665 lines
194 KiB
Plaintext
665 lines
194 KiB
Plaintext
{
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"cells": [
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{
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"metadata": {},
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"cell_type": "markdown",
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"source": "Импорты всех зависимостей",
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"id": "f4447901ff06a71b"
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},
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{
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"metadata": {
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"ExecuteTime": {
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"end_time": "2025-04-06T09:15:59.683954Z",
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"start_time": "2025-04-06T09:15:59.680784Z"
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}
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},
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"cell_type": "code",
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"source": [
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"import pandas as pd\n",
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"\n",
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"from src.path_utils import *\n",
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"from src.notebook_utils import *"
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],
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"id": "4e4a89701d13149e",
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"outputs": [],
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"execution_count": 180
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},
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{
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"metadata": {},
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"cell_type": "markdown",
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"source": "Создание датафрейма путем чтения данных из .csv файла",
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"id": "2400eb281de29777"
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},
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{
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"metadata": {
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"ExecuteTime": {
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"end_time": "2025-04-06T09:20:36.844500Z",
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"start_time": "2025-04-06T09:20:36.820665Z"
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}
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},
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"cell_type": "code",
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"source": [
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"df = pd.read_csv(DATA_SCIENCE_SALARIES_CSV_PATH)\n",
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"df_reserve = df.copy()"
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],
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"id": "49cd068300b1d7b6",
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"outputs": [],
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"execution_count": 201
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},
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{
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"metadata": {},
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"cell_type": "markdown",
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"source": "Работа с библиотекой pandas",
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"id": "824d5134c7f15317"
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},
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{
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"metadata": {
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"ExecuteTime": {
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"end_time": "2025-04-06T09:20:37.737815Z",
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"start_time": "2025-04-06T09:20:37.699822Z"
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}
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},
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"cell_type": "code",
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"source": [
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"print_header('Загрузка данных из датафрейма в .csv файл')\n",
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"df.to_csv(TEST_DOWNLOAD_CSV_PATH, index=False)\n",
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"\n",
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"print_header('Информация о файле')\n",
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"df.info()\n",
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"\n",
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"print_header('Вывод данных одной колонке')\n",
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"print(df['salary_in_usd'])\n",
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"\n",
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"print_header('Конкретная запись')\n",
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"print(df.loc[10])\n",
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"\n",
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"print_header('Конкретная колонка из конкретной записи')\n",
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"print(df.loc[10, 'salary_in_usd'])\n",
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"\n",
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"print_header('Срез всех данных')\n",
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"print(df.loc[10:13])\n",
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"\n",
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"print_header('Срез данных конкретной колонки')\n",
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"print(df.loc[10:13, 'salary_in_usd'])\n",
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"\n",
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"print_header('Срез данных по диапазону строк и колонок')\n",
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"print(df.iloc[10:13, 0:5])\n",
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"\n",
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"print_header('Получение уникальных данных по колонке')\n",
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"print(df['employee_residence'].unique())\n",
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"\n",
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"print_header('Группировка данных')\n",
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"print(df.groupby(['job_title', 'experience_level']).size().reset_index(name='count'))\n",
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"\n",
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"print_header('Сортировка данных')\n",
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"print(df_reserve.sort_values('job_title'))\n",
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"\n",
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"print_header('Удаление первых записей')\n",
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"df_reserve.drop(df.head(500).index, inplace=True)\n",
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"print('Разница: {diff}'.format(diff = df.shape[0] - df_reserve.shape[0]))\n",
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"\n",
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"print_header('Отсечение последних записей')\n",
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"df_reserve = df_reserve.tail(-100)\n",
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"print('Разница: {diff}'.format(diff = df.shape[0] - df_reserve.shape[0]))\n",
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"\n",
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"print_header('Создание новых столбцов')\n",
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"df_reserve = df_reserve.assign(salary_in_rub = df['salary_in_usd'] * 100)\n",
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"df_reserve.info()\n",
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"print(df_reserve['salary_in_rub'])\n",
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"\n",
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"print_header('Удаление строк с пустыми значениями в конкретной колонке')\n",
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"df_reserve.dropna(subset = 'job_title', inplace = True)\n",
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"\n",
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"print_header('Заполнение пустых значений')\n",
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"source_column = 'salary'\n",
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"replace_column = 'salary_in_usd'\n",
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"empty_indexes = df_reserve[source_column][df_reserve[source_column].isnull()].index\n",
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"for idx in empty_indexes:\n",
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" source_value = df_reserve[replace_column][idx]\n",
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" if pd.notna(source_value):\n",
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" df_reserve.at[idx, source_column] = source_value\n",
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"print(df_reserve[source_column])"
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],
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"id": "3a01f1523f5095f6",
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"outputs": [
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{
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"name": "stdout",
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"output_type": "stream",
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"text": [
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"\n",
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"---| Загрузка данных из датафрейма в .csv файл |---\n",
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"\n",
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"\n",
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"---| Информация о файле |---\n",
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"\n",
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"<class 'pandas.core.frame.DataFrame'>\n",
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"RangeIndex: 3755 entries, 0 to 3754\n",
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"Data columns (total 11 columns):\n",
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" # Column Non-Null Count Dtype \n",
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"--- ------ -------------- ----- \n",
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" 0 work_year 3755 non-null int64 \n",
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" 1 experience_level 3755 non-null object\n",
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" 2 employment_type 3755 non-null object\n",
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" 3 job_title 3755 non-null object\n",
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" 4 salary 3755 non-null int64 \n",
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" 5 salary_currency 3755 non-null object\n",
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" 6 salary_in_usd 3755 non-null int64 \n",
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" 7 employee_residence 3755 non-null object\n",
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" 8 remote_ratio 3755 non-null int64 \n",
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" 9 company_location 3755 non-null object\n",
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" 10 company_size 3755 non-null object\n",
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"dtypes: int64(4), object(7)\n",
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"memory usage: 322.8+ KB\n",
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"\n",
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"---| Вывод данных одной колонке |---\n",
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"\n",
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"0 85847\n",
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"1 30000\n",
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"2 25500\n",
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"3 175000\n",
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"4 120000\n",
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" ... \n",
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"3750 412000\n",
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"3751 151000\n",
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"3752 105000\n",
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"3753 100000\n",
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"3754 94665\n",
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"Name: salary_in_usd, Length: 3755, dtype: int64\n",
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"\n",
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"---| Конкретная запись |---\n",
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"\n",
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"work_year 2023\n",
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"experience_level SE\n",
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"employment_type FT\n",
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"job_title Data Scientist\n",
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"salary 90700\n",
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"salary_currency USD\n",
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"salary_in_usd 90700\n",
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"employee_residence US\n",
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"remote_ratio 0\n",
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"company_location US\n",
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"company_size M\n",
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"Name: 10, dtype: object\n",
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"\n",
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"---| Конкретная колонка из конкретной записи |---\n",
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"\n",
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"90700\n",
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"\n",
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"---| Срез всех данных |---\n",
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"\n",
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" work_year experience_level employment_type job_title salary \\\n",
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"10 2023 SE FT Data Scientist 90700 \n",
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"11 2023 SE FT Data Analyst 130000 \n",
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"12 2023 SE FT Data Analyst 100000 \n",
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"13 2023 EN FT Applied Scientist 213660 \n",
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"\n",
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" salary_currency salary_in_usd employee_residence remote_ratio \\\n",
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"10 USD 90700 US 0 \n",
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"11 USD 130000 US 100 \n",
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"12 USD 100000 US 100 \n",
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"13 USD 213660 US 0 \n",
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"\n",
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" company_location company_size \n",
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"10 US M \n",
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"11 US M \n",
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"12 US M \n",
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"13 US L \n",
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"\n",
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"---| Срез данных конкретной колонки |---\n",
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"\n",
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"10 90700\n",
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"11 130000\n",
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"12 100000\n",
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"13 213660\n",
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"Name: salary_in_usd, dtype: int64\n",
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"\n",
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"---| Срез данных по диапазону строк и колонок |---\n",
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"\n",
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" work_year experience_level employment_type job_title salary\n",
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"10 2023 SE FT Data Scientist 90700\n",
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"11 2023 SE FT Data Analyst 130000\n",
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"12 2023 SE FT Data Analyst 100000\n",
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"\n",
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"---| Получение уникальных данных по колонке |---\n",
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"\n",
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"['ES' 'US' 'CA' 'DE' 'GB' 'NG' 'IN' 'HK' 'PT' 'NL' 'CH' 'CF' 'FR' 'AU'\n",
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" 'FI' 'UA' 'IE' 'IL' 'GH' 'AT' 'CO' 'SG' 'SE' 'SI' 'MX' 'UZ' 'BR' 'TH'\n",
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" 'HR' 'PL' 'KW' 'VN' 'CY' 'AR' 'AM' 'BA' 'KE' 'GR' 'MK' 'LV' 'RO' 'PK'\n",
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" 'IT' 'MA' 'LT' 'BE' 'AS' 'IR' 'HU' 'SK' 'CN' 'CZ' 'CR' 'TR' 'CL' 'PR'\n",
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" 'DK' 'BO' 'PH' 'DO' 'EG' 'ID' 'AE' 'MY' 'JP' 'EE' 'HN' 'TN' 'RU' 'DZ'\n",
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" 'IQ' 'BG' 'JE' 'RS' 'NZ' 'MD' 'LU' 'MT']\n",
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"\n",
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"---| Группировка данных |---\n",
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"\n",
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" job_title experience_level count\n",
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"0 3D Computer Vision Researcher EN 2\n",
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"1 3D Computer Vision Researcher MI 1\n",
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"2 3D Computer Vision Researcher SE 1\n",
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"3 AI Developer EN 6\n",
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"4 AI Developer MI 2\n",
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".. ... ... ...\n",
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"187 Research Scientist SE 49\n",
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"188 Software Data Engineer MI 1\n",
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"189 Software Data Engineer SE 1\n",
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"190 Staff Data Analyst EX 1\n",
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"191 Staff Data Scientist SE 1\n",
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"\n",
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"[192 rows x 3 columns]\n",
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"\n",
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"---| Сортировка данных |---\n",
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"\n",
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" work_year experience_level employment_type \\\n",
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"2149 2021 EN FT \n",
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"2206 2022 EN FT \n",
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"2022 2022 SE FT \n",
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"3537 2021 MI PT \n",
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"985 2023 EN FT \n",
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"... ... ... ... \n",
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"1331 2023 SE FT \n",
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"732 2023 MI FT \n",
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"856 2023 SE FL \n",
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"183 2020 EX FT \n",
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"3631 2021 SE CT \n",
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"\n",
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" job_title salary salary_currency salary_in_usd \\\n",
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"2149 3D Computer Vision Researcher 20000 USD 20000 \n",
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"2206 3D Computer Vision Researcher 50000 USD 50000 \n",
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"2022 3D Computer Vision Researcher 10000 USD 10000 \n",
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"3537 3D Computer Vision Researcher 400000 INR 5409 \n",
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"985 AI Developer 60000 EUR 64385 \n",
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"... ... ... ... ... \n",
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"1331 Research Scientist 248100 USD 248100 \n",
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"732 Software Data Engineer 100000 SGD 75020 \n",
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"856 Software Data Engineer 50000 USD 50000 \n",
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"183 Staff Data Analyst 15000 USD 15000 \n",
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"3631 Staff Data Scientist 105000 USD 105000 \n",
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"\n",
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" employee_residence remote_ratio company_location company_size \n",
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"2149 AS 0 AS M \n",
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"2206 US 100 CR S \n",
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"2022 CA 50 AL S \n",
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"3537 IN 50 IN M \n",
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"985 DE 0 DE M \n",
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"... ... ... ... ... \n",
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"1331 CA 0 CA M \n",
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"732 SG 100 SG L \n",
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"856 NG 50 AU M \n",
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"183 NG 0 CA M \n",
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"3631 US 100 US M \n",
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"\n",
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"[3755 rows x 11 columns]\n",
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"\n",
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"---| Удаление первых записей |---\n",
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"\n",
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"Разница: 500\n",
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"\n",
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"---| Отсечение последних записей |---\n",
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"\n",
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"Разница: 600\n",
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"\n",
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"---| Создание новых столбцов |---\n",
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"\n",
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"<class 'pandas.core.frame.DataFrame'>\n",
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"RangeIndex: 3155 entries, 600 to 3754\n",
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"Data columns (total 12 columns):\n",
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" # Column Non-Null Count Dtype \n",
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"--- ------ -------------- ----- \n",
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" 0 work_year 3155 non-null int64 \n",
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" 1 experience_level 3155 non-null object\n",
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" 2 employment_type 3155 non-null object\n",
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" 3 job_title 3155 non-null object\n",
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" 4 salary 3155 non-null int64 \n",
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" 5 salary_currency 3155 non-null object\n",
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" 6 salary_in_usd 3155 non-null int64 \n",
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" 7 employee_residence 3155 non-null object\n",
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" 8 remote_ratio 3155 non-null int64 \n",
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" 9 company_location 3155 non-null object\n",
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" 10 company_size 3155 non-null object\n",
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" 11 salary_in_rub 3155 non-null int64 \n",
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"dtypes: int64(5), object(7)\n",
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"memory usage: 295.9+ KB\n",
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"600 12900000\n",
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"601 9270000\n",
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"602 6180000\n",
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"603 17230900\n",
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"604 6009300\n",
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" ... \n",
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"3750 41200000\n",
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"3751 15100000\n",
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"3752 10500000\n",
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"3753 10000000\n",
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"3754 9466500\n",
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"Name: salary_in_rub, Length: 3155, dtype: int64\n",
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"\n",
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"---| Удаление строк с пустыми значениями в конкретной колонке |---\n",
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"\n",
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"\n",
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"---| Заполнение пустых значений |---\n",
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"\n",
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"600 129000\n",
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"601 92700\n",
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"602 61800\n",
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"603 164000\n",
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"604 56000\n",
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" ... \n",
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"3750 412000\n",
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"3751 151000\n",
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"3752 105000\n",
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"3753 100000\n",
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"3754 7000000\n",
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"Name: salary, Length: 3155, dtype: int64\n"
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]
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}
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],
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"execution_count": 202
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||
},
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||
{
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"metadata": {},
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||
"cell_type": "markdown",
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||
"source": "Линейная диаграмма",
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||
"id": "a4800f674456e5df"
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||
},
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||
{
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||
"metadata": {
|
||
"ExecuteTime": {
|
||
"end_time": "2025-04-06T09:20:26.137752Z",
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"start_time": "2025-04-06T09:20:26.078719Z"
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}
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},
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"cell_type": "code",
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"source": "df.groupby('experience_level')['salary_in_usd'].mean().plot.line(x = 'salary_in_usd', y = 'work_year')",
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"id": "955cedba41ab1e57",
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"outputs": [
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||
{
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"data": {
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"text/plain": [
|
||
"<Axes: xlabel='experience_level'>"
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]
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||
},
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||
"execution_count": 200,
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||
"metadata": {},
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||
"output_type": "execute_result"
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},
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{
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"data": {
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"text/plain": [
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"<Figure size 640x480 with 1 Axes>"
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],
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"image/png": 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u4UZWPnxdbPFYc1/ou4eCvfBwcC0UFiv4eD3L6YnI8FVLIrR//37ZKyR6ZD7//HM5MPqff/6Bvps2bRrS09N1l7g4Dgql6iN6TBftLhkkPaJjXdnjYgjeebwJLM3NsPVsEnadu652OERE96VKP3lFT8xbb72F//u//5OVZQ888IAcKD1gwAB89tlnso2Pj488bZWWllbuvqJqTBzTtrm5iky7f7c2zs7OslrN09MTFhYWt22jfYybieozcf+yF6Lqsvv8DUQlZsrFTQe2LylPNwT1azlieMe6cvvDdRFyfTQiIkNVpYmQGPsjLmIsTlkiIdFoSj4s27RpAysrK2zdulV3PCoqSpbLh4WFyX1xferUqXLVXVu2bJGJiTjtpm1T9jG0bbSPIU6/iecq20bEIPa1bYjUpF1Oo387f7jYWcGQvNytoawkO5+UhWX7S8Y4EREZIsvK3kHME3ThwoVyZeyifN3d3V0OeH7wwQflnD+iVyYwMFCWx//444+yl0gQY29Gjx4ty9rFfURy85///EcmJx06dJBtxMBqkfAMHToUs2fPlmN63nnnHXmKTfTaCBMmTMA333yDKVOmYNSoUdi2bRtWrlyJ9evX62ITzzF8+HC0bdsW7du3x5dffinL/0eOHFkV7x3RPYtKyJQ9QuZ6OIFiRYjE7fUejfD26tP44p/zeLJlbb2ZDZuIqFKUStq+fbssSbv5Mnz4cHk8Pj5eGTFihCxTt7W1VYKDg5XPP/+8XFlwbm6u8uKLLypubm6Kvb298tRTT8n7lXX58mWld+/eip2dneLp6am8/vrrSmFh4S2xtGzZUrG2tlbq1aun/PDDD7fE+/XXXysBAQGyjSin379/f4VfK8vnqbq8sfK4LEN/4efDiqEqKtYoPb/YKV/H9DWn1A6HiOievr/NxH8qlzqZDlGBJnqwxMBpjheiqpKUmYfOs7ajoFiDP17siNYBbjBU+y7ewOAFB2BhboYNL3dBsI+T2iEREaEy39+GUaZCZER+Co+RSVDrAFeDToKEjvU90aupj1x/TAyc5u8qIjI0TISIalBuQTF+Lh1cPLZLPRiDtx5rDGsLc+y5cEMuHEtEZEiYCBHVoN+PXkFqTiH83e3Qo+ntp3EwNAEe9ro10j5eH4H8omK1QyIiqjAmQkQ1RKNRsLh0lXlRKSbG1RiLFx9ugFpONricnIMley+rHQ4RUYUxESKqIdvOJuHSjWw42VriubbGtXyLo40lpvYKkdtfb7uA65n5aodERFQhTISIasjCPSUTKA4ODZCJg7F5ulVttKjjgqz8Iny2OUrtcIiIKoSJEFENOH01Hfsvpcg1usS6YsbI3NwMM/o2ldsrj8TJ10xEpO+YCBHVgIWly2k8/oAvfF3sYKzaBLrhyZZ+EFX0H6xlOT0R6T8mQkTVLD49F+tOxsvtMUZSMn8nYqyQrZU5Dl5OwfpTJa+biEhfMREiqmZL9l1GkUZBh3ruaFbbBcbOz9UOLzzYQG7P3HAWeYUspyci/cVEiKgaiYHDvxyIldtjOht/b5DWuK714Odii6tpufh+V8lpQSIifcREiKgarToch8y8ItTzdMAjIV4wFXbWFpj2WGO5PW/HRXl6kIhIHzERIqomYv2txXtLJ1DsHCSrqkyJGBjerq4bcguL8enGs2qHQ0R0W0yEiKrJ32cSEJeSCzd7KzzTug5MjZmZGWY83hRmZsCa49dwNDZV7ZCIiG7BRIiomiwoLZl/vkOgPFVkiprXccFzbUqSwPfXRshlRoiI9AkTIaJqcCQmFUdj0+Sq7EPDAmHK3ugZLGfSPhGXhtXHrqodDhFROUyEiKrBotLlNPq18oOXky1MmXj9Ex8pKaf/dNNZZOcXqR0SEZEOEyGiKhaXkoNNpxPk9mgTKpm/k5Gd6iLQwx5Jmfn4dscFtcMhItJhIkRUxUSlmBgK07VRLQT7OKkdjl6wsbTA26Xl9At2R8tkkYhIHzARIqpC6bmFWHkoTm6P6Rykdjh65dEm3ujUwAMFRRp8siFS7XCIiCQmQkRVaPnBWGQXFCPY2wldGnqqHY5eltOL6ZQ2nk7A/kvJaodERMREiKiqFBZr5LpiwuguQfKLn8oTpwqHhAbqyunFpJNERGpiIkRURTacikd8eh48HW3wZEs/tcPRW68+2gjOtpaIjM/AitLTiEREamEiRFQFFEXRTaA4PCxQDg6m23N3sJbJkPD531FyXBURkVqYCBFVgQPRKTh9NQO2VuYY0sG0J1CsCDHbdgMvRyRnF+DrrefVDoeITBgTIaIqsLC0N0isKSZ6POjOrCzMMf3xJnJbjKu6eD1L7ZCIyEQxESK6T5euZ+GfyCS5PZol8xX2YKNaeCTEC0UaBR+vZzk9EamDiRDRfVq0J1ped2/shXq1HNUOx6C806cxLM3NsO1sEnaeu652OERkgpgIEd2HlOwC/H70itwe04XLaVSWSBxHdKwrtz9cFyGnICAiqklMhIjuw7L9Mcgr1KBZbWeEBrmrHY5B+k+3hnJc1YWkLPy8P0btcIjIxDARIrpH+UXFWBpe8sU9tks9TqB4j1zsrPBGj2C5/cWWc7KXjYiopjARIrpHfx6/hhtZ+fB1scVjzX3VDsegDWjnj8a+zsjIK5LJEBFRTWEiRHSPEygu2l0ySFqMcRHl4HTvLMzFOmQl5fTLDsTgbEKG2iERkYngpzfRPdh9/gaiEjPhYG2Bge0D1A7HKITV90DvZj4Qy4+JgdMi2SQiqm5MhIjuwcLSkvn+7fzlGBeqGm891hjWlubYeyEZWyIS1Q6HiEwAEyGiSopKyMSuc9dhbgaM6sQJFKuSv7s9xnYpeU8/3hApB6QTEVUnJkJElbRoT8lyGr2a+cgvbqpaLz7UAF5ONohJzsEPey+rHQ4RGTkmQkSVkJSZhzXHrsnt0Z05gWJ1cLCxxNReIXL7m20X5HtORFRdmAgRVcLP4TEoKNagdYAr2gS6qR2O0XqqVW208HdFVn4RPtscpXY4RGTEmAgRVVBuQTF+Kp35mMtpVC/zMuX0q45cwemr6WqHRERGiokQUQX9cewKUnMK4e9uh55NfdQOx+iJHrd+Lf0gqujfX3uG5fREVC2YCBFVgEbzvwkUR3YMkhMAUvWb2jsEdlYWOHQ5FetOxqsdDhEZISZCRBWwPSoJl25kw8nWUs4dRDXD18UOLzxUX27P2nhWnp4kIqpKTISIKmDB7pKS+cHtA+BoY6l2OCZlXNd6qO1qh6tpufh+V8n/ByKiqsJEiOguxEDd/ZdSYGluhhGd6qodjsmxtbLAtMdKyunn7byAa2m5aodEREaEiRDRXSws7Q16/AFfeaqGal6f5r5oX9cdeYUafLrprNrhEJEpJ0K7du1C37594efnBzMzM6xZs+aWNpGRkXjiiSfg4uICBwcHtGvXDrGxsbrjeXl5eOmll+Dh4QFHR0c888wzSEwsv66QaN+nTx/Y29vDy8sLkydPRlFRUbk2O3bsQOvWrWFjY4MGDRpgyZIlt8Qyd+5c1K1bF7a2tggNDcXBgwcr+5LJhMWn5+oG6bJkXj3is2ZG3yYwMwP+PH4NR2JS1Q6JiEw1EcrOzkaLFi1kgnE7Fy9eROfOnRESEiITlZMnT2L69OkyEdF69dVXsXbtWqxatQo7d+7EtWvX8PTTT+uOFxcXyySooKAA+/btw9KlS2WSM2PGDF2b6Oho2ebhhx/G8ePHMWnSJIwZMwabN2/WtVmxYgVee+01vPvuuzh69KiMu2fPnkhKSqrsyyYTtWTfZRRpFHSo545mtV3UDsekife/f5uSgeofrD0jK/mIiO6bch/E3VevXl3utgEDBijPP//8v94nLS1NsbKyUlatWqW7LTIyUj5WeHi43N+wYYNibm6uJCQk6NrMmzdPcXZ2VvLz8+X+lClTlKZNm97y3D179tTtt2/fXnnppZd0+8XFxYqfn58yc+bMCr2+9PR0GZe4JtOTmVeoNHt3kxI4dZ2y5cz//hZJPUkZeUrTGSX/T1YdjlM7HCLSU5X5/q7SMUIajQbr169Ho0aNZM+LOKUlTkeVPX125MgRFBYWonv37rrbRO9RQEAAwsPD5b64bt68Oby9vXVtxONlZGTgzJkzujZlH0PbRvsYojdJPFfZNubm5nJf24boTlYdjkNmXhHqeTrgkRAvtcMhALWcbPCfRxrI7dmbzsolOIiI7keVJkLilFNWVhZmzZqFXr164e+//8ZTTz0lT3uJU2BCQkICrK2t4erqWu6+IukRx7RtyiZB2uPaY3dqI5Kl3Nxc3LhxQ55iu10b7WPcLD8/X96/7IVMU7FGweK9JRMojuocJJd8IP0gKvcCPeyRlJmPb7dfUDscIjJwVd4jJDz55JNyHFDLli3x5ptv4vHHH8f8+fOh72bOnCkHeGsv/v6cOM9U/X0mAXEpuXCzt8IzreuoHQ6VYWNpgXf6lKxDtnBPNGKTc9QOiYgMWJUmQp6enrC0tESTJiUfUlqNGzfWVY35+PjI01ZpaWnl2oiqMXFM2+bmKjLt/t3aODs7w87OTsZiYWFx2zbax7jZtGnTkJ6errvExcXd4ztBxjKB4vMdAmFnbaF2OHST7o290LmBJwqKNPhkQ6Ta4RCRAavSREic8hKl8lFRUeVuP3fuHAIDA+V2mzZtYGVlha1bt+qOi/YiUQoLC5P74vrUqVPlqru2bNkikxxtkiXalH0MbRvtY4hYxHOVbSN6rMS+ts3NRBm+eI6yFzI9ojT7aGwarC3MMTSs5O+W9K+cfvrjTeSab5vOJCD8YrLaIRGRgar0WgFiDNCFCxfKlbGL8nV3d3c54FnM9zNgwAB07dpVlrZv2rRJlsqLUnpBnHIaPXq0LGsX9xHJxn/+8x+ZnHTo0EG26dGjh0x4hg4ditmzZ8sxPe+8846ce0gkK8KECRPwzTffYMqUKRg1ahS2bduGlStXysHaWuI5hg8fjrZt26J9+/b48ssvZfn/yJEjq+K9IyO1aE9Jb9CTLf3g5fS/aR9IvwT7OGFIaAB+DI+Rq9Ovf7kLF8MlosqrbEna9u3bZUnazZfhw4fr2ixatEhp0KCBYmtrq7Ro0UJZs2ZNucfIzc1VXnzxRcXNzU2xt7dXnnrqKSU+Pr5cm8uXLyu9e/dW7OzsFE9PT+X1119XCgsLb4mlZcuWirW1tVKvXj3lhx9+uCXer7/+WgkICJBtRDn9/v37K/xaWT5vemKTs5WgN9fJ8uyz8Rlqh0N3kZKVrzzw3mb5/+vn/ZfVDoeI9ERlvr/NxH/uIX8yCaJqTPRgifFCPE1mGkTPwg97L6NLQ0/8NDpU7XCoApbsjcZ7ayPg7mCN7W88BBc7K7VDIiID+v7mWmNEpdJzC7HyUMkA+bFcTsNgDOkQiAZejkjJLsBXW8+rHQ4RGRgmQkSllh+MRXZBMYK9nWSPEBkGKwtzOXBaWLrvMi5ez1I7JCIyIEyEiAAUFmvkumLC6C5BsiqJDMeDjWqhW4iXXBfuo3URaodDRAaEiRARgA2n4hGfngdPRxtZLUaG5+0+jWFlYYbtUdexI4oLKxNRxTARIpMn6gW0EygODwuUMxeT4alXyxEjOtaV2x+ui5C9fEREd8NEiEzegegUnL6aAVsrcznwlgzXf7o1hIeDNS5ez8ZP4TFqh0NEBoCJEJm8hbtLFlcVa4qJEmwyXM62VnijZ7Dc/vKfc7KSjIjoTpgIkUm7dD0LW88m6laZJ8PXv60/Gvs6IyOvCP+3pfxyP0REN2MiRCZt8d5oiClFxSKe9Ws5qh0OVQGxzMa7fUvK6X85EIuzCRlqh0REeoyJEJms1OwC/Hbkitwe3ZkTKBqTDvU88FhzH2gU4IO1EXJAPBHR7TARIpO17EAM8go1aFbbGR3quasdDlWxab0bw9rSHPsuJuPviJLTn0REN2MiRCYpv6gYS0urisZ0rscJFI2Qv7s9xpUulfLx+kj5/5yI6GZMhMgk/XX8Gq5n5sPH2RZ9HvBVOxyqJi88VB/ezjaITcnB4j0lM4cTkf748/hV7Dp3XdUYmAiRyRHjRRbtKSmZH9GprlyrioyTg40lpvYKkdvfbDuPpMw8tUMiolI/7Y/BpBXHMf6nI7iQpN4agfwGIJOz58INnE3IhL21BQa1D1A7HKpm/VrWRgt/V7mg7pxNLKcn0ocfo3O3X8D0Nadl1W7/tnVQz9NBtXiYCJHJWVA6gaKYb8bFzkrtcKiamZcpp//t6BWcupKudkhEJp0Ezdx4FnM2l/woeblbQ7z3RFP571QtTITIpEQlZMrz0eLf3GhOoGgyWge44alWteWvz/fXnmE5PZEKijUK3vz9FL7fVbK24/THm+C1RxupXqzCRIhMyqI9Jf8AezXzkVVFZDrEWCE7KwscjknF2pPxaodDZFLyi4ox8ZejWHE4Tv4Qnf3sA3rzY5SJEJkMMVB2zbFrcpsTKJoeHxdbvPhQfbk9a0MkcgtYTk9UE3IKijBm6WFsPJ0AawtzfDukjRyaoC+YCJHJ+Dk8BgXFGrQOcEWbQDe1wyEVjO1aD7Vd7XAtPQ/f7bqodjhERi89pxDPLzyA3edvyAKVxSPayR55fcJEiEyC+PUvSjWFMaWT7JHpsbWywFuPNZbb83dexLW0XLVDIjLqXvgB34fjaGyaLExZNiYUnRt6Qt8wESKT8MexK0jNKYS/ux16NtWvXyNUs8QaZO3rusvlVWZtPKt2OERGKS4lB8/ND5dTlXg52WDl+DC0CtDPnngmQmT0NBoFi0pL5kd2DJKrk5PpEhUqM/o2gShU+evENRyJSVE7JCKjci4xE8/O34eY5Bz54/O3CR0R7OMEfcVEiIze9qgkXLqRDSdbS/Rvpz8D9Eg9zWq7YEDpYM3310bIZJmI7t+JuDT0/y4ciRn5CPZ2kklQgId+V+gyESKjt2B3Scn84PYBcLSxVDsc0hOv9wiGk40lTl5Jx+9Hr6gdDpHB23fxBgYv2I+0nEK09HfFivEd4O1sC33HRIiM2umr6dh/KQWW5mZyXTEirVpONvhPtwZye/bmKGTlF6kdEpHB+vtMAkb8cEguZdOpgYccGO1qbw1DwESIjNrC0t4gscK8r4ud2uGQnhnRMQhBng64npkv1z4iosr7/cgVvLDsKAqKNOjZ1FuWyIsFjw0FEyEyWvHpuVhXOoPwGE6gSLdhbWmOt0vL6cWA+tjkHLVDIjIoP+yNxuurTsjlM55tUwdzB7eGjaUFDAkTITJaS/ZdRpFGQWiQO5rXcVE7HNJT3Rp7oUtDTznZ5scbItQOh8ggKIqCL/85J4sNBLFcxuxnHoClheGlFYYXMVEFZOcX4ZcDsXJ7LCdQpLuU04vFH8W0CpvPJMoBn0T070SVpUiAvvznvNx//dFGeKdPY1VXkL8fTITIKK08HIfMvCLU83TAIyFeaodDeq6RtxOeDw2Q2x+sjUBRsUbtkIj0UlGxBpN/Oyl73IX3n2iK/3RrqPoK8veDiRAZHXGuevHekgkUR3UOMthfKVSzXn20EVztreRMuMsPxakdDpHeySssloOixXQTogf1iwEtMLyj4VfjMhEioyzjjEvJhZu9FZ5pXUftcMhAiFLfV7s3ktuf/x0lF4skohJieolRSw5hS0SiLDL47vk2eKqVcXy+MhEio7NwT0lv0PMdAmFnbVjVC6SuIaEBaOjlKNel++/WkvEPRKYuNbsAQxbsx76LyXJS2qUj26N7E28YCyZCZFSOxqbiSEwqrC3MMTQsUO1wyMCIihexDpnwY/hlXEjKUjskIlUlpOfJJTNOXEmXvey/jA1FWH0PGBMmQmRUtIurPtnSD15O+j+1O+mfLg1roXtjLzn1wkfrWU5PpismOVsunno+KQs+zrZYNSEMD9RxhbFhIkRGIy4lBxtPl0ygOLpLkNrhkAF7u08TWFmYYUfUdbloL5GpiYzPwLPzw3ElNRd1Pezx2wthaOClvyvI3w8mQmQ0fth7GWIRcTE5XoiPs9rhkAETy26M7FSSTH+4LgKFLKcnE3IkJhUDvguXS8809nXGqgkdUcdNv1eQvx9MhMgopOcWYsWhkgkUx3ACRaoCEx9pAE9Ha1y6no0fw2PUDoeoRuw+fx3PLzyAjLwitAl0w/JxHeQCxcaMiRAZBZEEiVWPG3k7omtDT7XDISPgbGuFN3oEy22xlEByVr7aIRFVq42n4mWJfG5hMR5sVAs/jW4PFzsrGDsmQmTwxGkLcVpMu7iqIc9wSvrlubb+aOLrLGcp/78t59QOh6jarDwUh5d+OYrCYgV9mvtiwbC2sLc2nBXk7wcTITJ4G07FIz49D56ONniylZ/a4ZAREbPnvltaTv/rwVg5gJTI2CzYdQlTfj8px1gOau+Prwa1kpMmmgrTeaVktCsgLywtmR8WFggbS06gSFUrtJ6H/IUsviTEOmTib47IGIi/5c82R+HjDZFyf/yD9fDJU83lDwBTwkSIDNrB6BScupoOG0tzOZM0UXV4s3eI/BsLv5QsV6gnMoYV5Gf8eQbfbL8g96f0Csa03o1NcmgBEyEyaAtKe4OeaVMH7g7WaodDRsrf3R7jupZUI36yIVIuPklkyOMqX115HD/tj4HIez5+qhlefKgBTBUTITJYl65nYevZkl/noztzAkWqXi88VF/OrhubkoPFe0sScCJDI5L48T8dwZ/Hr8HS3AxfDWyFIaGm3ZvORIgMlvgyEsM1uoV4oX4tR7XDISMnKmim9i4pp5+77QKSMvLUDomoUjLyCjFs8UFsO5sEWytzLBjeFn1bsMCk0onQrl270LdvX/j5+clziWvWrPnXthMmTJBtvvzyy3K3p6SkYMiQIXB2doarqytGjx6NrKzyixuePHkSXbp0ga2tLfz9/TF79uxbHn/VqlUICQmRbZo3b44NGzbcMhBsxowZ8PX1hZ2dHbp3747z57mitLGshvzbkStymxMoUk15skVttPR3lXNWzd4cpXY4RBUm5sEavGC/HFfpZGOJH0eF4uFgL7XDMsxEKDs7Gy1atMDcuXPv2G716tXYv3+/TJhuJpKgM2fOYMuWLVi3bp1MrsaNG6c7npGRgR49eiAwMBBHjhzBnDlz8N577+H777/Xtdm3bx8GDRokk6hjx46hX79+8nL69GldG5E8ffXVV5g/fz4OHDgABwcH9OzZE3l5/CVn6JYdiEFeoQbNajujQz13tcMhE2FeppxeJOInr6SpHRLRXV1Ly8Vz34Xj9NUMeDhY49dxHdA+iJ+bOsp9EHdfvXr1LbdfuXJFqV27tnL69GklMDBQ+eKLL3THIiIi5P0OHTqku23jxo2KmZmZcvXqVbn/7bffKm5ubkp+fr6uzdSpU5Xg4GDdfv/+/ZU+ffqUe97Q0FBl/Pjxcluj0Sg+Pj7KnDlzdMfT0tIUGxsb5ddff63Q60tPT5eximvSH3mFRUrbj7YogVPXKauPXlE7HDJBry4/Jv/+nv52r/ysIdJXF5MylbBP/pF/r+Ja7JuC9Ep8f1f5GCGNRoOhQ4di8uTJaNq06S3Hw8PD5emwtm3b6m4Tp6zMzc1lr422TdeuXWFt/b8qINGTExUVhdTUVF0bcb+yRBtxuxAdHY2EhIRybVxcXBAaGqprc7P8/HzZG1X2Qvrnr+PX5GKAYuBqnwd81Q6HTNCUXiGwt7aQi1P+deKa2uEQ3dbpq+l4bn44rqXnoV4tB/z2QkfU43jKW1R5IvTpp5/C0tISL7/88m2Pi+TEy6v8eUnR3t3dXR7TtvH29i7XRrt/tzZlj5e93+3a3GzmzJkyWdJexNgk0i+iI3LRnpKKnRGd6sLKguP9qeb5uNjixYfqy+1ZG88it4Dl9KRfDl1OwaDv9yM5u0AOIVg1Pgx+rnZqh6WXqvRbRIzn+e9//4slS5YY5KRM06ZNQ3p6uu4SFxendkh0kz0XbuBsQqb8NT6ofYDa4ZAJE4P067jZyeVd5u+8qHY4RDrbzyZh6KIDyMwvkmOBfhnbAR6Oxr2CvN4kQrt370ZSUhICAgJkL4+4xMTE4PXXX0fdunVlGx8fH9mmrKKiIllJJo5p2yQmlp+9Vbt/tzZlj5e93+3a3MzGxkZWspW9kH5OoNi/rb9JrIpM+svWygJvPdZYbn+36yKupuWqHRIR1p64hrE/HpbFJI+EeOHHUe3hbMvPyhpLhMTYIFH2fvz4cd1FVI2J8UKbN2+WbcLCwpCWliZ7j7S2bdsmxxaJ8TvaNqKSrLCwUNdGVJgFBwfDzc1N12br1q3lnl+0EbcLQUFBMuEp20aM+RHjkLRtyLBEJWRi17nrEMvgjOrECRRJfb2b+chf3OJLR5wiI1K7mvbl5cdQpFHwZEs/fDe0jUzYqYoTITHfjzbJ0Q5KFtuxsbHw8PBAs2bNyl2srKxkQiKSGKFx48bo1asXxo4di4MHD2Lv3r2YOHEiBg4cqCu1Hzx4sBwoLUrjRZn9ihUr5Cm31157TRfHK6+8gk2bNuHzzz/H2bNnZXn94cOH5WMJ4tTcpEmT8NFHH+Gvv/7CqVOnMGzYMPkcosyeDM+iPZfkdc+mPgjwsFc7HCL5OSPK6cVIAPFL/PDlFLVDIhP17Y4LeHv1aTnJ7NAOgfiif0uOoayoypakbd++XZak3XwZPnz4bdvfXD4vJCcnK4MGDVIcHR0VZ2dnZeTIkUpmZvmSvhMnTiidO3eW5e6iFH/WrFm3PPbKlSuVRo0aKdbW1krTpk2V9evXlzsuylqnT5+ueHt7y8fp1q2bEhUVVeHXyvJ5/ZGUkac0fGuDLAE9fDlF7XCIynnz9xPyb/Pxr3YrxcUsp6eaI77nPtkQIf/+xGXOprOc0kGp3Pe3mfhPhbMmEyNOpYnqMTFwmuOF1PV/f0fhq20X0CrAFatf7KR2OETl3MjKx8NzdsjBqbOffUCOYSOqbsUaBe+sOYVfD5YU9rz9WGOMLV0c2NRlVOL7m/1mZBCLBIpVkoWxXE6D9JCnow1e7tZQbs/eFIXMvP+NbySqDgVFGrz86zGZBIlxk7OfeYBJ0D1iIkR67/ejV5CaUyhLlXs0KT8vFJG+GN6xLoI8HWTv0NztLKen6pNTUIQxPx7G+lPxsLIwwzeDW6N/O/ZC3ismQqTXNJr/TaAoKsUsOfiP9JS1pTne6VNSTr94TzRikrPVDomMUHpuIYYtOigraO2sLLB4RDs81pwz7N8PfquQXtselYRL17PhZGvJXzyk98S8LV0aeqKgWIOP10eqHQ4ZGbG00MDv9+NwTCqcbS3x85hQdGlYS+2wDB4TIdJrC0snUBzcPgCONpZqh0N013L6GY83gYW5Gf6OSMS+CzfUDomMxJXUHDw3fx8i4zPkmLQV48PQJrBkXj26P0yESK8XDAy/lAxLczM5/oLIEDT0dpLzuAgfrItAUbFG7ZDIwF1IysSz88JxOTlHjpX8bUIYGvuykrmqMBEivaUdGyRWmOdigWRIJnVvCFd7K7ku3q+HuGYh3buTV9LkCvIJGXlo6OWI3yZ0RF1PB7XDMipMhEgvxafnypl6hTGdWRJKhsXV3hqvPdpINwdWeg7L6anywi8mY/CCA7JqtkUdF6wcHwYfF1u1wzI6TIRILy3dFyPXywkNckfzOi5qh0NUaWJcWyNvR/kl9uXWc2qHQwbmn4hEDP/hILLyi9CxvgeWje0ANwdrtcMySkyESO9k5xfhlwMlEyiO4QSKZKDEVA8zHm8qt38Kj8GFpCy1QyIDsfrYFYz/+YicNPHRJt6yRJ7FItWHiRDpnVWH45CRVyQnp+sW4qV2OET3rHNDT3Rv7C17Nz9aH6F2OGQAlu67jFdXnJDLZzzdujbmDWnNFeSrGRMh0iviH//ivZfl9qjOQTAXc8cTGTAxyaKY/XdH1HVsP5ukdjikp8Syn19vPY93/zoj90d0rIvPnm3BSWRrAN9h0itbIhIQm5IjK26ebV1H7XCI7puo8BGzogsfro+QpzuIbp5B/6P1kfh8yzld1eG7fZvwh2ANYSJEemVB6QSKz4cGws6a3cFkHCY+0gCejtZylvQfw0t6PIkEMc/UlN9P6qYLERNyTureSE7OSTWDiRDpjaOxqTgSkwprC3MM61gyIR2RMXCytcLknsFy+79bzyM5K1/tkEgP5BcVY+Ivx/DbkStyNvLPn2shhwRQzWIiRHpjUWlv0BMt/eDlxLkyyLg828YfzWo7IzOvSHcKhEy7OnbUkkPYdCZB/vgTg6KfacPhAGpgIkR6IS4lBxtPx8vtMV34i4iMj/jFry2nX34wVq4ZRaYpLacAQxYewN4LyXCwtsCSke3Qo6mP2mGZLCZCpBd+2HsZGgVy5e4QH66hQ8apfZC7XDJG/K1/sDZCVgqRaUnKyMOA7/bjeFyaLAoREyV2bOCpdlgmjYkQqS49txArDsXKbU6gSMZuWu8Q2FiaywWFN59JUDscqkGxyTl4dn44ohIz4e1sI5fMaOnvqnZYJo+JEKlOJEHZBcVyOYKuDfnLiIxbHTd7jO9akvB/vCESeYXFaodENSAqIRPPzt8npwcJ9LCXi6c28nZSOyxiIkRqKyzWyNNi2sVVWTJKpmDCQ/Xh42yLuJRcXdk0Ga9jsano/104kjLzEeLjhFXjw+Dvbq92WFSKiRCpasOpeMSn58HT0QZPtvJTOxyiGmFvbYk3e4fI7bnbLyAxI0/tkKia7Dl/Qw6MFkMAWge4YsW4MHg5sypWnzARItWIgaILS0vmh4UFwsaSEyiS6XiypZ/8YswpKMbsTVFqh0PVYNPpBFkiL/4fi0KQn8eEwsXeSu2w6CZMhEg1B6NTcOpquhw4+nwHTqBIpkWcBn63b0k5/e9Hr+BEXJraIVEVLx794rIjKCjW4LHmPlg4vK3sCST9w0SIVF9OQ0wi5u5grXY4RDWuhb+rXGFceH/tGZbTGwkx7mvybyflNAkD2vrj60Gt2eOtx5gIkSouXc/C1rOJcns0p5QnEza1VwjsrS1wNDYNf524pnY4dB9EIvt/W87hw3URcn9slyDMeqa5nEyT9BcTIVLF4r3RED9+u4V4oX4tR7XDIVKNt7MtXnq4gdyetfEscgqK1A6J7nEF+ffXRuCrreflvlhb7q3HGrMS1gAwEaIal5pdIBcZFDiBIlFJr2gdNztZQTl/5yW1w6F7mAbk9VUnsGTfZYi858N+zWRyyyTIMDARohq37EAM8go1aOrnjA713NUOh0h1tlYWePuxxnL7u50XcTUtV+2QqILEhJgv/HwUq49dhaW5Gb4c0BJDWfxhUJgIUY3KLyrG0vAYuT22CydQJNLq1cxH/jDIL9Jg5oZItcOhCsjMK8SIHw7in8hEWf36/bA2eLJlyeB3MhxMhKhG/XX8Gq5n5stZdcXik0RUQvwoEKvTi3G1607G49DlFLVDojtIyS5ZQX7/pRQ42ljix1Ht8UiIt9ph0T1gIkQ1WlGhXU5gRKe6sLLgnx9RWU38nDGgXYCunF4MwCX9E5+eK5fMOHklXU79sXxcB4TW81A7LLpH/CaiGrPnwg2cTciUpcKDSj/siai8N3o0gpOtJU5fzdAVFZD+iL6RjWfnheNCUhb8XGzlCvLNaruoHRbdByZCVGO0y2n0b+vPaeaJ/oWHow1e6dZQbs/eHCXHoZB+iLiWgefmh8vB7PU8HbDqhY5o4MXpPwwdEyGqEecSM7Hz3HU5/mFUJ06gSHQnw8Lqyi/aG1n5+Gb7BbXDIQBHYlIw8Ptw+f+kia8zVk4IQ21XO7XDoirARIhqxKLS3qCeTX0Q4GGvdjhEes3a0hzvPF5STv/DnsuISc5WOySTJn7EiYHRGXlFaFfXDcvHd4Cno43aYVEVYSJE1U5UiYk5NoQxXdgbRFQRDwd74cFGteSinR+vZzm9WtafjMeYpYfk3GcPBdfCj6NC4WzLU/vGhIkQVbuf9sfID/NWAa5oE8gJFIkqWk4//fHGcp2qvyMSsffCDbVDMjnLD8biP78eRWGxgscf8MX3Q9vCzpqLpxobJkJU7bOu/ry/ZALFMZ25nAZRZTTwctLNUvzB2ggUFWvUDslkiBm+3/zjlFxBfkhoAP47sJU8ZUnGh/9XqVr9cfSqnHhMrKPUsyknGyOqrFe7N4KbvRWiEjPx68FYtcMxifnOPt10FjM3npX7Lz5UHx/1a8YV5I0YEyGqNmIyuIV7ShaQHNkpCJacQJGo0sRUE6892khu/9+Wc0jLKVA7JKNVrFHwzprTmLfjotx/s3cIpvQK4VJARo7fTFRtdpxLwqXr2XCyscSAdv5qh0NksAa1D0CwtxNScwrx5T/n1Q7HKBUUaTBpxXEsOxArV5Cf+XRzTHiwvtphUQ1gIkTVZsGukpL5QaEBci0eIro3ojd1Rt8muuKDC0mZaodkVHILijHup8NYe+IarCzM8M2g1jL5JNPARIiqxemr6Qi/lCzPq4/oWFftcIgMXqcGnujRxFuevvlgXaQcy0L3LyOvEMMXH8SOqOuwtTLHgmFtuSC0iWEiRNVCu7hqn+a+8OPsq0RV4u0+jWFtYY5d565je1SS2uEYPDFL9MDv9uPg5RS5vtvPo0PxULCX2mFRDWMiRFUuIT1PdjELnECRqOoEejhgZOeSHtaP1kXKcS10b8R6Yf3nhyMiPgOejtZYMS4MbetynjNTxESIqtySfZdRpFHQPsgdD9RxVTscIqMy8eEGcnmHSzey8WP4ZbXDMUgXr2fhuXn75Hso1gtbNaEjmvg5qx0WGUoitGvXLvTt2xd+fn6ypHDNmjW6Y4WFhZg6dSqaN28OBwcH2WbYsGG4dq2kd0ArJSUFQ4YMgbOzM1xdXTF69GhkZWWVa3Py5El06dIFtra28Pf3x+zZs2+JZdWqVQgJCZFtxHNu2LCh3HFxDn3GjBnw9fWFnZ0dunfvjvPnWXFRnbLzi/DLgZIJFMd24QSKRFXNydYKU3oGy+3/bj0vT+9Q5cYvihXkr6XnyZXjf3shDEGeDmqHRYaUCGVnZ6NFixaYO3fuLcdycnJw9OhRTJ8+XV7/8ccfiIqKwhNPPFGunUiCzpw5gy1btmDdunUyuRo3bpzueEZGBnr06IHAwEAcOXIEc+bMwXvvvYfvv/9e12bfvn0YNGiQTKKOHTuGfv36ycvp06d1bUTy9NVXX2H+/Pk4cOCATM569uyJvLy8yr5sqqBVh+PkwoTig6VbCM+1E1WHZ9vUQfPaLsjMK8Lnf59TOxyDceBSMgZ9v19O8irev5Xjw+DrwjGMJk+5D+Luq1evvmObgwcPynYxMTFyPyIiQu4fOnRI12bjxo2KmZmZcvXqVbn/7bffKm5ubkp+fr6uzdSpU5Xg4GDdfv/+/ZU+ffqUe67Q0FBl/Pjxcluj0Sg+Pj7KnDlzdMfT0tIUGxsb5ddff63Q60tPT5eximu6u6JijdLl021K4NR1yo/hl9UOh8ioHYxOlv/Wgt5cp5y5ys+ou9kamaA0enuDfM/6z9+nZOQWqB0SVaPKfH9X+xih9PR0eQpNnAITwsPD5Xbbtm11bcQpK3Nzc9lro23TtWtXWFtb69qInhzRu5SamqprI+5Xlmgjbheio6ORkJBQro2LiwtCQ0N1bW6Wn58ve6PKXqjitkQkIDYlB672Vni2dR21wyEyau3quqNvCz+5FtYH686wnP4O/jx+FeN+PIL8Ig26N/bC0lHt5SlGIqFaEyFxCkqMGRKnsMR4IEEkJ15e5U+ZWFpawt3dXR7TtvH2Lr8ulXb/bm3KHi97v9u1udnMmTNlsqS9iLFJVHELdpeUzD8fGsgVmolqgFgCQsx9s/9SCjadvv3nmqkTE1CKGaNFAcdTrWpj3vNtYGvFzyeqgURIDJzu37+//JUyb948GIJp06bJHiztJS4uTu2QDMbR2FQciUmVc5wM61iyWjYRVS9R8TSua8kyEB9viEReYbHaIekN8d0zd/sFTF9zGqKzbHhYID5/rgWsuOYh3cS8OpOgmJgYOSBa2xsk+Pj4ICmp/ERgRUVFspJMHNO2SUxMLNdGu3+3NmWPl73f7drczMbGRsZa9kIVs6i0N+iJln7wcrJVOxwikzHhwXrwdbHFldRc3USmpk4kQWL1+Dmbo+T+y90a4r0nmsKcK8hTTSRC2iRIlKn/888/8PDwKHc8LCwMaWlpshpMa9u2bdBoNHL8jraNqCQTj6UlEqrg4GC4ubnp2mzdurXcY4s24nYhKChIJjxl24gxP2IckrYNVY24lBxsPB0vtzmBIlHNsre2lKfIBNEDkphh2lWxYgmSN38/he93XZL70x9vgtcebcQV5KnqEiEx38/x48flRTsoWWzHxsbKxOXZZ5/F4cOHsWzZMhQXF8vxOOJSUFAg2zdu3Bi9evXC2LFjcfDgQezduxcTJ07EwIED5bxDwuDBg+VAaVEaL8rsV6xYgf/+97947bXXdHG88sor2LRpEz7//HOcPXtWlteL5xWPJYg/+kmTJuGjjz7CX3/9hVOnTsk5jcRziDJ7qjo/7L0sB2x2aeiJEB/2ohHVtCda+KFNoBtyCorx6aazMFX5RcX4z69HseJwHETnz+xnH8DozvxxRndR2ZK07du3y5K0my/Dhw9XoqOjb3tMXMT9tJKTk5VBgwYpjo6OirOzszJy5EglMzOz3POcOHFC6dy5syx3r127tjJr1qxbYlm5cqXSqFEjxdraWmnatKmyfv36csdFCf306dMVb29v+TjdunVToqKiKvxaWT5/d+m5BUqT6RtlSeqOqCS1wyEyWcdjU+W/Q3E5FpuqmJrs/ELl+YX75etv+NYGZeOpeLVDIhVV5vvbTPznbsmSqRKn0kT1mBg4zfFCt/f9rov4ZMNZNPJ2xOZJXdn9TKSiN1adwG9HrqBVgCv+eKGjyfx7TM8pxMglB3E0Ng321hb4fmhbdG7oqXZYZCDf3xw+T/essFiDJXtL1joa07meyXzoEukrsfSGg7UFjsWm4c/j5Zc2MlZJmXkY8H24TIJc7KywbEwokyCqFCZCdM82nIqX6/WIlZtFtRgRqcvL2RYvPtxAbs/aeBY5BUUw9kINsW7Y2YRMeDnZyCUzWgWUFNQQVRQTIbon4oyqtlR3WFhdTlBGpCfE4GB/dzskZORh/o6LMFbnEzPx7Px9iEnOka/3twkdEezjpHZYZICYCNE9ORidgpNX0mFjaY4hoQFqh0NEpcSPkrcfayy3v9t1CVdSc2BsTsSl4bnvwpGYkY9gbyeZBAV42KsdFhkoJkJ0TxaW9gY906YOPBxt1A6HiMro2dQHYfU85NpaYmJBY7Lv4g0MXrAfaTmFaOnvihXjO8DbmZO40r1jIkSVFn0jG/9ElszYPaoT5+gg0jeicGFG3yZyLp31J+NlD64x+PtMAkb8cAjZBcXo1MBDDox2tf/f4txE94KJEFXa4j3Rcu2ebiFeaODlqHY4RHQbjX2dMbB9yWnr99eekTMuG7Lfj1zBC8uOoqBIg55NvbF4RDs42FiqHRYZASZCVCmp2QVYdaRkMdrRXE6DSK+9/mgjONla4sy1DPxW+u/WEP2wNxqvrzohk7ln29TB3MGtYWPJAg2qGkyEqFJ+ORiLvEINmvo5yzEIRKS/xPi9V7o1lNtiAdLMvP+t32go1alf/nMO76+N0J2Kn/3MA7DkCvJUhfjXRJVax2fJvtIJFLsEcQJFIgMgpreoV8sBN7IK8M22CzAUGo2CD9ZF4Mt/zut6t6Y/3pgryFOVYyJEFbb2RDyuZ+bDx9kWfZpzAkUiQ2BtaY7pfZrI7cV7o3H5Rjb0XVGxBpN/OykXdBbef6Ip/tOtIX98UbVgIkQV7qJeuPuS3B7esa78cCUiw/BwiBceCq6FwmIFH2+IhD7LKyzGi8uO4vejV2BhboYvBrSQnzlE1YXfZlQhey8ky2nsxYKGg0srUYjIcLzTpwkszc2wJSIRe87fgD7Kyi/CqCWH8HdEovyx9d3zbfBUqzpqh0VGjokQVciC0t6g/m394WJvpXY4RFRJYqqLoWGBcvuDdWfk6Sd9q0gdsmA/9l1MlgvHLh3ZHt2beKsdFpkAJkJ0V+cSM7Hz3HWI0/OcQJHIcE3q1ghu9lY4l5glK0D1RUJ6Hvp/F44TV9JlfL+O64Cw+qxKpZrBRIjuatHukuU0ejbx4Xo+RAZM9Oa+1iNYbv/flnNIyylQOyTEJGfLxVPPJ2XJQoxVE8LwQB1XtcMiE8JEiO5IVImtPn5Vbo/tyt4gIkM3qJ0/Qnyc5Fpd2tJ0tUTGZ+DZ+eG4kpqLuh72Mglq4MUV5KlmMRGiO/ppf4yc0l4sbtg6wE3tcIjoPonJCGc83kT37/t8YqYqcRyJScWA78Lljy2RmK2cEAZ/d/Y4U81jIkR3LGP9eX+M3B7bpR7n8CAyEh0beMr1uopLJy0U02PUpN3nr+P5hQeQkVeENoFuWDE+DF5OXEGe1MFEiP7VH0evIiW7AHXc7OSHJhEZj7cfawJrC3PsPn8D284m1djzbjwVL0vkcwuL0bVRLfw0uj1c7FiJSuphIkT/Or39wj0lJfMjOwVxbR8iIyMKH0Z1Lhn399H6SHkKvLqtPBSHl345Kid27NPcFwuHtYW9NVeQJ3Xx241ua8e5JFy6ng0nG0sMaOevdjhEVA0mPtIAtZxsEH0jG0tL1xGsLmJm+im/n4RGAQa198dXg1pxhnrSC/wrpNtasKukZH5QaAAcbfiLjcgYiX/bk3uWlNN/tfU8bmTlV/lziPFHn22Okr1OwvgH6+GTp5rL5TOI9AETIbrF6avpCL+ULD+oRnCNHyKj9mzrOmhe2wWZ+UX4/O+oKj/FPuPPM/hme8mq91N6BWNa78YsvCC9wkSIbrFoT0lvkDiH7+dqp3Y4RFSNzM3N8G7fknL65YficOZaepU8bmGxBq+uPC5L9EXe8/FTzfDiQw2q5LGJqhITIbplqvu1J67J7TFdOIEikSloW9cdT7Twg6ii/2Dt/ZfTi6k3xv90BH8evyYXev3vwFYYElqyzhmRvmEiROUs2XcZRRoF7YPcOc09kQl5s3cIbK3McSA6BRtPJ9zz42TmFWLY4oOyJN/G0hwLhrWVSRaRvmIiRDrZ+UX45cD/JlAkItMhToOP71pfbn+yIVL26lRWclY+Bi3Yj4PRKbLi9KfRoXg4xKsaoiWqOkyESGfV4Tg502uQpwO68cOLyORMeLA+fF1s5dpfoty9Mq6l5eK578Jx+moGPBys5QryomeZSN8xESJJTLW/eG/JPCJikjUxgJKITIudtYU8RSZ8u+OiHDNYEZeuZ+G5+eFy7jE/l5IV5JvVdqnmaImqBhMhkrZEJCA2JQeu9laynJaITJMYz9M20A05BcWYvensXduLKrP+34Xjalou6tVywG8vdES9Wo41EitRVWAiRNLC3SUl88+HBspfhURkmsQcPzNKy+n/OHYVx2JT/7XtocspGPjdftzIKkCz2s5YNT6MU26QwWEiRPKD7nBMqlyAcVgYS1yJTJ2oGH2uTUnP8PtrI+TEiDfbHpWEoYsOyIkYxVigX8Z2gIejjQrREt0fJkKEhaUTKD7R0g9ezrZqh0NEemByr2A4WFvgeFwa/jxxtdwxMdfY2KWHkVeowSMhXvhxVHs423IFeTJMTIRMXFxKDjaeipfbo0tXoiYi8nKyxUuPlMwEPWvjWTm9hrDsQAxeXn5Mzjf2ZEs/fDe0DWyteDqdDBdX0zRxYgJF0evdpaEnGvs6qx0OEemRUZ2CsPxgnCykmL/zohw/OHtTyXpkz3cIwAdPNGOFKRk8JkImLCOvECsOxclt9gYR0c1ET89bjzXGhJ+PYO72C/JHkzDx4QZ4vUcjLp5KRoGnxkzYioNxyMovQkMvRzzYqJba4RCRHurZ1Bsd63vokqC3H2uMN3oGMwkio8EeIRMlVob+YW+0bnFVfqgR0e2Iz4aZTzfHh+si8fgDvujXqrbaIRFVKSZCJkosqngtPQ+ejtZ4siU/2Ijo3wV6OGDh8LZqh0FULXhqzAQpiqJbR2hoh7qs+CAiIpPFRMgEHbqcipNX0mFjaS4rP4iIiEwVEyETtKC0N+jp1nU4EywREZk0JkImJvpGNv6JTJTbLJknIiJTx0TIxCzeEw1FgZwWv4EXV4gmIiLTxkTIhKTlFGDVkThdyTwREZGpYyJkQpYdiJWLJDbxdUZYPQ+1wyEiIjK8RGjXrl3o27cv/Pz85ERba9asuaU0e8aMGfD19YWdnR26d++O8+fPl2uTkpKCIUOGwNnZGa6urhg9ejSysrLKtTl58iS6dOkCW1tb+Pv7Y/bs2bfEsmrVKoSEhMg2zZs3x4YNGyodi6nILyqW64oJY7tyAkUiIqJ7SoSys7PRokULzJ0797bHRcLy1VdfYf78+Thw4AAcHBzQs2dP5OXl6dqIJOjMmTPYsmUL1q1bJ5OrcePG6Y5nZGSgR48eCAwMxJEjRzBnzhy89957+P7773Vt9u3bh0GDBskk6tixY+jXr5+8nD59ulKxmIq1J+JxPTMf3s426NPcT+1wiIiI9INyH8TdV69erdvXaDSKj4+PMmfOHN1taWlpio2NjfLrr7/K/YiICHm/Q4cO6dps3LhRMTMzU65evSr3v/32W8XNzU3Jz8/XtZk6daoSHBys2+/fv7/Sp0+fcvGEhoYq48ePr3Asd5Oeni5jFdeGTLwXPb/YqQROXad8u/2C2uEQERFVq8p8f1fpGKHo6GgkJCTIU1BaLi4uCA0NRXh4uNwX1+J0WNu2/5uuXbQ3NzeXvTbaNl27doW1tbWujejJiYqKQmpqqq5N2efRttE+T0ViuVl+fr7sjSp7MQZ7LyTjbEIm7K0tMLg9J1AkIiLSqtJESCQegre3d7nbxb72mLj28vIqd9zS0hLu7u7l2tzuMco+x7+1KXv8brHcbObMmTJZ0l7E2CRjmkCxf1t/uNhbqR0OERGR3mDVWBnTpk1Denq67hIXV1JqbsjOJWZi57nrEGOjR3ViyTwREVG1JUI+Pj7yOjGxZOZiLbGvPSauk5KSyh0vKiqSlWRl29zuMco+x7+1KXv8brHczMbGRlaylb0YukW7o+V1zyY+CPCwVzscIiIi402EgoKCZJKxdetW3W1inI0Y+xMWFib3xXVaWpqsBtPatm0bNBqNHL+jbSMqyQoLC3VtRIVZcHAw3NzcdG3KPo+2jfZ5KhKLsRNVYquPX9WVzBMREdF9JkJivp/jx4/Li3ZQstiOjY2Vc9NMmjQJH330Ef766y+cOnUKw4YNk3MOidJ2oXHjxujVqxfGjh2LgwcPYu/evZg4cSIGDhwo2wmDBw+WA6VFabwos1+xYgX++9//4rXXXtPF8corr2DTpk34/PPPcfbsWVlef/jwYflYQkViMXY/7Y9BQZEGLf1d0TqgJIEkIiKiMipbkrZ9+3ZZknbzZfjw4bpS7enTpyve3t6yVL1bt25KVFRUucdITk5WBg0apDg6OirOzs7KyJEjlczMzHJtTpw4oXTu3Fk+Ru3atZVZs2bdEsvKlSuVRo0aKdbW1krTpk2V9evXlztekViMtXw+t6BIafXB37Jkft2Ja2qHQ0REVGMq8/1tJv5TNjEilDuVJqrHxMBpQxsv9MuBWLy1+hRqu9ph5+SHYGnBcfFERGQaMirx/c1vRyOk0ShYtKekZH5U5yAmQURERP+C35BGaMe5JFy8ng0nG0v0b1tH7XCIiIj0FhMhI7SwtGR+UGgAnGw5gSIREdG/YSJkZM5cS8e+i8mwMDfD8I511Q6HiIhIrzERMjLaCRT7NPeVA6WJiIjo3zERMiIJ6Xn468Q1uT2mCydQJCIiuhsmQkZkafhlFGkUtA9yxwN1XNUOh4iISO8xETIS2flFWLY/Rm6P6czeICIioopgImQkfjtyBRl5RajrYY/ujb3VDoeIiMggMBEyAsVyAsWSQdKjOwfB3NxM7ZCIiIgMAhMhI7AlIhGxKTlwtbfCM204gSIREVFFMREyAgt3lyynMSQ0APbWlmqHQ0REZDCYCBm4Y7GpOByTCisLMwwP4wSKRERElcFEyMAtLB0b9ESL2vBytlU7HCIiIoPCRMiAxaXkYOOpeLnNCRSJiIgqj4mQAVuy7zI0CtC5gSca+zqrHQ4REZHBYSJkoDLyCrHiUJzcZm8QERHRvWEiZKBWHIxDVn4RGno54sFGtdQOh4iIyCAxETJAhcUa/LA3WtcbZGbGCRSJiIjuBRMhA7TxdAKupefB09EaT7asrXY4REREBouJkIFRFEU3geLQDnVha2WhdkhEREQGi4mQgTl0ORUnr6TDxtIcz3cIUDscIiIig8ZEyMAsKO0Nerp1HXg42qgdDhERkUFjImRAom9k45/IRN0q80RERHR/mAgZkMV7oqEowCMhXmjg5ah2OERERAaPiZCBSMspwKojnECRiIioKjERMhDLDsQir1CDJr7OCKvnoXY4RERERoGJkAHILyqW64oJY7tyAkUiIqKqwkTIAKw9EY/rmfnwdrZBn+Z+aodDRERkNJgIGdAEiiM6BsHakv/LiIiIqgq/VfXc3gvJOJuQCXtrCwxuzwkUiYiIqhITIT23cE9Jb1D/tv5wsbdSOxwiIiKjwkRIj51PzMSOqOsQY6NHdqqrdjhERERGh4mQHlu0J1pe92zig0APB7XDISIiMjpMhPSUqBL749hVuc0JFImIiKoHEyE99fP+GBQUadDS3xVtAt3UDoeIiMgoMRHSQ3mFxfhpf4yuN4gTKBIREVUPJkJ6aPWxq0jJLkBtVzv0auqjdjhERERGi4mQntFo/jeBoqgUs7Tg/yIiIqLqwm9ZPbPz3HVcvJ4NJxtLDGjnr3Y4RERERo2JkJ5ZUNobNLC9P5xsOYEiERFRdWIipEfOXEvHvovJsDA3w4hOLJknIiKqbkyE9Mii3SUTKD7W3FcOlCYiIqLqxURITySk5+GvE9fk9lhOoEhERFQjmAjpiaXhl1GkUdC+rjseqOOqdjhEREQmgYmQHsjOL8KyMhMoEhERkYEmQsXFxZg+fTqCgoJgZ2eH+vXr48MPP4SiKLo2YnvGjBnw9fWVbbp3747z58+Xe5yUlBQMGTIEzs7OcHV1xejRo5GVlVWuzcmTJ9GlSxfY2trC398fs2fPviWeVatWISQkRLZp3rw5NmzYAH3z25EryMgrQl0Pe3Rr7K12OERERCajyhOhTz/9FPPmzcM333yDyMhIuS8SlK+//lrXRux/9dVXmD9/Pg4cOAAHBwf07NkTeXl5ujYiCTpz5gy2bNmCdevWYdeuXRg3bpzueEZGBnr06IHAwEAcOXIEc+bMwXvvvYfvv/9e12bfvn0YNGiQTKKOHTuGfv36ycvp06ehL4o1im6V+dGdg2TFGBEREdUQpYr16dNHGTVqVLnbnn76aWXIkCFyW6PRKD4+PsqcOXN0x9PS0hQbGxvl119/lfsRERGi+0g5dOiQrs3GjRsVMzMz5erVq3L/22+/Vdzc3JT8/Hxdm6lTpyrBwcG6/f79+8t4ygoNDVXGjx9fodeSnp4u4xDX1WXjqXglcOo65YH3NivZ+YXV9jxERESmIr0S399V3iPUsWNHbN26FefOnZP7J06cwJ49e9C7d2+5Hx0djYSEBHk6TMvFxQWhoaEIDw+X++JanA5r27atro1ob25uLnuQtG26du0Ka2trXRvRqxQVFYXU1FRdm7LPo22jfR59oF1O4/kOAbC3tlQ7HCIiIpNS5d+8b775pjxtJcblWFhYyDFDH3/8sTzVJYgkSPD2Lj8WRuxrj4lrLy+v8oFaWsLd3b1cGzEO6ebH0B5zc3OT13d6npvl5+fLi5Z4HdXpWGwqDsekwsrCDMPD6lbrcxEREdGtqrxHaOXKlVi2bBl++eUXHD16FEuXLsVnn30mr/XdzJkzZe+U9iIGYFenhaVjg55oURtezrbV+lxERERUA4nQ5MmTZa/QwIEDZZXW0KFD8eqrr8okQ/Dx8ZHXiYmJ5e4n9rXHxHVSUlK540VFRbKSrGyb2z1G2ef4tzba4zebNm0a0tPTdZe4uDhUl7iUHGw8FS+3WTJPRERkJIlQTk6OHMtTljhFptFo5LY4nSUSETGOqOwpKDH2JywsTO6L67S0NFkNprVt2zb5GGIskbaNqCQrLCzUtREVZsHBwfK0mLZN2efRttE+z81sbGxkuX7ZS3VZsu8yNArQuYEnGvtW3/MQERHRHVT1SO3hw4crtWvXVtatW6dER0crf/zxh+Lp6alMmTJF12bWrFmKq6ur8ueffyonT55UnnzySSUoKEjJzc3VtenVq5fSqlUr5cCBA8qePXuUhg0bKoMGDSpXaebt7a0MHTpUOX36tLJ8+XLF3t5e+e6773Rt9u7dq1haWiqfffaZEhkZqbz77ruKlZWVcurUKVWrxtJzC5SmMzbJarHtZxOr9LGJiIhMXXolvr+rPBHKyMhQXnnlFSUgIECxtbVV6tWrp7z99tvlytxFCf306dNlIiPK5rt166ZERUWVe5zk5GSZ+Dg6OirOzs7KyJEjlczMzHJtTpw4oXTu3Fk+hki+RIJ1s5UrVyqNGjVSrK2tlaZNmyrr16+v8GuprkQoLiVbGb3kkNLj/3bK94KIiIiqTmW+v83Ef+7UY2TKxCk7MWhajBeqjtNkeYXFsLWyqPLHJSIiMmUZlfj+5lpjKmISREREpC4mQkRERGSymAgRERGRyWIiRERERCaLiRARERGZLCZCREREZLKYCBEREZHJYiJEREREJouJEBEREZksJkJERERkspgIERERkcliIkREREQmi4kQERERmSwmQkRERGSyLNUOQJ8piiKvMzIy1A6FiIiIKkj7va39Hr8TJkJ3kJmZKa/9/f3VDoWIiIju4XvcxcXljm3MlIqkSyZKo9Hg2rVrcHJygpmZWZVnqyLBiouLg7Ozc5U+trHhe1VxfK8qju9V5fD9qji+V+q/VyK1EUmQn58fzM3vPAqIPUJ3IN68OnXqVOtziP/x/IdSMXyvKo7vVcXxvaocvl8Vx/dK3ffqbj1BWhwsTURERCaLiRARERGZLCZCKrGxscG7774rr+nO+F5VHN+riuN7VTl8vyqO75VhvVccLE1EREQmiz1CREREZLKYCBEREZHJYiJEREREJouJEBEREZksJkLVaMSIEXJG6psvvXr1ksfr1q0r9/fv31/ufpMmTcJDDz2kUtRk6H9bYjZ0Nzc3fPXVV+Xuc+DAAVhZWeHvv/9WLW4ynL+tCRMm3HLspZdeksdEG23bfv36qRAlGZrr16/jhRdeQEBAgKwQ8/HxQc+ePbF3795y34c3X2bNmlXtsXFm6Womvph++OGHcreVLRO0tbXF1KlTsXPnThWiI2P82xJJ0Ndff43x48ejd+/eaNiwIXJzczF8+HCMGTMGPXr0UC1mMgxiyYPly5fjiy++gJ2dnbwtLy8Pv/zyi/wiI6qsZ555BgUFBVi6dCnq1auHxMREbN26FcnJybo2H3zwAcaOHVvufmKJq+rGRKiaaTPffzNu3DjMnz8fGzZswGOPPVajsZHx/m09//zz+OOPP+Qv9t27d2PatGkoLCzEnDlzajxOMjytW7fGxYsX5d/QkCFD5G1iWyRBQUFBaodHBiYtLU1+Du3YsQMPPvigvC0wMBDt27e/Jem50/dldeGpMZWJDxXRBS2+qMQir0RVRSTY58+fl19k33zzjew9cnR0VDssMhCjRo0q1+O4ePFijBw5UtWYyDA5OjrKy5o1a5Cfnw99w0Somq1bt073R6C9fPLJJ+XavPPOO4iOjsayZctUi5OM72/Ly8sLH374oTzFIXoeu3btqmq8ZFhEr+KePXsQExMjL2Ish7iNqLIsLS2xZMkSeVrM1dUVnTp1wltvvYWTJ0+WayeGidz8mSZ6kqobT41Vs4cffhjz5s0rd5u7u3u5/Vq1auGNN97AjBkzMGDAgBqOkIz1b6u4uFh++Njb28sB+UVFRfIDiagixOdSnz595N+QWIBAbHt6eqodFhnwGKE+ffrIxEZ8Hm3cuBGzZ8/GwoULdYPvJ0+erNvWql27drXHxk/Faubg4IAGDRrctd1rr72Gb7/9Vl6IquJv67PPPsOlS5dw+PBheV5e9BaJZJuoMqfHJk6cKLfnzp2rdjhk4GxtbfHoo4/Ky/Tp02XxhlhnTJv8iES7It+XVY2nxvSE6AIUfxgff/wxMjMz1Q6HDNyZM2fkB4zoMWrcuLG8/uijj27piia6W2WiqPQRA+1FqTNRVWrSpAmys7OhNvYIVTMxMCwhIaHcbeL0xO26mMU4DlGuKkpUQ0NDazBKMqa/LXEOXpTKP/300/Ki7ZYWF/HL6+DBgzxFRhViYWGByMhI3TbRvRAl8s8995zsYXzggQdkdZjoqRanxp588kldO9EJcPNnmji17+zsjOrET8NqtmnTJvj6+pa7LTg4GGfPnr2lrZjsTgxuHTx4cA1GSMb2tyX+fq5evXrLxIni1EbTpk15iowqpbq/hMg0zniEhobKH/piWgbRwyjmqhJzBolB01ric+nmzyYxH5qogK1OZooYBUdERERkgjhGiIiIiEwWEyEiIiIyWUyEiIiIyGQxESIiIiKTxUSIiIiITBYTISIiIjJZTISIiIjIZDERIiKDc/nyZZiZmeH48eMwFHXr1sWXX35Zo8/50EMPYdKkSTX6nESGhjNLE5HBEbPSxsfHczV0IrpvTISIyKCIRUCtra3h4+OjdihEZAR4aoyI/pVGo8HMmTMRFBQEOzs7tGjRAr/99hvEyjzdu3eXK5JrV+lJSUlBnTp1dGsF7dixQ56+Wr9+vVxo0dbWFh06dMDp06fLPceePXvQpUsX+fiip+fll18utyK1OKUk1uAbNmyYXPdKLE58u1Nj4nF79+4t1zXy9vbG0KFDcePGjXKnicRjT5kyBe7u7jKReu+998rFkpaWJtc2EvcX8TZr1gzr1q2rcKyVIZ5rzJgxqFWrlnxdjzzyCE6cOCGPnTt3Tr6+m9ckFGs11a9fv8KvmYjujokQEf0rkQT9+OOPctHDM2fO4NVXX8Xzzz+PXbt2YenSpTh06BC++uor2XbChAmoXbv2LYsmTp48GZ9//rlsK770+/btKxddFMQCjL169cIzzzyDkydPYsWKFTLZmDhxYrnH+Oyzz2QSduzYMUyfPv22SYVIJFq1aiVXtRYL0iYmJqJ///7l2omYHRwccODAAbny9QcffIAtW7bokj6RVOzduxc///wzIiIiMGvWLN2q6xWNtaLEatxJSUnYuHEjjhw5gtatW6Nbt24yoWzUqBHatm2LZcuWlbuP2NcuylzR10xEdyEWXSUiulleXp5ib2+v7Nu3r9zto0ePVgYNGiS3V65cqdja2ipvvvmm4uDgoJw7d07Xbvv27aKrSFm+fLnutuTkZMXOzk5ZsWKF7rHGjRtX7vF3796tmJubK7m5uXI/MDBQ6devX7k20dHR8rGPHTsm9z/88EOlR48e5drExcXJNlFRUXL/wQcfVDp37lyuTbt27ZSpU6fK7c2bN8vn1ba/WUVivRPxOr744gvd/ZydneV7XFb9+vWV7777Tm6LtmJfS8QlXk9kZGSlXvMrr7xy19iITBnHCBHRbV24cAE5OTl49NFHbxmjI3ohtL0aq1evlj0n8+bNQ8OGDW95nLCwMN22OCUVHByMyMhIuS9OBYnelbI9H+JUm+idiY6ORuPGjeVtonfkTsTjbN++XZ4iupnoyRE9LII4RVeWr6+v7JURxGk2cWpP2/Z2z1GRWCtCPFZWVhY8PDzK3Z6bmyvjFQYOHIg33ngD+/fvl6cUxfOKXqOQkJBKvWYiujMmQkR0W+KLWhBjfMQpr7JsbGzktUiUxGkdcfro/Pnz9/QcYkyOGGtzs4CAAN22OJ11t8cRp9w+/fTTW46JZEfLysqq3DExDkckMoIY91MVsVaEeCwRlxhHdTNXV1d5LcYwiVNfv/zyi0yExPULL7xQ6ddMRHfGRIiIbqtJkyYy4YmNjcWDDz542zavv/46zM3N5TiXxx57DH369JFf3mWJHg1topCamioHAmt7T0QPhxiL06BBg/uKVTzO77//LgdWW1re28ea6C26cuWKjO92vSlVFav2sRISEmSsIuZ/M2TIEDm4e9CgQbh06ZLsJarK10xEHCxNRP/CyclJnpoRA6TFIGNxuuXo0aP4+uuv5b7oKVq8eLE8ZSNOn4lB0cOHD5fJTlliQPLWrVtlhdOIESPk3D/9+vWTx6ZOnYp9+/bJAcfi1JToVfrzzz8rPQD5pZdekoOMRcIgBmWLWDdv3oyRI0eiuLi4Qo8hkr2uXbvKwdBiALU43SUSPDEIuSpjFUTFnThlKN6Hv//+W1bBicd+++235cBnraeffhqZmZmyJ+jhhx+Gn59flb5mImIiRER3IMrWRZWWqB4TvTiiakokQKIXYvTo0bL8XPRMCO+//74s4RbVY2WJ8UOvvPIK2rRpI3tB1q5dK+cB0vbC7Ny5U/bCiLJ0MfZIVJ2V/cKvCNFeVHuJBKBHjx5o3ry5nFFZnGYSPVYVJXpY2rVrJ5ML0SMmemO0SUVVxao9JbdhwwaZeInERfRAid6emJgY+R6WTUbF6S8xHkj0DlXHayYydWZixLTaQRCR8RHjX0Qvhugh0o57ISLSN/zZQERERCaLiRAR0X3avXu3LGP/twsR6S+eGiMiuk9i/p+rV6/+6/GqqDQjourBRIiIiIhMFk+NERERkcliIkREREQmi4kQERERmSwmQkRERGSymAgRERGRyWIiRERERCaLiRARERGZLCZCREREBFP1/w95jkdXgnCTAAAAAElFTkSuQmCC"
|
||
},
|
||
"metadata": {},
|
||
"output_type": "display_data"
|
||
}
|
||
],
|
||
"execution_count": 200
|
||
},
|
||
{
|
||
"metadata": {},
|
||
"cell_type": "markdown",
|
||
"source": "Столбчатая диаграмма",
|
||
"id": "e7d9ec41f63a0d13"
|
||
},
|
||
{
|
||
"metadata": {
|
||
"ExecuteTime": {
|
||
"end_time": "2025-04-06T09:20:25.005789Z",
|
||
"start_time": "2025-04-06T09:20:24.944826Z"
|
||
}
|
||
},
|
||
"cell_type": "code",
|
||
"source": "df.groupby('experience_level')['salary_in_usd'].mean().plot.bar(x = 'experience_level', y = 'salary_in_usd')",
|
||
"id": "6c84d274f16bacf5",
|
||
"outputs": [
|
||
{
|
||
"data": {
|
||
"text/plain": [
|
||
"<Axes: xlabel='experience_level'>"
|
||
]
|
||
},
|
||
"execution_count": 199,
|
||
"metadata": {},
|
||
"output_type": "execute_result"
|
||
},
|
||
{
|
||
"data": {
|
||
"text/plain": [
|
||
"<Figure size 640x480 with 1 Axes>"
|
||
],
|
||
"image/png": 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"
|
||
},
|
||
"metadata": {},
|
||
"output_type": "display_data"
|
||
}
|
||
],
|
||
"execution_count": 199
|
||
},
|
||
{
|
||
"metadata": {},
|
||
"cell_type": "markdown",
|
||
"source": "Гистограмма",
|
||
"id": "7442c01d68dc0caf"
|
||
},
|
||
{
|
||
"metadata": {
|
||
"ExecuteTime": {
|
||
"end_time": "2025-04-06T09:20:23.420955Z",
|
||
"start_time": "2025-04-06T09:20:23.361651Z"
|
||
}
|
||
},
|
||
"cell_type": "code",
|
||
"source": "df['salary_in_usd'].value_counts().plot.hist()",
|
||
"id": "aa5198d4ebb0e892",
|
||
"outputs": [
|
||
{
|
||
"data": {
|
||
"text/plain": [
|
||
"<Axes: ylabel='Frequency'>"
|
||
]
|
||
},
|
||
"execution_count": 198,
|
||
"metadata": {},
|
||
"output_type": "execute_result"
|
||
},
|
||
{
|
||
"data": {
|
||
"text/plain": [
|
||
"<Figure size 640x480 with 1 Axes>"
|
||
],
|
||
"image/png": 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"
|
||
},
|
||
"metadata": {},
|
||
"output_type": "display_data"
|
||
}
|
||
],
|
||
"execution_count": 198
|
||
},
|
||
{
|
||
"metadata": {},
|
||
"cell_type": "markdown",
|
||
"source": "Ящик с усами",
|
||
"id": "2c9694ae487d9945"
|
||
},
|
||
{
|
||
"metadata": {
|
||
"ExecuteTime": {
|
||
"end_time": "2025-04-06T09:20:22.285594Z",
|
||
"start_time": "2025-04-06T09:20:22.237441Z"
|
||
}
|
||
},
|
||
"cell_type": "code",
|
||
"source": "df['salary_in_usd'].plot.box()",
|
||
"id": "a58121b3c153df26",
|
||
"outputs": [
|
||
{
|
||
"data": {
|
||
"text/plain": [
|
||
"<Axes: >"
|
||
]
|
||
},
|
||
"execution_count": 197,
|
||
"metadata": {},
|
||
"output_type": "execute_result"
|
||
},
|
||
{
|
||
"data": {
|
||
"text/plain": [
|
||
"<Figure size 640x480 with 1 Axes>"
|
||
],
|
||
"image/png": 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"
|
||
},
|
||
"metadata": {},
|
||
"output_type": "display_data"
|
||
}
|
||
],
|
||
"execution_count": 197
|
||
},
|
||
{
|
||
"metadata": {},
|
||
"cell_type": "markdown",
|
||
"source": "Диаграмма с областями",
|
||
"id": "2a68d9c0716f2014"
|
||
},
|
||
{
|
||
"metadata": {
|
||
"ExecuteTime": {
|
||
"end_time": "2025-04-06T09:20:21.164859Z",
|
||
"start_time": "2025-04-06T09:20:21.092950Z"
|
||
}
|
||
},
|
||
"cell_type": "code",
|
||
"source": [
|
||
"pd.DataFrame({\n",
|
||
" 'salary': df.loc[1:100, 'salary'],\n",
|
||
" 'salary_in_usd': df.loc[1:100, 'salary_in_usd'],\n",
|
||
" 'experience_level': df.loc[1:100, 'experience_level'],\n",
|
||
"}).plot.area(x='experience_level')"
|
||
],
|
||
"id": "1e1736e92ffd3298",
|
||
"outputs": [
|
||
{
|
||
"data": {
|
||
"text/plain": [
|
||
"<Axes: xlabel='experience_level'>"
|
||
]
|
||
},
|
||
"execution_count": 196,
|
||
"metadata": {},
|
||
"output_type": "execute_result"
|
||
},
|
||
{
|
||
"data": {
|
||
"text/plain": [
|
||
"<Figure size 640x480 with 1 Axes>"
|
||
],
|
||
"image/png": 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"
|
||
},
|
||
"metadata": {},
|
||
"output_type": "display_data"
|
||
}
|
||
],
|
||
"execution_count": 196
|
||
},
|
||
{
|
||
"metadata": {},
|
||
"cell_type": "markdown",
|
||
"source": "Диаграмма рассеяния",
|
||
"id": "1d285d9d61b68497"
|
||
},
|
||
{
|
||
"metadata": {
|
||
"ExecuteTime": {
|
||
"end_time": "2025-04-06T09:20:19.724065Z",
|
||
"start_time": "2025-04-06T09:20:19.643843Z"
|
||
}
|
||
},
|
||
"cell_type": "code",
|
||
"source": "df.plot.scatter(x = 'experience_level', y = 'salary_currency')",
|
||
"id": "73334056de52acc",
|
||
"outputs": [
|
||
{
|
||
"data": {
|
||
"text/plain": [
|
||
"<Axes: xlabel='experience_level', ylabel='salary_currency'>"
|
||
]
|
||
},
|
||
"execution_count": 195,
|
||
"metadata": {},
|
||
"output_type": "execute_result"
|
||
},
|
||
{
|
||
"data": {
|
||
"text/plain": [
|
||
"<Figure size 640x480 with 1 Axes>"
|
||
],
|
||
"image/png": 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"
|
||
},
|
||
"metadata": {},
|
||
"output_type": "display_data"
|
||
}
|
||
],
|
||
"execution_count": 195
|
||
},
|
||
{
|
||
"metadata": {},
|
||
"cell_type": "markdown",
|
||
"source": "Круговая диаграмма",
|
||
"id": "941f0b350739edec"
|
||
},
|
||
{
|
||
"metadata": {
|
||
"ExecuteTime": {
|
||
"end_time": "2025-04-06T09:20:18.804909Z",
|
||
"start_time": "2025-04-06T09:20:18.763028Z"
|
||
}
|
||
},
|
||
"cell_type": "code",
|
||
"source": "df['experience_level'].value_counts().plot.pie()",
|
||
"id": "ec2682d3e337fc92",
|
||
"outputs": [
|
||
{
|
||
"data": {
|
||
"text/plain": [
|
||
"<Axes: ylabel='count'>"
|
||
]
|
||
},
|
||
"execution_count": 194,
|
||
"metadata": {},
|
||
"output_type": "execute_result"
|
||
},
|
||
{
|
||
"data": {
|
||
"text/plain": [
|
||
"<Figure size 640x480 with 1 Axes>"
|
||
],
|
||
"image/png": 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"
|
||
},
|
||
"metadata": {},
|
||
"output_type": "display_data"
|
||
}
|
||
],
|
||
"execution_count": 194
|
||
}
|
||
],
|
||
"metadata": {
|
||
"kernelspec": {
|
||
"display_name": "Python 3",
|
||
"language": "python",
|
||
"name": "python3"
|
||
},
|
||
"language_info": {
|
||
"codemirror_mode": {
|
||
"name": "ipython",
|
||
"version": 2
|
||
},
|
||
"file_extension": ".py",
|
||
"mimetype": "text/x-python",
|
||
"name": "python",
|
||
"nbconvert_exporter": "python",
|
||
"pygments_lexer": "ipython2",
|
||
"version": "2.7.6"
|
||
}
|
||
},
|
||
"nbformat": 4,
|
||
"nbformat_minor": 5
|
||
}
|