Сluster.ipynb

{
 "cells": [
  {
   "cell_type": "code",
   "execution_count": 183,
   "id": "2ab52756",
   "metadata": {},
   "outputs": [],
   "source": [
    "import warnings\n",
    "\n",
    "warnings.filterwarnings(\"ignore\")\n",
    "import numpy as np\n",
    "import pandas as pd\n",
    "\n",
    "pd.set_option(\"display.max.columns\", 100)\n",
    "import pylab as plt\n",
    "\n",
    "%matplotlib inline\n",
    "import seaborn as sns\n",
    "from matplotlib import pyplot as plt\n",
    "\n",
    "plt.rcParams[\"figure.figsize\"] = (10, 8)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 184,
   "id": "83f66e79",
   "metadata": {
    "scrolled": false
   },
   "outputs": [],
   "source": [
    "df = pd.read_csv(\"/Users/user/Documents/Study/Data Sience/job_skills.csv\")"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "29b05b59",
   "metadata": {},
   "source": [
    "Проверим, все ли нормально считалось – посмотрим на первые 5 строк."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 185,
   "id": "e3ecacc6",
   "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>Company</th>\n",
       "      <th>Title</th>\n",
       "      <th>Category</th>\n",
       "      <th>Location</th>\n",
       "      <th>Responsibilities</th>\n",
       "      <th>Minimum Qualifications</th>\n",
       "      <th>Preferred Qualifications</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>Google</td>\n",
       "      <td>Google Cloud Program Manager</td>\n",
       "      <td>Program Management</td>\n",
       "      <td>Singapore</td>\n",
       "      <td>Shape, shepherd, ship, and show technical prog...</td>\n",
       "      <td>BA/BS degree or equivalent practical experienc...</td>\n",
       "      <td>Experience in the business technology market a...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>Google</td>\n",
       "      <td>Supplier Development Engineer (SDE), Cable/Con...</td>\n",
       "      <td>Manufacturing &amp; Supply Chain</td>\n",
       "      <td>Shanghai, China</td>\n",
       "      <td>Drive cross-functional activities in the suppl...</td>\n",
       "      <td>BS degree in an Engineering discipline or equi...</td>\n",
       "      <td>BSEE, BSME or BSIE degree.\\nExperience of usin...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>Google</td>\n",
       "      <td>Data Analyst, Product and Tools Operations, Go...</td>\n",
       "      <td>Technical Solutions</td>\n",
       "      <td>New York, NY, United States</td>\n",
       "      <td>Collect and analyze data to draw insight and i...</td>\n",
       "      <td>Bachelor’s degree in Business, Economics, Stat...</td>\n",
       "      <td>Experience partnering or consulting cross-func...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>Google</td>\n",
       "      <td>Developer Advocate, Partner Engineering</td>\n",
       "      <td>Developer Relations</td>\n",
       "      <td>Mountain View, CA, United States</td>\n",
       "      <td>Work one-on-one with the top Android, iOS, and...</td>\n",
       "      <td>BA/BS degree in Computer Science or equivalent...</td>\n",
       "      <td>Experience as a software developer, architect,...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>Google</td>\n",
       "      <td>Program Manager, Audio Visual (AV) Deployments</td>\n",
       "      <td>Program Management</td>\n",
       "      <td>Sunnyvale, CA, United States</td>\n",
       "      <td>Plan requirements with internal customers.\\nPr...</td>\n",
       "      <td>BA/BS degree or equivalent practical experienc...</td>\n",
       "      <td>CTS Certification.\\nExperience in the construc...</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "  Company                                              Title  \\\n",
       "0  Google                       Google Cloud Program Manager   \n",
       "1  Google  Supplier Development Engineer (SDE), Cable/Con...   \n",
       "2  Google  Data Analyst, Product and Tools Operations, Go...   \n",
       "3  Google            Developer Advocate, Partner Engineering   \n",
       "4  Google     Program Manager, Audio Visual (AV) Deployments   \n",
       "\n",
       "                       Category                          Location  \\\n",
       "0            Program Management                         Singapore   \n",
       "1  Manufacturing & Supply Chain                   Shanghai, China   \n",
       "2           Technical Solutions       New York, NY, United States   \n",
       "3           Developer Relations  Mountain View, CA, United States   \n",
       "4            Program Management      Sunnyvale, CA, United States   \n",
       "\n",
       "                                    Responsibilities  \\\n",
       "0  Shape, shepherd, ship, and show technical prog...   \n",
       "1  Drive cross-functional activities in the suppl...   \n",
       "2  Collect and analyze data to draw insight and i...   \n",
       "3  Work one-on-one with the top Android, iOS, and...   \n",
       "4  Plan requirements with internal customers.\\nPr...   \n",
       "\n",
       "                              Minimum Qualifications  \\\n",
       "0  BA/BS degree or equivalent practical experienc...   \n",
       "1  BS degree in an Engineering discipline or equi...   \n",
       "2  Bachelor’s degree in Business, Economics, Stat...   \n",
       "3  BA/BS degree in Computer Science or equivalent...   \n",
       "4  BA/BS degree or equivalent practical experienc...   \n",
       "\n",
       "                            Preferred Qualifications  \n",
       "0  Experience in the business technology market a...  \n",
       "1  BSEE, BSME or BSIE degree.\\nExperience of usin...  \n",
       "2  Experience partnering or consulting cross-func...  \n",
       "3  Experience as a software developer, architect,...  \n",
       "4  CTS Certification.\\nExperience in the construc...  "
      ]
     },
     "execution_count": 185,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df.head()"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "eb5d4084",
   "metadata": {},
   "source": [
    "Посмотрим на размер данных и названия признаков."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 186,
   "id": "97273679",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "(1250, 7)\n",
      "['Company' 'Title' 'Category' 'Location' 'Responsibilities'\n",
      " 'Minimum Qualifications' 'Preferred Qualifications']\n"
     ]
    }
   ],
   "source": [
    "print(df.shape)\n",
    "print(df.columns.values)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 187,
   "id": "70ffbb93",
   "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>Company</th>\n",
       "      <th>Title</th>\n",
       "      <th>Category</th>\n",
       "      <th>Location</th>\n",
       "      <th>Responsibilities</th>\n",
       "      <th>Minimum Qualifications</th>\n",
       "      <th>Preferred Qualifications</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>count</th>\n",
       "      <td>1250</td>\n",
       "      <td>1250</td>\n",
       "      <td>1250</td>\n",
       "      <td>1250</td>\n",
       "      <td>1235</td>\n",
       "      <td>1236</td>\n",
       "      <td>1236</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>unique</th>\n",
       "      <td>2</td>\n",
       "      <td>794</td>\n",
       "      <td>23</td>\n",
       "      <td>92</td>\n",
       "      <td>801</td>\n",
       "      <td>807</td>\n",
       "      <td>821</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>top</th>\n",
       "      <td>Google</td>\n",
       "      <td>Business Intern 2018</td>\n",
       "      <td>Sales &amp; Account Management</td>\n",
       "      <td>Mountain View, CA, United States</td>\n",
       "      <td>Responsibilities and detailed projects will be...</td>\n",
       "      <td>Must be pursuing a full-time MBA program with ...</td>\n",
       "      <td>Previous internship experience in Sales, Adver...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>freq</th>\n",
       "      <td>1227</td>\n",
       "      <td>35</td>\n",
       "      <td>168</td>\n",
       "      <td>190</td>\n",
       "      <td>33</td>\n",
       "      <td>32</td>\n",
       "      <td>32</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "       Company                 Title                    Category  \\\n",
       "count     1250                  1250                        1250   \n",
       "unique       2                   794                          23   \n",
       "top     Google  Business Intern 2018  Sales & Account Management   \n",
       "freq      1227                    35                         168   \n",
       "\n",
       "                                Location  \\\n",
       "count                               1250   \n",
       "unique                                92   \n",
       "top     Mountain View, CA, United States   \n",
       "freq                                 190   \n",
       "\n",
       "                                         Responsibilities  \\\n",
       "count                                                1235   \n",
       "unique                                                801   \n",
       "top     Responsibilities and detailed projects will be...   \n",
       "freq                                                   33   \n",
       "\n",
       "                                   Minimum Qualifications  \\\n",
       "count                                                1236   \n",
       "unique                                                807   \n",
       "top     Must be pursuing a full-time MBA program with ...   \n",
       "freq                                                   32   \n",
       "\n",
       "                                 Preferred Qualifications  \n",
       "count                                                1236  \n",
       "unique                                                821  \n",
       "top     Previous internship experience in Sales, Adver...  \n",
       "freq                                                   32  "
      ]
     },
     "execution_count": 187,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df.describe()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 188,
   "id": "2509f834",
   "metadata": {
    "scrolled": true
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "<class 'pandas.core.frame.DataFrame'>\n",
      "RangeIndex: 1250 entries, 0 to 1249\n",
      "Data columns (total 7 columns):\n",
      " #   Column                    Non-Null Count  Dtype \n",
      "---  ------                    --------------  ----- \n",
      " 0   Company                   1250 non-null   object\n",
      " 1   Title                     1250 non-null   object\n",
      " 2   Category                  1250 non-null   object\n",
      " 3   Location                  1250 non-null   object\n",
      " 4   Responsibilities          1235 non-null   object\n",
      " 5   Minimum Qualifications    1236 non-null   object\n",
      " 6   Preferred Qualifications  1236 non-null   object\n",
      "dtypes: object(7)\n",
      "memory usage: 68.5+ KB\n"
     ]
    }
   ],
   "source": [
    "df.info()"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "51226647",
   "metadata": {},
   "source": [
    "## Визуальный анализ данных"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 189,
   "id": "5aa0c989",
   "metadata": {
    "scrolled": false
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "Text(0.5, 1.0, 'Names of the companies')"
      ]
     },
     "execution_count": 189,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 500x500 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "sns.catplot(x=\"Company\", data=df, kind=\"count\")\n",
    "plt.title('Names of the companies', fontsize=20)"
   ]
  },
  {
   "cell_type": "raw",
   "id": "d31dd027",
   "metadata": {},
   "source": [
    "Оказывается Google и YouTube разные компании"
   ]
  },
  {
   "cell_type": "raw",
   "id": "c7645c18",
   "metadata": {
    "scrolled": false
   },
   "source": [
    "df[\"Category\"].value_counts()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 190,
   "id": "f21080d7",
   "metadata": {
    "scrolled": false
   },
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 1000x800 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "df[\"Category\"].value_counts().plot(kind=\"bar\", label=\"Category\")\n",
    "plt.legend()\n",
    "plt.title(\"Category\");"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "c6dc50b6",
   "metadata": {},
   "source": [
    "Видим,что большинство работает в сфере продаж и менеджмента"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 191,
   "id": "d8d6e4a5",
   "metadata": {
    "scrolled": false
   },
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 1200x800 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "bb = df['Location'].value_counts()\n",
    "location = pd.DataFrame(bb)\n",
    "location.head(10).plot.bar(legend='', figsize=(12,8), title='Locations with the most number of advertised jobs')\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "5df1c170",
   "metadata": {},
   "source": [
    "Большнинство сотрудников работает в Mountain View USA"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "de3ab74d",
   "metadata": {},
   "source": [
    "# Очистка данных"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 192,
   "id": "cb4ba389",
   "metadata": {
    "scrolled": false
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "created missing indicator for: Responsibilities\n",
      "created missing indicator for: Minimum Qualifications\n",
      "created missing indicator for: Preferred Qualifications\n"
     ]
    },
    {
     "data": {
      "text/plain": [
       "<AxesSubplot: xlabel='index'>"
      ]
     },
     "execution_count": 192,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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AAACSiCMAAIAk4ggAACCJOAIAAEjyIeJo4cKFOe6441JRUZGioqLcddddjfY3NDRk+vTp6d27dzp37pxhw4bl+eefb7Rm3bp1GTNmTIqLi1NaWprx48dnw4YNjdYsX748X/jCF9KpU6f06dMnM2bM+OBnBwAAsIM+cBxt3LgxBx98cK677rp33T9jxozMnDkzs2fPzqJFi9K1a9eMGDEimzdvLqwZM2ZMVqxYkfnz52fu3LlZuHBhJkyYUNhfV1eX4cOH5+Mf/3iWLl2an/zkJ7nwwgtzww03fIhTBAAAeH9FDQ0NDR/6yUVFufPOO3P88ccneetdo4qKipx55pk566yzkiS1tbUpKyvLLbfcktGjR2flypUZOHBglixZkiFDhiRJ5s2bl2OPPTavvvpqKioqMmvWrJx77rmprq5Ohw4dkiRTp07NXXfdleeee26HZqurq0tJSUlqa2tTXFz8YU9xl9Zv6j0tPQKtwMuXj2zpEQAAWtSOtkGTfufopZdeSnV1dYYNG1bYVlJSkqFDh6aqqipJUlVVldLS0kIYJcmwYcPSpk2bLFq0qLDmi1/8YiGMkmTEiBFZtWpVXn/99aYcGQAAIEnSrikPVl1dnSQpKytrtL2srKywr7q6Or169Wo8RLt26d69e6M1/fv3f8cxtu/be++93/Ha9fX1qa+vL/xcV1f3Ec8GAADYk+w2V6u77LLLUlJSUnj06dOnpUcCAAB2IU0aR+Xl5UmStWvXNtq+du3awr7y8vLU1NQ02v/mm29m3bp1jda82zH+9jXebtq0aamtrS081qxZ89FPCAAA2GM0aRz1798/5eXlWbBgQWFbXV1dFi1alMrKyiRJZWVl1q9fn6VLlxbWPPDAA9m2bVuGDh1aWLNw4cJs2bKlsGb+/PnZb7/93vUjdUnSsWPHFBcXN3oAAADsqA8cRxs2bMiyZcuybNmyJG9dhGHZsmVZvXp1ioqKMmXKlFx88cX57W9/m6effjrf/va3U1FRUbii3YABA3L00UfnlFNOyeLFi/PII49k8uTJGT16dCoqKpIkJ510Ujp06JDx48dnxYoVueOOO/Lzn/88Z5xxRpOdOAAAwN/6wBdkePzxx/OlL32p8PP2YBk3blxuueWWnH322dm4cWMmTJiQ9evX5/Of/3zmzZuXTp06FZ4zZ86cTJ48OUcddVTatGmTUaNGZebMmYX9JSUluf/++zNp0qQMHjw4PXv2zPTp0xvdCwkAAKApfaT7HLVm7nPkPke8xX2OAIA9XYvc5wgAAGBXJY4AAAAijgAAAJKIIwAAgCTiCAAAIIk4AgAASCKOAAAAkogjAACAJOIIAAAgiTgCAABIIo4AAACSiCMAAIAk4ggAACCJOAIAAEgijgAAAJKIIwAAgCTiCAAAIIk4AgAASCKOAAAAkogjAACAJOIIAAAgiTgCAABIIo4AAACSiCMAAIAk4ggAACCJOAIAAEgijgAAAJKIIwAAgCTiCAAAIIk4AgAASCKOAAAAkogjAACAJOIIAAAgiTgCAABIIo4AAACSiCMAAIAk4ggAACCJOAIAAEgijgAAAJKIIwAAgCTiCAAAIIk4AgAASCKOAAAAkogjAACAJOIIAAAgiTgCAABIIo4AAACSiCMAAIAk4ggAACCJOAIAAEgijgAAAJKIIwAAgCTiCAAAIIk4AgAASCKOAAAAkogjAACAJOIIAAAgiTgCAABIIo4AAACSiCMAAIAk4ggAACCJOAIAAEgijgAAAJKIIwAAgCTiCAAAIIk4AgAASCKOAAAAkogjAACAJOIIAAAgiTgCAABIIo4AAACSiCMAAIAk4ggAACCJOAIAAEgijgAAAJKIIwAAgCTiCAAAIIk4AgAASCKOAAAAkogjAACAJOIIAAAgiTgCAABIIo4AAACSiCMAAIAkzRBHW7duzfnnn5/+/func+fO+cQnPpEf//jHaWhoKKxpaGjI9OnT07t373Tu3DnDhg3L888/3+g469aty5gxY1JcXJzS0tKMHz8+GzZsaOpxAQAAkjRDHF1xxRWZNWtWrr322qxcuTJXXHFFZsyYkWuuuaawZsaMGZk5c2Zmz56dRYsWpWvXrhkxYkQ2b95cWDNmzJisWLEi8+fPz9y5c7Nw4cJMmDChqccFAABIkhQ1/O1bOk3gy1/+csrKyvLLX/6ysG3UqFHp3LlzfvWrX6WhoSEVFRU588wzc9ZZZyVJamtrU1ZWlltuuSWjR4/OypUrM3DgwCxZsiRDhgxJksybNy/HHntsXn311VRUVLzvHHV1dSkpKUltbW2Ki4ub8hR3Gf2m3tPSI9AKvHz5yJYeAQCgRe1oGzT5O0eHHXZYFixYkD/+8Y9Jkqeeeir/8z//k2OOOSZJ8tJLL6W6ujrDhg0rPKekpCRDhw5NVVVVkqSqqiqlpaWFMEqSYcOGpU2bNlm0aFFTjwwAAJB2TX3AqVOnpq6uLvvvv3/atm2brVu35pJLLsmYMWOSJNXV1UmSsrKyRs8rKysr7Kuurk6vXr0aD9quXbp3715Y83b19fWpr68v/FxXV9dk5wQAAOz+mvydo//8z//MnDlzctttt+WJJ57Irbfemp/+9Ke59dZbm/qlGrnssstSUlJSePTp06dZXw8AANi9NHkc/fCHP8zUqVMzevToHHjggRk7dmxOP/30XHbZZUmS8vLyJMnatWsbPW/t2rWFfeXl5ampqWm0/80338y6desKa95u2rRpqa2tLTzWrFnT1KcGAADsxpo8jjZt2pQ2bRoftm3bttm2bVuSpH///ikvL8+CBQsK++vq6rJo0aJUVlYmSSorK7N+/fosXbq0sOaBBx7Itm3bMnTo0Hd93Y4dO6a4uLjRAwAAYEc1+XeOjjvuuFxyySXp27dvDjjggDz55JP52c9+lu9+97tJkqKiokyZMiUXX3xx9t133/Tv3z/nn39+KioqcvzxxydJBgwYkKOPPjqnnHJKZs+enS1btmTy5MkZPXr0Dl2pDgAA4INq8ji65pprcv755+fUU09NTU1NKioq8s///M+ZPn16Yc3ZZ5+djRs3ZsKECVm/fn0+//nPZ968eenUqVNhzZw5czJ58uQcddRRadOmTUaNGpWZM2c29bgAAABJmuE+R62F+xy5zxFvcZ8jAGBP12L3OQIAANgViSMAAICIIwAAgCTiCAAAIIk4AgAASCKOAAAAkogjAACAJOIIAAAgiTgCAABIIo4AAACSiCMAAIAk4ggAACCJOAIAAEgijgAAAJKIIwAAgCTiCAAAIIk4AgAASCKOAAAAkogjAACAJOIIAAAgiTgCAABIIo4AAACSiCMAAIAk4ggAACCJOAIAAEgijgAAAJKIIwAAgCTiCAAAIIk4AgAASCKOAAAAkogjAACAJOIIAAAgiTgCAABIIo4AAACSiCMAAIAk4ggAACCJOAIAAEgijgAAAJKIIwAAgCTiCAAAIIk4AgAASCKOAAAAkogjAACAJOIIAAAgiTgCAABIIo4AAACSiCMAAIAk4ggAACCJOAIAAEgijgAAAJKIIwAAgCTiCAAAIIk4AgAASCKOAAAAkogjAACAJOIIAAAgiTgCAABIIo4AAACSiCMAAIAk4ggAACCJOAIAAEgijgAAAJKIIwAAgCTiCAAAIIk4AgAASCKOAAAAkogjAACAJOIIAAAgiTgCAABIIo4AAACSiCMAAIAk4ggAACCJOAIAAEgijgAAAJKIIwAAgCTiCAAAIIk4AgAASCKOAAAAkogjAACAJOIIAAAgiTgCAABIIo4AAACSiCMAAIAk4ggAACBJM8XR//7v/+Zb3/pWevTokc6dO+fAAw/M448/Xtjf0NCQ6dOnp3fv3uncuXOGDRuW559/vtEx1q1blzFjxqS4uDilpaUZP358NmzY0BzjAgAANH0cvf766zn88MPTvn373HvvvXn22Wdz5ZVXZu+99y6smTFjRmbOnJnZs2dn0aJF6dq1a0aMGJHNmzcX1owZMyYrVqzI/PnzM3fu3CxcuDATJkxo6nEBAACSJEUNDQ0NTXnAqVOn5pFHHskf/vCHd93f0NCQioqKnHnmmTnrrLOSJLW1tSkrK8stt9yS0aNHZ+XKlRk4cGCWLFmSIUOGJEnmzZuXY489Nq+++moqKired466urqUlJSktrY2xcXFTXeCu5B+U+9p6RFoBV6+fGRLjwAA0KJ2tA2a/J2j3/72txkyZEi+/vWvp1evXhk0aFBuvPHGwv6XXnop1dXVGTZsWGFbSUlJhg4dmqqqqiRJVVVVSktLC2GUJMOGDUubNm2yaNGiph4ZAACg6ePoxRdfzKxZs7Lvvvvmvvvuy8SJE/ODH/wgt956a5Kkuro6SVJWVtboeWVlZYV91dXV6dWrV6P97dq1S/fu3Qtr3q6+vj51dXWNHgAAADuqXVMfcNu2bRkyZEguvfTSJMmgQYPyzDPPZPbs2Rk3blxTv1zBZZddlh/96EfNdnwAAGD31uTvHPXu3TsDBw5stG3AgAFZvXp1kqS8vDxJsnbt2kZr1q5dW9hXXl6empqaRvvffPPNrFu3rrDm7aZNm5ba2trCY82aNU1yPgAAwJ6hyePo8MMPz6pVqxpt++Mf/5iPf/zjSZL+/funvLw8CxYsKOyvq6vLokWLUllZmSSprKzM+vXrs3Tp0sKaBx54INu2bcvQoUPf9XU7duyY4uLiRg8AAIAd1eQfqzv99NNz2GGH5dJLL82JJ56YxYsX54YbbsgNN9yQJCkqKsqUKVNy8cUXZ999903//v1z/vnnp6KiIscff3ySt95pOvroo3PKKadk9uzZ2bJlSyZPnpzRo0fv0JXqAAAAPqgmj6PPfvazufPOOzNt2rRcdNFF6d+/f66++uqMGTOmsObss8/Oxo0bM2HChKxfvz6f//znM2/evHTq1KmwZs6cOZk8eXKOOuqotGnTJqNGjcrMmTObelwAAIAkzXCfo9bCfY7c54i3uM8RALCna7H7HAEAAOyKxBEAAEDEEQAAQBJxBAAAkEQcAQAAJBFHAAAAScQRAABAEnEEAACQRBwBAAAkEUcAAABJxBEAAEAScQQAAJBEHAEAACQRRwAAAEnEEQAAQBJxBAAAkEQcAQAAJBFHAAAAScQRAABAEnEEAACQRBwBAAAkEUcAAABJxBEAAEAScQQAAJBEHAEAACQRRwAAAEnEEQAAQBJxBAAAkEQcAQAAJBFHAAAAScQRAABAEnEEAACQRBwBAAAkEUcAAABJxBEAAEAScQQAAJBEHAEAACQRRwAAAEnEEQAAQBJxBAAAkEQcAQAAJBFHAAAAScQRAABAEnEEAACQRBwBAAAkEUcAAABJxBEAAEAScQQAAJBEHAEAACQRRwAAAEnEEQAAQBJxBAAAkEQcAQAAJBFHAAAAScQRAABAEnEEAACQRBwBAAAkEUcAAABJxBEAAEAScQQAAJBEHAEAACQRRwAAAEnEEQAAQBJxBAAAkEQcAQAAJBFHAAAAScQRAABAEnEEAACQRBwBAAAkEUcAAABJxBEAAEAScQQAAJBEHAEAACQRRwAAAEnEEQAAQBJxBAAAkEQcAQAAJBFHAAAAScQRAABAEnEEAACQRBwBAAAkEUcAAABJxBEAAEAScQQAAJBkJ8TR5ZdfnqKiokyZMqWwbfPmzZk0aVJ69OiRvfbaK6NGjcratWsbPW/16tUZOXJkunTpkl69euWHP/xh3nzzzeYeFwAA2EM1axwtWbIkv/jFL3LQQQc12n766afn7rvvzq9//es8/PDDee211/K1r32tsH/r1q0ZOXJk3njjjTz66KO59dZbc8stt2T69OnNOS4AALAHa7Y42rBhQ8aMGZMbb7wxe++9d2F7bW1tfvnLX+ZnP/tZjjzyyAwePDg333xzHn300Tz22GNJkvvvvz/PPvtsfvWrX+WQQw7JMccckx//+Me57rrr8sYbbzTXyAAAwB6s2eJo0qRJGTlyZIYNG9Zo+9KlS7Nly5ZG2/fff//07ds3VVVVSZKqqqoceOCBKSsrK6wZMWJE6urqsmLFiuYaGQAA2IO1a46D3n777XniiSeyZMmSd+yrrq5Ohw4dUlpa2mh7WVlZqqurC2v+Noy279++793U19envr6+8HNdXd1HOQUAAGAP0+TvHK1Zsyb/8i//kjlz5qRTp05Nffj3dNlll6WkpKTw6NOnz057bQAAYNfX5HG0dOnS1NTU5DOf+UzatWuXdu3a5eGHH87MmTPTrl27lJWV5Y033sj69esbPW/t2rUpLy9PkpSXl7/j6nXbf96+5u2mTZuW2trawmPNmjVNfWoAAMBurMnj6KijjsrTTz+dZcuWFR5DhgzJmDFjCn9u3759FixYUHjOqlWrsnr16lRWViZJKisr8/TTT6empqawZv78+SkuLs7AgQPf9XU7duyY4uLiRg8AAIAd1eTfOerWrVs+/elPN9rWtWvX9OjRo7B9/PjxOeOMM9K9e/cUFxfntNNOS2VlZQ499NAkyfDhwzNw4MCMHTs2M2bMSHV1dc4777xMmjQpHTt2bOqRAQAAmueCDO/nqquuSps2bTJq1KjU19dnxIgRuf766wv727Ztm7lz52bixImprKxM165dM27cuFx00UUtMS4AALAHKGpoaGho6SGaQ11dXUpKSlJbW7vHfsSu39R7WnoEWoGXLx/Z0iMAALSoHW2DZrvPEQAAwK5EHAEAAEQcAQAAJBFHAAAAScQRAABAEnEEAACQRBwBAAAkEUcAAABJxBEAAEAScQQAAJBEHAEAACQRRwAAAEnEEQAAQBJxBAAAkEQcAQAAJBFHAAAAScQRAABAEnEEAACQRBwBAAAkEUcAAABJxBEAAEAScQQAAJBEHAEAACQRRwAAAEnEEQAAQBJxBAAAkEQcAQAAJBFHAAAAScQRAABAEnEEAACQRBwBAAAkEUcAAABJxBEAAEAScQQAAJBEHAEAACQRRwAAAEnEEQAAQBJxBAAAkEQcAQAAJBFHAAAAScQRAABAEnEEAACQRBwBAAAkEUcAAABJxBEAAEAScQQAAJBEHAEAACQRRwAAAEnEEQAAQBJxBAAAkEQcAQAAJBFHAAAAScQRAABAEnEEAACQRBwBAAAkEUcAAABJxBEAAEAScQQAAJBEHAEAACQRRwAAAEnEEQAAQBJxBAAAkEQcAQAAJBFHAAAAScQRAABAEnEEAACQRBwBAAAkEUcAAABJxBEAAEAScQQAAJBEHAEAACQRRwAAAEnEEQAAQBJxBAAAkEQcAQAAJBFHAAAAScQRAABAEnEEAACQRBwBAAAkEUcAAABJxBEAAEAScQQAAJBEHAEAACQRRwAAAEmaIY4uu+yyfPazn023bt3Sq1evHH/88Vm1alWjNZs3b86kSZPSo0eP7LXXXhk1alTWrl3baM3q1aszcuTIdOnSJb169coPf/jDvPnmm009LgAAQJJmiKOHH344kyZNymOPPZb58+dny5YtGT58eDZu3FhYc/rpp+fuu+/Or3/96zz88MN57bXX8rWvfa2wf+vWrRk5cmTeeOONPProo7n11ltzyy23ZPr06U09LgAAQJKkqKGhoaE5X+DPf/5zevXqlYcffjhf/OIXU1tbm3322Se33XZbTjjhhCTJc889lwEDBqSqqiqHHnpo7r333nz5y1/Oa6+9lrKysiTJ7Nmzc8455+TPf/5zOnTo8L6vW1dXl5KSktTW1qa4uLg5T7HV6jf1npYegVbg5ctHtvQIAAAtakfboNm/c1RbW5sk6d69e5Jk6dKl2bJlS4YNG1ZYs//++6dv376pqqpKklRVVeXAAw8shFGSjBgxInV1dVmxYkVzjwwAAOyB2jXnwbdt25YpU6bk8MMPz6c//ekkSXV1dTp06JDS0tJGa8vKylJdXV1Y87dhtH3/9n3vpr6+PvX19YWf6+rqmuo0AACAPUCzvnM0adKkPPPMM7n99tub82WSvHUhiJKSksKjT58+zf6aAADA7qPZ4mjy5MmZO3duHnzwwXzsYx8rbC8vL88bb7yR9evXN1q/du3alJeXF9a8/ep123/evubtpk2bltra2sJjzZo1TXg2AADA7q7J46ihoSGTJ0/OnXfemQceeCD9+/dvtH/w4MFp3759FixYUNi2atWqrF69OpWVlUmSysrKPP3006mpqSmsmT9/foqLizNw4MB3fd2OHTumuLi40QMAAGBHNfl3jiZNmpTbbrst//3f/51u3boVviNUUlKSzp07p6SkJOPHj88ZZ5yR7t27p7i4OKeddloqKytz6KGHJkmGDx+egQMHZuzYsZkxY0aqq6tz3nnnZdKkSenYsWNTjwwAAND0cTRr1qwkyRFHHNFo+80335zvfOc7SZKrrroqbdq0yahRo1JfX58RI0bk+uuvL6xt27Zt5s6dm4kTJ6aysjJdu3bNuHHjctFFFzX1uAAAAEl2wn2OWor7HLnPEW9xnyMAYE/Xau5zBAAAsCsQRwAAABFHAAAAScQRAABAEnEEAACQRBwBAAAkEUcAAABJxBEAAEAScQQAAJBEHAEAACQRRwAAAEnEEQAAQBJxBAAAkEQcAQAAJBFHAAAAScQRAABAEnEEAACQRBwBAAAkEUcAAABJxBEAAEAScQQAAJBEHAEAACQRRwAAAEnEEQAAQBJxBAAAkEQcAQAAJBFHAAAAScQRAABAEnEEAACQRBwBAAAkEUcAAABJxBEAAEAScQQAAJBEHAEAACQRRwAAAEnEEQAAQBJxBAAAkEQcAQAAJBFHAAAAScQRAABAEnEEAACQRBwBAAAkEUcAAABJxBEAAEAScQQAAJBEHAEAACQRRwAAAEnEEQAAQBJxBAAAkEQcAQAAJBFHAAAAScQRAABAEnEEAACQRBwBAAAkEUcAAABJxBEAAEAScQQAAJBEHAEAACQRRwAAAEnEEQAAQBJxBAAAkEQcAQAAJBFHAAAAScQRAABAEnEEAACQRBwBAAAkEUcAAABJxBEAAEAScQQAAJBEHAEAACQRRwAAAEnEEQAAQBJxBAAAkEQcAQAAJBFHAAAAScQRAABAEnEEAACQRBwBAAAkEUcAAABJxBEAAEAScQQAAJBEHAEAACRJ2rX0AAAANK9+U+9p6RFoYS9fPrKlR9gleOcIAAAg4ggAACBJK4+j6667Lv369UunTp0ydOjQLF68uKVHAgAAdlOtNo7uuOOOnHHGGbngggvyxBNP5OCDD86IESNSU1PT0qMBAAC7oVYbRz/72c9yyimn5OSTT87AgQMze/bsdOnSJTfddFNLjwYAAOyGWuXV6t54440sXbo006ZNK2xr06ZNhg0blqqqqnd9Tn19ferr6ws/19bWJknq6uqad9hWbFv9ppYegVZgT/5vgLd8+oL7WnoEWtgzPxrR0iPQwvybgD393wPbz7+hoeHvrmuVcfSXv/wlW7duTVlZWaPtZWVlee655971OZdddll+9KMfvWN7nz59mmVG2FWUXN3SEwAtze8BwO+Bt/z1r39NSUnJe+5vlXH0YUybNi1nnHFG4edt27Zl3bp16dGjR4qKilpwMlpKXV1d+vTpkzVr1qS4uLilxwFagN8DQOJ3AW+9Y/TXv/41FRUVf3ddq4yjnj17pm3btlm7dm2j7WvXrk15efm7Pqdjx47p2LFjo22lpaXNNSK7kOLiYr8IYQ/n9wCQ+F2wp/t77xht1yovyNChQ4cMHjw4CxYsKGzbtm1bFixYkMrKyhacDAAA2F21yneOkuSMM87IuHHjMmTIkHzuc5/L1VdfnY0bN+bkk09u6dEAAIDdUKuNo2984xv585//nOnTp6e6ujqHHHJI5s2b946LNMB76dixYy644IJ3fNwS2HP4PQAkfhew44oa3u96dgAAAHuAVvmdIwAAgJ1NHAEAAEQcAQAAJBFHAAAASVrx1ergg/rLX/6Sm266KVVVVamurk6SlJeX57DDDst3vvOd7LPPPi08IQAArZmr1bFbWLJkSUaMGJEuXbpk2LBhhUu+r127NgsWLMimTZty3333ZciQIS08KQDQ3FauXJnHHnsslZWV2X///fPcc8/l5z//eerr6/Otb30rRx55ZEuPSCsljtgtHHrooTn44IMze/bsFBUVNdrX0NCQ73//+1m+fHmqqqpaaEKgNVizZk0uuOCC3HTTTS09CtBM5s2bl69+9avZa6+9smnTptx555359re/nYMPPjjbtm3Lww8/nPvvv18g8a7EEbuFzp0758knn8z+++//rvufe+65DBo0KP/3f/+3kycDWpOnnnoqn/nMZ7J169aWHgVoJocddliOPPLIXHzxxbn99ttz6qmnZuLEibnkkkuSJNOmTcvSpUtz//33t/CktEa+c8Ruoby8PIsXL37POFq8eHHho3bA7uu3v/3t393/4osv7qRJgJayYsWK/Nu//VuS5MQTT8zYsWNzwgknFPaPGTMmN998c0uNRysnjtgtnHXWWZkwYUKWLl2ao4466h3fObrxxhvz05/+tIWnBJrb8ccfn6Kiovy9D0W8/aO3wO5n+3/nbdq0SadOnVJSUlLY161bt9TW1rbUaLRy4ojdwqRJk9KzZ89cddVVuf766wsfmWnbtm0GDx6cW265JSeeeGILTwk0t969e+f666/PV7/61Xfdv2zZsgwePHgnTwXsTP369cvzzz+fT3ziE0mSqqqq9O3bt7B/9erV6d27d0uNRysnjthtfOMb38g3vvGNbNmyJX/5y1+SJD179kz79u1beDJgZxk8eHCWLl36nnH0fu8qAbu+iRMnNvpe4ac//elG+++9914XY+A9uSADALuNP/zhD9m4cWOOPvrod92/cePGPP744/nHf/zHnTwZALsCcQQAAJCkTUsPAAAA0BqIIwAAgIgjAACAJOIIgFbsiCOOyJQpUz70819++eUUFRVl2bJlTTYTALsvl/IGoNX6zW9+43L8AOw04giAVqt79+4tPQIAexAfqwOg1frbj9X169cvl156ab773e+mW7du6du3b2644YZG6xcvXpxBgwalU6dOGTJkSJ588sl3HPOZZ57JMccck7322itlZWUZO3Zs4cbRDz30UDp06JA//OEPhfUzZsxIr169snbt2uY7UQBaBXEEwC7jyiuvLETPqaeemokTJ2bVqlVJkg0bNuTLX/5yBg4cmKVLl+bCCy/MWWed1ej569evz5FHHplBgwbl8ccfz7x587J27dqceOKJSf5/jI0dOza1tbV58sknc/755+df//VfU1ZWttPPF4Cdy8fqANhlHHvssTn11FOTJOecc06uuuqqPPjgg9lvv/1y2223Zdu2bfnlL3+ZTp065YADDsirr76aiRMnFp5/7bXXZtCgQbn00ksL22666ab06dMnf/zjH/OpT30qF198cebPn58JEybkmWeeybhx4/KVr3xlp58rADufOAJgl3HQQQcV/lxUVJTy8vLU1NQkSVauXJmDDjoonTp1KqyprKxs9PynnnoqDz74YPbaa693HPuFF17Ipz71qXTo0CFz5szJQQcdlI9//OO56qqrmulsAGhtxBEAu4y3X7muqKgo27Zt2+Hnb9iwIccdd1yuuOKKd+zr3bt34c+PPvpokmTdunVZt25dunbt+iEnBmBX4jtHAOwWBgwYkOXLl2fz5s2FbY899lijNZ/5zGeyYsWK9OvXL5/85CcbPbYH0AsvvJDTTz89N954Y4YOHZpx48Z9oAADYNcljgDYLZx00kkpKirKKaeckmeffTa/+93v8tOf/rTRmkmTJmXdunX55je/mSVLluSFF17Ifffdl5NPPjlbt27N1q1b861vfSsjRozIySefnJtvvjnLly/PlVde2UJnBcDOJI4A2C3stddeufvuu/P0009n0KBBOffcc9/x8bmKioo88sgj2bp1a4YPH54DDzwwU6ZMSWlpadq0aZNLLrkkr7zySn7xi18keeujdjfccEPOO++8PPXUUy1xWgDsREUNDQ0NLT0EAABAS/POEQAAQMQRAABAEnEEAACQRBwBAAAkEUcAAABJxBEAAEAScQQAAJBEHAEAACQRRwAAAEnEEQAAQBJxBAAAkEQcAQAAJEn+HydAMCqTHSh1AAAAAElFTkSuQmCC\n",
      "text/plain": [
       "<Figure size 1000x800 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "# сначала создаем индикатор для признаков с пропущенными данными\n",
    "for col in df.columns:\n",
    "    missing = df[col].isnull()\n",
    "    num_missing = np.sum(missing)\n",
    "    \n",
    "    if num_missing > 0:  \n",
    "        print('created missing indicator for: {}'.format(col))\n",
    "        df['{}_ismissing'.format(col)] = missing\n",
    "\n",
    "\n",
    "# затем на основе индикатора строим гистограмму\n",
    "ismissing_cols = [col for col in df.columns if 'ismissing' in col]\n",
    "df['num_missing'] = df[ismissing_cols].sum(axis=1)\n",
    "\n",
    "df['num_missing'].value_counts().reset_index().sort_values(by='index').plot.bar(x='index', y='num_missing')\n",
    "\n",
    "    \n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 193,
   "id": "0990269f",
   "metadata": {},
   "outputs": [],
   "source": [
    "# отбрасываем строки с большим количеством пропусков\n",
    "ind_missing = df[df['num_missing'] > 1].index\n",
    "df = df.drop(ind_missing, axis=0)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 194,
   "id": "4508db22",
   "metadata": {
    "scrolled": false
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<AxesSubplot: xlabel='index'>"
      ]
     },
     "execution_count": 194,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 1000x800 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "# результат очистки\n",
    "ismissing_cols = [col for col in df.columns if 'ismissing' in col]\n",
    "df['num_missing'] = df[ismissing_cols].sum(axis=1)\n",
    "\n",
    "df['num_missing'].value_counts().reset_index().sort_values(by='index').plot.bar(x='index', y='num_missing')\n"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "0ac1a2d4",
   "metadata": {},
   "source": [
    "# Класстеризация"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 195,
   "id": "4e10d3b1",
   "metadata": {},
   "outputs": [],
   "source": [
    "from scipy.cluster.vq import kmeans, vq\n",
    "from numpy import random\n",
    "\n",
    "from sklearn.feature_extraction.text import TfidfVectorizer\n",
    "from sklearn.feature_extraction import _stop_words\n",
    "from spacy.lang.en.stop_words import STOP_WORDS"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 196,
   "id": "b3551eab",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "'!\"#$%&\\'()*+,-./:;<=>?@[\\\\]^_`{|}~'"
      ]
     },
     "execution_count": 196,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "string.punctuation"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 197,
   "id": "b1a9ca10",
   "metadata": {},
   "outputs": [],
   "source": [
    "stop_words_0 = set(stopwords.words('english')) \n",
    "stop_words = ['and', 'in', 'of', 'or', 'with','to','on','a']\n",
    "\n",
    "def remove_noise(text):\n",
    "    tokens = word_tokenize(text)\n",
    "    clean_tokens = []\n",
    "    lemmatizer=WordNetLemmatizer()\n",
    "    for token in tokens:\n",
    "        token = re.sub('[!\"#$%&\\'()*+,-./:;<=>?@[\\\\]^_`{|}~]+', '', token)\n",
    "        token = lemmatizer.lemmatize(token.lower())\n",
    "        if len(token) > 1 and token not in stop_words_0 and token not in stop_words:\n",
    "            clean_tokens.append(token)\n",
    "            \n",
    "    return clean_tokens"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 198,
   "id": "e421eb01",
   "metadata": {
    "scrolled": false
   },
   "outputs": [],
   "source": [
    "# Initialize TfidfVectorizer\n",
    "tfidf_vectorizer = TfidfVectorizer(max_features=100,tokenizer=remove_noise)\n",
    "\n",
    "# Use the .fit_transform() method on the list plots\n",
    "tfidf_matrix = tfidf_vectorizer.fit_transform(df['Minimum Qualifications'])"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 199,
   "id": "83d53f87",
   "metadata": {
    "scrolled": true
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "['relevant', 'experience', 'work', 'year', 'equivalent']\n",
      "['speak', 'fluently', 'idiomatically', 'write', 'english']\n",
      "['corporate', 'experience', 'year', 'babs', 'equivalent']\n",
      "['2018', 'june', 'program', 'december', 'united']\n",
      "['experience', 'industry', 'technology', 'engineering', 'field']\n",
      "['experience', 'babs', 'equivalent', 'practical', 'degree']\n",
      "['design', 'interaction', 'experience', 'field', 'science']\n",
      "['data', 'experience', 'statistic', 'analysis', 'sql']\n",
      "['student', 'internship', '2018', 'fulltime', 'program']\n",
      "['marketing', 'experience', 'year', 'equivalent', 'medium']\n"
     ]
    }
   ],
   "source": [
    "cluster_centers, distortion = kmeans(tfidf_matrix.todense(),13)\n",
    "\n",
    "# Сгенерируем термины из объекта tfidf_vectorizer\n",
    "terms = tfidf_vectorizer.get_feature_names_out()\n",
    "\n",
    "for i in range(10):\n",
    "    # Отсортируем термины\n",
    "    center_terms = dict(zip(terms, list(cluster_centers[i])))\n",
    "    sorted_terms = sorted(center_terms, key=center_terms.get, reverse=True)\n",
    "    print(sorted_terms[:5])"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "f223d5d5",
   "metadata": {},
   "source": [
    "Видем, что для разных областей - разные кластеры с ключевыми словами"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "12bb5568",
   "metadata": {},
   "outputs": [],
   "source": []
  }
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