diff --git a/sql (1).ipynb b/sql (1).ipynb
new file mode 100644
index 0000000..c3c4248
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+++ b/sql (1).ipynb	
@@ -0,0 +1,1594 @@
+{
+ "cells": [
+  {
+   "cell_type": "code",
+   "execution_count": 113,
+   "id": "711c5667",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "import sqlite3\n",
+    "import pandas as pd\n",
+    "import numpy as np\n",
+    "import matplotlib.pyplot as plt\n",
+    "import re"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "999d3065",
+   "metadata": {},
+   "source": [
+    "## 1. Создайте и заполните таблицу запросами, создайте техническое поле ID c параметрами INTEGER PRIMARY KEY AUTOINCREMENT."
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 3,
+   "id": "2d8d8bea",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "con = sqlite3.connect('works.sqlite')\n",
+    "cursor = con.cursor()"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 4,
+   "id": "1bea13df",
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "<sqlite3.Cursor at 0x1b8f5b57c70>"
+      ]
+     },
+     "execution_count": 4,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "cursor.execute(\"CREATE TABLE IF NOT EXISTS works (ID INTEGER PRIMARY KEY AUTOINCREMENT,salary INTEGER,educationType TEXT,jobTitle TEXT,qualification TEXT,gender TEXT,dateModify TEXT,skills TEXT,otherInfo TEXT)\")"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 5,
+   "id": "95cf2e4a",
+   "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": 5,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "cursor.execute(\"pragma table_info(works)\").fetchall()"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 109,
+   "id": "c809c6b9",
+   "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>salary</th>\n",
+       "      <th>educationType</th>\n",
+       "      <th>jobTitle</th>\n",
+       "      <th>qualification</th>\n",
+       "      <th>gender</th>\n",
+       "      <th>dateModify</th>\n",
+       "      <th>skills</th>\n",
+       "      <th>otherInfo</th>\n",
+       "    </tr>\n",
+       "  </thead>\n",
+       "  <tbody>\n",
+       "    <tr>\n",
+       "      <th>0</th>\n",
+       "      <td>60000</td>\n",
+       "      <td>Высшее</td>\n",
+       "      <td>Специалист пресс-службы</td>\n",
+       "      <td>Магистр</td>\n",
+       "      <td>Мужской</td>\n",
+       "      <td>2021-04-01</td>\n",
+       "      <td>&lt;p&gt;Аналитическое&amp;nbsp;мышление,&amp;nbsp;&lt;span cla...</td>\n",
+       "      <td>NaN</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>1</th>\n",
+       "      <td>85000</td>\n",
+       "      <td>Высшее</td>\n",
+       "      <td>менеджер проектов</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>Мужской</td>\n",
+       "      <td>2021-04-01</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>NaN</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>2</th>\n",
+       "      <td>15000</td>\n",
+       "      <td>Среднее профессиональное</td>\n",
+       "      <td>....</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>Женский</td>\n",
+       "      <td>2021-06-01</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>NaN</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>3</th>\n",
+       "      <td>30000</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>Женский</td>\n",
+       "      <td>2021-04-03</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>NaN</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>4</th>\n",
+       "      <td>45000</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>Мужской</td>\n",
+       "      <td>2021-06-28</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>NaN</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>...</th>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>32678</th>\n",
+       "      <td>15000</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>Женский</td>\n",
+       "      <td>2021-06-23</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>NaN</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>32679</th>\n",
+       "      <td>13000</td>\n",
+       "      <td>Среднее</td>\n",
+       "      <td>уборщица</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>Женский</td>\n",
+       "      <td>2021-07-29</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>NaN</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>32680</th>\n",
+       "      <td>16000</td>\n",
+       "      <td>Среднее профессиональное</td>\n",
+       "      <td>кочегар машинист котельной</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>Мужской</td>\n",
+       "      <td>2021-11-11</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>NaN</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>32681</th>\n",
+       "      <td>35000</td>\n",
+       "      <td>Высшее</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>Мужской</td>\n",
+       "      <td>2020-04-21</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>NaN</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>32682</th>\n",
+       "      <td>30000</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>Мужской</td>\n",
+       "      <td>2021-06-20</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>NaN</td>\n",
+       "    </tr>\n",
+       "  </tbody>\n",
+       "</table>\n",
+       "<p>32683 rows × 8 columns</p>\n",
+       "</div>"
+      ],
+      "text/plain": [
+       "       salary             educationType                    jobTitle  \\\n",
+       "0       60000                    Высшее     Специалист пресс-службы   \n",
+       "1       85000                    Высшее           менеджер проектов   \n",
+       "2       15000  Среднее профессиональное                        ....   \n",
+       "3       30000                       NaN                         NaN   \n",
+       "4       45000                       NaN                         NaN   \n",
+       "...       ...                       ...                         ...   \n",
+       "32678   15000                       NaN                         NaN   \n",
+       "32679   13000                   Среднее                    уборщица   \n",
+       "32680   16000  Среднее профессиональное  кочегар машинист котельной   \n",
+       "32681   35000                    Высшее                         NaN   \n",
+       "32682   30000                       NaN                         NaN   \n",
+       "\n",
+       "      qualification   gender  dateModify  \\\n",
+       "0           Магистр  Мужской  2021-04-01   \n",
+       "1               NaN  Мужской  2021-04-01   \n",
+       "2               NaN  Женский  2021-06-01   \n",
+       "3               NaN  Женский  2021-04-03   \n",
+       "4               NaN  Мужской  2021-06-28   \n",
+       "...             ...      ...         ...   \n",
+       "32678           NaN  Женский  2021-06-23   \n",
+       "32679           NaN  Женский  2021-07-29   \n",
+       "32680           NaN  Мужской  2021-11-11   \n",
+       "32681           NaN  Мужской  2020-04-21   \n",
+       "32682           NaN  Мужской  2021-06-20   \n",
+       "\n",
+       "                                                  skills otherInfo  \n",
+       "0      <p>Аналитическое&nbsp;мышление,&nbsp;<span cla...       NaN  \n",
+       "1                                                    NaN       NaN  \n",
+       "2                                                    NaN       NaN  \n",
+       "3                                                    NaN       NaN  \n",
+       "4                                                    NaN       NaN  \n",
+       "...                                                  ...       ...  \n",
+       "32678                                                NaN       NaN  \n",
+       "32679                                                NaN       NaN  \n",
+       "32680                                                NaN       NaN  \n",
+       "32681                                                NaN       NaN  \n",
+       "32682                                                NaN       NaN  \n",
+       "\n",
+       "[32683 rows x 8 columns]"
+      ]
+     },
+     "execution_count": 109,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "works = pd.read_csv(\"works.csv\")\n",
+    "works"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 7,
+   "id": "2aa23a65",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "works.to_sql(\"works\", con, if_exists='append', index=False)"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 10,
+   "id": "55107f32",
+   "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": 10,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "cursor.execute(\"SELECT * FROM works limit 5\").fetchall()"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "41f473bb",
+   "metadata": {},
+   "source": [
+    "## 2. Добавьте индекс на поле salary. Изменится ли после этого размер файла? На сколько?"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 8,
+   "id": "011abc1d",
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "<sqlite3.Cursor at 0x1b8f5b57c70>"
+      ]
+     },
+     "execution_count": 8,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "cursor.execute('CREATE INDEX salary_index ON works(salary)')"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 14,
+   "id": "f1fb9a1b",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "#Размер файла изменился с 6,3МБ до 6,6"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "4c0a160f",
+   "metadata": {},
+   "source": [
+    "## 3. Выведите количество записей."
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 9,
+   "id": "f4f06349",
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "[(32683,)]"
+      ]
+     },
+     "execution_count": 9,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "cursor.execute(\"SELECT COUNT(*) FROM works\").fetchall()"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "55f671c0",
+   "metadata": {},
+   "source": [
+    "## 4. Выведите количество мужчин и женщин."
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 10,
+   "id": "6ef0df5b",
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "(13386,)"
+      ]
+     },
+     "execution_count": 10,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "cursor.execute(\"SELECT COUNT(*) FROM works WHERE gender='Мужской'\").fetchone()"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 11,
+   "id": "6d0a8486",
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "(17910,)"
+      ]
+     },
+     "execution_count": 11,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "cursor.execute(\"SELECT COUNT(*) FROM works WHERE gender='Женский'\").fetchone()"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "41d82289",
+   "metadata": {},
+   "source": [
+    "## 5. У скольки записей заполены skills?"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 12,
+   "id": "b9145da7",
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "(8972,)"
+      ]
+     },
+     "execution_count": 12,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "cursor.execute(\"SELECT COUNT(*) FROM works WHERE skills IS NOT NULL\").fetchone()"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "6fcae75f",
+   "metadata": {},
+   "source": [
+    "## 6. Получить заполненные скиллы. "
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 161,
+   "id": "b6067158",
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "(1,\n",
+       " 60000,\n",
+       " 'Специалист пресс-службы',\n",
+       " 'Магистр',\n",
+       " '2021-04-01',\n",
+       " 'Аналитическоемышление,ответственность, стабильность психологического состояния и настроения.',\n",
+       " None,\n",
+       " 1,\n",
+       " 1)"
+      ]
+     },
+     "execution_count": 161,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "cursor.execute(\"SELECT * FROM works WHERE skills IS NOT NULL\").fetchone()"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "0f6399c7",
+   "metadata": {},
+   "source": [
+    "## 7. Вывести зарплату только у тех, у кого в скилах есть Python. "
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 14,
+   "id": "1d583985",
+   "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": 14,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "cursor.execute(\"SELECT salary FROM works WHERE skills LIKE '%python%'\").fetchall()"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "d49174e4",
+   "metadata": {},
+   "source": [
+    "## 8. Построить перцентили и разброс по з/п у мужчин и женщин."
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 23,
+   "id": "ae32c32c",
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "array([  15000.,   20000.,   25000.,   30000.,   30000.,   35000.,\n",
+       "         40000.,   50000.,   60000., 1000000.])"
+      ]
+     },
+     "execution_count": 23,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "cursor.execute('SELECT salary FROM works WHERE gender = \"Мужской\"')\n",
+    "men_list = [i[0] for i in cursor.fetchall()]\n",
+    "men_salary = np.quantile(men_list, np.linspace(.1, 1, 10))\n",
+    "men_salary"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 27,
+   "id": "2601001d",
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "image/png": 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\n",
+      "text/plain": [
+       "<Figure size 504x360 with 1 Axes>"
+      ]
+     },
+     "metadata": {
+      "needs_background": "light"
+     },
+     "output_type": "display_data"
+    }
+   ],
+   "source": [
+    "plt.figure(figsize=(7, 5)) \n",
+    "plt.title('Перцентили по заработной плате у мужчин') \n",
+    "plt.xlabel('Перцентили') \n",
+    "plt.ylabel('Зарплата мужчин') \n",
+    "plt.grid() \n",
+    "\n",
+    "plt.plot(men_salary)  \n",
+    "plt.show()"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 24,
+   "id": "1d413057",
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "array([ 15000.,  18000.,  20000.,  22000.,  25000.,  30000.,  30000.,\n",
+       "        35000.,  47000., 900000.])"
+      ]
+     },
+     "execution_count": 24,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "cursor.execute('SELECT salary FROM works WHERE gender = \"Женский\"')\n",
+    "women_list = [i[0] for i in cursor.fetchall()]\n",
+    "women_salary = np.quantile(women_list, np.linspace(.1, 1, 10))\n",
+    "women_salary"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 28,
+   "id": "922e40d6",
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "image/png": 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\n",
+      "text/plain": [
+       "<Figure size 504x360 with 1 Axes>"
+      ]
+     },
+     "metadata": {
+      "needs_background": "light"
+     },
+     "output_type": "display_data"
+    }
+   ],
+   "source": [
+    "plt.figure(figsize=(7, 5)) \n",
+    "plt.title('Перцентили по заработной плате у женщин') \n",
+    "plt.xlabel('Перцентили') \n",
+    "plt.ylabel('Зарплата женщин') \n",
+    "plt.grid() \n",
+    "\n",
+    "plt.plot(women_salary)  \n",
+    "plt.show()"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "3b2e12df",
+   "metadata": {},
+   "source": [
+    "## 9. Построить графики распределения по заработной плате мужчин и женщин в зависимости от высшего образования."
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 48,
+   "id": "b7f1cc31",
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "array([[ 60000],\n",
+       "       [ 85000],\n",
+       "       [100000],\n",
+       "       ...,\n",
+       "       [ 40000],\n",
+       "       [ 40000],\n",
+       "       [ 35000]])"
+      ]
+     },
+     "execution_count": 48,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "men_height = np.asarray(cursor.execute(\"SELECT salary FROM works WHERE gender='Мужской' and educationType='Высшее'\").fetchall())\n",
+    "men_height"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 49,
+   "id": "32e85288",
+   "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('Распределение по заработной плате у мужчин с высшим образованием') \n",
+    "plt.xlabel('Зарплата мужчин') \n",
+    "plt.ylabel('Количество мужчин') \n",
+    "plt.grid() \n",
+    "\n",
+    "plt.hist(men_height, \n",
+    "         bins=50) \n",
+    "plt.show()"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 50,
+   "id": "e2221fe3",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "men_not_height = np.asarray(cursor.execute(\"SELECT salary FROM works WHERE gender='Мужской' and educationType='Незаконченное высшее'\").fetchall())"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 51,
+   "id": "f6434751",
+   "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('Распределение по заработной плате у мужчин с незаконченным высшим образованием') \n",
+    "plt.xlabel('Зарплата мужчин') \n",
+    "plt.ylabel('Количество мужчин') \n",
+    "plt.grid() \n",
+    "\n",
+    "plt.hist(men_not_height, \n",
+    "         bins=50) \n",
+    "plt.show()"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 52,
+   "id": "4b594344",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "men_mean = np.asarray(cursor.execute(\"SELECT salary FROM works WHERE gender='Мужской' and educationType='Среднее'\").fetchall())"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 53,
+   "id": "09f7c812",
+   "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('Распределение по заработной плате у мужчин с незаконченным высшим образованием') \n",
+    "plt.xlabel('Зарплата мужчин') \n",
+    "plt.ylabel('Количество мужчин') \n",
+    "plt.grid() \n",
+    "\n",
+    "plt.hist(men_mean, \n",
+    "         bins=50) \n",
+    "plt.show()"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 56,
+   "id": "303644c0",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "men_mean_prof = np.asarray(cursor.execute(\"SELECT salary FROM works WHERE gender='Мужской' and educationType='Среднее профессиональное'\").fetchall())"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 57,
+   "id": "0b51bc37",
+   "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('Распределение по заработной плате у мужчин с незаконченным высшим образованием') \n",
+    "plt.xlabel('Зарплата мужчин') \n",
+    "plt.ylabel('Количество мужчин') \n",
+    "plt.grid() \n",
+    "\n",
+    "plt.hist(men_mean_prof, \n",
+    "         bins=50) \n",
+    "plt.show()"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 58,
+   "id": "232cd163",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "women_height = np.asarray(cursor.execute(\"SELECT salary FROM works WHERE gender='Женский' and educationType='Высшее'\").fetchall())"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 59,
+   "id": "226b9033",
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "image/png": 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u9XAmT2vHkB/SJQ4vH5n2oJF4D6X7gTfuGXStw9+ku3jkz0em/erI8m+iO89ravxF06xrne/Lqjqtql482zxtvhmPDz0+m9B9Hv+arivwgXSvH7rj5yfpWpG/Tff5Gj014oV0++EGusTzqdWdJ/hDutbeo+j29cuAx1d3zuSUd7S6WEW3P6fOBetzjJrNBh+Tqzv37ulVdf0ct73keB81/VJG7t02x+UOB5ZX1avHyvcAXldVh89TiJu8dCcefwvYYg7n/GgRJLkL3Zfbr1bVjYsdTx9JPlNVj1r3nFpISU4AVlfVKxc7Fi08W9Q0H35M19027ma6X3/SJqWda/Rium7lJZGkNRt8AYKk+TXX2xtIt1NV/zZD+ffovqykTUY7Sfwaum6oAxc5nDmpqvm46lbSPLLrU5IkaaDs+pQkSRooEzVJkqSB2mjPUdtll11q+fLlE93Gj3/8Y7bZZpuJbkNzZ70Mj3UyPNbJMFkvw7NQdXLuuef+oKpud9/AjTZRW758Oeecc7t7r86rlStXsmLFioluQ3NnvQyPdTI81skwWS/Ds1B1kmT8XxoAuz4lSZIGy0RNkiRpoEzUJEmSBspETZIkaaBM1CRJkgbKRE2SJGmgTNQkSZIGykRNkiRpoEzUJEmSBspETZIkaaBM1CRJkgZqo/2vz6Vo+dGn95531RsPmmAkkiRpCGxRkyRJGigTNUmSpIEyUZMkSRooEzVJkqSBMlGTJEkaKBM1SZKkgTJRkyRJGigTNUmSpIEyUZMkSRooEzVJkqSBMlGTJEkaKBM1SZKkgTJRkyRJGigTNUmSpIGaWKKWZM8kn0tycZKLkvxZK985yRlJLm3PO40sc0ySy5JckuSAkfIHJrmgTXtbkkwqbkmSpKGYZIvazcBRVfUbwP7A85PcGzga+GxV7Q18to3Tph0C3Ac4EDguyWZtXe8EjgT2bo8DJxi3JEnSIEwsUauqq6vqq234JuBiYHfgScCJbbYTgYPb8JOAk6vqZ1X1LeAyYL8kuwHbV9VZVVXA+0eWkSRJ2mily30mvJFkOfB54L7Ad6pqx5FpP6qqnZK8A/hSVX2glb8X+CSwCnhjVT2qlf8u8JdV9fhptnMkXcsby5Yte+DJJ588yZfFmjVr2HbbbedtfRd894be895v9x3mbbsbm/muF20462R4rJNhsl6GZ6Hq5BGPeMS5VbXvePnmk95wkm2BjwB/XlU3znJ62XQTapby2xdWHQ8cD7DvvvvWihUr5hzvXKxcuZL53MbhR5/ee95Vh87fdjc2810v2nDWyfBYJ8NkvQzPYtfJRK/6TLIFXZL2war6j1Z8TevOpD1f28pXA3uOLL4HcFUr32OackmSpI3aJK/6DPBe4OKqesvIpFOBw9rwYcDHRsoPSXLHJHvRXTRwdlVdDdyUZP+2zmeOLCNJkrTRmmTX50OAZwAXJDm/lb0ceCNwSpJnA98BngJQVRclOQX4Bt0Vo8+vqlvacs8DTgC2pjtv7ZMTjFuSJGkQJpaoVdUXmP78MoBHzrDMscCx05SfQ3chgiRJ0ibDfyaQJEkaKBM1SZKkgTJRkyRJGigTNUmSpIEyUZMkSRooEzVJkqSBMlGTJEkaKBM1SZKkgTJRkyRJGigTNUmSpIEyUZMkSRooEzVJkqSBMlGTJEkaKBM1SZKkgTJRkyRJGigTNUmSpIEyUZMkSRooEzVJkqSBMlGTJEkaKBM1SZKkgTJRkyRJGigTNUmSpIEyUZMkSRooEzVJkqSBMlGTJEkaKBM1SZKkgTJRkyRJGigTNUmSpIEyUZMkSRooEzVJkqSBMlGTJEkaKBM1SZKkgTJRkyRJGigTNUmSpIEyUZMkSRooEzVJkqSBMlGTJEkaKBM1SZKkgTJRkyRJGigTNUmSpIEyUZMkSRooEzVJkqSBMlGTJEkaKBM1SZKkgTJRkyRJGigTNUmSpIEyUZMkSRqozfvMlORzQI2XV9XvzXtEkiRJAnomasBLgAAfAA6dXDiSJEma0itRq6pzAZL8ZGpYkiRJkzXXc9Ru1/0pSZKkyeiVqCW5KcmNwG8muXFkfLZl3pfk2iQXjpS9Osl3k5zfHo8bmXZMksuSXJLkgJHyBya5oE17W5Ksx+uUJElacnolalW1XVVtX1Wbt+ftqmr7dSx2AnDgNOVvrap92uMTAEnuDRwC3Kctc1ySzdr87wSOBPZuj+nWKUmStNHpe9XnA6Yrr6qvzrRMVX0+yfKecTwJOLmqfgZ8K8llwH5JVgHbV9VZLY73AwcDn+y5XkmSpCWr71Wf5wCXAt+lu/oTuvPV1uf2HC9I8sy2zqOq6kfA7sCXRuZZ3cp+0YbHy6eV5Ei61jeWLVvGypUr1yO8/tasWTOv2zjqfjf3nnfSr20pm+960YazTobHOhkm62V4FrtO+iZqjwZeBZwLvKGqrlvP7b0TeC1dkvda4M3As7gt+RtVs5RPq6qOB44H2HfffWvFihXrGWY/K1euZD63cfjRp/eed9Wh87fdjc1814s2nHUyPNbJMFkvw7PYddL3HLXPVtXDgbOA05O8Ismd5rqxqrqmqm6pqluBdwP7tUmrgT1HZt0DuKqV7zFNuSRJ0kav71WfL07yYmA58FHgacAVc91Ykt1GRn8fmLoi9FTgkCR3TLIX3UUDZ1fV1cBNSfZvV3s+E/jYXLcrSZK0FPXt+txubPwj61ogyUnACmCXJKuBvwZWJNmHrvtyFfBcgKq6KMkpwDeAm4HnV9UtbVXPo7uCdGu6iwi8kECSJG0S+v4zwWvGy5LsmuQuwI+q6qZplnn6NKt67yzbOBY4dpryc4D79olTkiRpY9L39hzPnKb45cAX6VrX+p8FL0mSpF76dn0+aJqybavqWfMZjCRJkm7Tt+vzheNl7VwzSZIkTUjfrs+7TFO85TzHstFaPof7o0mSJE3p2/V5Ore/Ae3yeY9GkiRJv9S36/N+42VJ/mf+w5EkSdKUXje8ncGMf+UkSZKkDdf3HLWbuK3rc+p5qwnGJUmStMnr2/U5/s8EkiRJmrC+LWoPm668qj4/v+FIkiRpSt+rPl/anh8KfKENF2CiJkmSNCF9uz6fAJDkvKlhSZIkTdZcr/r0Sk9JkqQF0vcctRe3wV1Hhqmqt0wkKkmSJPU+R23qqs93jwxLkiRpgvqeo/YagCTbVNWPJxuSJEmSoOc5akl+O8k3gIvb+P2THDfRyCRJkjZxfS8m+AfgAOCHAFX1NWDae6tJkiRpfvS+6rOqrhwrumWeY5EkSdKIvhcTXJnkd4BKsiXwIlo3qCRJkiajb4vanwDPB3YHVgP7tHFJkiRNSN+rPn8AHDpalqRva5wkSZLWQ9+rPv9ibHwF8KUJxCNJkqSmb9fn3ZL8c5Ldk3wAOAp4ygTjkiRJ2uT1StSq6oXARcDlwGeq6glV9a2JRiZJkrSJm+t/fX4eeFmSncH/+pQkSZqkuf7XZ4Ct8f8+JUmSJq73f30mOQL4XeCIqjppsmFJkiSp71WfbwAeDdwfeFqSk5Ism2hkkiRJm7i+XZ83V9UftuGDkzwB+BTdjW8lSZI0AX2v+vyrsfGPA/tPJCJJkiQBc/hT9nFV9dP5DESSJElrW+9ETZIkSZNloiZJkjRQfa/63CHJW5Oc0x5vTrLDpIOTJEnalPVtUXsfcCPw1Pa4EfiXSQUlSZKk/rfnuHtV/b+R8dckOX8C8UiSJKnp26L2kyQPnRpJ8hDgJ5MJSZIkSdC/Re15wIntvLQA1wGHTyooSZIk9f+vz/OB+yfZvo3fOMmgJEmS1P+qz3sneQGwNfB3Sf49yW9NNjRJkqRNW99z1D4E3Av4MnA2cArwnkkFJUmSpP6J2h2q6oXAz6vqvVV1yhyWlSRJ0nroezHBtkn+ANg8ye/TJWnbTy4sSZIk9U3UzgSe0J6f2Mo+P5GIJEmSBPRP1N5eVV+daCSSJElaS9/zzLxwQJIkaYH1bVHbPMlOdDe7/aWqum7+Q5IkSRL0T9TuBZzL2olaAXeb94gkSZIE9E/UvlFV3uBWkiRpAfVN1DQwy48+vdd8q9540IQjkSRJk9L3YoLfnuuKk7wvybVJLhwp2znJGUkubc87jUw7JsllSS5JcsBI+QOTXNCmvS1JxrclSZK0MeqbqH08yY5TI0l2SvKpdSxzAnDgWNnRwGeram/gs22cJPcGDgHu05Y5LslmbZl3AkcCe7fH+DolSZI2Sn0TtTtX1fVTI1X1I2DX2Raoqs8D41eFPgk4sQ2fCBw8Un5yVf2sqr4FXAbsl2Q3YPuqOquqCnj/yDKSJEkbtb6J2i1J7jI1kuSudFd9ztWyqroaoD1PJXu7A1eOzLe6le3ehsfLJUmSNnp9LyZ4BfCFJGe28YfRdUfOl+nOO6tZyqdfSXIkLa5ly5axcuXKeQluJmvWrOm1jaPud/NE45jNpPfBEPWtFy0c62R4rJNhsl6GZ7HrpFeiVlX/leQBwP50ydNfVNUP1mN71yTZraqubt2a17by1cCeI/PtAVzVyveYpnymOI8HjgfYd999a8WKFesRYn8rV66kzzYO73mF5iSsOnTFom17sfStFy0c62R4rJNhsl6GZ7HrpFfXZ7vS8kDgAVX1ceBOSfZbj+2dChzWhg8DPjZSfkiSOybZi+6igbNb9+hNSfZvMTxzZBlJkqSNWt9z1I6ju0XH09v4TcA/zbZAkpOAs4B7JVmd5NnAG4FHJ7kUeHQbp6ouAk4BvgH8F/D8qrqlrep5dP81ehlwOfDJnjFLkiQtaX3PUXtwVT0gyXnQXfWZZMvZFqiqp88w6ZEzzH8scOw05ecA9+0ZpyRJ0kajb4vaL9p9zQogyZ2BWycWlSRJknonam8DPgrsmuRY4AvA6ycWlSRJknpf9fnBJOfSdVsGOLiqLp5oZJIkSZu4Xolakp3pbqVx0mhZVY3/84AkSZLmSd+LCc7lthvQ7gZc3cbvNqG4JEmSNnl9uz73mhpOcl5V/dbkQpIkSRL0v5gAgHZLjllvyyFJkqT50fcctY+3wd8APjS5cCRJkjSl7zlqf09337TVVfWtCcYjSZKkpm+idsHUQLsCFACv+pQkSZqcvonaD4BrgJ/QXfkJXvUpSZI0UX0vJjgSWA28Gdi7qvaqKpM0SZKkCeqVqFXVe4CHAncEvpjk0IlGJUmSpH6JWpI/AA4CVgHvBP4yydcmGJckSdImr+85ak8YGz93vgORJEnS2vr+M8ERkw5EkiRJa+t7w9tTpyuvqifObziSJEma0rfr8zeA50wyEEmSJK2tb6J2U1WdOdFIJEmStJa+91G7f5Lrk3wvyVeTvD3JLhONTJIkaRPX9z5qmwE7A3cHngZ8DzhxgnFJkiRt8vq2qFFVt1bVj6vq0qo6FvivCcYlSZK0yet7jhpJngg8rI2eWVVvn0xIkiRJgv7/TPAG4M+Ab7THi1qZJEmSJqRvi9pBwD5VdStAkhOB84BjJhWYJEnSpq73OWrAjiPDO8xzHJIkSRrTt0XtDcB5ST4HhO5ctZdPLCpJkiT1/q/Pk5KsBB5El6j9ZVV9b5KBSZIkbepm7fpMctDUcFVdXVWnVtXHgB8n8apPSZKkCVrXOWr/mOTZowVJ/hD4OnDtxKKSJEnSOrs+fxc4PcnuwMnAccDPgUdV1eWTDk6SJGlTNmuLWlVdDTycLmH7OvCeqnqcSZokSdLkrfP2HFV1E/BY4BTgD5NsNfGoJEmSNHvXZ5KbgJoaBbYBrktyC1BVtf2E49MGWn706b3mW/XGg9Y9kyRJWlCzJmpVtd1CBSJJkqS1zeWfCSRJkrSATNQkSZIGykRNkiRpoEzUJEmSBspETZIkaaBM1CRJkgbKRE2SJGmgTNQkSZIGykRNkiRpoEzUJEmSBspETZIkaaBM1CRJkgbKRE2SJGmgTNQkSZIGykRNkiRpoEzUJEmSBmpRErUkq5JckOT8JOe0sp2TnJHk0va808j8xyS5LMklSQ5YjJglSZIW2mK2qD2iqvapqn3b+NHAZ6tqb+CzbZwk9wYOAe4DHAgcl2SzxQhYkiRpIQ2p6/NJwIlt+ETg4JHyk6vqZ1X1LeAyYL+FD0+SJGlhLVaiVsCnk5yb5MhWtqyqrgZoz7u28t2BK0eWXd3KJEmSNmqbL9J2H1JVVyXZFTgjyTdnmTfTlNW0M3ZJ35EAy5YtY+XKlRsc6GzWrFnTaxtH3e/micYxHya9rxZS33rRwrFOhsc6GSbrZXgWu04WJVGrqqva87VJPkrXlXlNkt2q6uokuwHXttlXA3uOLL4HcNUM6z0eOB5g3333rRUrVkzoFXRWrlxJn20cfvTpE41jPqw6dMVihzBv+taLFo51MjzWyTBZL8Oz2HWy4F2fSbZJst3UMPAY4ELgVOCwNtthwMfa8KnAIUnumGQvYG/g7IWNWpIkaeEtRovaMuCjSaa2/6Gq+q8kXwFOSfJs4DvAUwCq6qIkpwDfAG4Gnl9VtyxC3JIkSQtqwRO1qroCuP805T8EHjnDMscCx044NEmSpEEZ0u05JEmSNMJETZIkaaBM1CRJkgbKRE2SJGmgTNQkSZIGykRNkiRpoEzUJEmSBspETZIkaaBM1CRJkgbKRE2SJGmgTNQkSZIGykRNkiRpoEzUJEmSBspETZIkaaBM1CRJkgbKRE2SJGmgTNQkSZIGykRNkiRpoEzUJEmSBspETZIkaaBM1CRJkgbKRE2SJGmgTNQkSZIGykRNkiRpoEzUJEmSBspETZIkaaBM1CRJkgbKRE2SJGmgTNQkSZIGykRNkiRpoDZf7AA0DMuPPr3XfKveeNCEI5EkSVNsUZMkSRooEzVJkqSBMlGTJEkaKBM1SZKkgTJRkyRJGigTNUmSpIEyUZMkSRooEzVJkqSB8oa3mhNvjCtJ0sIxUdsAF3z3Bg7vmbhIkiTNlV2fkiRJA2WiJkmSNFAmapIkSQPlOWqaCC86kCRpw9miJkmSNFAmapIkSQNl16eWhL5dqQAnHLjNBCORJGnh2KImSZI0UCZqkiRJA2WiJkmSNFBLJlFLcmCSS5JcluToxY5HkiRp0pbExQRJNgP+CXg0sBr4SpJTq+obixuZNtRcLhKQJGlTsyQSNWA/4LKqugIgycnAkwATNS053gxYktTXUknUdgeuHBlfDTx4kWLRRmJjac2bxOvomyT23ba3TJGk9ZOqWuwY1inJU4ADquo5bfwZwH5V9cKx+Y4Ejmyj9wIumXBouwA/mPA2NHfWy/BYJ8NjnQyT9TI8C1Und62qO48XLpUWtdXAniPjewBXjc9UVccDxy9UUEnOqap9F2p76sd6GR7rZHisk2GyXoZnsetkqVz1+RVg7yR7JdkSOAQ4dZFjkiRJmqgl0aJWVTcneQHwKWAz4H1VddEihyVJkjRRSyJRA6iqTwCfWOw4xixYN6vmxHoZHutkeKyTYbJehmdR62RJXEwgSZK0KVoq56hJkiRtckzU1pN/aTX/krwvybVJLhwp2znJGUkubc87jUw7pu3/S5IcMFL+wCQXtGlvS5JWfsckH27lX06yfGSZw9o2Lk1y2AK95MFLsmeSzyW5OMlFSf6slVsviyTJVknOTvK1VievaeXWySJLslmS85Kc1satk0WWZFXbn+cnOaeVLa16qSofc3zQXdBwOXA3YEvga8C9Fzuupf4AHgY8ALhwpOxNwNFt+Gjgb9vwvdt+vyOwV6uPzdq0s4HfBgJ8EnhsK/9T4F1t+BDgw214Z+CK9rxTG95psffHEB7AbsAD2vB2wP+2fW+9LF6dBNi2DW8BfBnY3zpZ/AfwYuBDwGlt3DpZ/DpZBewyVrak6sUWtfXzy7+0qqqfA1N/aaUNUFWfB64bK34ScGIbPhE4eKT85Kr6WVV9C7gM2C/JbsD2VXVWdZ+W948tM7Wufwce2X4VHQCcUVXXVdWPgDOAA+f79S1FVXV1VX21Dd8EXEz3TyHWyyKpzpo2ukV7FNbJokqyB3AQ8J6RYutkmJZUvZiorZ/p/tJq90WKZWO3rKquhi5pAHZt5TPVwe5teLx8rWWq6mbgBuBXZlmXRrQm/d+ia8GxXhZR62I7H7iW7svAOll8/wC8DLh1pMw6WXwFfDrJuen+vQiWWL0smdtzDEymKfPy2YU1Ux3MVjfrs4yAJNsCHwH+vKpubKdnTDvrNGXWyzyrqluAfZLsCHw0yX1nmd06mbAkjweurapzk6zos8g0ZdbJZDykqq5KsitwRpJvzjLvIOvFFrX10+svrTQvrmnNzrTna1v5THWwug2Pl6+1TJLNgR3oulqtz1kk2YIuSftgVf1HK7ZeBqCqrgdW0nWpWCeL5yHAE5OsojsV5veSfADrZNFV1VXt+Vrgo3SnLi2pejFRWz/+pdXCORWYulrmMOBjI+WHtCtu9gL2Bs5uzdg3Jdm/nSfwzLFlptb1ZOC/2/kGnwIek2SndvXPY1rZJq/tw/cCF1fVW0YmWS+LJMmdW0saSbYGHgV8E+tk0VTVMVW1R1Utp/s++O+q+iOsk0WVZJsk200N0+2bC1lq9bKhV1Rsqg/gcXRXwF0OvGKx49kYHsBJwNXAL+h+jTybrq//s8Cl7Xnnkflf0fb/JbQrcFr5vu3DeDnwDm67sfNWwL/RnSB6NnC3kWWe1covA45Y7H0xlAfwULrm+q8D57fH46yXRa2T3wTOa3VyIfCqVm6dDOABrOC2qz6tk8Wti7vRXcX5NeAi2nf1UqsX/5lAkiRpoOz6lCRJGigTNUmSpIEyUZMkSRooEzVJkqSBMlGTJEkaKP+ZQNKCSfLrdP+LF2BL4FzghVX1f4samCQNlLfnkLRgkuxAd9y5vo2/Ffh+Vb1+UQOTpIGy61PSgqmqG0aStDvQ3SxyavyPk3wlydeSfCTJnVr5CUneleR/kvxv+19Fkhye5PtJzm+P7yc5fGpbSVYluSDJN5Jc2Mr2S/LFJOe153u18s+1daxJckkbfuJM849Ksk+Le8cky0e29dAW89Zt/KVtvq8neU0r++X8bfzJSU4Yed1PbsMvSfLqNrxvkpXjyyfZIskVSd4xvnwbvzDJ8g2oPkmLwERN0oJKsnWS84HvA/cH3t0m/UdVPaiq7g9cTPfPFFOWAw8HDgLelWSrVv7hqtqnqvYBPjy2qc3aMo8bKfsm8LCq+i3gVcDrAarqEW0d5wCHtnWeOtP8o6rqfOA1bftbtNd4N+BtwFOq6idJHkP3dzT7AfsAD0zysD77aw6OBNbM8zolLTLPUZO0oKrqJ8A+6f7A+O10f9nyauC+SV4H7Ahsy9r/i3dKVd0KXJrkCuDXe2xqa+CnwPYjZTsAJybZm+6vsbZYxzp6zV9VpyV5RXs92wKnAx+oqu+1WR7THue18W3pErfvAHdvievU9s7s8drW0lofjwDeCdxnZNLfJXllG777XNcrafHZoiZpUVTVzcDJwINa0QnAC6rqfnQtVFuNzj6++Gzrbi1ud5jmIoXXAp+rqvsCTxjbxnR6zZ/kD4Ar2mNP4G/o/tx516lZgDdMtf5V1T2q6r1t2uUjrYIvXUc8M/lz4HjgJ2PlLx1Z9+XruW5Ji8hETdKCSbJ3kru04QBPpPsjY4DtgKuTbAEcOrboU5LcIcnd6f5o+ZJ1bOrJwFnTlO8AfLcNH94j5HXOn2QbusTyKOBNwMVVdRJdkvd3bbZPAc9Ksm1bZveRJG5D7QAcDLxvntYnaUDs+pS0kLYFPphkyzZ+JvCGNvxXwJeBbwMX0CVuUy5p8y4D/qSqftrlebeX5PeB5zF9YvUmuq7MFwP/3SPePvP/NXB8VX1v9GT9qjolybOSPKyqPp3kN4CzWtxrgD8CblnH9l+b5M+B3YHNkjyKbh/uleRZLaY9gJdU1c0z7RNJS5e355A0aO0qyNOq6t8XO5ahSLICWFFVr17cSCRNmi1qkrT0fAu4dbGDkDR5tqhJkiQNlBcTSJIkDZSJmiRJ0kCZqEmSJA2UiZokSdJAmahJkiQNlImaJEnSQP1/41pLzfh2K6UAAAAASUVORK5CYII=\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('Распределение по заработной плате у женщин с высшим образованием') \n",
+    "plt.xlabel('Зарплата женщин') \n",
+    "plt.ylabel('Количество женщин') \n",
+    "plt.grid() \n",
+    "\n",
+    "plt.hist(women_height, \n",
+    "         bins=50) \n",
+    "plt.show()"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 60,
+   "id": "3c168a5c",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "women_not_height = np.asarray(cursor.execute(\"SELECT salary FROM works WHERE gender='Женский' and educationType='Незаконченное высшее'\").fetchall())"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 61,
+   "id": "ef6a0e8b",
+   "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('Распределение по заработной плате у женщин с незаконченным высшим образованием') \n",
+    "plt.xlabel('Зарплата женщин') \n",
+    "plt.ylabel('Количество женщин') \n",
+    "plt.grid() \n",
+    "\n",
+    "plt.hist(women_not_height, \n",
+    "         bins=50) \n",
+    "plt.show()"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 62,
+   "id": "bac2bbdc",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "women_mean = np.asarray(cursor.execute(\"SELECT salary FROM works WHERE gender='Женский' and educationType='Среднее'\").fetchall())"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 63,
+   "id": "ca46b517",
+   "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('Распределение по заработной плате у женщин с незаконченным высшим образованием') \n",
+    "plt.xlabel('Зарплата женщин') \n",
+    "plt.ylabel('Количество женщин') \n",
+    "plt.grid() \n",
+    "\n",
+    "plt.hist(women_mean, \n",
+    "         bins=50) \n",
+    "plt.show()"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 64,
+   "id": "8bf0c525",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "women_mean_prof = np.asarray(cursor.execute(\"SELECT salary FROM works WHERE gender='Женский' and educationType='Среднее профессиональное'\").fetchall())"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 65,
+   "id": "8403751f",
+   "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('Распределение по заработной плате у женщин с незаконченным высшим образованием') \n",
+    "plt.xlabel('Зарплата женщин') \n",
+    "plt.ylabel('Количество женщин') \n",
+    "plt.grid() \n",
+    "\n",
+    "plt.hist(women_mean_prof, \n",
+    "         bins=50) \n",
+    "plt.show()"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "1a767ab5",
+   "metadata": {},
+   "source": [
+    "# ДЗ"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "05068e34",
+   "metadata": {},
+   "source": [
+    "## Создайте таблицу с гендером."
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 68,
+   "id": "b01a39c1",
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "[]"
+      ]
+     },
+     "execution_count": 68,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "cursor.execute(\"CREATE TABLE IF NOT EXISTS genders(id INTEGER PRIMARY KEY AUTOINCREMENT, gender TEXT)\").fetchall()"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 69,
+   "id": "1ff29e3a",
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "[(0, 'id', 'INTEGER', 0, None, 1), (1, 'gender', 'TEXT', 0, None, 0)]"
+      ]
+     },
+     "execution_count": 69,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "cursor.execute(\"pragma table_info(genders)\").fetchall()"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 72,
+   "id": "bad69521",
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "<sqlite3.Cursor at 0x1b8f5b57c70>"
+      ]
+     },
+     "execution_count": 72,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "cursor.execute('INSERT INTO genders(gender) SELECT DISTINCT gender FROM works WHERE gender IS NOT NULL')"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 73,
+   "id": "525b0a4b",
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "<sqlite3.Cursor at 0x1b8f5b57c70>"
+      ]
+     },
+     "execution_count": 73,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "cursor.execute('ALTER TABLE works ADD COLUMN gender_id INTEGER REFERENCES genders(id)')"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 74,
+   "id": "d379eac9",
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "<sqlite3.Cursor at 0x1b8f5b57c70>"
+      ]
+     },
+     "execution_count": 74,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "cursor.execute('UPDATE works SET gender_id = (SELECT id FROM genders WHERE gender = works.gender)')"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 75,
+   "id": "03100a8b",
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "<sqlite3.Cursor at 0x1b8f5b57c70>"
+      ]
+     },
+     "execution_count": 75,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "cursor.execute('ALTER TABLE works DROP COLUMN gender')"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 76,
+   "id": "3208898a",
+   "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, 'gender_id', 'INTEGER', 0, None, 0)]"
+      ]
+     },
+     "execution_count": 76,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "cursor.execute(\"pragma table_info(works)\").fetchall()"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 78,
+   "id": "a7a26d6e",
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "[(1,\n",
+       "  60000,\n",
+       "  'Высшее',\n",
+       "  'Специалист пресс-службы',\n",
+       "  'Магистр',\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",
+       "  1),\n",
+       " (2, 85000, 'Высшее', 'менеджер проектов', None, '2021-04-01', None, None, 1)]"
+      ]
+     },
+     "execution_count": 78,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "cursor.execute(\"SELECT * FROM works limit 2\").fetchall()"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 84,
+   "id": "41b674e5",
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "[(1, 'Мужской'),\n",
+       " (2, 'Женский'),\n",
+       " (3, 'Мужской'),\n",
+       " (4, 'Женский'),\n",
+       " (5, 'Мужской')]"
+      ]
+     },
+     "execution_count": 84,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "cursor.execute(\"SELECT * FROM genders limit 5\").fetchall()"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "12d90d29",
+   "metadata": {},
+   "source": [
+    "## Создайте таблицу для образования."
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 85,
+   "id": "7b27ade4",
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "<sqlite3.Cursor at 0x1b8f5b57c70>"
+      ]
+     },
+     "execution_count": 85,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "cursor.execute('CREATE TABLE IF NOT EXISTS education(id INTEGER PRIMARY KEY AUTOINCREMENT, type_educate TEXT)')"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 90,
+   "id": "3f5cd214",
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "<sqlite3.Cursor at 0x1b8f5b57c70>"
+      ]
+     },
+     "execution_count": 90,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "cursor.execute('INSERT INTO education(type_educate) SELECT DISTINCT educationType FROM works WHERE educationType IS NOT NULL')"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 94,
+   "id": "fbb0d83d",
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "<sqlite3.Cursor at 0x1b8f5b57c70>"
+      ]
+     },
+     "execution_count": 94,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "cursor.execute('ALTER TABLE works ADD COLUMN education_id INTEGER REFERENCES education(id)')"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 100,
+   "id": "4e50e3a7",
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "<sqlite3.Cursor at 0x1b8f5b57c70>"
+      ]
+     },
+     "execution_count": 100,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "cursor.execute('UPDATE works SET education_id = (SELECT id FROM education WHERE type_educate = works.educationType)')"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 104,
+   "id": "57ffb613",
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "<sqlite3.Cursor at 0x1b8f5b57c70>"
+      ]
+     },
+     "execution_count": 104,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "cursor.execute('ALTER TABLE works DROP COLUMN educationType')"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 105,
+   "id": "3d3be510",
+   "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, 'gender_id', 'INTEGER', 0, None, 0),\n",
+       " (8, 'education_id', 'INTEGER', 0, None, 0)]"
+      ]
+     },
+     "execution_count": 105,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "cursor.execute(\"pragma table_info(works)\").fetchall()"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 106,
+   "id": "2c746b46",
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "[(1,\n",
+       "  60000,\n",
+       "  'Специалист пресс-службы',\n",
+       "  'Магистр',\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",
+       "  1,\n",
+       "  1),\n",
+       " (2, 85000, 'менеджер проектов', None, '2021-04-01', None, None, 1, 1)]"
+      ]
+     },
+     "execution_count": 106,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "cursor.execute(\"SELECT * FROM works limit 2\").fetchall()"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 107,
+   "id": "cb858dc2",
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "[(1, 'Высшее'),\n",
+       " (2, 'Среднее профессиональное'),\n",
+       " (3, 'Среднее'),\n",
+       " (4, 'Незаконченное высшее'),\n",
+       " (5, 'Высшее')]"
+      ]
+     },
+     "execution_count": 107,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "cursor.execute(\"SELECT * FROM education limit 5\").fetchall()"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "f039c6d8",
+   "metadata": {},
+   "source": [
+    "## Очистить поля skills и otherInfo от HTML."
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 152,
+   "id": "0bb02427",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "works1 = cursor.execute(\"SELECT ID, skills, otherInfo FROM works\").fetchall()"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 156,
+   "id": "84bfc505",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "clear_works = []\n",
+    "for id, skill, other_info in works1:\n",
+    "    if skill is not None:\n",
+    "        skill = re.sub(r'<.*?>|&([a-z0-9]+|#[0-9]{1,6}|#x[0-9a-f]{1,6});', '', skill)\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",
+    "    clear_works.append((skill, other_info, id))"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 159,
+   "id": "ba7b8b83",
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "<sqlite3.Cursor at 0x1b8f5b57c70>"
+      ]
+     },
+     "execution_count": 159,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "cursor.executemany(\"UPDATE works SET skills = ?, otherInfo = ? WHERE ID = ?\", clear_works)"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 160,
+   "id": "677791db",
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "[(1,\n",
+       "  60000,\n",
+       "  'Специалист пресс-службы',\n",
+       "  'Магистр',\n",
+       "  '2021-04-01',\n",
+       "  'Аналитическоемышление,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)]"
+      ]
+     },
+     "execution_count": 160,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "cursor.execute(\"SELECT * FROM works limit 2\").fetchall()"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "id": "a9bd5fe6",
+   "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
+}