{
 "cells": [
  {
   "cell_type": "code",
   "execution_count": 2,
   "metadata": {},
   "outputs": [],
   "source": [
    "# Подключаем расширение для SQL\n",
    "%load_ext sql\n",
    "\n",
    "connection_string = \"postgresql+psycopg2://postgres:Krasava10&@localhost:5432/cars_data\"\n",
    "\n",
    "%sql $connection_string\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      " * postgresql+psycopg2://postgres:***@localhost:5432/cars_data\n",
      "Done.\n",
      "9915 rows affected.\n",
      "10080 rows affected.\n",
      "(psycopg2.errors.SyntaxError) ОШИБКА:  ошибка синтаксиса (примерное положение: \",\")\n",
      "LINE 3: RENAME COLUMN submodel TO brand,\n",
      "                                       ^\n",
      "\n",
      "[SQL: -- 4. Переименование колонок для единообразия\n",
      "ALTER TABLE cars_data\n",
      "RENAME COLUMN submodel TO brand,\n",
      "RENAME COLUMN transmission TO transmission_type,\n",
      "RENAME COLUMN drive TO drive_type,\n",
      "RENAME COLUMN steering_wheel TO steering_position;]\n",
      "(Background on this error at: https://sqlalche.me/e/20/f405)\n"
     ]
    }
   ],
   "source": [
    "%%sql\n",
    "\n",
    "-- 1. Добавляем новые колонки, если ещё не добавлены\n",
    "ALTER TABLE cars_data\n",
    "ADD COLUMN IF NOT EXISTS engine_volume_literage numeric,\n",
    "ADD COLUMN IF NOT EXISTS fuel_type text;\n",
    "\n",
    "-- 2. Безопасное обновление значений с разделением объема двигателя и типа топлива\n",
    "UPDATE cars_data\n",
    "SET\n",
    "    engine_volume_literage = CASE\n",
    "        WHEN engine_volume ~ '^\\d+(\\.\\d+)?' THEN regexp_replace(engine_volume, '\\s*\\(.*\\)', '')::numeric\n",
    "        ELSE NULL\n",
    "    END,\n",
    "    fuel_type = CASE\n",
    "        WHEN engine_volume ~ '\\(.*\\)' THEN regexp_replace(engine_volume, '.*\\((.*)\\)', '\\1')\n",
    "        ELSE NULL\n",
    "    END\n",
    "WHERE engine_volume IS NOT NULL\n",
    "  AND engine_volume <> 'Неизвестно';\n",
    "\n",
    "-- 3. Замена NULL на нужные значения\n",
    "UPDATE cars_data\n",
    "SET\n",
    "    engine_volume_literage = COALESCE(engine_volume_literage, 0),\n",
    "    fuel_type = COALESCE(fuel_type, 'Неизвестно');\n",
    "\n",
    "-- 4. Переименование колонок для единообразия\n",
    "ALTER TABLE cars_data\n",
    "RENAME COLUMN submodel TO brand,\n",
    "RENAME COLUMN transmission TO transmission_type,\n",
    "RENAME COLUMN drive TO drive_type,\n",
    "RENAME COLUMN steering_wheel TO steering_position;\n",
    "\n",
    "-- 5. Изменение типа колонки price на integer\n",
    "ALTER TABLE cars_data\n",
    "ALTER COLUMN price TYPE integer USING NULLIF(price, 'Неизвестно')::integer;\n",
    "\n",
    "-- 6. Добавление ограничения NOT NULL для колонок, где это имеет смысл\n",
    "ALTER TABLE cars_data\n",
    "ALTER COLUMN price SET NOT NULL,\n",
    "ALTER COLUMN mileage SET NOT NULL;\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      " * postgresql+psycopg2://postgres:***@localhost:5432/cars_data\n",
      "Done.\n",
      "Done.\n",
      "Done.\n",
      "Done.\n"
     ]
    },
    {
     "data": {
      "text/plain": [
       "[]"
      ]
     },
     "execution_count": 4,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "%%sql\n",
    "\n",
    "ALTER TABLE cars_data\n",
    "RENAME COLUMN submodel TO brand;\n",
    "\n",
    "ALTER TABLE cars_data\n",
    "RENAME COLUMN transmission TO transmission_type;\n",
    "\n",
    "ALTER TABLE cars_data\n",
    "RENAME COLUMN drive TO drive_type;\n",
    "\n",
    "ALTER TABLE cars_data\n",
    "RENAME COLUMN steering_wheel TO steering_position;\n"
   ]
  },
  {
   "attachments": {},
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "1️. Средняя цена по бренду"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      " * postgresql+psycopg2://postgres:***@localhost:5432/cars_data\n",
      "15 rows affected.\n"
     ]
    },
    {
     "data": {
      "text/html": [
       "<table>\n",
       "    <thead>\n",
       "        <tr>\n",
       "            <th>brand</th>\n",
       "            <th>avg_price</th>\n",
       "            <th>num_listings</th>\n",
       "        </tr>\n",
       "    </thead>\n",
       "    <tbody>\n",
       "        <tr>\n",
       "            <td>Новая Mercedes-Benz G 63 AMG в Астане</td>\n",
       "            <td>195500000</td>\n",
       "            <td>2</td>\n",
       "        </tr>\n",
       "        <tr>\n",
       "            <td>Седаны Mercedes-Maybach S 680 в Астане</td>\n",
       "            <td>194000000</td>\n",
       "            <td>1</td>\n",
       "        </tr>\n",
       "        <tr>\n",
       "            <td>Внедорожники Mercedes-Benz G 63 AMG в Алматы</td>\n",
       "            <td>189000000</td>\n",
       "            <td>1</td>\n",
       "        </tr>\n",
       "        <tr>\n",
       "            <td>Седаны Mercedes-Maybach S 580 в Астане</td>\n",
       "            <td>160000000</td>\n",
       "            <td>1</td>\n",
       "        </tr>\n",
       "        <tr>\n",
       "            <td>Внедорожники 5-дв.. Mercedes-Benz G 63 AMG в Астане</td>\n",
       "            <td>149333333</td>\n",
       "            <td>6</td>\n",
       "        </tr>\n",
       "        <tr>\n",
       "            <td>Седаны Porsche Taycan в Алматы</td>\n",
       "            <td>148323659</td>\n",
       "            <td>3</td>\n",
       "        </tr>\n",
       "        <tr>\n",
       "            <td>Седаны Mercedes-Maybach S 580 в Алматы</td>\n",
       "            <td>148181240</td>\n",
       "            <td>1</td>\n",
       "        </tr>\n",
       "        <tr>\n",
       "            <td>Внедорожники Mercedes-Benz GLS 450 в Алматы</td>\n",
       "            <td>140772000</td>\n",
       "            <td>1</td>\n",
       "        </tr>\n",
       "        <tr>\n",
       "            <td>С пробегом Mercedes-Benz G 63 AMG в Костанае</td>\n",
       "            <td>140000000</td>\n",
       "            <td>1</td>\n",
       "        </tr>\n",
       "        <tr>\n",
       "            <td>Внедорожники Mercedes-Benz GLS 63 AMG в Шымкенте</td>\n",
       "            <td>136000000</td>\n",
       "            <td>1</td>\n",
       "        </tr>\n",
       "        <tr>\n",
       "            <td>Новая BMW XM в Алматы</td>\n",
       "            <td>130000000</td>\n",
       "            <td>3</td>\n",
       "        </tr>\n",
       "        <tr>\n",
       "            <td>Новая Mercedes-Benz S 450 в Астане</td>\n",
       "            <td>128000000</td>\n",
       "            <td>1</td>\n",
       "        </tr>\n",
       "        <tr>\n",
       "            <td>Внедорожники 5-дв.. Mercedes-Benz G 63 AMG в Алматы</td>\n",
       "            <td>122288889</td>\n",
       "            <td>9</td>\n",
       "        </tr>\n",
       "        <tr>\n",
       "            <td>С пробегом Mercedes-Benz G 63 AMG в Уральске</td>\n",
       "            <td>110000000</td>\n",
       "            <td>1</td>\n",
       "        </tr>\n",
       "        <tr>\n",
       "            <td>Кроссоверы Porsche Cayenne Coupe в Астане</td>\n",
       "            <td>107380350</td>\n",
       "            <td>3</td>\n",
       "        </tr>\n",
       "    </tbody>\n",
       "</table>"
      ],
      "text/plain": [
       "[('Новая Mercedes-Benz G 63 AMG в Астане', Decimal('195500000'), 2),\n",
       " ('Седаны Mercedes-Maybach S 680 в Астане', Decimal('194000000'), 1),\n",
       " ('Внедорожники Mercedes-Benz G 63 AMG в Алматы', Decimal('189000000'), 1),\n",
       " ('Седаны Mercedes-Maybach S 580 в Астане', Decimal('160000000'), 1),\n",
       " ('Внедорожники 5-дв.. Mercedes-Benz G 63 AMG в Астане', Decimal('149333333'), 6),\n",
       " ('Седаны Porsche Taycan в Алматы', Decimal('148323659'), 3),\n",
       " ('Седаны Mercedes-Maybach S 580 в Алматы', Decimal('148181240'), 1),\n",
       " ('Внедорожники Mercedes-Benz GLS 450 в Алматы', Decimal('140772000'), 1),\n",
       " ('С пробегом Mercedes-Benz G 63 AMG в Костанае', Decimal('140000000'), 1),\n",
       " ('Внедорожники Mercedes-Benz GLS 63 AMG в Шымкенте', Decimal('136000000'), 1),\n",
       " ('Новая BMW XM в Алматы', Decimal('130000000'), 3),\n",
       " ('Новая Mercedes-Benz S 450 в Астане', Decimal('128000000'), 1),\n",
       " ('Внедорожники 5-дв.. Mercedes-Benz G 63 AMG в Алматы', Decimal('122288889'), 9),\n",
       " ('С пробегом Mercedes-Benz G 63 AMG в Уральске', Decimal('110000000'), 1),\n",
       " ('Кроссоверы Porsche Cayenne Coupe в Астане', Decimal('107380350'), 3)]"
      ]
     },
     "execution_count": 5,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "%%sql \n",
    "SELECT brand, \n",
    "       ROUND(AVG(price)) AS avg_price,\n",
    "       COUNT(*) AS num_listings\n",
    "FROM cars_data\n",
    "GROUP BY brand\n",
    "ORDER BY avg_price DESC\n",
    "LIMIT 15;\n"
   ]
  },
  {
   "attachments": {},
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "2️.Распределение автомобилей по типу топлива"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      " * postgresql+psycopg2://postgres:***@localhost:5432/cars_data\n",
      "6 rows affected.\n"
     ]
    },
    {
     "data": {
      "text/html": [
       "<table>\n",
       "    <thead>\n",
       "        <tr>\n",
       "            <th>fuel_type</th>\n",
       "            <th>total</th>\n",
       "            <th>percent</th>\n",
       "        </tr>\n",
       "    </thead>\n",
       "    <tbody>\n",
       "        <tr>\n",
       "            <td>бензин</td>\n",
       "            <td>8745</td>\n",
       "            <td>86.76</td>\n",
       "        </tr>\n",
       "        <tr>\n",
       "            <td>гибрид</td>\n",
       "            <td>440</td>\n",
       "            <td>4.37</td>\n",
       "        </tr>\n",
       "        <tr>\n",
       "            <td>дизель</td>\n",
       "            <td>368</td>\n",
       "            <td>3.65</td>\n",
       "        </tr>\n",
       "        <tr>\n",
       "            <td>газ-бензин</td>\n",
       "            <td>295</td>\n",
       "            <td>2.93</td>\n",
       "        </tr>\n",
       "        <tr>\n",
       "            <td>Неизвестно</td>\n",
       "            <td>165</td>\n",
       "            <td>1.64</td>\n",
       "        </tr>\n",
       "        <tr>\n",
       "            <td>газ</td>\n",
       "            <td>67</td>\n",
       "            <td>0.66</td>\n",
       "        </tr>\n",
       "    </tbody>\n",
       "</table>"
      ],
      "text/plain": [
       "[('бензин', 8745, Decimal('86.76')),\n",
       " ('гибрид', 440, Decimal('4.37')),\n",
       " ('дизель', 368, Decimal('3.65')),\n",
       " ('газ-бензин', 295, Decimal('2.93')),\n",
       " ('Неизвестно', 165, Decimal('1.64')),\n",
       " ('газ', 67, Decimal('0.66'))]"
      ]
     },
     "execution_count": 8,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "%%sql\n",
    "SELECT fuel_type, COUNT(*) AS total,\n",
    "       ROUND(100.0 * COUNT(*) / (SELECT COUNT(*) FROM cars_data),2) AS percent\n",
    "FROM cars_data\n",
    "GROUP BY fuel_type\n",
    "ORDER BY total DESC;\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 10,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 600x600 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",
    "\n",
    "\n",
    "df = pd.read_sql(\"SELECT fuel_type, COUNT(*) AS total FROM cars_data GROUP BY fuel_type\", connection_string)\n",
    "plt.figure(figsize=(6,6))\n",
    "plt.pie(df['total'], labels=df['fuel_type'], autopct='%1.1f%%', startangle=140, colors=sns.color_palette('pastel'))\n",
    "plt.title('Cars by Fuel Type')\n",
    "plt.show()\n"
   ]
  },
  {
   "attachments": {},
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "3️.Средний пробег по типу коробки передач и приводу"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 12,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      " * postgresql+psycopg2://postgres:***@localhost:5432/cars_data\n",
      "13 rows affected.\n"
     ]
    },
    {
     "data": {
      "text/html": [
       "<table>\n",
       "    <thead>\n",
       "        <tr>\n",
       "            <th>transmission_type</th>\n",
       "            <th>drive_type</th>\n",
       "            <th>avg_mileage</th>\n",
       "            <th>min_mileage</th>\n",
       "            <th>max_mileage</th>\n",
       "        </tr>\n",
       "    </thead>\n",
       "    <tbody>\n",
       "        <tr>\n",
       "            <td>Механика</td>\n",
       "            <td>Передний привод</td>\n",
       "            <td>163338</td>\n",
       "            <td>0</td>\n",
       "            <td>906332</td>\n",
       "        </tr>\n",
       "        <tr>\n",
       "            <td>Механика</td>\n",
       "            <td>Полный привод</td>\n",
       "            <td>129070</td>\n",
       "            <td>0</td>\n",
       "            <td>535000</td>\n",
       "        </tr>\n",
       "        <tr>\n",
       "            <td>Автомат</td>\n",
       "            <td>Передний привод</td>\n",
       "            <td>125863</td>\n",
       "            <td>0</td>\n",
       "            <td>845424</td>\n",
       "        </tr>\n",
       "        <tr>\n",
       "            <td>Автомат</td>\n",
       "            <td>Задний привод</td>\n",
       "            <td>125457</td>\n",
       "            <td>0</td>\n",
       "            <td>888888</td>\n",
       "        </tr>\n",
       "        <tr>\n",
       "            <td>Механика</td>\n",
       "            <td>Задний привод</td>\n",
       "            <td>123015</td>\n",
       "            <td>0</td>\n",
       "            <td>999999</td>\n",
       "        </tr>\n",
       "        <tr>\n",
       "            <td>Автомат</td>\n",
       "            <td>Полный привод</td>\n",
       "            <td>105786</td>\n",
       "            <td>0</td>\n",
       "            <td>999999</td>\n",
       "        </tr>\n",
       "        <tr>\n",
       "            <td>Вариатор</td>\n",
       "            <td>Полный привод</td>\n",
       "            <td>98378</td>\n",
       "            <td>0</td>\n",
       "            <td>320000</td>\n",
       "        </tr>\n",
       "        <tr>\n",
       "            <td>Вариатор</td>\n",
       "            <td>Передний привод</td>\n",
       "            <td>64923</td>\n",
       "            <td>0</td>\n",
       "            <td>777777</td>\n",
       "        </tr>\n",
       "        <tr>\n",
       "            <td>Робот</td>\n",
       "            <td>Полный привод</td>\n",
       "            <td>43705</td>\n",
       "            <td>0</td>\n",
       "            <td>290000</td>\n",
       "        </tr>\n",
       "        <tr>\n",
       "            <td>Робот</td>\n",
       "            <td>Передний привод</td>\n",
       "            <td>34641</td>\n",
       "            <td>0</td>\n",
       "            <td>307536</td>\n",
       "        </tr>\n",
       "        <tr>\n",
       "            <td>Вариатор</td>\n",
       "            <td>Задний привод</td>\n",
       "            <td>26000</td>\n",
       "            <td>0</td>\n",
       "            <td>104000</td>\n",
       "        </tr>\n",
       "        <tr>\n",
       "            <td>Робот</td>\n",
       "            <td>Задний привод</td>\n",
       "            <td>24692</td>\n",
       "            <td>0</td>\n",
       "            <td>70000</td>\n",
       "        </tr>\n",
       "        <tr>\n",
       "            <td>Неизвестно</td>\n",
       "            <td>Неизвестно</td>\n",
       "            <td>0</td>\n",
       "            <td>0</td>\n",
       "            <td>0</td>\n",
       "        </tr>\n",
       "    </tbody>\n",
       "</table>"
      ],
      "text/plain": [
       "[('Механика', 'Передний привод', Decimal('163338'), 0, 906332),\n",
       " ('Механика', 'Полный привод', Decimal('129070'), 0, 535000),\n",
       " ('Автомат', 'Передний привод', Decimal('125863'), 0, 845424),\n",
       " ('Автомат', 'Задний привод', Decimal('125457'), 0, 888888),\n",
       " ('Механика', 'Задний привод', Decimal('123015'), 0, 999999),\n",
       " ('Автомат', 'Полный привод', Decimal('105786'), 0, 999999),\n",
       " ('Вариатор', 'Полный привод', Decimal('98378'), 0, 320000),\n",
       " ('Вариатор', 'Передний привод', Decimal('64923'), 0, 777777),\n",
       " ('Робот', 'Полный привод', Decimal('43705'), 0, 290000),\n",
       " ('Робот', 'Передний привод', Decimal('34641'), 0, 307536),\n",
       " ('Вариатор', 'Задний привод', Decimal('26000'), 0, 104000),\n",
       " ('Робот', 'Задний привод', Decimal('24692'), 0, 70000),\n",
       " ('Неизвестно', 'Неизвестно', Decimal('0'), 0, 0)]"
      ]
     },
     "execution_count": 12,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "%%sql\n",
    "\n",
    "SELECT transmission_type, drive_type,\n",
    "       ROUND(AVG(mileage)) AS avg_mileage,\n",
    "       MIN(mileage) AS min_mileage,\n",
    "       MAX(mileage) AS max_mileage\n",
    "FROM cars_data\n",
    "GROUP BY transmission_type, drive_type\n",
    "ORDER BY avg_mileage DESC;\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 25,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 1000x600 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "df = pd.read_sql(\"\"\"\n",
    "SELECT transmission_type, drive_type, ROUND(AVG(mileage)) AS avg_mileage\n",
    "FROM cars_data\n",
    "WHERE drive_type != 'Неизвестно'\n",
    "GROUP BY transmission_type, drive_type\n",
    "\"\"\", connection_string)\n",
    "\n",
    "plt.figure(figsize=(10,6))\n",
    "sns.barplot(x='transmission_type', y='avg_mileage', hue='drive_type', data=df, palette='magma')\n",
    "plt.title('Average Mileage by Transmission and Drive Type')\n",
    "plt.ylabel('Average Mileage')\n",
    "plt.xlabel('Transmission Type')\n",
    "plt.show()\n"
   ]
  },
  {
   "attachments": {},
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "4️.Средняя цена по кузову и цвету"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 15,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      " * postgresql+psycopg2://postgres:***@localhost:5432/cars_data\n",
      "20 rows affected.\n"
     ]
    },
    {
     "data": {
      "text/html": [
       "<table>\n",
       "    <thead>\n",
       "        <tr>\n",
       "            <th>body_type</th>\n",
       "            <th>color</th>\n",
       "            <th>avg_price</th>\n",
       "            <th>num_listings</th>\n",
       "        </tr>\n",
       "    </thead>\n",
       "    <tbody>\n",
       "        <tr>\n",
       "            <td>Внедорожник</td>\n",
       "            <td>бронза</td>\n",
       "            <td>181666667</td>\n",
       "            <td>3</td>\n",
       "        </tr>\n",
       "        <tr>\n",
       "            <td>Кабриолет</td>\n",
       "            <td>Неизвестно</td>\n",
       "            <td>86700000</td>\n",
       "            <td>1</td>\n",
       "        </tr>\n",
       "        <tr>\n",
       "            <td>Пикап</td>\n",
       "            <td>серебристый металлик</td>\n",
       "            <td>75000000</td>\n",
       "            <td>4</td>\n",
       "        </tr>\n",
       "        <tr>\n",
       "            <td>Купе</td>\n",
       "            <td>серебристый</td>\n",
       "            <td>55000000</td>\n",
       "            <td>1</td>\n",
       "        </tr>\n",
       "        <tr>\n",
       "            <td>Микроавтобус</td>\n",
       "            <td>серебристый</td>\n",
       "            <td>50000000</td>\n",
       "            <td>3</td>\n",
       "        </tr>\n",
       "        <tr>\n",
       "            <td>Купе</td>\n",
       "            <td>черный металлик</td>\n",
       "            <td>48600000</td>\n",
       "            <td>3</td>\n",
       "        </tr>\n",
       "        <tr>\n",
       "            <td>Лифтбек</td>\n",
       "            <td>синий металлик</td>\n",
       "            <td>46080000</td>\n",
       "            <td>5</td>\n",
       "        </tr>\n",
       "        <tr>\n",
       "            <td>Внедорожник</td>\n",
       "            <td>оранжевый</td>\n",
       "            <td>39900000</td>\n",
       "            <td>1</td>\n",
       "        </tr>\n",
       "        <tr>\n",
       "            <td>Кроссовер</td>\n",
       "            <td>зеленый</td>\n",
       "            <td>35371028</td>\n",
       "            <td>17</td>\n",
       "        </tr>\n",
       "        <tr>\n",
       "            <td>Пикап</td>\n",
       "            <td>серый металлик</td>\n",
       "            <td>35162500</td>\n",
       "            <td>8</td>\n",
       "        </tr>\n",
       "        <tr>\n",
       "            <td>Внедорожник</td>\n",
       "            <td>голубой</td>\n",
       "            <td>33500000</td>\n",
       "            <td>2</td>\n",
       "        </tr>\n",
       "        <tr>\n",
       "            <td>Купе</td>\n",
       "            <td>Неизвестно</td>\n",
       "            <td>31754167</td>\n",
       "            <td>12</td>\n",
       "        </tr>\n",
       "        <tr>\n",
       "            <td>Пикап</td>\n",
       "            <td>черный</td>\n",
       "            <td>31313333</td>\n",
       "            <td>6</td>\n",
       "        </tr>\n",
       "        <tr>\n",
       "            <td>Внедорожник</td>\n",
       "            <td>черный металлик</td>\n",
       "            <td>30804100</td>\n",
       "            <td>160</td>\n",
       "        </tr>\n",
       "        <tr>\n",
       "            <td>Внедорожник</td>\n",
       "            <td>бежевый металлик</td>\n",
       "            <td>30516000</td>\n",
       "            <td>5</td>\n",
       "        </tr>\n",
       "        <tr>\n",
       "            <td>Кроссовер</td>\n",
       "            <td>голубой металлик</td>\n",
       "            <td>30220000</td>\n",
       "            <td>5</td>\n",
       "        </tr>\n",
       "        <tr>\n",
       "            <td>Внедорожник</td>\n",
       "            <td>черный</td>\n",
       "            <td>28896718</td>\n",
       "            <td>131</td>\n",
       "        </tr>\n",
       "        <tr>\n",
       "            <td>Микроавтобус</td>\n",
       "            <td>белый металлик</td>\n",
       "            <td>27350000</td>\n",
       "            <td>2</td>\n",
       "        </tr>\n",
       "        <tr>\n",
       "            <td>Фургон</td>\n",
       "            <td>хамелеон</td>\n",
       "            <td>25200000</td>\n",
       "            <td>1</td>\n",
       "        </tr>\n",
       "        <tr>\n",
       "            <td>Лифтбек</td>\n",
       "            <td>белый металлик</td>\n",
       "            <td>24933636</td>\n",
       "            <td>11</td>\n",
       "        </tr>\n",
       "    </tbody>\n",
       "</table>"
      ],
      "text/plain": [
       "[('Внедорожник', 'бронза', Decimal('181666667'), 3),\n",
       " ('Кабриолет', 'Неизвестно', Decimal('86700000'), 1),\n",
       " ('Пикап', 'серебристый металлик', Decimal('75000000'), 4),\n",
       " ('Купе', 'серебристый', Decimal('55000000'), 1),\n",
       " ('Микроавтобус', 'серебристый', Decimal('50000000'), 3),\n",
       " ('Купе', 'черный металлик', Decimal('48600000'), 3),\n",
       " ('Лифтбек', 'синий металлик', Decimal('46080000'), 5),\n",
       " ('Внедорожник', 'оранжевый', Decimal('39900000'), 1),\n",
       " ('Кроссовер', 'зеленый', Decimal('35371028'), 17),\n",
       " ('Пикап', 'серый металлик', Decimal('35162500'), 8),\n",
       " ('Внедорожник', 'голубой', Decimal('33500000'), 2),\n",
       " ('Купе', 'Неизвестно', Decimal('31754167'), 12),\n",
       " ('Пикап', 'черный', Decimal('31313333'), 6),\n",
       " ('Внедорожник', 'черный металлик', Decimal('30804100'), 160),\n",
       " ('Внедорожник', 'бежевый металлик', Decimal('30516000'), 5),\n",
       " ('Кроссовер', 'голубой металлик', Decimal('30220000'), 5),\n",
       " ('Внедорожник', 'черный', Decimal('28896718'), 131),\n",
       " ('Микроавтобус', 'белый металлик', Decimal('27350000'), 2),\n",
       " ('Фургон', 'хамелеон', Decimal('25200000'), 1),\n",
       " ('Лифтбек', 'белый металлик', Decimal('24933636'), 11)]"
      ]
     },
     "execution_count": 15,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "%%sql\n",
    "SELECT body_type, color,\n",
    "       ROUND(AVG(price)) AS avg_price,\n",
    "       COUNT(*) AS num_listings\n",
    "FROM cars_data\n",
    "GROUP BY body_type, color\n",
    "ORDER BY avg_price DESC\n",
    "LIMIT 20;\n"
   ]
  },
  {
   "attachments": {},
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "5️.Средняя цена по объему двигателя и типу топлива"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 18,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      " * postgresql+psycopg2://postgres:***@localhost:5432/cars_data\n",
      "20 rows affected.\n"
     ]
    },
    {
     "data": {
      "text/html": [
       "<table>\n",
       "    <thead>\n",
       "        <tr>\n",
       "            <th>engine_volume_literage</th>\n",
       "            <th>fuel_type</th>\n",
       "            <th>avg_price</th>\n",
       "            <th>num_listings</th>\n",
       "        </tr>\n",
       "    </thead>\n",
       "    <tbody>\n",
       "        <tr>\n",
       "            <td>4.4</td>\n",
       "            <td>гибрид</td>\n",
       "            <td>121250000</td>\n",
       "            <td>4</td>\n",
       "        </tr>\n",
       "        <tr>\n",
       "            <td>2.9</td>\n",
       "            <td>гибрид</td>\n",
       "            <td>110000000</td>\n",
       "            <td>2</td>\n",
       "        </tr>\n",
       "        <tr>\n",
       "            <td>3.9</td>\n",
       "            <td>бензин</td>\n",
       "            <td>86700000</td>\n",
       "            <td>1</td>\n",
       "        </tr>\n",
       "        <tr>\n",
       "            <td>4</td>\n",
       "            <td>гибрид</td>\n",
       "            <td>79000000</td>\n",
       "            <td>1</td>\n",
       "        </tr>\n",
       "        <tr>\n",
       "            <td>3</td>\n",
       "            <td>гибрид</td>\n",
       "            <td>59500000</td>\n",
       "            <td>2</td>\n",
       "        </tr>\n",
       "        <tr>\n",
       "            <td>6.8</td>\n",
       "            <td>бензин</td>\n",
       "            <td>55000000</td>\n",
       "            <td>1</td>\n",
       "        </tr>\n",
       "        <tr>\n",
       "            <td>6.2</td>\n",
       "            <td>бензин</td>\n",
       "            <td>43013043</td>\n",
       "            <td>23</td>\n",
       "        </tr>\n",
       "        <tr>\n",
       "            <td>4</td>\n",
       "            <td>бензин</td>\n",
       "            <td>41761511</td>\n",
       "            <td>208</td>\n",
       "        </tr>\n",
       "        <tr>\n",
       "            <td>6</td>\n",
       "            <td>бензин</td>\n",
       "            <td>40444444</td>\n",
       "            <td>9</td>\n",
       "        </tr>\n",
       "        <tr>\n",
       "            <td>2.4</td>\n",
       "            <td>гибрид</td>\n",
       "            <td>35687500</td>\n",
       "            <td>8</td>\n",
       "        </tr>\n",
       "        <tr>\n",
       "            <td>2</td>\n",
       "            <td>гибрид</td>\n",
       "            <td>35551629</td>\n",
       "            <td>34</td>\n",
       "        </tr>\n",
       "        <tr>\n",
       "            <td>6.4</td>\n",
       "            <td>бензин</td>\n",
       "            <td>35000000</td>\n",
       "            <td>1</td>\n",
       "        </tr>\n",
       "        <tr>\n",
       "            <td>5.3</td>\n",
       "            <td>бензин</td>\n",
       "            <td>33250000</td>\n",
       "            <td>8</td>\n",
       "        </tr>\n",
       "        <tr>\n",
       "            <td>5.7</td>\n",
       "            <td>бензин</td>\n",
       "            <td>31737112</td>\n",
       "            <td>79</td>\n",
       "        </tr>\n",
       "        <tr>\n",
       "            <td>4.4</td>\n",
       "            <td>бензин</td>\n",
       "            <td>30079012</td>\n",
       "            <td>54</td>\n",
       "        </tr>\n",
       "        <tr>\n",
       "            <td>4.6</td>\n",
       "            <td>бензин</td>\n",
       "            <td>28978533</td>\n",
       "            <td>75</td>\n",
       "        </tr>\n",
       "        <tr>\n",
       "            <td>3.5</td>\n",
       "            <td>гибрид</td>\n",
       "            <td>27583333</td>\n",
       "            <td>6</td>\n",
       "        </tr>\n",
       "        <tr>\n",
       "            <td>3.4</td>\n",
       "            <td>бензин</td>\n",
       "            <td>26751833</td>\n",
       "            <td>20</td>\n",
       "        </tr>\n",
       "        <tr>\n",
       "            <td>2</td>\n",
       "            <td>дизель</td>\n",
       "            <td>24802581</td>\n",
       "            <td>31</td>\n",
       "        </tr>\n",
       "        <tr>\n",
       "            <td>2.5</td>\n",
       "            <td>гибрид</td>\n",
       "            <td>23616585</td>\n",
       "            <td>41</td>\n",
       "        </tr>\n",
       "    </tbody>\n",
       "</table>"
      ],
      "text/plain": [
       "[(Decimal('4.4'), 'гибрид', Decimal('121250000'), 4),\n",
       " (Decimal('2.9'), 'гибрид', Decimal('110000000'), 2),\n",
       " (Decimal('3.9'), 'бензин', Decimal('86700000'), 1),\n",
       " (Decimal('4'), 'гибрид', Decimal('79000000'), 1),\n",
       " (Decimal('3'), 'гибрид', Decimal('59500000'), 2),\n",
       " (Decimal('6.8'), 'бензин', Decimal('55000000'), 1),\n",
       " (Decimal('6.2'), 'бензин', Decimal('43013043'), 23),\n",
       " (Decimal('4'), 'бензин', Decimal('41761511'), 208),\n",
       " (Decimal('6'), 'бензин', Decimal('40444444'), 9),\n",
       " (Decimal('2.4'), 'гибрид', Decimal('35687500'), 8),\n",
       " (Decimal('2'), 'гибрид', Decimal('35551629'), 34),\n",
       " (Decimal('6.4'), 'бензин', Decimal('35000000'), 1),\n",
       " (Decimal('5.3'), 'бензин', Decimal('33250000'), 8),\n",
       " (Decimal('5.7'), 'бензин', Decimal('31737112'), 79),\n",
       " (Decimal('4.4'), 'бензин', Decimal('30079012'), 54),\n",
       " (Decimal('4.6'), 'бензин', Decimal('28978533'), 75),\n",
       " (Decimal('3.5'), 'гибрид', Decimal('27583333'), 6),\n",
       " (Decimal('3.4'), 'бензин', Decimal('26751833'), 20),\n",
       " (Decimal('2'), 'дизель', Decimal('24802581'), 31),\n",
       " (Decimal('2.5'), 'гибрид', Decimal('23616585'), 41)]"
      ]
     },
     "execution_count": 18,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "%%sql \n",
    "SELECT engine_volume_literage, fuel_type,\n",
    "       ROUND(AVG(price)) AS avg_price,\n",
    "       COUNT(*) AS num_listings\n",
    "FROM cars_data\n",
    "WHERE engine_volume_literage IS NOT NULL\n",
    "GROUP BY engine_volume_literage, fuel_type\n",
    "ORDER BY avg_price DESC\n",
    "LIMIT 20;\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 20,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 1200x600 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "df = pd.read_sql(\"\"\"\n",
    "SELECT engine_volume_literage, fuel_type, ROUND(AVG(price)) AS avg_price\n",
    "FROM cars_data\n",
    "WHERE engine_volume_literage IS NOT NULL\n",
    "GROUP BY engine_volume_literage, fuel_type\n",
    "\"\"\", connection_string)\n",
    "\n",
    "plt.figure(figsize=(12,6))\n",
    "sns.lineplot(x='engine_volume_literage', y='avg_price', hue='fuel_type', data=df, marker='o')\n",
    "plt.title('Average Price by Engine Volume and Fuel Type')\n",
    "plt.xlabel('Engine Volume (L)')\n",
    "plt.ylabel('Average Price')\n",
    "plt.show()\n"
   ]
  }
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