From 5977da5b7960cc7a57c5dd18d6be93f4b5375c17 Mon Sep 17 00:00:00 2001
From: Pasha <saadallahsherwan5@gmail.com>
Date: Sat, 18 Dec 2021 14:48:38 +0300
Subject: [PATCH] add new file

---
 tasks_pandas_1-8.ipynb | 3610 ++++++++++++++++++++++++++++++++++++++++
 1 file changed, 3610 insertions(+)
 create mode 100644 tasks_pandas_1-8.ipynb

diff --git a/tasks_pandas_1-8.ipynb b/tasks_pandas_1-8.ipynb
new file mode 100644
index 0000000..8b2ac81
--- /dev/null
+++ b/tasks_pandas_1-8.ipynb
@@ -0,0 +1,3610 @@
+{
+ "cells": [
+  {
+   "cell_type": "code",
+   "execution_count": 184,
+   "id": "7da1116b",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "import numpy as np\n",
+    "import pandas as pd\n",
+    "import matplotlib.pyplot as plt"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "1e452cec",
+   "metadata": {},
+   "source": [
+    "# 1. Загружаем данные из файла works"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 185,
+   "id": "ada21dce",
+   "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": 185,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "data = pd.read_csv(\"works.csv\")\n",
+    "data"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "4d528014",
+   "metadata": {},
+   "source": [
+    "# 1. Узнать общее количество записей в датасете"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "70b32d6d",
+   "metadata": {},
+   "source": [
+    "Узнаем количество записей датафрейма можно несколькими способами"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 186,
+   "id": "754ea3e8",
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "32683"
+      ]
+     },
+     "execution_count": 186,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "len(data)"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "86b70f35",
+   "metadata": {},
+   "source": [
+    "Общее количество элементов, проверяем через функцию size"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 187,
+   "id": "5ca07e4e",
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "261464"
+      ]
+     },
+     "execution_count": 187,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "data.size"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "5fd7333b",
+   "metadata": {},
+   "source": [
+    "# 2. Узнать количество мужчин и женщин в датасете"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "6c1a8ca8",
+   "metadata": {},
+   "source": [
+    "Узнать количество мужчин и женщин в датасете можно применив функцию value_counts к столбцу \"gender\""
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 188,
+   "id": "c5fd4ce2",
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "Женский    17910\n",
+       "Мужской    13386\n",
+       "Name: gender, dtype: int64"
+      ]
+     },
+     "execution_count": 188,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "data['gender'].value_counts()"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "ceffed9f",
+   "metadata": {},
+   "source": [
+    "Применив аргумент normalize=True можем вычислить количество мужчин и женщин в процентом отношении"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 189,
+   "id": "237859c3",
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "Женский    0.572278\n",
+       "Мужской    0.427722\n",
+       "Name: gender, dtype: float64"
+      ]
+     },
+     "execution_count": 189,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "data['gender'].value_counts(normalize=True)"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "8c847b35",
+   "metadata": {},
+   "source": [
+    "# 3. Узнать сколько значений в столбце skills не NAN"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "ea69886b",
+   "metadata": {},
+   "source": [
+    "Узнать сколько значений в столбце skills не NaN через функцию info"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 190,
+   "id": "63f7f766",
+   "metadata": {},
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "<class 'pandas.core.frame.DataFrame'>\n",
+      "RangeIndex: 32683 entries, 0 to 32682\n",
+      "Data columns (total 8 columns):\n",
+      " #   Column         Non-Null Count  Dtype \n",
+      "---  ------         --------------  ----- \n",
+      " 0   salary         32683 non-null  int64 \n",
+      " 1   educationType  24750 non-null  object\n",
+      " 2   jobTitle       20259 non-null  object\n",
+      " 3   qualification  12176 non-null  object\n",
+      " 4   gender         31296 non-null  object\n",
+      " 5   dateModify     32682 non-null  object\n",
+      " 6   skills         8972 non-null   object\n",
+      " 7   otherInfo      2316 non-null   object\n",
+      "dtypes: int64(1), object(7)\n",
+      "memory usage: 2.0+ MB\n"
+     ]
+    }
+   ],
+   "source": [
+    "data.info()"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 191,
+   "id": "9b63dae4",
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "8972"
+      ]
+     },
+     "execution_count": 191,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "data['skills'].notnull().sum()"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 192,
+   "id": "815e62ec",
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "8972"
+      ]
+     },
+     "execution_count": 192,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "data['skills'].notnull().values.sum()"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "79e1a2b9",
+   "metadata": {},
+   "source": [
+    "# 4. Получить все заполненные скиллы"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "6ba377d3",
+   "metadata": {},
+   "source": [
+    "Получим все заполненные скилы с помощью фильтрации по столбцу"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 193,
+   "id": "52a9828b",
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "0        <p>Аналитическое&nbsp;мышление,&nbsp;<span cla...\n",
+       "5        Ответственная,пунктуальная,дисциплинированная ...\n",
+       "10                         <p>Коммуникабельность&nbsp;</p>\n",
+       "13                         <p>Ответственность в работе</p>\n",
+       "21       <p>Усидчивость, умение удерживать в памяти нуж...\n",
+       "                               ...                        \n",
+       "32665    <p>Отвественность</p><p>Исполнительность</p><p...\n",
+       "32668    <p>Высокая работоспособность, нацеленность на ...\n",
+       "32672                                <p>исполнительный</p>\n",
+       "32674    <p>Нацелен на результат. Считаю себя командным...\n",
+       "32675                                 <p>трудоспособен</p>\n",
+       "Name: skills, Length: 8972, dtype: object"
+      ]
+     },
+     "execution_count": 193,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "data[data['skills'].notna()]['skills']"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "f21915af",
+   "metadata": {},
+   "source": [
+    "# 5. Вывести зарплату только у тех, у которых в скиллах есть Python (Питон)"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "ee181301",
+   "metadata": {},
+   "source": [
+    "Получим все строки в которых присутствутет слово python или питон. Для этого при получении троки переведем все \n",
+    "символы в нижний регистр"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 194,
+   "id": "39d8095e",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "df = data.skills.dropna().str.lower().str.contains('python|питон')"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 195,
+   "id": "a30b9f50",
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "230      35000\n",
+       "334      20000\n",
+       "2394     35000\n",
+       "8096     15000\n",
+       "9014     25000\n",
+       "9667     90000\n",
+       "20930    30000\n",
+       "22530    50000\n",
+       "28286    23000\n",
+       "30430    23000\n",
+       "Name: salary, dtype: int64"
+      ]
+     },
+     "execution_count": 195,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "data[data.skills.notna()][df]['salary']"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "454adfab",
+   "metadata": {},
+   "source": [
+    "# 6. Построить перцентили по заработной плате у мужчин и женщин"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "f88b7a85",
+   "metadata": {},
+   "source": [
+    "Для вычисления перцентилей получим одномерный массив распределения от 0,1 до 1. "
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 196,
+   "id": "b180df5b",
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "array([0.1, 0.2, 0.3, 0.4, 0.5, 0.6, 0.7, 0.8, 0.9, 1. ])"
+      ]
+     },
+     "execution_count": 196,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "percent_linspace = np.linspace(.1, 1, 10)\n",
+    "percent_linspace"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 197,
+   "id": "e510cefd",
+   "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",
+       "    </tr>\n",
+       "  </thead>\n",
+       "  <tbody>\n",
+       "    <tr>\n",
+       "      <th>0.1</th>\n",
+       "      <td>15000.0</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>0.2</th>\n",
+       "      <td>20000.0</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>0.3</th>\n",
+       "      <td>25000.0</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>0.4</th>\n",
+       "      <td>30000.0</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>0.5</th>\n",
+       "      <td>30000.0</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>0.6</th>\n",
+       "      <td>35000.0</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>0.7</th>\n",
+       "      <td>40000.0</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>0.8</th>\n",
+       "      <td>50000.0</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>0.9</th>\n",
+       "      <td>60000.0</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>1.0</th>\n",
+       "      <td>1000000.0</td>\n",
+       "    </tr>\n",
+       "  </tbody>\n",
+       "</table>\n",
+       "</div>"
+      ],
+      "text/plain": [
+       "        salary\n",
+       "0.1    15000.0\n",
+       "0.2    20000.0\n",
+       "0.3    25000.0\n",
+       "0.4    30000.0\n",
+       "0.5    30000.0\n",
+       "0.6    35000.0\n",
+       "0.7    40000.0\n",
+       "0.8    50000.0\n",
+       "0.9    60000.0\n",
+       "1.0  1000000.0"
+      ]
+     },
+     "execution_count": 197,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "male_salary = data.query('gender == \"Мужской\"').quantile(percent_linspace)\n",
+    "male_salary"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 198,
+   "id": "fdf8f4ae",
+   "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('Заработная плата мужчин в перцентилях') \n",
+    "plt.xlabel('Перцентили') \n",
+    "plt.ylabel('Зарплата мужчин') \n",
+    "plt.grid() \n",
+    "\n",
+    "plt.plot(male_salary)  \n",
+    "plt.show()"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 199,
+   "id": "7511ffff",
+   "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",
+       "    </tr>\n",
+       "  </thead>\n",
+       "  <tbody>\n",
+       "    <tr>\n",
+       "      <th>0.1</th>\n",
+       "      <td>15000.0</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>0.2</th>\n",
+       "      <td>18000.0</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>0.3</th>\n",
+       "      <td>20000.0</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>0.4</th>\n",
+       "      <td>22000.0</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>0.5</th>\n",
+       "      <td>25000.0</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>0.6</th>\n",
+       "      <td>30000.0</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>0.7</th>\n",
+       "      <td>30000.0</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>0.8</th>\n",
+       "      <td>35000.0</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>0.9</th>\n",
+       "      <td>47000.0</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>1.0</th>\n",
+       "      <td>900000.0</td>\n",
+       "    </tr>\n",
+       "  </tbody>\n",
+       "</table>\n",
+       "</div>"
+      ],
+      "text/plain": [
+       "       salary\n",
+       "0.1   15000.0\n",
+       "0.2   18000.0\n",
+       "0.3   20000.0\n",
+       "0.4   22000.0\n",
+       "0.5   25000.0\n",
+       "0.6   30000.0\n",
+       "0.7   30000.0\n",
+       "0.8   35000.0\n",
+       "0.9   47000.0\n",
+       "1.0  900000.0"
+      ]
+     },
+     "execution_count": 199,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "female_salary = data.query('gender == \"Женский\"').quantile(percent_linspace)\n",
+    "female_salary"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 200,
+   "id": "9ff4f3d9",
+   "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('Заработная плата женщин в перцентилях') \n",
+    "plt.xlabel('Перцентили') \n",
+    "plt.ylabel('Зарплата женщин') \n",
+    "plt.grid() \n",
+    "\n",
+    "plt.plot(female_salary)  \n",
+    "plt.show()"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "01aef10d",
+   "metadata": {},
+   "source": [
+    "# 7. Построить графики распределения по заработной плате мужчин и женщин в зависимости от высшего образования"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 201,
+   "id": "5d73aec6",
+   "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>educationType</th>\n",
+       "      <th>salary</th>\n",
+       "    </tr>\n",
+       "  </thead>\n",
+       "  <tbody>\n",
+       "    <tr>\n",
+       "      <th>0</th>\n",
+       "      <td>Высшее</td>\n",
+       "      <td>38536.860696</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>1</th>\n",
+       "      <td>Незаконченное высшее</td>\n",
+       "      <td>36036.267699</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>2</th>\n",
+       "      <td>Среднее</td>\n",
+       "      <td>28511.660356</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>3</th>\n",
+       "      <td>Среднее профессиональное</td>\n",
+       "      <td>29848.650757</td>\n",
+       "    </tr>\n",
+       "  </tbody>\n",
+       "</table>\n",
+       "</div>"
+      ],
+      "text/plain": [
+       "              educationType        salary\n",
+       "0                    Высшее  38536.860696\n",
+       "1      Незаконченное высшее  36036.267699\n",
+       "2                   Среднее  28511.660356\n",
+       "3  Среднее профессиональное  29848.650757"
+      ]
+     },
+     "execution_count": 201,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "male_salary = data.groupby('educationType').agg('mean').reset_index()\n",
+    "male_salary"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 202,
+   "id": "46485e51",
+   "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>educationType</th>\n",
+       "      <th>salary</th>\n",
+       "    </tr>\n",
+       "  </thead>\n",
+       "  <tbody>\n",
+       "    <tr>\n",
+       "      <th>0</th>\n",
+       "      <td>Высшее</td>\n",
+       "      <td>33826.008009</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>1</th>\n",
+       "      <td>Незаконченное высшее</td>\n",
+       "      <td>29171.382643</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>2</th>\n",
+       "      <td>Среднее</td>\n",
+       "      <td>24958.723963</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>3</th>\n",
+       "      <td>Среднее профессиональное</td>\n",
+       "      <td>25834.460409</td>\n",
+       "    </tr>\n",
+       "  </tbody>\n",
+       "</table>\n",
+       "</div>"
+      ],
+      "text/plain": [
+       "              educationType        salary\n",
+       "0                    Высшее  33826.008009\n",
+       "1      Незаконченное высшее  29171.382643\n",
+       "2                   Среднее  24958.723963\n",
+       "3  Среднее профессиональное  25834.460409"
+      ]
+     },
+     "execution_count": 202,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "female_salary = data.query('gender == \"Женский\"').groupby('educationType').agg('mean').reset_index()\n",
+    "female_salary"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 203,
+   "id": "249f419d",
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "image/png": 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\n",
+      "text/plain": [
+       "<Figure size 432x288 with 1 Axes>"
+      ]
+     },
+     "metadata": {
+      "needs_background": "light"
+     },
+     "output_type": "display_data"
+    }
+   ],
+   "source": [
+    "education = male_salary['educationType'].values\n",
+    "male_salaries = male_salary['salary'].values\n",
+    "female_salaries = female_salary['salary'].values\n",
+    "\n",
+    "index = np.arange(len(education))\n",
+    "\n",
+    "bw = 0.4\n",
+    "plt.bar(index-bw/2, male_salaries, bw, color='blue', label='Средняя зарплата мужчин')\n",
+    "plt.bar(index+bw/2, female_salaries, bw, color='red', label='Средняя зарплата женщин')\n",
+    "plt.xticks(index, education, rotation=90)\n",
+    "plt.legend()\n",
+    "plt.show()"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "3c8325c2",
+   "metadata": {},
+   "source": [
+    "### Построение графика распределения заработной платы для мужчин\n"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "db7b7ce2",
+   "metadata": {},
+   "source": [
+    "Для начала отсортируем датафрейм. Оставим строки в которых у мужчин есть высшее образование"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 204,
+   "id": "a3838d05",
+   "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>10</th>\n",
+       "      <td>100000</td>\n",
+       "      <td>Высшее</td>\n",
+       "      <td>Начальник участка</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>Мужской</td>\n",
+       "      <td>2021-04-01</td>\n",
+       "      <td>&lt;p&gt;Коммуникабельность&amp;nbsp;&lt;/p&gt;</td>\n",
+       "      <td>NaN</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>16</th>\n",
+       "      <td>100000</td>\n",
+       "      <td>Высшее</td>\n",
+       "      <td>Технический директор</td>\n",
+       "      <td>Экономист</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>28</th>\n",
+       "      <td>50000</td>\n",
+       "      <td>Высшее</td>\n",
+       "      <td>Монтажник электрических подьемников</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>Мужской</td>\n",
+       "      <td>2021-04-01</td>\n",
+       "      <td>&lt;p&gt;Знание программного обеспечения от ведущих ...</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>32654</th>\n",
+       "      <td>50000</td>\n",
+       "      <td>Высшее</td>\n",
+       "      <td>экономист 8 разряда в подразделение \"Сектор по...</td>\n",
+       "      <td>инженер-экономист</td>\n",
+       "      <td>Мужской</td>\n",
+       "      <td>2021-01-26</td>\n",
+       "      <td>&lt;p&gt;инициативность;&lt;/p&gt;&lt;p&gt;внимательность;&lt;/p&gt;&lt;p...</td>\n",
+       "      <td>&lt;p&gt;Знание-Бухгалтерский учет, управленческий у...</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>32659</th>\n",
+       "      <td>45000</td>\n",
+       "      <td>Высшее</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>Инженер по организации и управлением на морско...</td>\n",
+       "      <td>Мужской</td>\n",
+       "      <td>2020-06-26</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>NaN</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>32663</th>\n",
+       "      <td>40000</td>\n",
+       "      <td>Высшее</td>\n",
+       "      <td>Слесарь по ремонту подвижного состава 2-3 разряда</td>\n",
+       "      <td>Техник</td>\n",
+       "      <td>Мужской</td>\n",
+       "      <td>2021-11-17</td>\n",
+       "      <td>&lt;p&gt;Командообразование, лидерство, опыт работы ...</td>\n",
+       "      <td>NaN</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>32668</th>\n",
+       "      <td>40000</td>\n",
+       "      <td>Высшее</td>\n",
+       "      <td>заместитель начальника юридического отдела</td>\n",
+       "      <td>юрист</td>\n",
+       "      <td>Мужской</td>\n",
+       "      <td>2021-03-24</td>\n",
+       "      <td>&lt;p&gt;Высокая работоспособность, нацеленность на ...</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",
+       "  </tbody>\n",
+       "</table>\n",
+       "<p>3095 rows × 8 columns</p>\n",
+       "</div>"
+      ],
+      "text/plain": [
+       "       salary educationType  \\\n",
+       "0       60000        Высшее   \n",
+       "1       85000        Высшее   \n",
+       "10     100000        Высшее   \n",
+       "16     100000        Высшее   \n",
+       "28      50000        Высшее   \n",
+       "...       ...           ...   \n",
+       "32654   50000        Высшее   \n",
+       "32659   45000        Высшее   \n",
+       "32663   40000        Высшее   \n",
+       "32668   40000        Высшее   \n",
+       "32681   35000        Высшее   \n",
+       "\n",
+       "                                                jobTitle  \\\n",
+       "0                                Специалист пресс-службы   \n",
+       "1                                      менеджер проектов   \n",
+       "10                                     Начальник участка   \n",
+       "16                                  Технический директор   \n",
+       "28                   Монтажник электрических подьемников   \n",
+       "...                                                  ...   \n",
+       "32654  экономист 8 разряда в подразделение \"Сектор по...   \n",
+       "32659                                                NaN   \n",
+       "32663  Слесарь по ремонту подвижного состава 2-3 разряда   \n",
+       "32668         заместитель начальника юридического отдела   \n",
+       "32681                                                NaN   \n",
+       "\n",
+       "                                           qualification   gender  dateModify  \\\n",
+       "0                                                Магистр  Мужской  2021-04-01   \n",
+       "1                                                    NaN  Мужской  2021-04-01   \n",
+       "10                                                   NaN  Мужской  2021-04-01   \n",
+       "16                                             Экономист  Мужской  2021-04-01   \n",
+       "28                                                   NaN  Мужской  2021-04-01   \n",
+       "...                                                  ...      ...         ...   \n",
+       "32654                                  инженер-экономист  Мужской  2021-01-26   \n",
+       "32659  Инженер по организации и управлением на морско...  Мужской  2020-06-26   \n",
+       "32663                                             Техник  Мужской  2021-11-17   \n",
+       "32668                                              юрист  Мужской  2021-03-24   \n",
+       "32681                                                NaN  Мужской  2020-04-21   \n",
+       "\n",
+       "                                                  skills  \\\n",
+       "0      <p>Аналитическое&nbsp;мышление,&nbsp;<span cla...   \n",
+       "1                                                    NaN   \n",
+       "10                       <p>Коммуникабельность&nbsp;</p>   \n",
+       "16                                                   NaN   \n",
+       "28     <p>Знание программного обеспечения от ведущих ...   \n",
+       "...                                                  ...   \n",
+       "32654  <p>инициативность;</p><p>внимательность;</p><p...   \n",
+       "32659                                                NaN   \n",
+       "32663  <p>Командообразование, лидерство, опыт работы ...   \n",
+       "32668  <p>Высокая работоспособность, нацеленность на ...   \n",
+       "32681                                                NaN   \n",
+       "\n",
+       "                                               otherInfo  \n",
+       "0                                                    NaN  \n",
+       "1                                                    NaN  \n",
+       "10                                                   NaN  \n",
+       "16                                                   NaN  \n",
+       "28                                                   NaN  \n",
+       "...                                                  ...  \n",
+       "32654  <p>Знание-Бухгалтерский учет, управленческий у...  \n",
+       "32659                                                NaN  \n",
+       "32663                                                NaN  \n",
+       "32668                                                NaN  \n",
+       "32681                                                NaN  \n",
+       "\n",
+       "[3095 rows x 8 columns]"
+      ]
+     },
+     "execution_count": 204,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "male_height = data.query('gender == \"Мужской\" and educationType == \"Высшее\"')\n",
+    "male_height"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "ca279cab",
+   "metadata": {},
+   "source": [
+    "### Распределение зарплат для мужчин с высшим образованием\n"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 205,
+   "id": "032f6af5",
+   "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(male_height['salary'], \n",
+    "         bins=25) \n",
+    "plt.show()"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 206,
+   "id": "1e10bc06",
+   "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>76</th>\n",
+       "      <td>50000</td>\n",
+       "      <td>Незаконченное высшее</td>\n",
+       "      <td>менеджер по продажам</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>Мужской</td>\n",
+       "      <td>2021-09-06</td>\n",
+       "      <td>&lt;p&gt;Внимательность, ответственность, обучаемост...</td>\n",
+       "      <td>NaN</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>193</th>\n",
+       "      <td>50000</td>\n",
+       "      <td>Незаконченное высшее</td>\n",
+       "      <td>Старший специалист участка учета ТМЦ</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>Мужской</td>\n",
+       "      <td>2021-04-06</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>NaN</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>202</th>\n",
+       "      <td>50000</td>\n",
+       "      <td>Незаконченное высшее</td>\n",
+       "      <td>Мастер погрузки лесоматериала</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>Мужской</td>\n",
+       "      <td>2021-05-20</td>\n",
+       "      <td>&lt;ul&gt;&lt;li&gt;умение работать самостоятельно;&lt;/li&gt;&lt;l...</td>\n",
+       "      <td>NaN</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>203</th>\n",
+       "      <td>30000</td>\n",
+       "      <td>Незаконченное высшее</td>\n",
+       "      <td>Военнослужащий</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>Мужской</td>\n",
+       "      <td>2021-04-06</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>NaN</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>292</th>\n",
+       "      <td>100000</td>\n",
+       "      <td>Незаконченное высшее</td>\n",
+       "      <td>менеджер</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>Мужской</td>\n",
+       "      <td>2021-10-19</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>32396</th>\n",
+       "      <td>50000</td>\n",
+       "      <td>Незаконченное высшее</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>Мужской</td>\n",
+       "      <td>2020-11-08</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>NaN</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>32490</th>\n",
+       "      <td>100000</td>\n",
+       "      <td>Незаконченное высшее</td>\n",
+       "      <td>Начальник участка</td>\n",
+       "      <td>Бакалавр</td>\n",
+       "      <td>Мужской</td>\n",
+       "      <td>2019-05-16</td>\n",
+       "      <td>&lt;p&gt;Многозадачность, Контроль исполнения решени...</td>\n",
+       "      <td>NaN</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>32602</th>\n",
+       "      <td>25000</td>\n",
+       "      <td>Незаконченное высшее</td>\n",
+       "      <td>Продавец-кавист/бармен</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>Мужской</td>\n",
+       "      <td>2021-10-09</td>\n",
+       "      <td>&lt;p&gt;Стрессоустойчивость, коммуникабельность,&amp;nb...</td>\n",
+       "      <td>NaN</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>32622</th>\n",
+       "      <td>15000</td>\n",
+       "      <td>Незаконченное высшее</td>\n",
+       "      <td>Экспедитор-грузчик</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>Мужской</td>\n",
+       "      <td>2020-06-16</td>\n",
+       "      <td>&lt;p&gt;Работа с компьютером&lt;/p&gt;</td>\n",
+       "      <td>NaN</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>32645</th>\n",
+       "      <td>50000</td>\n",
+       "      <td>Незаконченное высшее</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>Мужской</td>\n",
+       "      <td>2021-10-05</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>NaN</td>\n",
+       "    </tr>\n",
+       "  </tbody>\n",
+       "</table>\n",
+       "<p>348 rows × 8 columns</p>\n",
+       "</div>"
+      ],
+      "text/plain": [
+       "       salary         educationType                              jobTitle  \\\n",
+       "76      50000  Незаконченное высшее                  менеджер по продажам   \n",
+       "193     50000  Незаконченное высшее  Старший специалист участка учета ТМЦ   \n",
+       "202     50000  Незаконченное высшее         Мастер погрузки лесоматериала   \n",
+       "203     30000  Незаконченное высшее                        Военнослужащий   \n",
+       "292    100000  Незаконченное высшее                              менеджер   \n",
+       "...       ...                   ...                                   ...   \n",
+       "32396   50000  Незаконченное высшее                                   NaN   \n",
+       "32490  100000  Незаконченное высшее                     Начальник участка   \n",
+       "32602   25000  Незаконченное высшее                Продавец-кавист/бармен   \n",
+       "32622   15000  Незаконченное высшее                    Экспедитор-грузчик   \n",
+       "32645   50000  Незаконченное высшее                                   NaN   \n",
+       "\n",
+       "      qualification   gender  dateModify  \\\n",
+       "76              NaN  Мужской  2021-09-06   \n",
+       "193             NaN  Мужской  2021-04-06   \n",
+       "202             NaN  Мужской  2021-05-20   \n",
+       "203             NaN  Мужской  2021-04-06   \n",
+       "292             NaN  Мужской  2021-10-19   \n",
+       "...             ...      ...         ...   \n",
+       "32396           NaN  Мужской  2020-11-08   \n",
+       "32490      Бакалавр  Мужской  2019-05-16   \n",
+       "32602           NaN  Мужской  2021-10-09   \n",
+       "32622           NaN  Мужской  2020-06-16   \n",
+       "32645           NaN  Мужской  2021-10-05   \n",
+       "\n",
+       "                                                  skills otherInfo  \n",
+       "76     <p>Внимательность, ответственность, обучаемост...       NaN  \n",
+       "193                                                  NaN       NaN  \n",
+       "202    <ul><li>умение работать самостоятельно;</li><l...       NaN  \n",
+       "203                                                  NaN       NaN  \n",
+       "292                                                  NaN       NaN  \n",
+       "...                                                  ...       ...  \n",
+       "32396                                                NaN       NaN  \n",
+       "32490  <p>Многозадачность, Контроль исполнения решени...       NaN  \n",
+       "32602  <p>Стрессоустойчивость, коммуникабельность,&nb...       NaN  \n",
+       "32622                        <p>Работа с компьютером</p>       NaN  \n",
+       "32645                                                NaN       NaN  \n",
+       "\n",
+       "[348 rows x 8 columns]"
+      ]
+     },
+     "execution_count": 206,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "male_without_height = data.query('gender == \"Мужской\" and educationType == \"Незаконченное высшее\"')\n",
+    "male_without_height"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "51da6a76",
+   "metadata": {},
+   "source": [
+    " ### Распределение зарплат для мужчин с неоконченным высшим образованием\n",
+    " "
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 207,
+   "id": "bdc9645f",
+   "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(male_without_height['salary'], \n",
+    "         color = 'r',\n",
+    "         bins=25) \n",
+    "plt.show()"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 208,
+   "id": "a25f05b3",
+   "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>12</th>\n",
+       "      <td>25000</td>\n",
+       "      <td>Среднее</td>\n",
+       "      <td>NaN</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>24</th>\n",
+       "      <td>100000</td>\n",
+       "      <td>Среднее</td>\n",
+       "      <td>Машинист буровой установки</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>Мужской</td>\n",
+       "      <td>2021-04-01</td>\n",
+       "      <td>&lt;p&gt;Коммуникабельность, пунктуальность&lt;/p&gt;</td>\n",
+       "      <td>NaN</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>51</th>\n",
+       "      <td>15000</td>\n",
+       "      <td>Среднее</td>\n",
+       "      <td>NaN</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>88</th>\n",
+       "      <td>95000</td>\n",
+       "      <td>Среднее</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>Лесное хозяйство</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>89</th>\n",
+       "      <td>20000</td>\n",
+       "      <td>Среднее</td>\n",
+       "      <td>менеджер по погрузке и транспортировке товара</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>Мужской</td>\n",
+       "      <td>2021-04-10</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>32649</th>\n",
+       "      <td>24000</td>\n",
+       "      <td>Среднее</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>водитель</td>\n",
+       "      <td>Мужской</td>\n",
+       "      <td>2021-04-11</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>NaN</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>32651</th>\n",
+       "      <td>25000</td>\n",
+       "      <td>Среднее</td>\n",
+       "      <td>Водитель</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>Мужской</td>\n",
+       "      <td>2021-03-18</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>NaN</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>32658</th>\n",
+       "      <td>20000</td>\n",
+       "      <td>Среднее</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>Мужской</td>\n",
+       "      <td>2021-05-12</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>NaN</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>32671</th>\n",
+       "      <td>20467</td>\n",
+       "      <td>Среднее</td>\n",
+       "      <td>контролер-стажёр</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>Мужской</td>\n",
+       "      <td>2021-06-08</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>NaN</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>32672</th>\n",
+       "      <td>25000</td>\n",
+       "      <td>Среднее</td>\n",
+       "      <td>комплектовщик</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>Мужской</td>\n",
+       "      <td>2021-06-15</td>\n",
+       "      <td>&lt;p&gt;исполнительный&lt;/p&gt;</td>\n",
+       "      <td>NaN</td>\n",
+       "    </tr>\n",
+       "  </tbody>\n",
+       "</table>\n",
+       "<p>2979 rows × 8 columns</p>\n",
+       "</div>"
+      ],
+      "text/plain": [
+       "       salary educationType                                       jobTitle  \\\n",
+       "12      25000       Среднее                                            NaN   \n",
+       "24     100000       Среднее                     Машинист буровой установки   \n",
+       "51      15000       Среднее                                            NaN   \n",
+       "88      95000       Среднее                                            NaN   \n",
+       "89      20000       Среднее  менеджер по погрузке и транспортировке товара   \n",
+       "...       ...           ...                                            ...   \n",
+       "32649   24000       Среднее                                            NaN   \n",
+       "32651   25000       Среднее                                       Водитель   \n",
+       "32658   20000       Среднее                                            NaN   \n",
+       "32671   20467       Среднее                               контролер-стажёр   \n",
+       "32672   25000       Среднее                                  комплектовщик   \n",
+       "\n",
+       "          qualification   gender  dateModify  \\\n",
+       "12                  NaN  Мужской  2021-04-01   \n",
+       "24                  NaN  Мужской  2021-04-01   \n",
+       "51                  NaN  Мужской  2021-04-01   \n",
+       "88     Лесное хозяйство  Мужской  2021-04-01   \n",
+       "89                  NaN  Мужской  2021-04-10   \n",
+       "...                 ...      ...         ...   \n",
+       "32649          водитель  Мужской  2021-04-11   \n",
+       "32651               NaN  Мужской  2021-03-18   \n",
+       "32658               NaN  Мужской  2021-05-12   \n",
+       "32671               NaN  Мужской  2021-06-08   \n",
+       "32672               NaN  Мужской  2021-06-15   \n",
+       "\n",
+       "                                          skills otherInfo  \n",
+       "12                                           NaN       NaN  \n",
+       "24     <p>Коммуникабельность, пунктуальность</p>       NaN  \n",
+       "51                                           NaN       NaN  \n",
+       "88                                           NaN       NaN  \n",
+       "89                                           NaN       NaN  \n",
+       "...                                          ...       ...  \n",
+       "32649                                        NaN       NaN  \n",
+       "32651                                        NaN       NaN  \n",
+       "32658                                        NaN       NaN  \n",
+       "32671                                        NaN       NaN  \n",
+       "32672                      <p>исполнительный</p>       NaN  \n",
+       "\n",
+       "[2979 rows x 8 columns]"
+      ]
+     },
+     "execution_count": 208,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "male_average = data.query('gender == \"Мужской\" and educationType == \"Среднее\"')\n",
+    "male_average"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "6260a6b9",
+   "metadata": {},
+   "source": [
+    "### Распределение зарплат для мужчин со средним образованием"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 209,
+   "id": "d5078c24",
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "image/png": 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DszJHrd3z76HAxM2HX5rkx0mOTLJxK9uc7ubBEy5vZZu3x5PLJUmSVmtjP+szyXrA8cArq+q6JIcB7wCq/T4E+Ae6W45MVtOUD9vXvnRDpCxYsIAlS5bc4fins2zZsrHvQzNnu/SPbdI/tkk/2S79M9dtMtZELcnadEnaZ6rqBICqumpg+ceAk9rTy4EtBjZfCFzRyhcOKb+NqjocOBxg0aJFNe7TaT2Nup9sl/6xTfrHNukn26V/5rpNxnnWZ4CPAxdU1fsGyjcbWO2ZwE/a4xOBPZKsk2QrYBvgjKpaClyfZMdW517Al8YVtyRJUl+Ms0ft0cDzgXOTnNPK3gDsmWQ7uuHLS4D9AKrqvCTHAefTnTG6fzvjE+AlwFHAunRne3rGpyRJWu2NLVGrqu8yfH7ZV6fZ5iDgoCHlZwIPXHnRSZIk9Z93JpAkSeqp1fZen7PhrKVnsdPbd1pp9dVbh57MKkmS5il71CRJknrKRE2SJKmnTNQkSZJ6ykRNkiSpp0zUJEmSespETZIkqadM1CRJknrKRE2SJKmnTNQkSZJ6ykRNkiSpp0zUJEmSespETZIkqadM1CRJknrKRE2SJKmnTNQkSZJ6ykRNkiSpp0zUJEmSespETZIkqadM1CRJknrKRE2SJKmnTNQkSZJ6ykRNkiSpp0zUJEmSespETZIkqadM1CRJknrKRE2SJKmnTNQkSZJ6ykRNkiSpp0zUJEmSespETZIkqadM1CRJknrKRE2SJKmnTNQkSZJ6ykRNkiSpp0zUJEmSespETZIkqadM1CRJknrKRE2SJKmnTNQkSZJ6ykRNkiSpp0zUJEmSespETZIkqafGlqgl2SLJt5NckOS8JK9o5ZskOTnJz9rvjQe2OTDJRUkuTPLkgfKHJTm3LftAkowrbkmSpL4YZ4/aTcBrquqvgR2B/ZPcH3g9cEpVbQOc0p7Tlu0BPADYGTg0yZqtrsOAfYFt2s/OY4xbkiSpF8aWqFXV0qo6uz2+HrgA2BzYFTi6rXY0sFt7vCtwbFXdWFUXAxcBOyTZDNigqr5fVQV8cmAbSZKk1daszFFLsiXwUOB0YEFVLYUumQPu3lbbHLhsYLPLW9nm7fHkckmSpNXaWuPeQZL1gOOBV1bVddNMLxu2oKYpH7avfemGSFmwYAFLliyZcbwzsXCdhRy87cErrb5xxztfLFu2zGPZM7ZJ/9gm/WS79M9ct8lYE7Uka9MlaZ+pqhNa8VVJNquqpW1Y8+pWfjmwxcDmC4ErWvnCIeW3UVWHA4cDLFq0qBYvXryyXspQhxxzCAf89ICVVl/tOTT/1AwtWbKEcbe9ZsY26R/bpJ9sl/6Z6zYZ51mfAT4OXFBV7xtYdCLwgvb4BcCXBsr3SLJOkq3oTho4ow2PXp9kx1bnXgPbSJIkrbbG2aP2aOD5wLlJzmllbwDeAxyX5IXApcDuAFV1XpLjgPPpzhjdv6pubtu9BDgKWBf4WvuRJElarY0tUauq7zJ8fhnAE6fY5iDgoCHlZwIPXHnRSZIk9Z93JpAkSeopEzVJkqSeMlGTJEnqKRM1SZKknjJRkyRJ6ikTNUmSpJ4yUZMkSeopEzVJkqSeMlGTJEnqKRM1SZKknjJRkyRJ6ikTNUmSpJ4yUZMkSeopEzVJkqSeMlGTJEnqKRM1SZKknjJRkyRJ6ikTNUmSpJ4yUZMkSeopEzVJkqSeWmtFKyS5HihgXeAPQICqqg3GHJskSdK8tsJErarWB0jyw6p66PhDkiRJEsxs6LPGFoUkSZJuY5Shz+3bw3WTPJRu6JOqOnucgUmSJM13K0zUgEPa7yuB97XHBTxhLBFJkiQJGG2O2k6zEYgkSZKWN8rQ56uHlVfV+4aVS5IkaeUYZejzLcAlwBfGG4okSZIGjZKo3Qc4EHgi8C9V9a3xhiRJkiQY4fIcVXVtVb0W2APYPcnXkzx8/KFJkiTNb6PMUfsyf7mGWoB7AacBa44xLkmSpHlvlKHPg8cehSRJkm5jlMtznDobgUiSJGl5M7kp+61FeFN2SZKksRvlZIL1q2qDlpj9fOL5LMQmSZI0r83kpuww2pw2SZIkrQSjDH1+sD18CHD6eMORJEnShFF6yM4EbgFOAJaMNRpJkiTdapRE7diqunGwIMljquq7Y4pJkiRJjDZH7ZtJ7gaQZNMkRwFvGGtUkiRJGilReyPw9SQHAqcAX6mqp443LEmSJI1ywdvvJnk2cBLdTdn/c/xhSZIkaZSzPs+lu+DtXYBPJ3kjQFU9eMyxSZIkzWujnEzwdGBt4IPAV4B/G2tEkiRJAkabo/Zb4EPAhu3nf6vqlyvaKMmRSa5O8pOBsrcl+VWSc9rPUweWHZjkoiQXJnnyQPnDkpzbln0gSWb0CiVJklZRoyRq3wI+UFWPAr4AnJJk/xG2OwrYeUj5v1fVdu3nqwBJ7g/sATygbXNokjXb+ocB+wLbtJ9hdUqSJK12RknUXjyRUFXVCcAjgXutaKOq+g5w7Yhx7Eq7XltVXQxcBOyQZDNgg6r6flUV8ElgtxHrlCRJWqWNkqg9NsnGE0+q6oaqet0d2OdLk/y4DY1O1Ls5cNnAOpe3ss3b48nlkiRJq71RTia4B/CDJGcDRwLfaL1bt8dhwDvoziJ9B3AI8A/AsHlnNU35UEn2pRsmZcGCBSxZsuR2hjmahess5OBtD15p9Y073vli2bJlHsuesU36xzbpJ9ulf+a6TUa5jtqbkrwZ+FtgH+BDSY4DPl5VP5/JzqrqqonHST5Gd2026HrKthhYdSFwRStfOKR8qvoPBw4HWLRoUS1evHgm4c3YIcccwgE/PWCl1Vd73t78V4OWLFnCuNteM2Ob9I9t0k+2S//MdZuMMvRJ60G7sv3cBGwMfD7Je2eyszbnbMIzgYkzQk8E9kiyTpKt6E4aOKOqlgLXJ9mxne25F/ClmexTkiRpVTXKBW9fDrwAuAY4AnhtVf05yRrAz4B/nmK7Y4DFwKZJLgfeCixOsh3d8OUlwH4AVXVe66U7ny4R3L+qbm5VvYTuDNJ1ga+1H0mSpNXeKHPUNgWeNfnaaVV1S5KnT7VRVe05pPjj06x/EHDQkPIzgQeOEKckSdJqZZRE7QiAJMtdkqOqLq2qC8YSlSRJkkZK1C6hG+K8sT0P3dCl9/qUJEkao1EStf2BXeiStSOr6pyxRiRJkiRghLM+q+qwqnoK8FHgFUm+Mv6wJEmSNMpZnwGeTHdpjLWBD487KEmSJI029Hkp3YVnP0V3HbU7J3lWu++nJEmSxmSURO0UupMHHj5QVoCJmiRJ0hiNcgupvWchDkmSJE0y0i2kJEmSNPtM1CRJknrKRE2SJKmnVpioJdkwyb8nObP9HJJkw9kITpIkaT4bpUftSOA64Dnt5zrgE+MMSpIkSaNdnmPrqvq/A8/fnuScMcUjSZKkZpQetT8keczEkySPBv4wvpAkSZIEo/WovQQ4us1LC3AtsPc4g5IkSdJoF7w9B3hIkg3a8+vGHZQkSZJGO+vz/kleCqwL/FuSzyd56PhDkyRJmt9GmaP2WeB+wOnAGcBxwBHjDEqSJEmjJWprVNXLgD9V1cer6rgRt5MkSdIdMMrJBOsleRawVpJn0iVpG4w3LEmSJI2SqJ0KPKP93qWVfWdsEUmSJAkYLVH7YFWdPfZIJEmStJxR5pp54oAkSdIcGKVHba0kG9Nd7PZWVXXteEKSJEkSjJao3Q84i+UTtQLuM5aIJEmSBIyWqJ1fVV7gVpIkaZZ5PTRJkqSeGiVRe+TYo5AkSdJtjJKofTnJRhNPkmyc5BvjC0mSJEkwWqJ2t6r63cSTqvotcPexRSRJkiRgtETt5iT3mniS5N50Z31KkiRpjEY56/ONwHeTnNqePw7Yd3whSZIkCUZI1Krq60m2B3aku5baq6rqmrFHJkmSNM+tcOgzSYCdge2r6svAXZLsMPbIJEmS5rlR5qgdSneJjj3b8+uBD48tIkmSJAGjzVF7RFVtn+SH0J31meROY45LkiRp3hulR+3PSdaknemZ5G7ALWONSpIkSSMlah8AvgDcPclBwHeBd401KkmSJI101udnkpwFPJHurM/dquqCsUcmSZI0z60wUUuyCXA1cMxgWVVdO87AJEmS5rtRTiY4i25+WoDNgKXt+X3GGJckSdK8N8rQ51YTj5P8sKoeOt6QJEmSBKOdTABAuySHl+WQJEmaJaPcmeDLSb4MnA8cP2rFSY5McnWSnwyUbZLk5CQ/a783Hlh2YJKLklyY5MkD5Q9Lcm5b9oF2pwRJkqTV3ig9agcD7wX+pqreMoO6j6K79dSg1wOnVNU2wCntOUnuD+wBPKBtc2i7dhvAYXQ3gd+m/UyuU5IkabU0SqJ2LnAe8PvWI7ZJOxN0WlX1HWDymaG7Ake3x0cDuw2UH1tVN1bVxcBFwA5JNgM2qKrvV1UBnxzYRpIkabU2ylmf1wBXAX+gO/MTbv9ZnwuqailAVS1NcvdWvjlw2sB6l7eyP7fHk8slSZJWe6MkavsC+9ENZX60qm4aQxzD5p3VNOXDK0n2pYuXBQsWsGTJkpUS3FQWrrOQg7c9eKXVN+5454tly5Z5LHvGNukf26SfbJf+mes2GeXyHEck+RSwP/C9JP9RVZ+5nfu7KslmrTdtM7oL6ULXU7bFwHoLgSta+cIh5VPFejhwOMCiRYtq8eLFtzPM0RxyzCEc8NMDVlp9teeUOahmYMmSJYy77TUztkn/2Cb9ZLv0z1y3yShnfT4LeBpwCd3E/tcl+dHt3N+JwAva4xcAXxoo3yPJOkm2ojtp4Iw2THp9kh3b2Z57DWwjSZK0Whtl6PMZk56fNUrFSY4BFgObJrkceCvwHuC4JC8ELgV2B6iq85IcR3cJkJuA/avq5lbVS+iGXdcFvtZ+JEmSVnujDH3uc3sqrqo9p1j0xCnWPwg4aEj5mcADb08MkiRJq7JRbsp+4rDyqtpl5YcjSZKkCaMMff418KJxByJJkqTljZKoXV9Vp449EkmSJC1nlDsTPCTJ75JcmeTsJB9MsunYI5MkSZrnVpioVdWawCbA1sDfAVfyl9tASZIkaUxG6VGjqm6pqhuq6mft7MyvjzkuSZKkeW+UOWok2QV4XHt6alV9cHwhSZIkCUa7M8G7gVfQXYz2fODlrUySJEljNEqP2tOA7arqFoAkRwM/BA4cZ2CSJEnz3Uhz1ICNBh5vOIY4JEmSNMkoPWrvBn6Y5NtA6OaqvWGsUUmSJGmke30ek2QJ8HC6RO11VXXluAOTJEma76Yc+kzytInHVbW0qk6sqi8BNyTxrE9JkqQxm26O2n8keeFgQZLnAj8Grh5rVJIkSZp26POxwFeSbA4cCxwK/Al4UlX9fDaCkyRJms+m7FGrqqXA4+kSth8DR1TVU03SJEmSZse0l+eoquuBpwDHAc9NcudZiUqSJElTD30muR6oiafAXYFrk9wMVFVtMAvxSZIkzVtTJmpVtf5sBiJJkqTljXpnAkmSJM0yEzVJkqSeMlGTJEnqKRM1SZKknjJRkyRJ6ikTNUmSpJ4yUZMkSeopEzVJkqSeMlGTJEnqKRM1SZKknjJRkyRJ6ikTNUmSpJ4yUZMkSeopEzVJkqSeMlGTJEnqKRM1SZKknjJRkyRJ6ikTNUmSpJ4yUZMkSeopEzVJkqSeMlGTJEnqKRM1SZKknjJRkyRJ6ikTNUmSpJ4yUZMkSeqpOUnUklyS5Nwk5yQ5s5VtkuTkJD9rvzceWP/AJBcluTDJk+ciZkmSpNk2lz1qO1XVdlW1qD1/PXBKVW0DnNKek+T+wB7AA4CdgUOTrDkXAUuSJM2mPg197goc3R4fDew2UH5sVd1YVRcDFwE7zH54kiRJs2uuErUCvpnkrCT7trIFVbUUoP2+eyvfHLhsYNvLW5kkSdJqba052u+jq+qKJHcHTk7yP9OsmyFlNXTFLunbF2DBggUsWbLkDgc6nYXrLOTgbQ9eafWNO975YtmyZR7LnrFN+sc26SfbpX/muk3mJFGrqiva76uTfIFuKPOqJJtV1dIkmwFXt9UvB7YY2HwhcMUU9R4OHA6waNGiWrx48ZheQeeQYw7hgJ8esNLqqz2H5p+aoSVLljDuttfM2Cb9Y5v0k+3SP3PdJrM+9JnkrknWn3gM/C3wE+BE4AVttRcAX2qPTwT2SLJOkq2AbYAzZjdqSZKk2TcXPWoLgC8kmdj/Z6vq60l+AByX5IXApcDuAFV1XpLjgPOBm4D9q+rmOYhbkiRpVs16olZVvwAeMqT8N8ATp9jmIOCgMYc25/L2YdPx7ph6q8OpkiStqvp0eQ5JkiQNMFGTJEnqKRM1SZKknjJRkyRJ6ikTNUmSpJ4yUZMkSeopEzVJkqSeMlGTJEnqKRM1SZKknjJRkyRJ6ikTNUmSpJ4yUZMkSeopEzVJkqSeMlGTJEnqKRM1SZKknjJRkyRJ6ikTNUmSpJ4yUZMkSeopEzVJkqSeMlGTJEnqKRM1SZKknjJRkyRJ6ikTNUmSpJ4yUZMkSeopEzVJkqSeMlGTJEnqKRM1SZKknjJRkyRJ6ikTNUmSpJ4yUZMkSeopEzVJkqSeMlGTJEnqKRM1SZKknjJRkyRJ6ikTNUmSpJ4yUZMkSeopEzVJkqSeMlGTJEnqKRM1SZKknjJRkyRJ6ikTNUmSpJ4yUZMkSeqpteY6AI1X3p6VWl+9tVZqfZIkaWr2qEmSJPXUKpOoJdk5yYVJLkry+rmOR5IkadxWiUQtyZrAh4GnAPcH9kxy/7mNSpIkabxWiUQN2AG4qKp+UVV/Ao4Fdp3jmCRJksZqVTmZYHPgsoHnlwOPmKNY5rWVfXLCOHz78d+e6xAkSVopVpVEbVh2cJvTD5PsC+zbni5LcuFYo4JNgWvGvA/N0E7sZLv0j23SP7ZJP9ku/TNbbXLvYYWrSqJ2ObDFwPOFwBWTV6qqw4HDZyuoJGdW1aLZ2p9GY7v0j23SP7ZJP9ku/TPXbbKqzFH7AbBNkq2S3AnYAzhxjmOSJEkaq1WiR62qbkryUuAbwJrAkVV13hyHJUmSNFarRKIGUFVfBb4613FMMmvDrJoR26V/bJP+sU36yXbpnzltk1R5SyBJkqQ+WlXmqEmSJM07JmojWNHtq9L5QFv+4yTbz0Wc88kIbfK81hY/TvK9JA+Zizjnm1Fv9Zbk4UluTvLs2YxvPhqlTZIsTnJOkvOSnDrbMc5HI3yGbZjky0l+1Npln7mIc75IcmSSq5P8ZIrlc/Y9b6K2AiPevuopwDbtZ1/gsFkNcp4ZsU0uBh5fVQ8G3oHzPsZu1Fu9tfX+le7kII3RKG2SZCPgUGCXqnoAsPtsxznfjPi3sj9wflU9BFgMHNKueqDxOArYeZrlc/Y9b6K2YqPcvmpX4JPVOQ3YKMlmsx3oPLLCNqmq71XVb9vT0+iuvafxGvVWby8Djgeuns3g5qlR2uS5wAlVdSlAVdku4zdKuxSwfpIA6wHXAjfNbpjzR1V9h+4YT2XOvudN1FZs2O2rNr8d62jlmenxfiHwtbFGJBihXZJsDjwT+MgsxjWfjfK3si2wcZIlSc5KstesRTd/jdIuHwL+mu7i7ucCr6iqW2YnPA0xZ9/zq8zlOebQKLevGukWV1ppRj7eSXaiS9QeM9aIBKO1y/uB11XVzV1HgcZslDZZC3gY8ERgXeD7SU6rqp+OO7h5bJR2eTJwDvAEYGvg5CT/XVXXjTk2DTdn3/Mmais2yu2rRrrFlVaakY53kgcDRwBPqarfzFJs89ko7bIIOLYlaZsCT01yU1V9cVYinH9G/fy6pqpuAG5I8h3gIYCJ2viM0i77AO+p7hpaFyW5GPgr4IzZCVGTzNn3vEOfKzbK7atOBPZqZ4XsCPy+qpbOdqDzyArbJMm9gBOA59szMGtW2C5VtVVVbVlVWwKfB/7JJG2sRvn8+hLw2CRrJbkL8AjgglmOc74ZpV0upevlJMkC4H7AL2Y1Sg2as+95e9RWYKrbVyX5x7b8I3R3THgqcBHwv3T/CWlMRmyTtwD/Bzi09d7c5I2Ox2vEdtEsGqVNquqCJF8HfgzcAhxRVUMvUaCVY8S/lXcARyU5l27Y7XVVdc2cBb2aS3IM3dm1mya5HHgrsDbM/fe8dyaQJEnqKYc+JUmSespETZIkqadM1CRJknrKRE2SJKmnTNQkSZJupxXd0H3I+s9Jcn6S85J8doXre9anpNmW5K+Ao+kuO3An4CzgZVX1v3MamCTNUJLHAcvo7gX6wBWsuw1wHPCEqvptkruv6P669qhJmgtLgSdX1Q5VtR1wHfDKOY1Ikm6HYTd0T7J1kq+3++f+d/vnFODFwIer6rdt22mTNDBRkzQHqur3VfU7gCRrAHcGJp6/OMkPkvwoyfHtavkkOSrJR9qH3k+TPL2V753k10nOaT+/TrL3xL6SXJLk3DbU8JNWtkOS7yX5Yft9v1b+7VbHsiQXtse7TLX+oCSLk1SSndvzjZP8Icnb2of22QPrbtM+wNdOcnKSp7XyJUkWJVm3vc5Ht/JlA9seleTZA69t0/b40wOvb+8kHxrY5kODx0TS2B1ON0rwMOAA4NBWvi2wbZL/l+S0ic+L6XhnAklzIsm6wPfp7p93IfDytuiEqvpYW+edwAuBD7ZlWwKPp7tJ9beT3LeVf66qXtq2uTVBadZs22wAnNTK/gd4XLtC/JOAdwH/t6p2anUsAQ6oqjPb8w2GrT/kZZ0N7AV8HXgu8COAqvp5kt8n2a6qzqG7qvlRVfXnJM8BvpnksolDA3wS+GhV/b8VH0lI8iBg2iEXSbMjyXrAo4D/bHfGAVin/V4L2IbuLggLgf9O8sCJf1yHMVGTNCeq6g/AdknWokvE3gi8DXhgS9A2Ataju83OhOOq6hbgZ0l+QXeT6hVZF/gjXaI2YUPg6DZfpGi3ipnGqOsvBdZJsgmwC939Ae/Ulh0B7JPk1cDfATsAtHkqR9AlkdfT3TpoK+A5A/Vem2Tbae5b+066W94cNFD2d0ke0x5vDpy5gtcoaeVYA/hdm9Yx2eXAaVX1Z+DiJBfSJW4/mK4ySZozVXUTcCzw8FZ0FPDSqnoQ8Ha6YdFbV5+8+XR1J7kzsMaQkxTeAXy7Tfx9xqR9DDOT9T8LvIeul/BPA+XHA08Bng6cVVW/aTGuD7yUbo7efemGgL8JvGhg21cCJyQ5hy4BHPQouonMP5pU/rmq2q59WXxuBa9P0kpSVdfRJWG7A6TzkLb4i8BEz/2mdEOhv5iuPhM1SbOuzdG6V3scuuTjjLZ4fWBpkrWB503adPckayTZGrgPXTI0nWfTDa9OtiHwq/Z47xFCnsn6Xwa2B44cLKyqP9L1Dh4GfGJg0duBQ6vqhBbrwXS9i6+YmH9WVSdU1QNb0nXipP29DXjLCK9B0hiku6H794H7Jbk8yQvpPrtemORHwHnArm31bwC/SXI+8G3gtRP/tE3FoU9Jc2E94DNJJoYFTwXe3R6/GTgd+CVwLl3iNuHCtu4C4B+r6o8Dc0CWk+SZwEsYnli9l24o89XAf40Q78jrV9WfgEUthidNWvwZ4Fl0PWYTc8seSTfZeLCO65K8C/hXujl60zm9zYHbcoTXIWklq6o9p1h0mxMFqrsm2qvbz0i8jpqkVUKSo4CTqurzcx3L7ZXkAGDDqnrzXMciadVgj5okzYIkX6A7W/UJcx2LpFWHPWqSJEk95ckEkiRJPWWiJkmS1FMmapIkST1loiZJktRTJmqSJEk9ZaImSZLUU/8fZhGnmF1k47gAAAAASUVORK5CYII=\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 со средним') \n",
+    "plt.xlabel('Зарплата мужчин') \n",
+    "plt.ylabel('Количество мужчин') \n",
+    "plt.grid() \n",
+    "\n",
+    "plt.hist(male_average['salary'],\n",
+    "         color ='green',\n",
+    "         bins=25) \n",
+    "plt.show()"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 210,
+   "id": "57e9c750",
+   "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>9</th>\n",
+       "      <td>20000</td>\n",
+       "      <td>Среднее профессиональное</td>\n",
+       "      <td>Рядовой колхозник</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>Мужской</td>\n",
+       "      <td>2021-11-05</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>NaN</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>17</th>\n",
+       "      <td>35000</td>\n",
+       "      <td>Среднее профессиональное</td>\n",
+       "      <td>Рабочий по комплексно му обслуживанию и ремонт...</td>\n",
+       "      <td>Техник</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>23</th>\n",
+       "      <td>30000</td>\n",
+       "      <td>Среднее профессиональное</td>\n",
+       "      <td>Матрос</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>27</th>\n",
+       "      <td>70000</td>\n",
+       "      <td>Среднее профессиональное</td>\n",
+       "      <td>3-й механик</td>\n",
+       "      <td>техник-судомеханик</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>29</th>\n",
+       "      <td>11200</td>\n",
+       "      <td>Среднее профессиональное</td>\n",
+       "      <td>NaN</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>...</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>32618</th>\n",
+       "      <td>45000</td>\n",
+       "      <td>Среднее профессиональное</td>\n",
+       "      <td>проходчик 5 разряда на подземном участке</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>Мужской</td>\n",
+       "      <td>2021-05-19</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>NaN</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>32667</th>\n",
+       "      <td>18000</td>\n",
+       "      <td>Среднее профессиональное</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>Мужской</td>\n",
+       "      <td>2021-10-27</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>NaN</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>32674</th>\n",
+       "      <td>80000</td>\n",
+       "      <td>Среднее профессиональное</td>\n",
+       "      <td>Руководитель группы логистики</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>Мужской</td>\n",
+       "      <td>2021-05-07</td>\n",
+       "      <td>&lt;p&gt;Нацелен на результат. Считаю себя командным...</td>\n",
+       "      <td>NaN</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>32675</th>\n",
+       "      <td>40000</td>\n",
+       "      <td>Среднее профессиональное</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>повар</td>\n",
+       "      <td>Мужской</td>\n",
+       "      <td>2021-11-24</td>\n",
+       "      <td>&lt;p&gt;трудоспособен&lt;/p&gt;</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",
+       "  </tbody>\n",
+       "</table>\n",
+       "<p>3522 rows × 8 columns</p>\n",
+       "</div>"
+      ],
+      "text/plain": [
+       "       salary             educationType  \\\n",
+       "9       20000  Среднее профессиональное   \n",
+       "17      35000  Среднее профессиональное   \n",
+       "23      30000  Среднее профессиональное   \n",
+       "27      70000  Среднее профессиональное   \n",
+       "29      11200  Среднее профессиональное   \n",
+       "...       ...                       ...   \n",
+       "32618   45000  Среднее профессиональное   \n",
+       "32667   18000  Среднее профессиональное   \n",
+       "32674   80000  Среднее профессиональное   \n",
+       "32675   40000  Среднее профессиональное   \n",
+       "32680   16000  Среднее профессиональное   \n",
+       "\n",
+       "                                                jobTitle       qualification  \\\n",
+       "9                                      Рядовой колхозник                 NaN   \n",
+       "17     Рабочий по комплексно му обслуживанию и ремонт...              Техник   \n",
+       "23                                                Матрос                 NaN   \n",
+       "27                                           3-й механик  техник-судомеханик   \n",
+       "29                                                   NaN                 NaN   \n",
+       "...                                                  ...                 ...   \n",
+       "32618           проходчик 5 разряда на подземном участке                 NaN   \n",
+       "32667                                                NaN                 NaN   \n",
+       "32674                      Руководитель группы логистики                 NaN   \n",
+       "32675                                                NaN               повар   \n",
+       "32680                         кочегар машинист котельной                 NaN   \n",
+       "\n",
+       "        gender  dateModify                                             skills  \\\n",
+       "9      Мужской  2021-11-05                                                NaN   \n",
+       "17     Мужской  2021-04-01                                                NaN   \n",
+       "23     Мужской  2021-04-01                                                NaN   \n",
+       "27     Мужской  2021-04-01                                                NaN   \n",
+       "29     Мужской  2021-04-01                                                NaN   \n",
+       "...        ...         ...                                                ...   \n",
+       "32618  Мужской  2021-05-19                                                NaN   \n",
+       "32667  Мужской  2021-10-27                                                NaN   \n",
+       "32674  Мужской  2021-05-07  <p>Нацелен на результат. Считаю себя командным...   \n",
+       "32675  Мужской  2021-11-24                               <p>трудоспособен</p>   \n",
+       "32680  Мужской  2021-11-11                                                NaN   \n",
+       "\n",
+       "      otherInfo  \n",
+       "9           NaN  \n",
+       "17          NaN  \n",
+       "23          NaN  \n",
+       "27          NaN  \n",
+       "29          NaN  \n",
+       "...         ...  \n",
+       "32618       NaN  \n",
+       "32667       NaN  \n",
+       "32674       NaN  \n",
+       "32675       NaN  \n",
+       "32680       NaN  \n",
+       "\n",
+       "[3522 rows x 8 columns]"
+      ]
+     },
+     "execution_count": 210,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "male_average_pr = data.query('gender == \"Мужской\" and educationType == \"Среднее профессиональное\"')\n",
+    "male_average_pr"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "6014dfd9",
+   "metadata": {},
+   "source": [
+    "### Распределение зарплат для мужчин со среднее профессиональным образованием"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 211,
+   "id": "c4e601c9",
+   "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 со среднепрофессиональным образованием') \n",
+    "plt.xlabel('Зарплата мужчин') \n",
+    "plt.ylabel('Количество мужчин') \n",
+    "plt.grid() \n",
+    "\n",
+    "plt.hist(male_average_pr['salary'], \n",
+    "         color = 'y',\n",
+    "         bins=25) \n",
+    "plt.show()"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "40576724",
+   "metadata": {},
+   "source": [
+    "### Построение графиков распределения заработной платы для женщин"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 212,
+   "id": "d60bd458",
+   "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>8</th>\n",
+       "      <td>40000</td>\n",
+       "      <td>Высшее</td>\n",
+       "      <td>Социальный работник</td>\n",
+       "      <td>Преподователь дошкольной педагогики и психологии</td>\n",
+       "      <td>Женский</td>\n",
+       "      <td>2021-10-05</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>NaN</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>19</th>\n",
+       "      <td>40000</td>\n",
+       "      <td>Высшее</td>\n",
+       "      <td>бухгалтер, экономист</td>\n",
+       "      <td>Экономист-организатор с.-х. производства</td>\n",
+       "      <td>Женский</td>\n",
+       "      <td>2021-07-02</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>NaN</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>21</th>\n",
+       "      <td>30000</td>\n",
+       "      <td>Высшее</td>\n",
+       "      <td>Специалист 1 разряда</td>\n",
+       "      <td>Магистр</td>\n",
+       "      <td>Женский</td>\n",
+       "      <td>2021-09-04</td>\n",
+       "      <td>&lt;p&gt;Усидчивость, умение удерживать в памяти нуж...</td>\n",
+       "      <td>NaN</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>22</th>\n",
+       "      <td>25000</td>\n",
+       "      <td>Высшее</td>\n",
+       "      <td>Начальник отдела социальных выплат</td>\n",
+       "      <td>Экономика и менеджмент в сфере управления перс...</td>\n",
+       "      <td>Женский</td>\n",
+       "      <td>2021-09-29</td>\n",
+       "      <td>&lt;p&gt;Владение&amp;nbsp;ПК:&amp;nbsp;MsOffice,&amp;nbsp;1С:ЗУ...</td>\n",
+       "      <td>NaN</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>31</th>\n",
+       "      <td>25000</td>\n",
+       "      <td>Высшее</td>\n",
+       "      <td>Офис-менеджер</td>\n",
+       "      <td>Бакалавр</td>\n",
+       "      <td>Женский</td>\n",
+       "      <td>2021-10-01</td>\n",
+       "      <td>&lt;p&gt;Коммуникабельность, находить индивидуальный...</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>32640</th>\n",
+       "      <td>50000</td>\n",
+       "      <td>Высшее</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>Учитель русского языка и литературы</td>\n",
+       "      <td>Женский</td>\n",
+       "      <td>2021-05-20</td>\n",
+       "      <td>&lt;p&gt;&lt;em&gt;&lt;/em&gt;Активная, обучаемая&lt;/p&gt;</td>\n",
+       "      <td>NaN</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>32652</th>\n",
+       "      <td>60000</td>\n",
+       "      <td>Высшее</td>\n",
+       "      <td>Руководитель группы</td>\n",
+       "      <td>бакалавр</td>\n",
+       "      <td>Женский</td>\n",
+       "      <td>2021-01-29</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>NaN</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>32655</th>\n",
+       "      <td>12300</td>\n",
+       "      <td>Высшее</td>\n",
+       "      <td>учитель</td>\n",
+       "      <td>филолог-преподаватель русского языка и литерат...</td>\n",
+       "      <td>Женский</td>\n",
+       "      <td>2021-02-09</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>NaN</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>32656</th>\n",
+       "      <td>30000</td>\n",
+       "      <td>Высшее</td>\n",
+       "      <td>Менеджер</td>\n",
+       "      <td>Экономист</td>\n",
+       "      <td>Женский</td>\n",
+       "      <td>2020-01-28</td>\n",
+       "      <td>&lt;p&gt;Исполнительная, &amp;nbsp;коммуникабельная&amp;nbsp...</td>\n",
+       "      <td>NaN</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>32673</th>\n",
+       "      <td>30000</td>\n",
+       "      <td>Высшее</td>\n",
+       "      <td>инженер лесосырьевых ресурсов</td>\n",
+       "      <td>инженер</td>\n",
+       "      <td>Женский</td>\n",
+       "      <td>2021-03-12</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>NaN</td>\n",
+       "    </tr>\n",
+       "  </tbody>\n",
+       "</table>\n",
+       "<p>5993 rows × 8 columns</p>\n",
+       "</div>"
+      ],
+      "text/plain": [
+       "       salary educationType                            jobTitle  \\\n",
+       "8       40000        Высшее                 Социальный работник   \n",
+       "19      40000        Высшее                бухгалтер, экономист   \n",
+       "21      30000        Высшее                Специалист 1 разряда   \n",
+       "22      25000        Высшее  Начальник отдела социальных выплат   \n",
+       "31      25000        Высшее                       Офис-менеджер   \n",
+       "...       ...           ...                                 ...   \n",
+       "32640   50000        Высшее                                 NaN   \n",
+       "32652   60000        Высшее                 Руководитель группы   \n",
+       "32655   12300        Высшее                             учитель   \n",
+       "32656   30000        Высшее                            Менеджер   \n",
+       "32673   30000        Высшее       инженер лесосырьевых ресурсов   \n",
+       "\n",
+       "                                           qualification   gender  dateModify  \\\n",
+       "8       Преподователь дошкольной педагогики и психологии  Женский  2021-10-05   \n",
+       "19              Экономист-организатор с.-х. производства  Женский  2021-07-02   \n",
+       "21                                               Магистр  Женский  2021-09-04   \n",
+       "22     Экономика и менеджмент в сфере управления перс...  Женский  2021-09-29   \n",
+       "31                                              Бакалавр  Женский  2021-10-01   \n",
+       "...                                                  ...      ...         ...   \n",
+       "32640                Учитель русского языка и литературы  Женский  2021-05-20   \n",
+       "32652                                           бакалавр  Женский  2021-01-29   \n",
+       "32655  филолог-преподаватель русского языка и литерат...  Женский  2021-02-09   \n",
+       "32656                                          Экономист  Женский  2020-01-28   \n",
+       "32673                                            инженер  Женский  2021-03-12   \n",
+       "\n",
+       "                                                  skills otherInfo  \n",
+       "8                                                    NaN       NaN  \n",
+       "19                                                   NaN       NaN  \n",
+       "21     <p>Усидчивость, умение удерживать в памяти нуж...       NaN  \n",
+       "22     <p>Владение&nbsp;ПК:&nbsp;MsOffice,&nbsp;1С:ЗУ...       NaN  \n",
+       "31     <p>Коммуникабельность, находить индивидуальный...       NaN  \n",
+       "...                                                  ...       ...  \n",
+       "32640                <p><em></em>Активная, обучаемая</p>       NaN  \n",
+       "32652                                                NaN       NaN  \n",
+       "32655                                                NaN       NaN  \n",
+       "32656  <p>Исполнительная, &nbsp;коммуникабельная&nbsp...       NaN  \n",
+       "32673                                                NaN       NaN  \n",
+       "\n",
+       "[5993 rows x 8 columns]"
+      ]
+     },
+     "execution_count": 212,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "female_height = data.query('gender == \"Женский\" and educationType == \"Высшее\"')\n",
+    "female_height"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "9e7b7898",
+   "metadata": {},
+   "source": [
+    "### Распределение зарплат для женщин с высшим образованием"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 213,
+   "id": "979e98d8",
+   "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 зарплат для женщин с высшим образованием') \n",
+    "plt.xlabel('Зарплата женщин') \n",
+    "plt.ylabel('Количество женщин') \n",
+    "plt.grid() \n",
+    "\n",
+    "plt.hist(female_height['salary'], \n",
+    "         bins=25) \n",
+    "plt.show()"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 214,
+   "id": "ddeb0581",
+   "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>45</th>\n",
+       "      <td>18000</td>\n",
+       "      <td>Незаконченное высшее</td>\n",
+       "      <td>техник-геофизик, геофизик</td>\n",
+       "      <td>горный инженер</td>\n",
+       "      <td>Женский</td>\n",
+       "      <td>2021-08-16</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>NaN</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>114</th>\n",
+       "      <td>30000</td>\n",
+       "      <td>Незаконченное высшее</td>\n",
+       "      <td>Юрисконсульт</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>Женский</td>\n",
+       "      <td>2021-04-01</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>NaN</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>115</th>\n",
+       "      <td>20000</td>\n",
+       "      <td>Незаконченное высшее</td>\n",
+       "      <td>Делопроизводитель</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>Женский</td>\n",
+       "      <td>2021-10-05</td>\n",
+       "      <td>&lt;p&gt;Опытный пользователь ПК. Администрирование....</td>\n",
+       "      <td>NaN</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>261</th>\n",
+       "      <td>30</td>\n",
+       "      <td>Незаконченное высшее</td>\n",
+       "      <td>Продавец-консультант</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>Женский</td>\n",
+       "      <td>2021-11-08</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>NaN</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>518</th>\n",
+       "      <td>35000</td>\n",
+       "      <td>Незаконченное высшее</td>\n",
+       "      <td>Мастер-переплетчик</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>Женский</td>\n",
+       "      <td>2021-08-16</td>\n",
+       "      <td>&lt;p&gt;Уверенный пользователь: MS Office (Word, Ex...</td>\n",
+       "      <td>&lt;p&gt;Стажировка&amp;nbsp; в Федеральной службе судеб...</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>32523</th>\n",
+       "      <td>15000</td>\n",
+       "      <td>Незаконченное высшее</td>\n",
+       "      <td>Менеджер по работе с клиентами</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>Женский</td>\n",
+       "      <td>2021-03-09</td>\n",
+       "      <td>&lt;p&gt;Уверенный пользователь ПК; свободное владен...</td>\n",
+       "      <td>NaN</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>32598</th>\n",
+       "      <td>60000</td>\n",
+       "      <td>Незаконченное высшее</td>\n",
+       "      <td>Менеджер по продажам</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>Женский</td>\n",
+       "      <td>2021-03-31</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>NaN</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>32605</th>\n",
+       "      <td>20000</td>\n",
+       "      <td>Незаконченное высшее</td>\n",
+       "      <td>продаец-консультант</td>\n",
+       "      <td>Бакалавр</td>\n",
+       "      <td>Женский</td>\n",
+       "      <td>2021-09-09</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>NaN</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>32657</th>\n",
+       "      <td>40000</td>\n",
+       "      <td>Незаконченное высшее</td>\n",
+       "      <td>Официант</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>Женский</td>\n",
+       "      <td>2021-05-20</td>\n",
+       "      <td>&lt;p&gt;Уверенный пользователь ПК: MS Office, Владе...</td>\n",
+       "      <td>NaN</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>32676</th>\n",
+       "      <td>25000</td>\n",
+       "      <td>Незаконченное высшее</td>\n",
+       "      <td>старший кассир-операционист</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>Женский</td>\n",
+       "      <td>2021-02-09</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>NaN</td>\n",
+       "    </tr>\n",
+       "  </tbody>\n",
+       "</table>\n",
+       "<p>507 rows × 8 columns</p>\n",
+       "</div>"
+      ],
+      "text/plain": [
+       "       salary         educationType                        jobTitle  \\\n",
+       "45      18000  Незаконченное высшее       техник-геофизик, геофизик   \n",
+       "114     30000  Незаконченное высшее                    Юрисконсульт   \n",
+       "115     20000  Незаконченное высшее               Делопроизводитель   \n",
+       "261        30  Незаконченное высшее            Продавец-консультант   \n",
+       "518     35000  Незаконченное высшее              Мастер-переплетчик   \n",
+       "...       ...                   ...                             ...   \n",
+       "32523   15000  Незаконченное высшее  Менеджер по работе с клиентами   \n",
+       "32598   60000  Незаконченное высшее            Менеджер по продажам   \n",
+       "32605   20000  Незаконченное высшее             продаец-консультант   \n",
+       "32657   40000  Незаконченное высшее                        Официант   \n",
+       "32676   25000  Незаконченное высшее     старший кассир-операционист   \n",
+       "\n",
+       "        qualification   gender  dateModify  \\\n",
+       "45     горный инженер  Женский  2021-08-16   \n",
+       "114               NaN  Женский  2021-04-01   \n",
+       "115               NaN  Женский  2021-10-05   \n",
+       "261               NaN  Женский  2021-11-08   \n",
+       "518               NaN  Женский  2021-08-16   \n",
+       "...               ...      ...         ...   \n",
+       "32523             NaN  Женский  2021-03-09   \n",
+       "32598             NaN  Женский  2021-03-31   \n",
+       "32605        Бакалавр  Женский  2021-09-09   \n",
+       "32657             NaN  Женский  2021-05-20   \n",
+       "32676             NaN  Женский  2021-02-09   \n",
+       "\n",
+       "                                                  skills  \\\n",
+       "45                                                   NaN   \n",
+       "114                                                  NaN   \n",
+       "115    <p>Опытный пользователь ПК. Администрирование....   \n",
+       "261                                                  NaN   \n",
+       "518    <p>Уверенный пользователь: MS Office (Word, Ex...   \n",
+       "...                                                  ...   \n",
+       "32523  <p>Уверенный пользователь ПК; свободное владен...   \n",
+       "32598                                                NaN   \n",
+       "32605                                                NaN   \n",
+       "32657  <p>Уверенный пользователь ПК: MS Office, Владе...   \n",
+       "32676                                                NaN   \n",
+       "\n",
+       "                                               otherInfo  \n",
+       "45                                                   NaN  \n",
+       "114                                                  NaN  \n",
+       "115                                                  NaN  \n",
+       "261                                                  NaN  \n",
+       "518    <p>Стажировка&nbsp; в Федеральной службе судеб...  \n",
+       "...                                                  ...  \n",
+       "32523                                                NaN  \n",
+       "32598                                                NaN  \n",
+       "32605                                                NaN  \n",
+       "32657                                                NaN  \n",
+       "32676                                                NaN  \n",
+       "\n",
+       "[507 rows x 8 columns]"
+      ]
+     },
+     "execution_count": 214,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "female_without_height = data.query('gender == \"Женский\" and educationType == \"Незаконченное высшее\"')\n",
+    "female_without_height"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "814bc09a",
+   "metadata": {},
+   "source": [
+    "### Распределение по заработной плате у женщин с незокноченным высшим образованием"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 215,
+   "id": "ff0a0e61",
+   "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 незокноченным высшим образованием') \n",
+    "plt.xlabel('Зарплата женщин') \n",
+    "plt.ylabel('Количество женщин') \n",
+    "plt.grid() \n",
+    "\n",
+    "plt.hist(female_without_height['salary'], \n",
+    "         color = 'green',\n",
+    "         bins=25) \n",
+    "plt.show()"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 216,
+   "id": "6f51c299",
+   "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>6</th>\n",
+       "      <td>45000</td>\n",
+       "      <td>Среднее</td>\n",
+       "      <td>представитель бизнес зала</td>\n",
+       "      <td>повар-кондитер</td>\n",
+       "      <td>Женский</td>\n",
+       "      <td>2021-10-20</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>NaN</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>26</th>\n",
+       "      <td>20000</td>\n",
+       "      <td>Среднее</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>Женский</td>\n",
+       "      <td>2021-04-01</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>NaN</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>34</th>\n",
+       "      <td>20000</td>\n",
+       "      <td>Среднее</td>\n",
+       "      <td>Повар</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>Женский</td>\n",
+       "      <td>2021-05-14</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>NaN</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>61</th>\n",
+       "      <td>25000</td>\n",
+       "      <td>Среднее</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>Женский</td>\n",
+       "      <td>2021-05-16</td>\n",
+       "      <td>&lt;p&gt;профессионал&lt;/p&gt;</td>\n",
+       "      <td>NaN</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>110</th>\n",
+       "      <td>10000</td>\n",
+       "      <td>Среднее</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>Женский</td>\n",
+       "      <td>2021-04-01</td>\n",
+       "      <td>&lt;p&gt;Вредных привычек не имею.Умение работать в ...</td>\n",
+       "      <td>&lt;p&gt;По запросу предъявлю рекомендации.&lt;/p&gt;</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>32638</th>\n",
+       "      <td>20000</td>\n",
+       "      <td>Среднее</td>\n",
+       "      <td>санитарка Родильного отделения</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>Женский</td>\n",
+       "      <td>2021-07-26</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>NaN</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>32653</th>\n",
+       "      <td>35000</td>\n",
+       "      <td>Среднее</td>\n",
+       "      <td>старшая горничная</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>Женский</td>\n",
+       "      <td>2021-05-27</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>NaN</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>32664</th>\n",
+       "      <td>18000</td>\n",
+       "      <td>Среднее</td>\n",
+       "      <td>Бухгалтер консультант</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>Женский</td>\n",
+       "      <td>2021-09-23</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>NaN</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>32669</th>\n",
+       "      <td>40000</td>\n",
+       "      <td>Среднее</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>Женский</td>\n",
+       "      <td>2021-07-08</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",
+       "  </tbody>\n",
+       "</table>\n",
+       "<p>3159 rows × 8 columns</p>\n",
+       "</div>"
+      ],
+      "text/plain": [
+       "       salary educationType                        jobTitle   qualification  \\\n",
+       "6       45000       Среднее       представитель бизнес зала  повар-кондитер   \n",
+       "26      20000       Среднее                             NaN             NaN   \n",
+       "34      20000       Среднее                           Повар             NaN   \n",
+       "61      25000       Среднее                             NaN             NaN   \n",
+       "110     10000       Среднее                             NaN             NaN   \n",
+       "...       ...           ...                             ...             ...   \n",
+       "32638   20000       Среднее  санитарка Родильного отделения             NaN   \n",
+       "32653   35000       Среднее               старшая горничная             NaN   \n",
+       "32664   18000       Среднее           Бухгалтер консультант             NaN   \n",
+       "32669   40000       Среднее                             NaN             NaN   \n",
+       "32679   13000       Среднее                        уборщица             NaN   \n",
+       "\n",
+       "        gender  dateModify                                             skills  \\\n",
+       "6      Женский  2021-10-20                                                NaN   \n",
+       "26     Женский  2021-04-01                                                NaN   \n",
+       "34     Женский  2021-05-14                                                NaN   \n",
+       "61     Женский  2021-05-16                                <p>профессионал</p>   \n",
+       "110    Женский  2021-04-01  <p>Вредных привычек не имею.Умение работать в ...   \n",
+       "...        ...         ...                                                ...   \n",
+       "32638  Женский  2021-07-26                                                NaN   \n",
+       "32653  Женский  2021-05-27                                                NaN   \n",
+       "32664  Женский  2021-09-23                                                NaN   \n",
+       "32669  Женский  2021-07-08                                                NaN   \n",
+       "32679  Женский  2021-07-29                                                NaN   \n",
+       "\n",
+       "                                       otherInfo  \n",
+       "6                                            NaN  \n",
+       "26                                           NaN  \n",
+       "34                                           NaN  \n",
+       "61                                           NaN  \n",
+       "110    <p>По запросу предъявлю рекомендации.</p>  \n",
+       "...                                          ...  \n",
+       "32638                                        NaN  \n",
+       "32653                                        NaN  \n",
+       "32664                                        NaN  \n",
+       "32669                                        NaN  \n",
+       "32679                                        NaN  \n",
+       "\n",
+       "[3159 rows x 8 columns]"
+      ]
+     },
+     "execution_count": 216,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "female_average = data.query('gender == \"Женский\" and educationType == \"Среднее\"')\n",
+    "female_average"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "3c4349e4",
+   "metadata": {},
+   "source": [
+    "### Распределение по заработной плате у женщин с  средним образованием"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 217,
+   "id": "0ebb23c2",
+   "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  средним образованием') \n",
+    "plt.xlabel('Зарплата женщин') \n",
+    "plt.ylabel('Количество женщин') \n",
+    "plt.grid() \n",
+    "\n",
+    "plt.hist(female_average['salary'], \n",
+    "         color = 'r',\n",
+    "         bins=25) \n",
+    "plt.show()"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 218,
+   "id": "16d16edc",
+   "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>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>13</th>\n",
+       "      <td>20000</td>\n",
+       "      <td>Среднее профессиональное</td>\n",
+       "      <td>Медсестра</td>\n",
+       "      <td>Фельдшер</td>\n",
+       "      <td>Женский</td>\n",
+       "      <td>2021-04-01</td>\n",
+       "      <td>&lt;p&gt;Ответственность в работе&lt;/p&gt;</td>\n",
+       "      <td>&lt;p&gt;Провожу время в семье, люблю велоспорт, при...</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>15</th>\n",
+       "      <td>35000</td>\n",
+       "      <td>Среднее профессиональное</td>\n",
+       "      <td>Администратор кассир</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>Женский</td>\n",
+       "      <td>2021-06-17</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>NaN</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>30</th>\n",
+       "      <td>40000</td>\n",
+       "      <td>Среднее профессиональное</td>\n",
+       "      <td>Билетный мобильный кассир</td>\n",
+       "      <td>оператор швейного оборудования, швея 2 разряда</td>\n",
+       "      <td>Женский</td>\n",
+       "      <td>2021-05-18</td>\n",
+       "      <td>&lt;p&gt;Ответственная , комунникабельная , готовая ...</td>\n",
+       "      <td>NaN</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>35</th>\n",
+       "      <td>35000</td>\n",
+       "      <td>Среднее профессиональное</td>\n",
+       "      <td>консультант по банковским продуктам</td>\n",
+       "      <td>банковское  дело</td>\n",
+       "      <td>Женский</td>\n",
+       "      <td>2021-11-12</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>32633</th>\n",
+       "      <td>30000</td>\n",
+       "      <td>Среднее профессиональное</td>\n",
+       "      <td>Упаковщица</td>\n",
+       "      <td>Швея первого разряда</td>\n",
+       "      <td>Женский</td>\n",
+       "      <td>2021-03-31</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>NaN</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>32634</th>\n",
+       "      <td>20000</td>\n",
+       "      <td>Среднее профессиональное</td>\n",
+       "      <td>Бухгалтер</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>Женский</td>\n",
+       "      <td>2021-09-07</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>NaN</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>32636</th>\n",
+       "      <td>18000</td>\n",
+       "      <td>Среднее профессиональное</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>Учитель начальных классов</td>\n",
+       "      <td>Женский</td>\n",
+       "      <td>2021-04-11</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>NaN</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>32644</th>\n",
+       "      <td>20000</td>\n",
+       "      <td>Среднее профессиональное</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>Фармацевт</td>\n",
+       "      <td>Женский</td>\n",
+       "      <td>2021-08-26</td>\n",
+       "      <td>&lt;p&gt;Исполнительность, аккуратность, пунктуально...</td>\n",
+       "      <td>NaN</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>32665</th>\n",
+       "      <td>20000</td>\n",
+       "      <td>Среднее профессиональное</td>\n",
+       "      <td>Менеджер по персоналу</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>Женский</td>\n",
+       "      <td>2021-10-12</td>\n",
+       "      <td>&lt;p&gt;Отвественность&lt;/p&gt;&lt;p&gt;Исполнительность&lt;/p&gt;&lt;p...</td>\n",
+       "      <td>NaN</td>\n",
+       "    </tr>\n",
+       "  </tbody>\n",
+       "</table>\n",
+       "<p>4357 rows × 8 columns</p>\n",
+       "</div>"
+      ],
+      "text/plain": [
+       "       salary             educationType                             jobTitle  \\\n",
+       "2       15000  Среднее профессиональное                                 ....   \n",
+       "13      20000  Среднее профессиональное                            Медсестра   \n",
+       "15      35000  Среднее профессиональное                 Администратор кассир   \n",
+       "30      40000  Среднее профессиональное            Билетный мобильный кассир   \n",
+       "35      35000  Среднее профессиональное  консультант по банковским продуктам   \n",
+       "...       ...                       ...                                  ...   \n",
+       "32633   30000  Среднее профессиональное                           Упаковщица   \n",
+       "32634   20000  Среднее профессиональное                            Бухгалтер   \n",
+       "32636   18000  Среднее профессиональное                                  NaN   \n",
+       "32644   20000  Среднее профессиональное                                  NaN   \n",
+       "32665   20000  Среднее профессиональное                Менеджер по персоналу   \n",
+       "\n",
+       "                                        qualification   gender  dateModify  \\\n",
+       "2                                                 NaN  Женский  2021-06-01   \n",
+       "13                                           Фельдшер  Женский  2021-04-01   \n",
+       "15                                                NaN  Женский  2021-06-17   \n",
+       "30     оператор швейного оборудования, швея 2 разряда  Женский  2021-05-18   \n",
+       "35                                   банковское  дело  Женский  2021-11-12   \n",
+       "...                                               ...      ...         ...   \n",
+       "32633                            Швея первого разряда  Женский  2021-03-31   \n",
+       "32634                                             NaN  Женский  2021-09-07   \n",
+       "32636                       Учитель начальных классов  Женский  2021-04-11   \n",
+       "32644                                       Фармацевт  Женский  2021-08-26   \n",
+       "32665                                             NaN  Женский  2021-10-12   \n",
+       "\n",
+       "                                                  skills  \\\n",
+       "2                                                    NaN   \n",
+       "13                       <p>Ответственность в работе</p>   \n",
+       "15                                                   NaN   \n",
+       "30     <p>Ответственная , комунникабельная , готовая ...   \n",
+       "35                                                   NaN   \n",
+       "...                                                  ...   \n",
+       "32633                                                NaN   \n",
+       "32634                                                NaN   \n",
+       "32636                                                NaN   \n",
+       "32644  <p>Исполнительность, аккуратность, пунктуально...   \n",
+       "32665  <p>Отвественность</p><p>Исполнительность</p><p...   \n",
+       "\n",
+       "                                               otherInfo  \n",
+       "2                                                    NaN  \n",
+       "13     <p>Провожу время в семье, люблю велоспорт, при...  \n",
+       "15                                                   NaN  \n",
+       "30                                                   NaN  \n",
+       "35                                                   NaN  \n",
+       "...                                                  ...  \n",
+       "32633                                                NaN  \n",
+       "32634                                                NaN  \n",
+       "32636                                                NaN  \n",
+       "32644                                                NaN  \n",
+       "32665                                                NaN  \n",
+       "\n",
+       "[4357 rows x 8 columns]"
+      ]
+     },
+     "execution_count": 218,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "female_average_pr = data.query('gender == \"Женский\" and educationType == \"Среднее профессиональное\"')\n",
+    "female_average_pr"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "6f7f7b05",
+   "metadata": {},
+   "source": [
+    "### Распределение по заработной плате у женщин с среднее профессиональным образованием"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 219,
+   "id": "359987ae",
+   "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 среднее профессиональным образованием') \n",
+    "plt.xlabel('Зарплата женщин') \n",
+    "plt.ylabel('Количество женщин') \n",
+    "plt.grid() \n",
+    "\n",
+    "plt.hist(female_average_pr['salary'], \n",
+    "         color = 'b',\n",
+    "         bins=25) \n",
+    "plt.show()"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "82419fc8",
+   "metadata": {},
+   "source": [
+    "# 8. Очистить и визуализировать данные по профессии инженер и должности менеджер."
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "dfc8eadd",
+   "metadata": {},
+   "source": [
+    "Очистим столбцы jobTitle и qualification от NaN значений, путем удаление строк."
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 220,
+   "id": "a2b391b5",
+   "metadata": {},
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "<class 'pandas.core.frame.DataFrame'>\n",
+      "RangeIndex: 32683 entries, 0 to 32682\n",
+      "Data columns (total 8 columns):\n",
+      " #   Column         Non-Null Count  Dtype \n",
+      "---  ------         --------------  ----- \n",
+      " 0   salary         32683 non-null  int64 \n",
+      " 1   educationType  24750 non-null  object\n",
+      " 2   jobTitle       20259 non-null  object\n",
+      " 3   qualification  12176 non-null  object\n",
+      " 4   gender         31296 non-null  object\n",
+      " 5   dateModify     32682 non-null  object\n",
+      " 6   skills         8972 non-null   object\n",
+      " 7   otherInfo      2316 non-null   object\n",
+      "dtypes: int64(1), object(7)\n",
+      "memory usage: 2.0+ MB\n"
+     ]
+    }
+   ],
+   "source": [
+    "data.info()"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 221,
+   "id": "5e6b8074",
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "(32683, 8)"
+      ]
+     },
+     "execution_count": 221,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "data.shape"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 222,
+   "id": "c4bd86ab",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "data.dropna(subset=[\"jobTitle\", \"qualification\"], inplace=True)\n"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 223,
+   "id": "4719600b",
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "(10130, 8)"
+      ]
+     },
+     "execution_count": 223,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "data.shape"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "eb4e4314",
+   "metadata": {},
+   "source": [
+    "В итоге в осталось 10130 значений"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "2bf133f8",
+   "metadata": {},
+   "source": [
+    "Далее найдем все случаи в которых значения дублируются и удалим их"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 224,
+   "id": "c47490f4",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "df = data.drop_duplicates([\"jobTitle\", \"qualification\"],keep='last')"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 225,
+   "id": "2258fbe4",
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "(9072, 8)"
+      ]
+     },
+     "execution_count": 225,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "df.shape"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "113000ec",
+   "metadata": {},
+   "source": [
+    "Мы очистили датафрейм от полных дубликатов по двум столбцам\n",
+    "Теперь найдем дубликаты по нескольким словам"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 226,
+   "id": "7e3e3268",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "def match_words(col1, col2):\n",
+    "    list1 = col1.split()\n",
+    "    for word in list1:\n",
+    "        if word in col2:\n",
+    "            return True\n",
+    "    return False"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 227,
+   "id": "07fbfebb",
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "7280"
+      ]
+     },
+     "execution_count": 227,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "\n",
+    "count = 0\n",
+    "for (col1, col2) in zip(df[\"jobTitle\"], df[\"qualification\"]):\n",
+    "    if match(col1, col2) or match_words(col2, col1):\n",
+    "        count += 1\n",
+    "\n",
+    "df.shape[0] - count"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "bfb4037d",
+   "metadata": {},
+   "source": [
+    "У 7280 человек профессия и должность не совпадают"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "d1e18adf",
+   "metadata": {},
+   "source": [
+    "# Топ 5 профессий и их графики"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "d252575b",
+   "metadata": {},
+   "source": [
+    "### менеджеры"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 228,
+   "id": "e32593d5",
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "Экономист    24\n",
+       "Менеджер     18\n",
+       "экономист    17\n",
+       "бакалавр     16\n",
+       "Бакалавр     14\n",
+       "Name: qualification, dtype: int64"
+      ]
+     },
+     "execution_count": 228,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "work_managers = df[df[\"jobTitle\"].str.contains(\"менедж\")]\n",
+    "work_managers['qualification'].value_counts().head(5)"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "05c2b864",
+   "metadata": {},
+   "source": [
+    "### инженеры"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 229,
+   "id": "b8c8fa9f",
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "Директор           7\n",
+       "инженер            6\n",
+       "Главный инженер    6\n",
+       "Инженер            6\n",
+       "директор           4\n",
+       "Name: jobTitle, dtype: int64"
+      ]
+     },
+     "execution_count": 229,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "work_engineers = df[df[\"qualification\"].str.contains(\"инженер\")]\n",
+    "work_engineers['jobTitle'].value_counts().head(5)"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 230,
+   "id": "18b2f09c",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "managers_to_list = work_managers['qualification'].value_counts().head(5)\n",
+    "engineers_to_list = work_engineers['jobTitle'].value_counts().head(5)"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "ff0b13b9",
+   "metadata": {},
+   "source": [
+    "### Топ 5 для менеджеров"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 231,
+   "id": "f0fd1ac1",
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "image/png": 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\n",
+      "text/plain": [
+       "<Figure size 1080x288 with 1 Axes>"
+      ]
+     },
+     "metadata": {
+      "needs_background": "light"
+     },
+     "output_type": "display_data"
+    }
+   ],
+   "source": [
+    "input_names = managers_to_list.index.tolist()\n",
+    "input_values = managers_to_list.tolist()\n",
+    "\n",
+    "fig = plt.figure()\n",
+    "fig.set_figwidth(15)\n",
+    "plt.bar(input_names, input_values)\n",
+    "plt.title('ТОП-5 образований, после которых становятся менеджерами') \n",
+    "plt.xlabel(\"Должность\") \n",
+    "plt.ylabel('Количество') \n",
+    "\n",
+    "plt.show()\n",
+    "\n"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "a5ecbee3",
+   "metadata": {},
+   "source": [
+    "### Топ 5 для инженеров"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 232,
+   "id": "8fdf2e49",
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "image/png": 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\n",
+      "text/plain": [
+       "<Figure size 1080x288 with 1 Axes>"
+      ]
+     },
+     "metadata": {
+      "needs_background": "light"
+     },
+     "output_type": "display_data"
+    }
+   ],
+   "source": [
+    "input_names = engineers_to_list.index.tolist()\n",
+    "input_values = engineers_to_list.tolist()\n",
+    "\n",
+    "fig = plt.figure()\n",
+    "fig.set_figwidth(15)\n",
+    "plt.bar(input_names, input_values, color = 'green')\n",
+    "plt.title('ТОП-5 образований, после которых становятся инженерами') \n",
+    "plt.xlabel('Должность') \n",
+    "plt.ylabel('Количество') \n",
+    "\n",
+    "plt.show()"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "id": "76cce083",
+   "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
+}