Similarity.ipynb

{
 "cells": [
  {
   "cell_type": "code",
   "execution_count": 1,
   "id": "856bc2f6",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "\"text = ''\\n\\nfor a_file in os.listdir(directory):\\n    if a_file.endswith('.pdf'):\\n        file_path = directory + '/' + str(a_file)\\n        with open(file_path, 'rb') as pdf:\\n            pages = PyPDF2.PdfFileReader(pdf)\\n            count = pages.numPages\\n            print(count)\\n            output = []\\n        for i in range(count):\\n            page = pages.getPage(i)\\n            output.append(page.extractText())\\n        pdf.close()\\n        print(output)\""
      ]
     },
     "execution_count": 1,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "'''text = ''\n",
    "\n",
    "for a_file in os.listdir(directory):\n",
    "    if a_file.endswith('.pdf'):\n",
    "        file_path = directory + '/' + str(a_file)\n",
    "        with open(file_path, 'rb') as pdf:\n",
    "            pages = PyPDF2.PdfFileReader(pdf)\n",
    "            count = pages.numPages\n",
    "            print(count)\n",
    "            output = []\n",
    "        for i in range(count):\n",
    "            page = pages.getPage(i)\n",
    "            output.append(page.extractText())\n",
    "        pdf.close()\n",
    "        print(output)'''"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "id": "3693568f",
   "metadata": {},
   "outputs": [],
   "source": [
    "import os\n",
    "import docx2txt\n",
    "import PyPDF2\n",
    "import numpy as np\n",
    "import pandas as pd\n",
    "%matplotlib inline\n",
    "import matplotlib.pyplot as plt\n",
    "import seaborn as sns\n",
    "import warnings\n",
    "warnings.filterwarnings('ignore')\n",
    "np.random.seed(0) "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "id": "4cfe8bd7",
   "metadata": {},
   "outputs": [],
   "source": [
    "directory = 'C:/Users/arund/OneDrive/Desktop/NLP/Project/Data/Resumes'\n",
    "extension = '.docx'\n",
    "text = ''\n",
    "resume_dict = {}\n",
    "for a_file in os.listdir(directory):\n",
    "    content = []\n",
    "    if a_file.endswith('.docx'):\n",
    "        text = docx2txt.process(directory + '/' + str(a_file))\n",
    "        #print(text, '\\n\\n------------------------------------------------------------------------------------------\\n\\n')\n",
    "        resume_dict[str(a_file[:-5])] = text"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "id": "7588d2f1",
   "metadata": {
    "scrolled": false
   },
   "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>Resume</th>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Names</th>\n",
       "      <th></th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>ABHAY RAJ DWIVEDI</th>\n",
       "      <td>ABHAY RAJ DWIVEDIFeatured Resume  \\n\\n \\n\\nSof...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Abhishek Sharma</th>\n",
       "      <td>Abhishek SharmaFeatured Resume  \\n\\n \\n\\nDevel...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>ADRYJA GHOSH</th>\n",
       "      <td>ADRYJA GHOSHFeatured Resume  \\n\\n \\n\\nEnglish ...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>AJAY CHINNI</th>\n",
       "      <td>AJAY CHINNIFeatured Resume  \\n\\n \\n\\nSeeking r...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>ALANKRIT NIRJHAR</th>\n",
       "      <td>ALANKRIT NIRJHARPremium CV Featured Resume  \\n...</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "                                                              Resume\n",
       "Names                                                               \n",
       "ABHAY RAJ DWIVEDI  ABHAY RAJ DWIVEDIFeatured Resume  \\n\\n \\n\\nSof...\n",
       "Abhishek Sharma    Abhishek SharmaFeatured Resume  \\n\\n \\n\\nDevel...\n",
       "ADRYJA GHOSH       ADRYJA GHOSHFeatured Resume  \\n\\n \\n\\nEnglish ...\n",
       "AJAY CHINNI        AJAY CHINNIFeatured Resume  \\n\\n \\n\\nSeeking r...\n",
       "ALANKRIT NIRJHAR   ALANKRIT NIRJHARPremium CV Featured Resume  \\n..."
      ]
     },
     "execution_count": 4,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "resume_data = pd.DataFrame.from_dict(resume_dict, orient  = 'index', columns = ['Resume'])\n",
    "resume_data.index.name = 'Names'\n",
    "resume_data.head()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "id": "7c96fc85",
   "metadata": {},
   "outputs": [],
   "source": [
    "directory = 'C:/Users/arund/OneDrive/Desktop/NLP/Project/Data/JobDesc'\n",
    "extension = '.docx'\n",
    "text = ''\n",
    "job_desc_dict = {}\n",
    "for a_file in os.listdir(directory):\n",
    "    content = []\n",
    "    if a_file.endswith('.docx'):\n",
    "        text = docx2txt.process(directory + '/' + str(a_file))\n",
    "        #print(text, '\\n\\n------------------------------------------------------------------------------------------\\n\\n')\n",
    "        job_desc_dict[str(a_file[:-5])] = text"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "id": "ba99618f",
   "metadata": {
    "scrolled": true
   },
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>Job_Description</th>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Profile</th>\n",
       "      <th></th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>Backend Developer</th>\n",
       "      <td>Backend Developer - Python/Django\\n\\n\\n\\nWe ar...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Billing cum Logistics Manager</th>\n",
       "      <td>Billing cum Logistics Manager\\n\\nJob Summary\\n...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Data Scientist</th>\n",
       "      <td>Data Scientist/ ML Engineer\\n\\nGame Change Sol...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Director of Engineering</th>\n",
       "      <td>Director of Engineering, Google CloudDirector ...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Global Industry Content Manager</th>\n",
       "      <td>Global Industry Content Manager\\n\\nMinimum qua...</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "                                                                   Job_Description\n",
       "Profile                                                                           \n",
       "Backend Developer                Backend Developer - Python/Django\\n\\n\\n\\nWe ar...\n",
       "Billing cum Logistics Manager    Billing cum Logistics Manager\\n\\nJob Summary\\n...\n",
       "Data Scientist                   Data Scientist/ ML Engineer\\n\\nGame Change Sol...\n",
       "Director of Engineering          Director of Engineering, Google CloudDirector ...\n",
       "Global Industry Content Manager  Global Industry Content Manager\\n\\nMinimum qua..."
      ]
     },
     "execution_count": 6,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "job_desc_data = pd.DataFrame.from_dict(job_desc_dict, orient  = 'index', columns = ['Job_Description'])\n",
    "job_desc_data.index.name = 'Profile'\n",
    "job_desc_data.head()"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "e701173f",
   "metadata": {},
   "source": [
    "## NLTK"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "id": "40547e7c",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "showing info https://raw.githubusercontent.com/nltk/nltk_data/gh-pages/index.xml\n"
     ]
    },
    {
     "data": {
      "text/plain": [
       "True"
      ]
     },
     "execution_count": 7,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "import nltk\n",
    "nltk.download()"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "733b06fd",
   "metadata": {},
   "source": [
    "## Cleaning Data"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "id": "4d269120",
   "metadata": {},
   "outputs": [],
   "source": [
    "from string import punctuation\n",
    "from nltk.corpus import stopwords\n",
    "from nltk.tokenize import word_tokenize\n",
    "from nltk.tag import pos_tag\n",
    "import nltk.stem\n",
    "from nltk.stem import LancasterStemmer, SnowballStemmer\n",
    "from nltk.stem.wordnet import WordNetLemmatizer\n",
    "import re\n",
    "from string import punctuation"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 9,
   "id": "df249fc4",
   "metadata": {},
   "outputs": [],
   "source": [
    "'''Checks for punctuations and stopwords, converts to lower case, performs tokenization, POS tagging and lemmatization and \n",
    "also removes irrelevant data''' \n",
    "\n",
    "def clean_data(text): \n",
    "    stop_words = stopwords.words('english')\n",
    "    tokens = word_tokenize(text)\n",
    "    cleaned_tokens = []\n",
    "\n",
    "    for tok, tag in pos_tag(tokens):\n",
    "        tok = re.sub('http[s]?://(?:[a-zA-Z]|[0-9]|[$-_@.&+#]|[!*\\(\\)]|'\\\n",
    "                       '(?:%[0-9a-fA-F][0-9a-fA-F]))+','', tok)\n",
    "        tok = re.sub(\"(@[A-Za-z0-9_]+)\",\"\", tok)\n",
    "\n",
    "        if tag.startswith(\"NN\"):\n",
    "            pos = 'n'\n",
    "        elif tag.startswith('VB'):\n",
    "            pos = 'v'\n",
    "        else:\n",
    "            pos = 'a'\n",
    "\n",
    "        lemmatizer = WordNetLemmatizer()\n",
    "        tok = lemmatizer.lemmatize(tok, pos)\n",
    "\n",
    "        if len(tok) > 0 and tok not in punctuation and tok.lower() not in stop_words:\n",
    "            cleaned_tokens.append(tok.lower())\n",
    "    return cleaned_tokens"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 10,
   "id": "61379df6",
   "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>Resume</th>\n",
       "      <th>Clean_data</th>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Names</th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>MADHU H</th>\n",
       "      <td>MADHU H.KPremium CV Featured Resume  \\n\\n \\n\\n...</td>\n",
       "      <td>[madhu, h.kpremium, cv, featured, resume, seni...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Manvi Singh</th>\n",
       "      <td>Manvi SinghFeatured Resume  \\n\\n \\n\\nHR Manage...</td>\n",
       "      <td>[manvi, singhfeatured, resume, hr, manager, se...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>MONICA CHOPRA</th>\n",
       "      <td>MONICA CHOPRAFeatured Resume  \\n\\n \\n\\nForeign...</td>\n",
       "      <td>[monica, choprafeatured, resume, foreign, engl...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>RISHABH SHARMA</th>\n",
       "      <td>RISHABH SHARMAFeatured Resume  \\n\\n \\n\\nJunior...</td>\n",
       "      <td>[rishabh, sharmafeatured, resume, junior, mana...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Seshadri Sastry Kunapuli</th>\n",
       "      <td>Seshadri Sastry Kunapuli     \\n\\n \\n\\nManager ...</td>\n",
       "      <td>[seshadri, sastry, kunapuli, manager, technolo...</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "                                                                     Resume  \\\n",
       "Names                                                                         \n",
       "MADHU H                   MADHU H.KPremium CV Featured Resume  \\n\\n \\n\\n...   \n",
       "Manvi Singh               Manvi SinghFeatured Resume  \\n\\n \\n\\nHR Manage...   \n",
       "MONICA CHOPRA             MONICA CHOPRAFeatured Resume  \\n\\n \\n\\nForeign...   \n",
       "RISHABH SHARMA            RISHABH SHARMAFeatured Resume  \\n\\n \\n\\nJunior...   \n",
       "Seshadri Sastry Kunapuli  Seshadri Sastry Kunapuli     \\n\\n \\n\\nManager ...   \n",
       "\n",
       "                                                                 Clean_data  \n",
       "Names                                                                        \n",
       "MADHU H                   [madhu, h.kpremium, cv, featured, resume, seni...  \n",
       "Manvi Singh               [manvi, singhfeatured, resume, hr, manager, se...  \n",
       "MONICA CHOPRA             [monica, choprafeatured, resume, foreign, engl...  \n",
       "RISHABH SHARMA            [rishabh, sharmafeatured, resume, junior, mana...  \n",
       "Seshadri Sastry Kunapuli  [seshadri, sastry, kunapuli, manager, technolo...  "
      ]
     },
     "execution_count": 10,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "resume_data['Clean_data'] = resume_data['Resume'].apply(lambda x:clean_data(x))\n",
    "resume_data.sample(5)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 11,
   "id": "29d225da",
   "metadata": {
    "scrolled": true
   },
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>Job_Description</th>\n",
       "      <th>Clean_data</th>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Profile</th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>Senior Software Developer</th>\n",
       "      <td>Senior Software Developer\\n\\nSenior Software E...</td>\n",
       "      <td>[senior, software, developer, senior, software...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Web_dev_job</th>\n",
       "      <td>The position holder will be responsible for cr...</td>\n",
       "      <td>[position, holder, responsible, creation, impl...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Director of Engineering</th>\n",
       "      <td>Director of Engineering, Google CloudDirector ...</td>\n",
       "      <td>[director, engineering, google, clouddirector,...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Lead Technical Program Manager</th>\n",
       "      <td>Lead Technical Program Manager, Site Reliabili...</td>\n",
       "      <td>[lead, technical, program, manager, site, reli...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Backend Developer</th>\n",
       "      <td>Backend Developer - Python/Django\\n\\n\\n\\nWe ar...</td>\n",
       "      <td>[backend, developer, python/django, look, pyth...</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "                                                                  Job_Description  \\\n",
       "Profile                                                                             \n",
       "Senior Software Developer       Senior Software Developer\\n\\nSenior Software E...   \n",
       "Web_dev_job                     The position holder will be responsible for cr...   \n",
       "Director of Engineering         Director of Engineering, Google CloudDirector ...   \n",
       "Lead Technical Program Manager  Lead Technical Program Manager, Site Reliabili...   \n",
       "Backend Developer               Backend Developer - Python/Django\\n\\n\\n\\nWe ar...   \n",
       "\n",
       "                                                                       Clean_data  \n",
       "Profile                                                                            \n",
       "Senior Software Developer       [senior, software, developer, senior, software...  \n",
       "Web_dev_job                     [position, holder, responsible, creation, impl...  \n",
       "Director of Engineering         [director, engineering, google, clouddirector,...  \n",
       "Lead Technical Program Manager  [lead, technical, program, manager, site, reli...  \n",
       "Backend Developer               [backend, developer, python/django, look, pyth...  "
      ]
     },
     "execution_count": 11,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "job_desc_data['Clean_data'] = job_desc_data['Job_Description'].apply(lambda x:clean_data(x))\n",
    "job_desc_data.sample(5)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 12,
   "id": "633493cb",
   "metadata": {},
   "outputs": [],
   "source": [
    "from sklearn.feature_extraction.text import TfidfVectorizer\n",
    "\n",
    "\n",
    "def do_tfidf(token):\n",
    "    tfidf = TfidfVectorizer(max_df=0.05, min_df=0.002)\n",
    "    words = tfidf.fit_transform(token)\n",
    "    sentence = \" \".join(tfidf.get_feature_names())\n",
    "    return sentence"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 13,
   "id": "bdd0387c",
   "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>Resume</th>\n",
       "      <th>Clean_data</th>\n",
       "      <th>TF_IDF_Based</th>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Names</th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>Dileep Matha</th>\n",
       "      <td>Dileep MathaFeatured Resume  \\n\\n \\n\\nSoftware...</td>\n",
       "      <td>[dileep, mathafeatured, resume, software, deve...</td>\n",
       "      <td>16 20 2019 20last active algorithms api area b...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Vivek Kumar</th>\n",
       "      <td>Vivek KumarFeatured Resume  \\n\\n \\n\\n(Immediat...</td>\n",
       "      <td>[vivek, kumarfeatured, resume, immediate, join...</td>\n",
       "      <td>15 20 2014 2017 2020 20last 405e95ab50f4878852...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Ashish Singh</th>\n",
       "      <td>Ashish Singh ThakurFeatured Resume  \\n\\n \\n\\nH...</td>\n",
       "      <td>[ashish, singh, thakurfeatured, resume, hr, ma...</td>\n",
       "      <td>10th 17 20 2010 2013 2014 2015 2018 20last 615...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Manvi Singh</th>\n",
       "      <td>Manvi SinghFeatured Resume  \\n\\n \\n\\nHR Manage...</td>\n",
       "      <td>[manvi, singhfeatured, resume, hr, manager, se...</td>\n",
       "      <td>18 2015 2017 acquisition across action apmosys...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>RAJINDER KUMAR</th>\n",
       "      <td>RAJINDER KUMARFeatured Resume  \\n\\n \\n\\nSales ...</td>\n",
       "      <td>[rajinder, kumarfeatured, resume, sales, marke...</td>\n",
       "      <td>16 2009 2012 account achieve activity analyze ...</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "                                                           Resume  \\\n",
       "Names                                                               \n",
       "Dileep Matha    Dileep MathaFeatured Resume  \\n\\n \\n\\nSoftware...   \n",
       "Vivek Kumar     Vivek KumarFeatured Resume  \\n\\n \\n\\n(Immediat...   \n",
       "Ashish Singh    Ashish Singh ThakurFeatured Resume  \\n\\n \\n\\nH...   \n",
       "Manvi Singh     Manvi SinghFeatured Resume  \\n\\n \\n\\nHR Manage...   \n",
       "RAJINDER KUMAR  RAJINDER KUMARFeatured Resume  \\n\\n \\n\\nSales ...   \n",
       "\n",
       "                                                       Clean_data  \\\n",
       "Names                                                               \n",
       "Dileep Matha    [dileep, mathafeatured, resume, software, deve...   \n",
       "Vivek Kumar     [vivek, kumarfeatured, resume, immediate, join...   \n",
       "Ashish Singh    [ashish, singh, thakurfeatured, resume, hr, ma...   \n",
       "Manvi Singh     [manvi, singhfeatured, resume, hr, manager, se...   \n",
       "RAJINDER KUMAR  [rajinder, kumarfeatured, resume, sales, marke...   \n",
       "\n",
       "                                                     TF_IDF_Based  \n",
       "Names                                                              \n",
       "Dileep Matha    16 20 2019 20last active algorithms api area b...  \n",
       "Vivek Kumar     15 20 2014 2017 2020 20last 405e95ab50f4878852...  \n",
       "Ashish Singh    10th 17 20 2010 2013 2014 2015 2018 20last 615...  \n",
       "Manvi Singh     18 2015 2017 acquisition across action apmosys...  \n",
       "RAJINDER KUMAR  16 2009 2012 account achieve activity analyze ...  "
      ]
     },
     "execution_count": 13,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "resume_data['TF_IDF_Based'] = resume_data['Clean_data'].apply(lambda x: do_tfidf(x))\n",
    "resume_data.sample(5)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 14,
   "id": "d372aa60",
   "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>Job_Description</th>\n",
       "      <th>Clean_data</th>\n",
       "      <th>TF_IDF_Based</th>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Profile</th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>Lead Technical Program Manager</th>\n",
       "      <td>Lead Technical Program Manager, Site Reliabili...</td>\n",
       "      <td>[lead, technical, program, manager, site, reli...</td>\n",
       "      <td>ability able across also analysis apart archit...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Senior Product Manager</th>\n",
       "      <td>Senior Product Manager, Hardware Enablement, C...</td>\n",
       "      <td>[senior, product, manager, hardware, enablemen...</td>\n",
       "      <td>able accelerate accessible across addition ado...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Backend Developer</th>\n",
       "      <td>Backend Developer - Python/Django\\n\\n\\n\\nWe ar...</td>\n",
       "      <td>[backend, developer, python/django, look, pyth...</td>\n",
       "      <td>00 000 19 35 55 ability able additional aesthe...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>HTML Developer</th>\n",
       "      <td>HTML Developer\\n\\nSlidesigma India LLC is a we...</td>\n",
       "      <td>[html, developer, slidesigma, india, llc, web,...</td>\n",
       "      <td>00 000 10 12 17 19 active bachelor base basic ...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Primary English Teacher</th>\n",
       "      <td>Primary English Teacher\\n\\nPosition Title: Fac...</td>\n",
       "      <td>[primary, english, teacher, position, title, f...</td>\n",
       "      <td>000 10 110 11k 12 1500 17k 20 200 45 50 60 abi...</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "                                                                  Job_Description  \\\n",
       "Profile                                                                             \n",
       "Lead Technical Program Manager  Lead Technical Program Manager, Site Reliabili...   \n",
       "Senior Product Manager          Senior Product Manager, Hardware Enablement, C...   \n",
       "Backend Developer               Backend Developer - Python/Django\\n\\n\\n\\nWe ar...   \n",
       "HTML Developer                  HTML Developer\\n\\nSlidesigma India LLC is a we...   \n",
       "Primary English Teacher         Primary English Teacher\\n\\nPosition Title: Fac...   \n",
       "\n",
       "                                                                       Clean_data  \\\n",
       "Profile                                                                             \n",
       "Lead Technical Program Manager  [lead, technical, program, manager, site, reli...   \n",
       "Senior Product Manager          [senior, product, manager, hardware, enablemen...   \n",
       "Backend Developer               [backend, developer, python/django, look, pyth...   \n",
       "HTML Developer                  [html, developer, slidesigma, india, llc, web,...   \n",
       "Primary English Teacher         [primary, english, teacher, position, title, f...   \n",
       "\n",
       "                                                                     TF_IDF_Based  \n",
       "Profile                                                                            \n",
       "Lead Technical Program Manager  ability able across also analysis apart archit...  \n",
       "Senior Product Manager          able accelerate accessible across addition ado...  \n",
       "Backend Developer               00 000 19 35 55 ability able additional aesthe...  \n",
       "HTML Developer                  00 000 10 12 17 19 active bachelor base basic ...  \n",
       "Primary English Teacher         000 10 110 11k 12 1500 17k 20 200 45 50 60 abi...  "
      ]
     },
     "execution_count": 14,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "job_desc_data['TF_IDF_Based'] = job_desc_data['Clean_data'].apply(lambda x: do_tfidf(x))\n",
    "job_desc_data.sample(5)"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "71a2d180",
   "metadata": {},
   "source": [
    "## Similarity"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 15,
   "id": "7fe8cbbe",
   "metadata": {
    "scrolled": false
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "Index(['Backend Developer', 'Billing cum Logistics Manager', 'Data Scientist',\n",
       "       'Director of Engineering', 'Global Industry Content Manager',\n",
       "       'HTML Developer', 'IT Project Manager',\n",
       "       'Lead Technical Program Manager', 'Primary English Teacher',\n",
       "       'Revenue Reporting Data Analyst', 'Senior Product Manager',\n",
       "       'Senior Software Developer', 'Web Developer', 'Web_dev_job'],\n",
       "      dtype='object', name='Profile')"
      ]
     },
     "execution_count": 15,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "job_desc_data.index"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 16,
   "id": "d5bd52e8",
   "metadata": {},
   "outputs": [],
   "source": [
    "import textdistance as td\n",
    "\n",
    "\n",
    "def match(resume, job_des):\n",
    "    j = td.jaccard.similarity(resume, job_des)\n",
    "    s = td.sorensen_dice.similarity(resume, job_des)\n",
    "    c = td.cosine.similarity(resume, job_des)\n",
    "    o = td.overlap.normalized_similarity(resume, job_des)\n",
    "    total = (j+s+c+o)/4\n",
    "    # total = (s+o)/2\n",
    "    return total*100"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 17,
   "id": "d82abcde",
   "metadata": {},
   "outputs": [],
   "source": [
    "for i in job_desc_data.index:\n",
    "    resume_data[str(i)] = resume_data['TF_IDF_Based'].apply(lambda x:match(x, job_desc_data.TF_IDF_Based[i])) "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 18,
   "id": "ad7d22b8",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "HTML Developer\n"
     ]
    }
   ],
   "source": [
    "desc = input()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 19,
   "id": "b0c9c759",
   "metadata": {},
   "outputs": [],
   "source": [
    "sorted_resume = resume_data.sort_values(\n",
    "    by=[desc], ascending=False)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 20,
   "id": "b72ca7eb",
   "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>HTML Developer</th>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Names</th>\n",
       "      <th></th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>Charu Tyagi</th>\n",
       "      <td>81.208075</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>MADHU H</th>\n",
       "      <td>79.823867</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Seshadri Sastry Kunapuli</th>\n",
       "      <td>79.042605</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Amarpreet Singh</th>\n",
       "      <td>78.377193</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>RAHUL GOEL</th>\n",
       "      <td>75.976129</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Sumith Chandru</th>\n",
       "      <td>75.774793</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Avik Bhattacharya</th>\n",
       "      <td>75.655270</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>RAJINDER KUMAR</th>\n",
       "      <td>75.628854</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>khyati gandhi</th>\n",
       "      <td>74.919734</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Manvi Singh</th>\n",
       "      <td>74.885059</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "                          HTML Developer\n",
       "Names                                   \n",
       "Charu Tyagi                    81.208075\n",
       "MADHU H                        79.823867\n",
       "Seshadri Sastry Kunapuli       79.042605\n",
       "Amarpreet Singh                78.377193\n",
       "RAHUL GOEL                     75.976129\n",
       "Sumith Chandru                 75.774793\n",
       "Avik Bhattacharya              75.655270\n",
       "RAJINDER KUMAR                 75.628854\n",
       "khyati gandhi                  74.919734\n",
       "Manvi Singh                    74.885059"
      ]
     },
     "execution_count": 20,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "sorted_resume[[desc]][:10]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 21,
   "id": "87e4879f",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "Index(['Resume', 'Clean_data', 'TF_IDF_Based', 'Backend Developer',\n",
       "       'Billing cum Logistics Manager', 'Data Scientist',\n",
       "       'Director of Engineering', 'Global Industry Content Manager',\n",
       "       'HTML Developer', 'IT Project Manager',\n",
       "       'Lead Technical Program Manager', 'Primary English Teacher',\n",
       "       'Revenue Reporting Data Analyst', 'Senior Product Manager',\n",
       "       'Senior Software Developer', 'Web Developer', 'Web_dev_job'],\n",
       "      dtype='object')"
      ]
     },
     "execution_count": 21,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "resume_data.columns"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 22,
   "id": "3be38484",
   "metadata": {
    "scrolled": true
   },
   "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",
       "    .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>Names</th>\n",
       "      <th>ABHAY RAJ DWIVEDI</th>\n",
       "      <th>Abhishek Sharma</th>\n",
       "      <th>ADRYJA GHOSH</th>\n",
       "      <th>AJAY CHINNI</th>\n",
       "      <th>ALANKRIT NIRJHAR</th>\n",
       "      <th>Amarpreet Singh</th>\n",
       "      <th>AMITABHA</th>\n",
       "      <th>Arun Kumar</th>\n",
       "      <th>Ashish Singh</th>\n",
       "      <th>Ashwani Kumar Rajput</th>\n",
       "      <th>...</th>\n",
       "      <th>Shambhai Mishra</th>\n",
       "      <th>Shiraz Siddiqui</th>\n",
       "      <th>SNEHA SAHU</th>\n",
       "      <th>Sneha Vijay Bhamkar</th>\n",
       "      <th>Sumith Chandru</th>\n",
       "      <th>Suraj Chauhan</th>\n",
       "      <th>Swati Mehta</th>\n",
       "      <th>Vikram Balasubramanian</th>\n",
       "      <th>Vipin Kumar</th>\n",
       "      <th>Vivek Kumar</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>Backend Developer</th>\n",
       "      <td>91.808275</td>\n",
       "      <td>78.462243</td>\n",
       "      <td>79.464153</td>\n",
       "      <td>92.830023</td>\n",
       "      <td>87.620437</td>\n",
       "      <td>68.931842</td>\n",
       "      <td>89.374077</td>\n",
       "      <td>71.966844</td>\n",
       "      <td>82.715256</td>\n",
       "      <td>92.045660</td>\n",
       "      <td>...</td>\n",
       "      <td>77.668840</td>\n",
       "      <td>80.789944</td>\n",
       "      <td>85.730357</td>\n",
       "      <td>73.586751</td>\n",
       "      <td>70.144355</td>\n",
       "      <td>86.781835</td>\n",
       "      <td>86.216339</td>\n",
       "      <td>81.959834</td>\n",
       "      <td>88.633606</td>\n",
       "      <td>81.597763</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Billing cum Logistics Manager</th>\n",
       "      <td>52.963254</td>\n",
       "      <td>64.356747</td>\n",
       "      <td>63.548984</td>\n",
       "      <td>52.085917</td>\n",
       "      <td>49.952815</td>\n",
       "      <td>74.687289</td>\n",
       "      <td>56.323059</td>\n",
       "      <td>72.119245</td>\n",
       "      <td>47.260918</td>\n",
       "      <td>55.130433</td>\n",
       "      <td>...</td>\n",
       "      <td>65.450841</td>\n",
       "      <td>62.615643</td>\n",
       "      <td>60.569705</td>\n",
       "      <td>68.066187</td>\n",
       "      <td>73.402085</td>\n",
       "      <td>59.319426</td>\n",
       "      <td>48.688322</td>\n",
       "      <td>62.944512</td>\n",
       "      <td>50.522009</td>\n",
       "      <td>62.522909</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Data Scientist</th>\n",
       "      <td>88.713912</td>\n",
       "      <td>83.485779</td>\n",
       "      <td>84.048673</td>\n",
       "      <td>86.750130</td>\n",
       "      <td>82.059982</td>\n",
       "      <td>73.778373</td>\n",
       "      <td>90.037801</td>\n",
       "      <td>77.378582</td>\n",
       "      <td>76.590701</td>\n",
       "      <td>90.911958</td>\n",
       "      <td>...</td>\n",
       "      <td>83.645779</td>\n",
       "      <td>87.853110</td>\n",
       "      <td>91.244488</td>\n",
       "      <td>78.513559</td>\n",
       "      <td>75.453384</td>\n",
       "      <td>90.822801</td>\n",
       "      <td>79.819858</td>\n",
       "      <td>88.140054</td>\n",
       "      <td>83.366163</td>\n",
       "      <td>87.175562</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Director of Engineering</th>\n",
       "      <td>86.273564</td>\n",
       "      <td>84.059167</td>\n",
       "      <td>83.982949</td>\n",
       "      <td>85.122642</td>\n",
       "      <td>80.402078</td>\n",
       "      <td>75.014790</td>\n",
       "      <td>90.053975</td>\n",
       "      <td>79.375238</td>\n",
       "      <td>75.222154</td>\n",
       "      <td>90.169083</td>\n",
       "      <td>...</td>\n",
       "      <td>84.101653</td>\n",
       "      <td>87.803525</td>\n",
       "      <td>91.611306</td>\n",
       "      <td>79.503001</td>\n",
       "      <td>76.741101</td>\n",
       "      <td>88.243818</td>\n",
       "      <td>78.243578</td>\n",
       "      <td>88.856120</td>\n",
       "      <td>81.889259</td>\n",
       "      <td>86.924650</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Global Industry Content Manager</th>\n",
       "      <td>90.866879</td>\n",
       "      <td>79.208679</td>\n",
       "      <td>80.545532</td>\n",
       "      <td>90.568713</td>\n",
       "      <td>84.830738</td>\n",
       "      <td>70.401637</td>\n",
       "      <td>87.778221</td>\n",
       "      <td>74.713170</td>\n",
       "      <td>79.865424</td>\n",
       "      <td>90.008941</td>\n",
       "      <td>...</td>\n",
       "      <td>79.239783</td>\n",
       "      <td>83.001035</td>\n",
       "      <td>88.464913</td>\n",
       "      <td>74.546800</td>\n",
       "      <td>71.991383</td>\n",
       "      <td>87.479177</td>\n",
       "      <td>81.952557</td>\n",
       "      <td>84.402255</td>\n",
       "      <td>85.246642</td>\n",
       "      <td>82.370599</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>HTML Developer</th>\n",
       "      <td>56.421965</td>\n",
       "      <td>69.129048</td>\n",
       "      <td>68.230764</td>\n",
       "      <td>55.439747</td>\n",
       "      <td>52.937926</td>\n",
       "      <td>78.377193</td>\n",
       "      <td>60.206251</td>\n",
       "      <td>74.236103</td>\n",
       "      <td>50.027209</td>\n",
       "      <td>58.845739</td>\n",
       "      <td>...</td>\n",
       "      <td>70.064802</td>\n",
       "      <td>66.606555</td>\n",
       "      <td>64.352735</td>\n",
       "      <td>73.250130</td>\n",
       "      <td>75.774793</td>\n",
       "      <td>63.384361</td>\n",
       "      <td>51.630340</td>\n",
       "      <td>67.263333</td>\n",
       "      <td>53.574680</td>\n",
       "      <td>66.650566</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>IT Project Manager</th>\n",
       "      <td>81.121683</td>\n",
       "      <td>85.054837</td>\n",
       "      <td>86.451451</td>\n",
       "      <td>80.454567</td>\n",
       "      <td>76.188317</td>\n",
       "      <td>79.208725</td>\n",
       "      <td>87.247506</td>\n",
       "      <td>84.311928</td>\n",
       "      <td>70.845874</td>\n",
       "      <td>84.827329</td>\n",
       "      <td>...</td>\n",
       "      <td>87.581433</td>\n",
       "      <td>88.453359</td>\n",
       "      <td>91.877098</td>\n",
       "      <td>82.229869</td>\n",
       "      <td>80.494252</td>\n",
       "      <td>88.419643</td>\n",
       "      <td>73.617427</td>\n",
       "      <td>88.527668</td>\n",
       "      <td>77.383895</td>\n",
       "      <td>86.916395</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Lead Technical Program Manager</th>\n",
       "      <td>91.021956</td>\n",
       "      <td>76.502368</td>\n",
       "      <td>77.837723</td>\n",
       "      <td>92.994845</td>\n",
       "      <td>87.912540</td>\n",
       "      <td>67.470880</td>\n",
       "      <td>87.207358</td>\n",
       "      <td>71.435589</td>\n",
       "      <td>83.203328</td>\n",
       "      <td>89.289690</td>\n",
       "      <td>...</td>\n",
       "      <td>76.033522</td>\n",
       "      <td>79.486728</td>\n",
       "      <td>84.619631</td>\n",
       "      <td>71.531784</td>\n",
       "      <td>68.967280</td>\n",
       "      <td>84.568926</td>\n",
       "      <td>85.574345</td>\n",
       "      <td>80.469783</td>\n",
       "      <td>88.349369</td>\n",
       "      <td>79.139476</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Primary English Teacher</th>\n",
       "      <td>91.272923</td>\n",
       "      <td>79.828249</td>\n",
       "      <td>81.097585</td>\n",
       "      <td>90.584660</td>\n",
       "      <td>87.278374</td>\n",
       "      <td>70.012993</td>\n",
       "      <td>90.389318</td>\n",
       "      <td>72.701290</td>\n",
       "      <td>81.537548</td>\n",
       "      <td>90.836233</td>\n",
       "      <td>...</td>\n",
       "      <td>79.296866</td>\n",
       "      <td>81.843476</td>\n",
       "      <td>87.359934</td>\n",
       "      <td>74.989563</td>\n",
       "      <td>71.044443</td>\n",
       "      <td>88.169004</td>\n",
       "      <td>84.911306</td>\n",
       "      <td>83.376515</td>\n",
       "      <td>87.162449</td>\n",
       "      <td>82.495612</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Revenue Reporting Data Analyst</th>\n",
       "      <td>87.398598</td>\n",
       "      <td>81.703855</td>\n",
       "      <td>83.894894</td>\n",
       "      <td>86.286111</td>\n",
       "      <td>81.762181</td>\n",
       "      <td>73.466637</td>\n",
       "      <td>88.394210</td>\n",
       "      <td>78.410684</td>\n",
       "      <td>75.764502</td>\n",
       "      <td>88.366493</td>\n",
       "      <td>...</td>\n",
       "      <td>82.484385</td>\n",
       "      <td>86.341782</td>\n",
       "      <td>91.107239</td>\n",
       "      <td>77.249086</td>\n",
       "      <td>74.957376</td>\n",
       "      <td>86.730898</td>\n",
       "      <td>78.751615</td>\n",
       "      <td>87.842182</td>\n",
       "      <td>82.503067</td>\n",
       "      <td>85.574135</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Senior Product Manager</th>\n",
       "      <td>80.581160</td>\n",
       "      <td>87.706474</td>\n",
       "      <td>88.382503</td>\n",
       "      <td>78.910471</td>\n",
       "      <td>74.972186</td>\n",
       "      <td>80.226204</td>\n",
       "      <td>86.467421</td>\n",
       "      <td>85.455482</td>\n",
       "      <td>69.477153</td>\n",
       "      <td>84.510674</td>\n",
       "      <td>...</td>\n",
       "      <td>88.588405</td>\n",
       "      <td>89.574734</td>\n",
       "      <td>90.781801</td>\n",
       "      <td>83.443100</td>\n",
       "      <td>82.274066</td>\n",
       "      <td>90.660359</td>\n",
       "      <td>72.171256</td>\n",
       "      <td>90.838560</td>\n",
       "      <td>75.767190</td>\n",
       "      <td>88.182090</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Senior Software Developer</th>\n",
       "      <td>74.832989</td>\n",
       "      <td>89.411642</td>\n",
       "      <td>88.385449</td>\n",
       "      <td>73.236246</td>\n",
       "      <td>69.546246</td>\n",
       "      <td>87.370482</td>\n",
       "      <td>80.054825</td>\n",
       "      <td>87.804113</td>\n",
       "      <td>64.846951</td>\n",
       "      <td>78.550072</td>\n",
       "      <td>...</td>\n",
       "      <td>89.203153</td>\n",
       "      <td>87.374132</td>\n",
       "      <td>86.382311</td>\n",
       "      <td>87.268221</td>\n",
       "      <td>86.653815</td>\n",
       "      <td>84.733552</td>\n",
       "      <td>67.268795</td>\n",
       "      <td>88.801937</td>\n",
       "      <td>70.452930</td>\n",
       "      <td>87.003653</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Web Developer</th>\n",
       "      <td>81.208237</td>\n",
       "      <td>89.781314</td>\n",
       "      <td>86.441451</td>\n",
       "      <td>79.283261</td>\n",
       "      <td>75.465367</td>\n",
       "      <td>80.788666</td>\n",
       "      <td>86.442033</td>\n",
       "      <td>84.635557</td>\n",
       "      <td>69.991608</td>\n",
       "      <td>85.355306</td>\n",
       "      <td>...</td>\n",
       "      <td>90.177515</td>\n",
       "      <td>92.402371</td>\n",
       "      <td>91.570028</td>\n",
       "      <td>85.675532</td>\n",
       "      <td>82.688781</td>\n",
       "      <td>91.713254</td>\n",
       "      <td>72.926349</td>\n",
       "      <td>91.364925</td>\n",
       "      <td>76.196942</td>\n",
       "      <td>91.723422</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Web_dev_job</th>\n",
       "      <td>69.075647</td>\n",
       "      <td>84.378292</td>\n",
       "      <td>83.569848</td>\n",
       "      <td>67.723576</td>\n",
       "      <td>64.592706</td>\n",
       "      <td>91.123426</td>\n",
       "      <td>73.721379</td>\n",
       "      <td>89.408908</td>\n",
       "      <td>59.986006</td>\n",
       "      <td>72.500377</td>\n",
       "      <td>...</td>\n",
       "      <td>86.594576</td>\n",
       "      <td>81.367364</td>\n",
       "      <td>79.419707</td>\n",
       "      <td>88.799169</td>\n",
       "      <td>86.979817</td>\n",
       "      <td>78.558562</td>\n",
       "      <td>62.453821</td>\n",
       "      <td>82.203047</td>\n",
       "      <td>65.391747</td>\n",
       "      <td>82.781442</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>14 rows × 62 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "Names                            ABHAY RAJ DWIVEDI  Abhishek Sharma  \\\n",
       "Backend Developer                        91.808275        78.462243   \n",
       "Billing cum Logistics Manager            52.963254        64.356747   \n",
       "Data Scientist                           88.713912        83.485779   \n",
       "Director of Engineering                  86.273564        84.059167   \n",
       "Global Industry Content Manager          90.866879        79.208679   \n",
       "HTML Developer                           56.421965        69.129048   \n",
       "IT Project Manager                       81.121683        85.054837   \n",
       "Lead Technical Program Manager           91.021956        76.502368   \n",
       "Primary English Teacher                  91.272923        79.828249   \n",
       "Revenue Reporting Data Analyst           87.398598        81.703855   \n",
       "Senior Product Manager                   80.581160        87.706474   \n",
       "Senior Software Developer                74.832989        89.411642   \n",
       "Web Developer                            81.208237        89.781314   \n",
       "Web_dev_job                              69.075647        84.378292   \n",
       "\n",
       "Names                            ADRYJA GHOSH  AJAY CHINNI  ALANKRIT NIRJHAR  \\\n",
       "Backend Developer                   79.464153    92.830023         87.620437   \n",
       "Billing cum Logistics Manager       63.548984    52.085917         49.952815   \n",
       "Data Scientist                      84.048673    86.750130         82.059982   \n",
       "Director of Engineering             83.982949    85.122642         80.402078   \n",
       "Global Industry Content Manager     80.545532    90.568713         84.830738   \n",
       "HTML Developer                      68.230764    55.439747         52.937926   \n",
       "IT Project Manager                  86.451451    80.454567         76.188317   \n",
       "Lead Technical Program Manager      77.837723    92.994845         87.912540   \n",
       "Primary English Teacher             81.097585    90.584660         87.278374   \n",
       "Revenue Reporting Data Analyst      83.894894    86.286111         81.762181   \n",
       "Senior Product Manager              88.382503    78.910471         74.972186   \n",
       "Senior Software Developer           88.385449    73.236246         69.546246   \n",
       "Web Developer                       86.441451    79.283261         75.465367   \n",
       "Web_dev_job                         83.569848    67.723576         64.592706   \n",
       "\n",
       "Names                            Amarpreet Singh   AMITABHA  Arun Kumar  \\\n",
       "Backend Developer                      68.931842  89.374077   71.966844   \n",
       "Billing cum Logistics Manager          74.687289  56.323059   72.119245   \n",
       "Data Scientist                         73.778373  90.037801   77.378582   \n",
       "Director of Engineering                75.014790  90.053975   79.375238   \n",
       "Global Industry Content Manager        70.401637  87.778221   74.713170   \n",
       "HTML Developer                         78.377193  60.206251   74.236103   \n",
       "IT Project Manager                     79.208725  87.247506   84.311928   \n",
       "Lead Technical Program Manager         67.470880  87.207358   71.435589   \n",
       "Primary English Teacher                70.012993  90.389318   72.701290   \n",
       "Revenue Reporting Data Analyst         73.466637  88.394210   78.410684   \n",
       "Senior Product Manager                 80.226204  86.467421   85.455482   \n",
       "Senior Software Developer              87.370482  80.054825   87.804113   \n",
       "Web Developer                          80.788666  86.442033   84.635557   \n",
       "Web_dev_job                            91.123426  73.721379   89.408908   \n",
       "\n",
       "Names                            Ashish Singh  Ashwani Kumar Rajput  ...  \\\n",
       "Backend Developer                   82.715256             92.045660  ...   \n",
       "Billing cum Logistics Manager       47.260918             55.130433  ...   \n",
       "Data Scientist                      76.590701             90.911958  ...   \n",
       "Director of Engineering             75.222154             90.169083  ...   \n",
       "Global Industry Content Manager     79.865424             90.008941  ...   \n",
       "HTML Developer                      50.027209             58.845739  ...   \n",
       "IT Project Manager                  70.845874             84.827329  ...   \n",
       "Lead Technical Program Manager      83.203328             89.289690  ...   \n",
       "Primary English Teacher             81.537548             90.836233  ...   \n",
       "Revenue Reporting Data Analyst      75.764502             88.366493  ...   \n",
       "Senior Product Manager              69.477153             84.510674  ...   \n",
       "Senior Software Developer           64.846951             78.550072  ...   \n",
       "Web Developer                       69.991608             85.355306  ...   \n",
       "Web_dev_job                         59.986006             72.500377  ...   \n",
       "\n",
       "Names                            Shambhai Mishra  Shiraz Siddiqui  SNEHA SAHU  \\\n",
       "Backend Developer                      77.668840        80.789944   85.730357   \n",
       "Billing cum Logistics Manager          65.450841        62.615643   60.569705   \n",
       "Data Scientist                         83.645779        87.853110   91.244488   \n",
       "Director of Engineering                84.101653        87.803525   91.611306   \n",
       "Global Industry Content Manager        79.239783        83.001035   88.464913   \n",
       "HTML Developer                         70.064802        66.606555   64.352735   \n",
       "IT Project Manager                     87.581433        88.453359   91.877098   \n",
       "Lead Technical Program Manager         76.033522        79.486728   84.619631   \n",
       "Primary English Teacher                79.296866        81.843476   87.359934   \n",
       "Revenue Reporting Data Analyst         82.484385        86.341782   91.107239   \n",
       "Senior Product Manager                 88.588405        89.574734   90.781801   \n",
       "Senior Software Developer              89.203153        87.374132   86.382311   \n",
       "Web Developer                          90.177515        92.402371   91.570028   \n",
       "Web_dev_job                            86.594576        81.367364   79.419707   \n",
       "\n",
       "Names                            Sneha Vijay Bhamkar  Sumith Chandru  \\\n",
       "Backend Developer                          73.586751       70.144355   \n",
       "Billing cum Logistics Manager              68.066187       73.402085   \n",
       "Data Scientist                             78.513559       75.453384   \n",
       "Director of Engineering                    79.503001       76.741101   \n",
       "Global Industry Content Manager            74.546800       71.991383   \n",
       "HTML Developer                             73.250130       75.774793   \n",
       "IT Project Manager                         82.229869       80.494252   \n",
       "Lead Technical Program Manager             71.531784       68.967280   \n",
       "Primary English Teacher                    74.989563       71.044443   \n",
       "Revenue Reporting Data Analyst             77.249086       74.957376   \n",
       "Senior Product Manager                     83.443100       82.274066   \n",
       "Senior Software Developer                  87.268221       86.653815   \n",
       "Web Developer                              85.675532       82.688781   \n",
       "Web_dev_job                                88.799169       86.979817   \n",
       "\n",
       "Names                            Suraj Chauhan  Swati Mehta  \\\n",
       "Backend Developer                    86.781835    86.216339   \n",
       "Billing cum Logistics Manager        59.319426    48.688322   \n",
       "Data Scientist                       90.822801    79.819858   \n",
       "Director of Engineering              88.243818    78.243578   \n",
       "Global Industry Content Manager      87.479177    81.952557   \n",
       "HTML Developer                       63.384361    51.630340   \n",
       "IT Project Manager                   88.419643    73.617427   \n",
       "Lead Technical Program Manager       84.568926    85.574345   \n",
       "Primary English Teacher              88.169004    84.911306   \n",
       "Revenue Reporting Data Analyst       86.730898    78.751615   \n",
       "Senior Product Manager               90.660359    72.171256   \n",
       "Senior Software Developer            84.733552    67.268795   \n",
       "Web Developer                        91.713254    72.926349   \n",
       "Web_dev_job                          78.558562    62.453821   \n",
       "\n",
       "Names                            Vikram Balasubramanian  Vipin Kumar  \\\n",
       "Backend Developer                             81.959834    88.633606   \n",
       "Billing cum Logistics Manager                 62.944512    50.522009   \n",
       "Data Scientist                                88.140054    83.366163   \n",
       "Director of Engineering                       88.856120    81.889259   \n",
       "Global Industry Content Manager               84.402255    85.246642   \n",
       "HTML Developer                                67.263333    53.574680   \n",
       "IT Project Manager                            88.527668    77.383895   \n",
       "Lead Technical Program Manager                80.469783    88.349369   \n",
       "Primary English Teacher                       83.376515    87.162449   \n",
       "Revenue Reporting Data Analyst                87.842182    82.503067   \n",
       "Senior Product Manager                        90.838560    75.767190   \n",
       "Senior Software Developer                     88.801937    70.452930   \n",
       "Web Developer                                 91.364925    76.196942   \n",
       "Web_dev_job                                   82.203047    65.391747   \n",
       "\n",
       "Names                            Vivek Kumar  \n",
       "Backend Developer                  81.597763  \n",
       "Billing cum Logistics Manager      62.522909  \n",
       "Data Scientist                     87.175562  \n",
       "Director of Engineering            86.924650  \n",
       "Global Industry Content Manager    82.370599  \n",
       "HTML Developer                     66.650566  \n",
       "IT Project Manager                 86.916395  \n",
       "Lead Technical Program Manager     79.139476  \n",
       "Primary English Teacher            82.495612  \n",
       "Revenue Reporting Data Analyst     85.574135  \n",
       "Senior Product Manager             88.182090  \n",
       "Senior Software Developer          87.003653  \n",
       "Web Developer                      91.723422  \n",
       "Web_dev_job                        82.781442  \n",
       "\n",
       "[14 rows x 62 columns]"
      ]
     },
     "execution_count": 22,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "skills = resume_data.drop(['Resume', 'Clean_data', 'TF_IDF_Based'], axis = 1).T\n",
    "skills"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 23,
   "id": "6c61d1ad",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "['Backend Developer',\n",
       " 'Billing cum Logistics Manager',\n",
       " 'Data Scientist',\n",
       " 'Director of Engineering',\n",
       " 'Global Industry Content Manager',\n",
       " 'HTML Developer',\n",
       " 'IT Project Manager',\n",
       " 'Lead Technical Program Manager',\n",
       " 'Primary English Teacher',\n",
       " 'Revenue Reporting Data Analyst',\n",
       " 'Senior Product Manager',\n",
       " 'Senior Software Developer',\n",
       " 'Web Developer',\n",
       " 'Web_dev_job']"
      ]
     },
     "execution_count": 23,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "roles = [i for i in skills.index]\n",
    "roles"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 24,
   "id": "04a0459a",
   "metadata": {
    "scrolled": false
   },
   "outputs": [
    {
     "data": {
      "image/png": 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7UJz0iIhbJb3Qzn72Az6T2lsFLEsntyURMS/VmQ00lZqcWKO8Yn/g2MqTiKjEeHR657w+0B/YAVjQQvhXS1oBPAGckspWATemxyOBmyLilXSsE4G9KRK330bEilT+u6p2J5Qe1xprgN9HxBuSFgI9gMmpfGGNY6+YSDEGewD/XrVtrKTD0+NtKBKyvwOvA7ek8tnAJ1qIbyRwOEBETC79LXwcGAbMTK93T+C5tK08dm8TEeMpkkn6D/xwNHNsZmbWCm1d114PeDG926t2EXBBREySNAoYV9rW2v/Am+unlpWlx6soTjTV21aRP3ZRFaOk7SlmMHaLiBckXQ5sXEccx0fErKqy11JCU+krp6VlmFdKj5sb65UAEbFa0hsRUTmu1TT/ul8LzAGuSPsWQRXt7w+MiIhXJd3JmnEot18e21rxNXfsV0TEf2W2lcfOzMzWgjYtN0TES8ASSUcBqLBL2tyXNRe7nVja7W7S1LGkA4H3trOf24AvpvIekjZty7FUmQJ8qfIkzUxsSnFiXpbW1A/sgH6gGI/DJPWS1JvinfVUiin6QyRtnGZSai0NQO2xbrOIeAo4kzXLOuW+XkgJwmCKJZKW1IrvHuBoAEkHsOZv4TbgSEnvS9s2k7Rdmw7EzMzard4koZekv5Z+Tqc44X9O0nyK6wFGp7rjKJYHpgJLS22cDewjaQ5wAPBUnX3X6udUYN80nT4b2LHO9przHeC9Ki4knA/sGxHzgbmp70spLuZrt4iYA1wOzACmA5dExNyImElxzcZ8iqn/WcCyGs2MIz/W7Y3tlxHxWFXxZGB9SQuAc4BpdTRVK76zgQPS38KBwLPAyxHxIPBNYErq548UyztmZtYAWjNLbOsKSX0iYrmkXhQzDmNSUtElSNoIWBURb0oaAfyilUtKNfUf+OE4+QdXdERTZmbrtHOP3L3D2pI0O12g/zad8Vl7a7/xknagWPO/oislCMm2wHUqvovhddZ8GsLMzNYhThLWQRHx6UbH0JkiYjHFRzzNzGwdtk5946KZmZmtO5wkmJmZWZaTBDMzM8tykmBmZmZZThLMzMwsy0mCmZmZZTlJMDMzsywnCWZmZpblJMHMzMyy/I2L1qVs9d7eHfp95mZm3ZlnEszMzCzLSYKZmZllOUkwMzOzLCcJZmZmluUkwczMzLKcJJiZmVmWkwQzMzPLcpJgZmZmWf4yJetSlr26klvmLml0GGZmne7godt3eh+eSTAzM7MsJwlmZmaW5STBzMzMspwkmJmZWZaTBDMzM8tykmBmZmZZThLMzMwsy0mCmZmZZTlJMDMzsywnCWZmZpblJMHMzMyynCSYmZlZlpMEMzMzy2oxSZC0paTfSHpc0mxJ90s6PG0bJemWFvYfJ+mM1gQlaXlryptpp8X4mtn3y5J6tWXfUhsbSPq+pMWSFkmaIenANrZ1mKQd2hFLk6RPN7MtJJ1TKttC0huSftrWPs3M7N2t2SRBkoCbgbsj4v0RMQw4Fth6LcTWaF8GskmCpB51tnEO0B/4SER8BDgE2KSN8RwGtDlJAJqAbJKQPA4cXHp+FPBAO/rrFJJ8e3Mzs7WkpZmE/YDXI+J/KwUR8WREXFRdUdJmkm6WtEDSNEk7lzbvIun29I7686l+H0m3SZojaaGk0fUGnWYI7pR0g6SHJV2dEhok/Usquwf4VGmft81opHf2TZJ6S7pV0vxUdoykscAA4A5Jd6T6yyV9W9J04JuSbiq19QlJE6ti7AV8HjglIlamsftbRFyXth+XjnuRpB+U9lsu6bspnmlpJmcv4FDgPEnzJA1MP5PT7M5USYPT/pdLulDSfWn258jU9PeBvdP+p2WGdQXwkKTh6fkxwHWluA6RNF3SXEl/krRlaVwvTa/H42nsKvvcnOJ7QNKYUvnnJP057XNxZbZCUj9JN0qamX4+WupjvKQpwJU1/izMzKyDtfSubEdgTp1tnQ3MjYjDJO1H8Z/5kLRtZ2BPoDcwV9KtwHPA4RHxkqQtgGmSJkVE1Nnf0BTfM8C9wEclzQIupkhuHgUm1NHOvwDPRMRBAJL6RsQySacD+0bE0lSvN7AoIs5KCclDkvpFxPPAycBlVe1+AHgqIl6q7lDSAOAHwDDgBWCKpMMi4ubUz7SIOFPSD4HPR8R3JE0CbomIG1IbtwFfiIjFkvYAfp6OG4rZi5HAYGAScAPwdeCMiCjPFlS7FjhW0v8BqyjGdkDadg+wZ0SEpH8DvgZ8JW0bDOxLMUvyiKRfRMQbwGcj4h+SegIzJd0IbAR8C9gVeBm4HZif2vkJ8KOIuEfStsAfgA+nbcOAkRGxopn4zcysA7Vq6lbSzyhOPq9HxG5Vm0cCRwBExO2SNpfUN237bfrPfUV6Z747cCtwrqR9gNXAVsCWwP/VGc6MiPhrimsexXT6cmBJRCxO5VcBY2o1kCwEzk/v5m+JiKk16q0CbkzHF5J+DZwg6TJgBPCZOuMG2A24MyUYSLoa2Idiaed1oHIdxWzgE9U7S+oD7AVcnyZQoDj5VtwcEauBByvv+Os0mWKJ5G+8M8HaGpggqT+wIbCktO3WNFuyUtJzFK/jX4GxStevANsAg4B/Au6KiH+kY7ke+GCqsz+wQ+mYNpVUWZ6ZVCtBSLMUYwD6/dOAXBUzM2uDlpKEB0gnfoCI+I/0rn9Wpq4yZVH1u1x+PNAPGBYRb0h6Ati4nqCTlaXHq1hzLLVmIt7k7csrGwNExJ8lDQM+CXxP0pSI+HZm/9ciYlXp+WXA74DXgOsj4s2q+o8C20raJCJertqWG6uKN0qzKeXjKlsPeDEihtRoozw2zfX1NhHxuqTZFDMEO1JcQ1FxEXBBREySNAoYV6O/VcD6qc7+wIiIeFXSnRRj3lw866X6b0sGUtLwSjNxjwfGAwzaYad6Z6LMzKwFLV2TcDuwsaQvlspqXfF/N8WJn3SCWFqaah8taWNJmwOjgJlAX+C5lCDsC2zXpiN4u4eB7SUNTM+PK217gmKKG0m7AtunxwOAVyPiKuD8Sh2KqfCaFxlGxDMU0/HfBC7PbH8V+BVwoaQNU1/9JZ0ATAc+puITBD1SnHe1cGxvxZPGdYmko1K7krRLvfu34H+A/4yIv1eV9wWeTo9PrKOdvsALKUEYTLHcBDCD4tjfq+IixCNK+0wBvlR5ImlIHf2YmVknaTZJSO9oD6P4T32JpBnAFcB/ZqqPA4ZLWkBxkVz5RDKDYnlhGnBOOsFenerPokguHm7foUBEvEYx7XyrigsXnyxtvhHYLC1NfBH4cyrfCZiRys8EvpPKxwO/T8sjtVwN/CUiHqyx/ZvA8xTT/osolhOej4hngf8C7qBYj58TEb9t4fCuBb6aLhwcSDFmn5M0n2LGp6ULPxcAb6q4IDJ34SIAEfFARFyR2TSOYnljKrA0s73aZIoZhQUUSxjTUvtPA+dSJEp/Ah4ElqV9xpL+hiQ9CHyhjn7MzKyTqP7rBK1auip/bkT8qtGxvJtI6hMRy9NMwk3ApRFxU0v71WPQDjvFj66e1BFNmZmt0w4eun2HtSVpdkQMry73Ny62UVq73xm4qtGxvAuNSzM3iygugLy5odGYmVmWv5imjdIXS1kbRESrvoHTzMwawzMJZmZmluUkwczMzLKcJJiZmVmWkwQzMzPLcpJgZmZmWU4SzMzMLMtJgpmZmWU5STAzM7MsJwlmZmaW5STBzMzMsvy1zNal9O21UYfe9MTMrDvzTIKZmZllOUkwMzOzLCcJZmZmluUkwczMzLKcJJiZmVmWkwQzMzPLcpJgZmZmWU4SzMzMLMtfpmRdyso3VrH42ZcaHYaZWbsN6r9po0PwTIKZmZnlOUkwMzOzLCcJZmZmluUkwczMzLKcJJiZmVmWkwQzMzPLcpJgZmZmWU4SzMzMLMtJgpmZmWU5STAzM7MsJwlmZmaW5STBzMzMspwkmJmZWZaThHWcpFWS5kl6QNJ8SadLavZ1k9Qk6dNt6OvM1M+C1OcezdQdLunC1vZR2v8bVc/va019MzPrfE4S1n0rImJIROwIfAL4JPDfLezTBLQqSZA0AjgY2DUidgb2B/5Sq35EzIqIsa3po8rbTvoRsVdr6puZWedzkvAuEhHPAWOAL6nQJGmqpDnpp3Ki/T6wd5oNOK2ZemX9gaURsTL1tTQingGQtJuk+9JMxgxJm0gaJemWtL23pEslzZQ0V9LoVH6SpImSJktaLOmHqfz7QM8U39WpbHn63V/S3WnbIkl75+qbmVnnU0Q0OgZrhqTlEdGnquwFYDDwMrA6Il6TNAi4JiKGSxoFnBERB6f6vXL1qtrsA9wD9AL+BEyIiLskbQg8DBwTETMlbQq8Coys9CHpXODBiLhK0nuAGcBQ4CjgrPR4JfAIMDIi/lJ9XJXnkr4CbBwR35XUA+gVES/nxqG07xiK5IkBW20z7M6Zi9ow0mZm65ZB/Tdda31Jml19XgBYf61FYB1J6fcGwE8lDQFWAR+sUb/FehGxXNIwYG9gX2CCpK8Ds4FnI2JmqvcSgKTy7gcAh0o6Iz3fGNg2Pb4tIpalfR4EtqOZZQxgJnCppA2AmyNiXjN1K7GPB8YD7LTLUGe9ZmYdxEnCu4yk91Oc6J+juDbhb8AuFEtHr9XY7bR66kXEKuBO4E5JC4ETgTlASydeAUdExCNVse5BMYNQsYoW/uYi4m5J+wAHAb+WdF5EXNlC/2Zm1gl8TcK7iKR+wP8CP41inagvxbv81cC/Aj1S1ZeBTUq71qpXbvtDaSmiYgjwJMVSwwBJu6V6m0iqPtH/AThFaXpB0tA6DueNNFtQHcd2wHMRcTHwK2DX5uqbmVnn8UzCuq+npHkUSwZvAr8GLkjbfg7cKOko4A7glVS+AHhT0nzg8mbqlfUBLkrXFLwJPAqMiYjXJR2TtvUEVlB88qHsHODHwIKUKDxB8UmJ5oxP9edExPGl8lHAVyW9ASwHPtNCfTMz6yS+cNG6lJ12GRoTJ9/V6DDMzNptXbhw0csNZmZmluUkwczMzLKcJJiZmVmWkwQzMzPLcpJgZmZmWU4SzMzMLMtJgpmZmWU5STAzM7MsJwlmZmaW5STBzMzMspwkmJmZWZZv8GRdykYb9Fir33duZtaVeSbBzMzMspwkmJmZWZaTBDMzM8tykmBmZmZZiohGx2DWYSS9DDzS6DjWMVsASxsdxDrI4/JOHpO87jAu20VEv+pCf7rBuppHImJ4o4NYl0ia5TF5J4/LO3lM8rrzuHi5wczMzLKcJJiZmVmWkwTrasY3OoB1kMckz+PyTh6TvG47Lr5w0czMzLI8k2BmZmZZThLMzMwsy0mCdQmS/kXSI5IelfT1RsfTKJK2kXSHpIckPSDp1FS+maQ/Slqcfr+30bGubZJ6SJor6Zb03GMivUfSDZIeTn8zI7r7uEg6Lf3bWSTpGkkbd+cxcZJg73qSegA/Aw4EdgCOk7RDY6NqmDeBr0TEh4E9gf9IY/F14LaIGATclp53N6cCD5Wee0zgJ8DkiBgM7EIxPt12XCRtBYwFhkfER4AewLF04zFxkmBdwe7AoxHxeES8DlwLjG5wTA0REc9GxJz0+GWK//S3ohiPK1K1K4DDGhJgg0jaGjgIuKRU3N3HZFNgH+BXABHxekS8SDcfF4ovGewpaX2gF/AM3XhMnCRYV7AV8JfS87+msm5NUhMwFJgObBkRz0KRSADva2BojfBj4GvA6lJZdx+T9wPPA5elZZhLJPWmG49LRDwNnA88BTwLLIuIKXTjMXGSYF2BMmXd+rO9kvoANwJfjoiXGh1PI0k6GHguImY3OpZ1zPrArsAvImIo8ArdaBo9J11rMBrYHhgA9JZ0QmOjaiwnCdYV/BXYpvR8a4opwm5J0gYUCcLVETExFf9NUv+0vT/wXKPia4CPAodKeoJiKWo/SVfRvccEin83f42I6en5DRRJQ3cel/2BJRHxfES8AUwE9qIbj4mTBOsKZgKDJG0vaUOKC40mNTimhpAkijXmhyLigtKmScCJ6fGJwG/XdmyNEhH/FRFbR0QTxd/G7RFxAt14TAAi4v+Av0j6UCr6OPAg3XtcngL2lNQr/Vv6OMV1Pd12TPyNi9YlSPokxbpzD+DSiPhuYyNqDEkjganAQtasv3+D4rqE64BtKf4jPCoi/tGQIBtI0ijgjIg4WNLmdPMxkTSE4mLODYHHgZMp3jx223GRdDZwDMUnheYC/wb0oZuOiZMEMzMzy/Jyg5mZmWU5STAzM7MsJwlmZmaW5STBzMzMspwkmJmZWZaTBDN7V5B0uKSQNLhU1iRphaR5kuZLuq/yuX9Joyp3fCzVv1zSkaXn/SS9Ienf0/MxkiaUtm8q6TFJ21e1M07S06nfByUdV2esizLHVTmGuelOjDMknZi2SdLSyl0HJfVP7Y4s7f+8pM1TTGdIOknSNVV9bJHqbSTpThV3TJ2Xfm7IHNNiSRPLN0pL+w1v/lWyrsZJgpm9WxwH3EPxhUhlj0XEkIjYheLmO99oRZtHAdNS2wAXA1tL2j89/zbF924syez7o4gYQvE1vr9M33TZUqy1PBYRQ9PdO48FTpN0chSfUZ8OjEj19qL47P5eACkhWhoRfy+1NRH4hKRepbIjgUkRsTI9Pz6N2ZCIOLJU70epbBAwAbhdUr86j8G6ICcJZrbOS/ei+CjwOZo/8W4KvNCKpo8DvkKRGGyVTspfBH6c3jV/HDivuQYiYjHwKlB5t19vrLXaexw4neKWxQD3kpKC9PsC3p403Fe1/0vA3cAhpeJjgbfNLtQRxwRgCvDp1uxnXYuTBDN7NzgMmBwRfwb+IWnX0raBaYr8MYqTa/nrqPcuTavPAw6tbJC0DfBPETGD4tv0jgGIiAXAH4DbgLHp9uM1pVgWR0Tl+/ybi7Vec4DKUsV9rEkSdgduZs29SvaiSCKqXUNKUCQNAD4I3FHafnVpXJpLgspxWDfkJMHM3g2Oo7g5E+l3+RqAynLDQODLwPjStqmlafUhvP2eHsdSJAe5Nn8GPB0R5RNrtdMkPUKxHDCuzljrVb6z6QxgqIrbOG8QEcuBxyV9gMxMQnILMFLSpsDRwA0Rsaq0vbzc8NU647BuaP1GB2Bm1px0j4X9gI9ICor7c4Skr2WqTwIuq7Pp44AtJR2fng+QNCgtH6xmzb0vavlRRJwv6VPAlZIGAr1bEWtzhlLcWIiIeFXSo8BnKd7ZQ3EdxSeB9wGPVO8cESskTQYOJ13j0Mr+y3HMauO+1gV4JsHM1nVHAldGxHYR0RQR2wBLgJGZuiOBx1pqMF3w1zsitkptNgHfo23XEEykOJGe2MpYa8XWBJwPXFQqvpdiluT+9Px+4FRgWtS+Ac81FMsvW1IkFa0i6QjgAFp5LYN1LU4SzGxddxxwU1XZjay5oK5yTcJ84FyKu/a1tc22LA1A8SmI04Hjm4l1fWAleQMrH4GkWAK5KCLKMyL3Au9nTZIwB9ia/FJDxRRgADAhk0iUr0n4U6n8tMpHIIETgP0i4vlm+rAuzneBNDNbCySNprgW4OhGx2JWL1+TYGbWySR9m+L7FE5qcChmreKZBDMzM8vyNQlmZmaW5STBzMzMspwkmJmZWZaTBDMzM8tykmBmZmZZ/x8opnfdHGG8ZAAAAABJRU5ErkJggg==\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "sns.barplot(x=skills['ABHAY RAJ DWIVEDI'], y=roles, palette='Blues_r', order=skills.sort_values('ABHAY RAJ DWIVEDI', ascending=False)[:5].index)\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 26,
   "id": "f53746fe",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": 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E4cDZVbUd8BzgA0lWAw4ENgbmVtU2wIlVdSRwI/CcqnrOKEM6C9ilreRfApw0sO9u4MVVtW3r60MDl8Y3Az5eVVvRrcb3auWnVNV2VfV04BrgVa38Y8DH2rhvHJiP57e2tgfmAPOS7NJ2bw6cUFVzq+qGYfN4YJIFSRb88fbfj3JqkqRlsSKG9CpJrgAWAD8HPt3KL62q69v2TsDnAarqWuAG4CnD2nk+8ObW1rnAysBGwG7AMVV1Xzv+1gmO637ge8C+wCpV9bOBfQHenWQx8F1gA2C9tu/6qrqibS8EZrftpyW5IMkS4GXAVq18B+Dktv3FYefzfGAR3Yp5C7rQBrihqi4eadBVdWxVza+q+auuufYET1WSNBEzp3sA0+Cudu/6z9qi9A+DRRNoJ8BeVXXdsLYC1DKO7cvA14EjhpW/DFgXmFdV9yb5Gd0vBQD3DNS7H1ilbX8W2LOqrkxyALDrOH0HeE9VffJBhclsHjw3kqSHyYq4kp6I8+mCkSRPoVshXzeszunA64YuOyeZ28rPAA5ql9NJ8rhWfgewxjj9XgC8B/jSsPK1gJtbQD8HeNIEzmEN4KYkKw2dS3Mxf7kk/pKB8tOBVyZZvY17gyRPmEA/kqQpYkiP7BPAjHap+CTggKoaWrEOrZLfCawELE5yVfsMcBzdZfTFSa4EXtrKjwW+PcaDY1Tng1V1y7BdJwLzkyygC9xrJ3AO/w5cApw5rP4hwBuSXEr3BPltre8z6C5/X9TO+6uM/0uFJGkKpWpZr8yueJLsBbyoqvaf7rEsq/aU911VVUleAuxXVXtMRtuzNnlqveJ9n5uMpiSpV9699/ZT1naShVU1f6R9K+I96WWS5EXAu4BXTvdYHqJ5wNHtMv3veeSfjyQttwzpCaqq0+helPKIVlUXAE+f7nFIksbnPWlJknrKkJYkqacMaUmSesqQliSppwxpSZJ6ypCWJKmnDGlJknrKkJYkqacMaUmSeso3jmnSbPDY1ab0/baStKJxJS1JUk8Z0pIk9ZQhLUlSTxnSkiT1lCEtSVJPGdKSJPWUIS1JUk8Z0pIk9ZQvM9Gkue2P9/CtRddP9zAkadLtPnfjaenXlbQkST1lSEuS1FOGtCRJPWVIS5LUU4a0JEk9ZUhLktRThrQkST1lSEuS1FOGtCRJPWVIS5LUU4a0JEk9ZUhLktRThrQkST21wod0ko8kOWTg8+lJjhv4/KEkbxjj+HOTzB+nj12T3JZkUZLrkpyfZPdJOYEH93NAkqMnu11J0vRY4UMauBDYESDJo4B1gK0G9u8IfH8S+rmgquZW1ebAwcDRSZ43Ce0+bJLMmO4xSNKKxJDuAnjHtr0VcBVwR5LHJnkM8FRgUZJ5Sc5LsrCttmcNtPHyJBcmuSrJ9uN1WFVXAO8AXguQZN0kX0tyWfvzrCSPSvKzJGsPHZfkx0nWG6n+8D6SPCnJWUkWt58btfLPJjkmyQVJfji0ok8yI8kHWnuLk/xzK981yTlJvggsWdrJlSQtuxU+pKvqRuC+FmI7AhcBlwA7APOBxUABRwF7V9U84HjgXQPNrFZVOwKvafsm4nJgi7b9MeAjVbUdsBdwXFU9AHwDeDFAkmcAP6uqX49Uf4T2jwZOqKptgBOBIwf2zQaeDbwQOCbJysCrgNtam9sBr04y9C3n2wOHV9WWEzw3SdIkmDndA+iJodX0jsCHgQ3a9m10l8M3B54GnJkEYAZw08DxXwKoqvOTrJlk7ar6/Th9ZmB7N2DL1jbAmknWAE4C3gp8BnhJ+zxW/UE7AH/ftj8PvH9g31faLwE/SvJTul8Wng9sk2TvVmctYDPgT8ClVXX9iCeRHAgcCLDuX60/zilLkpaGId0Zui+9Nd3l7l8AbwRup1sZB7i6qnYY5fga5/NI5gLXtO1HATtU1V2DFZJcBGyaZF1gT+D/jlN/rP5qlO2hzwFeV1WnD2tzV+APozZadSxwLMBmW249kfOWJE3QCn+5u/k+sDtwa1XdX1W3AmvTrUYvAq4D1k2yA0CSlZIMPly2byvfie6S8W1jdZZkG+DfgY+3ojNo96fb/jkAVVXA1+lW99dU1W/Hqj/MhXSrb4CXAd8b2LdPu+e9CfDkdn6nA/8ryUqtzackWW2s85AkTS1X0p0ldE91f3FY2epVdQtAuwx8ZJK16Obto8DVre7vklwIrAm8cpQ+dk6yCFgVuBk4uKrOavsOBj6eZHFr+3zgoLbvJOAy4ICBtsaqP1jn+CSHAb8BXjGw7zrgPGA94KCqurv9s7PZwOXpluS/oVu9S5KmSbrFmlYUST4LfKuqvjrZbW+25db1kRNPm+xmJWna7T534/ErLaMkC6tqxPdteLlbkqSe8nL3CqaqDpjuMUiSJsaVtCRJPWVIS5LUU4a0JEk9ZUhLktRThrQkST1lSEuS1FOGtCRJPWVIS5LUU4a0JEk9ZUhLktRTvhZUk2atVR8zpS+hl6QVjStpSZJ6ypCWJKmnDGlJknrKkJYkqacMaUmSesqQliSppwxpSZJ6ypCWJKmnfJmJJs09997Pj266fbqHIUlLbbNZa073EEbkSlqSpJ4ypCVJ6ilDWpKknjKkJUnqKUNakqSeMqQlSeopQ1qSpJ4ypCVJ6ilDWpKknjKkJUnqKUNakqSeMqQlSeopQ1qSpJ4ypMeQ5P4kVyS5OsmVSd6QZMw5SzI7yUuXoa/DWz+LW5/PGKPu/CRHLm0fA8e/ZdjnC5emviTp4WFIj+2uqppTVVsBfw38LfC2cY6ZDSxVSCfZAdgd2LaqtgF2A34xWv2qWlBVBy9NH8M8KHSraselqS9JengY0hNUVTcDBwKvTWd2kguSXN7+DAXde4Gd22r49WPUGzQLuKWq7ml93VJVNwIk2S7JhW0lf2mSNZLsmuRbbf9qSY5PclmSRUn2aOUHJDklyXeS/CjJ+1v5e4FV2vhObGV3tp+zkpzf9l2VZOeR6kuSHh6pqukeQ28lubOqVh9W9jtgC+AO4IGqujvJZsCXqmp+kl2BQ6tq91Z/1ZHqDWtzdeB7wKrAd4GTquq8JI8GrgX2rarLkqwJ/BHYaaiPJO8GflBVX0iyNnApMBfYB3hr274HuA7Yqap+Mfy8hj4neSOwclW9K8kMYNWqumOkeRg49kC6X15Yf4MN55172VXLMNOSNL02m7XmtPWdZOHwXBgy8+EezHIg7edKwNFJ5gD3A08Zpf649arqziTzgJ2B5wAnJXkzsBC4qaoua/VuB0gyePjzgRclObR9XhnYqG2fVVW3tWN+ADyJMS6jA5cBxydZCTi1qq4Yo+7Q2I8FjgXY+ulz/Y1PkiaRIb0UkjyZLmhvprs3/Wvg6XS3De4e5bDXT6ReVd0PnAucm2QJsD9wOTBe8AXYq6quGzbWZ9CtoIfczzj/e1fV+Ul2AV4IfD7JB6rqhHH6lyRNEe9JT1CSdYFjgKOru0ewFt0q9wHgH4EZreodwBoDh45Wb7Dtzdul8CFzgBvoLnWvn2S7Vm+NJMOD9nTgdWnL6yRzJ3A697bV8vBxPAm4uao+BXwa2Has+pKkqeVKemyrJLmC7pL1fcDngQ+3fZ8AvpZkH+Ac4A+tfDFwX5Irgc+OUW/Q6sBR7Z7yfcCPgQOr6k9J9m37VgHuonvye9A7gY8Ci1tQ/4zuSfGxHNvqX15VLxso3xU4LMm9wJ3AP41TX5I0hXxwTJNm66fPrVO+c950D0OSllpfHxzzcrckST1lSEuS1FOGtCRJPWVIS5LUU4a0JEk9ZUhLktRThrQkST1lSEuS1FOGtCRJPWVIS5LUU4a0JEk95RdsaNI8ZqUZ0/r+W0la3riSliSppwxpSZJ6ypCWJKmnDGlJknoqVTXdY9ByIskdwHXTPY4eWwe4ZboH0XPO0dicn7E9UufnSVW17kg7fLpbk+m6qpo/3YPoqyQLnJ+xOUdjc37GtjzOj5e7JUnqKUNakqSeMqQ1mY6d7gH0nPMzPudobM7P2Ja7+fHBMUmSesqVtCRJPWVIS5LUU4a0JkWSv0lyXZIfJ3nzdI9nuiXZMMk5Sa5JcnWSf23lj0tyZpIftZ+Pne6xTqckM5IsSvKt9tn5aZKsneSrSa5t/x3t4Pz8RZLXt/9vXZXkS0lWXh7nx5DWQ5ZkBvBx4AXAlsB+Sbac3lFNu/uAN1bVU4FnAv/S5uTNwFlVtRlwVvu8IvtX4JqBz87PX3wM+E5VbQE8nW6enB8gyQbAwcD8qnoaMAN4Ccvh/BjSmgzbAz+uqp9W1Z+ALwN7TPOYplVV3VRVl7ftO+j+gt2Abl4+16p9DthzWgbYA0meCLwQOG6g2PkBkqwJ7AJ8GqCq/lRVv8f5GTQTWCXJTGBV4EaWw/kxpDUZNgB+MfD5l61MQJLZwFzgEmC9qroJuiAHnjCNQ5tuHwXeBDwwUOb8dJ4M/Ab4TLsdcFyS1XB+AKiqXwEfBH4O3ATcVlVnsBzOjyGtyZARyvy3fUCS1YGvAYdU1e3TPZ6+SLI7cHNVLZzusfTUTGBb4D+qai7wB5aDS7eTpd1r3gPYGFgfWC3Jy6d3VFPDkNZk+CWw4cDnJ9JdelqhJVmJLqBPrKpTWvGvk8xq+2cBN0/X+KbZs4AXJfkZ3e2R5yb5As7PkF8Cv6yqS9rnr9KFtvPT2Q24vqp+U1X3AqcAO7Iczo8hrclwGbBZko2TPJruAY7TpnlM0ypJ6O4nXlNVHx7YdRqwf9veH/jGwz22Pqiqf6uqJ1bVbLr/Xs6uqpfj/ABQVf8P+EWSzVvR84Af4PwM+TnwzCSrtv+vPY/uuY/lbn5845gmRZK/pbvHOAM4vqreNb0jml5JdgIuAJbwl3uub6G7L/0VYCO6v2j2qapbp2WQPZFkV+DQqto9yeNxfgBIMofuobpHAz8FXkG3sHJ+gCRvB/al+5cUi4D/CazOcjY/hrQkST3l5W5JknrKkJYkqacMaUmSesqQliSppwxpSZJ6ypCWNCWSvDhJJdlioGx2krvaqy6vSXJpkv0H9h+Q5DdJrmjf/vT69u1G1ybZeqDem5Ic09q7ali/30hy0Thj+5vW97Wtr5OSbNT2fTbJ3sPq3zmwvVWSs5P8sH3b0r+3f6tLkvWSfCvJlUl+kOS/Bs57+DiPSHLo0sypVjyGtKSpsh/wPbqXlQz6SVXNbd8Q9hLg9UleMbD/pKqaQ/dWssOBdYFDgE+kswHwz8C/De8wydp0b+ZaO8nGIw0qydOAo4D9q2qL1teJwOzxTijJKnQvzHhvVT2F7tupdgRe06q8Azizqp5eVUPfeiYtM0Na0qRr7yx/FvAq/ntI/1lV/RR4A93XDg7f91vgx8CsqvoO3Rcp/BPwEeCIqvrdCE3uBXyT7lWjo/X7v4F3V9WfvyKzqk6rqvMncGovBb7fvsyBqvoj8Fr+Esaz6F7pOdTu4gm0KY3KkJY0Ffak+y7kHwK3Jtl2jLqXA1sML2yXn1cGhoLuEOBdwLpV9flR2toP+FL7s98odbZqfY7lA+0y+BVJrhh27IO+FKSqfgKs3r5e8uPAp5Ock+TwJOsPVN1kWJsHjTMGyZCWNCX2o1vN0n6OFpjw379Fbd8kV9O9CvNjVXU3QFXdCJwN/MeIjSTrAZsC32u/HNzXLm2P3nHy+BaaPxx2f/iwqpoz9GfYWEd7TWNV1el0XzP5KbpfPBYlWbft/8mwNo8Za2wSGNKSJll7//ZzgePat1wdRhe8I32lKXTftX3NwOeTqmorYGfgQ0n+amDfAzz4+6cH7Qs8Fri+9TubkS95X01335qq+m0LzGPp3vs8nquB+YMFSZ4M3FlVd7Q2b62qL1bVP9J9+cwuE2hXGpEhLWmy7Q2cUFVPqqrZVbUhcD2w0/CKSWYDH6R7kOtBquoi4PPAv06w3/2Av2l9zgbmMXJIvx84PMlTB8pWnWAfJwI7JdmtjX8V4MjWJkmem2TVtr0GsAndFz1Iy8SQljTZ9gO+Pqzsa3QPXUF3b3ZRkmvovrHoqKr6zChtvQ94RQu8kcwE7mlhvxFw8dCOqroeuD3JMwYPqKoldMF/QvsnWN8Hngp8cbwTq6q7gD2A/5PkOrpvObsMOLpVmQcsSLIYuAg4rqouG69daTR+C5akR6wkewAvq6p/mO6xSFNh5nQPQJKWRZJ30K1qD5jmoUhTxpW0JEk95T1pSZJ6ypCWJKmnDGlJknrKkJYkqacMaUmSeur/AxFA4ltaFqUqAAAAAElFTkSuQmCC\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": 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p84XDlhs2aOUbAl+uqk2AW4G9W/kRwDuqagdg4TiG4CPAn1fV5sArB8q3APZp57pPkmeMo60vAP9aVdu0eA5r5dcAL2pj8hHgkFa+P7A+MLOqNgOOGWjr5qraEvgqcGArOwg4q7W/C/CZJCu1fTsA+1XVS4YHlWT/JJcmufTu228dx2lIksZjKi83rJBkXts+H/gGsCNwcVVdP8Ixl1TVjQBJfs7Dr1qvoLtoAawLHJdkLeBJwGBbp1TVPW37eODDSd4PvBU4coQ+/9dyQ5IZwPVVNRT/HGBGkqcAq1TV0H0U3wbGWgb4EXBkku8AJw2Un1lVt7X+rgKeCfx6jLZ2BTZOMvR41SSrANOBo5JsCBSw3ED9fx9aHqiqPw60NRTLHOAv2/ZuwCuTDCUNywPrte0fDDv+T6pqNjAbYK0NnldjnIMkaZymcpLwp3sShrSL212jHHPfwPZDA48f4uGxOhT4fFWd0tbrZw0c86e2q+ruJD8A9gReC2y9iPEPxrIQWAHICHVHVFXvSLId8HJg3sASyPD2x/O3sAyww0AiBECSQ4Gzq+pVLcE5Z2gXXdLQZ6j/wb4D7F1V1w5rfztGf94kSUvBlF9uWAqmA79t2/uNUfcw4It0MxS9r4IXRVXdAtyRZPtW9LqxjkmyQVVdVFUfAW4GxrOsMJIzgHcOtL1F2xwckzcPq/+OtuRDkqeN0f736e5VSKs/czFilSQtJpOERTcLOD7J+XQX3RFV1Rzgdrr7CEYy/J6EV4/R/9uA2Ul+QvfK+7Yx6n+m3Ry4ADgPuHyM+qM5ANi63YR4Fd07RgA+DXwyyY+AaQP1DwN+BcxPcjnwhjHaP5huqWJ+i/fgxYhVkrSYUuUS7tKSZG26qfeNquqhJdTmylU19I6MDwJrVdW7l0TbU8FaGzyv3vIvR012GJK0xB3y6m2XWttJ5lTV/1oWdyZhKUnyJuAiundSLJEEoXl5m3FYALwQ+PgSbFuSpD+ZyjcuTqqq+ibwzaXQ7nHAcUu6XUmShnMmQZIk9TJJkCRJvUwSJElSL5MESZLUyyRBkiT1MkmQJEm9TBIkSVIvkwRJktTLJEGSJPXyExc1pazz1JWW6uebS9ITiTMJkiSpl0mCJEnqZZIgSZJ6mSRIkqReJgmSJKmXSYIkSeplkiBJknqZJEiSpF5+mJKmlNvuvo9T514/2WFI0mLbY+b6kx2CMwmSJKmfSYIkSeplkiBJknqZJEiSpF4mCZIkqZdJgiRJ6mWSIEmSepkkSJKkXiYJkiSpl0mCJEnqZZIgSZJ6mSRIkqReJgmSJKnXmElCkjWTfDvJL5LMSfKTJK9q+3ZOcuoYx89KcuCiBJXkzkUpH6WdMeMb5dj3JFlxIscOtLFckk8luS7JgiQXJ9l9gm3tlWTjxYhlRpI3jLKvkhw8ULZ6kgeSfGmifUqSHt9GTRKSBDgZOK+qnlVVWwGvA9Z9FGKbbO8BepOEJNPG2cbBwFrA86vq+cArgFUmGM9ewISTBGAG0JskNL8A9hh4/BrgysXob6lI4tebS9KjZKyZhJcA91fVvw8VVNUvq+rQ4RWTPC3JyUnmJ7kwyWYDuzdPclZ7Rf32Vn/lJGcmuSzJFUn2HG/QbYbgnCQnJLkmyTEtoSHJX7SyC4C/HDjmETMa7ZX9jCQrJTktyeWtbJ8kBwBrA2cnObvVvzPJPye5CPhQku8OtPXSJCcNi3FF4O3Au6rqvjZ2v6+q77T9r2/nvSDJvwwcd2eST7R4LmwzOTsCrwQ+k2Rekg3az+ltduf8JBu1449M8sUkP26zP69uTX8KeGE7/r09w3oPcHWSrdvjfYDvDMT1iiQXJZmb5IdJ1hwY18Pb8/GLNnZDx5zc4rsyyf4D5W9L8tN2zNeHZiuSrJHkxCSXtJ8XDPQxO8kZwDdH+LOQJC1hY70q2wS4bJxtfQyYW1V7JXkJ3X/mW7R9mwHbAysBc5OcBtwEvKqqbk+yOnBhklOqqsbZ38wW3++AHwEvSHIp8HW65OZnwHHjaOcvgN9V1csBkkyvqtuSvA/YpapubvVWAhZU1UdaQnJ1kjWq6g/AW4AjhrX7bOBXVXX78A6TrA38C7AVcAtwRpK9qurk1s+FVXVQkk8Db6+qjyc5BTi1qk5obZwJvKOqrkuyHfCVdt7QzV7sBGwEnAKcAHwQOLCqBmcLhjsWeF2S/wYW0o3t2m3fBcD2VVVJ/i/wAeDv276NgF3oZkmuTfLVqnoAeGtV/THJCsAlSU4Engx8GNgSuAM4C7i8tfMF4F+r6oIk6wHfB57X9m0F7FRV94wSvyRpCVqkqdskX6a7+NxfVdsM270TsDdAVZ2VZLUk09u+77X/3O9pr8y3BU4DDknyIuAhYB1gTeC/xxnOxVX1mxbXPLrp9DuB66vqulZ+NLD/SA00VwCfba/mT62q80eotxA4sZ1fJfkW8MYkRwA7AG8aZ9wA2wDntASDJMcAL6Jb2rkfGLqPYg7w0uEHJ1kZ2BE4vk2gQHfxHXJyVT0EXDX0in+cTqdbIvk9/zvBWhc4LslawJOA6wf2ndZmS+5LchPd8/gb4IC0+1eAZwAbAv8HOLeq/tjO5XjgOa3OrsDGA+e0apKh5ZlTRkoQ2izF/gBr/J+1+6pIkiZgrCThStqFH6Cq/q696r+0p256ymrY78HyfYE1gK2q6oEkNwDLjyfo5r6B7YU8fC4jzUQ8yCOXV5YHqKqfJtkKeBnwySRnVNU/9xx/b1UtHHh8BPCfwL3A8VX14LD6PwPWS7JKVd0xbF/fWA15YGA2ZfC8Bi0D3FpVW4zQxuDYjNbXI1TV/Unm0M0QbEJ3D8WQQ4HPV9UpSXYGZo3Q30Jg2VZnV2CHqro7yTl0Yz5aPMu0+o9IBlrScNcocc8GZgNsuPGm452JkiSNYax7Es4Clk/yNwNlI93xfx7dhZ92gbh5YKp9zyTLJ1kN2Bm4BJgO3NQShF2AZ07oDB7pGmD9JBu0x68f2HcD3RQ3SbYE1m/bawN3V9XRwGeH6tBNhY94k2FV/Y5uOv5DwJE9++8GvgF8McmTWl9rJXkjcBHw4nTvIJjW4jx3jHP7UzxtXK9P8prWbpJsPt7jx/A54B+q6n+GlU8Hftu29xtHO9OBW1qCsBHdchPAxXTn/tR0NyHuPXDMGcA7hx4k2WIc/UiSlpJRk4T2inYvuv/Ur09yMXAU8A891WcBWyeZT3eT3OCF5GK65YULgYPbBfaYVv9SuuTimsU7Faiqe+mmnU9Ld+PiLwd2nwg8rS1N/A3w01a+KXBxKz8I+Hgrnw38V1seGckxwK+r6qoR9n8I+APdtP8CuuWEP1TVjcA/AmfTrcdfVlXfG+P0jgXe324c3IBuzN6W5HK6GZ+xbvycDzyY7obIvhsXAaiqK6vqqJ5ds+iWN84Hbu7ZP9zpdDMK8+mWMC5s7f8WOIQuUfohcBVwWzvmANrfUJKrgHeMox9J0lKS8d8nqOHaXflzq+obkx3L40mSlavqzjaT8F3g8Kr67ljHjceGG29a/3rMKUuiKUmaVHvMXP9R6yvJnKraeni5n7g4QW3tfjPg6MmO5XFoVpu5WUB3A+TJkxqNJKmXH0wzQe2DpTQBVbVIn8ApSZocziRIkqReJgmSJKmXSYIkSeplkiBJknqZJEiSpF4mCZIkqZdJgiRJ6mWSIEmSepkkSJKkXiYJkiSplx/LrCll+opPflS/FEWSpjJnEiRJUi+TBEmS1MskQZIk9TJJkCRJvUwSJElSL5MESZLUyyRBkiT1MkmQJEm9/DAlTSn3PbCQ6268fbLDkKRH2HCtVSc7hAlxJkGSJPUySZAkSb1MEiRJUi+TBEmS1MskQZIk9TJJkCRJvUwSJElSL5MESZLUyyRBkiT1MkmQJEm9TBIkSVIvkwRJktTLJEGSJPUySXiMS7IwybwkVya5PMn7koz6vCWZkeQNE+jroNbP/NbndqPU3TrJFxe1j4Hj/2nY4x8vSn1J0tJnkvDYd09VbVFVmwAvBV4GfHSMY2YAi5QkJNkB2APYsqo2A3YFfj1S/aq6tKoOWJQ+hnnERb+qdlyU+pKkpc8k4XGkqm4C9gfemc6MJOcnuaz9DF1oPwW8sM0GvHeUeoPWAm6uqvtaXzdX1e8AkmyT5MdtJuPiJKsk2TnJqW3/SkkOT3JJkrlJ9mzlb05yUpLTk1yX5NOt/FPACi2+Y1rZne33WknOa/sWJHlhX31J0tKXqprsGDSKJHdW1crDym4BNgLuAB6qqnuTbAj8R1VtnWRn4MCq2qPVX7Gv3rA2VwYuAFYEfggcV1XnJnkScA2wT1VdkmRV4G5gp6E+khwCXFVVRyd5CnAxMBN4DfCRtn0fcC2wU1X9evh5DT1O8vfA8lX1iSTTgBWr6o6+cRg4dn+65Im113nGVudcsmACIy1JS8+Ga6062SGMKsmc4dcFgGUnIxgttrTfywFfSrIFsBB4zgj1x6xXVXcm2Qp4IbALcFySDwJzgBur6pJW73aAJIOH7wa8MsmB7fHywHpt+8yquq0dcxXwTEZZxgAuAQ5PshxwclXNG6XuUOyzgdkAm24+06xXkpYQk4THmSTPorvQ30R3b8Lvgc3plo7uHeGw946nXlUtBM4BzklyBbAfcBkw1oU3wN5Vde2wWLejm0EYspAx/uaq6rwkLwJeDnwryWeq6ptj9C9JWgq8J+FxJMkawL8DX6punWg63av8h4C/Aqa1qncAqwwcOlK9wbaf25YihmwB/JJuqWHtJNu0eqskGX6h/z7wrrTphSQzx3E6D7TZguFxPBO4qaq+DnwD2HK0+pKkpceZhMe+FZLMo1syeBD4FvD5tu8rwIlJXgOcDdzVyucDDya5HDhylHqDVgYObfcUPAj8DNi/qu5Psk/btwJwD907HwYdDPwbML8lCjfQvVNiNLNb/cuqat+B8p2B9yd5ALgTeNMY9SVJS4k3LmpK2XTzmXXS6edOdhiS9AiP1xsXXW6QJEm9TBIkSVIvkwRJktTLJEGSJPUySZAkSb1MEiRJUi+TBEmS1MskQZIk9TJJkCRJvUwSJElSL5MESZLUyy940pTy5OWmPeY/I12SHi+cSZAkSb1MEiRJUi+TBEmS1MskQZIk9UpVTXYM0hKT5A7g2smO4zFqdeDmyQ7iMcqxGZljM7qpMj7PrKo1hhf67gZNNddW1daTHcRjUZJLHZt+js3IHJvRTfXxcblBkiT1MkmQJEm9TBI01cye7AAewxybkTk2I3NsRjelx8cbFyVJUi9nEiRJUi+TBEmS1MskQVNCkr9Icm2SnyX54GTHM9mSPCPJ2UmuTnJlkne38qcl+UGS69rvp052rJMhybQkc5Oc2h47Lk2SpyQ5Ick17e9nB8enk+S97d/TgiT/kWT5qT42Jgl63EsyDfgysDuwMfD6JBtPblST7kHg76vqecD2wN+1MfkgcGZVbQic2R4/Eb0buHrgsePysC8Ap1fVRsDmdOP0hB+fJOsABwBbV9XzgWnA65jiY2OSoKlgW+BnVfWLqrofOBbYc5JjmlRVdWNVXda276D7j34dunE5qlU7CthrUgKcREnWBV4OHDZQ/IQfF4AkqwIvAr4BUFX3V9WtOD5DlgVWSLIssCLwO6b42JgkaCpYB/j1wOPftDIBSWYAM4GLgDWr6kboEgng6ZMY2mT5N+ADwEMDZY5L51nAH4Aj2nLMYUlWwvGhqn4LfBb4FXAjcFtVncEUHxuTBE0F6Snzvb1AkpWBE4H3VNXtkx3PZEuyB3BTVc2Z7Fgeo5YFtgS+WlUzgbuYYtPnE9XuNdgTWB9YG1gpyRsnN6qlzyRBU8FvgGcMPF6XbhrwCS3JcnQJwjFVdVIr/n2Stdr+tYCbJiu+SfIC4JVJbqBblnpJkqNxXIb8BvhNVV3UHp9AlzQ4PrArcH1V/aGqHgBOAnZkio+NSYKmgkuADZOsn+RJdDcTnTLJMU2qJKFbV766qj4/sOsUYL+2vR/wvUc7tslUVf9YVetW1Qy6v5OzquqNPMHHZUhV/Tfw6yTPbUV/BlyF4wPdMsP2SVZs/77+jO5enyk9Nn7ioqaEJC+jW2ueBhxeVZ+Y3IgmV5KdgPOBK3h47f2f6O5L+A6wHt1/eq+pqj9OSpCTLMnOwIFVtUeS1XBcAEiyBd1NnU8CfgG8he4F5RN+fJJ8DNiH7t1Dc4H/C6zMFB4bkwRJktTL5QZJktTLJEGSJPUySZAkSb1MEiRJUi+TBEmS1MskQdLjUpKFSea1b+W7PMn7kjxq/6clOSfJ1otSJ8mMJAsm0NeP2++dh765Uno0LDvZAUjSBN1TVVsAJHk68G1gOvDRyQxqSUoyraoWVtWOS6i9ZavqwSXRlp4YnEmQ9LhXVTcB+wPvTGdaks8kuSTJ/CR/PVQ3yfsHyj/WymYkuSbJUa38hCQrtn0fafUXJJndPm2PgfaWacd9fFFibn2en+Sy9rNjK985ydlJvk33YVgkuXPg0JVbfNckOWYonpHibLMZhyQ5F3h3klckuah9gdMPk6zZ6s1Kcnir/4skByzSk6ApySRB0pRQVb+g+z/t6cDb6L6lbxtgG+Dt7WO7dwM2pPt68S2ArZK8qDXxXGB2VW0G3A78bSv/UlVtU1XPB1YA9hjodlngGOCnVfWhEUI7pi2LzAP+30D5TcBLq2pLuk/x++LAvm2Bg6pq4572ZgLvATam+9bGF4wjzqdU1Yur6nPABcD27QucjqX7RswhGwF/3vr/aPv+Dz2BmSRImkqGXuXvBrypXZgvAlajSw52az9zgcvoLoobtmN+XVU/attHAzu17V3aK+8rgJcAmwz09zVgwRgfA75vVW3RlkZeNlC+HPD11u7xdBf9IRdX1fUjtHdxVf2mqh4C5gEzxhHncQPb6wLfb/XeP6zeaVV1X1XdTJfErDnKeekJwHsSJE0JSZ4FLKS7uAV4V1V9f1idPwc+WVVfG1Y+g//99eKVZHngK8DWVfXrJLOA5Qfq/Jju4vy5qrp3EUN+L/B7YHO6F2yDx981ynH3DWwvBJYdR5yD7R0KfL6qTmnfXzFrtLbHcyKaupxJkPS4l2QN4N/pptwL+D7wN0PT5Umek2SlVv7WJCu38nXaTY8A6yXZoW2/nm5afuhCe3M75tXDuv4G3RLC8UkW9YI6HbixzQj8Fd2Xk03UWHEO7/e3bXu/UepJZomSHrdWaMsJy9F9K9+3gKGvxT6Mbhr+snYD3x+AvarqjCTPA37S7uu7E3gj3avmq4H9knwNuA74alXdneTrdDcQ3kD3teSPUFWfTzId+FaSfdtFfzy+ApyY5DXA2Yw+ezCqqrp1rDgHzKJLan4LXAisP9F+NfX5LZCSnvDacsOp7aY/SY3LDZIkqZczCZIkqZczCZIkqZdJgiRJ6mWSIEmSepkkSJKkXiYJkiSp1/8HtBksa/7TrksAAAAASUVORK5CYII=\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    },
    {
     "data": {
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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "for i in range(60):\n",
    "    sns.barplot(x=skills[skills.columns[i]], y=roles, palette='Blues_r', order=skills.sort_values(str(skills.columns[i]), ascending=False)[:5].index)\n",
    "    plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "2a1a6fcf",
   "metadata": {},
   "outputs": [],
   "source": []
  }
 ],
 "metadata": {
  "kernelspec": {
   "display_name": "Python 3",
   "language": "python",
   "name": "python3"
  },
  "language_info": {
   "codemirror_mode": {
    "name": "ipython",
    "version": 3
   },
   "file_extension": ".py",
   "mimetype": "text/x-python",
   "name": "python",
   "nbconvert_exporter": "python",
   "pygments_lexer": "ipython3",
   "version": "3.8.8"
  }
 },
 "nbformat": 4,
 "nbformat_minor": 5
}