JuppyteerLab/week2_analysis.ipynb
2026-05-06 18:15:50 +03:00

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{
"cells": [
{
"cell_type": "code",
"execution_count": 3,
"id": "8f1bf0ec-7633-44d5-9d47-a876f3f8f737",
"metadata": {},
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
"Первый взгляд на данные:\n",
" ФИО Возраст Оценки\n",
"0 Ренат 23 81\n",
"1 Никита 22 78\n",
"2 Кирилл 19 86\n",
"3 Илья 25 76\n",
"\n",
"Системная информация о таблице:\n",
"<class 'pandas.DataFrame'>\n",
"RangeIndex: 4 entries, 0 to 3\n",
"Data columns (total 3 columns):\n",
" # Column Non-Null Count Dtype\n",
"--- ------ -------------- -----\n",
" 0 ФИО 4 non-null str \n",
" 1 Возраст 4 non-null int64\n",
" 2 Оценки 4 non-null int64\n",
"dtypes: int64(2), str(1)\n",
"memory usage: 228.0 bytes\n",
"None\n",
"\n",
"Статистическая сводка:\n",
" Возраст Оценки\n",
"count 4.00 4.000000\n",
"mean 22.25 80.250000\n",
"std 2.50 4.349329\n",
"min 19.00 76.000000\n",
"25% 21.25 77.500000\n",
"50% 22.50 79.500000\n",
"75% 23.50 82.250000\n",
"max 25.00 86.000000\n",
"\n",
"Проверка на отсутствующие данные:\n",
"ФИО 0\n",
"Возраст 0\n",
"Оценки 0\n",
"dtype: int64\n",
"\n",
"Обновленный DataFrame с дополнительными баллами:\n",
" ФИО Возраст Оценки Дополнительные Баллы\n",
"0 Ренат 23 81 97.2\n",
"1 Никита 22 78 93.6\n",
"2 Кирилл 19 86 103.2\n",
"3 Илья 25 76 91.2\n",
"\n",
"Группировка по возрасту (средний балл):\n",
" Оценки\n",
"Возраст \n",
"19 86.0\n",
"22 78.0\n",
"23 81.0\n",
"25 76.0\n",
"\n",
"Потребуется: студенты, которым больше 21 лет:\n",
" ФИО Возраст Оценки Дополнительные Баллы\n",
"0 Ренат 23 81 97.2\n",
"1 Никита 22 78 93.6\n",
"3 Илья 25 76 91.2\n",
"\n",
"--- Математические операции с numpy ---\n",
"Суммарное значение элементов: 25\n",
"Средний показатель: 5.0\n",
"Медианное значение: 5.0\n",
"Стандартное отклонение: 2.8284271247461903\n",
"\n",
"Матрица 2x2:\n",
"[[1 3]\n",
" [5 7]]\n",
"\n",
"Равномерно распределённые числа от -1 до 1 (8 значений):\n",
"[-5. -2.5 0. 2.5 5. ]\n",
"\n",
"Полученные значения из нормального распределения (4х4):\n",
"[[ 0.35716372 0.70235756 0.66136613 -1.06119039 0.34697262]\n",
" [ 0.41563651 -0.56808265 -0.24628306 0.89924839 -0.62027043]\n",
" [-0.27438315 0.32306686 1.70828784 1.23302475 1.45374835]\n",
" [ 0.18450677 0.57201517 -3.09569119 1.79579105 -0.61741201]\n",
" [-0.57069763 0.42029197 1.06887692 1.56673026 -2.2769301 ]]\n",
"\n",
"Результат умножения матриц M1 и M2:\n",
"[[20 28]\n",
" [52 76]]\n"
]
}
],
"source": [
"import pandas as pd\n",
"import numpy as np\n",
"\n",
"# 1. Создание таблицы\n",
"dataset = {\n",
" \"ФИО\": [\"Ренат\", \"Никита\", \"Кирилл\", \"Илья\"],\n",
" \"Возраст\": [23, 22, 19, 25],\n",
" \"Оценки\": [81, 78, 86, 76]\n",
"}\n",
"\n",
"df = pd.DataFrame(dataset)\n",
"\n",
"# Анализ содержимого\n",
"print(\"Первый взгляд на данные:\")\n",
"print(df.head()) # Вывод первых строк таблицы\n",
"print(\"\\nСистемная информация о таблице:\")\n",
"print(df.info()) # Общая информация о DataFrame\n",
"print(\"\\nСтатистическая сводка:\")\n",
"print(df.describe()) # Основные статистические показатели\n",
"print(\"\\nПроверка на отсутствующие данные:\")\n",
"print(df.isnull().sum()) # Подсчёт пропущенных значений\n",
"\n",
"# 2. Добавление вычисляемого столбца\n",
"df[\"Дополнительные Баллы\"] = df[\"Оценки\"] * 1.2\n",
"print(\"\\nОбновленный DataFrame с дополнительными баллами:\")\n",
"print(df)\n",
"\n",
"# 3. Группировка информации\n",
"df_grouped = df.groupby(\"Возраст\").agg({\"Оценки\": \"mean\"})\n",
"print(\"\\nГруппировка по возрасту (средний балл):\")\n",
"print(df_grouped)\n",
"\n",
"# 4. Фильтрация по критериям \n",
"df_filtered = df[df[\"Возраст\"] > 21]\n",
"print(\"\\nПотребуется: студенты, которым больше 21 лет:\")\n",
"print(df_filtered)\n",
"\n",
"# 5. Использование numpy\n",
"numbers = np.array([1, 3, 5, 7, 9])\n",
"print(\"\\n--- Математические операции с numpy ---\")\n",
"print(\"Суммарное значение элементов:\", np.sum(numbers))\n",
"print(\"Средний показатель:\", np.mean(numbers))\n",
"print(\"Медианное значение:\", np.median(numbers))\n",
"print(\"Стандартное отклонение:\", np.std(numbers))\n",
"\n",
"# Двумерный массив\n",
"array_2d = np.array([[1, 3], [5, 7]])\n",
"print(\"\\nМатрица 2x2:\")\n",
"print(array_2d)\n",
"\n",
"# Генерация значений\n",
"sequence = np.linspace(-5, 5, 5)\n",
"print(\"\\nРавномерно распределённые числа от -1 до 1 (8 значений):\")\n",
"print(sequence)\n",
"\n",
"random_matrix = np.random.randn(5, 5)\n",
"print(\"\\nПолученные значения из нормального распределения (4х4):\")\n",
"print(random_matrix)\n",
"\n",
"# Операции над матрицами\n",
"M1 = np.array([[1, 3], [5, 7]])\n",
"M2 = np.array([[2, 4], [6, 8]])\n",
"matrix_product = np.dot(M1, M2)\n",
"\n",
"print(\"\\nРезультат умножения матриц M1 и M2:\")\n",
"print(matrix_product)"
]
},
{
"cell_type": "code",
"execution_count": 7,
"id": "e0b75a88-e04c-44d6-bf84-2dc254928262",
"metadata": {},
"outputs": [
{
"data": {
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",
"text/plain": [
"<Figure size 1000x500 with 1 Axes>"
]
},
"metadata": {},
"output_type": "display_data"
},
{
"data": {
"image/png": 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",
"text/plain": [
"<Figure size 1000x500 with 1 Axes>"
]
},
"metadata": {},
"output_type": "display_data"
},
{
"data": {
"image/png": 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",
"text/plain": [
"<Figure size 1000x500 with 1 Axes>"
]
},
"metadata": {},
"output_type": "display_data"
},
{
"data": {
"image/png": 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",
"text/plain": [
"<Figure size 1000x500 with 1 Axes>"
]
},
"metadata": {},
"output_type": "display_data"
}
],
"source": [
"import numpy as np\n",
"import matplotlib.pyplot as plt\n",
"\n",
"# 1. Генерация данных для графиков\n",
"x = np.linspace(0, 3, 30)\n",
"y_sin = np.sin(x)\n",
"y_tan = np.tan(x)\n",
"\n",
"# 2. Визуализация графика sin(x) и tan(x) \n",
"plt.figure(figsize=(10, 5))\n",
"plt.plot(x, y_sin, label=\"sin(x)\", color=\"red\", linewidth=2)\n",
"plt.plot(x, y_tan, label=\"tan(x)\", color=\"blue\", linewidth=2)\n",
"plt.xlabel(\"Значение X\")\n",
"plt.ylabel(\"Значение Y\")\n",
"plt.title(\"График sin(x) и tan(x)\")\n",
"plt.axhline(0, color=\"black\", linewidth=0.5, linestyle='--') # Линия уровня y=0\n",
"plt.axvline(0, color=\"black\", linewidth=0.5, linestyle='--') # Линия уровня x=0\n",
"plt.legend()\n",
"plt.grid(True, alpha=0.3)\n",
"plt.show()\n",
"\n",
"# 3. Столбчатая диаграмма (Bar chart)\n",
"np.random.seed(99)\n",
"random_values = np.random.randint(1, 9, size=9)\n",
"\n",
"plt.figure(figsize=(10, 5))\n",
"plt.bar(range(len(random_values)), random_values, color=\"green\", alpha=0.75, edgecolor='black')\n",
"plt.xlabel(\"Индексы\")\n",
"plt.ylabel(\"Случайные числа\")\n",
"plt.title(\"Столбчатая диаграмма\")\n",
"plt.grid(axis='y', alpha=0.3)\n",
"plt.show()\n",
"\n",
"# 4. Точечная диаграмма (Scatter plot)\n",
"plt.figure(figsize=(10, 5))\n",
"plt.scatter(range(len(random_values)), random_values, color=\"black\", alpha=0.75, s=100)\n",
"plt.xlabel(\"Позиции\")\n",
"plt.ylabel(\"Значения\")\n",
"plt.title(\"Диаграмма рассеяния\")\n",
"plt.grid(True, alpha=0.3)\n",
"plt.show()\n",
"\n",
"# 5. Гистограмма распределения (Histogram)\n",
"plt.figure(figsize=(10, 5))\n",
"plt.hist(random_values, bins=6, color=\"pink\", alpha=0.75, edgecolor='black')\n",
"plt.xlabel(\"Диапазоны значений\")\n",
"plt.ylabel(\"Частота\")\n",
"plt.title(\"Гистограмма распределения\")\n",
"plt.grid(axis='y', alpha=0.3)\n",
"plt.show()\n"
]
},
{
"cell_type": "code",
"execution_count": 14,
"id": "17d2b0bf-46a5-4e5a-acbe-760c80d769ae",
"metadata": {},
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
"Таблица создана:\n",
" Имя Возраст Оценка Класс\n",
"0 Ренат 23 81 A\n",
"1 Никита 22 78 B\n",
"2 Кирилл 19 86 A\n",
"3 Илья 25 76 B\n",
"4 Егор 20 84 A\n",
"5 Игорь 28 70 B\n",
"\n",
"==================================================\n",
"\n"
]
},
{
"data": {
"image/png": 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",
"text/plain": [
"<Figure size 1000x500 with 1 Axes>"
]
},
"metadata": {},
"output_type": "display_data"
},
{
"data": {
"image/png": 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",
"text/plain": [
"<Figure size 1000x500 with 1 Axes>"
]
},
"metadata": {},
"output_type": "display_data"
},
{
"data": {
"image/png": 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",
"text/plain": [
"<Figure size 1000x500 with 1 Axes>"
]
},
"metadata": {},
"output_type": "display_data"
},
{
"data": {
"image/png": 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",
"text/plain": [
"<Figure size 559.625x500 with 6 Axes>"
]
},
"metadata": {},
"output_type": "display_data"
},
{
"data": {
"image/png": 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",
"text/plain": [
"<Figure size 1000x500 with 2 Axes>"
]
},
"metadata": {},
"output_type": "display_data"
}
],
"source": [
"import pandas as pd\n",
"import seaborn as sns\n",
"import matplotlib.pyplot as plt\n",
"\n",
"# 1. Создание DataFrame\n",
"df = pd.DataFrame({\n",
" \"Имя\": [\"Ренат\", \"Никита\", \"Кирилл\", \"Илья\", \"Егор\", \"Игорь\"],\n",
" \"Возраст\": [23, 22, 19, 25, 20, 28],\n",
" \"Оценка\": [81, 78, 86, 76, 84, 70],\n",
" \"Класс\": [\"A\", \"B\", \"A\", \"B\", \"A\", \"B\"]\n",
"})\n",
"print(\"Таблица создана:\")\n",
"print(df)\n",
"print(\"\\n\" + \"=\"*50 + \"\\n\")\n",
"# 2. Boxplot (ящик с усами) - распределение оценок по классам\n",
"plt.figure(figsize=(10, 5))\n",
"sns.boxplot(x=\"Класс\", y=\"Оценка\", data=df) \n",
"plt.title(\"Распределение оценок по классам\", fontsize=14)\n",
"plt.xlabel(\"Класс\", fontsize=12)\n",
"plt.ylabel(\"Оценка\", fontsize=12)\n",
"plt.grid(axis=\"y\", linestyle=\"-\", alpha=0.75)\n",
"plt.show()\n",
"\n",
"# 3. Histplot (гистограмма) - распределение оценок\n",
"plt.figure(figsize=(10, 5))\n",
"sns.histplot(df[\"Оценка\"], bins=5, kde=True, color=\"pink\", alpha=0.7)\n",
"plt.title(\"Распределение оценок\", fontsize=14)\n",
"plt.xlabel(\"Оценка\", fontsize=12)\n",
"plt.ylabel(\"Частота\", fontsize=12)\n",
"plt.grid(axis=\"y\", linestyle=\"-\", alpha=0.75)\n",
"plt.show()\n",
"\n",
"# 4. Scatterplot (точечная диаграмма) - зависимость оценок от возраста\n",
"plt.figure(figsize=(10, 5))\n",
"sns.scatterplot(x=\"Возраст\", y=\"Оценка\", hue=\"Класс\", style=\"Класс\", data=df, palette=\"coolwarm\", s=100)\n",
"plt.title(\"Зависимость оценок от возраста\", fontsize=14)\n",
"plt.xlabel(\"Возраст\", fontsize=12)\n",
"plt.ylabel(\"Оценка\", fontsize=12)\n",
"plt.legend(title=\"Класс\")\n",
"plt.grid(axis=\"both\", linestyle=\"-\", alpha=0.75)\n",
"plt.show()\n",
"\n",
"# 5. Pairplot (матрица диаграмм рассеяния) - парные зависимости\n",
"sns.pairplot(df, hue=\"Класс\", palette=\"husl\")\n",
"plt.suptitle(\"Парные зависимости в данных\", fontsize=16, y=1.1)\n",
"plt.show()\n",
"\n",
"# 6. Heatmap (тепловая карта) - корреляционная матрица\n",
"# Выбираем только числовые столбцы (Возраст и Оценка)\n",
"numeric_df = df[[\"Возраст\", \"Оценка\"]]\n",
"\n",
"plt.figure(figsize=(10, 5))\n",
"sns.heatmap(numeric_df.corr(), annot=True, cmap=\"coolwarm\", linewidths=0.5, fmt=\".2f\")\n",
"plt.title(\"Корреляционная матрица\", fontsize=14)\n",
"plt.show()"
]
},
{
"cell_type": "code",
"execution_count": 33,
"id": "1d848d77-5bef-403e-ac57-b9d162a30b78",
"metadata": {},
"outputs": [
{
"name": "stderr",
"output_type": "stream",
"text": [
"Загрузка: 100%|\u001b[31m██████████████████████\u001b[0m| 50/50 [00:00<00:00, 164.86it/s]\u001b[0m\n",
"Обработка: 100%|\u001b[31m██████████████████████\u001b[0m| 50/50 [00:00<00:00, 90.86it/s]\u001b[0m\n",
"Обработка записей: 25%|\u001b[32m█████████████████████████████████████████▊ \u001b[0m| 1/4 [00:00<00:01, 1.99it/s]\u001b[0m"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"Запись обработана: Гареев - 81 баллов\n"
]
},
{
"name": "stderr",
"output_type": "stream",
"text": [
"Обработка записей: 50%|\u001b[32m███████████████████████████████████████████████████████████████████████████████████▌ \u001b[0m| 2/4 [00:01<00:01, 1.99it/s]\u001b[0m"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"Запись обработана: Гунбин - 83 баллов\n"
]
},
{
"name": "stderr",
"output_type": "stream",
"text": [
"Обработка записей: 75%|\u001b[32m█████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████▎ \u001b[0m| 3/4 [00:01<00:00, 1.99it/s]\u001b[0m"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"Запись обработана: Сидоров - 75 баллов\n"
]
},
{
"name": "stderr",
"output_type": "stream",
"text": [
"Обработка записей: 100%|\u001b[32m███████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████\u001b[0m| 4/4 [00:02<00:00, 1.99it/s]\u001b[0m"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"Запись обработана: Шишкин - 86 баллов\n"
]
},
{
"name": "stderr",
"output_type": "stream",
"text": [
"\n"
]
}
],
"source": [
"from tqdm import tqdm\n",
"import time\n",
"import pandas as pd\n",
"\n",
"# прогресс-бар с измененным шагом и временем ожидания\n",
"for i in tqdm(range(50), desc=\"Загрузка\", ncols=70, position=0, colour=\"red\"):\n",
" time.sleep(0.005) # Симуляция процесса\n",
"\n",
"# кастомный прогресс-бар со стилизацией\n",
"for i in tqdm(range(50), desc='Обработка', colour=\"red\",position=0, ncols=70):\n",
" time.sleep(0.010) # Симуляция процесса\n",
"\n",
"# tqdm для работы с DataFrame\n",
"df = pd.DataFrame({\n",
" \"Фамилия\": [\"Гареев\", \"Гунбин\", \"Сидоров\", \"Шишкин\"],\n",
" \"Возраст\": [23, 22, 20, 28],\n",
" \"Рейтинг\": [81, 83, 75, 86]\n",
"})\n",
"\n",
"# итерация по строкам DataFrame с прогресс-баром\n",
"for index, row in tqdm(df.iterrows(), total=df.shape[0], desc=\"Обработка записей\",position=0, colour=\"green\",):\n",
" time.sleep(0.5) # Имитация обработки строки\n",
" print(f\"Запись обработана: {row['Фамилия']} - {row['Рейтинг']} баллов\")"
]
},
{
"cell_type": "code",
"execution_count": 60,
"id": "4dd17b4c-53fb-457f-9134-d88c23e2d789",
"metadata": {},
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
"\n",
" Первые 5 строк:\n",
" work_year job_title job_category \\\n",
"0 2022 Machine Learning Engineer in office Analysis \n",
"1 2020 Statistician (Remote) ML/AI \n",
"2 2022 Machine Learning Engineer ML/AI \n",
"3 2022 Data Analyst in office ML/AI \n",
"4 2020 Statistician Data Science \n",
"\n",
" salary_currency salary salary_in_usd employee_residence experience_level \\\n",
"0 EUR 186597 136086 US MI \n",
"1 JPY 110630 67982 JP EX \n",
"2 INR 61280 153309 UK MI \n",
"3 JPY 154130 135242 DE SE \n",
"4 EUR 172312 35156 UK MI \n",
"\n",
" employment_type work_setting company_location company_size \n",
"0 CT Remote DE L \n",
"1 FL Remote IN M \n",
"2 CT Hybrid CN L \n",
"3 FT Hybrid MX L \n",
"4 FT In-person UK S \n",
"\n",
" Информация о данных:\n",
"<class 'pandas.DataFrame'>\n",
"RangeIndex: 5000 entries, 0 to 4999\n",
"Data columns (total 12 columns):\n",
" # Column Non-Null Count Dtype\n",
"--- ------ -------------- -----\n",
" 0 work_year 5000 non-null int64\n",
" 1 job_title 5000 non-null str \n",
" 2 job_category 4500 non-null str \n",
" 3 salary_currency 4500 non-null str \n",
" 4 salary 5000 non-null int64\n",
" 5 salary_in_usd 5000 non-null int64\n",
" 6 employee_residence 5000 non-null str \n",
" 7 experience_level 4500 non-null str \n",
" 8 employment_type 5000 non-null str \n",
" 9 work_setting 5000 non-null str \n",
" 10 company_location 5000 non-null str \n",
" 11 company_size 4500 non-null str \n",
"dtypes: int64(3), str(9)\n",
"memory usage: 468.9 KB\n",
"None\n",
"\n",
" Очистительная статистика:\n",
" work_year salary salary_in_usd\n",
"count 5000.00000 5000.000000 5000.000000\n",
"mean 2020.97680 102046.307200 114076.995800\n",
"std 0.81951 70853.626492 49113.807687\n",
"min 2020.00000 -198754.000000 30016.000000\n",
"25% 2020.00000 64295.500000 71343.750000\n",
"50% 2021.00000 110636.000000 114167.000000\n",
"75% 2022.00000 153104.750000 156665.750000\n",
"max 2022.00000 199924.000000 199985.000000\n",
"\n",
" Обработка строк\n"
]
},
{
"name": "stderr",
"output_type": "stream",
"text": [
"\n",
"Обработка данных: 0%| | 0/5000 [00:00<?, ?it/s]\u001b[A\n",
"Обработка данных: 32%|███████████████████████████████████████████████████▍ | 1597/5000 [00:03<00:06, 532.13it/s]\u001b[A\n",
"Обработка данных: 64%|██████████████████████████████████████████████████████████████████████████████████████████████████████▊ | 3194/5000 [00:06<00:03, 531.27it/s]\u001b[A\n",
"Обработка данных: 100%|█████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████| 5000/5000 [00:09<00:00, 537.73it/s]\u001b[A\n"
]
},
{
"data": {
"image/png": 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",
"text/plain": [
"<Figure size 800x400 with 1 Axes>"
]
},
"metadata": {},
"output_type": "display_data"
},
{
"data": {
"image/png": 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",
"text/plain": [
"<Figure size 800x400 with 1 Axes>"
]
},
"metadata": {},
"output_type": "display_data"
},
{
"data": {
"image/png": 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",
"text/plain": [
"<Figure size 800x400 with 1 Axes>"
]
},
"metadata": {},
"output_type": "display_data"
}
],
"source": [
"import pandas as pd\n",
"import seaborn as sns\n",
"import matplotlib.pyplot as plt\n",
"from tqdm import tqdm\n",
"import time\n",
"file_path = \"data_science_job.csv\"\n",
"df = pd.read_csv(file_path)\n",
"print(\"\\n Первые 5 строк:\")\n",
"print(df.head())\n",
"print(\"\\n Информация о данных:\")\n",
"print(df.info())\n",
"print(\"\\n Очистительная статистика:\")\n",
"print(df.describe())\n",
"print(\"\\n Обработка строк\")\n",
"for index, row in tqdm(df.iterrows(), total=df.shape[0], desc=\"Обработка данных\", mininterval=3.0):\n",
" time.sleep(0.001) # Имитация вычислений\n",
"# Построение графиков\n",
"sns.set_style(\"whitegrid\")\n",
"# График 1: Гистограмма распределения зарплат в USD\n",
"plt.figure(figsize=(8, 4))\n",
"sns.histplot(df[\"salary_in_usd\"], bins=30, kde=True, color=\"royalblue\", alpha=0.7)\n",
"plt.title(\"Распределение зарплат (в USD)\", fontsize=14)\n",
"plt.xlabel(\"Зарплата (USD)\", fontsize=12)\n",
"plt.ylabel(\"Частота\", fontsize=12)\n",
"plt.grid(axis=\"y\", linestyle=\"-\", alpha=0.7)\n",
"plt.show()\n",
"# График 2: Scatterplot - зависимость зарплаты от года (work_year)\n",
"plt.figure(figsize=(8, 4))\n",
"sns.scatterplot(x=\"work_year\", y=\"salary_in_usd\", hue=\"experience_level\", data=df, palette=\"viridis\", alpha=0.6, s=30)\n",
"plt.title(\"Зависимость зарплаты от года (с разбивкой по опыту)\", fontsize=14)\n",
"plt.xlabel(\"Год\", fontsize=12)\n",
"plt.ylabel(\"Зарплата (USD)\", fontsize=12)\n",
"plt.legend(title=\"Уровень опыта\", bbox_to_anchor=(1.05, 1))\n",
"plt.grid(axis=\"both\", linestyle=\"-\", alpha=0.3)\n",
"plt.show()\n",
"# График 3: Boxplot - зарплаты по уровням опыта (experience_level)\n",
"plt.figure(figsize=(8, 4))\n",
"sns.boxplot(x=\"experience_level\", y=\"salary_in_usd\", data=df,)\n",
"plt.title(\"Распределение зарплат по уровням опыта\", fontsize=14)\n",
"plt.xlabel(\"Уровень опыта\", fontsize=12)\n",
"plt.ylabel(\"Зарплата (USD)\", fontsize=12)\n",
"plt.grid(axis=\"y\", linestyle=\"-\", alpha=0.7)\n",
"plt.show()"
]
},
{
"cell_type": "code",
"execution_count": null,
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