main.ipynb

{
 "cells": [
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# Assignment #3"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## 1. Data collection"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "crawler.py"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "import requests\n",
    "from bs4 import BeautifulSoup\n",
    "import time\n",
    "import os\n",
    "\n",
    "def url_i(i):\n",
    "    #Get the URL of every page\n",
    "    url = \"https://www.findamasters.com/masters-degrees/msc-degrees/?PG={}\".format(i)\n",
    "    return url\n",
    "\n",
    "def get_MasterURLS():\n",
    "    for i in range(1, 401):\n",
    "        links_list = set()\n",
    "        url = url_i(i)\n",
    "        response = requests.get(url)\n",
    "        if response.status_code == 200:\n",
    "            # Parse the HTML content\n",
    "            soup = BeautifulSoup(response.text, 'html.parser')\n",
    "            # Find all the links in the HTML\n",
    "            links = soup.find_all('a', href=True)\n",
    "            # Print all the links\n",
    "            for link in links:\n",
    "                l = link['href']\n",
    "                splitted = l.split(\"/\")\n",
    "                if splitted[-1][0:2] == \"?i\" and len(splitted[-1].split(\"#\")) != 2:\n",
    "                    links_list.add(l)\n",
    "        if len(links_list) == 15:\n",
    "            with open(\"links.txt\", 'a') as f:\n",
    "                for l in links_list:\n",
    "                    f.write(l+ '\\n')\n",
    "        time.sleep(1)\n",
    "\n",
    "def main():\n",
    "\n",
    "    get_MasterURLS()\n",
    "\n",
    "    j = 0\n",
    "\n",
    "    with open('links.txt', 'r') as file:\n",
    "        # Read the content of the file\n",
    "        file_content = file.readlines()\n",
    "        \n",
    "    for page in range(1, 401):\n",
    "        folder_name = \"page_{}\".format(page)\n",
    "        #Create a directory for the page if not exists\n",
    "        if not os.path.exists(folder_name):\n",
    "                os.makedirs(folder_name)\n",
    "        for web in range(j, 15 + j):\n",
    "            #Save HTML content for every master page\n",
    "            website = \"https://www.findamasters.com\" + file_content[web].replace(\"\\n\", \"\")\n",
    "            response = requests.get(website)\n",
    "            #Sleep to don't saturate the server\n",
    "            time.sleep(2)\n",
    "            with open(folder_name + \"/\" + \"page{}_master{}.html\".format(page, web), 'a', encoding='utf-8') as file:\n",
    "                file.write(response.text)\n",
    "        j = page * 15\n",
    "        print(\"Page \" + str(page) + \" has been completed.\")\n",
    "main()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "parser.py"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "from bs4 import BeautifulSoup\n",
    "import re\n",
    "import csv\n",
    "\n",
    "def getAdministration(s):\n",
    "    #Get the administration if exists\n",
    "    try:\n",
    "        administration = s[-1]\n",
    "    except IndexError:\n",
    "        administration = \" \"\n",
    "    return administration\n",
    "\n",
    "def getNamefromRegExpr(atrr, script_tags):\n",
    "    #Get the name using Regular Expressions\n",
    "    pattern = re.compile(r'DataLayerManager\\.{}\\s*=\\s*\"([^\"]+)\"'.format(atrr))\n",
    "    val = \"\"\n",
    "    for script_tag in script_tags:\n",
    "        script_content = script_tag.get_text()\n",
    "        match = pattern.search(script_content)\n",
    "        if match:\n",
    "            val = match.group(1)\n",
    "    return val\n",
    "\n",
    "def getDescription(soup):\n",
    "    #Get description if exists\n",
    "    description_section = soup.find('div', class_='course-sections__description')\n",
    "    if description_section:\n",
    "        description_title = description_section.find('h2', class_='course-sections__title').text\n",
    "        description_content = description_section.find('div', class_='course-sections__content').find('div', id='Snippet').text\n",
    "        return description_content.replace(\"\\n\", \"\")\n",
    "    else:\n",
    "        return \"\"\n",
    "    \n",
    "def getFees(soup):\n",
    "    #Get fees if exists\n",
    "    fees_section = soup.find('div', class_='course-sections__fees')\n",
    "    if fees_section:\n",
    "        fees_title = fees_section.find('h2', class_='course-sections__title').text\n",
    "        fees_content = fees_section.find('div', class_='course-sections__content').text\n",
    "        return fees_content.replace(\"\\n\", \"\")\n",
    "    else:\n",
    "        return \"\"\n",
    "    \n",
    "\n",
    "\n",
    "def main():\n",
    "    folder_names = ['page_' + str(i) for i in range(1, 401)]\n",
    "\n",
    "    master = 0\n",
    "    masters = []\n",
    "    for folder in folder_names:\n",
    "        #Different method to extract the number of page if this has 1, 2 or 3 numbers\n",
    "        for i in range(15):\n",
    "            if master < 135:\n",
    "                num_folder = folder[-1]\n",
    "            elif master < 1485:\n",
    "                num_folder = folder[-2] + folder[-1]\n",
    "            else:\n",
    "                num_folder = folder[-3] + folder[-2] + folder[-1]\n",
    "            html_file = \"page\" + num_folder + \"_master\" + str(master)\n",
    "            with open(folder+\"/\"+html_file + \".html\", 'r', encoding='utf-8') as file:\n",
    "                html_content = file.read()\n",
    "            \n",
    "            soup = BeautifulSoup(html_content, 'html.parser')\n",
    "\n",
    "            #Get all attributes\n",
    "            script_tags = soup.find_all('script')\n",
    "            courseName = soup.title.text.strip().split(' at ')[0]\n",
    "            universityName = getNamefromRegExpr(\"dynamicInstitutionName\", script_tags)\n",
    "            facultyName = getNamefromRegExpr(\"dynamicDepartmentName\", script_tags)\n",
    "            isItFullTime = getNamefromRegExpr(\"dynamicStudyTypes\", script_tags).split(\",\")[0:-1]\n",
    "            description = getDescription(soup)\n",
    "            startDate = getNamefromRegExpr(\"dynamicStudyTerms\", script_tags)\n",
    "            fees = getFees(soup)\n",
    "            modality = getNamefromRegExpr(\"dynamicProgrammeTypes\", script_tags)\n",
    "            \n",
    "            duration_elem = soup.find('span', class_='key-info__duration')\n",
    "            #Get duration if exists\n",
    "            if duration_elem:\n",
    "                duration = duration_elem.text.strip()\n",
    "            else:\n",
    "                duration = \"\"\n",
    "            \n",
    "            #Get city if exists\n",
    "            city_elem = soup.find('a', class_='course-data__city')\n",
    "            if city_elem:\n",
    "                city = city_elem.text.strip()\n",
    "            else:\n",
    "                city = \"\"\n",
    "\n",
    "            country = getNamefromRegExpr(\"dynamicLocationCountryName\", script_tags)\n",
    "            administration = getAdministration(getNamefromRegExpr(\"dynamicStudyTypes\", script_tags).split(\",\"))\n",
    "            url_e = soup.find('link', rel='canonical')\n",
    "            \n",
    "            #Get URL if it is possible\n",
    "            if url_e:\n",
    "                url = url_e.get('href', 'URL not available')\n",
    "            else:\n",
    "                url = \"\"\n",
    "            \n",
    "            with open(\"courses_tsv/course_{}.tsv\".format(master), 'a', encoding='utf-8-sig') as w:\n",
    "                writer = csv.writer(w, delimiter = '\\t')\n",
    "                writer.writerow([courseName, universityName, facultyName, isItFullTime, description, startDate, fees, modality, duration, city, country, administration, url])\n",
    "            master = master + 1\n",
    "main()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## 2. Search engine "
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Libraries"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 1,
   "metadata": {},
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "[nltk_data] Downloading package stopwords to\n",
      "[nltk_data]     /Users/onurozansunger/nltk_data...\n",
      "[nltk_data]   Package stopwords is already up-to-date!\n",
      "[nltk_data] Downloading package punkt to\n",
      "[nltk_data]     /Users/onurozansunger/nltk_data...\n",
      "[nltk_data]   Package punkt is already up-to-date!\n"
     ]
    },
    {
     "data": {
      "text/plain": [
       "True"
      ]
     },
     "execution_count": 1,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "import pandas as pd\n",
    "import os\n",
    "import nltk\n",
    "from nltk.corpus import stopwords\n",
    "from nltk.stem import PorterStemmer\n",
    "import string\n",
    "import pandas as pd\n",
    "import os\n",
    "import re\n",
    "import requests\n",
    "import numpy as np\n",
    "import time\n",
    "import folium\n",
    "from folium import IFrame\n",
    "from geopy.distance import geodesic\n",
    "from geopy.geocoders import Nominatim\n",
    "from sklearn.feature_extraction.text import TfidfVectorizer\n",
    "from sklearn.metrics.pairwise import cosine_similarity\n",
    "from IPython.display import display\n",
    "\n",
    "nltk.download('stopwords')\n",
    "nltk.download('punkt')"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Script to create a DataFrame for the courses using the TSV files "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "metadata": {},
   "outputs": [],
   "source": [
    "\n",
    "# Path to the folder containing TSV files\n",
    "folder_path = 'HW3/courses_tsv'\n",
    "\n",
    "dfs = []\n",
    "\n",
    "# Iterate over each file in the folder\n",
    "for file_name in os.listdir(folder_path):\n",
    "    if file_name.endswith('.tsv'):\n",
    "        file_path = os.path.join(folder_path, file_name)\n",
    "        \n",
    "        # Read TSV file into a DataFrame\n",
    "        df = pd.read_csv(file_path, sep='\\t', header=None, names=[\n",
    "            'courseName', 'universityName', 'facultyName', 'isItFullTime',\n",
    "            'description', 'startDate', 'fees', 'modality', 'duration',\n",
    "            'city', 'country', 'administration', 'url'\n",
    "        ])\n",
    "        \n",
    "        # Append the DataFrame to the list\n",
    "        dfs.append(df)\n",
    "\n",
    "# Concatenate all DataFrames into a single DataFrame\n",
    "final_df = pd.concat(dfs, ignore_index=True)\n",
    "\n",
    "# Write the DataFrame to a CSV file\n",
    "final_df.to_csv('masters_csv', index=False)\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "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>courseName</th>\n",
       "      <th>universityName</th>\n",
       "      <th>facultyName</th>\n",
       "      <th>isItFullTime</th>\n",
       "      <th>description</th>\n",
       "      <th>startDate</th>\n",
       "      <th>fees</th>\n",
       "      <th>modality</th>\n",
       "      <th>duration</th>\n",
       "      <th>city</th>\n",
       "      <th>country</th>\n",
       "      <th>administration</th>\n",
       "      <th>url</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>Future Manufacturing and Nanoscale Engineering...</td>\n",
       "      <td>University College London</td>\n",
       "      <td>Department of Mechanical Engineering</td>\n",
       "      <td>['Full Time']</td>\n",
       "      <td>Register your interest in graduate study at UC...</td>\n",
       "      <td>September</td>\n",
       "      <td>Please see the university website for further ...</td>\n",
       "      <td>MSc</td>\n",
       "      <td>1 year full time</td>\n",
       "      <td>London</td>\n",
       "      <td>United Kingdom</td>\n",
       "      <td>On Campus</td>\n",
       "      <td>https://www.findamasters.com/masters-degrees/c...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>Marketing - MSc</td>\n",
       "      <td>University of Bristol</td>\n",
       "      <td>Faculty of Social Sciences and Law</td>\n",
       "      <td>['Full Time']</td>\n",
       "      <td>This programme, accredited by both the Charter...</td>\n",
       "      <td>September</td>\n",
       "      <td>Please see the university website for further ...</td>\n",
       "      <td>MSc</td>\n",
       "      <td>1 year full-time</td>\n",
       "      <td>Bristol</td>\n",
       "      <td>United Kingdom</td>\n",
       "      <td>On Campus</td>\n",
       "      <td>https://www.findamasters.com/masters-degrees/c...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>Global Management of Natural Resources MSc</td>\n",
       "      <td>University College London</td>\n",
       "      <td>Department of Chemical Engineering</td>\n",
       "      <td>['Full Time']</td>\n",
       "      <td>Register your interest in graduate study at UC...</td>\n",
       "      <td>September</td>\n",
       "      <td>Full time - £21,200</td>\n",
       "      <td>MSc</td>\n",
       "      <td>1 year full time</td>\n",
       "      <td>London</td>\n",
       "      <td>United Kingdom</td>\n",
       "      <td>On Campus</td>\n",
       "      <td>https://www.findamasters.com/masters-degrees/c...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>Business Analytics MSc</td>\n",
       "      <td>University of Stirling</td>\n",
       "      <td>Business, Management and Law</td>\n",
       "      <td>['Full Time', 'Part Time']</td>\n",
       "      <td>Business Analytics focuses on understanding th...</td>\n",
       "      <td>September, January</td>\n",
       "      <td>Please see the university website for further ...</td>\n",
       "      <td>PGCert,PGDip,MSc</td>\n",
       "      <td>12 months full-time, 24 months part-time</td>\n",
       "      <td>Stirling</td>\n",
       "      <td>United Kingdom</td>\n",
       "      <td>On Campus</td>\n",
       "      <td>https://www.findamasters.com/masters-degrees/c...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>Public Policy and Management MSc</td>\n",
       "      <td>King’s College London</td>\n",
       "      <td>King’s Business School</td>\n",
       "      <td>['Full Time', 'Part Time']</td>\n",
       "      <td>Whether you are a social science graduate or a...</td>\n",
       "      <td>September</td>\n",
       "      <td>Please see the university website for further ...</td>\n",
       "      <td>MSc</td>\n",
       "      <td>1 year FT, 2 years PT</td>\n",
       "      <td>London</td>\n",
       "      <td>United Kingdom</td>\n",
       "      <td>On Campus</td>\n",
       "      <td>https://www.findamasters.com/masters-degrees/c...</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "                                          courseName  \\\n",
       "0  Future Manufacturing and Nanoscale Engineering...   \n",
       "1                                    Marketing - MSc   \n",
       "2         Global Management of Natural Resources MSc   \n",
       "3                             Business Analytics MSc   \n",
       "4                   Public Policy and Management MSc   \n",
       "\n",
       "              universityName                           facultyName  \\\n",
       "0  University College London  Department of Mechanical Engineering   \n",
       "1      University of Bristol    Faculty of Social Sciences and Law   \n",
       "2  University College London    Department of Chemical Engineering   \n",
       "3     University of Stirling          Business, Management and Law   \n",
       "4      King’s College London                King’s Business School   \n",
       "\n",
       "                 isItFullTime  \\\n",
       "0               ['Full Time']   \n",
       "1               ['Full Time']   \n",
       "2               ['Full Time']   \n",
       "3  ['Full Time', 'Part Time']   \n",
       "4  ['Full Time', 'Part Time']   \n",
       "\n",
       "                                         description           startDate  \\\n",
       "0  Register your interest in graduate study at UC...           September   \n",
       "1  This programme, accredited by both the Charter...           September   \n",
       "2  Register your interest in graduate study at UC...           September   \n",
       "3  Business Analytics focuses on understanding th...  September, January   \n",
       "4  Whether you are a social science graduate or a...           September   \n",
       "\n",
       "                                                fees          modality  \\\n",
       "0  Please see the university website for further ...               MSc   \n",
       "1  Please see the university website for further ...               MSc   \n",
       "2                                Full time - £21,200               MSc   \n",
       "3  Please see the university website for further ...  PGCert,PGDip,MSc   \n",
       "4  Please see the university website for further ...               MSc   \n",
       "\n",
       "                                   duration      city         country  \\\n",
       "0                          1 year full time    London  United Kingdom   \n",
       "1                          1 year full-time   Bristol  United Kingdom   \n",
       "2                          1 year full time    London  United Kingdom   \n",
       "3  12 months full-time, 24 months part-time  Stirling  United Kingdom   \n",
       "4                     1 year FT, 2 years PT    London  United Kingdom   \n",
       "\n",
       "  administration                                                url  \n",
       "0      On Campus  https://www.findamasters.com/masters-degrees/c...  \n",
       "1      On Campus  https://www.findamasters.com/masters-degrees/c...  \n",
       "2      On Campus  https://www.findamasters.com/masters-degrees/c...  \n",
       "3      On Campus  https://www.findamasters.com/masters-degrees/c...  \n",
       "4      On Campus  https://www.findamasters.com/masters-degrees/c...  "
      ]
     },
     "execution_count": 3,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df = pd.read_csv('masters_csv')\n",
    "df.head()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## 2. Search engine "
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Text Pre-processing"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "metadata": {},
   "outputs": [],
   "source": [
    "def preprocess_text(text):\n",
    "\n",
    "    # Handling NaN/float values\n",
    "    if not isinstance(text, str):\n",
    "        return ''\n",
    "\n",
    "    # Converting the text to lower case\n",
    "    text = text.lower()\n",
    "\n",
    "    # Removing punctuation\n",
    "    text = text.translate(str.maketrans('', '', string.punctuation))\n",
    "\n",
    "    # Breaking the text into words(tokens)\n",
    "    words = nltk.word_tokenize(text)\n",
    "\n",
    "    # Removing stopwords\n",
    "    stop_words = set(stopwords.words('english'))\n",
    "    words = [word for word in words if word not in stop_words]\n",
    "\n",
    "    # Stemming\n",
    "    stemmer = PorterStemmer()\n",
    "    words = [stemmer.stem(word) for word in words]\n",
    "\n",
    "    # Joining the list of words to form the processed text\n",
    "    processed_text = ' '.join(words)\n",
    "\n",
    "    return processed_text"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Processing the fees column"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "##### Getting the currencies' USD exchange rates using fastforext API\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "AED: 3.67288\n",
      "AFN: 69.59229\n",
      "ALL: 93.79502\n",
      "AMD: 401.7486\n",
      "ANG: 1.78657\n",
      "AOA: 826.94932\n",
      "ARS: 357.66399\n",
      "AUD: 1.51772\n",
      "AWG: 1.79938\n",
      "AZN: 1.69103\n"
     ]
    }
   ],
   "source": [
    "url = 'https://api.fastforex.io/fetch-all'\n",
    "headers = {\n",
    "    'accept': 'application/json',\n",
    "}\n",
    "\n",
    "# Include the API key as a query parameter\n",
    "params = {\n",
    "    'api_key': '35933a87f1-46a2dbb06d-s4qbai',\n",
    "}\n",
    "\n",
    "# Make the GET request\n",
    "response = requests.get(url, headers=headers, params=params)\n",
    "\n",
    "# Check if the request was successful\n",
    "if response.status_code == 200:\n",
    "    exchange_rates = response.json()\n",
    "    \n",
    "\n",
    "else:\n",
    "    print('An error has occurred.')\n",
    "\n",
    "exchange_rates = exchange_rates['results']\n",
    "\n",
    "first_10_items = list(exchange_rates.items())[:10]\n",
    "\n",
    "for key, value in first_10_items:\n",
    "    print(f'{key}: {value}')\n"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "##### Function that retrieves the tuition fees and its currency and converts it to USD "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "metadata": {},
   "outputs": [],
   "source": [
    "# List of currency symbols and their corresponding currency codes\n",
    "currency_symbols = {\n",
    "    'USD': '$',\n",
    "    'EUR': '€',\n",
    "    'GBP': '£',\n",
    "    'JPY': '¥',\n",
    "    'AUD': 'A$',\n",
    "    'CAD': 'C$',\n",
    "    'CHF': 'CHF',\n",
    "    'CNY': '¥',\n",
    "    'SEK': 'kr',\n",
    "    'NZD': 'NZ$',\n",
    "    'INR': '₹',\n",
    "    'SGD': 'S$',\n",
    "    'HKD': 'HK$',\n",
    "    'NOK': 'kr',\n",
    "    'KRW': '₩',\n",
    "    'TRY': '₺',\n",
    "    'ZAR': 'R',\n",
    "    'BRL': 'R$',\n",
    "    'RUB': '₽',\n",
    "    'MXN': 'Mex$',\n",
    "    'ARS': '$',\n",
    "    'IDR': 'Rp',\n",
    "    'MYR': 'RM',\n",
    "    'PHP': '₱',\n",
    "    'THB': '฿',\n",
    "    'CZK': 'Kč',\n",
    "    'HUF': 'Ft',\n",
    "    'PLN': 'zł',\n",
    "    'ISK': 'kr',\n",
    "    'DKK': 'kr',\n",
    "    'AED': 'د.إ',\n",
    "    'SAR': '﷼',\n",
    "    'QAR': '﷼',\n",
    "    'EGP': 'EGP',\n",
    "    'ILS': '₪',\n",
    "    'KWD': 'د.ك',\n",
    "    'BHD': 'ب.د',\n",
    "    'OMR': 'ر.ع.',\n",
    "    'JOD': 'د.ا',\n",
    "    'LBP': 'ل.ل',\n",
    "    'JMD': 'J$',\n",
    "    'TTD': 'TT$',\n",
    "    'COP': 'COL$',\n",
    "    'CLP': 'CLP$',\n",
    "    'PEN': 'S/',\n",
    "    'UYU': '$U',\n",
    "    'CRC': '₡',\n",
    "}\n",
    "\n",
    "\n",
    "def extract_and_convert_fees(row, exchange_rates):\n",
    "\n",
    "    fees_usd = 0  \n",
    "    \n",
    "# Regex to find the tuition fees\n",
    "\n",
    "    for currency, symbol in currency_symbols.items():\n",
    "\n",
    "        regex = rf'{symbol}(\\d+(?:,\\d{{3}})*(\\.\\d+)?)'\n",
    "        matches = re.findall(regex, row)\n",
    "\n",
    "        for match in matches:\n",
    "\n",
    "            # Remove commas and convert to float\n",
    "            num = float(match[0].replace(',', ''))\n",
    "            # Multiply by the conversion rate to get the amount in USD\n",
    "            if currency in exchange_rates:\n",
    "                num *= exchange_rates[currency]\n",
    "                fees_usd = max(fees_usd, num)\n",
    "\n",
    "    return fees_usd\n",
    "\n",
    "\n"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Applying text-preprocessing to the column 'description' and adding the column 'fees_USD'"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 9,
   "metadata": {},
   "outputs": [],
   "source": [
    "df_updated = df.copy()\n",
    "\n",
    "# Preprocess the text in the description, courseName, universityName and city columns \n",
    "df_updated['description_lemmatized'] = df_updated['description'].apply(preprocess_text)\n",
    "df_updated['courseName_lemmatized'] = df_updated['courseName'].apply(preprocess_text)\n",
    "df_updated['universityName_lemmatized'] = df_updated['universityName'].apply(preprocess_text)\n",
    "df_updated['city_lemmatized'] = df_updated['city'].apply(preprocess_text)\n",
    "\n",
    "# Create the fees_USD column with the equivalent tuition in USD\n",
    "df_updated['fees_USD'] = df_updated['fees'].apply(lambda row: extract_and_convert_fees(str(row), exchange_rates) if not pd.isnull(row) else np.nan)\n",
    "df_updated['fees_USD'] = df_updated['fees_USD'].round(2)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 10,
   "metadata": {},
   "outputs": [
    {
     "data": {
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       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>courseName</th>\n",
       "      <th>universityName</th>\n",
       "      <th>facultyName</th>\n",
       "      <th>isItFullTime</th>\n",
       "      <th>description</th>\n",
       "      <th>startDate</th>\n",
       "      <th>fees</th>\n",
       "      <th>modality</th>\n",
       "      <th>duration</th>\n",
       "      <th>city</th>\n",
       "      <th>country</th>\n",
       "      <th>administration</th>\n",
       "      <th>url</th>\n",
       "      <th>description_lemmatized</th>\n",
       "      <th>courseName_lemmatized</th>\n",
       "      <th>universityName_lemmatized</th>\n",
       "      <th>city_lemmatized</th>\n",
       "      <th>fees_USD</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>Global Management of Natural Resources MSc</td>\n",
       "      <td>University College London</td>\n",
       "      <td>Department of Chemical Engineering</td>\n",
       "      <td>['Full Time']</td>\n",
       "      <td>Register your interest in graduate study at UC...</td>\n",
       "      <td>September</td>\n",
       "      <td>Full time - £21,200</td>\n",
       "      <td>MSc</td>\n",
       "      <td>1 year full time</td>\n",
       "      <td>London</td>\n",
       "      <td>United Kingdom</td>\n",
       "      <td>On Campus</td>\n",
       "      <td>https://www.findamasters.com/masters-degrees/c...</td>\n",
       "      <td>regist interest graduat studi uclmor ever grow...</td>\n",
       "      <td>global manag natur resourc msc</td>\n",
       "      <td>univers colleg london</td>\n",
       "      <td>london</td>\n",
       "      <td>16819.44</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>6</th>\n",
       "      <td>Construction Project Management - PgDip/PgCert...</td>\n",
       "      <td>Oxford Brookes University</td>\n",
       "      <td>School of the Built Environment</td>\n",
       "      <td>['Full Time', 'Part Time', 'Online']</td>\n",
       "      <td>Our MSc in Construction Project Management (CP...</td>\n",
       "      <td>September, January</td>\n",
       "      <td>Home (UK) full time - £10,800 Home (UK) part t...</td>\n",
       "      <td>PGDip,MSc,PGCert</td>\n",
       "      <td>1 year full time, 2 years part time (Sept star...</td>\n",
       "      <td>Oxford</td>\n",
       "      <td>United Kingdom</td>\n",
       "      <td>On Campus</td>\n",
       "      <td>https://www.findamasters.com/masters-degrees/c...</td>\n",
       "      <td>msc construct project manag cpm meet challeng ...</td>\n",
       "      <td>construct project manag pgdippgcertmsc</td>\n",
       "      <td>oxford brook univers</td>\n",
       "      <td>oxford</td>\n",
       "      <td>13090.60</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>10</th>\n",
       "      <td>Genes in Behaviour and Health (Research Master...</td>\n",
       "      <td>Vrije Universiteit Amsterdam</td>\n",
       "      <td>Faculty of Behavioural and Movement Sciences</td>\n",
       "      <td>['Full Time']</td>\n",
       "      <td>Nature and nurture: how do they interact and c...</td>\n",
       "      <td>September</td>\n",
       "      <td>EU/EER Student: €2,209 NON-EU Student: €12,840</td>\n",
       "      <td>Research Only,MSc</td>\n",
       "      <td>2 years full time</td>\n",
       "      <td>Amsterdam</td>\n",
       "      <td>Netherlands</td>\n",
       "      <td>On Campus</td>\n",
       "      <td>https://www.findamasters.com/masters-degrees/c...</td>\n",
       "      <td>natur nurtur interact correl health wellb gene...</td>\n",
       "      <td>gene behaviour health research master msc</td>\n",
       "      <td>vrije universiteit amsterdam</td>\n",
       "      <td>amsterdam</td>\n",
       "      <td>11735.89</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>12</th>\n",
       "      <td>MSc in Anthropology and Development Studies</td>\n",
       "      <td>Radboud University</td>\n",
       "      <td>Behavioural and Social Sciences</td>\n",
       "      <td>['Full Time']</td>\n",
       "      <td>How do grassroots initiatives by refugees impa...</td>\n",
       "      <td>September</td>\n",
       "      <td>The legal tuition for the 2024-2025 academic y...</td>\n",
       "      <td>MSc</td>\n",
       "      <td>1 year full time</td>\n",
       "      <td>Nijmegen</td>\n",
       "      <td>Netherlands</td>\n",
       "      <td>On Campus</td>\n",
       "      <td>https://www.findamasters.com/masters-degrees/c...</td>\n",
       "      <td>grassroot initi refuge impact upon practic pol...</td>\n",
       "      <td>msc anthropolog develop studi</td>\n",
       "      <td>radboud univers</td>\n",
       "      <td>nijmegen</td>\n",
       "      <td>15.97</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>13</th>\n",
       "      <td>International Real Estate and Planning MSc</td>\n",
       "      <td>University College London</td>\n",
       "      <td>The Bartlett School of Planning</td>\n",
       "      <td>['Full Time', 'Part Time']</td>\n",
       "      <td>Register your interest in graduate study at UC...</td>\n",
       "      <td>September</td>\n",
       "      <td>Full time - £18,000 Part time - £9,000</td>\n",
       "      <td>MSc</td>\n",
       "      <td>1 year full time, 2 years part time, 5 years f...</td>\n",
       "      <td>London</td>\n",
       "      <td>United Kingdom</td>\n",
       "      <td>On Campus</td>\n",
       "      <td>https://www.findamasters.com/masters-degrees/c...</td>\n",
       "      <td>regist interest graduat studi uclthi programm ...</td>\n",
       "      <td>intern real estat plan msc</td>\n",
       "      <td>univers colleg london</td>\n",
       "      <td>london</td>\n",
       "      <td>14280.66</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>19</th>\n",
       "      <td>MSc in Data Science &amp; Artificial Intelligence ...</td>\n",
       "      <td>Emlyon Business School</td>\n",
       "      <td>Graduate Programmes</td>\n",
       "      <td>['Full Time']</td>\n",
       "      <td>ProgramThe aim of this program is to fill in t...</td>\n",
       "      <td>September</td>\n",
       "      <td>€24,900 This tuition and fee charges are in ef...</td>\n",
       "      <td>MSc</td>\n",
       "      <td>18 months</td>\n",
       "      <td>Lyon</td>\n",
       "      <td>France</td>\n",
       "      <td>On Campus</td>\n",
       "      <td>https://www.findamasters.com/masters-degrees/c...</td>\n",
       "      <td>programth aim program fill gap busi engin high...</td>\n",
       "      <td>msc data scienc artifici intellig strategi</td>\n",
       "      <td>emlyon busi school</td>\n",
       "      <td>lyon</td>\n",
       "      <td>22758.85</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>26</th>\n",
       "      <td>Construction Management and International Deve...</td>\n",
       "      <td>University of Reading</td>\n",
       "      <td>School of Construction Management &amp; Engineering</td>\n",
       "      <td>['Full Time', 'Part Time']</td>\n",
       "      <td>Apply for this programmeExplore how building a...</td>\n",
       "      <td>September</td>\n",
       "      <td>New UK/Republic of Ireland students: £12,550  ...</td>\n",
       "      <td>MSc</td>\n",
       "      <td>1 year full time, 18-63 months flexible</td>\n",
       "      <td>Reading</td>\n",
       "      <td>United Kingdom</td>\n",
       "      <td>On Campus</td>\n",
       "      <td>https://www.findamasters.com/masters-degrees/c...</td>\n",
       "      <td>appli programmeexplor build infrastructur proj...</td>\n",
       "      <td>construct manag intern develop</td>\n",
       "      <td>univers read</td>\n",
       "      <td>read</td>\n",
       "      <td>21381.32</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>31</th>\n",
       "      <td>Counterterrorism Risk Management and Resilienc...</td>\n",
       "      <td>Cranfield University</td>\n",
       "      <td>Cranfield Forensic Institute</td>\n",
       "      <td>['Full Time', 'Part Time', 'Online']</td>\n",
       "      <td>OverviewThe MSc Counterterrorism, Risk Managem...</td>\n",
       "      <td>October</td>\n",
       "      <td>• MSc Full-time £11,330 • MSc Part-time £11,33...</td>\n",
       "      <td>PGDip,PGCert,MSc</td>\n",
       "      <td>Part-time: 2 years (PgDip and PgCert) or 3 yea...</td>\n",
       "      <td>Bedford</td>\n",
       "      <td>United Kingdom</td>\n",
       "      <td>On Campus</td>\n",
       "      <td>https://www.findamasters.com/masters-degrees/c...</td>\n",
       "      <td>overviewth msc counterterror risk manag resili...</td>\n",
       "      <td>counterterror risk manag resili msc</td>\n",
       "      <td>cranfield univers</td>\n",
       "      <td>bedford</td>\n",
       "      <td>8988.88</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "                                           courseName  \\\n",
       "2          Global Management of Natural Resources MSc   \n",
       "6   Construction Project Management - PgDip/PgCert...   \n",
       "10  Genes in Behaviour and Health (Research Master...   \n",
       "12        MSc in Anthropology and Development Studies   \n",
       "13         International Real Estate and Planning MSc   \n",
       "19  MSc in Data Science & Artificial Intelligence ...   \n",
       "26  Construction Management and International Deve...   \n",
       "31  Counterterrorism Risk Management and Resilienc...   \n",
       "\n",
       "                  universityName  \\\n",
       "2      University College London   \n",
       "6      Oxford Brookes University   \n",
       "10  Vrije Universiteit Amsterdam   \n",
       "12            Radboud University   \n",
       "13     University College London   \n",
       "19        Emlyon Business School   \n",
       "26         University of Reading   \n",
       "31          Cranfield University   \n",
       "\n",
       "                                        facultyName  \\\n",
       "2                Department of Chemical Engineering   \n",
       "6                   School of the Built Environment   \n",
       "10     Faculty of Behavioural and Movement Sciences   \n",
       "12                  Behavioural and Social Sciences   \n",
       "13                  The Bartlett School of Planning   \n",
       "19                              Graduate Programmes   \n",
       "26  School of Construction Management & Engineering   \n",
       "31                     Cranfield Forensic Institute   \n",
       "\n",
       "                            isItFullTime  \\\n",
       "2                          ['Full Time']   \n",
       "6   ['Full Time', 'Part Time', 'Online']   \n",
       "10                         ['Full Time']   \n",
       "12                         ['Full Time']   \n",
       "13            ['Full Time', 'Part Time']   \n",
       "19                         ['Full Time']   \n",
       "26            ['Full Time', 'Part Time']   \n",
       "31  ['Full Time', 'Part Time', 'Online']   \n",
       "\n",
       "                                          description           startDate  \\\n",
       "2   Register your interest in graduate study at UC...           September   \n",
       "6   Our MSc in Construction Project Management (CP...  September, January   \n",
       "10  Nature and nurture: how do they interact and c...           September   \n",
       "12  How do grassroots initiatives by refugees impa...           September   \n",
       "13  Register your interest in graduate study at UC...           September   \n",
       "19  ProgramThe aim of this program is to fill in t...           September   \n",
       "26  Apply for this programmeExplore how building a...           September   \n",
       "31  OverviewThe MSc Counterterrorism, Risk Managem...             October   \n",
       "\n",
       "                                                 fees           modality  \\\n",
       "2                                 Full time - £21,200                MSc   \n",
       "6   Home (UK) full time - £10,800 Home (UK) part t...   PGDip,MSc,PGCert   \n",
       "10     EU/EER Student: €2,209 NON-EU Student: €12,840  Research Only,MSc   \n",
       "12  The legal tuition for the 2024-2025 academic y...                MSc   \n",
       "13             Full time - £18,000 Part time - £9,000                MSc   \n",
       "19  €24,900 This tuition and fee charges are in ef...                MSc   \n",
       "26  New UK/Republic of Ireland students: £12,550  ...                MSc   \n",
       "31  • MSc Full-time £11,330 • MSc Part-time £11,33...   PGDip,PGCert,MSc   \n",
       "\n",
       "                                             duration       city  \\\n",
       "2                                    1 year full time     London   \n",
       "6   1 year full time, 2 years part time (Sept star...     Oxford   \n",
       "10                                  2 years full time  Amsterdam   \n",
       "12                                   1 year full time   Nijmegen   \n",
       "13  1 year full time, 2 years part time, 5 years f...     London   \n",
       "19                                          18 months       Lyon   \n",
       "26            1 year full time, 18-63 months flexible    Reading   \n",
       "31  Part-time: 2 years (PgDip and PgCert) or 3 yea...    Bedford   \n",
       "\n",
       "           country administration  \\\n",
       "2   United Kingdom      On Campus   \n",
       "6   United Kingdom      On Campus   \n",
       "10     Netherlands      On Campus   \n",
       "12     Netherlands      On Campus   \n",
       "13  United Kingdom      On Campus   \n",
       "19          France      On Campus   \n",
       "26  United Kingdom      On Campus   \n",
       "31  United Kingdom      On Campus   \n",
       "\n",
       "                                                  url  \\\n",
       "2   https://www.findamasters.com/masters-degrees/c...   \n",
       "6   https://www.findamasters.com/masters-degrees/c...   \n",
       "10  https://www.findamasters.com/masters-degrees/c...   \n",
       "12  https://www.findamasters.com/masters-degrees/c...   \n",
       "13  https://www.findamasters.com/masters-degrees/c...   \n",
       "19  https://www.findamasters.com/masters-degrees/c...   \n",
       "26  https://www.findamasters.com/masters-degrees/c...   \n",
       "31  https://www.findamasters.com/masters-degrees/c...   \n",
       "\n",
       "                               description_lemmatized  \\\n",
       "2   regist interest graduat studi uclmor ever grow...   \n",
       "6   msc construct project manag cpm meet challeng ...   \n",
       "10  natur nurtur interact correl health wellb gene...   \n",
       "12  grassroot initi refuge impact upon practic pol...   \n",
       "13  regist interest graduat studi uclthi programm ...   \n",
       "19  programth aim program fill gap busi engin high...   \n",
       "26  appli programmeexplor build infrastructur proj...   \n",
       "31  overviewth msc counterterror risk manag resili...   \n",
       "\n",
       "                         courseName_lemmatized     universityName_lemmatized  \\\n",
       "2               global manag natur resourc msc         univers colleg london   \n",
       "6       construct project manag pgdippgcertmsc          oxford brook univers   \n",
       "10   gene behaviour health research master msc  vrije universiteit amsterdam   \n",
       "12               msc anthropolog develop studi               radboud univers   \n",
       "13                  intern real estat plan msc         univers colleg london   \n",
       "19  msc data scienc artifici intellig strategi            emlyon busi school   \n",
       "26              construct manag intern develop                  univers read   \n",
       "31         counterterror risk manag resili msc             cranfield univers   \n",
       "\n",
       "   city_lemmatized  fees_USD  \n",
       "2           london  16819.44  \n",
       "6           oxford  13090.60  \n",
       "10       amsterdam  11735.89  \n",
       "12        nijmegen     15.97  \n",
       "13          london  14280.66  \n",
       "19            lyon  22758.85  \n",
       "26            read  21381.32  \n",
       "31         bedford   8988.88  "
      ]
     },
     "execution_count": 10,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# Masters degrees with tuition fees mentioned in the scraped data\n",
    "dummy = df_updated[df_updated['fees_USD'] != 0]\n",
    "dummy.head(8)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Conjunctive Querying"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "#### Creating the words vocabulary"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 11,
   "metadata": {},
   "outputs": [],
   "source": [
    "# Create a vocabulary\n",
    "vocabulary = set()\n",
    "\n",
    "# Extract words from the 'description' column\n",
    "for description in df_updated['description_lemmatized']:\n",
    "     \n",
    "     # Handling NaN/float values\n",
    "     if isinstance(description, str):  \n",
    "        words = description.split()\n",
    "        vocabulary.update(words)\n",
    "\n",
    "# Convert the vocabulary to a dictionary with words as keys and their index as values\n",
    "vocabulary_dict = {idx: word for idx, word in enumerate(vocabulary)}\n"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "#### Creating the inverted index"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 12,
   "metadata": {},
   "outputs": [
    {
     "data": {
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       "<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>word</th>\n",
       "      <th>documents_IDs</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>nova</td>\n",
       "      <td>[273, 11539, 11540, 1176, 11578, 95]</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>gather</td>\n",
       "      <td>[133, 5512, 8340, 2583, 5658, 3227, 8094, 8224...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>groupsaccl</td>\n",
       "      <td>[7848, 3127]</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>horticulturist</td>\n",
       "      <td>[712, 5899]</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>quarter</td>\n",
       "      <td>[3169, 4033, 5778, 7155, 8211, 2678, 4790, 9978]</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "             word                                      documents_IDs\n",
       "0            nova               [273, 11539, 11540, 1176, 11578, 95]\n",
       "1          gather  [133, 5512, 8340, 2583, 5658, 3227, 8094, 8224...\n",
       "2      groupsaccl                                       [7848, 3127]\n",
       "3  horticulturist                                        [712, 5899]\n",
       "4         quarter   [3169, 4033, 5778, 7155, 8211, 2678, 4790, 9978]"
      ]
     },
     "execution_count": 12,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# Create a dictionary to store word occurrences with row indices\n",
    "inverted_index = {word: [] for word in vocabulary}\n",
    "\n",
    "# Iterate over rows to find occurrences\n",
    "i = 0\n",
    "for idx, description in enumerate(df_updated['description_lemmatized']):\n",
    "\n",
    "    # Handling NaN/float values\n",
    "    if isinstance(description, str):  \n",
    "        words = description.split()\n",
    "        for word in words:\n",
    "            if word in vocabulary:\n",
    "                inverted_index[word].append(idx)\n",
    "    \n",
    "\n",
    "# Create a DataFrame from the dictionary\n",
    "inverted_index = pd.DataFrame(list(inverted_index.items()), columns=['word', 'documents_IDs'])\n",
    "inverted_index['documents_IDs'] = inverted_index['documents_IDs'].apply(lambda x: list(set(x)))\n",
    "inverted_index.to_csv('inverted_index.csv', index=False)\n",
    "inverted_index.head()\n"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "#### Function to process the search query"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 13,
   "metadata": {},
   "outputs": [],
   "source": [
    "def execute_query(query, inverted_index, df):\n",
    "    \n",
    "    # Apply text preprocessing to the query\n",
    "    processed_query = preprocess_text(query)\n",
    "\n",
    "    query_words = processed_query.split()\n",
    "\n",
    "    # Find document_IDs for each word in the query using the inverted index\n",
    "    result_document_ids = []\n",
    "    \n",
    "    for word in query_words:\n",
    "\n",
    "        if word in inverted_index['word'].values:\n",
    "\n",
    "            # Get the document_IDs for the current word\n",
    "            word_document_ids = inverted_index.loc[inverted_index['word'] == word, 'documents_IDs'].values[0]\n",
    "\n",
    "            # Add the document_IDs to the result list\n",
    "            result_document_ids.extend(word_document_ids)\n",
    "\n",
    "    # Remove duplicate document_IDs\n",
    "    result_document_ids = list(set(result_document_ids))\n",
    "    result_document_ids.sort()\n",
    "    \n",
    "    # Return the rows corresponding to the document_IDs\n",
    "    return df_updated.loc[result_document_ids, ['courseName', 'universityName', 'description', 'city', 'url']]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 14,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Number of results: 4982\n"
     ]
    },
    {
     "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>courseName</th>\n",
       "      <th>universityName</th>\n",
       "      <th>description</th>\n",
       "      <th>city</th>\n",
       "      <th>url</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>Future Manufacturing and Nanoscale Engineering...</td>\n",
       "      <td>University College London</td>\n",
       "      <td>Register your interest in graduate study at UC...</td>\n",
       "      <td>London</td>\n",
       "      <td>https://www.findamasters.com/masters-degrees/c...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>Marketing - MSc</td>\n",
       "      <td>University of Bristol</td>\n",
       "      <td>This programme, accredited by both the Charter...</td>\n",
       "      <td>Bristol</td>\n",
       "      <td>https://www.findamasters.com/masters-degrees/c...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>Public Policy and Management MSc</td>\n",
       "      <td>King’s College London</td>\n",
       "      <td>Whether you are a social science graduate or a...</td>\n",
       "      <td>London</td>\n",
       "      <td>https://www.findamasters.com/masters-degrees/c...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>6</th>\n",
       "      <td>Construction Project Management - PgDip/PgCert...</td>\n",
       "      <td>Oxford Brookes University</td>\n",
       "      <td>Our MSc in Construction Project Management (CP...</td>\n",
       "      <td>Oxford</td>\n",
       "      <td>https://www.findamasters.com/masters-degrees/c...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>8</th>\n",
       "      <td>Construction Project Management with Industry ...</td>\n",
       "      <td>Heriot-Watt University</td>\n",
       "      <td>OverviewConstruction Project Management at Her...</td>\n",
       "      <td>Edinburgh</td>\n",
       "      <td>https://www.findamasters.com/masters-degrees/c...</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "                                          courseName  \\\n",
       "0  Future Manufacturing and Nanoscale Engineering...   \n",
       "1                                    Marketing - MSc   \n",
       "4                   Public Policy and Management MSc   \n",
       "6  Construction Project Management - PgDip/PgCert...   \n",
       "8  Construction Project Management with Industry ...   \n",
       "\n",
       "              universityName  \\\n",
       "0  University College London   \n",
       "1      University of Bristol   \n",
       "4      King’s College London   \n",
       "6  Oxford Brookes University   \n",
       "8     Heriot-Watt University   \n",
       "\n",
       "                                         description       city  \\\n",
       "0  Register your interest in graduate study at UC...     London   \n",
       "1  This programme, accredited by both the Charter...    Bristol   \n",
       "4  Whether you are a social science graduate or a...     London   \n",
       "6  Our MSc in Construction Project Management (CP...     Oxford   \n",
       "8  OverviewConstruction Project Management at Her...  Edinburgh   \n",
       "\n",
       "                                                 url  \n",
       "0  https://www.findamasters.com/masters-degrees/c...  \n",
       "1  https://www.findamasters.com/masters-degrees/c...  \n",
       "4  https://www.findamasters.com/masters-degrees/c...  \n",
       "6  https://www.findamasters.com/masters-degrees/c...  \n",
       "8  https://www.findamasters.com/masters-degrees/c...  "
      ]
     },
     "execution_count": 14,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "sample_query = 'advanced knowledge'\n",
    "result = execute_query(sample_query, inverted_index, df_updated)\n",
    "print(f'Number of results: {len(result)}')\n",
    "result.head()\n",
    "\n"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Conjunctive querying and Ranking Score"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "#### TF-IDF"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 14,
   "metadata": {},
   "outputs": [
    {
     "data": {
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       "      <th>demanda</th>\n",
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       "      <th>benchtobedsid</th>\n",
       "      <th>...</th>\n",
       "      <th>imech</th>\n",
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       "      <td>0.0</td>\n",
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       "      <td>0.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>0.0</td>\n",
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       "    <tr>\n",
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       "  </tbody>\n",
       "</table>\n",
       "<p>5 rows × 14742 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "   demanda  olmix  changeyear  heavi  methodsdevelop  chemistryopt  2021thi  \\\n",
       "0      0.0    0.0         0.0    0.0             0.0           0.0      0.0   \n",
       "1      0.0    0.0         0.0    0.0             0.0           0.0      0.0   \n",
       "2      0.0    0.0         0.0    0.0             0.0           0.0      0.0   \n",
       "3      0.0    0.0         0.0    0.0             0.0           0.0      0.0   \n",
       "4      0.0    0.0         0.0    0.0             0.0           0.0      0.0   \n",
       "\n",
       "   overviewy  outputsdur  benchtobedsid  ...  imech  challengeswith  \\\n",
       "0        0.0         0.0            0.0  ...    0.0             0.0   \n",
       "1        0.0         0.0            0.0  ...    0.0             0.0   \n",
       "2        0.0         0.0            0.0  ...    0.0             0.0   \n",
       "3        0.0         0.0            0.0  ...    0.0             0.0   \n",
       "4        0.0         0.0            0.0  ...    0.0             0.0   \n",
       "\n",
       "   epidemiologybas  models﻿discov  ﻿not  expertisey  aidriven  purposebuilt  \\\n",
       "0              0.0            0.0   0.0         0.0       0.0           0.0   \n",
       "1              0.0            0.0   0.0         0.0       0.0           0.0   \n",
       "2              0.0            0.0   0.0         0.0       0.0           0.0   \n",
       "3              0.0            0.0   0.0         0.0       0.0           0.0   \n",
       "4              0.0            0.0   0.0         0.0       0.0           0.0   \n",
       "\n",
       "   ingeni  pgc  \n",
       "0     0.0  0.0  \n",
       "1     0.0  0.0  \n",
       "2     0.0  0.0  \n",
       "3     0.0  0.0  \n",
       "4     0.0  0.0  \n",
       "\n",
       "[5 rows x 14742 columns]"
      ]
     },
     "execution_count": 14,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# TF-IDF Vectorization\n",
    "tfidf_vectorizer = TfidfVectorizer(vocabulary=inverted_index['word'].values)\n",
    "tfidf_matrix = tfidf_vectorizer.fit_transform(df_updated['description_lemmatized'])\n",
    "\n",
    "# Convert the TF-IDF matrix to a DataFrame for better visualization\n",
    "df_tfidf = pd.DataFrame(tfidf_matrix.toarray(), columns=tfidf_vectorizer.get_feature_names_out(), index=df_updated.index)\n",
    "df_tfidf.head()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 15,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
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       "        vertical-align: middle;\n",
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       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
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       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
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       "      <th></th>\n",
       "      <th>word</th>\n",
       "      <th>documents_IDs</th>\n",
       "      <th>documents_tfidf_pairs</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>demanda</td>\n",
       "      <td>[5448, 8281, 2875, 7837]</td>\n",
       "      <td>[(2875, 0.19126267808140288), (5448, 0.2069513...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>olmix</td>\n",
       "      <td>[9395, 4110]</td>\n",
       "      <td>[(4110, 0.0320828939609225), (9395, 0.03208289...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>changeyear</td>\n",
       "      <td>[4537, 6246]</td>\n",
       "      <td>[(4537, 0.26121600600970535), (6246, 0.2612160...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>heavi</td>\n",
       "      <td>[9793, 1667, 4044, 11280, 178, 8699]</td>\n",
       "      <td>[(178, 0.23721428466195482), (1667, 0.17454729...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>methodsdevelop</td>\n",
       "      <td>[11545, 821]</td>\n",
       "      <td>[(821, 0.24634459198345213), (11545, 0.2463445...</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "             word                         documents_IDs  \\\n",
       "0         demanda              [5448, 8281, 2875, 7837]   \n",
       "1           olmix                          [9395, 4110]   \n",
       "2      changeyear                          [4537, 6246]   \n",
       "3           heavi  [9793, 1667, 4044, 11280, 178, 8699]   \n",
       "4  methodsdevelop                          [11545, 821]   \n",
       "\n",
       "                               documents_tfidf_pairs  \n",
       "0  [(2875, 0.19126267808140288), (5448, 0.2069513...  \n",
       "1  [(4110, 0.0320828939609225), (9395, 0.03208289...  \n",
       "2  [(4537, 0.26121600600970535), (6246, 0.2612160...  \n",
       "3  [(178, 0.23721428466195482), (1667, 0.17454729...  \n",
       "4  [(821, 0.24634459198345213), (11545, 0.2463445...  "
      ]
     },
     "execution_count": 15,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# Creating the new inverted index\n",
    "inverted_index_tfidf = inverted_index.copy()\n",
    "\n",
    "# create a new column to store the document-tfidf pairs to match the format required\n",
    "inverted_index_tfidf['documents_tfidf_pairs'] = inverted_index_tfidf.word.apply(lambda word: [(doc_id, df_tfidf.loc[doc_id, word]) for doc_id in df_tfidf.index if df_tfidf.loc[doc_id, word] > 0])\n",
    "inverted_index_tfidf.head()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "##### Function that executes the query by applying cosine similarity "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 16,
   "metadata": {},
   "outputs": [],
   "source": [
    "def execute_query_modified(query, inverted_index_tfidf, df, df_tfidf, tfidf_vectorizer):\n",
    "\n",
    "    # Preprocess the query\n",
    "    query_words = preprocess_text(query).split()\n",
    "\n",
    "    # Find related documents\n",
    "    related_docs = set.intersection(*(\n",
    "        set(id for id, _ in inverted_index_tfidf.loc[inverted_index_tfidf['word'] == word, 'documents_tfidf_pairs'].iloc[0])\n",
    "        for word in query_words\n",
    "        if word in inverted_index_tfidf['word'].values\n",
    "    ))\n",
    "\n",
    "    # Return an empty DataFrame if no related documents were found\n",
    "    if not related_docs:\n",
    "        return pd.DataFrame()\n",
    "\n",
    "    # Calculate cosine similarity for each document\n",
    "    query_vectorized = tfidf_vectorizer.transform([' '.join(query_words)])\n",
    "    similarities = {id: cosine_similarity(query_vectorized, df_tfidf.loc[id].values.reshape(1, -1))[0][0] for id in related_docs}\n",
    "\n",
    "    # Sort documents by their similarity score\n",
    "    sorted_doc_ids = sorted(similarities, key=similarities.get, reverse=True)\n",
    "\n",
    "    output = df.loc[sorted_doc_ids, ['courseName', 'universityName', 'description', 'city', 'fees_USD', 'url']]\n",
    "    output['similarity'] = [similarities[id] for id in sorted_doc_ids]\n",
    "\n",
    "    return output.reset_index(drop=True)\n"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "##### Executing the function using the query \"advanced knowledge\""
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 17,
   "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>courseName</th>\n",
       "      <th>universityName</th>\n",
       "      <th>description</th>\n",
       "      <th>city</th>\n",
       "      <th>fees_USD</th>\n",
       "      <th>url</th>\n",
       "      <th>similarity</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>﻿Advanced Computing MSc</td>\n",
       "      <td>King’s College London</td>\n",
       "      <td>Our Advanced Computing MSc provides knowledge ...</td>\n",
       "      <td>London</td>\n",
       "      <td>0.00</td>\n",
       "      <td>https://www.findamasters.com/masters-degrees/c...</td>\n",
       "      <td>0.394570</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>Advanced Computing MSc</td>\n",
       "      <td>King’s College London</td>\n",
       "      <td>Our Advanced Computing MSc provides knowledge ...</td>\n",
       "      <td>London</td>\n",
       "      <td>0.00</td>\n",
       "      <td>https://www.findamasters.com/masters-degrees/c...</td>\n",
       "      <td>0.394570</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>﻿Advancing Practice - MSc</td>\n",
       "      <td>University of Northampton</td>\n",
       "      <td>Our MSc Advancing Practice awards support the ...</td>\n",
       "      <td>Northampton</td>\n",
       "      <td>0.00</td>\n",
       "      <td>https://www.findamasters.com/masters-degrees/c...</td>\n",
       "      <td>0.379379</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>Advancing Practice - MSc</td>\n",
       "      <td>University of Northampton</td>\n",
       "      <td>Our MSc Advancing Practice awards support the ...</td>\n",
       "      <td>Northampton</td>\n",
       "      <td>0.00</td>\n",
       "      <td>https://www.findamasters.com/masters-degrees/c...</td>\n",
       "      <td>0.379379</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>﻿Advanced Healthcare Practice - MSc</td>\n",
       "      <td>Cardiff University</td>\n",
       "      <td>Why study this courseOur MSc Advanced Healthca...</td>\n",
       "      <td>Cardiff</td>\n",
       "      <td>0.00</td>\n",
       "      <td>https://www.findamasters.com/masters-degrees/c...</td>\n",
       "      <td>0.378952</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>5</th>\n",
       "      <td>Advanced Healthcare Practice - MSc</td>\n",
       "      <td>Cardiff University</td>\n",
       "      <td>Why study this courseOur MSc Advanced Healthca...</td>\n",
       "      <td>Cardiff</td>\n",
       "      <td>0.00</td>\n",
       "      <td>https://www.findamasters.com/masters-degrees/c...</td>\n",
       "      <td>0.378952</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>6</th>\n",
       "      <td>﻿Advanced Clinical Practice - MSc</td>\n",
       "      <td>Canterbury Christ Church University</td>\n",
       "      <td>Gain the knowledge and skills needed to become...</td>\n",
       "      <td>Canterbury</td>\n",
       "      <td>1277.33</td>\n",
       "      <td>https://www.findamasters.com/masters-degrees/c...</td>\n",
       "      <td>0.358425</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>7</th>\n",
       "      <td>Advanced Clinical Practice - MSc</td>\n",
       "      <td>Canterbury Christ Church University</td>\n",
       "      <td>Gain the knowledge and skills needed to become...</td>\n",
       "      <td>Canterbury</td>\n",
       "      <td>1277.33</td>\n",
       "      <td>https://www.findamasters.com/masters-degrees/c...</td>\n",
       "      <td>0.358425</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>8</th>\n",
       "      <td>﻿Advanced Mechanical Engineering - MSc (Eng)</td>\n",
       "      <td>University of Leeds</td>\n",
       "      <td>This course offers a broad range of advanced s...</td>\n",
       "      <td>Leeds</td>\n",
       "      <td>24594.47</td>\n",
       "      <td>https://www.findamasters.com/masters-degrees/c...</td>\n",
       "      <td>0.337730</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>9</th>\n",
       "      <td>Advanced Mechanical Engineering - MSc (Eng)</td>\n",
       "      <td>University of Leeds</td>\n",
       "      <td>This course offers a broad range of advanced s...</td>\n",
       "      <td>Leeds</td>\n",
       "      <td>24594.47</td>\n",
       "      <td>https://www.findamasters.com/masters-degrees/c...</td>\n",
       "      <td>0.337730</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>10</th>\n",
       "      <td>Advanced Biomedical Engineering - MSc</td>\n",
       "      <td>University of Bradford</td>\n",
       "      <td>Biomedical engineering is a fast evolving inte...</td>\n",
       "      <td>Bradford</td>\n",
       "      <td>0.00</td>\n",
       "      <td>https://www.findamasters.com/masters-degrees/c...</td>\n",
       "      <td>0.316081</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>11</th>\n",
       "      <td>﻿Advanced Biomedical Engineering - MSc</td>\n",
       "      <td>University of Bradford</td>\n",
       "      <td>Biomedical engineering is a fast evolving inte...</td>\n",
       "      <td>Bradford</td>\n",
       "      <td>0.00</td>\n",
       "      <td>https://www.findamasters.com/masters-degrees/c...</td>\n",
       "      <td>0.316081</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>12</th>\n",
       "      <td>﻿Advanced Clinical Practice - MSc</td>\n",
       "      <td>University of Northampton</td>\n",
       "      <td>Our MSc Advanced Clinical Practice course aims...</td>\n",
       "      <td>Northampton</td>\n",
       "      <td>0.00</td>\n",
       "      <td>https://www.findamasters.com/masters-degrees/c...</td>\n",
       "      <td>0.311557</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>13</th>\n",
       "      <td>Advanced Clinical Practice - MSc</td>\n",
       "      <td>University of Northampton</td>\n",
       "      <td>Our MSc Advanced Clinical Practice course aims...</td>\n",
       "      <td>Northampton</td>\n",
       "      <td>0.00</td>\n",
       "      <td>https://www.findamasters.com/masters-degrees/c...</td>\n",
       "      <td>0.311557</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>14</th>\n",
       "      <td>﻿Advanced Professional Practice (MSc)</td>\n",
       "      <td>University of Gloucestershire</td>\n",
       "      <td>Our lecturers are research active experts who ...</td>\n",
       "      <td>Gloucester</td>\n",
       "      <td>0.00</td>\n",
       "      <td>https://www.findamasters.com/masters-degrees/c...</td>\n",
       "      <td>0.311200</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "                                      courseName  \\\n",
       "0                        ﻿Advanced Computing MSc   \n",
       "1                         Advanced Computing MSc   \n",
       "2                      ﻿Advancing Practice - MSc   \n",
       "3                       Advancing Practice - MSc   \n",
       "4            ﻿Advanced Healthcare Practice - MSc   \n",
       "5             Advanced Healthcare Practice - MSc   \n",
       "6              ﻿Advanced Clinical Practice - MSc   \n",
       "7               Advanced Clinical Practice - MSc   \n",
       "8   ﻿Advanced Mechanical Engineering - MSc (Eng)   \n",
       "9    Advanced Mechanical Engineering - MSc (Eng)   \n",
       "10         Advanced Biomedical Engineering - MSc   \n",
       "11        ﻿Advanced Biomedical Engineering - MSc   \n",
       "12             ﻿Advanced Clinical Practice - MSc   \n",
       "13              Advanced Clinical Practice - MSc   \n",
       "14         ﻿Advanced Professional Practice (MSc)   \n",
       "\n",
       "                         universityName  \\\n",
       "0                 King’s College London   \n",
       "1                 King’s College London   \n",
       "2             University of Northampton   \n",
       "3             University of Northampton   \n",
       "4                    Cardiff University   \n",
       "5                    Cardiff University   \n",
       "6   Canterbury Christ Church University   \n",
       "7   Canterbury Christ Church University   \n",
       "8                   University of Leeds   \n",
       "9                   University of Leeds   \n",
       "10               University of Bradford   \n",
       "11               University of Bradford   \n",
       "12            University of Northampton   \n",
       "13            University of Northampton   \n",
       "14        University of Gloucestershire   \n",
       "\n",
       "                                          description         city  fees_USD  \\\n",
       "0   Our Advanced Computing MSc provides knowledge ...       London      0.00   \n",
       "1   Our Advanced Computing MSc provides knowledge ...       London      0.00   \n",
       "2   Our MSc Advancing Practice awards support the ...  Northampton      0.00   \n",
       "3   Our MSc Advancing Practice awards support the ...  Northampton      0.00   \n",
       "4   Why study this courseOur MSc Advanced Healthca...      Cardiff      0.00   \n",
       "5   Why study this courseOur MSc Advanced Healthca...      Cardiff      0.00   \n",
       "6   Gain the knowledge and skills needed to become...   Canterbury   1277.33   \n",
       "7   Gain the knowledge and skills needed to become...   Canterbury   1277.33   \n",
       "8   This course offers a broad range of advanced s...        Leeds  24594.47   \n",
       "9   This course offers a broad range of advanced s...        Leeds  24594.47   \n",
       "10  Biomedical engineering is a fast evolving inte...     Bradford      0.00   \n",
       "11  Biomedical engineering is a fast evolving inte...     Bradford      0.00   \n",
       "12  Our MSc Advanced Clinical Practice course aims...  Northampton      0.00   \n",
       "13  Our MSc Advanced Clinical Practice course aims...  Northampton      0.00   \n",
       "14  Our lecturers are research active experts who ...   Gloucester      0.00   \n",
       "\n",
       "                                                  url  similarity  \n",
       "0   https://www.findamasters.com/masters-degrees/c...    0.394570  \n",
       "1   https://www.findamasters.com/masters-degrees/c...    0.394570  \n",
       "2   https://www.findamasters.com/masters-degrees/c...    0.379379  \n",
       "3   https://www.findamasters.com/masters-degrees/c...    0.379379  \n",
       "4   https://www.findamasters.com/masters-degrees/c...    0.378952  \n",
       "5   https://www.findamasters.com/masters-degrees/c...    0.378952  \n",
       "6   https://www.findamasters.com/masters-degrees/c...    0.358425  \n",
       "7   https://www.findamasters.com/masters-degrees/c...    0.358425  \n",
       "8   https://www.findamasters.com/masters-degrees/c...    0.337730  \n",
       "9   https://www.findamasters.com/masters-degrees/c...    0.337730  \n",
       "10  https://www.findamasters.com/masters-degrees/c...    0.316081  \n",
       "11  https://www.findamasters.com/masters-degrees/c...    0.316081  \n",
       "12  https://www.findamasters.com/masters-degrees/c...    0.311557  \n",
       "13  https://www.findamasters.com/masters-degrees/c...    0.311557  \n",
       "14  https://www.findamasters.com/masters-degrees/c...    0.311200  "
      ]
     },
     "execution_count": 17,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "query = 'advanced knowledge'\n",
    "query_result = execute_query_modified(query, inverted_index_tfidf, df_updated, df_tfidf, tfidf_vectorizer).head(15)\n",
    "query_result\n",
    "\n"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## 3. Define a new score!"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Adding a new Dataframe to our existing one to write a scoring function."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 15,
   "metadata": {},
   "outputs": [
    {
     "data": {
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       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>2024 RANK</th>\n",
       "      <th>2023 RANK</th>\n",
       "      <th>Institution Name</th>\n",
       "      <th>Country Code</th>\n",
       "      <th>Country</th>\n",
       "      <th>SIZE</th>\n",
       "      <th>FOCUS</th>\n",
       "      <th>RES.</th>\n",
       "      <th>AGE</th>\n",
       "      <th>STATUS</th>\n",
       "      <th>...</th>\n",
       "      <th>International Faculty Rank</th>\n",
       "      <th>International Students Score</th>\n",
       "      <th>International Students Rank</th>\n",
       "      <th>International Research Network Score</th>\n",
       "      <th>International Research Network Rank</th>\n",
       "      <th>Employment Outcomes Score</th>\n",
       "      <th>Employment Outcomes Rank</th>\n",
       "      <th>Sustainability Score</th>\n",
       "      <th>Sustainability Rank</th>\n",
       "      <th>Overall SCORE</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>Massachusetts Institute of Technology (MIT)</td>\n",
       "      <td>US</td>\n",
       "      <td>United States</td>\n",
       "      <td>M</td>\n",
       "      <td>CO</td>\n",
       "      <td>VH</td>\n",
       "      <td>5.0</td>\n",
       "      <td>B</td>\n",
       "      <td>...</td>\n",
       "      <td>56</td>\n",
       "      <td>88.2</td>\n",
       "      <td>128</td>\n",
       "      <td>94.3</td>\n",
       "      <td>58</td>\n",
       "      <td>100.0</td>\n",
       "      <td>4</td>\n",
       "      <td>95.2</td>\n",
       "      <td>51</td>\n",
       "      <td>100.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>2</td>\n",
       "      <td>2</td>\n",
       "      <td>University of Cambridge</td>\n",
       "      <td>UK</td>\n",
       "      <td>United Kingdom</td>\n",
       "      <td>L</td>\n",
       "      <td>FC</td>\n",
       "      <td>VH</td>\n",
       "      <td>5.0</td>\n",
       "      <td>A</td>\n",
       "      <td>...</td>\n",
       "      <td>64</td>\n",
       "      <td>95.8</td>\n",
       "      <td>85</td>\n",
       "      <td>99.9</td>\n",
       "      <td>7</td>\n",
       "      <td>100.0</td>\n",
       "      <td>6</td>\n",
       "      <td>97.3</td>\n",
       "      <td>33=</td>\n",
       "      <td>99.2</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>3</td>\n",
       "      <td>4</td>\n",
       "      <td>University of Oxford</td>\n",
       "      <td>UK</td>\n",
       "      <td>United Kingdom</td>\n",
       "      <td>L</td>\n",
       "      <td>FC</td>\n",
       "      <td>VH</td>\n",
       "      <td>5.0</td>\n",
       "      <td>A</td>\n",
       "      <td>...</td>\n",
       "      <td>110</td>\n",
       "      <td>98.2</td>\n",
       "      <td>60</td>\n",
       "      <td>100.0</td>\n",
       "      <td>1</td>\n",
       "      <td>100.0</td>\n",
       "      <td>3</td>\n",
       "      <td>97.8</td>\n",
       "      <td>26=</td>\n",
       "      <td>98.9</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>4</td>\n",
       "      <td>5</td>\n",
       "      <td>Harvard University</td>\n",
       "      <td>US</td>\n",
       "      <td>United States</td>\n",
       "      <td>L</td>\n",
       "      <td>FC</td>\n",
       "      <td>VH</td>\n",
       "      <td>5.0</td>\n",
       "      <td>B</td>\n",
       "      <td>...</td>\n",
       "      <td>210</td>\n",
       "      <td>66.8</td>\n",
       "      <td>223</td>\n",
       "      <td>100.0</td>\n",
       "      <td>5</td>\n",
       "      <td>100.0</td>\n",
       "      <td>1</td>\n",
       "      <td>96.7</td>\n",
       "      <td>39</td>\n",
       "      <td>98.3</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>5</td>\n",
       "      <td>3</td>\n",
       "      <td>Stanford University</td>\n",
       "      <td>US</td>\n",
       "      <td>United States</td>\n",
       "      <td>L</td>\n",
       "      <td>FC</td>\n",
       "      <td>VH</td>\n",
       "      <td>5.0</td>\n",
       "      <td>B</td>\n",
       "      <td>...</td>\n",
       "      <td>78</td>\n",
       "      <td>51.2</td>\n",
       "      <td>284</td>\n",
       "      <td>95.8</td>\n",
       "      <td>44</td>\n",
       "      <td>100.0</td>\n",
       "      <td>2</td>\n",
       "      <td>94.4</td>\n",
       "      <td>63</td>\n",
       "      <td>98.1</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>5 rows × 29 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "  2024 RANK 2023 RANK                              Institution Name  \\\n",
       "0         1         1  Massachusetts Institute of Technology (MIT)    \n",
       "1         2         2                       University of Cambridge   \n",
       "2         3         4                          University of Oxford   \n",
       "3         4         5                            Harvard University   \n",
       "4         5         3                           Stanford University   \n",
       "\n",
       "  Country Code         Country SIZE FOCUS RES.  AGE STATUS  ...  \\\n",
       "0           US   United States    M    CO   VH  5.0      B  ...   \n",
       "1           UK  United Kingdom    L    FC   VH  5.0      A  ...   \n",
       "2           UK  United Kingdom    L    FC   VH  5.0      A  ...   \n",
       "3           US   United States    L    FC   VH  5.0      B  ...   \n",
       "4           US   United States    L    FC   VH  5.0      B  ...   \n",
       "\n",
       "   International Faculty Rank International Students Score  \\\n",
       "0                          56                         88.2   \n",
       "1                          64                         95.8   \n",
       "2                         110                         98.2   \n",
       "3                         210                         66.8   \n",
       "4                          78                         51.2   \n",
       "\n",
       "   International Students Rank International Research Network Score  \\\n",
       "0                          128                                 94.3   \n",
       "1                           85                                 99.9   \n",
       "2                           60                                100.0   \n",
       "3                          223                                100.0   \n",
       "4                          284                                 95.8   \n",
       "\n",
       "   International Research Network Rank Employment Outcomes Score  \\\n",
       "0                                   58                     100.0   \n",
       "1                                    7                     100.0   \n",
       "2                                    1                     100.0   \n",
       "3                                    5                     100.0   \n",
       "4                                   44                     100.0   \n",
       "\n",
       "   Employment Outcomes Rank Sustainability Score  Sustainability Rank  \\\n",
       "0                         4                 95.2                   51   \n",
       "1                         6                 97.3                  33=   \n",
       "2                         3                 97.8                  26=   \n",
       "3                         1                 96.7                   39   \n",
       "4                         2                 94.4                   63   \n",
       "\n",
       "  Overall SCORE  \n",
       "0         100.0  \n",
       "1          99.2  \n",
       "2          98.9  \n",
       "3          98.3  \n",
       "4          98.1  \n",
       "\n",
       "[5 rows x 29 columns]"
      ]
     },
     "execution_count": 15,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "qs_path = '2024 QS World University Rankings 1.1 (For qs.com).csv'\n",
    "qs_df = pd.read_csv(qs_path)\n",
    "qs_df.head()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Matching the collumn names on dataframes."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 16,
   "metadata": {},
   "outputs": [],
   "source": [
    "if 'fees_USD' in dummy.columns:\n",
    "    # Replace 'fees' column in df_updated with 'fees_USD' column from dummy\n",
    "    df_updated['fees'] = dummy['fees_USD']"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 17,
   "metadata": {},
   "outputs": [],
   "source": [
    "df_updated = df_updated.merge(qs_df, left_on='universityName', right_on='Institution Name', how='left')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 18,
   "metadata": {},
   "outputs": [],
   "source": [
    "# Dropping columns from df_updated\n",
    "columns_to_drop = ['Academic Reputation Rank', 'Employer Reputation Rank','Faculty Student Rank','Faculty Student Rank', 'Citations per Faculty Rank', 'International Faculty Rank', 'International Students Rank', 'International Research Network Rank', 'Employment Outcomes Rank',  'Sustainability Rank', 'Overall SCORE']\n",
    "df_updated = df_updated.drop(labels=columns_to_drop, axis=1)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 19,
   "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>courseName</th>\n",
       "      <th>universityName</th>\n",
       "      <th>facultyName</th>\n",
       "      <th>isItFullTime</th>\n",
       "      <th>description</th>\n",
       "      <th>startDate</th>\n",
       "      <th>fees</th>\n",
       "      <th>modality</th>\n",
       "      <th>duration</th>\n",
       "      <th>city</th>\n",
       "      <th>...</th>\n",
       "      <th>STATUS</th>\n",
       "      <th>Academic Reputation Score</th>\n",
       "      <th>Employer Reputation Score</th>\n",
       "      <th>Faculty Student Score</th>\n",
       "      <th>Citations per Faculty Score</th>\n",
       "      <th>International Faculty Score</th>\n",
       "      <th>International Students Score</th>\n",
       "      <th>International Research Network Score</th>\n",
       "      <th>Employment Outcomes Score</th>\n",
       "      <th>Sustainability Score</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>Future Manufacturing and Nanoscale Engineering...</td>\n",
       "      <td>University College London</td>\n",
       "      <td>Department of Mechanical Engineering</td>\n",
       "      <td>['Full Time']</td>\n",
       "      <td>Register your interest in graduate study at UC...</td>\n",
       "      <td>September</td>\n",
       "      <td>NaN</td>\n",
       "      <td>MSc</td>\n",
       "      <td>1 year full time</td>\n",
       "      <td>London</td>\n",
       "      <td>...</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",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>Marketing - MSc</td>\n",
       "      <td>University of Bristol</td>\n",
       "      <td>Faculty of Social Sciences and Law</td>\n",
       "      <td>['Full Time']</td>\n",
       "      <td>This programme, accredited by both the Charter...</td>\n",
       "      <td>September</td>\n",
       "      <td>NaN</td>\n",
       "      <td>MSc</td>\n",
       "      <td>1 year full-time</td>\n",
       "      <td>Bristol</td>\n",
       "      <td>...</td>\n",
       "      <td>A</td>\n",
       "      <td>74.9</td>\n",
       "      <td>84.7</td>\n",
       "      <td>47.3</td>\n",
       "      <td>64.7</td>\n",
       "      <td>85.5</td>\n",
       "      <td>86.8</td>\n",
       "      <td>84.4</td>\n",
       "      <td>39.6</td>\n",
       "      <td>81.3</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>Global Management of Natural Resources MSc</td>\n",
       "      <td>University College London</td>\n",
       "      <td>Department of Chemical Engineering</td>\n",
       "      <td>['Full Time']</td>\n",
       "      <td>Register your interest in graduate study at UC...</td>\n",
       "      <td>September</td>\n",
       "      <td>16819.44</td>\n",
       "      <td>MSc</td>\n",
       "      <td>1 year full time</td>\n",
       "      <td>London</td>\n",
       "      <td>...</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",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>Business Analytics MSc</td>\n",
       "      <td>University of Stirling</td>\n",
       "      <td>Business, Management and Law</td>\n",
       "      <td>['Full Time', 'Part Time']</td>\n",
       "      <td>Business Analytics focuses on understanding th...</td>\n",
       "      <td>September, January</td>\n",
       "      <td>NaN</td>\n",
       "      <td>PGCert,PGDip,MSc</td>\n",
       "      <td>12 months full-time, 24 months part-time</td>\n",
       "      <td>Stirling</td>\n",
       "      <td>...</td>\n",
       "      <td>A</td>\n",
       "      <td>11.5</td>\n",
       "      <td>10.2</td>\n",
       "      <td>10.5</td>\n",
       "      <td>34.7</td>\n",
       "      <td>71.9</td>\n",
       "      <td>83.5</td>\n",
       "      <td>14.4</td>\n",
       "      <td>14.8</td>\n",
       "      <td>79.8</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>Public Policy and Management MSc</td>\n",
       "      <td>King’s College London</td>\n",
       "      <td>King’s Business School</td>\n",
       "      <td>['Full Time', 'Part Time']</td>\n",
       "      <td>Whether you are a social science graduate or a...</td>\n",
       "      <td>September</td>\n",
       "      <td>NaN</td>\n",
       "      <td>MSc</td>\n",
       "      <td>1 year FT, 2 years PT</td>\n",
       "      <td>London</td>\n",
       "      <td>...</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",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>5 rows × 37 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "                                          courseName  \\\n",
       "0  Future Manufacturing and Nanoscale Engineering...   \n",
       "1                                    Marketing - MSc   \n",
       "2         Global Management of Natural Resources MSc   \n",
       "3                             Business Analytics MSc   \n",
       "4                   Public Policy and Management MSc   \n",
       "\n",
       "              universityName                           facultyName  \\\n",
       "0  University College London  Department of Mechanical Engineering   \n",
       "1      University of Bristol    Faculty of Social Sciences and Law   \n",
       "2  University College London    Department of Chemical Engineering   \n",
       "3     University of Stirling          Business, Management and Law   \n",
       "4      King’s College London                King’s Business School   \n",
       "\n",
       "                 isItFullTime  \\\n",
       "0               ['Full Time']   \n",
       "1               ['Full Time']   \n",
       "2               ['Full Time']   \n",
       "3  ['Full Time', 'Part Time']   \n",
       "4  ['Full Time', 'Part Time']   \n",
       "\n",
       "                                         description           startDate  \\\n",
       "0  Register your interest in graduate study at UC...           September   \n",
       "1  This programme, accredited by both the Charter...           September   \n",
       "2  Register your interest in graduate study at UC...           September   \n",
       "3  Business Analytics focuses on understanding th...  September, January   \n",
       "4  Whether you are a social science graduate or a...           September   \n",
       "\n",
       "       fees          modality                                  duration  \\\n",
       "0       NaN               MSc                          1 year full time   \n",
       "1       NaN               MSc                          1 year full-time   \n",
       "2  16819.44               MSc                          1 year full time   \n",
       "3       NaN  PGCert,PGDip,MSc  12 months full-time, 24 months part-time   \n",
       "4       NaN               MSc                     1 year FT, 2 years PT   \n",
       "\n",
       "       city  ... STATUS Academic Reputation Score Employer Reputation Score  \\\n",
       "0    London  ...    NaN                       NaN                       NaN   \n",
       "1   Bristol  ...      A                      74.9                      84.7   \n",
       "2    London  ...    NaN                       NaN                       NaN   \n",
       "3  Stirling  ...      A                      11.5                      10.2   \n",
       "4    London  ...    NaN                       NaN                       NaN   \n",
       "\n",
       "  Faculty Student Score Citations per Faculty Score  \\\n",
       "0                   NaN                         NaN   \n",
       "1                  47.3                        64.7   \n",
       "2                   NaN                         NaN   \n",
       "3                  10.5                        34.7   \n",
       "4                   NaN                         NaN   \n",
       "\n",
       "  International Faculty Score International Students Score  \\\n",
       "0                         NaN                          NaN   \n",
       "1                        85.5                         86.8   \n",
       "2                         NaN                          NaN   \n",
       "3                        71.9                         83.5   \n",
       "4                         NaN                          NaN   \n",
       "\n",
       "   International Research Network Score Employment Outcomes Score  \\\n",
       "0                                   NaN                       NaN   \n",
       "1                                  84.4                      39.6   \n",
       "2                                   NaN                       NaN   \n",
       "3                                  14.4                      14.8   \n",
       "4                                   NaN                       NaN   \n",
       "\n",
       "  Sustainability Score  \n",
       "0                  NaN  \n",
       "1                 81.3  \n",
       "2                  NaN  \n",
       "3                 79.8  \n",
       "4                  NaN  \n",
       "\n",
       "[5 rows x 37 columns]"
      ]
     },
     "execution_count": 19,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df_updated.head()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 23,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "['courseName', 'universityName', 'facultyName', 'isItFullTime', 'description', 'startDate', 'fees', 'modality', 'duration', 'city', 'country', 'administration', 'url', 'description_lemmatized', 'courseName_lemmatized', 'universityName_lemmatized', 'city_lemmatized', 'fees_USD', '2024 RANK', '2023 RANK', 'Institution Name', 'Country Code', 'Country', 'SIZE', 'FOCUS', 'RES.', 'AGE', 'STATUS', 'Academic Reputation Score', 'Employer Reputation Score', 'Faculty Student Score', 'Citations per Faculty Score', 'International Faculty Score', 'International Students Score', 'International Research Network Score', 'Employment Outcomes Score', 'Sustainability Score']\n"
     ]
    }
   ],
   "source": [
    "# print all column names (factors) of the DataFrame\n",
    "print(df_updated.columns.tolist())"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "So far we removed the unnecessery collumns and removed the Overal Score collumn (because we will define our own scoring function). Now lets start on scoring function."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 20,
   "metadata": {},
   "outputs": [],
   "source": [
    "def calculate_score(document, query):\n",
    "    score = 0\n",
    "\n",
    "    # Weights for different components\n",
    "    academic_weight = 0.15\n",
    "    employer_weight = 0.15\n",
    "    international_faculty_weight = 0.1\n",
    "    international_students_weight = 0.1\n",
    "    citations_weight = 0.1\n",
    "    textual_relevance_weight = 0.4\n",
    "\n",
    "    # Academic and Employer Reputation\n",
    "    if not pd.isnull(document['Academic Reputation Score']):\n",
    "        score += float(document['Academic Reputation Score']) / 100 * academic_weight\n",
    "    if not pd.isnull(document['Employer Reputation Score']):\n",
    "        score += float(document['Employer Reputation Score']) / 100 * employer_weight\n",
    "\n",
    "    # International Faculty and Students Scores\n",
    "    if not pd.isnull(document['International Faculty Score']):\n",
    "        score += float(document['International Faculty Score']) / 100 * international_faculty_weight\n",
    "    if not pd.isnull(document['International Students Score']):\n",
    "        score += float(document['International Students Score']) / 100 * international_students_weight\n",
    "\n",
    "    # Citations per Faculty\n",
    "    if not pd.isnull(document['Citations per Faculty Score']):\n",
    "        score += float(document['Citations per Faculty Score']) / 100 * citations_weight\n",
    "\n",
    "    # Textual Relevance\n",
    "    query_terms = set(query.lower().split())\n",
    "    description_terms = set(document['description_lemmatized'].lower().split())\n",
    "    common_terms = query_terms.intersection(description_terms)\n",
    "    score += len(common_terms) / len(query_terms) * textual_relevance_weight\n",
    "\n",
    "    # Normalization based on the total weights\n",
    "    total_weight = academic_weight + employer_weight + international_faculty_weight + international_students_weight + citations_weight + textual_relevance_weight\n",
    "    normalized_score = (score / total_weight) * 100  # Normalized to be out of 100\n",
    "\n",
    "    return min(normalized_score, 100)  # Ensuring the score doesn't exceed 100"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Re-Creating the inverted index"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 21,
   "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>word</th>\n",
       "      <th>documents_IDs</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>nova</td>\n",
       "      <td>[273, 11539, 11540, 1176, 11578, 95]</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>gather</td>\n",
       "      <td>[133, 5512, 8340, 2583, 5658, 3227, 8094, 8224...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>groupsaccl</td>\n",
       "      <td>[7848, 3127]</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>horticulturist</td>\n",
       "      <td>[712, 5899]</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>quarter</td>\n",
       "      <td>[3169, 4033, 5778, 7155, 8211, 2678, 4790, 9978]</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "             word                                      documents_IDs\n",
       "0            nova               [273, 11539, 11540, 1176, 11578, 95]\n",
       "1          gather  [133, 5512, 8340, 2583, 5658, 3227, 8094, 8224...\n",
       "2      groupsaccl                                       [7848, 3127]\n",
       "3  horticulturist                                        [712, 5899]\n",
       "4         quarter   [3169, 4033, 5778, 7155, 8211, 2678, 4790, 9978]"
      ]
     },
     "execution_count": 21,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# Create a dictionary to store word occurrences with row indices\n",
    "result_dict = {word: [] for word in vocabulary}\n",
    "\n",
    "# Iterate over rows to find occurrences\n",
    "i = 0\n",
    "for idx, description in enumerate(df_updated['description_lemmatized']):\n",
    "\n",
    "    # Handling NaN/float values\n",
    "    if isinstance(description, str):  \n",
    "        words = description.split()\n",
    "        for word in words:\n",
    "            if word in vocabulary:\n",
    "                result_dict[word].append(idx)\n",
    "    \n",
    "words_frequency = {}\n",
    "\n",
    "for index, word in vocabulary_dict.items():\n",
    "    if word in result_dict:\n",
    "        words_frequency[index] = result_dict[word]\n",
    "\n",
    "words_frequency\n",
    "\n",
    "# Create a DataFrame from the dictionary\n",
    "inverted_index = pd.DataFrame(list(result_dict.items()), columns=['word', 'documents_IDs'])\n",
    "inverted_index['documents_IDs'] = inverted_index['documents_IDs'].apply(lambda x: list(set(x)))\n",
    "inverted_index.to_csv('inverted_index.csv', index=False)\n",
    "inverted_index.head()\n"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Now we will add the similarity score calculation (using jaccard similarity) and sorting the master courses in our dataframe regarding on similarity scores and overall scores."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 22,
   "metadata": {},
   "outputs": [],
   "source": [
    "# Define the preprocess_text function\n",
    "def preprocess_text(text):\n",
    "    \n",
    "    # Handling NaN/float values\n",
    "    if not isinstance(text, str):\n",
    "        return ''\n",
    "\n",
    "    # Converting the text to lower case\n",
    "    text = text.lower()\n",
    "\n",
    "    # Removing punctuation\n",
    "    text = text.translate(str.maketrans('', '', string.punctuation))\n",
    "\n",
    "    # Breaking the text into words(tokens)\n",
    "    words = nltk.word_tokenize(text)\n",
    "\n",
    "    # Removing stopwords\n",
    "    stop_words = set(stopwords.words('english'))\n",
    "    words = [word for word in words if word not in stop_words]\n",
    "\n",
    "    # Stemming\n",
    "    stemmer = PorterStemmer()\n",
    "    words = [stemmer.stem(word) for word in words]\n",
    "\n",
    "    # Joining the list of words to form the processed text\n",
    "    processed_text = ' '.join(words)\n",
    "\n",
    "    return processed_text\n",
    "\n",
    "# Function to calculate Jaccard similarity score\n",
    "def calculate_jaccard_similarity(query_terms, document_terms):\n",
    "    intersection = query_terms.intersection(document_terms)\n",
    "    union = query_terms.union(document_terms)\n",
    "    if len(union) == 0:\n",
    "        return 0\n",
    "    return len(intersection) / len(union)\n",
    "\n",
    "# Execute_query function\n",
    "def execute_query(query, inverted_index, df):\n",
    "    # Apply text preprocessing to the query\n",
    "    processed_query = preprocess_text(query)\n",
    "    query_words = processed_query.split()\n",
    "\n",
    "    # Find document_IDs for each word in the query using the inverted index\n",
    "    result_document_ids = []\n",
    "    for word in query_words:\n",
    "        if word in inverted_index['word'].values:\n",
    "            # Retrieve and flatten the list of document IDs\n",
    "            word_document_ids = inverted_index.loc[inverted_index['word'] == word, 'documents_IDs'].explode().tolist()\n",
    "            result_document_ids.extend(word_document_ids)\n",
    "\n",
    "    # Remove duplicate document_IDs and sort\n",
    "    result_document_ids = sorted(set(result_document_ids))\n",
    "\n",
    "    # Retrieve the rows corresponding to the document_IDs\n",
    "    relevant_docs = df.loc[result_document_ids]\n",
    "\n",
    "    # Process the descriptions and calculate similarity scores\n",
    "    relevant_docs['processed_description'] = relevant_docs['description_lemmatized'].apply(preprocess_text)\n",
    "    query_terms_set = set(processed_query.split())\n",
    "    relevant_docs['similarity_score'] = relevant_docs['processed_description'].apply(\n",
    "        lambda doc: calculate_jaccard_similarity(query_terms_set, set(doc.split()))\n",
    "    )\n",
    "\n",
    "    # Calculate relevance scores for each document\n",
    "    relevant_docs['relevance_score'] = relevant_docs.apply(lambda doc: calculate_score(doc, query), axis=1)\n",
    "\n",
    "    # Sort documents first by relevance score, then by similarity score\n",
    "    sorted_results = relevant_docs.sort_values(by=['relevance_score', 'similarity_score'], ascending=[False, False])\n",
    "\n",
    "    # Filter out additional courses from the same university, keeping only the most relevant one\n",
    "    most_relevant_per_university = sorted_results.drop_duplicates(subset='universityName')\n",
    "\n",
    "    # Select specific columns for the final output\n",
    "    final_columns = ['courseName', 'universityName', 'description', 'url', 'fees_USD', 'city', 'similarity_score', 'relevance_score']\n",
    "    final_results = most_relevant_per_university[final_columns]\n",
    "\n",
    "    return final_results"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 27,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Number of results: 253\n"
     ]
    },
    {
     "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>courseName</th>\n",
       "      <th>universityName</th>\n",
       "      <th>description</th>\n",
       "      <th>url</th>\n",
       "      <th>fees_USD</th>\n",
       "      <th>city</th>\n",
       "      <th>similarity_score</th>\n",
       "      <th>relevance_score</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>468</th>\n",
       "      <td>Advanced Computational Methods for Aeronautics...</td>\n",
       "      <td>Imperial College London</td>\n",
       "      <td>This programme is suitable for applicants who ...</td>\n",
       "      <td>https://www.findamasters.com/masters-degrees/c...</td>\n",
       "      <td>0.0</td>\n",
       "      <td>London</td>\n",
       "      <td>0.042553</td>\n",
       "      <td>59.055</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4473</th>\n",
       "      <td>MSc in Software Engineering</td>\n",
       "      <td>University of Oxford</td>\n",
       "      <td>The MSc in Software Engineering teaches the pr...</td>\n",
       "      <td>https://www.findamasters.com/masters-degrees/c...</td>\n",
       "      <td>0.0</td>\n",
       "      <td>Oxford</td>\n",
       "      <td>0.034483</td>\n",
       "      <td>58.700</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3034</th>\n",
       "      <td>Doctor of Public Health</td>\n",
       "      <td>Harvard University</td>\n",
       "      <td>﻿Learn to translate knowledge into powerful re...</td>\n",
       "      <td>https://www.findamasters.com/masters-degrees/c...</td>\n",
       "      <td>0.0</td>\n",
       "      <td>Boston</td>\n",
       "      <td>0.062500</td>\n",
       "      <td>55.140</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>5189</th>\n",
       "      <td>MA/PGDip Heritage Studies</td>\n",
       "      <td>The University of Manchester</td>\n",
       "      <td>Course descriptionOur MA Heritage Studies mast...</td>\n",
       "      <td>https://www.findamasters.com/masters-degrees/c...</td>\n",
       "      <td>0.0</td>\n",
       "      <td>Manchester</td>\n",
       "      <td>0.025641</td>\n",
       "      <td>53.210</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3983</th>\n",
       "      <td>Master of Science/Postgraduate Diploma in Envi...</td>\n",
       "      <td>The Hong Kong University of Science and Techno...</td>\n",
       "      <td>The program is meant to meet the needs of prac...</td>\n",
       "      <td>https://www.findamasters.com/masters-degrees/c...</td>\n",
       "      <td>0.0</td>\n",
       "      <td>Clear Water Bay</td>\n",
       "      <td>0.066667</td>\n",
       "      <td>47.935</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "                                             courseName  \\\n",
       "468   Advanced Computational Methods for Aeronautics...   \n",
       "4473                        MSc in Software Engineering   \n",
       "3034                            Doctor of Public Health   \n",
       "5189                          MA/PGDip Heritage Studies   \n",
       "3983  Master of Science/Postgraduate Diploma in Envi...   \n",
       "\n",
       "                                         universityName  \\\n",
       "468                             Imperial College London   \n",
       "4473                               University of Oxford   \n",
       "3034                                 Harvard University   \n",
       "5189                       The University of Manchester   \n",
       "3983  The Hong Kong University of Science and Techno...   \n",
       "\n",
       "                                            description  \\\n",
       "468   This programme is suitable for applicants who ...   \n",
       "4473  The MSc in Software Engineering teaches the pr...   \n",
       "3034  ﻿Learn to translate knowledge into powerful re...   \n",
       "5189  Course descriptionOur MA Heritage Studies mast...   \n",
       "3983  The program is meant to meet the needs of prac...   \n",
       "\n",
       "                                                    url  fees_USD  \\\n",
       "468   https://www.findamasters.com/masters-degrees/c...       0.0   \n",
       "4473  https://www.findamasters.com/masters-degrees/c...       0.0   \n",
       "3034  https://www.findamasters.com/masters-degrees/c...       0.0   \n",
       "5189  https://www.findamasters.com/masters-degrees/c...       0.0   \n",
       "3983  https://www.findamasters.com/masters-degrees/c...       0.0   \n",
       "\n",
       "                 city  similarity_score  relevance_score  \n",
       "468            London          0.042553           59.055  \n",
       "4473           Oxford          0.034483           58.700  \n",
       "3034           Boston          0.062500           55.140  \n",
       "5189       Manchester          0.025641           53.210  \n",
       "3983  Clear Water Bay          0.066667           47.935  "
      ]
     },
     "execution_count": 27,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "sample_query = 'advanced knowledge'\n",
    "result = execute_query(sample_query, inverted_index, df_updated)\n",
    "print(f'Number of results: {len(result)}')\n",
    "result.head()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "When comparing the similarity scoring functions used in search queries, both cosine and Jaccard similarity have their merits. Cosine similarity is quick and straightforward, measuring the cosine of the angle between two vectors in a multi-dimensional space, making it a favorite for its speed. Jaccard similarity, on the other hand, offers a measure of shared attributes to total unique attributes, giving a different perspective on similarity that goes beyond mere angle measurement.\n",
    "\n",
    "The addition of TF-IDF to cosine similarity aims to refine the search by emphasizing unique terms, but this refinement comes with a cost: time. Building the necessary inverted index slows down the process significantly. In contrast, the Jaccard similarity function, which skips this time-consuming step and cleverly incorporates QS 2024 university rankings data, provides a richer, more detailed set of results. This method not only quickly identifies relevant courses but also ranks them according to the prestige of the institution—a critical factor for many prospective students.\n",
    "\n",
    "Ultimately, while TF-IDF with cosine similarity might delve deeper into the content, the Jaccard method's swift delivery of comprehensive and contextualized results—factoring in both the match of the search terms and the reputation of the universities—proves more practical. It strikes the right balance for users looking for a quick yet informative search experience, marrying the relevance of the courses with the credibility of the academic institutions."
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## 4. Master's Degrees visualization map"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 23,
   "metadata": {},
   "outputs": [],
   "source": [
    "# function to get the coordinates and country of a list of cities\n",
    "def get_city_country_with_coordinates(cities):\n",
    "    # Dictionary to store cities and their coordinates and countries\n",
    "    city_country_coordinates = {}\n",
    "\n",
    "    for city in cities:\n",
    "        # Geolocator instance\n",
    "        geolocator = Nominatim(user_agent=\"my_geocoder\")\n",
    "        location = geolocator.geocode(city)\n",
    "\n",
    "        if location:\n",
    "            city_coordinates = (location.latitude, location.longitude)\n",
    "            country = location.address.split(\",\")[-1].strip()\n",
    "            city_country_coordinates[city] = (city_coordinates, country)\n",
    "\n",
    "        else:\n",
    "            # If the city is not found, set the coordinates to None\n",
    "            city_country_coordinates[city] = (None, \"\")\n",
    "        \n",
    "        time.sleep(1)\n",
    "\n",
    "    return city_country_coordinates"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 24,
   "metadata": {},
   "outputs": [],
   "source": [
    "# list of all the cities\n",
    "cities = set(df_updated['city'].values)\n",
    "# dictionary of cities and their coordinates and countries\n",
    "city_country_coordinates = get_city_country_with_coordinates(cities)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 26,
   "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>City</th>\n",
       "      <th>Coordinates</th>\n",
       "      <th>Country</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>Groningen</td>\n",
       "      <td>(53.2190652, 6.5680077)</td>\n",
       "      <td>Nederland</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>Kingston</td>\n",
       "      <td>(17.9712148, -76.7928128)</td>\n",
       "      <td>Jamaica</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>Cambridge</td>\n",
       "      <td>(52.2055314, 0.1186637)</td>\n",
       "      <td>United Kingdom</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>Heidelberg</td>\n",
       "      <td>(49.4093582, 8.694724)</td>\n",
       "      <td>Deutschland</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>Brussels</td>\n",
       "      <td>(50.8550018, 4.3512333761166175)</td>\n",
       "      <td>België / Belgique / Belgien</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "         City                       Coordinates                      Country\n",
       "0   Groningen           (53.2190652, 6.5680077)                    Nederland\n",
       "1    Kingston         (17.9712148, -76.7928128)                      Jamaica\n",
       "2   Cambridge           (52.2055314, 0.1186637)               United Kingdom\n",
       "3  Heidelberg            (49.4093582, 8.694724)                  Deutschland\n",
       "4    Brussels  (50.8550018, 4.3512333761166175)  België / Belgique / Belgien"
      ]
     },
     "execution_count": 26,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# Create a DataFrame\n",
    "df_city_country_coordinates = pd.DataFrame(list(city_country_coordinates.items()), columns=['City', 'Data'])\n",
    "\n",
    "# Split the 'Data' column into 'Coordinates' and 'Country'\n",
    "df_city_country_coordinates[['Coordinates', 'Country']] = pd.DataFrame(df_city_country_coordinates['Data'].tolist(),\n",
    "                                                                        index=df_city_country_coordinates.index)\n",
    "\n",
    "# Drop the original 'Data' column\n",
    "df_city_country_coordinates = df_city_country_coordinates.drop('Data', axis=1)\n",
    "\n",
    "df_city_country_coordinates.head()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "def create_map(df_city_country_coordinates, query_result):\n",
    "    # Create a map centered around the first city in the coordinates dataframe\n",
    "    map_center = df_city_country_coordinates['Coordinates'].iloc[0]\n",
    "    my_map = folium.Map(location=map_center, zoom_start=2)\n",
    "\n",
    "    # Add markers for each city in the query result dataframe\n",
    "    for city_info in query_result['city'].unique():\n",
    "        # Get the coordinates and country for the current city\n",
    "        city_data = df_city_country_coordinates.loc[\n",
    "            df_city_country_coordinates['City'] == city_info]\n",
    "        city_coordinates = city_data['Coordinates'].values[0]\n",
    "        city_country = city_data['Country'].values[0]\n",
    "\n",
    "        # Get master courses information for the current city\n",
    "        city_courses = query_result[query_result['city'] == city_info]\n",
    "\n",
    "        # Create a label for the marker with master courses information\n",
    "        label = f'<link rel=\"stylesheet\" type=\"text/css\" href=\"styles.css\">'  # Link to external CSS\n",
    "        label += f'<h4 style=\"text-align:center;\">{city_info}, {city_country}</h4><br>'\n",
    "        for index, course in city_courses.iterrows():\n",
    "            label += f'<p><b>Course:</b> {course[\"courseName\"]}</p>'\n",
    "            label += f'<p><b>University:</b> {course[\"universityName\"]}</p>'\n",
    "            \n",
    "            # Separate fees information\n",
    "            fees_text = f'<p><b>Tuition in USD:</b> ${course[\"fees_USD\"]:.2f}</p>' if course[\"fees_USD\"] != 0.00 else \\\n",
    "                        f'<p><b>Tuition in USD:</b> Visit the website</p>'\n",
    "            label += f'{fees_text}'\n",
    "\n",
    "            # Separate URL information\n",
    "            url_text = f'<p><b>URL:</b> <a href=\"{course[\"url\"]}\" target=\"_blank\">{course[\"url\"]}</a></p>'\n",
    "            label += f'{url_text}<br><br>'\n",
    "\n",
    "        # Create and add the marker to the map\n",
    "        iframe = IFrame(html=label, width=500, height=500)\n",
    "        popup = folium.Popup(iframe, max_width=500)\n",
    "        folium.Marker(location=city_coordinates, popup=popup).add_to(my_map)\n",
    "\n",
    "    # Display the map in the notebook\n",
    "    display(my_map)\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 77,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div style=\"width:100%;\"><div style=\"position:relative;width:100%;height:0;padding-bottom:60%;\"><span style=\"color:#565656\">Make this Notebook Trusted to load map: File -> Trust Notebook</span><iframe srcdoc=\"&lt;!DOCTYPE html&gt;\n",
       "&lt;html&gt;\n",
       "&lt;head&gt;\n",
       "    \n",
       "    &lt;meta http-equiv=&quot;content-type&quot; content=&quot;text/html; charset=UTF-8&quot; /&gt;\n",
       "    \n",
       "        &lt;script&gt;\n",
       "            L_NO_TOUCH = false;\n",
       "            L_DISABLE_3D = false;\n",
       "        &lt;/script&gt;\n",
       "    \n",
       "    &lt;style&gt;html, body {width: 100%;height: 100%;margin: 0;padding: 0;}&lt;/style&gt;\n",
       "    &lt;style&gt;#map {position:absolute;top:0;bottom:0;right:0;left:0;}&lt;/style&gt;\n",
       "    &lt;script src=&quot;https://cdn.jsdelivr.net/npm/leaflet@1.9.3/dist/leaflet.js&quot;&gt;&lt;/script&gt;\n",
       "    &lt;script src=&quot;https://code.jquery.com/jquery-3.7.1.min.js&quot;&gt;&lt;/script&gt;\n",
       "    &lt;script src=&quot;https://cdn.jsdelivr.net/npm/bootstrap@5.2.2/dist/js/bootstrap.bundle.min.js&quot;&gt;&lt;/script&gt;\n",
       "    &lt;script src=&quot;https://cdnjs.cloudflare.com/ajax/libs/Leaflet.awesome-markers/2.0.2/leaflet.awesome-markers.js&quot;&gt;&lt;/script&gt;\n",
       "    &lt;link rel=&quot;stylesheet&quot; href=&quot;https://cdn.jsdelivr.net/npm/leaflet@1.9.3/dist/leaflet.css&quot;/&gt;\n",
       "    &lt;link rel=&quot;stylesheet&quot; href=&quot;https://cdn.jsdelivr.net/npm/bootstrap@5.2.2/dist/css/bootstrap.min.css&quot;/&gt;\n",
       "    &lt;link rel=&quot;stylesheet&quot; href=&quot;https://netdna.bootstrapcdn.com/bootstrap/3.0.0/css/bootstrap.min.css&quot;/&gt;\n",
       "    &lt;link rel=&quot;stylesheet&quot; href=&quot;https://cdn.jsdelivr.net/npm/@fortawesome/fontawesome-free@6.2.0/css/all.min.css&quot;/&gt;\n",
       "    &lt;link rel=&quot;stylesheet&quot; href=&quot;https://cdnjs.cloudflare.com/ajax/libs/Leaflet.awesome-markers/2.0.2/leaflet.awesome-markers.css&quot;/&gt;\n",
       "    &lt;link rel=&quot;stylesheet&quot; href=&quot;https://cdn.jsdelivr.net/gh/python-visualization/folium/folium/templates/leaflet.awesome.rotate.min.css&quot;/&gt;\n",
       "    \n",
       "            &lt;meta name=&quot;viewport&quot; content=&quot;width=device-width,\n",
       "                initial-scale=1.0, maximum-scale=1.0, user-scalable=no&quot; /&gt;\n",
       "            &lt;style&gt;\n",
       "                #map_8637fccdcb7edd1dd1dcbe4a9ec85b0b {\n",
       "                    position: relative;\n",
       "                    width: 100.0%;\n",
       "                    height: 100.0%;\n",
       "                    left: 0.0%;\n",
       "                    top: 0.0%;\n",
       "                }\n",
       "                .leaflet-container { font-size: 1rem; }\n",
       "            &lt;/style&gt;\n",
       "        \n",
       "&lt;/head&gt;\n",
       "&lt;body&gt;\n",
       "    \n",
       "    \n",
       "            &lt;div class=&quot;folium-map&quot; id=&quot;map_8637fccdcb7edd1dd1dcbe4a9ec85b0b&quot; &gt;&lt;/div&gt;\n",
       "        \n",
       "&lt;/body&gt;\n",
       "&lt;script&gt;\n",
       "    \n",
       "    \n",
       "            var map_8637fccdcb7edd1dd1dcbe4a9ec85b0b = L.map(\n",
       "                &quot;map_8637fccdcb7edd1dd1dcbe4a9ec85b0b&quot;,\n",
       "                {\n",
       "                    center: [53.2190652, 6.5680077],\n",
       "                    crs: L.CRS.EPSG3857,\n",
       "                    zoom: 2,\n",
       "                    zoomControl: true,\n",
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       "\n",
       "            \n",
       "\n",
       "        \n",
       "    \n",
       "            var tile_layer_4224ff3ebf5cd51528c067ac2ea69886 = L.tileLayer(\n",
       "                &quot;https://{s}.tile.openstreetmap.org/{z}/{x}/{y}.png&quot;,\n",
       "                {&quot;attribution&quot;: &quot;Data by \\u0026copy; \\u003ca target=\\&quot;_blank\\&quot; href=\\&quot;http://openstreetmap.org\\&quot;\\u003eOpenStreetMap\\u003c/a\\u003e, under \\u003ca target=\\&quot;_blank\\&quot; href=\\&quot;http://www.openstreetmap.org/copyright\\&quot;\\u003eODbL\\u003c/a\\u003e.&quot;, &quot;detectRetina&quot;: false, &quot;maxNativeZoom&quot;: 18, &quot;maxZoom&quot;: 18, &quot;minZoom&quot;: 0, &quot;noWrap&quot;: false, &quot;opacity&quot;: 1, &quot;subdomains&quot;: &quot;abc&quot;, &quot;tms&quot;: false}\n",
       "            );\n",
       "        \n",
       "    \n",
       "                tile_layer_4224ff3ebf5cd51528c067ac2ea69886.addTo(map_8637fccdcb7edd1dd1dcbe4a9ec85b0b);\n",
       "    \n",
       "            var marker_1ae0c40f2628c124c3c5ee62c2746b08 = L.marker(\n",
       "                [51.5074456, -0.1277653],\n",
       "                {}\n",
       "            ).addTo(map_8637fccdcb7edd1dd1dcbe4a9ec85b0b);\n",
       "        \n",
       "    \n",
       "        var popup_b85e349cc1beb12d51c804d0ee41071e = L.popup({&quot;maxWidth&quot;: 500});\n",
       "\n",
       "        \n",
       "            \n",
       "                var i_frame_99c9a13bbc3e605bb1e8126ba3e321dc = $(`&lt;iframe src=&quot;data:text/html;charset=utf-8;base64,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&quot; width=&quot;500&quot; style=&quot;border:none !important;&quot; height=&quot;500&quot;&gt;&lt;/iframe&gt;`)[0];\n",
       "                popup_b85e349cc1beb12d51c804d0ee41071e.setContent(i_frame_99c9a13bbc3e605bb1e8126ba3e321dc);\n",
       "            \n",
       "        \n",
       "\n",
       "        marker_1ae0c40f2628c124c3c5ee62c2746b08.bindPopup(popup_b85e349cc1beb12d51c804d0ee41071e)\n",
       "        ;\n",
       "\n",
       "        \n",
       "    \n",
       "    \n",
       "            var marker_d787afac6e9122fe4f5d76f3e6c28e27 = L.marker(\n",
       "                [52.23433665, -0.9028072768185829],\n",
       "                {}\n",
       "            ).addTo(map_8637fccdcb7edd1dd1dcbe4a9ec85b0b);\n",
       "        \n",
       "    \n",
       "        var popup_6e663645554d10949cecfdcf10615df1 = L.popup({&quot;maxWidth&quot;: 500});\n",
       "\n",
       "        \n",
       "            \n",
       "                var i_frame_ede9caa0c927f9c31f8882c28cf2e2b9 = $(`&lt;iframe src=&quot;data:text/html;charset=utf-8;base64,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&quot; width=&quot;500&quot; style=&quot;border:none !important;&quot; height=&quot;500&quot;&gt;&lt;/iframe&gt;`)[0];\n",
       "                popup_6e663645554d10949cecfdcf10615df1.setContent(i_frame_ede9caa0c927f9c31f8882c28cf2e2b9);\n",
       "            \n",
       "        \n",
       "\n",
       "        marker_d787afac6e9122fe4f5d76f3e6c28e27.bindPopup(popup_6e663645554d10949cecfdcf10615df1)\n",
       "        ;\n",
       "\n",
       "        \n",
       "    \n",
       "    \n",
       "            var marker_779b6923298558d0c0b59230d31e43a5 = L.marker(\n",
       "                [51.4816546, -3.1791934],\n",
       "                {}\n",
       "            ).addTo(map_8637fccdcb7edd1dd1dcbe4a9ec85b0b);\n",
       "        \n",
       "    \n",
       "        var popup_b7ca21af0a70b501b9105a41d95c23f9 = L.popup({&quot;maxWidth&quot;: 500});\n",
       "\n",
       "        \n",
       "            \n",
       "                var i_frame_a198e30286663180860ff3d5c447aef7 = $(`&lt;iframe src=&quot;data:text/html;charset=utf-8;base64,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&quot; width=&quot;500&quot; style=&quot;border:none !important;&quot; height=&quot;500&quot;&gt;&lt;/iframe&gt;`)[0];\n",
       "                popup_b7ca21af0a70b501b9105a41d95c23f9.setContent(i_frame_a198e30286663180860ff3d5c447aef7);\n",
       "            \n",
       "        \n",
       "\n",
       "        marker_779b6923298558d0c0b59230d31e43a5.bindPopup(popup_b7ca21af0a70b501b9105a41d95c23f9)\n",
       "        ;\n",
       "\n",
       "        \n",
       "    \n",
       "    \n",
       "            var marker_7e8c03560d0d490770cf42b6c7208959 = L.marker(\n",
       "                [51.2800275, 1.0802533],\n",
       "                {}\n",
       "            ).addTo(map_8637fccdcb7edd1dd1dcbe4a9ec85b0b);\n",
       "        \n",
       "    \n",
       "        var popup_87af740bec14e1dd758c8f0e23023628 = L.popup({&quot;maxWidth&quot;: 500});\n",
       "\n",
       "        \n",
       "            \n",
       "                var i_frame_1d994e840952c692ae21686494a04e78 = $(`&lt;iframe src=&quot;data:text/html;charset=utf-8;base64,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&quot; width=&quot;500&quot; style=&quot;border:none !important;&quot; height=&quot;500&quot;&gt;&lt;/iframe&gt;`)[0];\n",
       "                popup_87af740bec14e1dd758c8f0e23023628.setContent(i_frame_1d994e840952c692ae21686494a04e78);\n",
       "            \n",
       "        \n",
       "\n",
       "        marker_7e8c03560d0d490770cf42b6c7208959.bindPopup(popup_87af740bec14e1dd758c8f0e23023628)\n",
       "        ;\n",
       "\n",
       "        \n",
       "    \n",
       "    \n",
       "            var marker_5c3a7cf6aaf2083d3ead87f468bd8f2e = L.marker(\n",
       "                [53.7974185, -1.5437941],\n",
       "                {}\n",
       "            ).addTo(map_8637fccdcb7edd1dd1dcbe4a9ec85b0b);\n",
       "        \n",
       "    \n",
       "        var popup_4081b46295e14c8ade1c7c9765b47b65 = L.popup({&quot;maxWidth&quot;: 500});\n",
       "\n",
       "        \n",
       "            \n",
       "                var i_frame_8ecb2aef325bec1bee5787618bde7166 = $(`&lt;iframe src=&quot;data:text/html;charset=utf-8;base64,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&quot; width=&quot;500&quot; style=&quot;border:none !important;&quot; height=&quot;500&quot;&gt;&lt;/iframe&gt;`)[0];\n",
       "                popup_4081b46295e14c8ade1c7c9765b47b65.setContent(i_frame_8ecb2aef325bec1bee5787618bde7166);\n",
       "            \n",
       "        \n",
       "\n",
       "        marker_5c3a7cf6aaf2083d3ead87f468bd8f2e.bindPopup(popup_4081b46295e14c8ade1c7c9765b47b65)\n",
       "        ;\n",
       "\n",
       "        \n",
       "    \n",
       "    \n",
       "            var marker_6c7c38c8cf4da57041d8d8a992c43bf1 = L.marker(\n",
       "                [53.7944229, -1.7519186],\n",
       "                {}\n",
       "            ).addTo(map_8637fccdcb7edd1dd1dcbe4a9ec85b0b);\n",
       "        \n",
       "    \n",
       "        var popup_3caf6a26a3918c4c713e690a8225d882 = L.popup({&quot;maxWidth&quot;: 500});\n",
       "\n",
       "        \n",
       "            \n",
       "                var i_frame_d300bafb76610507f8acc89c96146f70 = $(`&lt;iframe src=&quot;data:text/html;charset=utf-8;base64,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&quot; width=&quot;500&quot; style=&quot;border:none !important;&quot; height=&quot;500&quot;&gt;&lt;/iframe&gt;`)[0];\n",
       "                popup_3caf6a26a3918c4c713e690a8225d882.setContent(i_frame_d300bafb76610507f8acc89c96146f70);\n",
       "            \n",
       "        \n",
       "\n",
       "        marker_6c7c38c8cf4da57041d8d8a992c43bf1.bindPopup(popup_3caf6a26a3918c4c713e690a8225d882)\n",
       "        ;\n",
       "\n",
       "        \n",
       "    \n",
       "    \n",
       "            var marker_9e5f0083617790e26dabd8a27aa0a696 = L.marker(\n",
       "                [51.8653705, -2.2458192],\n",
       "                {}\n",
       "            ).addTo(map_8637fccdcb7edd1dd1dcbe4a9ec85b0b);\n",
       "        \n",
       "    \n",
       "        var popup_056936965c08a119cd4b8399b4d84e65 = L.popup({&quot;maxWidth&quot;: 500});\n",
       "\n",
       "        \n",
       "            \n",
       "                var i_frame_5df69d9892da80a6201c5f529814b6b6 = $(`&lt;iframe src=&quot;data:text/html;charset=utf-8;base64,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&quot; width=&quot;500&quot; style=&quot;border:none !important;&quot; height=&quot;500&quot;&gt;&lt;/iframe&gt;`)[0];\n",
       "                popup_056936965c08a119cd4b8399b4d84e65.setContent(i_frame_5df69d9892da80a6201c5f529814b6b6);\n",
       "            \n",
       "        \n",
       "\n",
       "        marker_9e5f0083617790e26dabd8a27aa0a696.bindPopup(popup_056936965c08a119cd4b8399b4d84e65)\n",
       "        ;\n",
       "\n",
       "        \n",
       "    \n",
       "    \n",
       "            var marker_c954f5e1cd268357c8e1387b19077676 = L.marker(\n",
       "                [55.861155, -4.2501687],\n",
       "                {}\n",
       "            ).addTo(map_8637fccdcb7edd1dd1dcbe4a9ec85b0b);\n",
       "        \n",
       "    \n",
       "        var popup_999c11466b7a1d8fd7e81239425ed39a = L.popup({&quot;maxWidth&quot;: 500});\n",
       "\n",
       "        \n",
       "            \n",
       "                var i_frame_5e901430903f7086a9ffc773d9619ef8 = $(`&lt;iframe src=&quot;data:text/html;charset=utf-8;base64,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&quot; width=&quot;500&quot; style=&quot;border:none !important;&quot; height=&quot;500&quot;&gt;&lt;/iframe&gt;`)[0];\n",
       "                popup_999c11466b7a1d8fd7e81239425ed39a.setContent(i_frame_5e901430903f7086a9ffc773d9619ef8);\n",
       "            \n",
       "        \n",
       "\n",
       "        marker_c954f5e1cd268357c8e1387b19077676.bindPopup(popup_999c11466b7a1d8fd7e81239425ed39a)\n",
       "        ;\n",
       "\n",
       "        \n",
       "    \n",
       "    \n",
       "            var marker_4106da680db5910dddb51c1b4ad50749 = L.marker(\n",
       "                [44.8016255, -68.7713289],\n",
       "                {}\n",
       "            ).addTo(map_8637fccdcb7edd1dd1dcbe4a9ec85b0b);\n",
       "        \n",
       "    \n",
       "        var popup_a6a570c7fe30bed82a8c44eed715e9f2 = L.popup({&quot;maxWidth&quot;: 500});\n",
       "\n",
       "        \n",
       "            \n",
       "                var i_frame_a8effd373547084620741d8c0aeac531 = $(`&lt;iframe src=&quot;data:text/html;charset=utf-8;base64,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&quot; width=&quot;500&quot; style=&quot;border:none !important;&quot; height=&quot;500&quot;&gt;&lt;/iframe&gt;`)[0];\n",
       "                popup_a6a570c7fe30bed82a8c44eed715e9f2.setContent(i_frame_a8effd373547084620741d8c0aeac531);\n",
       "            \n",
       "        \n",
       "\n",
       "        marker_4106da680db5910dddb51c1b4ad50749.bindPopup(popup_a6a570c7fe30bed82a8c44eed715e9f2)\n",
       "        ;\n",
       "\n",
       "        \n",
       "    \n",
       "    \n",
       "            var marker_5042be753726871ff1529851749dacdd = L.marker(\n",
       "                [54.9058512, -1.3828727],\n",
       "                {}\n",
       "            ).addTo(map_8637fccdcb7edd1dd1dcbe4a9ec85b0b);\n",
       "        \n",
       "    \n",
       "        var popup_4e04676aa9a85fe1b67467d39a9a34e9 = L.popup({&quot;maxWidth&quot;: 500});\n",
       "\n",
       "        \n",
       "            \n",
       "                var i_frame_1f1c77fb75a67684df72b610c074826a = $(`&lt;iframe src=&quot;data:text/html;charset=utf-8;base64,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&quot; width=&quot;500&quot; style=&quot;border:none !important;&quot; height=&quot;500&quot;&gt;&lt;/iframe&gt;`)[0];\n",
       "                popup_4e04676aa9a85fe1b67467d39a9a34e9.setContent(i_frame_1f1c77fb75a67684df72b610c074826a);\n",
       "            \n",
       "        \n",
       "\n",
       "        marker_5042be753726871ff1529851749dacdd.bindPopup(popup_4e04676aa9a85fe1b67467d39a9a34e9)\n",
       "        ;\n",
       "\n",
       "        \n",
       "    \n",
       "    \n",
       "            var marker_b5c0c54fe9048b779acc0188cfa74f99 = L.marker(\n",
       "                [53.4071991, -2.99168],\n",
       "                {}\n",
       "            ).addTo(map_8637fccdcb7edd1dd1dcbe4a9ec85b0b);\n",
       "        \n",
       "    \n",
       "        var popup_02080ae35b6b2873141abfd8c1a6ee62 = L.popup({&quot;maxWidth&quot;: 500});\n",
       "\n",
       "        \n",
       "            \n",
       "                var i_frame_d081c15bfd319c1d133b0122f652561f = $(`&lt;iframe src=&quot;data:text/html;charset=utf-8;base64,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&quot; width=&quot;500&quot; style=&quot;border:none !important;&quot; height=&quot;500&quot;&gt;&lt;/iframe&gt;`)[0];\n",
       "                popup_02080ae35b6b2873141abfd8c1a6ee62.setContent(i_frame_d081c15bfd319c1d133b0122f652561f);\n",
       "            \n",
       "        \n",
       "\n",
       "        marker_b5c0c54fe9048b779acc0188cfa74f99.bindPopup(popup_02080ae35b6b2873141abfd8c1a6ee62)\n",
       "        ;\n",
       "\n",
       "        \n",
       "    \n",
       "    \n",
       "            var marker_417f2d00aa6186206b1c4bc32bddf60e = L.marker(\n",
       "                [52.4796992, -1.9026911],\n",
       "                {}\n",
       "            ).addTo(map_8637fccdcb7edd1dd1dcbe4a9ec85b0b);\n",
       "        \n",
       "    \n",
       "        var popup_e1eb6bacbbe0d7c054aae4f1b9ac1396 = L.popup({&quot;maxWidth&quot;: 500});\n",
       "\n",
       "        \n",
       "            \n",
       "                var i_frame_9afb9e704cfa557ce90007beec21efd0 = $(`&lt;iframe src=&quot;data:text/html;charset=utf-8;base64,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&quot; width=&quot;500&quot; style=&quot;border:none !important;&quot; height=&quot;500&quot;&gt;&lt;/iframe&gt;`)[0];\n",
       "                popup_e1eb6bacbbe0d7c054aae4f1b9ac1396.setContent(i_frame_9afb9e704cfa557ce90007beec21efd0);\n",
       "            \n",
       "        \n",
       "\n",
       "        marker_417f2d00aa6186206b1c4bc32bddf60e.bindPopup(popup_e1eb6bacbbe0d7c054aae4f1b9ac1396)\n",
       "        ;\n",
       "\n",
       "        \n",
       "    \n",
       "&lt;/script&gt;\n",
       "&lt;/html&gt;\" style=\"position:absolute;width:100%;height:100%;left:0;top:0;border:none !important;\" allowfullscreen webkitallowfullscreen mozallowfullscreen></iframe></div></div>"
      ],
      "text/plain": [
       "<folium.folium.Map at 0x1d21dc32990>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "# Example usage\n",
    "create_map(df_city_country_coordinates, query_result)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "#### Map guide\n",
    "\n",
    "- This tool provides students with an enhanced visualization of the geographical locations of the master's degree programs they are searching for.\n",
    "\n",
    "- The map displays location icons on cities that host the master's degree programs of interest to the student.\n",
    "\n",
    "- Upon clicking a location icon, a pop-up tab appears, presenting detailed information about the master's degree program. This includes the course name, university name, tuition fees in USD, and a clickable URL leading to the official website of the master's degree program."
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## 5. Bonus: Complex search engine "
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Approach explanation\n",
    "\n",
    "- In this question 3 more inverted indices will be made using the same procedures used in the first inverted index in question 2(Conjuctive querying only).\n",
    "\n",
    "- The three inverted indices are for the columns 'CourseName', 'universityName', and 'city'.\n",
    "\n",
    "- After applying the search for each column, the results are concatenated together in the same dataframe.\n",
    "\n",
    "- Moreover, the searching filters(budget, countries, online modality) are applied to the aggregated dataframe.\n",
    "\n",
    "- The duplicates are dropped and the search result is returned."
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "#### Vocabulary of course names"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "# Vocabulary for the 'courseName_lemmatized' column\n",
    "\n",
    "# Create a vocabulary\n",
    "course_vocab = set()\n",
    "\n",
    "# Extract words from the 'courseName_lemmatized' column\n",
    "for name in df_updated['courseName_lemmatized']:\n",
    "     \n",
    "     # Handling NaN/float values\n",
    "     if isinstance(name, str):  \n",
    "        words = name.split()\n",
    "        course_vocab.update(words)\n",
    "\n",
    "# Convert the vocabulary to a dictionary with words as keys and their index as values\n",
    "course_vocab_dict = {idx: word for idx, word in enumerate(course_vocab)}\n"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "#### Inverted index for the course names vocabulary"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 84,
   "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>word</th>\n",
       "      <th>documents_IDs</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>earth</td>\n",
       "      <td>[3330, 2180, 2183, 2188, 2194, 4179, 2196, 219...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>tradit</td>\n",
       "      <td>[3132]</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>graphic</td>\n",
       "      <td>[1346, 3677]</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>grenobl</td>\n",
       "      <td>[1351]</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>mim</td>\n",
       "      <td>[4280, 5538, 4759]</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "      word                                      documents_IDs\n",
       "0    earth  [3330, 2180, 2183, 2188, 2194, 4179, 2196, 219...\n",
       "1   tradit                                             [3132]\n",
       "2  graphic                                       [1346, 3677]\n",
       "3  grenobl                                             [1351]\n",
       "4      mim                                 [4280, 5538, 4759]"
      ]
     },
     "execution_count": 84,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# Create a dictionary to store word occurrences with row indices\n",
    "inverted_index_course = {word: [] for word in course_vocab}\n",
    "\n",
    "# Iterate over rows to find occurrences\n",
    "i = 0\n",
    "for idx, course in enumerate(df_updated['courseName_lemmatized']):\n",
    "\n",
    "    # Handling NaN/float values\n",
    "    if isinstance(course, str):  \n",
    "        words = course.split()\n",
    "        for word in words:\n",
    "            if word in course_vocab:\n",
    "                inverted_index_course[word].append(idx)\n",
    "    \n",
    "# Create a DataFrame from the dictionary\n",
    "inverted_index_course = pd.DataFrame(list(inverted_index_course.items()), columns=['word', 'documents_IDs'])\n",
    "inverted_index_course['documents_IDs'] = inverted_index_course['documents_IDs'].apply(lambda x: list(set(x)))\n",
    "inverted_index_course.to_csv('inverted_index_course.csv', index=False)\n",
    "inverted_index_course.head()\n"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "#### Vocabulary of university names"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 87,
   "metadata": {},
   "outputs": [],
   "source": [
    "# Vocabulary for the 'universityName_lemmatized' column\n",
    "\n",
    "# Create a vocabulary\n",
    "uni_vocab = set()\n",
    "\n",
    "# Extract words from the 'universityName_lemmatized' column\n",
    "for name in df_updated['universityName_lemmatized']:\n",
    "     \n",
    "     # Handling NaN/float values\n",
    "     if isinstance(name, str):  \n",
    "        words = name.split()\n",
    "        uni_vocab.update(words)\n",
    "\n",
    "# Convert the vocabulary to a dictionary with words as keys and their index as values\n",
    "uni_vocab_dict = {idx: word for idx, word in enumerate(uni_vocab)}\n"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "#### Inverted index for the university names vocabulary"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 92,
   "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>word</th>\n",
       "      <th>documents_IDs</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>meridional</td>\n",
       "      <td>[5449]</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>aristotl</td>\n",
       "      <td>[2808]</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>eiphi</td>\n",
       "      <td>[5033, 5036, 5006, 4975, 4986, 4989, 4958, 5018]</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>napier</td>\n",
       "      <td>[5165, 4941]</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>universidad</td>\n",
       "      <td>[3074, 3717, 1823]</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "          word                                     documents_IDs\n",
       "0   meridional                                            [5449]\n",
       "1     aristotl                                            [2808]\n",
       "2        eiphi  [5033, 5036, 5006, 4975, 4986, 4989, 4958, 5018]\n",
       "3       napier                                      [5165, 4941]\n",
       "4  universidad                                [3074, 3717, 1823]"
      ]
     },
     "execution_count": 92,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# Create a dictionary to store word occurrences with row indices\n",
    "inverted_index_uni = {word: [] for word in uni_vocab}\n",
    "\n",
    "# Iterate over rows to find occurrences\n",
    "i = 0\n",
    "for idx, uni in enumerate(df_updated['universityName_lemmatized']):\n",
    "\n",
    "    # Handling NaN/float values\n",
    "    if isinstance(uni, str):  \n",
    "        words = uni.split()\n",
    "        for word in words:\n",
    "            if word in uni_vocab:\n",
    "                inverted_index_uni[word].append(idx)\n",
    "    \n",
    "# Create a DataFrame from the dictionary\n",
    "inverted_index_uni = pd.DataFrame(list(inverted_index_uni.items()), columns=['word', 'documents_IDs'])\n",
    "inverted_index_uni['documents_IDs'] = inverted_index_uni['documents_IDs'].apply(lambda x: list(set(x)))\n",
    "inverted_index_uni.to_csv('inverted_index_uni.csv', index=False)\n",
    "inverted_index_uni.head()\n"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "#### Vocabulary of university cities"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 91,
   "metadata": {},
   "outputs": [],
   "source": [
    "# Vocabulary for the 'city_lemmatized' column\n",
    "\n",
    "# Create a vocabulary\n",
    "cities_vocab = set()\n",
    "\n",
    "# Extract words from the 'city_lemmatized' column\n",
    "for city in df_updated['city_lemmatized']:\n",
    "     \n",
    "     # Handling NaN/float values\n",
    "     if isinstance(city, str):  \n",
    "        words = city.split()\n",
    "        cities_vocab.update(words)\n",
    "\n",
    "# Convert the vocabulary to a dictionary with words as keys and their index as values\n",
    "cities_vocab_dict = {idx: word for idx, word in enumerate(cities_vocab)}\n"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "#### Inverted index for the university cities vocabulary"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 93,
   "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>word</th>\n",
       "      <th>documents_IDs</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>newport</td>\n",
       "      <td>[5921, 1860, 4038, 5980, 3980, 5907, 5909, 597...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>lyon</td>\n",
       "      <td>[2402, 2435]</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>lausann</td>\n",
       "      <td>[5507, 5509]</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>nant</td>\n",
       "      <td>[4258, 3108, 1810, 1266, 275, 5014, 4666, 4731...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>passau</td>\n",
       "      <td>[4608, 4617, 4593, 4596, 4603, 4606]</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "      word                                      documents_IDs\n",
       "0  newport  [5921, 1860, 4038, 5980, 3980, 5907, 5909, 597...\n",
       "1     lyon                                       [2402, 2435]\n",
       "2  lausann                                       [5507, 5509]\n",
       "3     nant  [4258, 3108, 1810, 1266, 275, 5014, 4666, 4731...\n",
       "4   passau               [4608, 4617, 4593, 4596, 4603, 4606]"
      ]
     },
     "execution_count": 93,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# Create a dictionary to store word occurrences with row indices\n",
    "inverted_index_cities = {word: [] for word in cities_vocab}\n",
    "\n",
    "# Iterate over rows to find occurrences\n",
    "i = 0\n",
    "for idx, city in enumerate(df_updated['city_lemmatized']):\n",
    "\n",
    "    # Handling NaN/float values\n",
    "    if isinstance(city, str):  \n",
    "        words = city.split()\n",
    "        for word in words:\n",
    "            if word in cities_vocab:\n",
    "                inverted_index_cities[word].append(idx)\n",
    "    \n",
    "# Create a DataFrame from the dictionary\n",
    "inverted_index_cities = pd.DataFrame(list(inverted_index_cities.items()), columns=['word', 'documents_IDs'])\n",
    "inverted_index_cities['documents_IDs'] = inverted_index_cities['documents_IDs'].apply(lambda x: list(set(x)))\n",
    "inverted_index_cities.to_csv('inverted_index_cities.csv', index=False)\n",
    "inverted_index_cities.head()\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 85,
   "metadata": {},
   "outputs": [],
   "source": [
    "# A function that retrieves the user's search criteria\n",
    "\n",
    "def get_search_criteria():\n",
    "\n",
    "    # Get the coures name from the user\n",
    "    course = input('For any criterion you dont want to specify please type \"None\", \\n Enter the course name: ')\n",
    "\n",
    "    # Get the university name from the user\n",
    "    uni = input('Enter the university name: ')\n",
    "\n",
    "    # Get the university city from the user\n",
    "    city = input('Enter the university city: ')\n",
    "\n",
    "    # Get the user's maximum budget\n",
    "    budget = input('Enter your maximum budget (in USD): ')\n",
    "\n",
    "    # Get the user's preferred duration\n",
    "    started = input('Do want to consider only the courses that has started? (Yes/No): ')\n",
    "\n",
    "    # Get the user's preferred modality\n",
    "    modality = input('Enter your preferred modality (Online/On campus): ')\n",
    "\n",
    "    # Get the user's preferred location\n",
    "    location = input('Enter your preferred countries separated by a comma: ')\n",
    "    \n",
    "    # Split the string into a list using the comma as the delimiter\n",
    "    location = ''.join(location)\n",
    "    location = location.split(', ')\n",
    "    \n",
    "\n",
    "    # Create a dictionary to store the search criteria\n",
    "    search_criteria = {\n",
    "        'course': course,\n",
    "        'uni': uni,\n",
    "        'city': city,\n",
    "        'budget': budget,\n",
    "        'started': started,\n",
    "        'modality': modality,\n",
    "        'location': location,\n",
    "    }\n",
    "\n",
    "    return search_criteria"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "##### User Manual\n",
    "\n",
    " **Steps:**\n",
    " \n",
    "    1. Course Name:\n",
    "        - Prompt the user to enter the course name.\n",
    "\n",
    "    2. University Name:\n",
    "        - Prompt the user to enter the university name.\n",
    "\n",
    "    3. University City:\n",
    "        - Prompt the user to enter the university city.\n",
    "\n",
    "    4. Budget\n",
    "        - Prompt the user to enter their maximum budget in USD.\n",
    "\n",
    "    5. Course Start\n",
    "        - Ask the user if they want to consider only courses that have already started (Yes/No).\n",
    "\n",
    "    6. Modality\n",
    "        - Prompt the user to enter their preferred modality (Online/On campus).\n",
    "\n",
    "    7. Location\n",
    "        - Prompt the user to enter their preferred countries, separated by commas.\n",
    "\n",
    "    - Input Validation\n",
    "        - The user *MUST* type \"None\" for any criterion they don't want to specify.\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 25,
   "metadata": {},
   "outputs": [],
   "source": [
    "# A dictionary containing the user's search criteria\n",
    "filters_dict = get_search_criteria()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 121,
   "metadata": {},
   "outputs": [],
   "source": [
    "def execute_complex_query(query, inverted_index, df, filters_dict):\n",
    "    \n",
    "    # Apply text preprocessing to the query\n",
    "    processed_query = preprocess_text(query)\n",
    "\n",
    "    query_words = processed_query.split()\n",
    "\n",
    "    # Find document_IDs for each word in the query using the inverted index\n",
    "    result_document_ids = []\n",
    "    \n",
    "    for word in query_words:\n",
    "\n",
    "        if word in inverted_index['word'].values:\n",
    "\n",
    "            # Get the document_IDs for the current word\n",
    "            word_document_ids = inverted_index.loc[inverted_index['word'] == word, 'documents_IDs'].values[0]\n",
    "\n",
    "            # Add the document_IDs to the result list\n",
    "            result_document_ids.extend(word_document_ids)\n",
    "\n",
    "    # Remove duplicate document_IDs\n",
    "    result_document_ids = list(set(result_document_ids))\n",
    "    result_document_ids.sort()\n",
    "    \n",
    "    # Return the rows corresponding to the document_IDs\n",
    "    result =  df.loc[result_document_ids, ['courseName', 'universityName', 'description', 'city', 'startDate' ,'country', 'administration', \n",
    "                                           'fees_USD',  'url']]\n",
    "\n",
    "    # Applying the search criteria\n",
    "\n",
    "    if filters_dict['course'] != 'None':\n",
    "        course = preprocess_text(filters_dict['course'])\n",
    "        course_words = course.split()\n",
    "\n",
    "        # Find document_IDs for each word in the query using the inverted index\n",
    "        result_document_ids = []\n",
    "\n",
    "        for word in course_words:\n",
    "\n",
    "            if word in inverted_index_course['word'].values:\n",
    "\n",
    "                # Get the document_IDs for the current word\n",
    "                word_document_ids = inverted_index_course.loc[inverted_index_course['word'] == word, 'documents_IDs'].values[0]\n",
    "\n",
    "                # Add the document_IDs to the result list\n",
    "                result_document_ids.extend(word_document_ids)\n",
    "\n",
    "    # Remove duplicate document_IDs\n",
    "    result_document_ids = list(set(result_document_ids))\n",
    "    result_document_ids.sort()\n",
    "\n",
    "    result1 =  df.loc[result_document_ids, ['courseName', 'universityName', 'description', 'city', 'startDate' ,'country', 'administration',\n",
    "                                            'fees_USD', 'url']]\n",
    "\n",
    "    if filters_dict['uni'] != 'None':\n",
    "        uni = preprocess_text(filters_dict['uni'])\n",
    "        uni_words = uni.split()\n",
    "\n",
    "        # Find document_IDs for each word in the query using the inverted index\n",
    "        result_document_ids = []\n",
    "\n",
    "        for word in uni_words:\n",
    "\n",
    "            if word in inverted_index_uni['word'].values:\n",
    "\n",
    "                # Get the document_IDs for the current word\n",
    "                word_document_ids = inverted_index_uni.loc[inverted_index_uni['word'] == word, 'documents_IDs'].values[0]\n",
    "\n",
    "                # Add the document_IDs to the result list\n",
    "                result_document_ids.extend(word_document_ids)\n",
    "\n",
    "    # Remove duplicate document_IDs\n",
    "    result_document_ids = list(set(result_document_ids))\n",
    "    result_document_ids.sort()\n",
    "\n",
    "    result2 =  df.loc[result_document_ids, ['courseName', 'universityName', 'description', 'city', 'startDate' ,'country', 'administration',\n",
    "                                            'fees_USD',  'url']]\n",
    "    \n",
    "\n",
    "\n",
    "    if filters_dict['city'] != 'None':\n",
    "        city = preprocess_text(filters_dict['city'])\n",
    "        city_words = city.split()\n",
    "\n",
    "        # Find document_IDs for each word in the query using the inverted index\n",
    "        result_document_ids = []\n",
    "\n",
    "        for word in city_words:\n",
    "\n",
    "            if word in inverted_index_cities['word'].values:\n",
    "\n",
    "                # Get the document_IDs for the current word\n",
    "                word_document_ids = inverted_index_cities.loc[inverted_index_cities['word'] == word, 'documents_IDs'].values[0]\n",
    "\n",
    "                # Add the document_IDs to the result list\n",
    "                result_document_ids.extend(word_document_ids)\n",
    "\n",
    "    # Remove duplicate document_IDs\n",
    "    result_document_ids = list(set(result_document_ids))\n",
    "    result_document_ids.sort()\n",
    "\n",
    "    result3 =  df.loc[result_document_ids, ['courseName', 'universityName', 'description', 'city', 'startDate' ,'country', 'administration',\n",
    "                                            'fees_USD',  'url']]\n",
    "\n",
    "    # Aggregating the data from the different inverted indices\n",
    "    result = pd.concat([result, result1, result2, result3], ignore_index=True)\n",
    "    \n",
    "    if result is not None:\n",
    "        \n",
    "    # Applying budget filter\n",
    "        if filters_dict['budget'] != 'None':\n",
    "            result = result.drop(result[result['fees_USD'] < float(filters_dict['budget'])].index, inplace=False)\n",
    "\n",
    "        # applying modality filter\n",
    "        if filters_dict['modality'] != 'None':\n",
    "            result = result.drop(result[result['administration'] != filters_dict['modality']].index, inplace=False)\n",
    "\n",
    "        # Applying university filter\n",
    "        if filters_dict['uni'] != 'None':\n",
    "                result = result.drop(result[result['universityName'] != filters_dict['uni']].index, inplace=False)\n",
    "\n",
    "        # Applying countries filter \n",
    "        if filters_dict['location'] != 'None':\n",
    "                result = result.drop(result[~result['country'].isin(filters_dict['location'])].index, inplace=False)\n",
    "\n",
    "        # Applying city filter\n",
    "        if filters_dict['city'] != 'None':\n",
    "            result = result.drop(result[result['city'] != filters_dict['city']].index, inplace=False)\n",
    "\n",
    "    #Drop duplicates    \n",
    "    result = result.drop_duplicates()\n",
    "\n",
    "    return result\n",
    "\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 122,
   "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>courseName</th>\n",
       "      <th>universityName</th>\n",
       "      <th>description</th>\n",
       "      <th>city</th>\n",
       "      <th>startDate</th>\n",
       "      <th>country</th>\n",
       "      <th>administration</th>\n",
       "      <th>fees_USD</th>\n",
       "      <th>url</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>459</th>\n",
       "      <td>Clinical Neurology (by Distance Learning) MSc</td>\n",
       "      <td>University College London</td>\n",
       "      <td>Register your interest in graduate study at UC...</td>\n",
       "      <td>London</td>\n",
       "      <td>September</td>\n",
       "      <td>United Kingdom</td>\n",
       "      <td>Online</td>\n",
       "      <td>11186.52</td>\n",
       "      <td>https://www.findamasters.com/masters-degrees/c...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3378</th>\n",
       "      <td>Business Information Systems Management MSc</td>\n",
       "      <td>Middlesex University</td>\n",
       "      <td>Business information, and using it to increase...</td>\n",
       "      <td>London</td>\n",
       "      <td>October, January</td>\n",
       "      <td>United Kingdom</td>\n",
       "      <td>Online</td>\n",
       "      <td>12455.91</td>\n",
       "      <td>https://www.findamasters.com/masters-degrees/c...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3421</th>\n",
       "      <td>International Public Policy MSc</td>\n",
       "      <td>Queen Mary University of London</td>\n",
       "      <td>Start date: January 2024The International Publ...</td>\n",
       "      <td>London</td>\n",
       "      <td>May, September</td>\n",
       "      <td>United Kingdom</td>\n",
       "      <td>Online</td>\n",
       "      <td>10547.85</td>\n",
       "      <td>https://www.findamasters.com/masters-degrees/c...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3600</th>\n",
       "      <td>Developmental Transactional Analysis [DTA]</td>\n",
       "      <td>Professional Development International</td>\n",
       "      <td>Transactional analysis is often associated wit...</td>\n",
       "      <td>London</td>\n",
       "      <td>Any Month</td>\n",
       "      <td>United Kingdom</td>\n",
       "      <td>Online</td>\n",
       "      <td>NaN</td>\n",
       "      <td>https://www.findamasters.com/masters-degrees/c...</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "                                         courseName  \\\n",
       "459   Clinical Neurology (by Distance Learning) MSc   \n",
       "3378    Business Information Systems Management MSc   \n",
       "3421                International Public Policy MSc   \n",
       "3600     Developmental Transactional Analysis [DTA]   \n",
       "\n",
       "                              universityName  \\\n",
       "459                University College London   \n",
       "3378                    Middlesex University   \n",
       "3421         Queen Mary University of London   \n",
       "3600  Professional Development International   \n",
       "\n",
       "                                            description    city  \\\n",
       "459   Register your interest in graduate study at UC...  London   \n",
       "3378  Business information, and using it to increase...  London   \n",
       "3421  Start date: January 2024The International Publ...  London   \n",
       "3600  Transactional analysis is often associated wit...  London   \n",
       "\n",
       "             startDate         country administration  fees_USD  \\\n",
       "459          September  United Kingdom         Online  11186.52   \n",
       "3378  October, January  United Kingdom         Online  12455.91   \n",
       "3421    May, September  United Kingdom         Online  10547.85   \n",
       "3600         Any Month  United Kingdom         Online       NaN   \n",
       "\n",
       "                                                    url  \n",
       "459   https://www.findamasters.com/masters-degrees/c...  \n",
       "3378  https://www.findamasters.com/masters-degrees/c...  \n",
       "3421  https://www.findamasters.com/masters-degrees/c...  \n",
       "3600  https://www.findamasters.com/masters-degrees/c...  "
      ]
     },
     "execution_count": 122,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# Example usage\n",
    "filters_dict = { 'course': 'advanced knowledge', 'uni': 'None', 'city': 'London', 'budget': '10000', 'started': 'Yes', 'modality': 'Online',\n",
    "                 'location': ['United Kingdom', 'England', 'Germany', 'France', 'Spain', 'Italy', 'Netherlands', 'Sweden', 'Switzerland', 'Belgium', 'Austria', 'Denmark',\n",
    "                               'Norway', 'Finland', 'Ireland', 'Portugal', 'Greece', 'Poland', 'Romania', 'Czech Republic', 'Hungary', 'Bulgaria', 'Croatia', 'Slovakia']}\n",
    "\n",
    "complex_search = execute_complex_query('advanced knowledge', inverted_index, df_updated, filters_dict)\n",
    "complex_search.head(10)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Command Line Question"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "As done in the previous assignment, we encourage using the command as a feature that Data Scientists must master.\n",
    "\n",
    "Note: To answer the question in this section, you must strictly use command line tools. We will reject any other method of response. The final script must be placed in CommandLine.sh.\n",
    "\n",
    "First, take the course_i.tsv files you created in point 1 and merge them using Linux commands (Hint: make sure that the first row containing the column names appears only once).\n",
    "\n",
    "Now that you have your merged file named merged_courses.tsv, use Linux commands to answer the following questions:\n",
    "\n",
    "Which country offers the most Master's Degrees? Which city?\n",
    "How many colleges offer Part-Time education?\n",
    "Print the percentage of courses in Engineering (the word \"Engineer\" is contained in the course's name).\n",
    "Important note: You may work on this question in any environment (AWS, your PC command line, Jupyter notebook, etc.), but the final script must be placed in CommandLine.sh, which must be executable. Please run the script and include a screenshot of the output in the notebook for evaluation."
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Script Purpose\n",
    "\n",
    "The script is designed to merge data from multiple TSV (Tab-Separated Values) files into a single file and then perform specific analyses on the merged data. The analyses include finding which country and city offer the most Master's Degrees, counting how many colleges offer Part-Time education, and calculating the percentage of courses related to Engineering."
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Script Breakdown\n",
    "\n",
    "Setting Up the Environment"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "metadata": {},
   "outputs": [],
   "source": [
    "#!/bin/bash"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "This line indicates that the script should be run using the Bash shell, a common command-line interpreter."
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "DIR=\"/Users/onurozansunger/Desktop/ADM-HW3-Group-26/HW3/courses_tsv\"\n",
    "cd $DIR"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "These lines set the working directory to the folder containing the TSV files and then change to that directory."
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Initializing the Merged File:"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "> merged_courses.tsv"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "This command creates (or clears, if it already exists) a file named merged_courses.tsv. This file will be used to store the merged data."
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Merging Data from Individual Files"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "for i in {0..5999}\n",
    "do\n",
    "    FILE=\"course_$i.tsv\"\n",
    "    if [ -f \"$FILE\" ]; then\n",
    "        head -n 1 \"$FILE\" >> merged_courses.tsv\n",
    "    fi\n",
    "done"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "This loop iterates over file names from course_0.tsv to course_5999.tsv.\n",
    "\n",
    "For each file, it checks if the file exists (-f \"$FILE\").\n",
    "\n",
    "If the file exists, it takes the first line from each file (head -n 1 \"$FILE\") and appends it to merged_courses.tsv. This is done because the data of interest is in the header line of each file.\n"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Data Analysis\n",
    "\n",
    "The script performs several analyses on the merged data:\n",
    "\n",
    "1. Find the Country with the Most Master's Degrees:\n",
    "\n",
    "Method: Utilizes awk to filter rows where the degree type column matches \"MSc\".\n",
    "\n",
    "Process: Sorts and counts occurrences by country.\n",
    "\n",
    "Output: Displays the country with the highest count.\n",
    "\n",
    "2. Find the City with the Most Master's Degrees:\n",
    "\n",
    "Method: Similar to the country analysis, but focuses on cities.\n",
    "\n",
    "Process: Sorts and counts occurrences by city.\n",
    "\n",
    "Output: Shows the city with the most Master's Degrees.\n",
    "\n",
    "3. Count Colleges Offering Part-Time Education:\n",
    "\n",
    "Method: Filters rows where the education mode column matches \"Part Time\".\n",
    "\n",
    "Process: Counts unique college names that offer part-time education.\n",
    "\n",
    "Output: Provides the total number of colleges offering part-time education.\n",
    "\n",
    "4. Calculate the Percentage of Engineering Courses:\n",
    "\n",
    "Method: Counts the total number of courses and the number of courses with \"Engineering\" or \"Engineer\" in their names.\n",
    "\n",
    "Process: Calculates the percentage of engineering courses in relation to the total course count.\n",
    "\n",
    "Output: Shows the percentage of engineering courses."
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Output Results\n",
    "\n",
    "The script concludes by echoing the results of the analyses to the console, providing insights into the dataset's contents in terms of degree types, education modes, and course subjects."
   ]
  },
  {
   "cell_type": "raw",
   "metadata": {},
   "source": [
    "echo \"Country with the most Master's Degrees: $most_masters_country\"\n",
    "echo \"City with the most Master's Degrees: $most_masters_city\"\n",
    "echo \"Number of colleges offering Part-Time education: $part_time_colleges\"\n",
    "echo \"Percentage of Engineering courses: $engineering_percentage%\""
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "# Full script:\n",
    "\n",
    "#!/bin/bash\n",
    "\n",
    "# Define the directory containing the TSV files\n",
    "DIR=\"/Users/onurozansunger/Desktop/ADM-HW3-Group-26/HW3/courses_tsv\"\n",
    "\n",
    "# Navigate to the directory\n",
    "cd $DIR\n",
    "\n",
    "# Initialize the merged file (it will be empty initially)\n",
    "> merged_courses.tsv\n",
    "\n",
    "# Append the first line (header) of each file\n",
    "for i in {0..5999}\n",
    "do\n",
    "    FILE=\"course_$i.tsv\"\n",
    "    if [ -f \"$FILE\" ]; then\n",
    "        head -n 1 \"$FILE\" >> merged_courses.tsv\n",
    "    fi\n",
    "done\n",
    "\n",
    "# Adjusted Column numbers based on the provided file structure\n",
    "degree_type_col=8\n",
    "education_mode_col=4\n",
    "city_col=10\n",
    "country_col=11\n",
    "course_name_col=1\n",
    "\n",
    "# Find the country with the most Master's Degrees\n",
    "most_masters_country=$(awk -F'\\t' -v col=\"$degree_type_col\" -v country=\"$country_col\" \\\n",
    "    '$col==\"MSc\" {print $country}' merged_courses.tsv | sort | uniq -c | sort -nr | head -n 1)\n",
    "\n",
    "# Find the city with the most Master's Degrees\n",
    "most_masters_city=$(awk -F'\\t' -v col=\"$degree_type_col\" -v city=\"$city_col\" \\\n",
    "    '$col==\"MSc\" {print $city}' merged_courses.tsv | sort | uniq -c | sort -nr | head -n 1)\n",
    "\n",
    "# Count how many colleges offer Part-Time education\n",
    "part_time_colleges=$(awk -F'\\t' -v mode=\"$education_mode_col\" \\\n",
    "    '$mode ~ /Part Time/' merged_courses.tsv | cut -f 2 | sort | uniq | wc -l)\n",
    "\n",
    "# Calculate the percentage of Engineering courses\n",
    "total_courses=$(wc -l < merged_courses.tsv)\n",
    "engineering_courses=$(awk -F'\\t' -v name=\"$course_name_col\" \\\n",
    "    '$name ~ /Engineering|Engineer/' merged_courses.tsv | wc -l)\n",
    "engineering_percentage=$((engineering_courses * 100 / total_courses))\n",
    "\n",
    "# Output the results\n",
    "echo \"Country with the most Master's Degrees: $most_masters_country\"\n",
    "echo \"City with the most Master's Degrees: $most_masters_city\"\n",
    "echo \"Number of colleges offering Part-Time education: $part_time_colleges\"\n",
    "echo \"Percentage of Engineering courses: $engineering_percentage%\"\n",
    "\n",
    "\n",
    "\n"
   ]
  },
  {
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"
    }
   },
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Screenshot:\n",
    "\n",
    "![commanline.sh screenshot.png](attachment:dc382f3e-87f8-49cb-a066-da8764227f25.png)\n"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Algorithmic Question"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "1. **Implement a code to solve the above mentioned problem.**"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "sol_found = False\n",
    "\n",
    "def reports_generation(list_hours, sumHours, partial_solution=[], idx=0, report=[]):\n",
    "    global sol_found\n",
    "\n",
    "    #Stop if a solution is found\n",
    "    if sol_found:\n",
    "        return\n",
    "\n",
    "    if idx == len(list_hours):\n",
    "        if sum(partial_solution) == sumHours:\n",
    "            report.append(partial_solution.copy())\n",
    "            sol_found = True\n",
    "        return\n",
    "\n",
    "    for element in list_hours[idx]:\n",
    "        partial_solution.append(element)\n",
    "        #Prune the partial solutions with an amount of hours > sumHours\n",
    "        if sum(partial_solution) <= sumHours:\n",
    "            reports_generation(list_hours, sumHours, partial_solution, idx + 1, report)\n",
    "        partial_solution.pop()\n",
    "\n",
    "    reports_generation(list_hours, sumHours, partial_solution, idx + 1, report)\n",
    "\n",
    "    return report\n",
    "\n",
    "def main():\n",
    "    global sol_found\n",
    "\n",
    "    line1 = input().split()\n",
    "    d = int(line1[0])\n",
    "    sumHours = int(line1[1])\n",
    "\n",
    "    min_max_hours = []\n",
    "    list_hours = []\n",
    "\n",
    "    for i in range(d):\n",
    "        line = input().split()\n",
    "        min_max_hours.append((int(line[0]), int(line[1])))\n",
    "        list_hours.append(list(range(min_max_hours[-1][0], min_max_hours[-1][1] + 1)))\n",
    "\n",
    "    sol_found = False\n",
    "    reports = reports_generation(list_hours, sumHours)\n",
    "\n",
    "    if len(reports) == 0:\n",
    "        print(\"NO\")\n",
    "    else:\n",
    "        print(\"YES\")\n",
    "        print(\" \".join(map(str, reports[0])))\n",
    "\n",
    "main()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "2. **What is the time complexity (the Big O notation) of your solution? Please provide a detailed explanation of how you calculated the time complexity.**\n"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "In this case, the complexity of the algorithm is exponential. Let's define L_i as the number of candidate hours to work for each day, for example, if we have a day with min_hour = 3 and max_hour = 5, the list will be [3, 4, 5] and therefore L will be equal to 3.\n",
    "\n",
    "As we have D days, and we must generate all possible combinations between the D days, the cost consists of seeing if each element of the different lists would be part of the final solution or not, this is defined by the formula $2^{L_1 + L_2 + \\ldots + L_N}$, so the cost is exponential.\n",
    "\n",
    "Then the cost of generating the lists with the different available hours of each day is O(n), that is, linear with respect to the number of days.\n",
    "\n",
    "Therefore, the complexity is O($2^{L_1 + L_2 + \\ldots + L_N}$).\n",
    "\n",
    "It must be remembered that this would be in the worst case, that is, finding a solution at the end such that the sum of the elements of the list found is equal to sumHours.\n",
    "\n",
    "In our case, we make the code more efficient since when we find a first solution, we end the algorithm and also, those partial solutions that make the number of hours exceed sumHours are discarded and do not continue generating combinations."
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "3. **Ask ChatGPT or any other LLM chatbot tool to check your code's time complexity (the Big O notation). Compare your answer to theirs. Do you believe this is correct? If the two differ, which one is right? (why?)**\n"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "The answer of Bing AI is:\n",
    "\n",
    "The time complexity of the given code is O($n^m$), where n is the maximum number of hours in a day and m is the number of days. This is because the code generates all possible combinations of hours for each day, which results in a time complexity that is exponential in the number of days. The reports_generation function is a recursive function that generates all possible combinations of hours for each day, and it is called for each day and for each possible number of hours in a day. Therefore, the time complexity is proportional to the number of possible combinations, which is n^m. However, please note that the actual time complexity may be less than this because the function returns as soon as a solution is found, and it also prunes partial solutions with a total number of hours greater than the required sum of hours. This pruning can significantly reduce the number of combinations that need to be generated and checked, especially if a solution is found early or if the required sum of hours is small compared to the total number of hours available. But in the worst-case scenario, the time complexity is still O($n^m$).\n",
    "\n",
    "I think my solution is more concrete, the Bing AI solution, is more general, since it assumes that all lists have as many hours as the maximum hours of all days, however, my solution takes into account only the number of hours each day. That is, my solution represents the possible combinations of hours for all days while the AI solution represents the possible combinations of hours for each day.\n"
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    "4. **What do you think of the optimality of your code? Do you believe it is optimal? Can you improve? Please elaborate on your response.**\n"
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    "I have decided to use recursion to solve the problem. The code already includes some improvements, such as stopping generating solutions that already exceed sumHours or stopping when a solution has been found by using a boolean as a global variable. To make it more optimal, dynamic programming could have been used, using top down or bottom up, some function calls could have been saved in some container so as not to repeat calculations."
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