diff --git "a/\320\267\320\260\320\264\320\260\320\275\320\270\321\217 + \320\264\320\267.ipynb" "b/\320\267\320\260\320\264\320\260\320\275\320\270\321\217 + \320\264\320\267.ipynb"
new file mode 100644
index 0000000..4e77162
--- /dev/null
+++ "b/\320\267\320\260\320\264\320\260\320\275\320\270\321\217 + \320\264\320\267.ipynb"	
@@ -0,0 +1,1153 @@
+{
+ "cells": [
+  {
+   "cell_type": "markdown",
+   "id": "e0921fb8",
+   "metadata": {},
+   "source": [
+    "# Задания"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 2,
+   "id": "3bb2be8f",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "import sqlite3\n",
+    "import pandas as pd\n",
+    "import matplotlib.pyplot as plt\n",
+    "import numpy as np"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "3feeb615",
+   "metadata": {},
+   "source": [
+    "## Задание 1: Создайте и заполните таблицу запросами, создайте техническое поле ID c параметрами INTEGER PRIMARY KEY AUTOINCREMENT."
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 3,
+   "id": "fb765ce4",
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "<sqlite3.Cursor at 0x256b72f3570>"
+      ]
+     },
+     "execution_count": 3,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "con = sqlite3.connect('works.sqlite')\n",
+    "cursor = con.cursor()\n",
+    "cursor.execute('drop table if exists works')\n",
+    "cursor.execute('create table if not exists works (ID INTEGER PRIMARY KEY AUTOINCREMENT, salary INTEGER, educationType TEXT,'\n",
+    "              'jobTitle TEXT, qualification TEXT, gender TEXT, dateModify TEXT,skills TEXT,otherInfo TEXT)')"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 4,
+   "id": "8bb0331b",
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "[(0, 'ID', 'INTEGER', 0, None, 1),\n",
+       " (1, 'salary', 'INTEGER', 0, None, 0),\n",
+       " (2, 'educationType', 'TEXT', 0, None, 0),\n",
+       " (3, 'jobTitle', 'TEXT', 0, None, 0),\n",
+       " (4, 'qualification', 'TEXT', 0, None, 0),\n",
+       " (5, 'gender', 'TEXT', 0, None, 0),\n",
+       " (6, 'dateModify', 'TEXT', 0, None, 0),\n",
+       " (7, 'skills', 'TEXT', 0, None, 0),\n",
+       " (8, 'otherInfo', 'TEXT', 0, None, 0)]"
+      ]
+     },
+     "execution_count": 4,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "cursor.execute('pragma table_info(works)').fetchall()"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 5,
+   "id": "e8c5f80d",
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "[(1,\n",
+       "  60000,\n",
+       "  'Высшее',\n",
+       "  'Специалист пресс-службы',\n",
+       "  'Магистр',\n",
+       "  'Мужской',\n",
+       "  '2021-04-01',\n",
+       "  '<p>Аналитическое&nbsp;мышление,&nbsp;<span class=\"s6\"><span class=\"bumpedFont15\">ответственность, </span></span><span class=\"s6\"><span class=\"bumpedFont15\">стабильность психологического состояния и настроения.&nbsp;</span></span></p>',\n",
+       "  None),\n",
+       " (2,\n",
+       "  85000,\n",
+       "  'Высшее',\n",
+       "  'менеджер проектов',\n",
+       "  None,\n",
+       "  'Мужской',\n",
+       "  '2021-04-01',\n",
+       "  None,\n",
+       "  None),\n",
+       " (3,\n",
+       "  15000,\n",
+       "  'Среднее профессиональное',\n",
+       "  '....',\n",
+       "  None,\n",
+       "  'Женский',\n",
+       "  '2021-06-01',\n",
+       "  None,\n",
+       "  None),\n",
+       " (4, 30000, None, None, None, 'Женский', '2021-04-03', None, None),\n",
+       " (5, 45000, None, None, None, 'Мужской', '2021-06-28', None, None)]"
+      ]
+     },
+     "execution_count": 5,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "df = pd.read_csv(\"works.csv\")\n",
+    "df.to_sql(\"works\", con, if_exists='append', index=False)\n",
+    "cursor.execute('select * from works limit 5').fetchall()"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "b774be85",
+   "metadata": {},
+   "source": [
+    "## Задание 2: Добавьте индекс на поле salary. Изменится ли после этого размер файла? На сколько?"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 6,
+   "id": "d70066f5",
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "<sqlite3.Cursor at 0x256b72f3570>"
+      ]
+     },
+     "execution_count": 6,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "# до 6,19\n",
+    "cursor.execute('create index salary_index on works(salary)')\n",
+    "# после 6,52\n",
+    "# увеличилось на 0,33мб"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "bb609291",
+   "metadata": {},
+   "source": [
+    "## Задание 3: Выведите количество записей."
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 7,
+   "id": "b1816a3c",
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "32683"
+      ]
+     },
+     "execution_count": 7,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "cursor.execute('select count(*) from works').fetchall()[0][0]"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "ebe92a0b",
+   "metadata": {},
+   "source": [
+    "## Задание 4: Выведите количество мужчин и женщин."
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 8,
+   "id": "6d23aae0",
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "17910"
+      ]
+     },
+     "execution_count": 8,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "cursor.execute('select count(*) from works where gender=\"Женский\"').fetchall()[0][0]"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 9,
+   "id": "4645926d",
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "13386"
+      ]
+     },
+     "execution_count": 9,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "cursor.execute('select count(*) from works where gender=\"Мужской\"').fetchall()[0][0]"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "ddd3f51b",
+   "metadata": {},
+   "source": [
+    "## Задание 5: У скольки записей заполены skills?"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 10,
+   "id": "caa4598a",
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "8972"
+      ]
+     },
+     "execution_count": 10,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "cursor.execute('select count(*) from works where skills not null').fetchall()[0][0]"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "9479e786",
+   "metadata": {},
+   "source": [
+    "## Задание 6: Получить заполненные скиллы."
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 11,
+   "id": "cee1f4c9",
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "[('<p>Аналитическое&nbsp;мышление,&nbsp;<span class=\"s6\"><span class=\"bumpedFont15\">ответственность, </span></span><span class=\"s6\"><span class=\"bumpedFont15\">стабильность психологического состояния и настроения.&nbsp;</span></span></p>',),\n",
+       " ('Ответственная,пунктуальная,дисциплинированная я,стрессоустойчивая,легкообучаема ,технически оснащена',),\n",
+       " ('<p>Коммуникабельность&nbsp;</p>',)]"
+      ]
+     },
+     "execution_count": 11,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "cursor.execute('select skills from works where skills not null limit 3').fetchall()"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "1d6699fd",
+   "metadata": {},
+   "source": [
+    "## Задание 7: Вывести зарплату только у тех, у кого в скилах есть Python."
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 12,
+   "id": "afb58688",
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "[(35000,),\n",
+       " (20000,),\n",
+       " (35000,),\n",
+       " (15000,),\n",
+       " (25000,),\n",
+       " (90000,),\n",
+       " (30000,),\n",
+       " (50000,),\n",
+       " (23000,),\n",
+       " (23000,)]"
+      ]
+     },
+     "execution_count": 12,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "cursor.execute('select salary from works where skills like \"%Python%\"').fetchall()"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "37910ec9",
+   "metadata": {},
+   "source": [
+    "## Задание 8: Построить перцентили и разброс по з/п у мужчин и женщин."
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 13,
+   "id": "df9828de",
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "array([  15000.,   20000.,   25000.,   30000.,   30000.,   35000.,\n",
+       "         40000.,   50000.,   60000., 1000000.])"
+      ]
+     },
+     "execution_count": 13,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "men = cursor.execute('SELECT salary FROM works where gender = \"Мужской\"').fetchall()\n",
+    "salaryMen = []\n",
+    "for i in men:\n",
+    "    salaryMen.append(i[0])\n",
+    "np.quantile(salaryMen, np.linspace(.1, 1, 10))"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 14,
+   "id": "d713670c",
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "image/png": 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\n",
+      "text/plain": [
+       "<Figure size 720x360 with 1 Axes>"
+      ]
+     },
+     "metadata": {
+      "needs_background": "light"
+     },
+     "output_type": "display_data"
+    }
+   ],
+   "source": [
+    "plt.figure(figsize=(10, 5))\n",
+    "plt.title('Перцентили по заработной плате у мужчин')\n",
+    "plt.xlabel('Перцентили')\n",
+    "plt.ylabel('Зарплата')\n",
+    "plt.grid()\n",
+    "plt.plot(np.quantile(salaryMen, np.linspace(.1, 1, 10)))\n",
+    "plt.show()"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 15,
+   "id": "dbc713bd",
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "array([ 15000.,  18000.,  20000.,  22000.,  25000.,  30000.,  30000.,\n",
+       "        35000.,  47000., 900000.])"
+      ]
+     },
+     "execution_count": 15,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "wom = cursor.execute('SELECT salary FROM works where gender = \"Женский\"').fetchall()\n",
+    "salaryWom = []\n",
+    "for i in wom:\n",
+    "    salaryWom.append(i[0])\n",
+    "np.quantile(salaryWom, np.linspace(.1, 1, 10))"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 16,
+   "id": "49da1829",
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "image/png": 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\n",
+      "text/plain": [
+       "<Figure size 720x360 with 1 Axes>"
+      ]
+     },
+     "metadata": {
+      "needs_background": "light"
+     },
+     "output_type": "display_data"
+    }
+   ],
+   "source": [
+    "plt.figure(figsize=(10, 5))\n",
+    "plt.title('Перцентили по заработной плате у женщин')\n",
+    "plt.xlabel('Перцентили')\n",
+    "plt.ylabel('Зарплата')\n",
+    "plt.grid()\n",
+    "plt.plot(np.quantile(salaryWom, np.linspace(.1, 1, 10)))\n",
+    "plt.show()"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "a6b9bd4d",
+   "metadata": {},
+   "source": [
+    "## Задание 9: Построить графики распределения по з/п мужчин и женщин в зависимости от высшего образования."
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "007079f1",
+   "metadata": {},
+   "source": [
+    "### распределения по з/п мужчин"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 17,
+   "id": "4ab836fb",
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "image/png": 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\n",
+      "text/plain": [
+       "<Figure size 720x360 with 1 Axes>"
+      ]
+     },
+     "metadata": {
+      "needs_background": "light"
+     },
+     "output_type": "display_data"
+    }
+   ],
+   "source": [
+    "men = np.asarray(cursor.execute(\"select salary from works where gender='Мужской' and educationType='Высшее'\").fetchall())\n",
+    "plt.figure(figsize=(10, 5)) \n",
+    "plt.title('Распределение по з/п мужчин с высшим образованием') \n",
+    "plt.xlabel('Зарплата') \n",
+    "plt.ylabel('Количество') \n",
+    "plt.grid() \n",
+    "\n",
+    "plt.hist(men, \n",
+    "         bins=100) \n",
+    "plt.show()"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 18,
+   "id": "64914549",
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "image/png": 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\n",
+      "text/plain": [
+       "<Figure size 720x360 with 1 Axes>"
+      ]
+     },
+     "metadata": {
+      "needs_background": "light"
+     },
+     "output_type": "display_data"
+    }
+   ],
+   "source": [
+    "men = np.asarray(cursor.execute(\"select salary from works where gender='Мужской' and educationType='Незаконченное высшее'\").fetchall())\n",
+    "plt.figure(figsize=(10, 5)) \n",
+    "plt.title('Распределение по з/п мужчин с незаконченным высшем') \n",
+    "plt.xlabel('Зарплата') \n",
+    "plt.ylabel('Количество') \n",
+    "plt.grid() \n",
+    "\n",
+    "plt.hist(men, \n",
+    "         bins=100) \n",
+    "plt.show()"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 19,
+   "id": "c2e753ce",
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "image/png": 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\n",
+      "text/plain": [
+       "<Figure size 720x360 with 1 Axes>"
+      ]
+     },
+     "metadata": {
+      "needs_background": "light"
+     },
+     "output_type": "display_data"
+    }
+   ],
+   "source": [
+    "men = np.asarray(cursor.execute(\"select salary from works where gender='Мужской' and educationType='Среднее'\").fetchall())\n",
+    "plt.figure(figsize=(10, 5)) \n",
+    "plt.title('Распределение по з/п мужчин с средним образованием') \n",
+    "plt.xlabel('Зарплата') \n",
+    "plt.ylabel('Количество') \n",
+    "plt.grid() \n",
+    "\n",
+    "plt.hist(men, \n",
+    "         bins=100) \n",
+    "plt.show()"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 20,
+   "id": "06d792c8",
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "image/png": 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\n",
+      "text/plain": [
+       "<Figure size 720x360 with 1 Axes>"
+      ]
+     },
+     "metadata": {
+      "needs_background": "light"
+     },
+     "output_type": "display_data"
+    }
+   ],
+   "source": [
+    "men = np.asarray(cursor.execute(\"select salary from works where gender='Мужской' and educationType='Среднее профессиональное'\").fetchall())\n",
+    "plt.figure(figsize=(10, 5)) \n",
+    "plt.title('Распределение по з/п мужчин с средним профессиональные образованием') \n",
+    "plt.xlabel('Зарплата') \n",
+    "plt.ylabel('Количество') \n",
+    "plt.grid() \n",
+    "\n",
+    "plt.hist(men, \n",
+    "         bins=100) \n",
+    "plt.show()"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "0f5fce4d",
+   "metadata": {},
+   "source": [
+    "### распределения по з/п женщин"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 21,
+   "id": "a80023eb",
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "image/png": 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\n",
+      "text/plain": [
+       "<Figure size 720x360 with 1 Axes>"
+      ]
+     },
+     "metadata": {
+      "needs_background": "light"
+     },
+     "output_type": "display_data"
+    }
+   ],
+   "source": [
+    "wom = np.asarray(cursor.execute(\"select salary from works where gender='Женский' and educationType='Высшее'\").fetchall())\n",
+    "plt.figure(figsize=(10, 5)) \n",
+    "plt.title('Распределение по з/п женщин с высшим образованием') \n",
+    "plt.xlabel('Зарплата') \n",
+    "plt.ylabel('Количество') \n",
+    "plt.grid() \n",
+    "\n",
+    "plt.hist(wom, \n",
+    "         bins=100) \n",
+    "plt.show()"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 22,
+   "id": "fc4ccc71",
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "image/png": 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\n",
+      "text/plain": [
+       "<Figure size 720x360 with 1 Axes>"
+      ]
+     },
+     "metadata": {
+      "needs_background": "light"
+     },
+     "output_type": "display_data"
+    }
+   ],
+   "source": [
+    "wom = np.asarray(cursor.execute(\"select salary from works where gender='Женский' and educationType='Незаконченное высшее'\").fetchall())\n",
+    "plt.figure(figsize=(10, 5)) \n",
+    "plt.title('Распределение по з/п женщин с незаконченным высшем') \n",
+    "plt.xlabel('Зарплата') \n",
+    "plt.ylabel('Количество') \n",
+    "plt.grid() \n",
+    "\n",
+    "plt.hist(wom, \n",
+    "         bins=100) \n",
+    "plt.show()"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 23,
+   "id": "82133c66",
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "image/png": 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\n",
+      "text/plain": [
+       "<Figure size 720x360 with 1 Axes>"
+      ]
+     },
+     "metadata": {
+      "needs_background": "light"
+     },
+     "output_type": "display_data"
+    }
+   ],
+   "source": [
+    "wom = np.asarray(cursor.execute(\"select salary from works where gender='Женский' and educationType='Среднее'\").fetchall())\n",
+    "plt.figure(figsize=(10, 5)) \n",
+    "plt.title('Распределение по з/п женщин с средним образованием') \n",
+    "plt.xlabel('Зарплата') \n",
+    "plt.ylabel('Количество') \n",
+    "plt.grid() \n",
+    "\n",
+    "plt.hist(wom, \n",
+    "         bins=100) \n",
+    "plt.show()"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 24,
+   "id": "1e02e333",
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "image/png": 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\n",
+      "text/plain": [
+       "<Figure size 720x360 with 1 Axes>"
+      ]
+     },
+     "metadata": {
+      "needs_background": "light"
+     },
+     "output_type": "display_data"
+    }
+   ],
+   "source": [
+    "wom = np.asarray(cursor.execute(\"select salary from works where gender='Женский' and educationType='Среднее профессиональное'\").fetchall())\n",
+    "plt.figure(figsize=(10, 5)) \n",
+    "plt.title('Распределение по з/п женщин с средним профессиональные образованием') \n",
+    "plt.xlabel('Зарплата') \n",
+    "plt.ylabel('Количество') \n",
+    "plt.grid() \n",
+    "\n",
+    "plt.hist(wom, \n",
+    "         bins=100) \n",
+    "plt.show()"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "e82631f5",
+   "metadata": {},
+   "source": [
+    "# ДЗ"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "5942cc25",
+   "metadata": {},
+   "source": [
+    "## Пробуем нормализовать базу данных и немного почистить поля.\n",
+    "Выделим отдельные сущности:"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "9cadd462",
+   "metadata": {},
+   "source": [
+    "### Создайте отдельную таблицу с гендером, заполните ее значениями, сделайте на нее внешний ключ из таблицы works."
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 25,
+   "id": "6a972735",
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "[(0, 'ID', 'INTEGER', 0, None, 1), (1, 'gender', 'TEXT', 0, None, 0)]"
+      ]
+     },
+     "execution_count": 25,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "# создание таблицы\n",
+    "cursor.execute(\"create table if not exists genders (ID INTEGER PRIMARY KEY AUTOINCREMENT, gender TEXT)\")\n",
+    "cursor.execute('pragma table_info(genders)').fetchall()"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 26,
+   "id": "bf3e0ee5",
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "<sqlite3.Cursor at 0x256b72f3570>"
+      ]
+     },
+     "execution_count": 26,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "# добавление внешнего ключа\n",
+    "cursor.execute('insert into genders(gender) select distinct gender from works where gender is not null')\n",
+    "cursor.execute('alter table works add column id_gend INTEGER REFERENCES genders(ID)')"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 27,
+   "id": "c67ff2d6",
+   "metadata": {
+    "scrolled": true
+   },
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "<sqlite3.Cursor at 0x256b72f3570>"
+      ]
+     },
+     "execution_count": 27,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "# изменение в works гендера на код\n",
+    "cursor.execute('UPDATE works SET id_gend = (SELECT ID FROM genders WHERE gender = works.gender)')"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 28,
+   "id": "e32e7630",
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "<sqlite3.Cursor at 0x256b72f3570>"
+      ]
+     },
+     "execution_count": 28,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "# удаление столбца гендера\n",
+    "cursor.execute('ALTER TABLE works DROP COLUMN gender')"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 29,
+   "id": "642738ef",
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "[(0, 'ID', 'INTEGER', 0, None, 1),\n",
+       " (1, 'salary', 'INTEGER', 0, None, 0),\n",
+       " (2, 'educationType', 'TEXT', 0, None, 0),\n",
+       " (3, 'jobTitle', 'TEXT', 0, None, 0),\n",
+       " (4, 'qualification', 'TEXT', 0, None, 0),\n",
+       " (5, 'dateModify', 'TEXT', 0, None, 0),\n",
+       " (6, 'skills', 'TEXT', 0, None, 0),\n",
+       " (7, 'otherInfo', 'TEXT', 0, None, 0),\n",
+       " (8, 'id_gend', 'INTEGER', 0, None, 0)]"
+      ]
+     },
+     "execution_count": 29,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "cursor.execute(\"pragma table_info(works)\").fetchall()"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 30,
+   "id": "e7151e4d",
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "[(1, 'Мужской'), (2, 'Женский')]"
+      ]
+     },
+     "execution_count": 30,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "cursor.execute(\"SELECT * FROM genders\").fetchall()"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 31,
+   "id": "911af64e",
+   "metadata": {
+    "scrolled": false
+   },
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "[(1,), (1,), (2,), (2,), (1,)]"
+      ]
+     },
+     "execution_count": 31,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "cursor.execute('SELECT id_gend FROM works limit 5').fetchall()"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "723acd1e",
+   "metadata": {},
+   "source": [
+    "### Отдельная таблица для образования."
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 32,
+   "id": "67c8b8fc",
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "<sqlite3.Cursor at 0x256b72f3570>"
+      ]
+     },
+     "execution_count": 32,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "cursor.execute(\"create table if not exists education (ID INTEGER PRIMARY KEY AUTOINCREMENT, educationType TEXT)\")\n",
+    "cursor.execute('insert into education(educationType) select distinct educationType from works where educationType is not null')\n",
+    "cursor.execute('alter table works add column id_educ INTEGER REFERENCES education(ID)')\n",
+    "cursor.execute('UPDATE works SET id_educ = (SELECT ID FROM education WHERE educationType = works.educationType)')\n",
+    "cursor.execute('ALTER TABLE works DROP COLUMN educationType')"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 33,
+   "id": "c927f965",
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "[(0, 'ID', 'INTEGER', 0, None, 1),\n",
+       " (1, 'salary', 'INTEGER', 0, None, 0),\n",
+       " (2, 'jobTitle', 'TEXT', 0, None, 0),\n",
+       " (3, 'qualification', 'TEXT', 0, None, 0),\n",
+       " (4, 'dateModify', 'TEXT', 0, None, 0),\n",
+       " (5, 'skills', 'TEXT', 0, None, 0),\n",
+       " (6, 'otherInfo', 'TEXT', 0, None, 0),\n",
+       " (7, 'id_gend', 'INTEGER', 0, None, 0),\n",
+       " (8, 'id_educ', 'INTEGER', 0, None, 0)]"
+      ]
+     },
+     "execution_count": 33,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "cursor.execute(\"pragma table_info(works)\").fetchall()"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 34,
+   "id": "f6cf6921",
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "[(1, 'Высшее'),\n",
+       " (2, 'Среднее профессиональное'),\n",
+       " (3, 'Среднее'),\n",
+       " (4, 'Незаконченное высшее')]"
+      ]
+     },
+     "execution_count": 34,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "cursor.execute(\"SELECT * FROM education\").fetchall()"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 35,
+   "id": "4af47dac",
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "[(1,), (1,), (2,), (None,), (None,)]"
+      ]
+     },
+     "execution_count": 35,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "cursor.execute('SELECT id_educ FROM works limit 5').fetchall()"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "6b86e5a7",
+   "metadata": {},
+   "source": [
+    "## Скилы и otherInfo\n",
+    "Эти поля крайне засорены HTML-разметкой. \n",
+    "\n",
+    "### Очистите эти поля от HTML."
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 36,
+   "id": "184ad3f3",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "import re"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 37,
+   "id": "999c07e6",
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "<sqlite3.Cursor at 0x256b72f3570>"
+      ]
+     },
+     "execution_count": 37,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "works_new = cursor.execute(\"SELECT ID, skills, otherInfo FROM works\").fetchall()\n",
+    "clear = []\n",
+    "for id, skills, other_info in works_new:\n",
+    "    if skills is not None:\n",
+    "        #замена лишних символов на пробел(иначе могут сливаться слова)\n",
+    "        skills = re.sub(r'<.*?>|&([a-z0-9]+|#[0-9]{1,6}|#x[0-9a-f]{1,6});', ' ', skills) \n",
+    "        #замена подряд идущих пробелов на один\n",
+    "        skills = re.sub(r'[  ]+', ' ', skills) \n",
+    "        # удаление пробела начале и в конце\n",
+    "        skills = skills.strip()\n",
+    "    if other_info is not None:   \n",
+    "        other_info = re.sub(r'<.*?>|&([a-z0-9]+|#[0-9]{1,6}|#x[0-9a-f]{1,6});', ' ', other_info)\n",
+    "        other_info = re.sub(r'[  ]+', ' ', other_info)\n",
+    "        other_info = other_info.strip()\n",
+    "    clear.append((skills, other_info, id))\n",
+    "cursor.executemany(\"UPDATE works SET skills = ?, otherInfo = ? WHERE ID = ?\", clear)"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 38,
+   "id": "af212c94",
+   "metadata": {
+    "scrolled": true
+   },
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "[(1,\n",
+       "  60000,\n",
+       "  'Специалист пресс-службы',\n",
+       "  'Магистр',\n",
+       "  '2021-04-01',\n",
+       "  'Аналитическое мышление, ответственность, стабильность психологического состояния и настроения.',\n",
+       "  None,\n",
+       "  1,\n",
+       "  1),\n",
+       " (2, 85000, 'менеджер проектов', None, '2021-04-01', None, None, 1, 1),\n",
+       " (3, 15000, '....', None, '2021-06-01', None, None, 2, 2)]"
+      ]
+     },
+     "execution_count": 38,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "cursor.execute(\"SELECT * FROM works limit 3\").fetchall()"
+   ]
+  }
+ ],
+ "metadata": {
+  "kernelspec": {
+   "display_name": "Python 3 (ipykernel)",
+   "language": "python",
+   "name": "python3"
+  },
+  "language_info": {
+   "codemirror_mode": {
+    "name": "ipython",
+    "version": 3
+   },
+   "file_extension": ".py",
+   "mimetype": "text/x-python",
+   "name": "python",
+   "nbconvert_exporter": "python",
+   "pygments_lexer": "ipython3",
+   "version": "3.8.8"
+  }
+ },
+ "nbformat": 4,
+ "nbformat_minor": 5
+}