1085 lines
254 KiB
Plaintext
1085 lines
254 KiB
Plaintext
{
|
||
"cells": [
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||
{
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||
"cell_type": "markdown",
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||
"id": "8fd38668-3b01-4fe6-ac89-1f29e17b7e27",
|
||
"metadata": {},
|
||
"source": [
|
||
"Программа визуалиции графиков продаж бара Nelson Sauvin"
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]
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||
},
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||
{
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||
"cell_type": "code",
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||
"execution_count": 1,
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||
"id": "fa1e3762-fa47-4329-94a6-a0ba89929225",
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||
"metadata": {},
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||
"outputs": [
|
||
{
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||
"name": "stdout",
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||
"output_type": "stream",
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"text": [
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"Датасет скопирован в рабочую директорию: ./datasets\n"
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]
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}
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],
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"source": [
|
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"import kagglehub\n",
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"import shutil\n",
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"import os\n",
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"import tqdm as notebook_tqdm\n",
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"import seaborn as sns\n",
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"import matplotlib.pyplot as plt\n",
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"\n",
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"# Скачиваем датасет в кеш\n",
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"cache_path = kagglehub.dataset_download(\"podsyp/sales-in-craft-beer-bar\")\n",
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"\n",
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"# Укажите целевую рабочую директорию\n",
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"target_directory = \"./datasets\"\n",
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"\n",
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"# Создайте целевую директорию, если она не существует\n",
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"os.makedirs(target_directory, exist_ok=True)\n",
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"\n",
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"# Копируем файлы из кеша в рабочую директорию\n",
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"shutil.copytree(cache_path, target_directory, dirs_exist_ok=True)\n",
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"\n",
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"print(f\"Датасет скопирован в рабочую директорию: {target_directory}\")"
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]
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},
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{
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"cell_type": "markdown",
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||
"id": "dc672fb6-93b2-47e3-8a8f-c1dd7807a1a9",
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||
"metadata": {},
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||
"source": [
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||
"Чтение файлов датасетов, как датафреймов"
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]
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},
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{
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"cell_type": "code",
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||
"execution_count": 2,
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||
"id": "18c8b086-9293-43af-bb52-3452bbc69f9b",
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||
"metadata": {},
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||
"outputs": [],
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||
"source": [
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||
"import pandas as pd\n",
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"df_pr = pd.read_csv(\"./datasets/Product_range.csv\")\n",
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"df_tr = pd.read_csv(\"./datasets/Transactions.csv\")"
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]
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||
},
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||
{
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||
"cell_type": "markdown",
|
||
"id": "971a9798-d92b-4193-9456-622e4a7cc71a",
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||
"metadata": {},
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||
"source": [
|
||
"Базовая информация по датафреймам"
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||
]
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||
},
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||
{
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"cell_type": "code",
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||
"execution_count": 3,
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||
"id": "aa213ec0-625f-4811-9c6e-072ca2a61e52",
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"metadata": {},
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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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"<class 'pandas.core.frame.DataFrame'>\n",
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||
"RangeIndex: 5314 entries, 0 to 5313\n",
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||
"Data columns (total 8 columns):\n",
|
||
" # Column Non-Null Count Dtype \n",
|
||
"--- ------ -------------- ----- \n",
|
||
" 0 Product_code 5314 non-null int64 \n",
|
||
" 1 Vendor_code 4288 non-null object \n",
|
||
" 2 Name 5314 non-null object \n",
|
||
" 3 Retail_price 4878 non-null float64\n",
|
||
" 4 Base_unit 4910 non-null object \n",
|
||
" 5 Country_of_Origin 4205 non-null object \n",
|
||
" 6 Size 4626 non-null float64\n",
|
||
" 7 ABV 4622 non-null float64\n",
|
||
"dtypes: float64(3), int64(1), object(4)\n",
|
||
"memory usage: 332.3+ KB\n",
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||
"None\n",
|
||
" Product_code Retail_price Size ABV\n",
|
||
"count 5314.000000 4878.000000 4626.000000 4622.000000\n",
|
||
"mean 2690.844750 637.839502 0.626917 7.074273\n",
|
||
"std 1543.217814 504.895006 0.953290 2.457970\n",
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||
"min 2.000000 1.000000 0.150000 0.500000\n",
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||
"25% 1357.250000 350.000000 0.330000 5.300000\n",
|
||
"50% 2690.500000 520.000000 0.500000 6.500000\n",
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||
"75% 4027.750000 730.000000 1.000000 8.200000\n",
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||
"max 5358.000000 8484.850000 30.000000 21.000000\n"
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||
]
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},
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{
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"data": {
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"text/html": [
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" <th></th>\n",
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" <th>Product_code</th>\n",
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" <th>Vendor_code</th>\n",
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" <th>Name</th>\n",
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||
" <th>Retail_price</th>\n",
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" <th>Country_of_Origin</th>\n",
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" <th>Size</th>\n",
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" <th>ABV</th>\n",
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" </tr>\n",
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" </thead>\n",
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" <tbody>\n",
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" <tr>\n",
|
||
" <th>0</th>\n",
|
||
" <td>5028</td>\n",
|
||
" <td>NaN</td>\n",
|
||
" <td>1 Symbiotica Apple 0.375</td>\n",
|
||
" <td>300.0</td>\n",
|
||
" <td>Pieces</td>\n",
|
||
" <td>Russia</td>\n",
|
||
" <td>0.375</td>\n",
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" <td>4.5</td>\n",
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" </tr>\n",
|
||
" <tr>\n",
|
||
" <th>1</th>\n",
|
||
" <td>4846</td>\n",
|
||
" <td>NaN</td>\n",
|
||
" <td>1 Symbiotica Hard Kombucha Renegade Aronia 0.33</td>\n",
|
||
" <td>200.0</td>\n",
|
||
" <td>Pieces</td>\n",
|
||
" <td>Russia</td>\n",
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||
" <td>0.330</td>\n",
|
||
" <td>3.0</td>\n",
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" </tr>\n",
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" <tr>\n",
|
||
" <th>2</th>\n",
|
||
" <td>1340</td>\n",
|
||
" <td>NaN</td>\n",
|
||
" <td>1000 IBU Imperial IPA Barrel l</td>\n",
|
||
" <td>960.0</td>\n",
|
||
" <td>Liters</td>\n",
|
||
" <td>NaN</td>\n",
|
||
" <td>1.000</td>\n",
|
||
" <td>9.6</td>\n",
|
||
" </tr>\n",
|
||
" <tr>\n",
|
||
" <th>3</th>\n",
|
||
" <td>4372</td>\n",
|
||
" <td>NaN</td>\n",
|
||
" <td>18th Street Brewery</td>\n",
|
||
" <td>NaN</td>\n",
|
||
" <td>NaN</td>\n",
|
||
" <td>USA</td>\n",
|
||
" <td>NaN</td>\n",
|
||
" <td>NaN</td>\n",
|
||
" </tr>\n",
|
||
" <tr>\n",
|
||
" <th>4</th>\n",
|
||
" <td>4302</td>\n",
|
||
" <td>NaN</td>\n",
|
||
" <td>18th Street Brewery Deal With The Devil 0.473</td>\n",
|
||
" <td>630.0</td>\n",
|
||
" <td>Pieces</td>\n",
|
||
" <td>USA</td>\n",
|
||
" <td>0.473</td>\n",
|
||
" <td>8.5</td>\n",
|
||
" </tr>\n",
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||
" <tr>\n",
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||
" <th>...</th>\n",
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||
" <td>...</td>\n",
|
||
" <td>...</td>\n",
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||
" <td>...</td>\n",
|
||
" <td>...</td>\n",
|
||
" <td>...</td>\n",
|
||
" <td>...</td>\n",
|
||
" <td>...</td>\n",
|
||
" <td>...</td>\n",
|
||
" </tr>\n",
|
||
" <tr>\n",
|
||
" <th>5309</th>\n",
|
||
" <td>868</td>\n",
|
||
" <td>NaN</td>\n",
|
||
" <td>Spagetti Vestern</td>\n",
|
||
" <td>880.0</td>\n",
|
||
" <td>Liters</td>\n",
|
||
" <td>NaN</td>\n",
|
||
" <td>1.000</td>\n",
|
||
" <td>8.7</td>\n",
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||
" </tr>\n",
|
||
" <tr>\n",
|
||
" <th>5310</th>\n",
|
||
" <td>1861</td>\n",
|
||
" <td>NaN</td>\n",
|
||
" <td>Stoun Imperial Rashn Stout Barrel l</td>\n",
|
||
" <td>1200.0</td>\n",
|
||
" <td>Liters</td>\n",
|
||
" <td>NaN</td>\n",
|
||
" <td>1.000</td>\n",
|
||
" <td>10.8</td>\n",
|
||
" </tr>\n",
|
||
" <tr>\n",
|
||
" <th>5311</th>\n",
|
||
" <td>4724</td>\n",
|
||
" <td>NaN</td>\n",
|
||
" <td>Semjuel Adams Boston Lager Barrel</td>\n",
|
||
" <td>720.0</td>\n",
|
||
" <td>Liters</td>\n",
|
||
" <td>NaN</td>\n",
|
||
" <td>1.000</td>\n",
|
||
" <td>4.8</td>\n",
|
||
" </tr>\n",
|
||
" <tr>\n",
|
||
" <th>5312</th>\n",
|
||
" <td>822</td>\n",
|
||
" <td>Bakunin</td>\n",
|
||
" <td>Bakunin Urban Juice</td>\n",
|
||
" <td>600.0</td>\n",
|
||
" <td>Liters</td>\n",
|
||
" <td>Russia</td>\n",
|
||
" <td>1.000</td>\n",
|
||
" <td>7.2</td>\n",
|
||
" </tr>\n",
|
||
" <tr>\n",
|
||
" <th>5313</th>\n",
|
||
" <td>1682</td>\n",
|
||
" <td>NaN</td>\n",
|
||
" <td>Hazeljuteli Shoktabulous Barrel l temnoe fil't...</td>\n",
|
||
" <td>880.0</td>\n",
|
||
" <td>Liters</td>\n",
|
||
" <td>NaN</td>\n",
|
||
" <td>1.000</td>\n",
|
||
" <td>5.7</td>\n",
|
||
" </tr>\n",
|
||
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|
||
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|
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"text/plain": [
|
||
" Product_code Vendor_code \\\n",
|
||
"0 5028 NaN \n",
|
||
"1 4846 NaN \n",
|
||
"2 1340 NaN \n",
|
||
"3 4372 NaN \n",
|
||
"4 4302 NaN \n",
|
||
"... ... ... \n",
|
||
"5309 868 NaN \n",
|
||
"5310 1861 NaN \n",
|
||
"5311 4724 NaN \n",
|
||
"5312 822 Bakunin \n",
|
||
"5313 1682 NaN \n",
|
||
"\n",
|
||
" Name Retail_price \\\n",
|
||
"0 1 Symbiotica Apple 0.375 300.0 \n",
|
||
"1 1 Symbiotica Hard Kombucha Renegade Aronia 0.33 200.0 \n",
|
||
"2 1000 IBU Imperial IPA Barrel l 960.0 \n",
|
||
"3 18th Street Brewery NaN \n",
|
||
"4 18th Street Brewery Deal With The Devil 0.473 630.0 \n",
|
||
"... ... ... \n",
|
||
"5309 Spagetti Vestern 880.0 \n",
|
||
"5310 Stoun Imperial Rashn Stout Barrel l 1200.0 \n",
|
||
"5311 Semjuel Adams Boston Lager Barrel 720.0 \n",
|
||
"5312 Bakunin Urban Juice 600.0 \n",
|
||
"5313 Hazeljuteli Shoktabulous Barrel l temnoe fil't... 880.0 \n",
|
||
"\n",
|
||
" Base_unit Country_of_Origin Size ABV \n",
|
||
"0 Pieces Russia 0.375 4.5 \n",
|
||
"1 Pieces Russia 0.330 3.0 \n",
|
||
"2 Liters NaN 1.000 9.6 \n",
|
||
"3 NaN USA NaN NaN \n",
|
||
"4 Pieces USA 0.473 8.5 \n",
|
||
"... ... ... ... ... \n",
|
||
"5309 Liters NaN 1.000 8.7 \n",
|
||
"5310 Liters NaN 1.000 10.8 \n",
|
||
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||
"5312 Liters Russia 1.000 7.2 \n",
|
||
"5313 Liters NaN 1.000 5.7 \n",
|
||
"\n",
|
||
"[5314 rows x 8 columns]"
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"metadata": {},
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"output_type": "execute_result"
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}
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],
|
||
"source": [
|
||
"print(df_pr.info())\n",
|
||
"print(df_pr.describe())\n",
|
||
"df_pr"
|
||
]
|
||
},
|
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{
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"cell_type": "code",
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"id": "13968604-1997-4b8b-a250-906fc834a2ab",
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"outputs": [
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"text": [
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"<class 'pandas.core.frame.DataFrame'>\n",
|
||
"RangeIndex: 50084 entries, 0 to 50083\n",
|
||
"Data columns (total 8 columns):\n",
|
||
" # Column Non-Null Count Dtype \n",
|
||
"--- ------ -------------- ----- \n",
|
||
" 0 Date_and_time_of_unloading 50084 non-null object \n",
|
||
" 1 Product_code 50084 non-null int64 \n",
|
||
" 2 Amount 50084 non-null float64\n",
|
||
" 3 Sale_amount 50033 non-null float64\n",
|
||
" 4 Discount_amount 39882 non-null float64\n",
|
||
" 5 Profit 50070 non-null float64\n",
|
||
" 6 Percentage_markup 48145 non-null float64\n",
|
||
" 7 Discount_percentage 39882 non-null float64\n",
|
||
"dtypes: float64(6), int64(1), object(1)\n",
|
||
"memory usage: 3.1+ MB\n",
|
||
"None\n",
|
||
" Product_code Amount Sale_amount Discount_amount \\\n",
|
||
"count 50084.000000 50084.000000 50033.000000 39882.000000 \n",
|
||
"mean 2153.160031 3.553146 1429.786677 243.761323 \n",
|
||
"std 1367.357705 5.485805 2419.585455 405.902060 \n",
|
||
"min 99.000000 0.033000 0.410000 0.010000 \n",
|
||
"25% 899.000000 1.000000 330.000000 60.000000 \n",
|
||
"50% 2098.000000 2.000000 630.000000 121.760000 \n",
|
||
"75% 3059.000000 4.000000 1436.130000 270.615000 \n",
|
||
"max 5322.000000 248.000000 58184.070000 20440.630000 \n",
|
||
"\n",
|
||
" Profit Percentage_markup Discount_percentage \n",
|
||
"count 50070.000000 48145.000000 39882.000000 \n",
|
||
"mean 705.901987 109.184511 17.251313 \n",
|
||
"std 1352.628611 1182.538753 16.608075 \n",
|
||
"min -9300.630000 -100.000000 0.000000 \n",
|
||
"25% 143.070000 59.850000 7.930000 \n",
|
||
"50% 283.000000 84.210000 12.000000 \n",
|
||
"75% 687.015000 107.790000 20.210000 \n",
|
||
"max 33352.460000 79900.000000 100.000000 \n"
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|
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|
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|
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|
||
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|
||
" <td>2.69</td>\n",
|
||
" </tr>\n",
|
||
" <tr>\n",
|
||
" <th>3</th>\n",
|
||
" <td>2020-01-01 23:00:00</td>\n",
|
||
" <td>217</td>\n",
|
||
" <td>1.0</td>\n",
|
||
" <td>630.00</td>\n",
|
||
" <td>70.00</td>\n",
|
||
" <td>220.50</td>\n",
|
||
" <td>53.85</td>\n",
|
||
" <td>10.00</td>\n",
|
||
" </tr>\n",
|
||
" <tr>\n",
|
||
" <th>4</th>\n",
|
||
" <td>2020-01-01 23:00:00</td>\n",
|
||
" <td>222</td>\n",
|
||
" <td>2.0</td>\n",
|
||
" <td>1104.75</td>\n",
|
||
" <td>195.25</td>\n",
|
||
" <td>393.75</td>\n",
|
||
" <td>55.38</td>\n",
|
||
" <td>15.02</td>\n",
|
||
" </tr>\n",
|
||
" <tr>\n",
|
||
" <th>...</th>\n",
|
||
" <td>...</td>\n",
|
||
" <td>...</td>\n",
|
||
" <td>...</td>\n",
|
||
" <td>...</td>\n",
|
||
" <td>...</td>\n",
|
||
" <td>...</td>\n",
|
||
" <td>...</td>\n",
|
||
" <td>...</td>\n",
|
||
" </tr>\n",
|
||
" <tr>\n",
|
||
" <th>50079</th>\n",
|
||
" <td>2022-09-18 15:00:00</td>\n",
|
||
" <td>5316</td>\n",
|
||
" <td>6.0</td>\n",
|
||
" <td>1875.95</td>\n",
|
||
" <td>104.05</td>\n",
|
||
" <td>1095.95</td>\n",
|
||
" <td>140.51</td>\n",
|
||
" <td>5.26</td>\n",
|
||
" </tr>\n",
|
||
" <tr>\n",
|
||
" <th>50080</th>\n",
|
||
" <td>2022-09-18 15:00:00</td>\n",
|
||
" <td>5317</td>\n",
|
||
" <td>2.0</td>\n",
|
||
" <td>555.95</td>\n",
|
||
" <td>104.05</td>\n",
|
||
" <td>315.95</td>\n",
|
||
" <td>131.65</td>\n",
|
||
" <td>15.77</td>\n",
|
||
" </tr>\n",
|
||
" <tr>\n",
|
||
" <th>50081</th>\n",
|
||
" <td>2022-09-18 15:00:00</td>\n",
|
||
" <td>5318</td>\n",
|
||
" <td>2.0</td>\n",
|
||
" <td>572.50</td>\n",
|
||
" <td>87.50</td>\n",
|
||
" <td>312.50</td>\n",
|
||
" <td>120.19</td>\n",
|
||
" <td>13.26</td>\n",
|
||
" </tr>\n",
|
||
" <tr>\n",
|
||
" <th>50082</th>\n",
|
||
" <td>2022-09-18 15:00:00</td>\n",
|
||
" <td>5321</td>\n",
|
||
" <td>1.0</td>\n",
|
||
" <td>300.00</td>\n",
|
||
" <td>NaN</td>\n",
|
||
" <td>180.00</td>\n",
|
||
" <td>150.00</td>\n",
|
||
" <td>NaN</td>\n",
|
||
" </tr>\n",
|
||
" <tr>\n",
|
||
" <th>50083</th>\n",
|
||
" <td>2022-09-18 15:00:00</td>\n",
|
||
" <td>5322</td>\n",
|
||
" <td>2.0</td>\n",
|
||
" <td>600.00</td>\n",
|
||
" <td>NaN</td>\n",
|
||
" <td>340.00</td>\n",
|
||
" <td>130.77</td>\n",
|
||
" <td>NaN</td>\n",
|
||
" </tr>\n",
|
||
" </tbody>\n",
|
||
"</table>\n",
|
||
"<p>50084 rows × 8 columns</p>\n",
|
||
"</div>"
|
||
],
|
||
"text/plain": [
|
||
" Date_and_time_of_unloading Product_code Amount Sale_amount \\\n",
|
||
"0 2020-01-01 23:00:00 144 1.0 280.00 \n",
|
||
"1 2020-01-01 23:00:00 209 2.0 545.73 \n",
|
||
"2 2020-01-01 23:00:00 213 2.0 1265.05 \n",
|
||
"3 2020-01-01 23:00:00 217 1.0 630.00 \n",
|
||
"4 2020-01-01 23:00:00 222 2.0 1104.75 \n",
|
||
"... ... ... ... ... \n",
|
||
"50079 2022-09-18 15:00:00 5316 6.0 1875.95 \n",
|
||
"50080 2022-09-18 15:00:00 5317 2.0 555.95 \n",
|
||
"50081 2022-09-18 15:00:00 5318 2.0 572.50 \n",
|
||
"50082 2022-09-18 15:00:00 5321 1.0 300.00 \n",
|
||
"50083 2022-09-18 15:00:00 5322 2.0 600.00 \n",
|
||
"\n",
|
||
" Discount_amount Profit Percentage_markup Discount_percentage \n",
|
||
"0 NaN 155.00 124.00 NaN \n",
|
||
"1 294.27 75.73 16.11 35.03 \n",
|
||
"2 34.95 653.05 106.71 2.69 \n",
|
||
"3 70.00 220.50 53.85 10.00 \n",
|
||
"4 195.25 393.75 55.38 15.02 \n",
|
||
"... ... ... ... ... \n",
|
||
"50079 104.05 1095.95 140.51 5.26 \n",
|
||
"50080 104.05 315.95 131.65 15.77 \n",
|
||
"50081 87.50 312.50 120.19 13.26 \n",
|
||
"50082 NaN 180.00 150.00 NaN \n",
|
||
"50083 NaN 340.00 130.77 NaN \n",
|
||
"\n",
|
||
"[50084 rows x 8 columns]"
|
||
]
|
||
},
|
||
"execution_count": 4,
|
||
"metadata": {},
|
||
"output_type": "execute_result"
|
||
}
|
||
],
|
||
"source": [
|
||
"print(df_tr.info())\n",
|
||
"print(df_tr.describe())\n",
|
||
"df_tr"
|
||
]
|
||
},
|
||
{
|
||
"cell_type": "markdown",
|
||
"id": "5a4cff9d-856d-4f3d-bc59-aa2c14ccba82",
|
||
"metadata": {},
|
||
"source": [
|
||
"Объединение двух датафреймов по общей колонке 'Product_code'"
|
||
]
|
||
},
|
||
{
|
||
"cell_type": "code",
|
||
"execution_count": 5,
|
||
"id": "19305de2-2969-44f5-84be-3ec7348896ea",
|
||
"metadata": {},
|
||
"outputs": [
|
||
{
|
||
"data": {
|
||
"text/html": [
|
||
"<div>\n",
|
||
"<style scoped>\n",
|
||
" .dataframe tbody tr th:only-of-type {\n",
|
||
" vertical-align: middle;\n",
|
||
" }\n",
|
||
"\n",
|
||
" .dataframe tbody tr th {\n",
|
||
" vertical-align: top;\n",
|
||
" }\n",
|
||
"\n",
|
||
" .dataframe thead th {\n",
|
||
" text-align: right;\n",
|
||
" }\n",
|
||
"</style>\n",
|
||
"<table border=\"1\" class=\"dataframe\">\n",
|
||
" <thead>\n",
|
||
" <tr style=\"text-align: right;\">\n",
|
||
" <th></th>\n",
|
||
" <th>Product_code</th>\n",
|
||
" <th>Vendor_code</th>\n",
|
||
" <th>Name</th>\n",
|
||
" <th>Retail_price</th>\n",
|
||
" <th>Base_unit</th>\n",
|
||
" <th>Country_of_Origin</th>\n",
|
||
" <th>Size</th>\n",
|
||
" <th>ABV</th>\n",
|
||
" <th>Date_and_time_of_unloading</th>\n",
|
||
" <th>Amount</th>\n",
|
||
" <th>Sale_amount</th>\n",
|
||
" <th>Discount_amount</th>\n",
|
||
" <th>Profit</th>\n",
|
||
" <th>Percentage_markup</th>\n",
|
||
" <th>Discount_percentage</th>\n",
|
||
" </tr>\n",
|
||
" </thead>\n",
|
||
" <tbody>\n",
|
||
" <tr>\n",
|
||
" <th>0</th>\n",
|
||
" <td>5028</td>\n",
|
||
" <td>NaN</td>\n",
|
||
" <td>1 Symbiotica Apple 0.375</td>\n",
|
||
" <td>300.0</td>\n",
|
||
" <td>Pieces</td>\n",
|
||
" <td>Russia</td>\n",
|
||
" <td>0.375</td>\n",
|
||
" <td>4.5</td>\n",
|
||
" <td>2022-07-03 00:00:00</td>\n",
|
||
" <td>2.00</td>\n",
|
||
" <td>420.00</td>\n",
|
||
" <td>180.00</td>\n",
|
||
" <td>140.00</td>\n",
|
||
" <td>50.00</td>\n",
|
||
" <td>30.00</td>\n",
|
||
" </tr>\n",
|
||
" <tr>\n",
|
||
" <th>1</th>\n",
|
||
" <td>5028</td>\n",
|
||
" <td>NaN</td>\n",
|
||
" <td>1 Symbiotica Apple 0.375</td>\n",
|
||
" <td>300.0</td>\n",
|
||
" <td>Pieces</td>\n",
|
||
" <td>Russia</td>\n",
|
||
" <td>0.375</td>\n",
|
||
" <td>4.5</td>\n",
|
||
" <td>2022-07-09 13:00:00</td>\n",
|
||
" <td>4.00</td>\n",
|
||
" <td>960.00</td>\n",
|
||
" <td>240.00</td>\n",
|
||
" <td>400.00</td>\n",
|
||
" <td>71.43</td>\n",
|
||
" <td>20.00</td>\n",
|
||
" </tr>\n",
|
||
" <tr>\n",
|
||
" <th>2</th>\n",
|
||
" <td>5028</td>\n",
|
||
" <td>NaN</td>\n",
|
||
" <td>1 Symbiotica Apple 0.375</td>\n",
|
||
" <td>300.0</td>\n",
|
||
" <td>Pieces</td>\n",
|
||
" <td>Russia</td>\n",
|
||
" <td>0.375</td>\n",
|
||
" <td>4.5</td>\n",
|
||
" <td>2022-07-19 20:00:00</td>\n",
|
||
" <td>5.00</td>\n",
|
||
" <td>1440.00</td>\n",
|
||
" <td>60.00</td>\n",
|
||
" <td>740.00</td>\n",
|
||
" <td>105.71</td>\n",
|
||
" <td>4.00</td>\n",
|
||
" </tr>\n",
|
||
" <tr>\n",
|
||
" <th>3</th>\n",
|
||
" <td>4846</td>\n",
|
||
" <td>NaN</td>\n",
|
||
" <td>1 Symbiotica Hard Kombucha Renegade Aronia 0.33</td>\n",
|
||
" <td>200.0</td>\n",
|
||
" <td>Pieces</td>\n",
|
||
" <td>Russia</td>\n",
|
||
" <td>0.330</td>\n",
|
||
" <td>3.0</td>\n",
|
||
" <td>2022-03-20 17:00:00</td>\n",
|
||
" <td>4.00</td>\n",
|
||
" <td>412.23</td>\n",
|
||
" <td>277.77</td>\n",
|
||
" <td>52.23</td>\n",
|
||
" <td>14.51</td>\n",
|
||
" <td>40.26</td>\n",
|
||
" </tr>\n",
|
||
" <tr>\n",
|
||
" <th>4</th>\n",
|
||
" <td>4846</td>\n",
|
||
" <td>NaN</td>\n",
|
||
" <td>1 Symbiotica Hard Kombucha Renegade Aronia 0.33</td>\n",
|
||
" <td>200.0</td>\n",
|
||
" <td>Pieces</td>\n",
|
||
" <td>Russia</td>\n",
|
||
" <td>0.330</td>\n",
|
||
" <td>3.0</td>\n",
|
||
" <td>2022-03-23 17:00:00</td>\n",
|
||
" <td>2.00</td>\n",
|
||
" <td>360.00</td>\n",
|
||
" <td>40.00</td>\n",
|
||
" <td>180.00</td>\n",
|
||
" <td>100.00</td>\n",
|
||
" <td>10.00</td>\n",
|
||
" </tr>\n",
|
||
" <tr>\n",
|
||
" <th>...</th>\n",
|
||
" <td>...</td>\n",
|
||
" <td>...</td>\n",
|
||
" <td>...</td>\n",
|
||
" <td>...</td>\n",
|
||
" <td>...</td>\n",
|
||
" <td>...</td>\n",
|
||
" <td>...</td>\n",
|
||
" <td>...</td>\n",
|
||
" <td>...</td>\n",
|
||
" <td>...</td>\n",
|
||
" <td>...</td>\n",
|
||
" <td>...</td>\n",
|
||
" <td>...</td>\n",
|
||
" <td>...</td>\n",
|
||
" <td>...</td>\n",
|
||
" </tr>\n",
|
||
" <tr>\n",
|
||
" <th>51437</th>\n",
|
||
" <td>4724</td>\n",
|
||
" <td>NaN</td>\n",
|
||
" <td>Semjuel Adams Boston Lager Barrel</td>\n",
|
||
" <td>720.0</td>\n",
|
||
" <td>Liters</td>\n",
|
||
" <td>NaN</td>\n",
|
||
" <td>1.000</td>\n",
|
||
" <td>4.8</td>\n",
|
||
" <td>2022-02-26 20:00:00</td>\n",
|
||
" <td>10.25</td>\n",
|
||
" <td>7040.55</td>\n",
|
||
" <td>339.45</td>\n",
|
||
" <td>3637.55</td>\n",
|
||
" <td>106.89</td>\n",
|
||
" <td>4.60</td>\n",
|
||
" </tr>\n",
|
||
" <tr>\n",
|
||
" <th>51438</th>\n",
|
||
" <td>4724</td>\n",
|
||
" <td>NaN</td>\n",
|
||
" <td>Semjuel Adams Boston Lager Barrel</td>\n",
|
||
" <td>720.0</td>\n",
|
||
" <td>Liters</td>\n",
|
||
" <td>NaN</td>\n",
|
||
" <td>1.000</td>\n",
|
||
" <td>4.8</td>\n",
|
||
" <td>2022-03-02 17:00:00</td>\n",
|
||
" <td>13.25</td>\n",
|
||
" <td>8854.37</td>\n",
|
||
" <td>685.63</td>\n",
|
||
" <td>4455.37</td>\n",
|
||
" <td>101.28</td>\n",
|
||
" <td>7.19</td>\n",
|
||
" </tr>\n",
|
||
" <tr>\n",
|
||
" <th>51439</th>\n",
|
||
" <td>4724</td>\n",
|
||
" <td>NaN</td>\n",
|
||
" <td>Semjuel Adams Boston Lager Barrel</td>\n",
|
||
" <td>720.0</td>\n",
|
||
" <td>Liters</td>\n",
|
||
" <td>NaN</td>\n",
|
||
" <td>1.000</td>\n",
|
||
" <td>4.8</td>\n",
|
||
" <td>2022-03-07 18:00:00</td>\n",
|
||
" <td>1.00</td>\n",
|
||
" <td>664.91</td>\n",
|
||
" <td>55.09</td>\n",
|
||
" <td>332.91</td>\n",
|
||
" <td>100.27</td>\n",
|
||
" <td>7.65</td>\n",
|
||
" </tr>\n",
|
||
" <tr>\n",
|
||
" <th>51440</th>\n",
|
||
" <td>822</td>\n",
|
||
" <td>Bakunin</td>\n",
|
||
" <td>Bakunin Urban Juice</td>\n",
|
||
" <td>600.0</td>\n",
|
||
" <td>Liters</td>\n",
|
||
" <td>Russia</td>\n",
|
||
" <td>1.000</td>\n",
|
||
" <td>7.2</td>\n",
|
||
" <td>NaN</td>\n",
|
||
" <td>NaN</td>\n",
|
||
" <td>NaN</td>\n",
|
||
" <td>NaN</td>\n",
|
||
" <td>NaN</td>\n",
|
||
" <td>NaN</td>\n",
|
||
" <td>NaN</td>\n",
|
||
" </tr>\n",
|
||
" <tr>\n",
|
||
" <th>51441</th>\n",
|
||
" <td>1682</td>\n",
|
||
" <td>NaN</td>\n",
|
||
" <td>Hazeljuteli Shoktabulous Barrel l temnoe fil't...</td>\n",
|
||
" <td>880.0</td>\n",
|
||
" <td>Liters</td>\n",
|
||
" <td>NaN</td>\n",
|
||
" <td>1.000</td>\n",
|
||
" <td>5.7</td>\n",
|
||
" <td>NaN</td>\n",
|
||
" <td>NaN</td>\n",
|
||
" <td>NaN</td>\n",
|
||
" <td>NaN</td>\n",
|
||
" <td>NaN</td>\n",
|
||
" <td>NaN</td>\n",
|
||
" <td>NaN</td>\n",
|
||
" </tr>\n",
|
||
" </tbody>\n",
|
||
"</table>\n",
|
||
"<p>51442 rows × 15 columns</p>\n",
|
||
"</div>"
|
||
],
|
||
"text/plain": [
|
||
" Product_code Vendor_code \\\n",
|
||
"0 5028 NaN \n",
|
||
"1 5028 NaN \n",
|
||
"2 5028 NaN \n",
|
||
"3 4846 NaN \n",
|
||
"4 4846 NaN \n",
|
||
"... ... ... \n",
|
||
"51437 4724 NaN \n",
|
||
"51438 4724 NaN \n",
|
||
"51439 4724 NaN \n",
|
||
"51440 822 Bakunin \n",
|
||
"51441 1682 NaN \n",
|
||
"\n",
|
||
" Name Retail_price \\\n",
|
||
"0 1 Symbiotica Apple 0.375 300.0 \n",
|
||
"1 1 Symbiotica Apple 0.375 300.0 \n",
|
||
"2 1 Symbiotica Apple 0.375 300.0 \n",
|
||
"3 1 Symbiotica Hard Kombucha Renegade Aronia 0.33 200.0 \n",
|
||
"4 1 Symbiotica Hard Kombucha Renegade Aronia 0.33 200.0 \n",
|
||
"... ... ... \n",
|
||
"51437 Semjuel Adams Boston Lager Barrel 720.0 \n",
|
||
"51438 Semjuel Adams Boston Lager Barrel 720.0 \n",
|
||
"51439 Semjuel Adams Boston Lager Barrel 720.0 \n",
|
||
"51440 Bakunin Urban Juice 600.0 \n",
|
||
"51441 Hazeljuteli Shoktabulous Barrel l temnoe fil't... 880.0 \n",
|
||
"\n",
|
||
" Base_unit Country_of_Origin Size ABV Date_and_time_of_unloading \\\n",
|
||
"0 Pieces Russia 0.375 4.5 2022-07-03 00:00:00 \n",
|
||
"1 Pieces Russia 0.375 4.5 2022-07-09 13:00:00 \n",
|
||
"2 Pieces Russia 0.375 4.5 2022-07-19 20:00:00 \n",
|
||
"3 Pieces Russia 0.330 3.0 2022-03-20 17:00:00 \n",
|
||
"4 Pieces Russia 0.330 3.0 2022-03-23 17:00:00 \n",
|
||
"... ... ... ... ... ... \n",
|
||
"51437 Liters NaN 1.000 4.8 2022-02-26 20:00:00 \n",
|
||
"51438 Liters NaN 1.000 4.8 2022-03-02 17:00:00 \n",
|
||
"51439 Liters NaN 1.000 4.8 2022-03-07 18:00:00 \n",
|
||
"51440 Liters Russia 1.000 7.2 NaN \n",
|
||
"51441 Liters NaN 1.000 5.7 NaN \n",
|
||
"\n",
|
||
" Amount Sale_amount Discount_amount Profit Percentage_markup \\\n",
|
||
"0 2.00 420.00 180.00 140.00 50.00 \n",
|
||
"1 4.00 960.00 240.00 400.00 71.43 \n",
|
||
"2 5.00 1440.00 60.00 740.00 105.71 \n",
|
||
"3 4.00 412.23 277.77 52.23 14.51 \n",
|
||
"4 2.00 360.00 40.00 180.00 100.00 \n",
|
||
"... ... ... ... ... ... \n",
|
||
"51437 10.25 7040.55 339.45 3637.55 106.89 \n",
|
||
"51438 13.25 8854.37 685.63 4455.37 101.28 \n",
|
||
"51439 1.00 664.91 55.09 332.91 100.27 \n",
|
||
"51440 NaN NaN NaN NaN NaN \n",
|
||
"51441 NaN NaN NaN NaN NaN \n",
|
||
"\n",
|
||
" Discount_percentage \n",
|
||
"0 30.00 \n",
|
||
"1 20.00 \n",
|
||
"2 4.00 \n",
|
||
"3 40.26 \n",
|
||
"4 10.00 \n",
|
||
"... ... \n",
|
||
"51437 4.60 \n",
|
||
"51438 7.19 \n",
|
||
"51439 7.65 \n",
|
||
"51440 NaN \n",
|
||
"51441 NaN \n",
|
||
"\n",
|
||
"[51442 rows x 15 columns]"
|
||
]
|
||
},
|
||
"execution_count": 5,
|
||
"metadata": {},
|
||
"output_type": "execute_result"
|
||
}
|
||
],
|
||
"source": [
|
||
"merged_df = pd.merge(df_pr, df_tr, on='Product_code', how='left')\n",
|
||
"merged_df"
|
||
]
|
||
},
|
||
{
|
||
"cell_type": "markdown",
|
||
"id": "a3f51300-3f88-43fc-9a93-5682a6049617",
|
||
"metadata": {},
|
||
"source": [
|
||
"Вывод информации по количеству уникальных элементов в каждой колонке"
|
||
]
|
||
},
|
||
{
|
||
"cell_type": "code",
|
||
"execution_count": 48,
|
||
"id": "19d39e90-5074-4a79-a5ad-2fdedf4c7b7b",
|
||
"metadata": {},
|
||
"outputs": [
|
||
{
|
||
"data": {
|
||
"text/plain": [
|
||
"Product_code 5314\n",
|
||
"Vendor_code 271\n",
|
||
"Name 5193\n",
|
||
"Retail_price 184\n",
|
||
"Base_unit 4\n",
|
||
"Country_of_Origin 28\n",
|
||
"Size 31\n",
|
||
"ABV 151\n",
|
||
"Date_and_time_of_unloading 458\n",
|
||
"Amount 617\n",
|
||
"Sale_amount 22572\n",
|
||
"Discount_amount 17843\n",
|
||
"Profit 27941\n",
|
||
"Percentage_markup 13925\n",
|
||
"Discount_percentage 3629\n",
|
||
"dtype: int64"
|
||
]
|
||
},
|
||
"execution_count": 48,
|
||
"metadata": {},
|
||
"output_type": "execute_result"
|
||
}
|
||
],
|
||
"source": [
|
||
"merged_df.nunique()"
|
||
]
|
||
},
|
||
{
|
||
"cell_type": "markdown",
|
||
"id": "9f48cf5b-c756-4f09-b3a4-5cb62d48fb02",
|
||
"metadata": {},
|
||
"source": [
|
||
"Создание фильтрованной гистограммы по цене продажи российских напитков"
|
||
]
|
||
},
|
||
{
|
||
"cell_type": "code",
|
||
"execution_count": 30,
|
||
"id": "7a3cc981-c826-4ca5-bf70-88365af7503d",
|
||
"metadata": {},
|
||
"outputs": [
|
||
{
|
||
"data": {
|
||
"image/png": 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",
|
||
"text/plain": [
|
||
"<Figure size 1000x600 with 1 Axes>"
|
||
]
|
||
},
|
||
"metadata": {},
|
||
"output_type": "display_data"
|
||
}
|
||
],
|
||
"source": [
|
||
"# Фильтрация по Vendor_code и Retail_price\n",
|
||
"filtered_df = df_pr[(df_pr['Country_of_Origin'] == 'Russia') & (df_pr['Retail_price'] < 2000)]\n",
|
||
"\n",
|
||
"# Построение гистограммы\n",
|
||
"plt.figure(figsize=(10, 6))\n",
|
||
"sns.histplot(data=filtered_df, x='Retail_price', kde=True, bins=30 )\n",
|
||
"\n",
|
||
"# Настройка заголовков и меток\n",
|
||
"plt.title('Distribution of Retail Prices', fontsize=14)\n",
|
||
"plt.xlabel('Retail Price', fontsize=12)\n",
|
||
"plt.ylabel('Frequency', fontsize=12)\n",
|
||
"plt.show()"
|
||
]
|
||
},
|
||
{
|
||
"cell_type": "markdown",
|
||
"id": "300d579f-8fe3-46fa-8575-a3b74ed29845",
|
||
"metadata": {},
|
||
"source": [
|
||
"Построение boxplot соотношения прибыли и производителя, отфильтрованного по цене напитка и экспортированного из США"
|
||
]
|
||
},
|
||
{
|
||
"cell_type": "code",
|
||
"execution_count": 40,
|
||
"id": "8a5fc4cf-866b-406d-a4de-4f378e16733d",
|
||
"metadata": {},
|
||
"outputs": [
|
||
{
|
||
"data": {
|
||
"image/png": 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",
|
||
"text/plain": [
|
||
"<Figure size 1200x600 with 1 Axes>"
|
||
]
|
||
},
|
||
"metadata": {},
|
||
"output_type": "display_data"
|
||
}
|
||
],
|
||
"source": [
|
||
"# Фильтрация данных: только Profit > 0\n",
|
||
"filtered_df = merged_df[(merged_df['Profit'] > 0) & (merged_df['Size'] > 0.3) & (merged_df['Country_of_Origin'] == 'USA')].head(3000)\n",
|
||
"\n",
|
||
"# Boxplot для отфильтрованных данных\n",
|
||
"plt.figure(figsize=(12, 6))\n",
|
||
"sns.boxplot(data=filtered_df, x='Vendor_code', y='Profit')\n",
|
||
"plt.xticks(rotation=75)\n",
|
||
"plt.title('Profit Distribution by Vendor Code (Filtered, USA)')\n",
|
||
"plt.xlabel('Vendor Code')\n",
|
||
"plt.ylabel('Profit')\n",
|
||
"plt.show()"
|
||
]
|
||
},
|
||
{
|
||
"cell_type": "markdown",
|
||
"id": "65164529-9eff-4aa8-bd28-59aa5a7519b4",
|
||
"metadata": {},
|
||
"source": [
|
||
"График соотношения прибыли к количеству проданного"
|
||
]
|
||
},
|
||
{
|
||
"cell_type": "code",
|
||
"execution_count": 43,
|
||
"id": "572b29d7-cc70-4176-8bb5-5d58e18cbec2",
|
||
"metadata": {},
|
||
"outputs": [
|
||
{
|
||
"data": {
|
||
"image/png": 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",
|
||
"text/plain": [
|
||
"<Figure size 640x480 with 1 Axes>"
|
||
]
|
||
},
|
||
"metadata": {},
|
||
"output_type": "display_data"
|
||
}
|
||
],
|
||
"source": [
|
||
"sns.scatterplot(data=merged_df, x='Sale_amount', y='Profit')\n",
|
||
"plt.title('Relationship Between Sale Amount and Profit')\n",
|
||
"plt.xlabel('Sale Amount')\n",
|
||
"plt.ylabel('Profit')\n",
|
||
"plt.show()"
|
||
]
|
||
}
|
||
],
|
||
"metadata": {
|
||
"kernelspec": {
|
||
"display_name": "Python 3 (ipykernel)",
|
||
"language": "python",
|
||
"name": "python3"
|
||
},
|
||
"language_info": {
|
||
"codemirror_mode": {
|
||
"name": "ipython",
|
||
"version": 3
|
||
},
|
||
"file_extension": ".py",
|
||
"mimetype": "text/x-python",
|
||
"name": "python",
|
||
"nbconvert_exporter": "python",
|
||
"pygments_lexer": "ipython3",
|
||
"version": "3.12.3"
|
||
}
|
||
},
|
||
"nbformat": 4,
|
||
"nbformat_minor": 5
|
||
}
|