38547\n",
       "2     12821\n",
       "3     11549\n",
       "7      7026\n",
       "8      5668\n",
       "11     2885\n",
       "4      2834\n",
       "10     2362\n",
       "6      2282\n",
       "5      2223\n",
       "12     1097\n",
       "9       710\n",
       "Name: positionOnRanking, dtype: int64"
      ]
     },
     "execution_count": 15,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "ds['positionOnRanking'].value_counts()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 16,
   "id": "2105581e",
   "metadata": {},
   "outputs": [],
   "source": [
    "# checking for missing data,  creating bool series for missing data\n",
    "bool_series = pd.isnull(ds['userLocation'])"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 17,
   "id": "fc76dc15",
   "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>localID</th>\n",
       "      <th>extractionDate</th>\n",
       "      <th>globalRating</th>\n",
       "      <th>positionOnRanking</th>\n",
       "      <th>sitesOnRanking</th>\n",
       "      <th>totalReviews</th>\n",
       "      <th>userName</th>\n",
       "      <th>userLocation</th>\n",
       "      <th>userContributions</th>\n",
       "      <th>tripType</th>\n",
       "      <th>reviewWritten</th>\n",
       "      <th>reviewVisited</th>\n",
       "      <th>reviewRating</th>\n",
       "      <th>reviewLanguage</th>\n",
       "      <th>reviewFullText</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "Empty DataFrame\n",
       "Columns: [localID, extractionDate, globalRating, positionOnRanking, sitesOnRanking, totalReviews, userName, userLocation, userContributions, tripType, reviewWritten, reviewVisited, reviewRating, reviewLanguage, reviewFullText]\n",
       "Index: []"
      ]
     },
     "execution_count": 17,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# filtering data\n",
    "# displaying data only with location = NaN\n",
    "ds[bool_series]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 18,
   "id": "c9292022",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "      localID          extractionDate  globalRating  positionOnRanking  \\\n",
      "0      MAG001 2021-08-20 08:24:40.077           4.5                  1   \n",
      "1      MAG001 2021-08-20 08:24:40.097           4.5                  1   \n",
      "2      MAG001 2021-08-20 08:24:40.117           4.5                  1   \n",
      "3      MAG001 2021-08-20 08:24:40.147           4.5                  1   \n",
      "4      MAG001 2021-08-20 08:24:40.159           4.5                  1   \n",
      "...       ...                     ...           ...                ...   \n",
      "92115  MAG100 2021-08-21 16:27:11.795           4.5                 11   \n",
      "92116  MAG100 2021-08-21 16:27:11.893           4.5                 11   \n",
      "92117  MAG100 2021-08-21 16:27:11.993           4.5                 11   \n",
      "92118  MAG100 2021-08-21 16:27:12.086           4.5                 11   \n",
      "92119  MAG100 2021-08-21 16:27:17.026           4.5                 11   \n",
      "\n",
      "       sitesOnRanking  totalReviews                   userName  \\\n",
      "0                1186        163828      Maurice M@MauriceM171   \n",
      "1                1186        163828        nickchamb@nickchamb   \n",
      "2                1186        163828   Arthur Villon@arthur4588   \n",
      "3                1186        163828          James U@696jamesu   \n",
      "4                1186        163828      Kamal K Sirra@Sirra63   \n",
      "...               ...           ...                        ...   \n",
      "92115             677          5179              David M@DTM56   \n",
      "92116             677          5179  robert_bos53@robert_bos53   \n",
      "92117             677          5179        Mmarymomm@Mmarymomm   \n",
      "92118             677          5179    KateJourney@KateJourney   \n",
      "92119             677          5179              czlido@czlido   \n",
      "\n",
      "              userLocation  userContributions tripType reviewWritten  \\\n",
      "0         Indianapolis, IN                 29  Couples    2021-08-18   \n",
      "1          Bandon, Ireland                  7  Couples    2021-08-17   \n",
      "2          Valencia, Spain                268  Friends    2021-08-16   \n",
      "3                      nan                  7      nan    2021-08-16   \n",
      "4            Madrid, Spain                516   Family    2021-08-15   \n",
      "...                    ...                ...      ...           ...   \n",
      "92115        Cambridge, UK               2055  Couples    2019-03-04   \n",
      "92116  Geneva, Switzerland               1802  Friends    2019-02-25   \n",
      "92117       Pleasanton, CA               1738  Couples    2019-02-14   \n",
      "92118       Exeter, Canada                185      nan    2019-02-12   \n",
      "92119         Cape Cod, MA                 14     Solo    2019-01-16   \n",
      "\n",
      "      reviewVisited  reviewRating reviewLanguage  \\\n",
      "0        2021-08-01             5             en   \n",
      "1        2021-03-01             5             en   \n",
      "2        2021-08-01             5             en   \n",
      "3        2021-07-01             5             en   \n",
      "4        2021-07-01             4             en   \n",
      "...             ...           ...            ...   \n",
      "92115    2019-02-01             5             en   \n",
      "92116    2019-02-01             5             en   \n",
      "92117    2018-12-01             5             en   \n",
      "92118    2018-11-01             4             en   \n",
      "92119    2018-12-01             5             en   \n",
      "\n",
      "                                          reviewFullText  \n",
      "0      Absolutely breathtaking use of light, an amazi...  \n",
      "1      A really interesting and beautiful place to vi...  \n",
      "2      Beautiful place and must visit place in barcel...  \n",
      "3      A MUST when visiting Barcelkona.  It is consta...  \n",
      "4      I visited about 20 years ago and there has bee...  \n",
      "...                                                  ...  \n",
      "92115  A lovely old rambling centre with no logical l...  \n",
      "92116  A one day visit from Rome in February: the his...  \n",
      "92117  Is there a more beautiful, historical, and art...  \n",
      "92118  It is an ironic twist to see all of the modern...  \n",
      "92119  The area around Lungarno Vespucci, better know...  \n",
      "\n",
      "[90004 rows x 15 columns]\n"
     ]
    }
   ],
   "source": [
    "#Use the modal value to replace missing data in userLocation\n",
    "ds['userLocation'].replace([np.nan], ds['userLocation'].mode()[0], inplace=True)\n",
    "print(ds)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 19,
   "id": "1370d81e",
   "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>localID</th>\n",
       "      <th>extractionDate</th>\n",
       "      <th>globalRating</th>\n",
       "      <th>positionOnRanking</th>\n",
       "      <th>sitesOnRanking</th>\n",
       "      <th>totalReviews</th>\n",
       "      <th>userName</th>\n",
       "      <th>userLocation</th>\n",
       "      <th>userContributions</th>\n",
       "      <th>tripType</th>\n",
       "      <th>reviewWritten</th>\n",
       "      <th>reviewVisited</th>\n",
       "      <th>reviewRating</th>\n",
       "      <th>reviewLanguage</th>\n",
       "      <th>reviewFullText</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "Empty DataFrame\n",
       "Columns: [localID, extractionDate, globalRating, positionOnRanking, sitesOnRanking, totalReviews, userName, userLocation, userContributions, tripType, reviewWritten, reviewVisited, reviewRating, reviewLanguage, reviewFullText]\n",
       "Index: []"
      ]
     },
     "execution_count": 19,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# display data where location previously = NaN\n",
    "ds[bool_series]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 20,
   "id": "ead904b2",
   "metadata": {},
   "outputs": [],
   "source": [
    "# checking for missing data review visited,  creating bool series for missing data\n",
    "dv_series = pd.isnull(ds['reviewVisited'])"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 21,
   "id": "1f1f649c",
   "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>localID</th>\n",
       "      <th>extractionDate</th>\n",
       "      <th>globalRating</th>\n",
       "      <th>positionOnRanking</th>\n",
       "      <th>sitesOnRanking</th>\n",
       "      <th>totalReviews</th>\n",
       "      <th>userName</th>\n",
       "      <th>userLocation</th>\n",
       "      <th>userContributions</th>\n",
       "      <th>tripType</th>\n",
       "      <th>reviewWritten</th>\n",
       "      <th>reviewVisited</th>\n",
       "      <th>reviewRating</th>\n",
       "      <th>reviewLanguage</th>\n",
       "      <th>reviewFullText</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>78</th>\n",
       "      <td>MAG001</td>\n",
       "      <td>2021-08-20 08:25:18.941</td>\n",
       "      <td>4.5</td>\n",
       "      <td>1</td>\n",
       "      <td>1186</td>\n",
       "      <td>163828</td>\n",
       "      <td>thomas@thomasphunos</td>\n",
       "      <td>Manchester, UK</td>\n",
       "      <td>1</td>\n",
       "      <td>nan</td>\n",
       "      <td>2020-09-25</td>\n",
       "      <td>NaT</td>\n",
       "      <td>4</td>\n",
       "      <td>en</td>\n",
       "      <td>Amazing place , now a days it was not very qui...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>624</th>\n",
       "      <td>MAG001</td>\n",
       "      <td>2021-08-20 08:30:40.273</td>\n",
       "      <td>4.5</td>\n",
       "      <td>1</td>\n",
       "      <td>1186</td>\n",
       "      <td>163828</td>\n",
       "      <td>Paolo616616@Paolo616616</td>\n",
       "      <td>Prague, Czech Republic</td>\n",
       "      <td>284</td>\n",
       "      <td>nan</td>\n",
       "      <td>2020-02-03</td>\n",
       "      <td>NaT</td>\n",
       "      <td>5</td>\n",
       "      <td>en</td>\n",
       "      <td>Beautiful unfinished building, should be compl...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>841</th>\n",
       "      <td>MAG001</td>\n",
       "      <td>2021-08-20 08:33:01.027</td>\n",
       "      <td>4.5</td>\n",
       "      <td>1</td>\n",
       "      <td>1186</td>\n",
       "      <td>163828</td>\n",
       "      <td>StevenK@stevenkoh9999</td>\n",
       "      <td>Singapore, Singapore</td>\n",
       "      <td>172</td>\n",
       "      <td>nan</td>\n",
       "      <td>2020-01-08</td>\n",
       "      <td>NaT</td>\n",
       "      <td>5</td>\n",
       "      <td>en</td>\n",
       "      <td>A lifetime of designing and planning by the ar...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>850</th>\n",
       "      <td>MAG001</td>\n",
       "      <td>2021-08-20 08:33:06.518</td>\n",
       "      <td>4.5</td>\n",
       "      <td>1</td>\n",
       "      <td>1186</td>\n",
       "      <td>163828</td>\n",
       "      <td>Margarita@Margaritano</td>\n",
       "      <td>Europe</td>\n",
       "      <td>18</td>\n",
       "      <td>nan</td>\n",
       "      <td>2020-01-07</td>\n",
       "      <td>NaT</td>\n",
       "      <td>4</td>\n",
       "      <td>en</td>\n",
       "      <td>Everybody suggest Sagrada Familia. I loved the...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3183</th>\n",
       "      <td>MAG001</td>\n",
       "      <td>2021-08-20 08:55:30.759</td>\n",
       "      <td>4.5</td>\n",
       "      <td>1</td>\n",
       "      <td>1186</td>\n",
       "      <td>163828</td>\n",
       "      <td>Andrew Jones@wigan1969</td>\n",
       "      <td>nan</td>\n",
       "      <td>2</td>\n",
       "      <td>nan</td>\n",
       "      <td>2019-09-05</td>\n",
       "      <td>NaT</td>\n",
       "      <td>1</td>\n",
       "      <td>en</td>\n",
       "      <td>Nice to look at from the outside, however I ha...</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",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>89332</th>\n",
       "      <td>MAG087</td>\n",
       "      <td>2021-08-21 15:58:48.146</td>\n",
       "      <td>4.0</td>\n",
       "      <td>1</td>\n",
       "      <td>5</td>\n",
       "      <td>6182</td>\n",
       "      <td>Jo P@I4996RBjoannap</td>\n",
       "      <td>Brough, UK</td>\n",
       "      <td>343</td>\n",
       "      <td>nan</td>\n",
       "      <td>2019-07-31</td>\n",
       "      <td>NaT</td>\n",
       "      <td>5</td>\n",
       "      <td>en</td>\n",
       "      <td>Plenty to walk around and see and you can walk...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>89338</th>\n",
       "      <td>MAG087</td>\n",
       "      <td>2021-08-21 15:58:48.682</td>\n",
       "      <td>4.0</td>\n",
       "      <td>1</td>\n",
       "      <td>5</td>\n",
       "      <td>6182</td>\n",
       "      <td>GMcC73@GMcC73</td>\n",
       "      <td>Cork, Ireland</td>\n",
       "      <td>36</td>\n",
       "      <td>nan</td>\n",
       "      <td>2019-07-28</td>\n",
       "      <td>NaT</td>\n",
       "      <td>4</td>\n",
       "      <td>en</td>\n",
       "      <td>We spent a really enjoyable 4 hours there with...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>89339</th>\n",
       "      <td>MAG087</td>\n",
       "      <td>2021-08-21 15:58:48.774</td>\n",
       "      <td>4.0</td>\n",
       "      <td>1</td>\n",
       "      <td>5</td>\n",
       "      <td>6182</td>\n",
       "      <td>CWXXXJH@CWXXXJH</td>\n",
       "      <td>Berkhamsted, UK</td>\n",
       "      <td>46</td>\n",
       "      <td>nan</td>\n",
       "      <td>2019-07-22</td>\n",
       "      <td>NaT</td>\n",
       "      <td>5</td>\n",
       "      <td>en</td>\n",
       "      <td>Well worth signing up for one of the twice dai...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>89347</th>\n",
       "      <td>MAG087</td>\n",
       "      <td>2021-08-21 15:58:54.396</td>\n",
       "      <td>4.0</td>\n",
       "      <td>1</td>\n",
       "      <td>5</td>\n",
       "      <td>6182</td>\n",
       "      <td>Lala L@LalaL827</td>\n",
       "      <td>Alrewas, UK</td>\n",
       "      <td>87</td>\n",
       "      <td>nan</td>\n",
       "      <td>2019-07-10</td>\n",
       "      <td>NaT</td>\n",
       "      <td>3</td>\n",
       "      <td>en</td>\n",
       "      <td>I cycled here in the morning, came off the mai...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>89355</th>\n",
       "      <td>MAG087</td>\n",
       "      <td>2021-08-21 15:58:59.810</td>\n",
       "      <td>4.0</td>\n",
       "      <td>1</td>\n",
       "      <td>5</td>\n",
       "      <td>6182</td>\n",
       "      <td>Remi@alexandraremi</td>\n",
       "      <td>England</td>\n",
       "      <td>2520</td>\n",
       "      <td>nan</td>\n",
       "      <td>2019-06-30</td>\n",
       "      <td>NaT</td>\n",
       "      <td>4</td>\n",
       "      <td>en</td>\n",
       "      <td>€9.5 per person per entry inclusive of carpark...</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>710 rows × 15 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "      localID          extractionDate  globalRating  positionOnRanking  \\\n",
       "78     MAG001 2021-08-20 08:25:18.941           4.5                  1   \n",
       "624    MAG001 2021-08-20 08:30:40.273           4.5                  1   \n",
       "841    MAG001 2021-08-20 08:33:01.027           4.5                  1   \n",
       "850    MAG001 2021-08-20 08:33:06.518           4.5                  1   \n",
       "3183   MAG001 2021-08-20 08:55:30.759           4.5                  1   \n",
       "...       ...                     ...           ...                ...   \n",
       "89332  MAG087 2021-08-21 15:58:48.146           4.0                  1   \n",
       "89338  MAG087 2021-08-21 15:58:48.682           4.0                  1   \n",
       "89339  MAG087 2021-08-21 15:58:48.774           4.0                  1   \n",
       "89347  MAG087 2021-08-21 15:58:54.396           4.0                  1   \n",
       "89355  MAG087 2021-08-21 15:58:59.810           4.0                  1   \n",
       "\n",
       "       sitesOnRanking  totalReviews                 userName  \\\n",
       "78               1186        163828      thomas@thomasphunos   \n",
       "624              1186        163828  Paolo616616@Paolo616616   \n",
       "841              1186        163828    StevenK@stevenkoh9999   \n",
       "850              1186        163828    Margarita@Margaritano   \n",
       "3183             1186        163828   Andrew Jones@wigan1969   \n",
       "...               ...           ...                      ...   \n",
       "89332               5          6182      Jo P@I4996RBjoannap   \n",
       "89338               5          6182            GMcC73@GMcC73   \n",
       "89339               5          6182          CWXXXJH@CWXXXJH   \n",
       "89347               5          6182          Lala L@LalaL827   \n",
       "89355               5          6182       Remi@alexandraremi   \n",
       "\n",
       "                 userLocation  userContributions tripType reviewWritten  \\\n",
       "78             Manchester, UK                  1      nan    2020-09-25   \n",
       "624    Prague, Czech Republic                284      nan    2020-02-03   \n",
       "841      Singapore, Singapore                172      nan    2020-01-08   \n",
       "850                    Europe                 18      nan    2020-01-07   \n",
       "3183                      nan                  2      nan    2019-09-05   \n",
       "...                       ...                ...      ...           ...   \n",
       "89332              Brough, UK                343      nan    2019-07-31   \n",
       "89338           Cork, Ireland                 36      nan    2019-07-28   \n",
       "89339         Berkhamsted, UK                 46      nan    2019-07-22   \n",
       "89347             Alrewas, UK                 87      nan    2019-07-10   \n",
       "89355                 England               2520      nan    2019-06-30   \n",
       "\n",
       "      reviewVisited  reviewRating reviewLanguage  \\\n",
       "78              NaT             4             en   \n",
       "624             NaT             5             en   \n",
       "841             NaT             5             en   \n",
       "850             NaT             4             en   \n",
       "3183            NaT             1             en   \n",
       "...             ...           ...            ...   \n",
       "89332           NaT             5             en   \n",
       "89338           NaT             4             en   \n",
       "89339           NaT             5             en   \n",
       "89347           NaT             3             en   \n",
       "89355           NaT             4             en   \n",
       "\n",
       "                                          reviewFullText  \n",
       "78     Amazing place , now a days it was not very qui...  \n",
       "624    Beautiful unfinished building, should be compl...  \n",
       "841    A lifetime of designing and planning by the ar...  \n",
       "850    Everybody suggest Sagrada Familia. I loved the...  \n",
       "3183   Nice to look at from the outside, however I ha...  \n",
       "...                                                  ...  \n",
       "89332  Plenty to walk around and see and you can walk...  \n",
       "89338  We spent a really enjoyable 4 hours there with...  \n",
       "89339  Well worth signing up for one of the twice dai...  \n",
       "89347  I cycled here in the morning, came off the mai...  \n",
       "89355  €9.5 per person per entry inclusive of carpark...  \n",
       "\n",
       "[710 rows x 15 columns]"
      ]
     },
     "execution_count": 21,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "ds[dv_series]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 22,
   "id": "aec7c498",
   "metadata": {},
   "outputs": [],
   "source": [
    "#Use the modal value to replace missing data in reviewvisited\n",
    "ds['reviewVisited'].replace([np.nan], ds['reviewVisited'].mode()[0], inplace=True)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 23,
   "id": "c7c08c7c",
   "metadata": {},
   "outputs": [
    {
     "data": {
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       "      <th></th>\n",
       "      <th>localID</th>\n",
       "      <th>extractionDate</th>\n",
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       "      <th>78</th>\n",
       "      <td>MAG001</td>\n",
       "      <td>2021-08-20 08:25:18.941</td>\n",
       "      <td>4.5</td>\n",
       "      <td>1</td>\n",
       "      <td>1186</td>\n",
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       "      <td>thomas@thomasphunos</td>\n",
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       "      <td>2019-09-01</td>\n",
       "      <td>4</td>\n",
       "      <td>en</td>\n",
       "      <td>Amazing place , now a days it was not very qui...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>624</th>\n",
       "      <td>MAG001</td>\n",
       "      <td>2021-08-20 08:30:40.273</td>\n",
       "      <td>4.5</td>\n",
       "      <td>1</td>\n",
       "      <td>1186</td>\n",
       "      <td>163828</td>\n",
       "      <td>Paolo616616@Paolo616616</td>\n",
       "      <td>Prague, Czech Republic</td>\n",
       "      <td>284</td>\n",
       "      <td>nan</td>\n",
       "      <td>2020-02-03</td>\n",
       "      <td>2019-09-01</td>\n",
       "      <td>5</td>\n",
       "      <td>en</td>\n",
       "      <td>Beautiful unfinished building, should be compl...</td>\n",
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       "    <tr>\n",
       "      <th>841</th>\n",
       "      <td>MAG001</td>\n",
       "      <td>2021-08-20 08:33:01.027</td>\n",
       "      <td>4.5</td>\n",
       "      <td>1</td>\n",
       "      <td>1186</td>\n",
       "      <td>163828</td>\n",
       "      <td>StevenK@stevenkoh9999</td>\n",
       "      <td>Singapore, Singapore</td>\n",
       "      <td>172</td>\n",
       "      <td>nan</td>\n",
       "      <td>2020-01-08</td>\n",
       "      <td>2019-09-01</td>\n",
       "      <td>5</td>\n",
       "      <td>en</td>\n",
       "      <td>A lifetime of designing and planning by the ar...</td>\n",
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       "    <tr>\n",
       "      <th>850</th>\n",
       "      <td>MAG001</td>\n",
       "      <td>2021-08-20 08:33:06.518</td>\n",
       "      <td>4.5</td>\n",
       "      <td>1</td>\n",
       "      <td>1186</td>\n",
       "      <td>163828</td>\n",
       "      <td>Margarita@Margaritano</td>\n",
       "      <td>Europe</td>\n",
       "      <td>18</td>\n",
       "      <td>nan</td>\n",
       "      <td>2020-01-07</td>\n",
       "      <td>2019-09-01</td>\n",
       "      <td>4</td>\n",
       "      <td>en</td>\n",
       "      <td>Everybody suggest Sagrada Familia. I loved the...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3183</th>\n",
       "      <td>MAG001</td>\n",
       "      <td>2021-08-20 08:55:30.759</td>\n",
       "      <td>4.5</td>\n",
       "      <td>1</td>\n",
       "      <td>1186</td>\n",
       "      <td>163828</td>\n",
       "      <td>Andrew Jones@wigan1969</td>\n",
       "      <td>nan</td>\n",
       "      <td>2</td>\n",
       "      <td>nan</td>\n",
       "      <td>2019-09-05</td>\n",
       "      <td>2019-09-01</td>\n",
       "      <td>1</td>\n",
       "      <td>en</td>\n",
       "      <td>Nice to look at from the outside, however I ha...</td>\n",
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       "    <tr>\n",
       "      <th>...</th>\n",
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       "      <td>...</td>\n",
       "      <td>...</td>\n",
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       "    <tr>\n",
       "      <th>89332</th>\n",
       "      <td>MAG087</td>\n",
       "      <td>2021-08-21 15:58:48.146</td>\n",
       "      <td>4.0</td>\n",
       "      <td>1</td>\n",
       "      <td>5</td>\n",
       "      <td>6182</td>\n",
       "      <td>Jo P@I4996RBjoannap</td>\n",
       "      <td>Brough, UK</td>\n",
       "      <td>343</td>\n",
       "      <td>nan</td>\n",
       "      <td>2019-07-31</td>\n",
       "      <td>2019-09-01</td>\n",
       "      <td>5</td>\n",
       "      <td>en</td>\n",
       "      <td>Plenty to walk around and see and you can walk...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>89338</th>\n",
       "      <td>MAG087</td>\n",
       "      <td>2021-08-21 15:58:48.682</td>\n",
       "      <td>4.0</td>\n",
       "      <td>1</td>\n",
       "      <td>5</td>\n",
       "      <td>6182</td>\n",
       "      <td>GMcC73@GMcC73</td>\n",
       "      <td>Cork, Ireland</td>\n",
       "      <td>36</td>\n",
       "      <td>nan</td>\n",
       "      <td>2019-07-28</td>\n",
       "      <td>2019-09-01</td>\n",
       "      <td>4</td>\n",
       "      <td>en</td>\n",
       "      <td>We spent a really enjoyable 4 hours there with...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>89339</th>\n",
       "      <td>MAG087</td>\n",
       "      <td>2021-08-21 15:58:48.774</td>\n",
       "      <td>4.0</td>\n",
       "      <td>1</td>\n",
       "      <td>5</td>\n",
       "      <td>6182</td>\n",
       "      <td>CWXXXJH@CWXXXJH</td>\n",
       "      <td>Berkhamsted, UK</td>\n",
       "      <td>46</td>\n",
       "      <td>nan</td>\n",
       "      <td>2019-07-22</td>\n",
       "      <td>2019-09-01</td>\n",
       "      <td>5</td>\n",
       "      <td>en</td>\n",
       "      <td>Well worth signing up for one of the twice dai...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>89347</th>\n",
       "      <td>MAG087</td>\n",
       "      <td>2021-08-21 15:58:54.396</td>\n",
       "      <td>4.0</td>\n",
       "      <td>1</td>\n",
       "      <td>5</td>\n",
       "      <td>6182</td>\n",
       "      <td>Lala L@LalaL827</td>\n",
       "      <td>Alrewas, UK</td>\n",
       "      <td>87</td>\n",
       "      <td>nan</td>\n",
       "      <td>2019-07-10</td>\n",
       "      <td>2019-09-01</td>\n",
       "      <td>3</td>\n",
       "      <td>en</td>\n",
       "      <td>I cycled here in the morning, came off the mai...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>89355</th>\n",
       "      <td>MAG087</td>\n",
       "      <td>2021-08-21 15:58:59.810</td>\n",
       "      <td>4.0</td>\n",
       "      <td>1</td>\n",
       "      <td>5</td>\n",
       "      <td>6182</td>\n",
       "      <td>Remi@alexandraremi</td>\n",
       "      <td>England</td>\n",
       "      <td>2520</td>\n",
       "      <td>nan</td>\n",
       "      <td>2019-06-30</td>\n",
       "      <td>2019-09-01</td>\n",
       "      <td>4</td>\n",
       "      <td>en</td>\n",
       "      <td>€9.5 per person per entry inclusive of carpark...</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>710 rows × 15 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "      localID          extractionDate  globalRating  positionOnRanking  \\\n",
       "78     MAG001 2021-08-20 08:25:18.941           4.5                  1   \n",
       "624    MAG001 2021-08-20 08:30:40.273           4.5                  1   \n",
       "841    MAG001 2021-08-20 08:33:01.027           4.5                  1   \n",
       "850    MAG001 2021-08-20 08:33:06.518           4.5                  1   \n",
       "3183   MAG001 2021-08-20 08:55:30.759           4.5                  1   \n",
       "...       ...                     ...           ...                ...   \n",
       "89332  MAG087 2021-08-21 15:58:48.146           4.0                  1   \n",
       "89338  MAG087 2021-08-21 15:58:48.682           4.0                  1   \n",
       "89339  MAG087 2021-08-21 15:58:48.774           4.0                  1   \n",
       "89347  MAG087 2021-08-21 15:58:54.396           4.0                  1   \n",
       "89355  MAG087 2021-08-21 15:58:59.810           4.0                  1   \n",
       "\n",
       "       sitesOnRanking  totalReviews                 userName  \\\n",
       "78               1186        163828      thomas@thomasphunos   \n",
       "624              1186        163828  Paolo616616@Paolo616616   \n",
       "841              1186        163828    StevenK@stevenkoh9999   \n",
       "850              1186        163828    Margarita@Margaritano   \n",
       "3183             1186        163828   Andrew Jones@wigan1969   \n",
       "...               ...           ...                      ...   \n",
       "89332               5          6182      Jo P@I4996RBjoannap   \n",
       "89338               5          6182            GMcC73@GMcC73   \n",
       "89339               5          6182          CWXXXJH@CWXXXJH   \n",
       "89347               5          6182          Lala L@LalaL827   \n",
       "89355               5          6182       Remi@alexandraremi   \n",
       "\n",
       "                 userLocation  userContributions tripType reviewWritten  \\\n",
       "78             Manchester, UK                  1      nan    2020-09-25   \n",
       "624    Prague, Czech Republic                284      nan    2020-02-03   \n",
       "841      Singapore, Singapore                172      nan    2020-01-08   \n",
       "850                    Europe                 18      nan    2020-01-07   \n",
       "3183                      nan                  2      nan    2019-09-05   \n",
       "...                       ...                ...      ...           ...   \n",
       "89332              Brough, UK                343      nan    2019-07-31   \n",
       "89338           Cork, Ireland                 36      nan    2019-07-28   \n",
       "89339         Berkhamsted, UK                 46      nan    2019-07-22   \n",
       "89347             Alrewas, UK                 87      nan    2019-07-10   \n",
       "89355                 England               2520      nan    2019-06-30   \n",
       "\n",
       "      reviewVisited  reviewRating reviewLanguage  \\\n",
       "78       2019-09-01             4             en   \n",
       "624      2019-09-01             5             en   \n",
       "841      2019-09-01             5             en   \n",
       "850      2019-09-01             4             en   \n",
       "3183     2019-09-01             1             en   \n",
       "...             ...           ...            ...   \n",
       "89332    2019-09-01             5             en   \n",
       "89338    2019-09-01             4             en   \n",
       "89339    2019-09-01             5             en   \n",
       "89347    2019-09-01             3             en   \n",
       "89355    2019-09-01             4             en   \n",
       "\n",
       "                                          reviewFullText  \n",
       "78     Amazing place , now a days it was not very qui...  \n",
       "624    Beautiful unfinished building, should be compl...  \n",
       "841    A lifetime of designing and planning by the ar...  \n",
       "850    Everybody suggest Sagrada Familia. I loved the...  \n",
       "3183   Nice to look at from the outside, however I ha...  \n",
       "...                                                  ...  \n",
       "89332  Plenty to walk around and see and you can walk...  \n",
       "89338  We spent a really enjoyable 4 hours there with...  \n",
       "89339  Well worth signing up for one of the twice dai...  \n",
       "89347  I cycled here in the morning, came off the mai...  \n",
       "89355  €9.5 per person per entry inclusive of carpark...  \n",
       "\n",
       "[710 rows x 15 columns]"
      ]
     },
     "execution_count": 23,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "ds[dv_series]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 24,
   "id": "1f60acf8",
   "metadata": {},
   "outputs": [],
   "source": [
    "# checking for missing data for trip type,  creating bool series for missing data\n",
    "tt_series = pd.isnull(ds['tripType'])"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 25,
   "id": "66954a16",
   "metadata": {},
   "outputs": [
    {
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       "      <th>userName</th>\n",
       "      <th>userLocation</th>\n",
       "      <th>userContributions</th>\n",
       "      <th>tripType</th>\n",
       "      <th>reviewWritten</th>\n",
       "      <th>reviewVisited</th>\n",
       "      <th>reviewRating</th>\n",
       "      <th>reviewLanguage</th>\n",
       "      <th>reviewFullText</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "Empty DataFrame\n",
       "Columns: [localID, extractionDate, globalRating, positionOnRanking, sitesOnRanking, totalReviews, userName, userLocation, userContributions, tripType, reviewWritten, reviewVisited, reviewRating, reviewLanguage, reviewFullText]\n",
       "Index: []"
      ]
     },
     "execution_count": 25,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "ds[tt_series]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 26,
   "id": "79914da6",
   "metadata": {},
   "outputs": [],
   "source": [
    "#Use 'Other' value to replace missing data in triptype\n",
    "ds['tripType'].fillna(value = 'Other', inplace = True)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 27,
   "id": "5964a30f",
   "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>localID</th>\n",
       "      <th>extractionDate</th>\n",
       "      <th>globalRating</th>\n",
       "      <th>positionOnRanking</th>\n",
       "      <th>sitesOnRanking</th>\n",
       "      <th>totalReviews</th>\n",
       "      <th>userName</th>\n",
       "      <th>userLocation</th>\n",
       "      <th>userContributions</th>\n",
       "      <th>tripType</th>\n",
       "      <th>reviewWritten</th>\n",
       "      <th>reviewVisited</th>\n",
       "      <th>reviewRating</th>\n",
       "      <th>reviewLanguage</th>\n",
       "      <th>reviewFullText</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "Empty DataFrame\n",
       "Columns: [localID, extractionDate, globalRating, positionOnRanking, sitesOnRanking, totalReviews, userName, userLocation, userContributions, tripType, reviewWritten, reviewVisited, reviewRating, reviewLanguage, reviewFullText]\n",
       "Index: []"
      ]
     },
     "execution_count": 27,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "ds[tt_series]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 28,
   "id": "093737ad",
   "metadata": {},
   "outputs": [],
   "source": [
    "# Loading the Table Attraction and combine"
   ]
  },
  {
   "cell_type": "raw",
   "id": "3f47dd78",
   "metadata": {},
   "source": [
    "wb = openpyxl.load_workbook('EuropeTop100Attractions_ENG_20190101_20210821.xlsx')\n",
    "print(wb.sheetnames)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 29,
   "id": "fdc2e8cb",
   "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>ID</th>\n",
       "      <th>Name</th>\n",
       "      <th>Country</th>\n",
       "      <th>ISO</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>MAG001</td>\n",
       "      <td>Basilica of the Sagrada Familia</td>\n",
       "      <td>Spain</td>\n",
       "      <td>ES</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>MAG002</td>\n",
       "      <td>Parc Guell</td>\n",
       "      <td>Spain</td>\n",
       "      <td>ES</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>MAG003</td>\n",
       "      <td>Tower of London</td>\n",
       "      <td>England</td>\n",
       "      <td>UK</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>MAG004</td>\n",
       "      <td>Casa Batllo</td>\n",
       "      <td>Spain</td>\n",
       "      <td>ES</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>MAG005</td>\n",
       "      <td>Staromestske namesti</td>\n",
       "      <td>Czech Republic</td>\n",
       "      <td>CZ</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>95</th>\n",
       "      <td>MAG096</td>\n",
       "      <td>Duomo di Pisa</td>\n",
       "      <td>Italy</td>\n",
       "      <td>IT</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>96</th>\n",
       "      <td>MAG097</td>\n",
       "      <td>La Lonja de la Seda</td>\n",
       "      <td>Spain</td>\n",
       "      <td>ES</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>97</th>\n",
       "      <td>MAG098</td>\n",
       "      <td>The Walls of Avila</td>\n",
       "      <td>Spain</td>\n",
       "      <td>ES</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>98</th>\n",
       "      <td>MAG099</td>\n",
       "      <td>Place Stanislas</td>\n",
       "      <td>France</td>\n",
       "      <td>FR</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>99</th>\n",
       "      <td>MAG100</td>\n",
       "      <td>Centro Storico</td>\n",
       "      <td>Italy</td>\n",
       "      <td>IT</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>100 rows × 4 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "        ID                             Name         Country ISO\n",
       "0   MAG001  Basilica of the Sagrada Familia           Spain  ES\n",
       "1   MAG002                       Parc Guell           Spain  ES\n",
       "2   MAG003                  Tower of London         England  UK\n",
       "3   MAG004                      Casa Batllo           Spain  ES\n",
       "4   MAG005             Staromestske namesti  Czech Republic  CZ\n",
       "..     ...                              ...             ...  ..\n",
       "95  MAG096                    Duomo di Pisa           Italy  IT\n",
       "96  MAG097              La Lonja de la Seda           Spain  ES\n",
       "97  MAG098               The Walls of Avila           Spain  ES\n",
       "98  MAG099                  Place Stanislas          France  FR\n",
       "99  MAG100                   Centro Storico           Italy  IT\n",
       "\n",
       "[100 rows x 4 columns]"
      ]
     },
     "execution_count": 29,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "ds_att = pd.read_excel(io = 'EuropeTop100Attractions_ENG_20190101_20210821.xlsx', sheet_name= 'Attractions',engine= 'openpyxl')\n",
    "ds_att"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 30,
   "id": "b331eeda",
   "metadata": {
    "scrolled": true
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "Index(['ID', 'Name', 'Country', 'ISO'], dtype='object')"
      ]
     },
     "execution_count": 30,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "ds_att.columns"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 31,
   "id": "33f2d384",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "Index(['localID', 'Name', 'Country', 'ISO'], dtype='object')"
      ]
     },
     "execution_count": 31,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "ds_att.columns = ['localID', 'Name', 'Country', 'ISO']\n",
    "ds_att.columns"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 32,
   "id": "7abfb45b",
   "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>localID</th>\n",
       "      <th>extractionDate</th>\n",
       "      <th>globalRating</th>\n",
       "      <th>positionOnRanking</th>\n",
       "      <th>sitesOnRanking</th>\n",
       "      <th>totalReviews</th>\n",
       "      <th>userName</th>\n",
       "      <th>userLocation</th>\n",
       "      <th>userContributions</th>\n",
       "      <th>tripType</th>\n",
       "      <th>reviewWritten</th>\n",
       "      <th>reviewVisited</th>\n",
       "      <th>reviewRating</th>\n",
       "      <th>reviewLanguage</th>\n",
       "      <th>reviewFullText</th>\n",
       "      <th>Name</th>\n",
       "      <th>Country</th>\n",
       "      <th>ISO</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>MAG001</td>\n",
       "      <td>2021-08-20 08:24:40.077</td>\n",
       "      <td>4.5</td>\n",
       "      <td>1</td>\n",
       "      <td>1186</td>\n",
       "      <td>163828</td>\n",
       "      <td>Maurice M@MauriceM171</td>\n",
       "      <td>Indianapolis, IN</td>\n",
       "      <td>29</td>\n",
       "      <td>Couples</td>\n",
       "      <td>2021-08-18</td>\n",
       "      <td>2021-08-01</td>\n",
       "      <td>5</td>\n",
       "      <td>en</td>\n",
       "      <td>Absolutely breathtaking use of light, an amazi...</td>\n",
       "      <td>Basilica of the Sagrada Familia</td>\n",
       "      <td>Spain</td>\n",
       "      <td>ES</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>MAG001</td>\n",
       "      <td>2021-08-20 08:24:40.097</td>\n",
       "      <td>4.5</td>\n",
       "      <td>1</td>\n",
       "      <td>1186</td>\n",
       "      <td>163828</td>\n",
       "      <td>nickchamb@nickchamb</td>\n",
       "      <td>Bandon, Ireland</td>\n",
       "      <td>7</td>\n",
       "      <td>Couples</td>\n",
       "      <td>2021-08-17</td>\n",
       "      <td>2021-03-01</td>\n",
       "      <td>5</td>\n",
       "      <td>en</td>\n",
       "      <td>A really interesting and beautiful place to vi...</td>\n",
       "      <td>Basilica of the Sagrada Familia</td>\n",
       "      <td>Spain</td>\n",
       "      <td>ES</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>MAG001</td>\n",
       "      <td>2021-08-20 08:24:40.117</td>\n",
       "      <td>4.5</td>\n",
       "      <td>1</td>\n",
       "      <td>1186</td>\n",
       "      <td>163828</td>\n",
       "      <td>Arthur Villon@arthur4588</td>\n",
       "      <td>Valencia, Spain</td>\n",
       "      <td>268</td>\n",
       "      <td>Friends</td>\n",
       "      <td>2021-08-16</td>\n",
       "      <td>2021-08-01</td>\n",
       "      <td>5</td>\n",
       "      <td>en</td>\n",
       "      <td>Beautiful place and must visit place in barcel...</td>\n",
       "      <td>Basilica of the Sagrada Familia</td>\n",
       "      <td>Spain</td>\n",
       "      <td>ES</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>MAG001</td>\n",
       "      <td>2021-08-20 08:24:40.147</td>\n",
       "      <td>4.5</td>\n",
       "      <td>1</td>\n",
       "      <td>1186</td>\n",
       "      <td>163828</td>\n",
       "      <td>James U@696jamesu</td>\n",
       "      <td>nan</td>\n",
       "      <td>7</td>\n",
       "      <td>nan</td>\n",
       "      <td>2021-08-16</td>\n",
       "      <td>2021-07-01</td>\n",
       "      <td>5</td>\n",
       "      <td>en</td>\n",
       "      <td>A MUST when visiting Barcelkona.  It is consta...</td>\n",
       "      <td>Basilica of the Sagrada Familia</td>\n",
       "      <td>Spain</td>\n",
       "      <td>ES</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>MAG001</td>\n",
       "      <td>2021-08-20 08:24:40.159</td>\n",
       "      <td>4.5</td>\n",
       "      <td>1</td>\n",
       "      <td>1186</td>\n",
       "      <td>163828</td>\n",
       "      <td>Kamal K Sirra@Sirra63</td>\n",
       "      <td>Madrid, Spain</td>\n",
       "      <td>516</td>\n",
       "      <td>Family</td>\n",
       "      <td>2021-08-15</td>\n",
       "      <td>2021-07-01</td>\n",
       "      <td>4</td>\n",
       "      <td>en</td>\n",
       "      <td>I visited about 20 years ago and there has bee...</td>\n",
       "      <td>Basilica of the Sagrada Familia</td>\n",
       "      <td>Spain</td>\n",
       "      <td>ES</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "  localID          extractionDate  globalRating  positionOnRanking  \\\n",
       "0  MAG001 2021-08-20 08:24:40.077           4.5                  1   \n",
       "1  MAG001 2021-08-20 08:24:40.097           4.5                  1   \n",
       "2  MAG001 2021-08-20 08:24:40.117           4.5                  1   \n",
       "3  MAG001 2021-08-20 08:24:40.147           4.5                  1   \n",
       "4  MAG001 2021-08-20 08:24:40.159           4.5                  1   \n",
       "\n",
       "   sitesOnRanking  totalReviews                  userName      userLocation  \\\n",
       "0            1186        163828     Maurice M@MauriceM171  Indianapolis, IN   \n",
       "1            1186        163828       nickchamb@nickchamb   Bandon, Ireland   \n",
       "2            1186        163828  Arthur Villon@arthur4588   Valencia, Spain   \n",
       "3            1186        163828         James U@696jamesu               nan   \n",
       "4            1186        163828     Kamal K Sirra@Sirra63     Madrid, Spain   \n",
       "\n",
       "   userContributions tripType reviewWritten reviewVisited  reviewRating  \\\n",
       "0                 29  Couples    2021-08-18    2021-08-01             5   \n",
       "1                  7  Couples    2021-08-17    2021-03-01             5   \n",
       "2                268  Friends    2021-08-16    2021-08-01             5   \n",
       "3                  7      nan    2021-08-16    2021-07-01             5   \n",
       "4                516   Family    2021-08-15    2021-07-01             4   \n",
       "\n",
       "  reviewLanguage                                     reviewFullText  \\\n",
       "0             en  Absolutely breathtaking use of light, an amazi...   \n",
       "1             en  A really interesting and beautiful place to vi...   \n",
       "2             en  Beautiful place and must visit place in barcel...   \n",
       "3             en  A MUST when visiting Barcelkona.  It is consta...   \n",
       "4             en  I visited about 20 years ago and there has bee...   \n",
       "\n",
       "                              Name Country ISO  \n",
       "0  Basilica of the Sagrada Familia   Spain  ES  \n",
       "1  Basilica of the Sagrada Familia   Spain  ES  \n",
       "2  Basilica of the Sagrada Familia   Spain  ES  \n",
       "3  Basilica of the Sagrada Familia   Spain  ES  \n",
       "4  Basilica of the Sagrada Familia   Spain  ES  "
      ]
     },
     "execution_count": 32,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "ds_com = ds.merge(ds_att, how='left', on='localID')\n",
    "ds_com.head()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 33,
   "id": "eee67874",
   "metadata": {},
   "outputs": [],
   "source": [
    "# Reformat variable types\n",
    "cols = ['Country']\n",
    "ds_com[cols] = ds_com[cols].astype(str)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 34,
   "id": "c001b8ce",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "<class 'pandas.core.frame.DataFrame'>\n",
      "Int64Index: 90004 entries, 0 to 90003\n",
      "Data columns (total 18 columns):\n",
      " #   Column             Non-Null Count  Dtype         \n",
      "---  ------             --------------  -----         \n",
      " 0   localID            90004 non-null  object        \n",
      " 1   extractionDate     90004 non-null  datetime64[ns]\n",
      " 2   globalRating       90004 non-null  float64       \n",
      " 3   positionOnRanking  90004 non-null  int64         \n",
      " 4   sitesOnRanking     90004 non-null  int64         \n",
      " 5   totalReviews       90004 non-null  int64         \n",
      " 6   userName           90004 non-null  object        \n",
      " 7   userLocation       90004 non-null  object        \n",
      " 8   userContributions  90004 non-null  int64         \n",
      " 9   tripType           90004 non-null  object        \n",
      " 10  reviewWritten      90004 non-null  datetime64[ns]\n",
      " 11  reviewVisited      90004 non-null  datetime64[ns]\n",
      " 12  reviewRating       90004 non-null  int64         \n",
      " 13  reviewLanguage     90004 non-null  object        \n",
      " 14  reviewFullText     90004 non-null  object        \n",
      " 15  Name               84444 non-null  object        \n",
      " 16  Country            90004 non-null  object        \n",
      " 17  ISO                84444 non-null  object        \n",
      "dtypes: datetime64[ns](3), float64(1), int64(5), object(9)\n",
      "memory usage: 13.0+ MB\n"
     ]
    }
   ],
   "source": [
    "ds_com.info()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 35,
   "id": "3242c33b",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "<class 'pandas.core.frame.DataFrame'>\n",
      "Int64Index: 90004 entries, 0 to 90003\n",
      "Data columns (total 18 columns):\n",
      " #   Column             Non-Null Count  Dtype         \n",
      "---  ------             --------------  -----         \n",
      " 0   localID            90004 non-null  object        \n",
      " 1   extractionDate     90004 non-null  datetime64[ns]\n",
      " 2   globalRating       90004 non-null  float64       \n",
      " 3   positionOnRanking  90004 non-null  int64         \n",
      " 4   sitesOnRanking     90004 non-null  int64         \n",
      " 5   totalReviews       90004 non-null  int64         \n",
      " 6   userName           90004 non-null  object        \n",
      " 7   userLocation       90004 non-null  object        \n",
      " 8   userContributions  90004 non-null  int64         \n",
      " 9   tripType           90004 non-null  object        \n",
      " 10  reviewWritten      90004 non-null  datetime64[ns]\n",
      " 11  reviewVisited      90004 non-null  datetime64[ns]\n",
      " 12  reviewRating       90004 non-null  int64         \n",
      " 13  reviewLanguage     90004 non-null  object        \n",
      " 14  reviewFullText     90004 non-null  object        \n",
      " 15  Name               84444 non-null  object        \n",
      " 16  Country            90004 non-null  object        \n",
      " 17  ISO                84444 non-null  object        \n",
      "dtypes: datetime64[ns](3), float64(1), int64(5), object(9)\n",
      "memory usage: 13.0+ MB\n"
     ]
    }
   ],
   "source": [
    "# Reformat variable types\n",
    "cols = ['userName']\n",
    "ds_com[cols] = ds_com[cols].astype(str)\n",
    "ds_com.info()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 36,
   "id": "92252056-05c6-4e6f-b089-73f8958f44d2",
   "metadata": {},
   "outputs": [
    {
     "data": {
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       "      <th></th>\n",
       "      <th>localID</th>\n",
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       "      <th>ISO</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>29827</th>\n",
       "      <td>MAG010</td>\n",
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       "      <td>Barbs25@Barbs25</td>\n",
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       "      <td>3</td>\n",
       "      <td>en</td>\n",
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       "      <td>Torre de Belém</td>\n",
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       "      <td>2021-07-01</td>\n",
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       "      <td>en</td>\n",
       "      <td>Well worth the visit in the Belem portion of t...</td>\n",
       "      <td>Torre de Belém</td>\n",
       "      <td>Portugal</td>\n",
       "      <td>PT</td>\n",
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       "    <tr>\n",
       "      <th>29829</th>\n",
       "      <td>MAG010</td>\n",
       "      <td>2021-08-20 13:10:44.173</td>\n",
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       "      <td>6</td>\n",
       "      <td>726</td>\n",
       "      <td>36979</td>\n",
       "      <td>Runawayblond@runawayblond</td>\n",
       "      <td>Chicago, IL</td>\n",
       "      <td>217</td>\n",
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       "      <td>2021-07-26</td>\n",
       "      <td>2021-06-01</td>\n",
       "      <td>4</td>\n",
       "      <td>en</td>\n",
       "      <td>Really cool! Sadly it was closed to explore be...</td>\n",
       "      <td>Torre de Belém</td>\n",
       "      <td>Portugal</td>\n",
       "      <td>PT</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>29830</th>\n",
       "      <td>MAG010</td>\n",
       "      <td>2021-08-20 13:10:44.204</td>\n",
       "      <td>4.0</td>\n",
       "      <td>6</td>\n",
       "      <td>726</td>\n",
       "      <td>36979</td>\n",
       "      <td>Darren H@DarrenHumphrey</td>\n",
       "      <td>Orlando, FL</td>\n",
       "      <td>298</td>\n",
       "      <td>nan</td>\n",
       "      <td>2021-07-24</td>\n",
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       "      <td>5</td>\n",
       "      <td>en</td>\n",
       "      <td>What visit to Lisbon is complete without at le...</td>\n",
       "      <td>Torre de Belém</td>\n",
       "      <td>Portugal</td>\n",
       "      <td>PT</td>\n",
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       "    <tr>\n",
       "      <th>29831</th>\n",
       "      <td>MAG010</td>\n",
       "      <td>2021-08-20 13:10:44.257</td>\n",
       "      <td>4.0</td>\n",
       "      <td>6</td>\n",
       "      <td>726</td>\n",
       "      <td>36979</td>\n",
       "      <td>Kevin S@kevins684</td>\n",
       "      <td>Pontypridd, UK</td>\n",
       "      <td>4550</td>\n",
       "      <td>nan</td>\n",
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       "      <td>2021-07-01</td>\n",
       "      <td>4</td>\n",
       "      <td>en</td>\n",
       "      <td>A 16th century tower, ornately built so seemin...</td>\n",
       "      <td>Torre de Belém</td>\n",
       "      <td>Portugal</td>\n",
       "      <td>PT</td>\n",
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       "    <tr>\n",
       "      <th>...</th>\n",
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       "    <tr>\n",
       "      <th>89051</th>\n",
       "      <td>MAG093</td>\n",
       "      <td>2021-08-21 16:16:09.740</td>\n",
       "      <td>4.5</td>\n",
       "      <td>1</td>\n",
       "      <td>101</td>\n",
       "      <td>6805</td>\n",
       "      <td>JAFL@Joao-Jafl</td>\n",
       "      <td>Braga, Portugal</td>\n",
       "      <td>17</td>\n",
       "      <td>Solo</td>\n",
       "      <td>2019-02-12</td>\n",
       "      <td>2019-01-01</td>\n",
       "      <td>5</td>\n",
       "      <td>en</td>\n",
       "      <td>Excelente place for walk or running with amazi...</td>\n",
       "      <td>Bom Jesus do Monte</td>\n",
       "      <td>Portugal</td>\n",
       "      <td>PT</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>89052</th>\n",
       "      <td>MAG093</td>\n",
       "      <td>2021-08-21 16:16:09.846</td>\n",
       "      <td>4.5</td>\n",
       "      <td>1</td>\n",
       "      <td>101</td>\n",
       "      <td>6805</td>\n",
       "      <td>Loveitta@Loveitta</td>\n",
       "      <td>Manchester, UK</td>\n",
       "      <td>24</td>\n",
       "      <td>Solo</td>\n",
       "      <td>2019-01-17</td>\n",
       "      <td>2019-01-01</td>\n",
       "      <td>5</td>\n",
       "      <td>en</td>\n",
       "      <td>I'm so happy that i visited this amazing churc...</td>\n",
       "      <td>Bom Jesus do Monte</td>\n",
       "      <td>Portugal</td>\n",
       "      <td>PT</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>89053</th>\n",
       "      <td>MAG093</td>\n",
       "      <td>2021-08-21 16:16:09.952</td>\n",
       "      <td>4.5</td>\n",
       "      <td>1</td>\n",
       "      <td>101</td>\n",
       "      <td>6805</td>\n",
       "      <td>Kaytd60@Kaytd60</td>\n",
       "      <td>Adelaide, Australia</td>\n",
       "      <td>33</td>\n",
       "      <td>nan</td>\n",
       "      <td>2019-01-15</td>\n",
       "      <td>2018-09-01</td>\n",
       "      <td>5</td>\n",
       "      <td>en</td>\n",
       "      <td>We took the local bus up to Bom Jesus do Monte...</td>\n",
       "      <td>Bom Jesus do Monte</td>\n",
       "      <td>Portugal</td>\n",
       "      <td>PT</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>89054</th>\n",
       "      <td>MAG093</td>\n",
       "      <td>2021-08-21 16:16:10.049</td>\n",
       "      <td>4.5</td>\n",
       "      <td>1</td>\n",
       "      <td>101</td>\n",
       "      <td>6805</td>\n",
       "      <td>BlueSkyTravell@BlueSkyTravell</td>\n",
       "      <td>Obertshausen, Germany</td>\n",
       "      <td>18</td>\n",
       "      <td>Family</td>\n",
       "      <td>2019-01-03</td>\n",
       "      <td>2019-01-01</td>\n",
       "      <td>5</td>\n",
       "      <td>en</td>\n",
       "      <td>Great place and fantastic views.If you come wi...</td>\n",
       "      <td>Bom Jesus do Monte</td>\n",
       "      <td>Portugal</td>\n",
       "      <td>PT</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>89055</th>\n",
       "      <td>MAG093</td>\n",
       "      <td>2021-08-21 16:16:10.145</td>\n",
       "      <td>4.5</td>\n",
       "      <td>1</td>\n",
       "      <td>101</td>\n",
       "      <td>6805</td>\n",
       "      <td>LL517LL@LL517LL</td>\n",
       "      <td>Bruges, Belgium</td>\n",
       "      <td>434</td>\n",
       "      <td>Solo</td>\n",
       "      <td>2019-01-01</td>\n",
       "      <td>2018-10-01</td>\n",
       "      <td>5</td>\n",
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       "      <td>Took a day trip to Braga, while visiting Porto...</td>\n",
       "      <td>Bom Jesus do Monte</td>\n",
       "      <td>Portugal</td>\n",
       "      <td>PT</td>\n",
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       "<p>5559 rows × 18 columns</p>\n",
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      ],
      "text/plain": [
       "      localID          extractionDate  globalRating  positionOnRanking  \\\n",
       "29827  MAG010 2021-08-20 13:10:44.095           4.0                  6   \n",
       "29828  MAG010 2021-08-20 13:10:44.126           4.0                  6   \n",
       "29829  MAG010 2021-08-20 13:10:44.173           4.0                  6   \n",
       "29830  MAG010 2021-08-20 13:10:44.204           4.0                  6   \n",
       "29831  MAG010 2021-08-20 13:10:44.257           4.0                  6   \n",
       "...       ...                     ...           ...                ...   \n",
       "89051  MAG093 2021-08-21 16:16:09.740           4.5                  1   \n",
       "89052  MAG093 2021-08-21 16:16:09.846           4.5                  1   \n",
       "89053  MAG093 2021-08-21 16:16:09.952           4.5                  1   \n",
       "89054  MAG093 2021-08-21 16:16:10.049           4.5                  1   \n",
       "89055  MAG093 2021-08-21 16:16:10.145           4.5                  1   \n",
       "\n",
       "       sitesOnRanking  totalReviews                       userName  \\\n",
       "29827             726         36979                Barbs25@Barbs25   \n",
       "29828             726         36979                    WWH47@WWH47   \n",
       "29829             726         36979      Runawayblond@runawayblond   \n",
       "29830             726         36979        Darren H@DarrenHumphrey   \n",
       "29831             726         36979              Kevin S@kevins684   \n",
       "...               ...           ...                            ...   \n",
       "89051             101          6805                 JAFL@Joao-Jafl   \n",
       "89052             101          6805              Loveitta@Loveitta   \n",
       "89053             101          6805                Kaytd60@Kaytd60   \n",
       "89054             101          6805  BlueSkyTravell@BlueSkyTravell   \n",
       "89055             101          6805                LL517LL@LL517LL   \n",
       "\n",
       "                userLocation  userContributions tripType reviewWritten  \\\n",
       "29827      Staffordshire, UK               2273  Friends    2021-08-11   \n",
       "29828        Baton Rouge, LA                121      nan    2021-08-02   \n",
       "29829            Chicago, IL                217     Solo    2021-07-26   \n",
       "29830            Orlando, FL                298      nan    2021-07-24   \n",
       "29831         Pontypridd, UK               4550      nan    2021-07-23   \n",
       "...                      ...                ...      ...           ...   \n",
       "89051        Braga, Portugal                 17     Solo    2019-02-12   \n",
       "89052         Manchester, UK                 24     Solo    2019-01-17   \n",
       "89053    Adelaide, Australia                 33      nan    2019-01-15   \n",
       "89054  Obertshausen, Germany                 18   Family    2019-01-03   \n",
       "89055        Bruges, Belgium                434     Solo    2019-01-01   \n",
       "\n",
       "      reviewVisited  reviewRating reviewLanguage  \\\n",
       "29827    2021-07-01             3             en   \n",
       "29828    2021-07-01             5             en   \n",
       "29829    2021-06-01             4             en   \n",
       "29830    2021-06-01             5             en   \n",
       "29831    2021-07-01             4             en   \n",
       "...             ...           ...            ...   \n",
       "89051    2019-01-01             5             en   \n",
       "89052    2019-01-01             5             en   \n",
       "89053    2018-09-01             5             en   \n",
       "89054    2019-01-01             5             en   \n",
       "89055    2018-10-01             5             en   \n",
       "\n",
       "                                          reviewFullText                Name  \\\n",
       "29827  Not blown away by it but nice enough to look a...      Torre de Belém   \n",
       "29828  Well worth the visit in the Belem portion of t...      Torre de Belém   \n",
       "29829  Really cool! Sadly it was closed to explore be...      Torre de Belém   \n",
       "29830  What visit to Lisbon is complete without at le...      Torre de Belém   \n",
       "29831  A 16th century tower, ornately built so seemin...      Torre de Belém   \n",
       "...                                                  ...                 ...   \n",
       "89051  Excelente place for walk or running with amazi...  Bom Jesus do Monte   \n",
       "89052  I'm so happy that i visited this amazing churc...  Bom Jesus do Monte   \n",
       "89053  We took the local bus up to Bom Jesus do Monte...  Bom Jesus do Monte   \n",
       "89054  Great place and fantastic views.If you come wi...  Bom Jesus do Monte   \n",
       "89055  Took a day trip to Braga, while visiting Porto...  Bom Jesus do Monte   \n",
       "\n",
       "        Country ISO  \n",
       "29827  Portugal  PT  \n",
       "29828  Portugal  PT  \n",
       "29829  Portugal  PT  \n",
       "29830  Portugal  PT  \n",
       "29831  Portugal  PT  \n",
       "...         ...  ..  \n",
       "89051  Portugal  PT  \n",
       "89052  Portugal  PT  \n",
       "89053  Portugal  PT  \n",
       "89054  Portugal  PT  \n",
       "89055  Portugal  PT  \n",
       "\n",
       "[5559 rows x 18 columns]"
      ]
     },
     "execution_count": 36,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df = pd.DataFrame(ds_com)\n",
    "# Filter the DataFrame to only include rows where the \"Country\" column is not equal to \"Portugal\"\n",
    "filtered_df = df[df['Country'] !='Portugal']\n",
    "# drop the rows\n",
    "df.drop(filtered_df.index, inplace=True)\n",
    "df"
   ]
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   "execution_count": 37,
   "id": "a994b05e-ea4e-49c8-9ff2-e766c948a6f1",
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       "      <td>36979.0</td>\n",
       "      <td>36979.0</td>\n",
       "      <td>9246.44892</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>userName</th>\n",
       "      <td>5559</td>\n",
       "      <td>3957</td>\n",
       "      <td>DianeER@DianeER</td>\n",
       "      <td>7</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>userLocation</th>\n",
       "      <td>5559</td>\n",
       "      <td>1694</td>\n",
       "      <td>nan</td>\n",
       "      <td>682</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>userContributions</th>\n",
       "      <td>5559.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>677.842777</td>\n",
       "      <td>1.0</td>\n",
       "      <td>28.0</td>\n",
       "      <td>97.0</td>\n",
       "      <td>308.0</td>\n",
       "      <td>165905.0</td>\n",
       "      <td>5228.399822</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>tripType</th>\n",
       "      <td>5559</td>\n",
       "      <td>6</td>\n",
       "      <td>Couples</td>\n",
       "      <td>2099</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>reviewWritten</th>\n",
       "      <td>5559</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>2019-08-23 04:30:57.312466176</td>\n",
       "      <td>2019-01-01 00:00:00</td>\n",
       "      <td>2019-05-04 00:00:00</td>\n",
       "      <td>2019-08-02 00:00:00</td>\n",
       "      <td>2019-10-30 00:00:00</td>\n",
       "      <td>2021-08-19 00:00:00</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>reviewVisited</th>\n",
       "      <td>5559</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>2019-07-09 16:09:03.982730496</td>\n",
       "      <td>2017-10-01 00:00:00</td>\n",
       "      <td>2019-04-01 00:00:00</td>\n",
       "      <td>2019-07-01 00:00:00</td>\n",
       "      <td>2019-10-01 00:00:00</td>\n",
       "      <td>2021-08-01 00:00:00</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>reviewRating</th>\n",
       "      <td>5559.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>4.43587</td>\n",
       "      <td>1.0</td>\n",
       "      <td>4.0</td>\n",
       "      <td>5.0</td>\n",
       "      <td>5.0</td>\n",
       "      <td>5.0</td>\n",
       "      <td>0.847799</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>reviewLanguage</th>\n",
       "      <td>5559</td>\n",
       "      <td>1</td>\n",
       "      <td>en</td>\n",
       "      <td>5559</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>reviewFullText</th>\n",
       "      <td>5559</td>\n",
       "      <td>5289</td>\n",
       "      <td>Porto river is spanned by many bridges but thi...</td>\n",
       "      <td>2</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Name</th>\n",
       "      <td>5559</td>\n",
       "      <td>7</td>\n",
       "      <td>Torre de Belém</td>\n",
       "      <td>1397</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Country</th>\n",
       "      <td>5559</td>\n",
       "      <td>1</td>\n",
       "      <td>Portugal</td>\n",
       "      <td>5559</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>ISO</th>\n",
       "      <td>5559</td>\n",
       "      <td>1</td>\n",
       "      <td>PT</td>\n",
       "      <td>5559</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "                    count unique  \\\n",
       "localID              5559      7   \n",
       "extractionDate       5559    NaN   \n",
       "globalRating       5559.0    NaN   \n",
       "positionOnRanking  5559.0    NaN   \n",
       "sitesOnRanking     5559.0    NaN   \n",
       "totalReviews       5559.0    NaN   \n",
       "userName             5559   3957   \n",
       "userLocation         5559   1694   \n",
       "userContributions  5559.0    NaN   \n",
       "tripType             5559      6   \n",
       "reviewWritten        5559    NaN   \n",
       "reviewVisited        5559    NaN   \n",
       "reviewRating       5559.0    NaN   \n",
       "reviewLanguage       5559      1   \n",
       "reviewFullText       5559   5289   \n",
       "Name                 5559      7   \n",
       "Country              5559      1   \n",
       "ISO                  5559      1   \n",
       "\n",
       "                                                                 top  freq  \\\n",
       "localID                                                       MAG010  1397   \n",
       "extractionDate                                                   NaN   NaN   \n",
       "globalRating                                                     NaN   NaN   \n",
       "positionOnRanking                                                NaN   NaN   \n",
       "sitesOnRanking                                                   NaN   NaN   \n",
       "totalReviews                                                     NaN   NaN   \n",
       "userName                                             DianeER@DianeER     7   \n",
       "userLocation                                                     nan   682   \n",
       "userContributions                                                NaN   NaN   \n",
       "tripType                                                     Couples  2099   \n",
       "reviewWritten                                                    NaN   NaN   \n",
       "reviewVisited                                                    NaN   NaN   \n",
       "reviewRating                                                     NaN   NaN   \n",
       "reviewLanguage                                                    en  5559   \n",
       "reviewFullText     Porto river is spanned by many bridges but thi...     2   \n",
       "Name                                                  Torre de Belém  1397   \n",
       "Country                                                     Portugal  5559   \n",
       "ISO                                                               PT  5559   \n",
       "\n",
       "                                            mean                         min  \\\n",
       "localID                                      NaN                         NaN   \n",
       "extractionDate     2021-08-20 22:26:44.362572800  2021-08-20 13:10:44.095000   \n",
       "globalRating                            4.427865                         4.0   \n",
       "positionOnRanking                       2.953589                         1.0   \n",
       "sitesOnRanking                        434.540025                        71.0   \n",
       "totalReviews                        25336.923188                      6805.0   \n",
       "userName                                     NaN                         NaN   \n",
       "userLocation                                 NaN                         NaN   \n",
       "userContributions                     677.842777                         1.0   \n",
       "tripType                                     NaN                         NaN   \n",
       "reviewWritten      2019-08-23 04:30:57.312466176         2019-01-01 00:00:00   \n",
       "reviewVisited      2019-07-09 16:09:03.982730496         2017-10-01 00:00:00   \n",
       "reviewRating                             4.43587                         1.0   \n",
       "reviewLanguage                               NaN                         NaN   \n",
       "reviewFullText                               NaN                         NaN   \n",
       "Name                                         NaN                         NaN   \n",
       "Country                                      NaN                         NaN   \n",
       "ISO                                          NaN                         NaN   \n",
       "\n",
       "                                             25%                         50%  \\\n",
       "localID                                      NaN                         NaN   \n",
       "extractionDate     2021-08-20 13:24:45.713499904  2021-08-20 15:45:21.684000   \n",
       "globalRating                                 4.0                         4.5   \n",
       "positionOnRanking                            1.0                         3.0   \n",
       "sitesOnRanking                              71.0                       355.0   \n",
       "totalReviews                             18392.0                     24454.0   \n",
       "userName                                     NaN                         NaN   \n",
       "userLocation                                 NaN                         NaN   \n",
       "userContributions                           28.0                        97.0   \n",
       "tripType                                     NaN                         NaN   \n",
       "reviewWritten                2019-05-04 00:00:00         2019-08-02 00:00:00   \n",
       "reviewVisited                2019-04-01 00:00:00         2019-07-01 00:00:00   \n",
       "reviewRating                                 4.0                         5.0   \n",
       "reviewLanguage                               NaN                         NaN   \n",
       "reviewFullText                               NaN                         NaN   \n",
       "Name                                         NaN                         NaN   \n",
       "Country                                      NaN                         NaN   \n",
       "ISO                                          NaN                         NaN   \n",
       "\n",
       "                                             75%                         max  \\\n",
       "localID                                      NaN                         NaN   \n",
       "extractionDate     2021-08-21 10:30:06.986999808  2021-08-21 16:16:10.145000   \n",
       "globalRating                                 4.5                         5.0   \n",
       "positionOnRanking                            6.0                         6.0   \n",
       "sitesOnRanking                             726.0                       726.0   \n",
       "totalReviews                             36979.0                     36979.0   \n",
       "userName                                     NaN                         NaN   \n",
       "userLocation                                 NaN                         NaN   \n",
       "userContributions                          308.0                    165905.0   \n",
       "tripType                                     NaN                         NaN   \n",
       "reviewWritten                2019-10-30 00:00:00         2021-08-19 00:00:00   \n",
       "reviewVisited                2019-10-01 00:00:00         2021-08-01 00:00:00   \n",
       "reviewRating                                 5.0                         5.0   \n",
       "reviewLanguage                               NaN                         NaN   \n",
       "reviewFullText                               NaN                         NaN   \n",
       "Name                                         NaN                         NaN   \n",
       "Country                                      NaN                         NaN   \n",
       "ISO                                          NaN                         NaN   \n",
       "\n",
       "                           std  \n",
       "localID                    NaN  \n",
       "extractionDate             NaN  \n",
       "globalRating           0.29051  \n",
       "positionOnRanking     1.918266  \n",
       "sitesOnRanking      285.211268  \n",
       "totalReviews        9246.44892  \n",
       "userName                   NaN  \n",
       "userLocation               NaN  \n",
       "userContributions  5228.399822  \n",
       "tripType                   NaN  \n",
       "reviewWritten              NaN  \n",
       "reviewVisited              NaN  \n",
       "reviewRating          0.847799  \n",
       "reviewLanguage             NaN  \n",
       "reviewFullText             NaN  \n",
       "Name                       NaN  \n",
       "Country                    NaN  \n",
       "ISO                        NaN  "
      ]
     },
     "execution_count": 37,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df.describe(include='all',datetime_is_numeric=True).T"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 38,
   "id": "d3e74a8d-db6c-4305-9c97-d5631d308eea",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "Torre de Belém                      1397\n",
       "Mosteiro dos Jeronimos              1130\n",
       "Park and National Palace of Pena    1007\n",
       "Ponte de Dom Luís I                  967\n",
       "Quinta da Regaleira                  595\n",
       "Cais da Ribeira                      304\n",
       "Bom Jesus do Monte                   159\n",
       "Name: Name, dtype: int64"
      ]
     },
     "execution_count": 38,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "#Check Name Attraction cordinality\n",
    "Nameattcount = df['Name'].value_counts()\n",
    "Nameattcount"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 39,
   "id": "645c45f3-dc27-4275-bcac-bbdc788c1e70",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "Portugal    5559\n",
       "Name: Country, dtype: int64"
      ]
     },
     "execution_count": 39,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "#Check Country Attraction cordinality\n",
    "Countryattcount = df['Country'].value_counts()\n",
    "Countryattcount"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 40,
   "id": "b519526d",
   "metadata": {},
   "outputs": [],
   "source": [
    "### Customer-item matrix\n",
    "NameattuserNameMatrix = df.pivot_table(\n",
    "                    index='userName',\n",
    "                    columns='Name',\n",
    "                    values='reviewRating',\n",
    "                    aggfunc=lambda x: 1 if len(x)>0 else 0).fillna(0)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 41,
   "id": "81899cba",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "<class 'pandas.core.frame.DataFrame'>\n",
      "Index: 3957 entries, 007JNR@007JNR to 桂子 大@_T2961PL\n",
      "Data columns (total 7 columns):\n",
      " #   Column                            Non-Null Count  Dtype  \n",
      "---  ------                            --------------  -----  \n",
      " 0   Bom Jesus do Monte                3957 non-null   float64\n",
      " 1   Cais da Ribeira                   3957 non-null   float64\n",
      " 2   Mosteiro dos Jeronimos            3957 non-null   float64\n",
      " 3   Park and National Palace of Pena  3957 non-null   float64\n",
      " 4   Ponte de Dom Luís I               3957 non-null   float64\n",
      " 5   Quinta da Regaleira               3957 non-null   float64\n",
      " 6   Torre de Belém                    3957 non-null   float64\n",
      "dtypes: float64(7)\n",
      "memory usage: 247.3+ KB\n"
     ]
    }
   ],
   "source": [
    "NameattuserNameMatrix.info()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 42,
   "id": "741513b2",
   "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>Name</th>\n",
       "      <th>Bom Jesus do Monte</th>\n",
       "      <th>Cais da Ribeira</th>\n",
       "      <th>Mosteiro dos Jeronimos</th>\n",
       "      <th>Park and National Palace of Pena</th>\n",
       "      <th>Ponte de Dom Luís I</th>\n",
       "      <th>Quinta da Regaleira</th>\n",
       "      <th>Torre de Belém</th>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>userName</th>\n",
       "      <th></th>\n",
       "      <th></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>007JNR@007JNR</th>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>0Garza@0Garza</th>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>101eggie@101eggie</th>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1104@1104</th>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>110Helen2014@110Helen2014</th>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "Name                       Bom Jesus do Monte  Cais da Ribeira  \\\n",
       "userName                                                         \n",
       "007JNR@007JNR                             0.0              0.0   \n",
       "0Garza@0Garza                             0.0              0.0   \n",
       "101eggie@101eggie                         0.0              0.0   \n",
       "1104@1104                                 0.0              0.0   \n",
       "110Helen2014@110Helen2014                 0.0              0.0   \n",
       "\n",
       "Name                       Mosteiro dos Jeronimos  \\\n",
       "userName                                            \n",
       "007JNR@007JNR                                 0.0   \n",
       "0Garza@0Garza                                 1.0   \n",
       "101eggie@101eggie                             0.0   \n",
       "1104@1104                                     1.0   \n",
       "110Helen2014@110Helen2014                     1.0   \n",
       "\n",
       "Name                       Park and National Palace of Pena  \\\n",
       "userName                                                      \n",
       "007JNR@007JNR                                           0.0   \n",
       "0Garza@0Garza                                           1.0   \n",
       "101eggie@101eggie                                       1.0   \n",
       "1104@1104                                               0.0   \n",
       "110Helen2014@110Helen2014                               0.0   \n",
       "\n",
       "Name                       Ponte de Dom Luís I  Quinta da Regaleira  \\\n",
       "userName                                                              \n",
       "007JNR@007JNR                              0.0                  0.0   \n",
       "0Garza@0Garza                              0.0                  0.0   \n",
       "101eggie@101eggie                          0.0                  0.0   \n",
       "1104@1104                                  0.0                  0.0   \n",
       "110Helen2014@110Helen2014                  0.0                  0.0   \n",
       "\n",
       "Name                       Torre de Belém  \n",
       "userName                                   \n",
       "007JNR@007JNR                         1.0  \n",
       "0Garza@0Garza                         1.0  \n",
       "101eggie@101eggie                     0.0  \n",
       "1104@1104                             0.0  \n",
       "110Helen2014@110Helen2014             0.0  "
      ]
     },
     "execution_count": 42,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# See matrix for one specific attraction\n",
    "NameattuserNameMatrix.head()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 43,
   "id": "503e4b7b-2349-484e-86e7-3d1542863f42",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x288 with 2 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "sns.heatmap(NameattuserNameMatrix, cmap='YlGnBu')\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 44,
   "id": "23f38859",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "(3957, 7)"
      ]
     },
     "execution_count": 44,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# Shape of the matrix\n",
    "NameattuserNameMatrix.shape"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "3654ee1b",
   "metadata": {},
   "source": [
    "## Customer based recommendations\n",
    " ### Based on similar costumers' attractions visits"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 45,
   "id": "613b1fac",
   "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>userName</th>\n",
       "      <th>007JNR@007JNR</th>\n",
       "      <th>0Garza@0Garza</th>\n",
       "      <th>101eggie@101eggie</th>\n",
       "      <th>1104@1104</th>\n",
       "      <th>110Helen2014@110Helen2014</th>\n",
       "      <th>110randn@110randn</th>\n",
       "      <th>1234texas@1234texas</th>\n",
       "      <th>13playaazul@13playaazul</th>\n",
       "      <th>1527holiday1011@1527holiday1011</th>\n",
       "      <th>157nk@157nk</th>\n",
       "      <th>...</th>\n",
       "      <th>zoeh198@zoeh198</th>\n",
       "      <th>zubenel57@zubenel57</th>\n",
       "      <th>zuni P@zunip</th>\n",
       "      <th>zylig@zylig</th>\n",
       "      <th>Ανδρόνικος Γκιουμές@T1025ZU_</th>\n",
       "      <th>Екатерина Г@_C5261QZ</th>\n",
       "      <th>Олександр П@X5628EZ_</th>\n",
       "      <th>Симеон Б@FrequentFlier415125</th>\n",
       "      <th>יוסי מ@K454TO_</th>\n",
       "      <th>桂子 大@_T2961PL</th>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>userName</th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></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>007JNR@007JNR</th>\n",
       "      <td>1.000000</td>\n",
       "      <td>0.577350</td>\n",
       "      <td>0.00000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.00000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>...</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.00000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.00000</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.707107</td>\n",
       "      <td>0.00000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>1.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>0Garza@0Garza</th>\n",
       "      <td>0.577350</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>0.57735</td>\n",
       "      <td>0.577350</td>\n",
       "      <td>0.577350</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.00000</td>\n",
       "      <td>0.577350</td>\n",
       "      <td>0.408248</td>\n",
       "      <td>0.577350</td>\n",
       "      <td>...</td>\n",
       "      <td>0.408248</td>\n",
       "      <td>0.57735</td>\n",
       "      <td>0.816497</td>\n",
       "      <td>0.577350</td>\n",
       "      <td>0.00000</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.816497</td>\n",
       "      <td>0.57735</td>\n",
       "      <td>0.333333</td>\n",
       "      <td>0.577350</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>101eggie@101eggie</th>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.577350</td>\n",
       "      <td>1.00000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.00000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.707107</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>...</td>\n",
       "      <td>0.707107</td>\n",
       "      <td>1.00000</td>\n",
       "      <td>0.707107</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.00000</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>1.00000</td>\n",
       "      <td>0.577350</td>\n",
       "      <td>0.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1104@1104</th>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.577350</td>\n",
       "      <td>0.00000</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.00000</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>...</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.00000</td>\n",
       "      <td>0.707107</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>0.00000</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.707107</td>\n",
       "      <td>0.00000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>110Helen2014@110Helen2014</th>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.577350</td>\n",
       "      <td>0.00000</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.00000</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>...</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.00000</td>\n",
       "      <td>0.707107</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>0.00000</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.707107</td>\n",
       "      <td>0.00000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</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",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Екатерина Г@_C5261QZ</th>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.00000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.00000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.707107</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>...</td>\n",
       "      <td>0.707107</td>\n",
       "      <td>0.00000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.00000</td>\n",
       "      <td>1.0</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.00000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Олександр П@X5628EZ_</th>\n",
       "      <td>0.707107</td>\n",
       "      <td>0.816497</td>\n",
       "      <td>0.00000</td>\n",
       "      <td>0.707107</td>\n",
       "      <td>0.707107</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.00000</td>\n",
       "      <td>0.707107</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.707107</td>\n",
       "      <td>...</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.00000</td>\n",
       "      <td>0.500000</td>\n",
       "      <td>0.707107</td>\n",
       "      <td>0.00000</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>0.00000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.707107</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Симеон Б@FrequentFlier415125</th>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.577350</td>\n",
       "      <td>1.00000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.00000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.707107</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>...</td>\n",
       "      <td>0.707107</td>\n",
       "      <td>1.00000</td>\n",
       "      <td>0.707107</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.00000</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>1.00000</td>\n",
       "      <td>0.577350</td>\n",
       "      <td>0.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>יוסי מ@K454TO_</th>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.333333</td>\n",
       "      <td>0.57735</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.57735</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.408248</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>...</td>\n",
       "      <td>0.408248</td>\n",
       "      <td>0.57735</td>\n",
       "      <td>0.408248</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.57735</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.57735</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>0.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>桂子 大@_T2961PL</th>\n",
       "      <td>1.000000</td>\n",
       "      <td>0.577350</td>\n",
       "      <td>0.00000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.00000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>...</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.00000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.00000</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.707107</td>\n",
       "      <td>0.00000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>1.000000</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>3957 rows × 3957 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "userName                      007JNR@007JNR  0Garza@0Garza  101eggie@101eggie  \\\n",
       "userName                                                                        \n",
       "007JNR@007JNR                      1.000000       0.577350            0.00000   \n",
       "0Garza@0Garza                      0.577350       1.000000            0.57735   \n",
       "101eggie@101eggie                  0.000000       0.577350            1.00000   \n",
       "1104@1104                          0.000000       0.577350            0.00000   \n",
       "110Helen2014@110Helen2014          0.000000       0.577350            0.00000   \n",
       "...                                     ...            ...                ...   \n",
       "Екатерина Г@_C5261QZ               0.000000       0.000000            0.00000   \n",
       "Олександр П@X5628EZ_               0.707107       0.816497            0.00000   \n",
       "Симеон Б@FrequentFlier415125       0.000000       0.577350            1.00000   \n",
       "יוסי מ@K454TO_                     0.000000       0.333333            0.57735   \n",
       "桂子 大@_T2961PL                      1.000000       0.577350            0.00000   \n",
       "\n",
       "userName                      1104@1104  110Helen2014@110Helen2014  \\\n",
       "userName                                                             \n",
       "007JNR@007JNR                  0.000000                   0.000000   \n",
       "0Garza@0Garza                  0.577350                   0.577350   \n",
       "101eggie@101eggie              0.000000                   0.000000   \n",
       "1104@1104                      1.000000                   1.000000   \n",
       "110Helen2014@110Helen2014      1.000000                   1.000000   \n",
       "...                                 ...                        ...   \n",
       "Екатерина Г@_C5261QZ           0.000000                   0.000000   \n",
       "Олександр П@X5628EZ_           0.707107                   0.707107   \n",
       "Симеон Б@FrequentFlier415125   0.000000                   0.000000   \n",
       "יוסי מ@K454TO_                 0.000000                   0.000000   \n",
       "桂子 大@_T2961PL                  0.000000                   0.000000   \n",
       "\n",
       "userName                      110randn@110randn  1234texas@1234texas  \\\n",
       "userName                                                               \n",
       "007JNR@007JNR                               0.0              0.00000   \n",
       "0Garza@0Garza                               0.0              0.00000   \n",
       "101eggie@101eggie                           0.0              0.00000   \n",
       "1104@1104                                   0.0              0.00000   \n",
       "110Helen2014@110Helen2014                   0.0              0.00000   \n",
       "...                                         ...                  ...   \n",
       "Екатерина Г@_C5261QZ                        0.0              0.00000   \n",
       "Олександр П@X5628EZ_                        0.0              0.00000   \n",
       "Симеон Б@FrequentFlier415125                0.0              0.00000   \n",
       "יוסי מ@K454TO_                              0.0              0.57735   \n",
       "桂子 大@_T2961PL                               0.0              0.00000   \n",
       "\n",
       "userName                      13playaazul@13playaazul  \\\n",
       "userName                                                \n",
       "007JNR@007JNR                                0.000000   \n",
       "0Garza@0Garza                                0.577350   \n",
       "101eggie@101eggie                            0.000000   \n",
       "1104@1104                                    1.000000   \n",
       "110Helen2014@110Helen2014                    1.000000   \n",
       "...                                               ...   \n",
       "Екатерина Г@_C5261QZ                         0.000000   \n",
       "Олександр П@X5628EZ_                         0.707107   \n",
       "Симеон Б@FrequentFlier415125                 0.000000   \n",
       "יוסי מ@K454TO_                               0.000000   \n",
       "桂子 大@_T2961PL                                0.000000   \n",
       "\n",
       "userName                      1527holiday1011@1527holiday1011  157nk@157nk  \\\n",
       "userName                                                                     \n",
       "007JNR@007JNR                                        0.000000     0.000000   \n",
       "0Garza@0Garza                                        0.408248     0.577350   \n",
       "101eggie@101eggie                                    0.707107     0.000000   \n",
       "1104@1104                                            0.000000     1.000000   \n",
       "110Helen2014@110Helen2014                            0.000000     1.000000   \n",
       "...                                                       ...          ...   \n",
       "Екатерина Г@_C5261QZ                                 0.707107     0.000000   \n",
       "Олександр П@X5628EZ_                                 0.000000     0.707107   \n",
       "Симеон Б@FrequentFlier415125                         0.707107     0.000000   \n",
       "יוסי מ@K454TO_                                       0.408248     0.000000   \n",
       "桂子 大@_T2961PL                                        0.000000     0.000000   \n",
       "\n",
       "userName                      ...  zoeh198@zoeh198  zubenel57@zubenel57  \\\n",
       "userName                      ...                                         \n",
       "007JNR@007JNR                 ...         0.000000              0.00000   \n",
       "0Garza@0Garza                 ...         0.408248              0.57735   \n",
       "101eggie@101eggie             ...         0.707107              1.00000   \n",
       "1104@1104                     ...         0.000000              0.00000   \n",
       "110Helen2014@110Helen2014     ...         0.000000              0.00000   \n",
       "...                           ...              ...                  ...   \n",
       "Екатерина Г@_C5261QZ          ...         0.707107              0.00000   \n",
       "Олександр П@X5628EZ_          ...         0.000000              0.00000   \n",
       "Симеон Б@FrequentFlier415125  ...         0.707107              1.00000   \n",
       "יוסי מ@K454TO_                ...         0.408248              0.57735   \n",
       "桂子 大@_T2961PL                 ...         0.000000              0.00000   \n",
       "\n",
       "userName                      zuni P@zunip  zylig@zylig  \\\n",
       "userName                                                  \n",
       "007JNR@007JNR                     0.000000     0.000000   \n",
       "0Garza@0Garza                     0.816497     0.577350   \n",
       "101eggie@101eggie                 0.707107     0.000000   \n",
       "1104@1104                         0.707107     1.000000   \n",
       "110Helen2014@110Helen2014         0.707107     1.000000   \n",
       "...                                    ...          ...   \n",
       "Екатерина Г@_C5261QZ              0.000000     0.000000   \n",
       "Олександр П@X5628EZ_              0.500000     0.707107   \n",
       "Симеон Б@FrequentFlier415125      0.707107     0.000000   \n",
       "יוסי מ@K454TO_                    0.408248     0.000000   \n",
       "桂子 大@_T2961PL                     0.000000     0.000000   \n",
       "\n",
       "userName                      Ανδρόνικος Γκιουμές@T1025ZU_  \\\n",
       "userName                                                     \n",
       "007JNR@007JNR                                      0.00000   \n",
       "0Garza@0Garza                                      0.00000   \n",
       "101eggie@101eggie                                  0.00000   \n",
       "1104@1104                                          0.00000   \n",
       "110Helen2014@110Helen2014                          0.00000   \n",
       "...                                                    ...   \n",
       "Екатерина Г@_C5261QZ                               0.00000   \n",
       "Олександр П@X5628EZ_                               0.00000   \n",
       "Симеон Б@FrequentFlier415125                       0.00000   \n",
       "יוסי מ@K454TO_                                     0.57735   \n",
       "桂子 大@_T2961PL                                      0.00000   \n",
       "\n",
       "userName                      Екатерина Г@_C5261QZ  Олександр П@X5628EZ_  \\\n",
       "userName                                                                   \n",
       "007JNR@007JNR                                  0.0              0.707107   \n",
       "0Garza@0Garza                                  0.0              0.816497   \n",
       "101eggie@101eggie                              0.0              0.000000   \n",
       "1104@1104                                      0.0              0.707107   \n",
       "110Helen2014@110Helen2014                      0.0              0.707107   \n",
       "...                                            ...                   ...   \n",
       "Екатерина Г@_C5261QZ                           1.0              0.000000   \n",
       "Олександр П@X5628EZ_                           0.0              1.000000   \n",
       "Симеон Б@FrequentFlier415125                   0.0              0.000000   \n",
       "יוסי מ@K454TO_                                 0.0              0.000000   \n",
       "桂子 大@_T2961PL                                  0.0              0.707107   \n",
       "\n",
       "userName                      Симеон Б@FrequentFlier415125  יוסי מ@K454TO_  \\\n",
       "userName                                                                     \n",
       "007JNR@007JNR                                      0.00000        0.000000   \n",
       "0Garza@0Garza                                      0.57735        0.333333   \n",
       "101eggie@101eggie                                  1.00000        0.577350   \n",
       "1104@1104                                          0.00000        0.000000   \n",
       "110Helen2014@110Helen2014                          0.00000        0.000000   \n",
       "...                                                    ...             ...   \n",
       "Екатерина Г@_C5261QZ                               0.00000        0.000000   \n",
       "Олександр П@X5628EZ_                               0.00000        0.000000   \n",
       "Симеон Б@FrequentFlier415125                       1.00000        0.577350   \n",
       "יוסי מ@K454TO_                                     0.57735        1.000000   \n",
       "桂子 大@_T2961PL                                      0.00000        0.000000   \n",
       "\n",
       "userName                      桂子 大@_T2961PL  \n",
       "userName                                     \n",
       "007JNR@007JNR                      1.000000  \n",
       "0Garza@0Garza                      0.577350  \n",
       "101eggie@101eggie                  0.000000  \n",
       "1104@1104                          0.000000  \n",
       "110Helen2014@110Helen2014          0.000000  \n",
       "...                                     ...  \n",
       "Екатерина Г@_C5261QZ               0.000000  \n",
       "Олександр П@X5628EZ_               0.707107  \n",
       "Симеон Б@FrequentFlier415125       0.000000  \n",
       "יוסי מ@K454TO_                     0.000000  \n",
       "桂子 大@_T2961PL                      1.000000  \n",
       "\n",
       "[3957 rows x 3957 columns]"
      ]
     },
     "execution_count": 45,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# Create a customer to customer similarity matrix\n",
    "# Info on the \"cosine\" implementation https://docs.scipy.org/doc/scipy/reference/reference/generated/scipy.spatial.distance.cosine.html#scipy.spatial.distance.cosine\n",
    "userName_userName_sim_matrix = pd.DataFrame(\n",
    "    pairwise_distances(NameattuserNameMatrix,metric='cosine'),\n",
    "    columns = NameattuserNameMatrix.index,\n",
    "    index = NameattuserNameMatrix.index\n",
    ")\n",
    "userName_userName_sim_matrix = userName_userName_sim_matrix.apply(lambda x: 1-x, axis=1) # Transform dissimilarity to similarity\n",
    "userName_userName_sim_matrix"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 46,
   "id": "66d55838-b13b-48b7-ba58-c1e171e17b5a",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x288 with 2 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "sns.heatmap(userName_userName_sim_matrix, cmap='YlGnBu')\n",
    "plt.show()\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 47,
   "id": "1c9353cc",
   "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>userName</th>\n",
       "      <th>007JNR@007JNR</th>\n",
       "      <th>0Garza@0Garza</th>\n",
       "      <th>101eggie@101eggie</th>\n",
       "      <th>1104@1104</th>\n",
       "      <th>110Helen2014@110Helen2014</th>\n",
       "      <th>110randn@110randn</th>\n",
       "      <th>1234texas@1234texas</th>\n",
       "      <th>13playaazul@13playaazul</th>\n",
       "      <th>1527holiday1011@1527holiday1011</th>\n",
       "      <th>157nk@157nk</th>\n",
       "      <th>...</th>\n",
       "      <th>zoeh198@zoeh198</th>\n",
       "      <th>zubenel57@zubenel57</th>\n",
       "      <th>zuni P@zunip</th>\n",
       "      <th>zylig@zylig</th>\n",
       "      <th>Ανδρόνικος Γκιουμές@T1025ZU_</th>\n",
       "      <th>Екатерина Г@_C5261QZ</th>\n",
       "      <th>Олександр П@X5628EZ_</th>\n",
       "      <th>Симеон Б@FrequentFlier415125</th>\n",
       "      <th>יוסי מ@K454TO_</th>\n",
       "      <th>桂子 大@_T2961PL</th>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>userName</th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></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>007JNR@007JNR</th>\n",
       "      <td>1.00000</td>\n",
       "      <td>0.57735</td>\n",
       "      <td>0.00000</td>\n",
       "      <td>0.00000</td>\n",
       "      <td>0.00000</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.00000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.00000</td>\n",
       "      <td>...</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.00000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.00000</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.707107</td>\n",
       "      <td>0.00000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>1.00000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>0Garza@0Garza</th>\n",
       "      <td>0.57735</td>\n",
       "      <td>1.00000</td>\n",
       "      <td>0.57735</td>\n",
       "      <td>0.57735</td>\n",
       "      <td>0.57735</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.57735</td>\n",
       "      <td>0.408248</td>\n",
       "      <td>0.57735</td>\n",
       "      <td>...</td>\n",
       "      <td>0.408248</td>\n",
       "      <td>0.57735</td>\n",
       "      <td>0.816497</td>\n",
       "      <td>0.57735</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.816497</td>\n",
       "      <td>0.57735</td>\n",
       "      <td>0.333333</td>\n",
       "      <td>0.57735</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>101eggie@101eggie</th>\n",
       "      <td>0.00000</td>\n",
       "      <td>0.57735</td>\n",
       "      <td>1.00000</td>\n",
       "      <td>0.00000</td>\n",
       "      <td>0.00000</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.00000</td>\n",
       "      <td>0.707107</td>\n",
       "      <td>0.00000</td>\n",
       "      <td>...</td>\n",
       "      <td>0.707107</td>\n",
       "      <td>1.00000</td>\n",
       "      <td>0.707107</td>\n",
       "      <td>0.00000</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>1.00000</td>\n",
       "      <td>0.577350</td>\n",
       "      <td>0.00000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1104@1104</th>\n",
       "      <td>0.00000</td>\n",
       "      <td>0.57735</td>\n",
       "      <td>0.00000</td>\n",
       "      <td>1.00000</td>\n",
       "      <td>1.00000</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1.00000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>1.00000</td>\n",
       "      <td>...</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.00000</td>\n",
       "      <td>0.707107</td>\n",
       "      <td>1.00000</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.707107</td>\n",
       "      <td>0.00000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.00000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>110Helen2014@110Helen2014</th>\n",
       "      <td>0.00000</td>\n",
       "      <td>0.57735</td>\n",
       "      <td>0.00000</td>\n",
       "      <td>1.00000</td>\n",
       "      <td>1.00000</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1.00000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>1.00000</td>\n",
       "      <td>...</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.00000</td>\n",
       "      <td>0.707107</td>\n",
       "      <td>1.00000</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.707107</td>\n",
       "      <td>0.00000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.00000</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>5 rows × 3957 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "userName                   007JNR@007JNR  0Garza@0Garza  101eggie@101eggie  \\\n",
       "userName                                                                     \n",
       "007JNR@007JNR                    1.00000        0.57735            0.00000   \n",
       "0Garza@0Garza                    0.57735        1.00000            0.57735   \n",
       "101eggie@101eggie                0.00000        0.57735            1.00000   \n",
       "1104@1104                        0.00000        0.57735            0.00000   \n",
       "110Helen2014@110Helen2014        0.00000        0.57735            0.00000   \n",
       "\n",
       "userName                   1104@1104  110Helen2014@110Helen2014  \\\n",
       "userName                                                          \n",
       "007JNR@007JNR                0.00000                    0.00000   \n",
       "0Garza@0Garza                0.57735                    0.57735   \n",
       "101eggie@101eggie            0.00000                    0.00000   \n",
       "1104@1104                    1.00000                    1.00000   \n",
       "110Helen2014@110Helen2014    1.00000                    1.00000   \n",
       "\n",
       "userName                   110randn@110randn  1234texas@1234texas  \\\n",
       "userName                                                            \n",
       "007JNR@007JNR                            0.0                  0.0   \n",
       "0Garza@0Garza                            0.0                  0.0   \n",
       "101eggie@101eggie                        0.0                  0.0   \n",
       "1104@1104                                0.0                  0.0   \n",
       "110Helen2014@110Helen2014                0.0                  0.0   \n",
       "\n",
       "userName                   13playaazul@13playaazul  \\\n",
       "userName                                             \n",
       "007JNR@007JNR                              0.00000   \n",
       "0Garza@0Garza                              0.57735   \n",
       "101eggie@101eggie                          0.00000   \n",
       "1104@1104                                  1.00000   \n",
       "110Helen2014@110Helen2014                  1.00000   \n",
       "\n",
       "userName                   1527holiday1011@1527holiday1011  157nk@157nk  ...  \\\n",
       "userName                                                                 ...   \n",
       "007JNR@007JNR                                     0.000000      0.00000  ...   \n",
       "0Garza@0Garza                                     0.408248      0.57735  ...   \n",
       "101eggie@101eggie                                 0.707107      0.00000  ...   \n",
       "1104@1104                                         0.000000      1.00000  ...   \n",
       "110Helen2014@110Helen2014                         0.000000      1.00000  ...   \n",
       "\n",
       "userName                   zoeh198@zoeh198  zubenel57@zubenel57  zuni P@zunip  \\\n",
       "userName                                                                        \n",
       "007JNR@007JNR                     0.000000              0.00000      0.000000   \n",
       "0Garza@0Garza                     0.408248              0.57735      0.816497   \n",
       "101eggie@101eggie                 0.707107              1.00000      0.707107   \n",
       "1104@1104                         0.000000              0.00000      0.707107   \n",
       "110Helen2014@110Helen2014         0.000000              0.00000      0.707107   \n",
       "\n",
       "userName                   zylig@zylig  Ανδρόνικος Γκιουμές@T1025ZU_  \\\n",
       "userName                                                               \n",
       "007JNR@007JNR                  0.00000                           0.0   \n",
       "0Garza@0Garza                  0.57735                           0.0   \n",
       "101eggie@101eggie              0.00000                           0.0   \n",
       "1104@1104                      1.00000                           0.0   \n",
       "110Helen2014@110Helen2014      1.00000                           0.0   \n",
       "\n",
       "userName                   Екатерина Г@_C5261QZ  Олександр П@X5628EZ_  \\\n",
       "userName                                                                \n",
       "007JNR@007JNR                               0.0              0.707107   \n",
       "0Garza@0Garza                               0.0              0.816497   \n",
       "101eggie@101eggie                           0.0              0.000000   \n",
       "1104@1104                                   0.0              0.707107   \n",
       "110Helen2014@110Helen2014                   0.0              0.707107   \n",
       "\n",
       "userName                   Симеон Б@FrequentFlier415125  יוסי מ@K454TO_  \\\n",
       "userName                                                                  \n",
       "007JNR@007JNR                                   0.00000        0.000000   \n",
       "0Garza@0Garza                                   0.57735        0.333333   \n",
       "101eggie@101eggie                               1.00000        0.577350   \n",
       "1104@1104                                       0.00000        0.000000   \n",
       "110Helen2014@110Helen2014                       0.00000        0.000000   \n",
       "\n",
       "userName                   桂子 大@_T2961PL  \n",
       "userName                                  \n",
       "007JNR@007JNR                    1.00000  \n",
       "0Garza@0Garza                    0.57735  \n",
       "101eggie@101eggie                0.00000  \n",
       "1104@1104                        0.00000  \n",
       "110Helen2014@110Helen2014        0.00000  \n",
       "\n",
       "[5 rows x 3957 columns]"
      ]
     },
     "execution_count": 47,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# Check the matrix results\n",
    "userName_userName_sim_matrix.head()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 48,
   "id": "cb290e6b",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "userName\n",
       "Ronald M@RonaldM548              1.0\n",
       "cjdotheworld@cjdotheworld        1.0\n",
       "Chelly & Art@ChellArtseeworld    1.0\n",
       "B D@BD609                        1.0\n",
       "AgedMan@AgedMan                  1.0\n",
       "                                ... \n",
       "JB3@JohnBishop3                  0.0\n",
       "asr224@asr224                    0.0\n",
       "JAY@JIHAD40                      0.0\n",
       "Daniel A@danielaI6579BU          0.0\n",
       "Lily@Lilymack2                   0.0\n",
       "Name: 0Garza@0Garza, Length: 3957, dtype: float64"
      ]
     },
     "execution_count": 48,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# Similar userNames\n",
    "userName_userName_sim_matrix.loc['0Garza@0Garza'].sort_values(ascending=False)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 50,
   "id": "913cf661",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "{'Mosteiro dos Jeronimos',\n",
       " 'Park and National Palace of Pena',\n",
       " 'Torre de Belém'}"
      ]
     },
     "execution_count": 50,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# Check locals visited by tripType A\n",
    "nonZeroLocals = (NameattuserNameMatrix.loc['0Garza@0Garza'] !=0)\n",
    "userNameA_ranked_for_Nameatt = set(NameattuserNameMatrix.columns[nonZeroLocals])\n",
    "userNameA_ranked_for_Nameatt"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 51,
   "id": "e7ce36d1",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "{'Mosteiro dos Jeronimos'}"
      ]
     },
     "execution_count": 51,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# Check locals visited by tripType B\n",
    "nonZeroLocals = (NameattuserNameMatrix.loc['zylig@zylig'] !=0)\n",
    "userNameB_ranked_for_Nameatt = set(NameattuserNameMatrix.columns[nonZeroLocals])\n",
    "userNameB_ranked_for_Nameatt"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 52,
   "id": "47741e85",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "{'Park and National Palace of Pena', 'Torre de Belém'}"
      ]
     },
     "execution_count": 52,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# Local to recommend to tripType B\n",
    "userNameB_ranked_for_Nameatt = userNameA_ranked_for_Nameatt - userNameB_ranked_for_Nameatt\n",
    "userNameB_ranked_for_Nameatt"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 53,
   "id": "0bf9493f",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "<class 'pandas.core.frame.DataFrame'>\n",
      "Int64Index: 5559 entries, 29827 to 89055\n",
      "Data columns (total 18 columns):\n",
      " #   Column             Non-Null Count  Dtype         \n",
      "---  ------             --------------  -----         \n",
      " 0   localID            5559 non-null   object        \n",
      " 1   extractionDate     5559 non-null   datetime64[ns]\n",
      " 2   globalRating       5559 non-null   float64       \n",
      " 3   positionOnRanking  5559 non-null   int64         \n",
      " 4   sitesOnRanking     5559 non-null   int64         \n",
      " 5   totalReviews       5559 non-null   int64         \n",
      " 6   userName           5559 non-null   object        \n",
      " 7   userLocation       5559 non-null   object        \n",
      " 8   userContributions  5559 non-null   int64         \n",
      " 9   tripType           5559 non-null   object        \n",
      " 10  reviewWritten      5559 non-null   datetime64[ns]\n",
      " 11  reviewVisited      5559 non-null   datetime64[ns]\n",
      " 12  reviewRating       5559 non-null   int64         \n",
      " 13  reviewLanguage     5559 non-null   object        \n",
      " 14  reviewFullText     5559 non-null   object        \n",
      " 15  Name               5559 non-null   object        \n",
      " 16  Country            5559 non-null   object        \n",
      " 17  ISO                5559 non-null   object        \n",
      "dtypes: datetime64[ns](3), float64(1), int64(5), object(9)\n",
      "memory usage: 825.2+ KB\n"
     ]
    }
   ],
   "source": [
    "df.info()\n"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "3fb19148",
   "metadata": {},
   "source": [
    "## Based on tripType Similarity"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 54,
   "id": "5f40ac8f",
   "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>Name</th>\n",
       "      <th>Bom Jesus do Monte</th>\n",
       "      <th>Cais da Ribeira</th>\n",
       "      <th>Mosteiro dos Jeronimos</th>\n",
       "      <th>Park and National Palace of Pena</th>\n",
       "      <th>Ponte de Dom Luís I</th>\n",
       "      <th>Quinta da Regaleira</th>\n",
       "      <th>Torre de Belém</th>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Name</th>\n",
       "      <th></th>\n",
       "      <th></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>Bom Jesus do Monte</th>\n",
       "      <td>1.000000</td>\n",
       "      <td>0.084545</td>\n",
       "      <td>0.031402</td>\n",
       "      <td>0.046452</td>\n",
       "      <td>0.068976</td>\n",
       "      <td>0.028705</td>\n",
       "      <td>0.036116</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Cais da Ribeira</th>\n",
       "      <td>0.084545</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>0.069234</td>\n",
       "      <td>0.066873</td>\n",
       "      <td>0.317380</td>\n",
       "      <td>0.037973</td>\n",
       "      <td>0.070072</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Mosteiro dos Jeronimos</th>\n",
       "      <td>0.031402</td>\n",
       "      <td>0.069234</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>0.165475</td>\n",
       "      <td>0.064712</td>\n",
       "      <td>0.103650</td>\n",
       "      <td>0.339378</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Park and National Palace of Pena</th>\n",
       "      <td>0.046452</td>\n",
       "      <td>0.066873</td>\n",
       "      <td>0.165475</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>0.057764</td>\n",
       "      <td>0.331217</td>\n",
       "      <td>0.151378</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Ponte de Dom Luís I</th>\n",
       "      <td>0.068976</td>\n",
       "      <td>0.317380</td>\n",
       "      <td>0.064712</td>\n",
       "      <td>0.057764</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>0.037210</td>\n",
       "      <td>0.071065</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Quinta da Regaleira</th>\n",
       "      <td>0.028705</td>\n",
       "      <td>0.037973</td>\n",
       "      <td>0.103650</td>\n",
       "      <td>0.331217</td>\n",
       "      <td>0.037210</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>0.104560</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Torre de Belém</th>\n",
       "      <td>0.036116</td>\n",
       "      <td>0.070072</td>\n",
       "      <td>0.339378</td>\n",
       "      <td>0.151378</td>\n",
       "      <td>0.071065</td>\n",
       "      <td>0.104560</td>\n",
       "      <td>1.000000</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "Name                              Bom Jesus do Monte  Cais da Ribeira  \\\n",
       "Name                                                                    \n",
       "Bom Jesus do Monte                          1.000000         0.084545   \n",
       "Cais da Ribeira                             0.084545         1.000000   \n",
       "Mosteiro dos Jeronimos                      0.031402         0.069234   \n",
       "Park and National Palace of Pena            0.046452         0.066873   \n",
       "Ponte de Dom Luís I                         0.068976         0.317380   \n",
       "Quinta da Regaleira                         0.028705         0.037973   \n",
       "Torre de Belém                              0.036116         0.070072   \n",
       "\n",
       "Name                              Mosteiro dos Jeronimos  \\\n",
       "Name                                                       \n",
       "Bom Jesus do Monte                              0.031402   \n",
       "Cais da Ribeira                                 0.069234   \n",
       "Mosteiro dos Jeronimos                          1.000000   \n",
       "Park and National Palace of Pena                0.165475   \n",
       "Ponte de Dom Luís I                             0.064712   \n",
       "Quinta da Regaleira                             0.103650   \n",
       "Torre de Belém                                  0.339378   \n",
       "\n",
       "Name                              Park and National Palace of Pena  \\\n",
       "Name                                                                 \n",
       "Bom Jesus do Monte                                        0.046452   \n",
       "Cais da Ribeira                                           0.066873   \n",
       "Mosteiro dos Jeronimos                                    0.165475   \n",
       "Park and National Palace of Pena                          1.000000   \n",
       "Ponte de Dom Luís I                                       0.057764   \n",
       "Quinta da Regaleira                                       0.331217   \n",
       "Torre de Belém                                            0.151378   \n",
       "\n",
       "Name                              Ponte de Dom Luís I  Quinta da Regaleira  \\\n",
       "Name                                                                         \n",
       "Bom Jesus do Monte                           0.068976             0.028705   \n",
       "Cais da Ribeira                              0.317380             0.037973   \n",
       "Mosteiro dos Jeronimos                       0.064712             0.103650   \n",
       "Park and National Palace of Pena             0.057764             0.331217   \n",
       "Ponte de Dom Luís I                          1.000000             0.037210   \n",
       "Quinta da Regaleira                          0.037210             1.000000   \n",
       "Torre de Belém                               0.071065             0.104560   \n",
       "\n",
       "Name                              Torre de Belém  \n",
       "Name                                              \n",
       "Bom Jesus do Monte                      0.036116  \n",
       "Cais da Ribeira                         0.070072  \n",
       "Mosteiro dos Jeronimos                  0.339378  \n",
       "Park and National Palace of Pena        0.151378  \n",
       "Ponte de Dom Luís I                     0.071065  \n",
       "Quinta da Regaleira                     0.104560  \n",
       "Torre de Belém                          1.000000  "
      ]
     },
     "execution_count": 54,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# Similiar trioType matrix\n",
    "Nameatt_Nameatt_sim_matrix = pd.DataFrame(\n",
    "    pairwise_distances(NameattuserNameMatrix.T,metric='cosine'),\n",
    "    columns = NameattuserNameMatrix.columns,\n",
    "    index = NameattuserNameMatrix.columns\n",
    "    )\n",
    "Nameatt_Nameatt_sim_matrix = Nameatt_Nameatt_sim_matrix.apply(lambda x: 1-x, axis=1) # Transform dissimilarity to similarity\n",
    "Nameatt_Nameatt_sim_matrix"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 55,
   "id": "4e478ffa-3046-4d47-aacf-2b8ac88679db",
   "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": [
    "x = Nameatt_Nameatt_sim_matrix.columns\n",
    "y = Nameatt_Nameatt_sim_matrix.index\n",
    "\n",
    "x,y = np.meshgrid(range(Nameatt_Nameatt_sim_matrix.shape[1]), range(Nameatt_Nameatt_sim_matrix.shape[0]))\n",
    "plt.scatter(x,y, s=Nameatt_Nameatt_sim_matrix.values*1000, alpha=0.5)\n",
    "plt.xlabel('x')\n",
    "plt.ylabel('y')\n",
    "plt.title('Scatter plot of Nameatt_Nameatt_sim_matrix')\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 56,
   "id": "762a760d-a49f-4d86-be76-2c4225f2bf7d",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x288 with 2 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "sns.heatmap(Nameatt_Nameatt_sim_matrix, cmap='YlGnBu')\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 57,
   "id": "6343ecf1",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "['Cais da Ribeira', 'Ponte de Dom Luís I', 'Park and National Palace of Pena']"
      ]
     },
     "execution_count": 57,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# Top 3 attractions similar to 'Bom Jesus do Monte '\n",
    "top_3_similar_attractions = list(\n",
    "    Nameatt_Nameatt_sim_matrix\n",
    "        .loc['Bom Jesus do Monte']\n",
    "        .sort_values(ascending=False)\n",
    "        .iloc[1:4]         # 1 to 4 instead of 0 to 10 because the first is the product itself\n",
    "    .index\n",
    ")\n",
    "top_3_similar_attractions"
   ]
  }
 ],
 "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": "3.9.12"
  }
 },
 "nbformat": 4,
 "nbformat_minor": 5
}