1822 lines
866 KiB
Plaintext
1822 lines
866 KiB
Plaintext
{
|
||
"cells": [
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||
{
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||
"cell_type": "markdown",
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||
"id": "9329c5bc",
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||
"metadata": {},
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||
"source": [
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||
"# 01. Загрузка, структура и первичная чистка\n",
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||
"\n",
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||
"Цели: понять схему данных, проверить пропуски/аномалии, стандартизировать категориальные признаки и подготовить базовые фичи (totals, CTR/CR, флаги)."
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||
]
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||
},
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||
{
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||
"cell_type": "markdown",
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||
"id": "cbd05b8a-4af7-4063-82a6-bef7252de4fb",
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||
"metadata": {},
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||
"source": [
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||
"# Инициализация"
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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": "d95e51be",
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||
"metadata": {
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||
"ExecuteTime": {
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||
"end_time": "2025-12-05T18:56:34.945440Z",
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||
"start_time": "2025-12-05T18:56:34.939453Z"
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||
}
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||
},
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"outputs": [],
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"source": [
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"\n",
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||
"import pandas as pd\n",
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"import numpy as np\n",
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"import seaborn as sns\n",
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"import math\n",
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||
"import matplotlib.pyplot as plt\n",
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||
"from pathlib import Path\n",
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||
"from eda_utils import (\n",
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||
" load_data, DATA_PATH, CATEGORIES, ACTIVE_IMP_COLS, PASSIVE_IMP_COLS,\n",
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||
" ACTIVE_CLICK_COLS, PASSIVE_CLICK_COLS, ORDER_COLS, NUMERIC_COLS, CAT_COLS,\n",
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||
" describe_zero_share, safe_divide, build_daily, build_client, add_contact_density\n",
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||
")\n",
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||
"pd.set_option(\"display.max_columns\", None)\n",
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||
"pd.options.display.float_format = '{:,.3f}'.format\n",
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||
"sns.set_theme(style=\"ticks\", palette=\"deep\")\n"
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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": "314922b8",
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||
"metadata": {
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||
"ExecuteTime": {
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||
"end_time": "2025-12-05T18:56:35.382790Z",
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||
"start_time": "2025-12-05T18:56:34.963314Z"
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||
}
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||
},
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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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||
"Raw shape: (118189, 35)\n"
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||
]
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||
}
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||
],
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"source": [
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||
"df = pd.read_csv(\"../dataset/ds.csv\")\n",
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||
"print(f'Raw shape: {df.shape}')"
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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": 4,
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||
"id": "c7980291",
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||
"metadata": {
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||
"ExecuteTime": {
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||
"end_time": "2025-12-05T18:56:35.431410Z",
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||
"start_time": "2025-12-05T18:56:35.400332Z"
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||
}
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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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"Raw info:\n",
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||
" <class 'pandas.core.frame.DataFrame'>\n",
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||
"RangeIndex: 118189 entries, 0 to 118188\n",
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||
"Data columns (total 35 columns):\n",
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||
" # Column Non-Null Count Dtype \n",
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||
"--- ------ -------------- ----- \n",
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||
" 0 id 118189 non-null int64 \n",
|
||
" 1 business_dt 118189 non-null object \n",
|
||
" 2 active_imp_ent 118189 non-null float64\n",
|
||
" 3 active_click_ent 118189 non-null float64\n",
|
||
" 4 active_imp_super 118189 non-null float64\n",
|
||
" 5 active_click_super 118189 non-null float64\n",
|
||
" 6 active_imp_transport 118189 non-null float64\n",
|
||
" 7 active_click_transport 118189 non-null float64\n",
|
||
" 8 active_imp_shopping 118189 non-null float64\n",
|
||
" 9 active_click_shopping 118189 non-null float64\n",
|
||
" 10 active_imp_hotel 118189 non-null int64 \n",
|
||
" 11 active_click_hotel 118189 non-null int64 \n",
|
||
" 12 active_imp_avia 118189 non-null int64 \n",
|
||
" 13 active_click_avia 118189 non-null int64 \n",
|
||
" 14 passive_imp_ent 118189 non-null float64\n",
|
||
" 15 passive_click_ent 118189 non-null float64\n",
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||
" 16 passive_imp_super 118189 non-null float64\n",
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||
" 17 passive_click_super 118189 non-null float64\n",
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||
" 18 passive_imp_transport 118189 non-null float64\n",
|
||
" 19 passive_click_transport 118189 non-null float64\n",
|
||
" 20 passive_imp_shopping 118189 non-null float64\n",
|
||
" 21 passive_click_shopping 118189 non-null float64\n",
|
||
" 22 passive_imp_hotel 118189 non-null int64 \n",
|
||
" 23 passive_click_hotel 118189 non-null int64 \n",
|
||
" 24 passive_imp_avia 118189 non-null int64 \n",
|
||
" 25 passive_click_avia 118189 non-null int64 \n",
|
||
" 26 orders_amt_ent 118189 non-null int64 \n",
|
||
" 27 orders_amt_super 118189 non-null int64 \n",
|
||
" 28 orders_amt_transport 118189 non-null int64 \n",
|
||
" 29 orders_amt_shopping 118189 non-null int64 \n",
|
||
" 30 orders_amt_hotel 118189 non-null int64 \n",
|
||
" 31 orders_amt_avia 118189 non-null int64 \n",
|
||
" 32 gender_cd 118189 non-null object \n",
|
||
" 33 age 118189 non-null int64 \n",
|
||
" 34 device_platform_cd 118189 non-null object \n",
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||
"dtypes: float64(16), int64(16), object(3)\n",
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||
"memory usage: 31.6+ MB\n",
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||
"\n"
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||
]
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||
}
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||
],
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||
"source": [
|
||
"import io\n",
|
||
"buf = io.StringIO()\n",
|
||
"df.info(buf=buf)\n",
|
||
"print('Raw info:\\n', buf.getvalue())"
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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": 5,
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||
"id": "0d18c485",
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||
"metadata": {
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||
"ExecuteTime": {
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||
"end_time": "2025-12-05T18:56:35.449657Z",
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||
"start_time": "2025-12-05T18:56:35.440402Z"
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||
}
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||
},
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||
"outputs": [
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||
{
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||
"data": {
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||
"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>id</th>\n",
|
||
" <th>business_dt</th>\n",
|
||
" <th>active_imp_ent</th>\n",
|
||
" <th>active_click_ent</th>\n",
|
||
" <th>active_imp_super</th>\n",
|
||
" <th>active_click_super</th>\n",
|
||
" <th>active_imp_transport</th>\n",
|
||
" <th>active_click_transport</th>\n",
|
||
" <th>active_imp_shopping</th>\n",
|
||
" <th>active_click_shopping</th>\n",
|
||
" <th>active_imp_hotel</th>\n",
|
||
" <th>active_click_hotel</th>\n",
|
||
" <th>active_imp_avia</th>\n",
|
||
" <th>active_click_avia</th>\n",
|
||
" <th>passive_imp_ent</th>\n",
|
||
" <th>passive_click_ent</th>\n",
|
||
" <th>passive_imp_super</th>\n",
|
||
" <th>passive_click_super</th>\n",
|
||
" <th>passive_imp_transport</th>\n",
|
||
" <th>passive_click_transport</th>\n",
|
||
" <th>passive_imp_shopping</th>\n",
|
||
" <th>passive_click_shopping</th>\n",
|
||
" <th>passive_imp_hotel</th>\n",
|
||
" <th>passive_click_hotel</th>\n",
|
||
" <th>passive_imp_avia</th>\n",
|
||
" <th>passive_click_avia</th>\n",
|
||
" <th>orders_amt_ent</th>\n",
|
||
" <th>orders_amt_super</th>\n",
|
||
" <th>orders_amt_transport</th>\n",
|
||
" <th>orders_amt_shopping</th>\n",
|
||
" <th>orders_amt_hotel</th>\n",
|
||
" <th>orders_amt_avia</th>\n",
|
||
" <th>gender_cd</th>\n",
|
||
" <th>age</th>\n",
|
||
" <th>device_platform_cd</th>\n",
|
||
" </tr>\n",
|
||
" </thead>\n",
|
||
" <tbody>\n",
|
||
" <tr>\n",
|
||
" <th>0</th>\n",
|
||
" <td>7119</td>\n",
|
||
" <td>2025-04-02</td>\n",
|
||
" <td>0.000</td>\n",
|
||
" <td>0.000</td>\n",
|
||
" <td>3.000</td>\n",
|
||
" <td>1.000</td>\n",
|
||
" <td>1.000</td>\n",
|
||
" <td>0.000</td>\n",
|
||
" <td>1.000</td>\n",
|
||
" <td>0.000</td>\n",
|
||
" <td>0</td>\n",
|
||
" <td>0</td>\n",
|
||
" <td>0</td>\n",
|
||
" <td>0</td>\n",
|
||
" <td>0.000</td>\n",
|
||
" <td>0.000</td>\n",
|
||
" <td>0.000</td>\n",
|
||
" <td>0.000</td>\n",
|
||
" <td>0.000</td>\n",
|
||
" <td>0.000</td>\n",
|
||
" <td>0.000</td>\n",
|
||
" <td>0.000</td>\n",
|
||
" <td>2</td>\n",
|
||
" <td>0</td>\n",
|
||
" <td>0</td>\n",
|
||
" <td>0</td>\n",
|
||
" <td>0</td>\n",
|
||
" <td>0</td>\n",
|
||
" <td>0</td>\n",
|
||
" <td>0</td>\n",
|
||
" <td>0</td>\n",
|
||
" <td>0</td>\n",
|
||
" <td>F</td>\n",
|
||
" <td>40</td>\n",
|
||
" <td>iOS</td>\n",
|
||
" </tr>\n",
|
||
" <tr>\n",
|
||
" <th>1</th>\n",
|
||
" <td>1797</td>\n",
|
||
" <td>2025-08-27</td>\n",
|
||
" <td>1.000</td>\n",
|
||
" <td>1.000</td>\n",
|
||
" <td>0.000</td>\n",
|
||
" <td>0.000</td>\n",
|
||
" <td>0.000</td>\n",
|
||
" <td>0.000</td>\n",
|
||
" <td>0.000</td>\n",
|
||
" <td>0.000</td>\n",
|
||
" <td>0</td>\n",
|
||
" <td>0</td>\n",
|
||
" <td>3</td>\n",
|
||
" <td>0</td>\n",
|
||
" <td>2.000</td>\n",
|
||
" <td>0.000</td>\n",
|
||
" <td>1.000</td>\n",
|
||
" <td>0.000</td>\n",
|
||
" <td>2.000</td>\n",
|
||
" <td>0.000</td>\n",
|
||
" <td>1.000</td>\n",
|
||
" <td>0.000</td>\n",
|
||
" <td>0</td>\n",
|
||
" <td>0</td>\n",
|
||
" <td>5</td>\n",
|
||
" <td>0</td>\n",
|
||
" <td>0</td>\n",
|
||
" <td>0</td>\n",
|
||
" <td>0</td>\n",
|
||
" <td>0</td>\n",
|
||
" <td>0</td>\n",
|
||
" <td>0</td>\n",
|
||
" <td>M</td>\n",
|
||
" <td>38</td>\n",
|
||
" <td>IOS</td>\n",
|
||
" </tr>\n",
|
||
" <tr>\n",
|
||
" <th>2</th>\n",
|
||
" <td>8010</td>\n",
|
||
" <td>2025-07-10</td>\n",
|
||
" <td>0.000</td>\n",
|
||
" <td>0.000</td>\n",
|
||
" <td>1.000</td>\n",
|
||
" <td>1.000</td>\n",
|
||
" <td>0.000</td>\n",
|
||
" <td>0.000</td>\n",
|
||
" <td>0.000</td>\n",
|
||
" <td>0.000</td>\n",
|
||
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|
||
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|
||
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|
||
" <td>0</td>\n",
|
||
" <td>1.000</td>\n",
|
||
" <td>0.000</td>\n",
|
||
" <td>1.000</td>\n",
|
||
" <td>0.000</td>\n",
|
||
" <td>1.000</td>\n",
|
||
" <td>0.000</td>\n",
|
||
" <td>1.000</td>\n",
|
||
" <td>0.000</td>\n",
|
||
" <td>0</td>\n",
|
||
" <td>0</td>\n",
|
||
" <td>1</td>\n",
|
||
" <td>0</td>\n",
|
||
" <td>0</td>\n",
|
||
" <td>0</td>\n",
|
||
" <td>0</td>\n",
|
||
" <td>0</td>\n",
|
||
" <td>0</td>\n",
|
||
" <td>0</td>\n",
|
||
" <td>M</td>\n",
|
||
" <td>51</td>\n",
|
||
" <td>Android</td>\n",
|
||
" </tr>\n",
|
||
" <tr>\n",
|
||
" <th>3</th>\n",
|
||
" <td>2360</td>\n",
|
||
" <td>2025-08-10</td>\n",
|
||
" <td>0.000</td>\n",
|
||
" <td>0.000</td>\n",
|
||
" <td>0.000</td>\n",
|
||
" <td>0.000</td>\n",
|
||
" <td>0.000</td>\n",
|
||
" <td>1.000</td>\n",
|
||
" <td>0.000</td>\n",
|
||
" <td>0.000</td>\n",
|
||
" <td>0</td>\n",
|
||
" <td>0</td>\n",
|
||
" <td>0</td>\n",
|
||
" <td>0</td>\n",
|
||
" <td>0.000</td>\n",
|
||
" <td>0.000</td>\n",
|
||
" <td>0.000</td>\n",
|
||
" <td>0.000</td>\n",
|
||
" <td>1.000</td>\n",
|
||
" <td>0.000</td>\n",
|
||
" <td>0.000</td>\n",
|
||
" <td>0.000</td>\n",
|
||
" <td>1</td>\n",
|
||
" <td>0</td>\n",
|
||
" <td>1</td>\n",
|
||
" <td>0</td>\n",
|
||
" <td>0</td>\n",
|
||
" <td>0</td>\n",
|
||
" <td>0</td>\n",
|
||
" <td>0</td>\n",
|
||
" <td>0</td>\n",
|
||
" <td>0</td>\n",
|
||
" <td>M</td>\n",
|
||
" <td>37</td>\n",
|
||
" <td>IOS</td>\n",
|
||
" </tr>\n",
|
||
" <tr>\n",
|
||
" <th>4</th>\n",
|
||
" <td>3457</td>\n",
|
||
" <td>2025-05-23</td>\n",
|
||
" <td>0.000</td>\n",
|
||
" <td>0.000</td>\n",
|
||
" <td>1.000</td>\n",
|
||
" <td>0.000</td>\n",
|
||
" <td>0.000</td>\n",
|
||
" <td>0.000</td>\n",
|
||
" <td>3.000</td>\n",
|
||
" <td>1.000</td>\n",
|
||
" <td>0</td>\n",
|
||
" <td>0</td>\n",
|
||
" <td>0</td>\n",
|
||
" <td>0</td>\n",
|
||
" <td>0.000</td>\n",
|
||
" <td>0.000</td>\n",
|
||
" <td>0.000</td>\n",
|
||
" <td>0.000</td>\n",
|
||
" <td>0.000</td>\n",
|
||
" <td>0.000</td>\n",
|
||
" <td>0.000</td>\n",
|
||
" <td>0.000</td>\n",
|
||
" <td>2</td>\n",
|
||
" <td>0</td>\n",
|
||
" <td>0</td>\n",
|
||
" <td>0</td>\n",
|
||
" <td>0</td>\n",
|
||
" <td>0</td>\n",
|
||
" <td>0</td>\n",
|
||
" <td>0</td>\n",
|
||
" <td>0</td>\n",
|
||
" <td>0</td>\n",
|
||
" <td>F</td>\n",
|
||
" <td>27</td>\n",
|
||
" <td>iOS</td>\n",
|
||
" </tr>\n",
|
||
" </tbody>\n",
|
||
"</table>\n",
|
||
"</div>"
|
||
],
|
||
"text/plain": [
|
||
" id business_dt active_imp_ent active_click_ent active_imp_super \\\n",
|
||
"0 7119 2025-04-02 0.000 0.000 3.000 \n",
|
||
"1 1797 2025-08-27 1.000 1.000 0.000 \n",
|
||
"2 8010 2025-07-10 0.000 0.000 1.000 \n",
|
||
"3 2360 2025-08-10 0.000 0.000 0.000 \n",
|
||
"4 3457 2025-05-23 0.000 0.000 1.000 \n",
|
||
"\n",
|
||
" active_click_super active_imp_transport active_click_transport \\\n",
|
||
"0 1.000 1.000 0.000 \n",
|
||
"1 0.000 0.000 0.000 \n",
|
||
"2 1.000 0.000 0.000 \n",
|
||
"3 0.000 0.000 1.000 \n",
|
||
"4 0.000 0.000 0.000 \n",
|
||
"\n",
|
||
" active_imp_shopping active_click_shopping active_imp_hotel \\\n",
|
||
"0 1.000 0.000 0 \n",
|
||
"1 0.000 0.000 0 \n",
|
||
"2 0.000 0.000 0 \n",
|
||
"3 0.000 0.000 0 \n",
|
||
"4 3.000 1.000 0 \n",
|
||
"\n",
|
||
" active_click_hotel active_imp_avia active_click_avia passive_imp_ent \\\n",
|
||
"0 0 0 0 0.000 \n",
|
||
"1 0 3 0 2.000 \n",
|
||
"2 0 0 0 1.000 \n",
|
||
"3 0 0 0 0.000 \n",
|
||
"4 0 0 0 0.000 \n",
|
||
"\n",
|
||
" passive_click_ent passive_imp_super passive_click_super \\\n",
|
||
"0 0.000 0.000 0.000 \n",
|
||
"1 0.000 1.000 0.000 \n",
|
||
"2 0.000 1.000 0.000 \n",
|
||
"3 0.000 0.000 0.000 \n",
|
||
"4 0.000 0.000 0.000 \n",
|
||
"\n",
|
||
" passive_imp_transport passive_click_transport passive_imp_shopping \\\n",
|
||
"0 0.000 0.000 0.000 \n",
|
||
"1 2.000 0.000 1.000 \n",
|
||
"2 1.000 0.000 1.000 \n",
|
||
"3 1.000 0.000 0.000 \n",
|
||
"4 0.000 0.000 0.000 \n",
|
||
"\n",
|
||
" passive_click_shopping passive_imp_hotel passive_click_hotel \\\n",
|
||
"0 0.000 2 0 \n",
|
||
"1 0.000 0 0 \n",
|
||
"2 0.000 0 0 \n",
|
||
"3 0.000 1 0 \n",
|
||
"4 0.000 2 0 \n",
|
||
"\n",
|
||
" passive_imp_avia passive_click_avia orders_amt_ent orders_amt_super \\\n",
|
||
"0 0 0 0 0 \n",
|
||
"1 5 0 0 0 \n",
|
||
"2 1 0 0 0 \n",
|
||
"3 1 0 0 0 \n",
|
||
"4 0 0 0 0 \n",
|
||
"\n",
|
||
" orders_amt_transport orders_amt_shopping orders_amt_hotel \\\n",
|
||
"0 0 0 0 \n",
|
||
"1 0 0 0 \n",
|
||
"2 0 0 0 \n",
|
||
"3 0 0 0 \n",
|
||
"4 0 0 0 \n",
|
||
"\n",
|
||
" orders_amt_avia gender_cd age device_platform_cd \n",
|
||
"0 0 F 40 iOS \n",
|
||
"1 0 M 38 IOS \n",
|
||
"2 0 M 51 Android \n",
|
||
"3 0 M 37 IOS \n",
|
||
"4 0 F 27 iOS "
|
||
]
|
||
},
|
||
"execution_count": 5,
|
||
"metadata": {},
|
||
"output_type": "execute_result"
|
||
}
|
||
],
|
||
"source": [
|
||
"df.head(5)"
|
||
]
|
||
},
|
||
{
|
||
"cell_type": "markdown",
|
||
"id": "b35ad277-a07b-44a2-8c7b-da5e47ef5435",
|
||
"metadata": {},
|
||
"source": [
|
||
"# Анализ"
|
||
]
|
||
},
|
||
{
|
||
"cell_type": "code",
|
||
"execution_count": 6,
|
||
"id": "78a7f3d2",
|
||
"metadata": {
|
||
"ExecuteTime": {
|
||
"end_time": "2025-12-05T18:56:35.560093Z",
|
||
"start_time": "2025-12-05T18:56:35.556685Z"
|
||
}
|
||
},
|
||
"outputs": [
|
||
{
|
||
"name": "stdout",
|
||
"output_type": "stream",
|
||
"text": [
|
||
"{'rows': 118189, 'cols': 35, 'unique_clients': 8339, 'min_dt': '2025-01-09', 'max_dt': '2025-11-04'}\n"
|
||
]
|
||
}
|
||
],
|
||
"source": [
|
||
"n_rows, n_cols = df.shape\n",
|
||
"n_unique_clients = df['id'].nunique()\n",
|
||
"min_dt, max_dt = df['business_dt'].min(), df['business_dt'].max()\n",
|
||
"print({'rows': n_rows, 'cols': n_cols, 'unique_clients': n_unique_clients, 'min_dt': min_dt, 'max_dt': max_dt})"
|
||
]
|
||
},
|
||
{
|
||
"cell_type": "markdown",
|
||
"id": "f691bec5-e203-4bcc-8645-333178708a66",
|
||
"metadata": {},
|
||
"source": [
|
||
"Всего в датасете 118189 записей и 35 полей данных\n",
|
||
"8339 уникальных клиентов\n",
|
||
"Данные распределены на промежутке с 2025-01-09 по 2925-11-04"
|
||
]
|
||
},
|
||
{
|
||
"cell_type": "code",
|
||
"execution_count": 7,
|
||
"id": "a40091f6",
|
||
"metadata": {
|
||
"ExecuteTime": {
|
||
"end_time": "2025-12-05T18:56:35.623796Z",
|
||
"start_time": "2025-12-05T18:56:35.602181Z"
|
||
}
|
||
},
|
||
"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>rows_per_key</th>\n",
|
||
" <th>n_pairs</th>\n",
|
||
" </tr>\n",
|
||
" </thead>\n",
|
||
" <tbody>\n",
|
||
" <tr>\n",
|
||
" <th>0</th>\n",
|
||
" <td>1</td>\n",
|
||
" <td>118189</td>\n",
|
||
" </tr>\n",
|
||
" </tbody>\n",
|
||
"</table>\n",
|
||
"</div>"
|
||
],
|
||
"text/plain": [
|
||
" rows_per_key n_pairs\n",
|
||
"0 1 118189"
|
||
]
|
||
},
|
||
"execution_count": 7,
|
||
"metadata": {},
|
||
"output_type": "execute_result"
|
||
}
|
||
],
|
||
"source": [
|
||
"dup_table = df.groupby(['id', 'business_dt']).size().value_counts().reset_index()\n",
|
||
"dup_table.columns = ['rows_per_key', 'n_pairs']\n",
|
||
"dup_table.head()"
|
||
]
|
||
},
|
||
{
|
||
"cell_type": "markdown",
|
||
"id": "c1c33a2f-6ad9-476a-9b62-ba5511189527",
|
||
"metadata": {},
|
||
"source": [
|
||
"Датасет не содержит дублирования по паре id + дата"
|
||
]
|
||
},
|
||
{
|
||
"cell_type": "code",
|
||
"execution_count": 8,
|
||
"id": "43cbdc8a",
|
||
"metadata": {
|
||
"ExecuteTime": {
|
||
"end_time": "2025-12-05T18:56:35.687689Z",
|
||
"start_time": "2025-12-05T18:56:35.680252Z"
|
||
}
|
||
},
|
||
"outputs": [
|
||
{
|
||
"data": {
|
||
"text/plain": [
|
||
"count 8,339.000\n",
|
||
"mean 14.173\n",
|
||
"std 4.762\n",
|
||
"min 4.000\n",
|
||
"25% 11.000\n",
|
||
"50% 13.000\n",
|
||
"75% 16.000\n",
|
||
"max 52.000\n",
|
||
"dtype: float64"
|
||
]
|
||
},
|
||
"execution_count": 8,
|
||
"metadata": {},
|
||
"output_type": "execute_result"
|
||
}
|
||
],
|
||
"source": [
|
||
"df.groupby('id').size().describe()"
|
||
]
|
||
},
|
||
{
|
||
"cell_type": "markdown",
|
||
"id": "4a0eba3c-fe71-456e-84f6-8e672c7110b5",
|
||
"metadata": {},
|
||
"source": [
|
||
"В среднем каждый клиент содержит по 14 записей, всего кол-во записей распределено на промежутке от 4 до 52."
|
||
]
|
||
},
|
||
{
|
||
"cell_type": "code",
|
||
"execution_count": 9,
|
||
"id": "84b726d3",
|
||
"metadata": {
|
||
"ExecuteTime": {
|
||
"end_time": "2025-12-05T18:56:35.797151Z",
|
||
"start_time": "2025-12-05T18:56:35.783710Z"
|
||
}
|
||
},
|
||
"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>missing</th>\n",
|
||
" </tr>\n",
|
||
" </thead>\n",
|
||
" <tbody>\n",
|
||
" <tr>\n",
|
||
" <th>id</th>\n",
|
||
" <td>0</td>\n",
|
||
" </tr>\n",
|
||
" <tr>\n",
|
||
" <th>business_dt</th>\n",
|
||
" <td>0</td>\n",
|
||
" </tr>\n",
|
||
" <tr>\n",
|
||
" <th>active_imp_ent</th>\n",
|
||
" <td>0</td>\n",
|
||
" </tr>\n",
|
||
" <tr>\n",
|
||
" <th>active_click_ent</th>\n",
|
||
" <td>0</td>\n",
|
||
" </tr>\n",
|
||
" <tr>\n",
|
||
" <th>active_imp_super</th>\n",
|
||
" <td>0</td>\n",
|
||
" </tr>\n",
|
||
" <tr>\n",
|
||
" <th>active_click_super</th>\n",
|
||
" <td>0</td>\n",
|
||
" </tr>\n",
|
||
" <tr>\n",
|
||
" <th>active_imp_transport</th>\n",
|
||
" <td>0</td>\n",
|
||
" </tr>\n",
|
||
" <tr>\n",
|
||
" <th>active_click_transport</th>\n",
|
||
" <td>0</td>\n",
|
||
" </tr>\n",
|
||
" <tr>\n",
|
||
" <th>active_imp_shopping</th>\n",
|
||
" <td>0</td>\n",
|
||
" </tr>\n",
|
||
" <tr>\n",
|
||
" <th>active_click_shopping</th>\n",
|
||
" <td>0</td>\n",
|
||
" </tr>\n",
|
||
" <tr>\n",
|
||
" <th>active_imp_hotel</th>\n",
|
||
" <td>0</td>\n",
|
||
" </tr>\n",
|
||
" <tr>\n",
|
||
" <th>active_click_hotel</th>\n",
|
||
" <td>0</td>\n",
|
||
" </tr>\n",
|
||
" <tr>\n",
|
||
" <th>active_imp_avia</th>\n",
|
||
" <td>0</td>\n",
|
||
" </tr>\n",
|
||
" <tr>\n",
|
||
" <th>active_click_avia</th>\n",
|
||
" <td>0</td>\n",
|
||
" </tr>\n",
|
||
" <tr>\n",
|
||
" <th>passive_imp_ent</th>\n",
|
||
" <td>0</td>\n",
|
||
" </tr>\n",
|
||
" <tr>\n",
|
||
" <th>passive_click_ent</th>\n",
|
||
" <td>0</td>\n",
|
||
" </tr>\n",
|
||
" <tr>\n",
|
||
" <th>passive_imp_super</th>\n",
|
||
" <td>0</td>\n",
|
||
" </tr>\n",
|
||
" <tr>\n",
|
||
" <th>passive_click_super</th>\n",
|
||
" <td>0</td>\n",
|
||
" </tr>\n",
|
||
" <tr>\n",
|
||
" <th>passive_imp_transport</th>\n",
|
||
" <td>0</td>\n",
|
||
" </tr>\n",
|
||
" <tr>\n",
|
||
" <th>passive_click_transport</th>\n",
|
||
" <td>0</td>\n",
|
||
" </tr>\n",
|
||
" <tr>\n",
|
||
" <th>passive_imp_shopping</th>\n",
|
||
" <td>0</td>\n",
|
||
" </tr>\n",
|
||
" <tr>\n",
|
||
" <th>passive_click_shopping</th>\n",
|
||
" <td>0</td>\n",
|
||
" </tr>\n",
|
||
" <tr>\n",
|
||
" <th>passive_imp_hotel</th>\n",
|
||
" <td>0</td>\n",
|
||
" </tr>\n",
|
||
" <tr>\n",
|
||
" <th>passive_click_hotel</th>\n",
|
||
" <td>0</td>\n",
|
||
" </tr>\n",
|
||
" <tr>\n",
|
||
" <th>passive_imp_avia</th>\n",
|
||
" <td>0</td>\n",
|
||
" </tr>\n",
|
||
" <tr>\n",
|
||
" <th>passive_click_avia</th>\n",
|
||
" <td>0</td>\n",
|
||
" </tr>\n",
|
||
" <tr>\n",
|
||
" <th>orders_amt_ent</th>\n",
|
||
" <td>0</td>\n",
|
||
" </tr>\n",
|
||
" <tr>\n",
|
||
" <th>orders_amt_super</th>\n",
|
||
" <td>0</td>\n",
|
||
" </tr>\n",
|
||
" <tr>\n",
|
||
" <th>orders_amt_transport</th>\n",
|
||
" <td>0</td>\n",
|
||
" </tr>\n",
|
||
" <tr>\n",
|
||
" <th>orders_amt_shopping</th>\n",
|
||
" <td>0</td>\n",
|
||
" </tr>\n",
|
||
" <tr>\n",
|
||
" <th>orders_amt_hotel</th>\n",
|
||
" <td>0</td>\n",
|
||
" </tr>\n",
|
||
" <tr>\n",
|
||
" <th>orders_amt_avia</th>\n",
|
||
" <td>0</td>\n",
|
||
" </tr>\n",
|
||
" <tr>\n",
|
||
" <th>gender_cd</th>\n",
|
||
" <td>0</td>\n",
|
||
" </tr>\n",
|
||
" <tr>\n",
|
||
" <th>age</th>\n",
|
||
" <td>0</td>\n",
|
||
" </tr>\n",
|
||
" <tr>\n",
|
||
" <th>device_platform_cd</th>\n",
|
||
" <td>0</td>\n",
|
||
" </tr>\n",
|
||
" </tbody>\n",
|
||
"</table>\n",
|
||
"</div>"
|
||
],
|
||
"text/plain": [
|
||
" missing\n",
|
||
"id 0\n",
|
||
"business_dt 0\n",
|
||
"active_imp_ent 0\n",
|
||
"active_click_ent 0\n",
|
||
"active_imp_super 0\n",
|
||
"active_click_super 0\n",
|
||
"active_imp_transport 0\n",
|
||
"active_click_transport 0\n",
|
||
"active_imp_shopping 0\n",
|
||
"active_click_shopping 0\n",
|
||
"active_imp_hotel 0\n",
|
||
"active_click_hotel 0\n",
|
||
"active_imp_avia 0\n",
|
||
"active_click_avia 0\n",
|
||
"passive_imp_ent 0\n",
|
||
"passive_click_ent 0\n",
|
||
"passive_imp_super 0\n",
|
||
"passive_click_super 0\n",
|
||
"passive_imp_transport 0\n",
|
||
"passive_click_transport 0\n",
|
||
"passive_imp_shopping 0\n",
|
||
"passive_click_shopping 0\n",
|
||
"passive_imp_hotel 0\n",
|
||
"passive_click_hotel 0\n",
|
||
"passive_imp_avia 0\n",
|
||
"passive_click_avia 0\n",
|
||
"orders_amt_ent 0\n",
|
||
"orders_amt_super 0\n",
|
||
"orders_amt_transport 0\n",
|
||
"orders_amt_shopping 0\n",
|
||
"orders_amt_hotel 0\n",
|
||
"orders_amt_avia 0\n",
|
||
"gender_cd 0\n",
|
||
"age 0\n",
|
||
"device_platform_cd 0"
|
||
]
|
||
},
|
||
"execution_count": 9,
|
||
"metadata": {},
|
||
"output_type": "execute_result"
|
||
}
|
||
],
|
||
"source": [
|
||
"df.isna().sum().to_frame('missing')"
|
||
]
|
||
},
|
||
{
|
||
"cell_type": "markdown",
|
||
"id": "16acc953-c151-43b8-b923-aab2c3a25ffb",
|
||
"metadata": {},
|
||
"source": [
|
||
"В датасете отсуствуют пропущенные значения"
|
||
]
|
||
},
|
||
{
|
||
"cell_type": "code",
|
||
"execution_count": 10,
|
||
"id": "3e7aa15f",
|
||
"metadata": {
|
||
"ExecuteTime": {
|
||
"end_time": "2025-12-05T18:56:36.136503Z",
|
||
"start_time": "2025-12-05T18:56:36.004420Z"
|
||
}
|
||
},
|
||
"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>col</th>\n",
|
||
" <th>count</th>\n",
|
||
" <th>mean</th>\n",
|
||
" <th>median</th>\n",
|
||
" <th>std</th>\n",
|
||
" <th>min</th>\n",
|
||
" <th>q25</th>\n",
|
||
" <th>q75</th>\n",
|
||
" <th>max</th>\n",
|
||
" <th>share_zero</th>\n",
|
||
" <th>p95</th>\n",
|
||
" <th>p99</th>\n",
|
||
" </tr>\n",
|
||
" </thead>\n",
|
||
" <tbody>\n",
|
||
" <tr>\n",
|
||
" <th>0</th>\n",
|
||
" <td>active_imp_ent</td>\n",
|
||
" <td>118189</td>\n",
|
||
" <td>0.314</td>\n",
|
||
" <td>0.000</td>\n",
|
||
" <td>0.614</td>\n",
|
||
" <td>0.000</td>\n",
|
||
" <td>0.000</td>\n",
|
||
" <td>0.000</td>\n",
|
||
" <td>9.000</td>\n",
|
||
" <td>0.755</td>\n",
|
||
" <td>2.000</td>\n",
|
||
" <td>2.000</td>\n",
|
||
" </tr>\n",
|
||
" <tr>\n",
|
||
" <th>1</th>\n",
|
||
" <td>active_imp_super</td>\n",
|
||
" <td>118189</td>\n",
|
||
" <td>0.380</td>\n",
|
||
" <td>0.000</td>\n",
|
||
" <td>0.809</td>\n",
|
||
" <td>0.000</td>\n",
|
||
" <td>0.000</td>\n",
|
||
" <td>0.000</td>\n",
|
||
" <td>11.000</td>\n",
|
||
" <td>0.781</td>\n",
|
||
" <td>2.000</td>\n",
|
||
" <td>3.000</td>\n",
|
||
" </tr>\n",
|
||
" <tr>\n",
|
||
" <th>2</th>\n",
|
||
" <td>active_imp_transport</td>\n",
|
||
" <td>118189</td>\n",
|
||
" <td>0.574</td>\n",
|
||
" <td>0.000</td>\n",
|
||
" <td>0.944</td>\n",
|
||
" <td>0.000</td>\n",
|
||
" <td>0.000</td>\n",
|
||
" <td>1.000</td>\n",
|
||
" <td>24.000</td>\n",
|
||
" <td>0.665</td>\n",
|
||
" <td>3.000</td>\n",
|
||
" <td>3.000</td>\n",
|
||
" </tr>\n",
|
||
" <tr>\n",
|
||
" <th>3</th>\n",
|
||
" <td>active_imp_shopping</td>\n",
|
||
" <td>118189</td>\n",
|
||
" <td>0.255</td>\n",
|
||
" <td>0.000</td>\n",
|
||
" <td>0.565</td>\n",
|
||
" <td>0.000</td>\n",
|
||
" <td>0.000</td>\n",
|
||
" <td>0.000</td>\n",
|
||
" <td>6.000</td>\n",
|
||
" <td>0.803</td>\n",
|
||
" <td>2.000</td>\n",
|
||
" <td>2.000</td>\n",
|
||
" </tr>\n",
|
||
" <tr>\n",
|
||
" <th>4</th>\n",
|
||
" <td>active_imp_hotel</td>\n",
|
||
" <td>118189</td>\n",
|
||
" <td>0.141</td>\n",
|
||
" <td>0.000</td>\n",
|
||
" <td>0.483</td>\n",
|
||
" <td>0.000</td>\n",
|
||
" <td>0.000</td>\n",
|
||
" <td>0.000</td>\n",
|
||
" <td>7.000</td>\n",
|
||
" <td>0.902</td>\n",
|
||
" <td>1.000</td>\n",
|
||
" <td>2.000</td>\n",
|
||
" </tr>\n",
|
||
" <tr>\n",
|
||
" <th>5</th>\n",
|
||
" <td>active_imp_avia</td>\n",
|
||
" <td>118189</td>\n",
|
||
" <td>0.193</td>\n",
|
||
" <td>0.000</td>\n",
|
||
" <td>0.523</td>\n",
|
||
" <td>0.000</td>\n",
|
||
" <td>0.000</td>\n",
|
||
" <td>0.000</td>\n",
|
||
" <td>6.000</td>\n",
|
||
" <td>0.857</td>\n",
|
||
" <td>1.000</td>\n",
|
||
" <td>2.000</td>\n",
|
||
" </tr>\n",
|
||
" <tr>\n",
|
||
" <th>6</th>\n",
|
||
" <td>passive_imp_ent</td>\n",
|
||
" <td>118189</td>\n",
|
||
" <td>0.552</td>\n",
|
||
" <td>0.000</td>\n",
|
||
" <td>1.256</td>\n",
|
||
" <td>0.000</td>\n",
|
||
" <td>0.000</td>\n",
|
||
" <td>1.000</td>\n",
|
||
" <td>42.000</td>\n",
|
||
" <td>0.709</td>\n",
|
||
" <td>3.000</td>\n",
|
||
" <td>6.000</td>\n",
|
||
" </tr>\n",
|
||
" <tr>\n",
|
||
" <th>7</th>\n",
|
||
" <td>passive_imp_super</td>\n",
|
||
" <td>118189</td>\n",
|
||
" <td>0.280</td>\n",
|
||
" <td>0.000</td>\n",
|
||
" <td>0.859</td>\n",
|
||
" <td>0.000</td>\n",
|
||
" <td>0.000</td>\n",
|
||
" <td>0.000</td>\n",
|
||
" <td>26.000</td>\n",
|
||
" <td>0.837</td>\n",
|
||
" <td>2.000</td>\n",
|
||
" <td>4.000</td>\n",
|
||
" </tr>\n",
|
||
" <tr>\n",
|
||
" <th>8</th>\n",
|
||
" <td>passive_imp_transport</td>\n",
|
||
" <td>118189</td>\n",
|
||
" <td>0.794</td>\n",
|
||
" <td>0.000</td>\n",
|
||
" <td>1.472</td>\n",
|
||
" <td>0.000</td>\n",
|
||
" <td>0.000</td>\n",
|
||
" <td>1.000</td>\n",
|
||
" <td>43.000</td>\n",
|
||
" <td>0.597</td>\n",
|
||
" <td>3.000</td>\n",
|
||
" <td>7.000</td>\n",
|
||
" </tr>\n",
|
||
" <tr>\n",
|
||
" <th>9</th>\n",
|
||
" <td>passive_imp_shopping</td>\n",
|
||
" <td>118189</td>\n",
|
||
" <td>0.689</td>\n",
|
||
" <td>0.000</td>\n",
|
||
" <td>1.768</td>\n",
|
||
" <td>0.000</td>\n",
|
||
" <td>0.000</td>\n",
|
||
" <td>1.000</td>\n",
|
||
" <td>83.000</td>\n",
|
||
" <td>0.673</td>\n",
|
||
" <td>3.000</td>\n",
|
||
" <td>8.000</td>\n",
|
||
" </tr>\n",
|
||
" <tr>\n",
|
||
" <th>10</th>\n",
|
||
" <td>passive_imp_hotel</td>\n",
|
||
" <td>118189</td>\n",
|
||
" <td>0.987</td>\n",
|
||
" <td>0.000</td>\n",
|
||
" <td>1.811</td>\n",
|
||
" <td>0.000</td>\n",
|
||
" <td>0.000</td>\n",
|
||
" <td>1.000</td>\n",
|
||
" <td>44.000</td>\n",
|
||
" <td>0.535</td>\n",
|
||
" <td>4.000</td>\n",
|
||
" <td>8.000</td>\n",
|
||
" </tr>\n",
|
||
" <tr>\n",
|
||
" <th>11</th>\n",
|
||
" <td>passive_imp_avia</td>\n",
|
||
" <td>118189</td>\n",
|
||
" <td>0.702</td>\n",
|
||
" <td>0.000</td>\n",
|
||
" <td>1.400</td>\n",
|
||
" <td>0.000</td>\n",
|
||
" <td>0.000</td>\n",
|
||
" <td>1.000</td>\n",
|
||
" <td>52.000</td>\n",
|
||
" <td>0.615</td>\n",
|
||
" <td>3.000</td>\n",
|
||
" <td>6.000</td>\n",
|
||
" </tr>\n",
|
||
" <tr>\n",
|
||
" <th>12</th>\n",
|
||
" <td>active_click_ent</td>\n",
|
||
" <td>118189</td>\n",
|
||
" <td>0.240</td>\n",
|
||
" <td>0.000</td>\n",
|
||
" <td>0.483</td>\n",
|
||
" <td>0.000</td>\n",
|
||
" <td>0.000</td>\n",
|
||
" <td>0.000</td>\n",
|
||
" <td>6.000</td>\n",
|
||
" <td>0.781</td>\n",
|
||
" <td>1.000</td>\n",
|
||
" <td>2.000</td>\n",
|
||
" </tr>\n",
|
||
" <tr>\n",
|
||
" <th>13</th>\n",
|
||
" <td>active_click_super</td>\n",
|
||
" <td>118189</td>\n",
|
||
" <td>0.276</td>\n",
|
||
" <td>0.000</td>\n",
|
||
" <td>0.542</td>\n",
|
||
" <td>0.000</td>\n",
|
||
" <td>0.000</td>\n",
|
||
" <td>0.000</td>\n",
|
||
" <td>9.000</td>\n",
|
||
" <td>0.765</td>\n",
|
||
" <td>1.000</td>\n",
|
||
" <td>2.000</td>\n",
|
||
" </tr>\n",
|
||
" <tr>\n",
|
||
" <th>14</th>\n",
|
||
" <td>active_click_transport</td>\n",
|
||
" <td>118189</td>\n",
|
||
" <td>0.443</td>\n",
|
||
" <td>0.000</td>\n",
|
||
" <td>0.645</td>\n",
|
||
" <td>0.000</td>\n",
|
||
" <td>0.000</td>\n",
|
||
" <td>1.000</td>\n",
|
||
" <td>11.000</td>\n",
|
||
" <td>0.630</td>\n",
|
||
" <td>2.000</td>\n",
|
||
" <td>2.000</td>\n",
|
||
" </tr>\n",
|
||
" <tr>\n",
|
||
" <th>15</th>\n",
|
||
" <td>active_click_shopping</td>\n",
|
||
" <td>118189</td>\n",
|
||
" <td>0.199</td>\n",
|
||
" <td>0.000</td>\n",
|
||
" <td>0.450</td>\n",
|
||
" <td>0.000</td>\n",
|
||
" <td>0.000</td>\n",
|
||
" <td>0.000</td>\n",
|
||
" <td>5.000</td>\n",
|
||
" <td>0.820</td>\n",
|
||
" <td>1.000</td>\n",
|
||
" <td>2.000</td>\n",
|
||
" </tr>\n",
|
||
" <tr>\n",
|
||
" <th>16</th>\n",
|
||
" <td>active_click_hotel</td>\n",
|
||
" <td>118189</td>\n",
|
||
" <td>0.035</td>\n",
|
||
" <td>0.000</td>\n",
|
||
" <td>0.185</td>\n",
|
||
" <td>0.000</td>\n",
|
||
" <td>0.000</td>\n",
|
||
" <td>0.000</td>\n",
|
||
" <td>2.000</td>\n",
|
||
" <td>0.965</td>\n",
|
||
" <td>0.000</td>\n",
|
||
" <td>1.000</td>\n",
|
||
" </tr>\n",
|
||
" <tr>\n",
|
||
" <th>17</th>\n",
|
||
" <td>active_click_avia</td>\n",
|
||
" <td>118189</td>\n",
|
||
" <td>0.054</td>\n",
|
||
" <td>0.000</td>\n",
|
||
" <td>0.227</td>\n",
|
||
" <td>0.000</td>\n",
|
||
" <td>0.000</td>\n",
|
||
" <td>0.000</td>\n",
|
||
" <td>2.000</td>\n",
|
||
" <td>0.946</td>\n",
|
||
" <td>1.000</td>\n",
|
||
" <td>1.000</td>\n",
|
||
" </tr>\n",
|
||
" <tr>\n",
|
||
" <th>18</th>\n",
|
||
" <td>passive_click_ent</td>\n",
|
||
" <td>118189</td>\n",
|
||
" <td>0.027</td>\n",
|
||
" <td>0.000</td>\n",
|
||
" <td>0.190</td>\n",
|
||
" <td>0.000</td>\n",
|
||
" <td>0.000</td>\n",
|
||
" <td>0.000</td>\n",
|
||
" <td>11.000</td>\n",
|
||
" <td>0.976</td>\n",
|
||
" <td>0.000</td>\n",
|
||
" <td>1.000</td>\n",
|
||
" </tr>\n",
|
||
" <tr>\n",
|
||
" <th>19</th>\n",
|
||
" <td>passive_click_super</td>\n",
|
||
" <td>118189</td>\n",
|
||
" <td>0.009</td>\n",
|
||
" <td>0.000</td>\n",
|
||
" <td>0.118</td>\n",
|
||
" <td>0.000</td>\n",
|
||
" <td>0.000</td>\n",
|
||
" <td>0.000</td>\n",
|
||
" <td>5.000</td>\n",
|
||
" <td>0.993</td>\n",
|
||
" <td>0.000</td>\n",
|
||
" <td>0.000</td>\n",
|
||
" </tr>\n",
|
||
" <tr>\n",
|
||
" <th>20</th>\n",
|
||
" <td>passive_click_transport</td>\n",
|
||
" <td>118189</td>\n",
|
||
" <td>0.020</td>\n",
|
||
" <td>0.000</td>\n",
|
||
" <td>0.155</td>\n",
|
||
" <td>0.000</td>\n",
|
||
" <td>0.000</td>\n",
|
||
" <td>0.000</td>\n",
|
||
" <td>7.000</td>\n",
|
||
" <td>0.981</td>\n",
|
||
" <td>0.000</td>\n",
|
||
" <td>1.000</td>\n",
|
||
" </tr>\n",
|
||
" <tr>\n",
|
||
" <th>21</th>\n",
|
||
" <td>passive_click_shopping</td>\n",
|
||
" <td>118189</td>\n",
|
||
" <td>0.011</td>\n",
|
||
" <td>0.000</td>\n",
|
||
" <td>0.128</td>\n",
|
||
" <td>0.000</td>\n",
|
||
" <td>0.000</td>\n",
|
||
" <td>0.000</td>\n",
|
||
" <td>7.000</td>\n",
|
||
" <td>0.991</td>\n",
|
||
" <td>0.000</td>\n",
|
||
" <td>0.000</td>\n",
|
||
" </tr>\n",
|
||
" <tr>\n",
|
||
" <th>22</th>\n",
|
||
" <td>passive_click_hotel</td>\n",
|
||
" <td>118189</td>\n",
|
||
" <td>0.058</td>\n",
|
||
" <td>0.000</td>\n",
|
||
" <td>0.242</td>\n",
|
||
" <td>0.000</td>\n",
|
||
" <td>0.000</td>\n",
|
||
" <td>0.000</td>\n",
|
||
" <td>8.000</td>\n",
|
||
" <td>0.944</td>\n",
|
||
" <td>1.000</td>\n",
|
||
" <td>1.000</td>\n",
|
||
" </tr>\n",
|
||
" <tr>\n",
|
||
" <th>23</th>\n",
|
||
" <td>passive_click_avia</td>\n",
|
||
" <td>118189</td>\n",
|
||
" <td>0.028</td>\n",
|
||
" <td>0.000</td>\n",
|
||
" <td>0.182</td>\n",
|
||
" <td>0.000</td>\n",
|
||
" <td>0.000</td>\n",
|
||
" <td>0.000</td>\n",
|
||
" <td>8.000</td>\n",
|
||
" <td>0.974</td>\n",
|
||
" <td>0.000</td>\n",
|
||
" <td>1.000</td>\n",
|
||
" </tr>\n",
|
||
" <tr>\n",
|
||
" <th>24</th>\n",
|
||
" <td>orders_amt_ent</td>\n",
|
||
" <td>118189</td>\n",
|
||
" <td>0.010</td>\n",
|
||
" <td>0.000</td>\n",
|
||
" <td>0.115</td>\n",
|
||
" <td>0.000</td>\n",
|
||
" <td>0.000</td>\n",
|
||
" <td>0.000</td>\n",
|
||
" <td>11.000</td>\n",
|
||
" <td>0.991</td>\n",
|
||
" <td>0.000</td>\n",
|
||
" <td>0.000</td>\n",
|
||
" </tr>\n",
|
||
" <tr>\n",
|
||
" <th>25</th>\n",
|
||
" <td>orders_amt_super</td>\n",
|
||
" <td>118189</td>\n",
|
||
" <td>0.022</td>\n",
|
||
" <td>0.000</td>\n",
|
||
" <td>0.155</td>\n",
|
||
" <td>0.000</td>\n",
|
||
" <td>0.000</td>\n",
|
||
" <td>0.000</td>\n",
|
||
" <td>4.000</td>\n",
|
||
" <td>0.980</td>\n",
|
||
" <td>0.000</td>\n",
|
||
" <td>1.000</td>\n",
|
||
" </tr>\n",
|
||
" <tr>\n",
|
||
" <th>26</th>\n",
|
||
" <td>orders_amt_transport</td>\n",
|
||
" <td>118189</td>\n",
|
||
" <td>0.053</td>\n",
|
||
" <td>0.000</td>\n",
|
||
" <td>0.242</td>\n",
|
||
" <td>0.000</td>\n",
|
||
" <td>0.000</td>\n",
|
||
" <td>0.000</td>\n",
|
||
" <td>5.000</td>\n",
|
||
" <td>0.950</td>\n",
|
||
" <td>0.000</td>\n",
|
||
" <td>1.000</td>\n",
|
||
" </tr>\n",
|
||
" <tr>\n",
|
||
" <th>27</th>\n",
|
||
" <td>orders_amt_shopping</td>\n",
|
||
" <td>118189</td>\n",
|
||
" <td>0.008</td>\n",
|
||
" <td>0.000</td>\n",
|
||
" <td>0.114</td>\n",
|
||
" <td>0.000</td>\n",
|
||
" <td>0.000</td>\n",
|
||
" <td>0.000</td>\n",
|
||
" <td>11.000</td>\n",
|
||
" <td>0.994</td>\n",
|
||
" <td>0.000</td>\n",
|
||
" <td>0.000</td>\n",
|
||
" </tr>\n",
|
||
" <tr>\n",
|
||
" <th>28</th>\n",
|
||
" <td>orders_amt_hotel</td>\n",
|
||
" <td>118189</td>\n",
|
||
" <td>0.004</td>\n",
|
||
" <td>0.000</td>\n",
|
||
" <td>0.067</td>\n",
|
||
" <td>0.000</td>\n",
|
||
" <td>0.000</td>\n",
|
||
" <td>0.000</td>\n",
|
||
" <td>3.000</td>\n",
|
||
" <td>0.996</td>\n",
|
||
" <td>0.000</td>\n",
|
||
" <td>0.000</td>\n",
|
||
" </tr>\n",
|
||
" <tr>\n",
|
||
" <th>29</th>\n",
|
||
" <td>orders_amt_avia</td>\n",
|
||
" <td>118189</td>\n",
|
||
" <td>0.009</td>\n",
|
||
" <td>0.000</td>\n",
|
||
" <td>0.109</td>\n",
|
||
" <td>0.000</td>\n",
|
||
" <td>0.000</td>\n",
|
||
" <td>0.000</td>\n",
|
||
" <td>6.000</td>\n",
|
||
" <td>0.993</td>\n",
|
||
" <td>0.000</td>\n",
|
||
" <td>0.000</td>\n",
|
||
" </tr>\n",
|
||
" </tbody>\n",
|
||
"</table>\n",
|
||
"</div>"
|
||
],
|
||
"text/plain": [
|
||
" col count mean median std min q25 q75 \\\n",
|
||
"0 active_imp_ent 118189 0.314 0.000 0.614 0.000 0.000 0.000 \n",
|
||
"1 active_imp_super 118189 0.380 0.000 0.809 0.000 0.000 0.000 \n",
|
||
"2 active_imp_transport 118189 0.574 0.000 0.944 0.000 0.000 1.000 \n",
|
||
"3 active_imp_shopping 118189 0.255 0.000 0.565 0.000 0.000 0.000 \n",
|
||
"4 active_imp_hotel 118189 0.141 0.000 0.483 0.000 0.000 0.000 \n",
|
||
"5 active_imp_avia 118189 0.193 0.000 0.523 0.000 0.000 0.000 \n",
|
||
"6 passive_imp_ent 118189 0.552 0.000 1.256 0.000 0.000 1.000 \n",
|
||
"7 passive_imp_super 118189 0.280 0.000 0.859 0.000 0.000 0.000 \n",
|
||
"8 passive_imp_transport 118189 0.794 0.000 1.472 0.000 0.000 1.000 \n",
|
||
"9 passive_imp_shopping 118189 0.689 0.000 1.768 0.000 0.000 1.000 \n",
|
||
"10 passive_imp_hotel 118189 0.987 0.000 1.811 0.000 0.000 1.000 \n",
|
||
"11 passive_imp_avia 118189 0.702 0.000 1.400 0.000 0.000 1.000 \n",
|
||
"12 active_click_ent 118189 0.240 0.000 0.483 0.000 0.000 0.000 \n",
|
||
"13 active_click_super 118189 0.276 0.000 0.542 0.000 0.000 0.000 \n",
|
||
"14 active_click_transport 118189 0.443 0.000 0.645 0.000 0.000 1.000 \n",
|
||
"15 active_click_shopping 118189 0.199 0.000 0.450 0.000 0.000 0.000 \n",
|
||
"16 active_click_hotel 118189 0.035 0.000 0.185 0.000 0.000 0.000 \n",
|
||
"17 active_click_avia 118189 0.054 0.000 0.227 0.000 0.000 0.000 \n",
|
||
"18 passive_click_ent 118189 0.027 0.000 0.190 0.000 0.000 0.000 \n",
|
||
"19 passive_click_super 118189 0.009 0.000 0.118 0.000 0.000 0.000 \n",
|
||
"20 passive_click_transport 118189 0.020 0.000 0.155 0.000 0.000 0.000 \n",
|
||
"21 passive_click_shopping 118189 0.011 0.000 0.128 0.000 0.000 0.000 \n",
|
||
"22 passive_click_hotel 118189 0.058 0.000 0.242 0.000 0.000 0.000 \n",
|
||
"23 passive_click_avia 118189 0.028 0.000 0.182 0.000 0.000 0.000 \n",
|
||
"24 orders_amt_ent 118189 0.010 0.000 0.115 0.000 0.000 0.000 \n",
|
||
"25 orders_amt_super 118189 0.022 0.000 0.155 0.000 0.000 0.000 \n",
|
||
"26 orders_amt_transport 118189 0.053 0.000 0.242 0.000 0.000 0.000 \n",
|
||
"27 orders_amt_shopping 118189 0.008 0.000 0.114 0.000 0.000 0.000 \n",
|
||
"28 orders_amt_hotel 118189 0.004 0.000 0.067 0.000 0.000 0.000 \n",
|
||
"29 orders_amt_avia 118189 0.009 0.000 0.109 0.000 0.000 0.000 \n",
|
||
"\n",
|
||
" max share_zero p95 p99 \n",
|
||
"0 9.000 0.755 2.000 2.000 \n",
|
||
"1 11.000 0.781 2.000 3.000 \n",
|
||
"2 24.000 0.665 3.000 3.000 \n",
|
||
"3 6.000 0.803 2.000 2.000 \n",
|
||
"4 7.000 0.902 1.000 2.000 \n",
|
||
"5 6.000 0.857 1.000 2.000 \n",
|
||
"6 42.000 0.709 3.000 6.000 \n",
|
||
"7 26.000 0.837 2.000 4.000 \n",
|
||
"8 43.000 0.597 3.000 7.000 \n",
|
||
"9 83.000 0.673 3.000 8.000 \n",
|
||
"10 44.000 0.535 4.000 8.000 \n",
|
||
"11 52.000 0.615 3.000 6.000 \n",
|
||
"12 6.000 0.781 1.000 2.000 \n",
|
||
"13 9.000 0.765 1.000 2.000 \n",
|
||
"14 11.000 0.630 2.000 2.000 \n",
|
||
"15 5.000 0.820 1.000 2.000 \n",
|
||
"16 2.000 0.965 0.000 1.000 \n",
|
||
"17 2.000 0.946 1.000 1.000 \n",
|
||
"18 11.000 0.976 0.000 1.000 \n",
|
||
"19 5.000 0.993 0.000 0.000 \n",
|
||
"20 7.000 0.981 0.000 1.000 \n",
|
||
"21 7.000 0.991 0.000 0.000 \n",
|
||
"22 8.000 0.944 1.000 1.000 \n",
|
||
"23 8.000 0.974 0.000 1.000 \n",
|
||
"24 11.000 0.991 0.000 0.000 \n",
|
||
"25 4.000 0.980 0.000 1.000 \n",
|
||
"26 5.000 0.950 0.000 1.000 \n",
|
||
"27 11.000 0.994 0.000 0.000 \n",
|
||
"28 3.000 0.996 0.000 0.000 \n",
|
||
"29 6.000 0.993 0.000 0.000 "
|
||
]
|
||
},
|
||
"execution_count": 10,
|
||
"metadata": {},
|
||
"output_type": "execute_result"
|
||
}
|
||
],
|
||
"source": [
|
||
"describe_zero_share(df, ACTIVE_IMP_COLS + PASSIVE_IMP_COLS + ACTIVE_CLICK_COLS + PASSIVE_CLICK_COLS + ORDER_COLS)"
|
||
]
|
||
},
|
||
{
|
||
"cell_type": "markdown",
|
||
"id": "4a2e8f9f-e9af-4bf9-bc69-cf12979ef359",
|
||
"metadata": {},
|
||
"source": [
|
||
"Достаточно странные минимальные/максимальные значения некоторых полей, относительно средних значений, построим boxplots"
|
||
]
|
||
},
|
||
{
|
||
"cell_type": "code",
|
||
"execution_count": 11,
|
||
"id": "7c2b1102-0114-48de-a88b-f442812b70d6",
|
||
"metadata": {},
|
||
"outputs": [
|
||
{
|
||
"data": {
|
||
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vvvii7d6927ftwQcfdOnOv//+exs3bpzt2rXLGjRo4DKtfvPNNzZgwAA3mY3gN8INAXAAQUOrvR977DE3UP7RRx+5WWtKeX748GGXvmXy5Mk2ffr0QJ8mAABhO4DuP5AeeXA8Mg2W+x+vleCkWgMAIPGNGTPGrQyLDbXdXnut7Gw7d+6k/QYAIEgo8L1+/XqbMmVKhCD4Qw895BaWff755668qPYpCP7yyy+7oPmQIUMCet5AIBAABxAU1MnWajGlaDl48KBLyaJ6ofp+6NChrsNdqVIl93i5AXcAABB/1O56K7+UpeXo0aNu9vjlgtn+aVTnz5/vao4p/TkAAEg4Sn06e/ZsX1usCWha/ZUjRw7ftti03XqPnj17ulVkAAAg8UU1Bt6lSxdr0aKFrVmzxi0W82+nVT60XLly7itv3rxurP322293q8IfeOCBRD57IPBSBvoEACBySrUiRYq4Oia9e/d2QfAsWbK4zrcX/Gb1GAAAicdrd8ePH29Lly51QXC1zT169LCKFSv60ptHN4A+a9YsN5nt1VdfJf05AAAJ6O+//3btslKj6rFx48Zu0tq///7rAuGi9jmqfnXktvuVV15xJchuueUWPjMAABKZf1s9b94827Bhg2vLBw4caB06dHD7Fy5caK+//rq1a9fOrrvuOvvhhx/cqu+2bdv62nsvCA6EIwLgAIKKGubUqVO71Cxffvml+/62225zjbVWjVE3FACAxBF5IFxlSHr16uWytCxbtswef/xx69evn91zzz0Rjo38uhEjRtjw4cNdOjYAAJBwsmbNat26dbNrrrnGrd5W/7pp06aWJ08eO3HihKsDrsnmkYPfCpKrz+0f/Faq1Pr16/NxAQAQAF5brRTmCoDXrFnTteGa7Kb2Xv1x1fRWiZPFixe7bWr3NXnNK0fGIjKEu2QXY8p9BADx4EpXbft3vj0EvwEACAylTdXK77Jly1qrVq18259//nk34/zjjz92JUyiWz2mAXTNQgcAAInT7967d6+rDfree++5gfNPPvnEfvzxRytWrJhly5bNSpcubbfeeqvre1epUsX3HrTdAAAED/W3FdBWqnOlN9dEtm3bttny5ctdNjZlaVmxYoVt2bLFjZ0//PDDbvFYVGPrQDgiAA4g0TrhW7dutaJFi8YqGO7/upMnT1r69On5pAAASGS//vqrvfDCC7Z582Z76aWXrHnz5i7tmjK0SJMmTezGG290K8H9O9kqXaJV3wS/AQBI/EnnapNPnTrlBs0V1NYEtfvvv99NWNPEtkOHDtnvv/9uN910k82YMcNNXtNxOn7QoEFMXAMAIAi88847LsA9adIkN5HtrbfesnXr1rmsLlrxPXjwYKtevXqE1xD8Bv4n9ksyAeAKaOaZ+0/m/3fCZ86c6VKxaTba5finaFGKF6VOPXPmDNcfAIBEGED3V7hwYWvZsqXlzJnTrR4TBb/Vnusre/bsvvIkXvD7zTffdCu/Vfebld8AACR82+31nxXM7tq1q0t7vmnTJlcTVKvBFOBWm96+fXubNm2a62er7Ngbb7zh9q1atcr69+9P8BsAgCDgJW1WX1sLylTT+8EHH3TtfZ8+fVwwXIFub/zdHyu/gf+hBjiAeDdu3Dj76KOPXOe5WrVqbtuePXtc3TFvxVh0IqdO1cqxMWPGWJo0afikAABIpAH0n376ydKmTesyt9x3332uttjbb7/t0p6rfVdHXMdrdZlmnntUj0z1wTWITt1QAAASjrfCy2u7R48ebXPmzLF7773XcufObfv27XPpzdu0aeMmlKtvnTlzZhcc1+sqVKjgey+tBFdQvEyZMnxkAAAEmDc2ftddd9k///xju3fvttatW9vNN9/s2nLdA+TLl8+uueaaQJ8qENQIgAOIdyVLlnSp1RS4fuqpp6xGjRpu4DxyGnNvNpvXqEcOfmvlt1aQ1alTh08JAIAE5g2gq/398MMP7ejRo3bHHXdYhw4drEWLFq6TrZVlSoOutv7YsWN2+PBhe+SRR3zvkSVLFtf+Z8qUic8LAIAE5L/Ca+PGjbZo0SJ79dVXI9T0FrXVasc1ca13794ue0vNmjUvCaQT/AYAIHio3Vaw+/HHH/dNNld7r6C3SpaoZGijRo0CfZpAUCMADiDe1atXz63Ynj59ur322mtuMPzaa6+19957z1auXOmely5d2hfsjir4rcA3dUMBAEh4/m2wVm9/8cUXrt733r17beLEiW6Vd+fOna1Vq1ZugFz1x5YvX269evVyWV/8B8/1PgS/AQBIOJqYlitXLtdWe86ePWvHjx+3dOnS+badO3fO9u/f71aAT5482Z588knLnz//JbVCSZUKAEDwTlD32nRlZJs/f75bZKYsqx988IFrw6n5DUSPADiABEmdWqtWLfe9Otovv/yya5CVsuWZZ55xx6mhzps3rxUpUsQaN25s5cqVc6+bPXs2wW8AAALQdp8+fdqt6r711lvttttuc9uUVu3FF190E9qefvppVw9cr3n33Xdt8eLFzDgHACCRKfNKxYoVI2xT8FuZW/Ql58+fdwPkCnirLVc98KpVq7oa4N5+lTMBAADBT236ww8/bLfccoub7FaqVCnXj6c9B2L2v2kkABBPA+jbtm2zHTt2uE75s88+61aD//zzz3b//ffbggUL3GoyNdii1C1aDS5vvfWWDR8+3IYOHWoNGjTg8wAAIIF5bbdSpio9qrKv/PXXX779CoYPGDDAfvvtNxs/frxt2LDBHac2/Y8//vANpLN6DACAhPXmm2+6QLbqdauP/cYbb1izZs3cPvWvVXqsa9euri/uBbcVGNegedasWSO8F8FvAACS1rh7xowZrXLlyq5kCcFvIHaY7gkgXlKnegPoqvupFWGaeV6pUiUX0H7wwQddXZJvvvnG7rrrLrvxxhvdlz/VMVmzZo0bZK9fvz6fCgAACdhuqwPtBa3feecdl4HlgQcesLVr19q3335r06ZN89X29oLgTzzxhBUuXNhlbWnatKmdOXPGTWzbt2+fy+wCAAAShtpnTRRv0qSJPfTQQ24SudreXbt2ueczZsyw559/3gXAmzdv7kqXKMit0iYqT6J+OAAACJ4SZP6lyPwXlkVF+/yPV+mT1KlTJ9o5A0lVsov6ywGAq+TfQGuwXLPQR4wY4Rrk9OnTW4UKFdw+1f6eMmWKS6+qmmVealV/J06csAwZMvBZAACQQLZu3WrFixf3Pf/uu+9cNpYCBQq4CWha/a2MLJ999plb3e0FweWnn36y8uXL+wLnqg2uWmSZM2fm8wIAIIF9+umnrryYUpk//vjjVrRoUfvyyy+tT58+VrZsWdcXV9usY3788UfLlCmTKzumSelaBU6NUAAAgmccXYvB1LfWWPjlMqr5B79VB/z33393WVfJ6ALEjAA4gKsyc+ZMt1LMowFwrQxTKhZ1xv3NnTvX1fpWo6xZ6ddff70NHDiQKw8AQCIaNmyYbd++3SZPnuwGwffu3Wu3336729erVy9fOvOdO3e6VeEKgisA7m33qM6YOuheBxwAACQc/8D1woULXXuuNOjqfysIvmTJEuvbt69bFa6V4HLgwAG75ppr3OowtdfUCAUAIHiovNjSpUvtn3/+sSxZsliPHj1cKVHV944p+D1r1iyXEUYlzGrXrh2AMweSFmqAA7iq2mNKj6qOuOfYsWOuHplWfYv/vlWrVrlV4VoN/sILL1j//v256gAAJLK7777bxo0b574/dOiQ5c+f395++23LkSOHa9f37Nnj9hUqVMjatm1rDRs2dKvINNjuTxPaCH4DAJDw/EuWiNrmQYMGuT72hAkT7I8//nCT2QYPHmybN2925cckV65crk64l2KVFWIAAASOfxJmBbGnT59u999/vz366KOuzdZiMq/f7X9s5OC3xteV2YXgNxA7rAAHcMUU7FagWx1xpTavXr262646Yzt27HCp1zSY7s0yHzVqlOuYa3ab53K1TQAAQMJQx1o1vbUSvFKlSvb999+7VWQ1atRwK8hy587tjtu2bZutWLHCWrdufdmUbAAAIH7595mVlUXpTtW/VmYWTVx78cUXrVq1atapUye3ElwryZ588klr06aN9evXj48DAIAg880337j2WqVLWrVq5duujKnqp3/88ceuPFlUwe9XXnnFhgwZYg0aNAjY+QNJDdEnALGmAPfYsWPdTHINhKvTrRQtWh0mmrnmNdqqY6LOuVaCa2W4ZrNF+M+H4DcAAAGhFGvlypWz5557ztatW+cGzzVJTcFudaj379/vjrvuuuusXbt2rs33z+wCAAASntdn1kovpT1fs2aNbdiwwa3+rlu3ritfokls3kpwbVMJE9UEBwAAweXXX3+1MWPG2Jw5cyxVqlRu29mzZ92jsrsULFjQZV0V9b+94Pfs2bMJfgNXiQA4gFhTqtRJkya5+t+ahaYaY3fccYcbMFdgXCvBlbpFNUXvuusu69ixo91zzz3uuVaURU7jAgAAEp9Wemu1mNr1nj17uiC42nAFwb/77ju37ciRIxFewwpwAAAS39dff20LFixw/W3V91aq81tvvdXtU5979OjR9uOPP7pJ6bt377YqVaowcQ0AgCDJ5OKvcOHC1rJlS8uZM6d98sknblvq1KldBlV9Zc+e3VeyxOt/KyCuld+q+83Kb+DKEQAHEGsaEH/66add53ratGmWLVs2e+qpp+zmm292DbfqijZu3Nh1zlU7tEiRIq5T/uGHH/pWg1MzFACAwPEmolWtWtU6dOjgOuHK5uIFwUeOHOk621olDgAAAuuvv/5yK8IqVKjgnmfOnNk9ajV4kyZNrHz58ta1a1fXdufNm9f3OiauAQAQHGVMfvrpJ5cdNW3atHbfffe5ciUHDhxwGVRFY+Y69tSpU5Y1a1bfeyi76rJly6x///5Wv379gP0uQFL2f1NKACCWjfbjjz/uAtkjRoxwg+iPPfaY2yaqVXLu3Dnr0qWLqyXqT6+hEw4AQGBpIppXS0xBcJk6dar17t3bBg4caLVq1XJfkdt/AACQ+NSPVnpzDZSrrJjXNqvfrW3bt2+3pk2bui+h7QYAIPC8frTGz7Uw7OjRoy6Lqiaht2jRwrXvyuzSvHlzK1mypB07dswOHz5sjzzyiO89NCldKdMzZcoUwN8ESNoIgAOIkX8H+vTp066B1kw11QFXI64BdKU9VxBc33/55ZduhpoG0f0R/AYAIHiD4EqrphInN910k28fwW8AAAKrXLlybgD8rbfeclnWcufO7bZrVXi+fPlcylSh7QYAIPC89li0evuLL76wl156yZUHnThxolvl3blzZ2vVqpUbK1ep0eXLl1uvXr1cZlX/RWR6H4LfQNwQAAcQY6PtDX5PmTLF1q5d62afa4V3u3bt7OzZsy5Vqv9KcM1oO3nyZIQGHwAABHcQfMCAAVaqVKlAnxYAAPCjmt716tWzRYsWub62So5lzJjR9cPTp09vZcuWdcfR9wYAILgWkWlV96233mq33Xab26aJay+++KK99tprrsSo6oHrNe+++64tXrzYGjVqFODfAAg9yS56hQABIBqvvvqqzZo1y5599lk3Y61ixYpWu3Ztt0+1wLUSvHv37i5Ny/Hjx11HXA0+QXAAAAIjtm0wbTUAAME/kO6tEFPt79KlS1u6dOnszTfftFSpUpH2HACAIBtHV0D7n3/+sQoVKriV355vvvnG1fQuX768S4eu9OcffPCBvfPOOy7Ly/Tp0wN67kCoYQU4gBjt2LHDNc4vv/yyryao59tvv7UGDRq4wXOlTlVNMm+2GrXHAABIPJHb3atZCab2Pnv27C7dKgAACCy1614aVGVba926te3cudMFv4sUKeL2KwV6ypQM7QEAEAgaE1df3Cv9qUD27Nmz7YEHHnCZVDV2rsVjXm1vrQhX9rUnnnjCChcu7PreTZs2tTNnztiCBQts3759lidPHj5MIJ5wlwwgRmqA1cnWzHKPOtmHDh1yQXGlPlcN8KxZs9qdd97pO4a6oQAAJH7wWzPNVa5EGVu8dGvRtcn+q79V/3vs2LE2fvx4PjYAAIKEBtS99lp1QP0nqSk4TvAbAIDA2Lp1qxUvXtwX/P7uu+/cOLpWeNevX9/++usve+utt3yrur0guBaYKVCuVeCiTKr33XeftWjRwjJnzszHCcSjqEfDAOD/U0c7S5YsLgh+7tw5t02dbM1GU1Bcjb2okdZ2BccBAEDi8QLcw4cPd5PTfvnlF9fxfvLJJ23ChAl26tSpGIPfKnMyatQoe+GFF6xSpUp8dAAAJJLYVCX02mtNePPnDbgDAIDENWzYMFcS1JuQtmvXLnv44YddhtTdu3e77QUKFLA2bdq4BWMKgvunN1d5UbXjGkfXvYCyuxD8BuIfAXAAMSpRooRVrlzZxowZYytXrnSNupw8edLSpk1r+fLli3A8M9ABAEh8n332mX388ccukK0aY15WFs0qV+0x/0H2yMFvddIHDx4cIZMLAACIf5GD2LEtWaK225vwppIl69ev5+MBACBA7r77bhs3bpz7XllS8+fPb2+//bblyJHDpT3fs2eP21eoUCFr27atNWzY0E1WX7hw4SXj6FdTvgxA7CS7GJvppgDCOqWq/pvo1KmTrVmzxtX4VmO+evVq18DPmzePoDcAAAFqoz1Tpkxxqc/VqV60aJH17t3bfdWuXdu6d+9uPXr0sAoVKkQZ/B4yZIg1aNCAzxAAgCRUsoSsLQAABJYC2qrpPXnyZNcuf//9966+d40aNaxv376WO3dud9y2bdtsxYoV1rp1azK4AImIFeAAov8P4v8Hv9XZnjRpkj3wwAMujYtWgl977bU2d+5cF/z2VoUDAIDE4Q2S79+/3z0eO3bMTpw4YZ9++qkLfPfs2dNatWrlMrZs2bLFduzY4Y7zBtDfffddt1qc4DcAAInbdlOyBACA0KCyoeXKlbPnnnvO1q1bZ9WqVXOT1BTsVl/b669fd9111q5dOxf8ZhwdSDwpE/FnAUiCNFDuzVTv0qWLqwOuoHjq1KndftUqIe05AACJT8Hufv362fLly+366693E9P0fdeuXe3+++93x6hcSfbs2V32Fs/atWtdyvORI0ey8hsAgACULNHguNrur7/+2j766CNfyRLVAPUmoZO1BQCA4KaV3hojV0Y2TULXJLfq1au7dr5z585u2+jRoy1btmy+1ygIDiBxsAIcQKxXgouC3V7wW9sIfgMAEBhFixZ1GVmWLl1qt99+u+t8a6KabN682X7//Xd74YUXLHPmzHbTTTf5Xle4cGFXwoSa3wAAJG7N77/++stuueUWF/xWyRJNMlfq1FKlSrlB8l9++YXgNwAASYA3Vl61alXr0KGD62er9JhWgisIrgnnCnZrlTiAwCAADoRxA30lIs9AP3XqlO97AACQsLzAtj91sPPly2cffvihe67Z5gpqv/POO9akSRPX+T5+/Li9/fbbEVKtafa5BtoBAEDComQJAAChyRsr94Lgjz32mEt1rpJkq1atslq1atkbb7zh7gUiT4gDkDgIgANhRg2uF7g+ffq0qxeqwfHLBcb9g99aNTZz5kw7c+ZMIp01AADhafbs2e4xVapU7vG3337z7UuTJo1169bNrRZT+nPRLPOxY8e6FGyDBg1ytb71WpUsIdUaAACBKVmiCWrqe2vlt0qR9OnTx5599tlYlSzRCvEGDRrw0QEAEORB8EcffdRlYNO4uXj7vAlxABIXf3lAGPFqecu0adNcirVmzZq5WqFLliyJdkW3f/BbA/F9+/a1IkWKuIF3AACQMNTmqlaot3Jb3z/88MNusHzNmjW2f/9+K1GihNWtW9cFwb2JaVrdrdnm5cqV8802p2QJAACBQckSAADCJwiuiWuq+w0g8JJdvJpcyACStFGjRtkHH3zgAt/p0qWz119/3bZs2WLLly+PMOM8cvB71qxZ9sorr9jQoUOtfv36ATp7AADCw+HDh129MK3cVoBbAe2vvvrKreretm2bS4H+yCOP2JEjR1wn+/3337dixYpFaLsBAEDilizxsrZ4NEGtc+fOdvbsWZs+fbrb5mVwUU3w0qVLuxXgb731lnutJr6RtQUAgOAQ2/41/XAg+LACHAgzmzdvdoPnSo96zz33uIH1PXv22IgRI2zHjh1uf0zB7yFDhhD8BgAgESgVqgbAVT+sVatWNmHCBLfaW3XElMVFwe5OnTq51eAqazJ16lT3SPAbAIDERckSAABCQ+R63VfTv/7mm29s/fr18XhWAK4GAXAgzBrtkydPutpjFSpUcGnPn376aVd7TDXF1GnXynDNONeXf9pzL/hN7TEAABJW5ARNBQoUcLXE1EZrwprcdddd1q9fP1dbLFOmTJY1a1a3ElwryAAAQOKhZAkAAKFXPnTx4sU2ceJEe+GFF2zp0qWXjLH7819Epj567969XeYXAIGVMsA/H0AC8xptpUVV8Fp1u5VW7e2333YrybSCTLVERQPnarD9062p0R4+fLj7Iu05AACJ1+Het2+f60Tnzp3b2rdv77bPmzfPPaqMiWhCm1KjP/HEE77gN6nXAABIPLfffru1bNnSV7JE/e7UqVO7kiVKde6VLLnllltcyZK2bdtGWbLEa/8BAEBgeG2xxsEXLVpkJUqUsMyZM9uTTz5pTz31lGvPVU7UX+QMqio9OmjQIKtUqVJAfgcA/8PdNRAG/vzzTxs/frx9/PHHVqZMGcuTJ49b0a3VZF7w+9SpUy5t6nXXXed73d69e+3bb7+l5jcAAIlAHWevwz1u3DgX1G7YsKFLn5YtWzbXZjdv3twFwceMGRMhaJ4hQwY38O6fwQUAACQ8SpYAABA6PvvsMzeGrkC2VoDfeeedbnv58uXtn3/+iZC1LaryoYMHD/a9BkBgsQIcCDFRrfq69tprXSOtlOeaba5ZaJqJrlSqGizX7PRly5bZ0aNHrUOHDr7X5c2b181Qz5EjRwB+EwAAwovXfqujrXSqL730kmvXK1asaOfPn3dBcNX8FgXBjx8/7tKgp0z5v1t6/ywuAAAg8fre/iVLNLm8e/furmSJvho3buxWklGyBACA4M3CJn/99ZfL2nL99de7tlvpzDU+XqpUKde29+jRw2Viiyr4TflQILgQAAdCTFSrvjQw3qVLF7vvvvts7ty51qJFC5s0aZIbWJ8/f75lzJjRihQpYpMnT3bHavWYGn69F8FvAAASz7Zt2+y7776zKVOmuA63Ot/qdCvgrRTnCoDr68SJE7Z7927SnQMAEACULAEAIDR4we/9+/e78mPHjh1z/e1PP/3U+vbt68qHtmrVyrZv325btmyxHTt2uAC4NwavkievvvoqwW8gCBEAB0JE//79rV69em6GmniB7dtuu82tBsuXL5+rTaZB9SZNmrg0baNHj3Z1v1W7xKtfohVm/ivJAABA4lGbrY73rl277ODBgzZ27FjXsc6fP7/rhCswPmPGDHv88cddW6591PwGACBwJUu+/PJLN2Ht5Zdftjp16vjKjGnyuY579tlnI5QsEU06J2sLAADBQcFuZVdbvny5m4iuNlzfd+3a1deua0K6+uD+i8XWrl3rUp6PHDnSGjRoEMDfAEBUiHIBIeCPP/6ws2fPWtWqVd1zzVR77bXXLFWqVG6gXDPVSpcu7RrsBx54wB588EE3U02UTtW/I0/wGwCAwKRaUzusCWtqz1WuRPXFWrdu7Sa4VatWzWVqWb16tTvW63QT/AYAIHFRsgQAgNBStGhRV0J06dKlrmzJ4sWLbeHChW7f5s2b3aQ1TXTLnDmz3XTTTb7XFS5c2GVrU3p0AMEn2UWNmgFIshT4Vg3vc+fOuYD3nDlzLGfOnFa9enX7+eefXQB869atbkC9ffv29tlnn7nXaXaaZq4BAIDABr8/+eQTN5lNzzt27GgHDhxwX9dcc41dd911vuMfe+wxl5JNdcUAAEBgS5Zoovnzzz/vK1myYsWKCCVLKlWqZCNGjHAlSyZMmBBluTIAAJC4vDF0f2fOnLHOnTu7cfbp06e7bd26dbNffvnFtfFaWKb2/a233nKvJZMLkDQQAAeSsD179rgO9sMPP2zp06e3kydPulXeaojV4a5bt647TrPX1GArZarSouu4jz/+2AoUKBDoXwEAgLCmWeQKgGu2uWaSP/XUU77O+M6dO+399993A+a//fabHTp0yLX72s/KbwAAAkdtdJs2bax3796WJk2aS0qWqJ1W/1ttNyVLAAAIvNmzZ7ta3h71scuWLet7rvreGld/7rnnrEWLFm7bpk2b3OR0ZVAtU6aMm7RO+VAg6SAFOpCEHT161D7//HNXK1SNb8OGDd2qsFdeecWmTZvmAt2NGjVygXB96XsdrwZdA+0AACBwVFdswYIFNnXqVJcyTR3r33//3VauXGm33XabC3QfOXLE1QMvXry4vf76665UCR1uAAASDyVLAABI+sFvZUVt2bKlS2eu7/v37+8yrnXv3t1NYCtRooQbP9ciMo2xa4Kb+un+6c11T0D5UCDpYAU4kISp0VXqFQ2IHz582N588023ekwNtYLg2q/aoXfddZfvNf6D5qRrAQAgcMaNG+cmqymF6tq1a23WrFn27bffurZaXwqOa8Ka/2pvgt8AACQeSpYAAJD0adw8S5YsLvitcfNy5crZV199Ze+++64ra6Ja3o888oibgD5gwACXia1YsWJkXgOSuP8rPAggSdFAuNcRV0pzDYYXLFjQ5s+fb3///bdVqFDBevTo4fbPnDnTV/db/GepqdEHAACJ03ZHVXvsjTfecPVD27VrZ8ePH3d1xxQIz5Qpk61atcod5wW/9R7MNgcAIPGoT+2VLNHXd99959pvyZcvn91www2uX60J6Kr3rcFzZXTR4LnXdgMAgMBSORK11+pjKw36hAkT3Gpv9cc1IV3BbpUTXbNmjZ0+fdpladOj1xcHkDSRAh1IYrzAt9cAV6xY0aVQ/eabb9yA+eDBg61fv36+IPjIkSPt1VdfdbPcqlevHujTBwAgrFePaVBcbXjOnDmtS5cuLuj9xx9/uIHyBg0auIltx44dc+121qxZI7wPnW8AABIfJUsAAEia/LOpSYECBezRRx+1Dz74wAW4lf5cmVP11bhxY1u0aJHrh2sleNq0aQN67gDijhToQBIdQFfq89WrV9uZM2esbdu2Lritut+ffPKJlSxZ0l544QU3iK60LloZ3rdvX1Z8AwAQwLZbs8zVTuu5SpZowprXKVcHWyvK1K4PHTrUDh486NKuka0FAIDAomQJAABJuy++b98+FwjPkSOH/fvvv66M6Lx586xZs2bWtWvXCK85deqUC36rLx45gA4gaWEFOJCEeI326NGjbc6cOXbfffe5lOcaMFej3L59e0uVKpXb98wzz9jRo0etQ4cOLhgu1PwGACAwbffw4cNd+6zZ5gp2a3KaOtdqo1XKZMaMGS79mlKvpU+f3mV1UdtO2w0AQOKJaqDbK1miDC0ffvih1apVy5UsqVq1quuDK52qBtApWQIAQPC0515fXBPZvvzyS/vrr79cOZM6derY/fff78vyouOeffZZ91x99AwZMrjv6YsDSR8BcCCJ2bx5s0vHoga7Ro0aETroGzdudB3w1KlTu5ToasBr167tey2ryAAASHxqk5csWeLqiKlEib6fOXOma8+14lvlS9ThLlOmjOXOnduuv/5612YrME7NbwAAEgclSwAACA3eWPmoUaNs9uzZ9tJLL7kxdJUSVT87W7Zsrua3aCW4SpMpQ5t//5txdCDpIwAOJLEZ6IcOHXKrvosXLx7huL1797q6JX369LHWrVtb06ZN3QoyvZYBdAAAAmf79u2ujpiC35qs9u6777pMLZqoNnLkSDfDvFu3bnbnnXf6XqPZ5gS/AQAIjpIlzz//vK9kiQbJDx8+7EqWaHC8Zs2afEwAAASZbdu22XfffWdTpkxxk8y1AlyT0BXwVopzBcD1deLECdu9ezfpzoEQRAAcSCKdcK0QS5MmjeXMmdOlOVcD7p9mTau+FehWzVDx0rWok84AOgAAgUudmi5dOitUqJCbrLZw4UIrUaKEPfDAA66TrQD4W2+95dKqaiDdw2xzAAASDyVLAAAILepT79+/33bt2uXGy8eOHev66vnz53dBbwXGVYrs8ccft+zZs7t91PwGQgsBcCAJBL/ff/99+/HHHy1PnjyuTolWf2tGutK13Hrrre6YTJkyubSpWvXtL/IgPAAASPi2+/Tp025iWsaMGa1Ro0ZWpUoVN5lt2bJl1rVrVxcU1zHVq1d3s841Ix0AAAQOJUsAAEj6fXFRIDtfvnxWtWpVGzRokP3zzz8uY2q9evWsWrVqNnnyZFu9erU7NkeOHL7XMI4OhBYC4ECQ8hpt1fpWrZIbb7zRBb337Nljt912m82ZM8def/11W7VqlZUrV84FyU+ePBkhfSoAAEgc6ix7bbc602vXrrUtW7ZYrVq1XCe7Ro0atnz5cpc2VR1xpTifOHGiS712ww03uI62trHyGwCAwKBkCQAASTv4rbHzP/74wz3v2LGjm3zepk0bu+aaa+y6667zHf/DDz+4hWT+CH4DoYcAOBDEVCNUqVL1WLp0aRcIf/HFF11K87Zt27o6okuXLnUz1tRoKyCugXMG0AEACEyHe9KkSTZ9+nR77LHHrHDhwvbLL7/Yt99+6zreqiOqmqFPP/20O1alTebOnes62noPgt8AACQOSpYAABB6i8gUAL/22mtd31s0+VxfO3futFdeecX1vX/77Tc7dOiQ67sLK7+B0EUAHAhi69evt+bNm7vgt1aSKQDevXt3F+g+deqUtW/f3nr27OkaetUFVyOudKvU/AYAIPE73Nu2bXOzzTVZ7a677vK15arxrdXeSnf+9ttvu9nmarc1E11tNm03AACJh5IlAACEFk0sX7BggU2dOtVKlSplBw4csN9//91WrlzpMqmq/33kyBFXD1ylRTW2Tl8cCH0EwIEgpbqgGjRXSnOlS50/f75Ln/roo4+6et8aXN+xY4d16NDBGjZs6JuxRvAbAIDE9+eff7qgtzrWderU8W1XmZL777/fnn32WVuxYoWrB+5f71tZW2i7AQBIHJQsAQAg9Ozdu9caN27sgt9aRDZr1iyXiU2TzcePH++C40OHDo2w2puJ6EDo+7/lKgCCjmqCDho0yKpVq2Y///yzC3bfcsstvuC4aoJrgN2/5je1SgAACIyCBQvajBkz7Ny5c7Zp0yaXqcWjGt9Zs2Z1M9AjI+05AACJt/Lb6zMr7ekbb7zh+tX169e3LVu2WP/+/e3TTz+1MmXK+EqWaHLbX3/9ZaNGjaJkCQAAQUBB7MjUD1e7/vzzz1u7du3cYrLOnTu7QLgWkq1atcod590HsIgMCA+sAAeCmFaIqWFW463VYapfok77d999ZzVr1nSrv4Wa3wAABJ4mrU2bNs06duzo0qrVq1fP1flW51tp0hUkBwAAgUHJEgAAQqeMidKca9w8Z86c1qVLF9fvVkmyAQMGWIMGDSxjxox27Ngxy5Ili5uQ7o9FZEB4SHYxqikzAILKO++8Yy+//LK1atXKNm7c6BrvefPmuaC4f+oWAAAQeMuWLbNOnTq5VWMFChSw3377zfbs2ePabqVIBwAAgStZohXfao+HDx8eIaPaunXrXMmS7t27u5Il/ph0DgBA8AS/J0yYYJ988ol7rgVj/fr1c9s1Tq5a31oRfubMGZf2/ODBg/b++++TfQ0IQ6RAB5IADaC3adPGpWXTQPrcuXNd8FudcILfAAAEl1q1atnrr7/u6ox98803Vr58efe9BttVZwwAAAQGJUsAAEiavOC3JrCp/FiTJk1cudCFCxfawIED3T71t7Wvbt26LgX6v//+69Kgq/SYxtEBhBdSoANJQLZs2axXr15u9pq3ckwNuoLgAAAg+Nx88802ffp0e+yxx9wqMq8Np+0GACCwKFkCAEDSpAnmS5YssalTp1qFChXc9zNnzrRFixa5Fd+DBw922VzKlCljuXPnduVFFfxmHB0IT0TPgCTEC34rnQsD6AAABLfq1avbxIkT7cknn7TTp09b69atLVOmTIE+LQAAwp5WjCl9qkqWaDDdK1miCWuNGzcO++sDAEAw2r59u6vnreC3yoS+++679swzz7jV4SNHjrQMGTJYt27dIpQ40cpvxtGB8EQKdCAJIu05AABJQ82aNW3MmDEuDRsp1wAACB6ULAEAIHhpAVhk6dKls0KFCtnevXtd6vMSJUrYAw884Prd8tZbb1n//v0jvEYrwAGEJwLgAAAAQAKqU6eOffnll5YlSxauMwAAQViyZPPmzZYxY0a3AlxYKQYAQOD8999/vgVgyqZ2/Phx973Ki3Xs2NGlO1+2bJkra6KguI5RBjalQ3/ppZf46AA4pEAHAAAAElj69Om5xgAABCFKlgAAEFwrv5XSXCZPnmxr1661LVu2uMwt9erVsxo1atjy5ctdUDxfvnwu05pKj6VNm9ZuuOEGFzjXNlZ+A0h2MapcEgAAAAAAAECYULaW5557zj7//HOytgAAEKCV317we9KkSS5Ly2OPPWYHDx60X375xT127drVbrrpJrvtttssb9687tg0adLY3LlzLVWqVBHeA0B4IwAOAAAAAACAsHfy5EmytgAAEGDbtm1zq7oV5L7rrrvctvXr17sa3xs3bnSPf/75p/3www8u6N2mTRtXvuT8+fOUMQHgQwp0AAAAAAAAhD1KlgAAEFgKbCvorcB2nTp1fNvLlStn999/vz377LO2YsUKVw/8+uuv9+1X2nMFwQHAQy4IAAAAAAAAAAAABFTBggVtxowZdu7cOdu0aZOdOnXKt081vrNmzWq///77Ja+j5jeAyAiAAwAAAAAAAAAAIOCqVatm06ZNc19Lly61M2fOuO3Hjx939b0VJAeAy6EGOAAAAAAAAAAAAILGsmXLrFOnTi4leoECBey3336zPXv22Lx581yKdACICQFwAAAAAAAAAAA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|
||
"text/plain": [
|
||
"<Figure size 2000x4000 with 32 Axes>"
|
||
]
|
||
},
|
||
"metadata": {},
|
||
"output_type": "display_data"
|
||
}
|
||
],
|
||
"source": [
|
||
"# Создание subplot в несколько строк\n",
|
||
"numeric_cols = df.select_dtypes(include=['number']).columns\n",
|
||
"n_cols = len(numeric_cols)\n",
|
||
"\n",
|
||
"# Задаем количество столбцов в сетке\n",
|
||
"cols_per_row = 4 # по 4 графика в строке\n",
|
||
"n_rows = math.ceil(n_cols / cols_per_row)\n",
|
||
"\n",
|
||
"fig, axes = plt.subplots(nrows=n_rows, ncols=cols_per_row, figsize=(20, 5*n_rows))\n",
|
||
"fig.suptitle('Boxplot всех числовых полей', fontsize=16)\n",
|
||
"\n",
|
||
"# Сглаживаем axes в 1D массив для удобного итерирования\n",
|
||
"axes_flat = axes.flatten()\n",
|
||
"\n",
|
||
"for i, col in enumerate(numeric_cols):\n",
|
||
" if i < len(axes_flat):\n",
|
||
" df.boxplot(column=col, ax=axes_flat[i])\n",
|
||
" axes_flat[i].set_title(col, fontsize=12)\n",
|
||
" axes_flat[i].tick_params(axis='x', rotation=45)\n",
|
||
"\n",
|
||
"# Скрываем пустые subplots\n",
|
||
"for i in range(len(numeric_cols), len(axes_flat)):\n",
|
||
" axes_flat[i].set_visible(False)\n",
|
||
"\n",
|
||
"plt.tight_layout()\n",
|
||
"plt.subplots_adjust(top=0.95) # Добавляем место для заголовка\n",
|
||
"plt.show()"
|
||
]
|
||
},
|
||
{
|
||
"cell_type": "markdown",
|
||
"id": "33d8e762-c154-4ece-9558-e63a99b8dafa",
|
||
"metadata": {},
|
||
"source": [
|
||
"смотря на эти графики хочется плакать, но ничего, попробуем посчитать сколько конкретно у нас ненулевых значений (т.е. заказов)"
|
||
]
|
||
},
|
||
{
|
||
"cell_type": "code",
|
||
"execution_count": null,
|
||
"id": "c18449d9-7591-4b2c-a29f-d21f02b4a2ea",
|
||
"metadata": {},
|
||
"outputs": [],
|
||
"source": [
|
||
"fix, axes = plt.subplot"
|
||
]
|
||
},
|
||
{
|
||
"cell_type": "code",
|
||
"execution_count": 34,
|
||
"id": "43834078-3bb1-48a6-8fc8-8a0a01b41f75",
|
||
"metadata": {},
|
||
"outputs": [
|
||
{
|
||
"data": {
|
||
"image/png": 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|
||
"text/plain": [
|
||
"<Figure size 1800x1000 with 6 Axes>"
|
||
]
|
||
},
|
||
"metadata": {},
|
||
"output_type": "display_data"
|
||
}
|
||
],
|
||
"source": [
|
||
"\n",
|
||
"fieldsToCount = [\"orders_amt_ent\", \"orders_amt_super\", \"orders_amt_transport\", \"orders_amt_shopping\", \"orders_amt_hotel\", \"orders_amt_avia\"]\n",
|
||
"\n",
|
||
"def countsOfOrdersByCategories():\n",
|
||
" rowsWithOrdersCount = {}\n",
|
||
" for field in fieldsToCount:\n",
|
||
" rowsWithOrdersCount.update({field: df[[\"id\", field]].groupby(field).count() })\n",
|
||
" \n",
|
||
" fig, axes = plt.subplots(2, 3, figsize=(18, 10))\n",
|
||
" fig.suptitle('Распределение количества заказов по категориям', fontsize=16, y=1.02)\n",
|
||
" \n",
|
||
" axes = axes.flatten()\n",
|
||
" \n",
|
||
" colors = plt.cm.Set3(np.linspace(0, 1, len(fieldsToCount)))\n",
|
||
" \n",
|
||
" for idx, (field, data) in enumerate(rowsWithOrdersCount.items()):\n",
|
||
" ax = axes[idx]\n",
|
||
" \n",
|
||
" # Подготовка данных\n",
|
||
" plot_data = data.reset_index()\n",
|
||
" plot_data.columns = ['Количество заказов', 'Количество клиентов']\n",
|
||
" \n",
|
||
" # Создание столбчатой диаграммы\n",
|
||
" x_pos = np.arange(len(plot_data))\n",
|
||
" bars = ax.bar(x_pos, \n",
|
||
" plot_data['Количество клиентов'], \n",
|
||
" color=colors[idx],\n",
|
||
" edgecolor='black',\n",
|
||
" linewidth=0.5)\n",
|
||
" \n",
|
||
" # Настройка осей\n",
|
||
" ax.set_title(field.replace('orders_amt_', '').upper(), fontsize=12, fontweight='bold')\n",
|
||
" ax.set_xlabel('Количество заказов', fontsize=10)\n",
|
||
" ax.set_ylabel('Количество клиентов', fontsize=10)\n",
|
||
" ax.set_xticks(x_pos)\n",
|
||
" ax.set_xticklabels(plot_data['Количество заказов'].astype(str))\n",
|
||
" \n",
|
||
" # Сетка\n",
|
||
" ax.grid(True, alpha=0.3, linestyle='--', which='both')\n",
|
||
" \n",
|
||
" # Добавление значений над столбцами\n",
|
||
" for bar in bars:\n",
|
||
" height = bar.get_height()\n",
|
||
" ax.text(bar.get_x() + bar.get_width()/2., height + 0.1,\n",
|
||
" f'{int(height)}', ha='center', va='bottom', fontsize=9)\n",
|
||
" \n",
|
||
" plt.tight_layout()\n",
|
||
" plt.show()\n",
|
||
"\n",
|
||
"countsOfOrdersByCategories()"
|
||
]
|
||
},
|
||
{
|
||
"cell_type": "markdown",
|
||
"id": "7c9aaf2b-56ec-4496-a8bc-0d6843f3542d",
|
||
"metadata": {},
|
||
"source": [
|
||
"Большая часть записей содержит не более 1 заказа в день, также реклама влияет на то закажет ли что-то человек в сервисе, а не на то сколько заказов он сделает. Поэтому будем считать все заказы в 1 день как 1."
|
||
]
|
||
},
|
||
{
|
||
"cell_type": "code",
|
||
"execution_count": null,
|
||
"id": "58b037ac-7567-4799-bd6b-5d3e67e690cc",
|
||
"metadata": {},
|
||
"outputs": [],
|
||
"source": []
|
||
},
|
||
{
|
||
"cell_type": "code",
|
||
"execution_count": 35,
|
||
"id": "cf341e30-8d11-4aed-8e95-7f5d0ed5c0c3",
|
||
"metadata": {},
|
||
"outputs": [
|
||
{
|
||
"data": {
|
||
"image/png": 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|
||
"text/plain": [
|
||
"<Figure size 1800x1000 with 6 Axes>"
|
||
]
|
||
},
|
||
"metadata": {},
|
||
"output_type": "display_data"
|
||
}
|
||
],
|
||
"source": [
|
||
"for field in fieldsToCount:\n",
|
||
" df.loc[df[field] > 0, field] = 1\n",
|
||
"\n",
|
||
"countsOfOrdersByCategories()"
|
||
]
|
||
},
|
||
{
|
||
"cell_type": "code",
|
||
"execution_count": 36,
|
||
"id": "780634e5",
|
||
"metadata": {
|
||
"ExecuteTime": {
|
||
"end_time": "2025-12-05T18:56:36.258317Z",
|
||
"start_time": "2025-12-05T18:56:36.251836Z"
|
||
}
|
||
},
|
||
"outputs": [
|
||
{
|
||
"name": "stdout",
|
||
"output_type": "stream",
|
||
"text": [
|
||
"count 118,189.000\n",
|
||
"mean 42.360\n",
|
||
"std 9.930\n",
|
||
"min 15.000\n",
|
||
"1% 22.000\n",
|
||
"25% 36.000\n",
|
||
"50% 41.000\n",
|
||
"75% 48.000\n",
|
||
"99% 68.000\n",
|
||
"max 80.000\n",
|
||
"Name: age, dtype: float64\n",
|
||
"Outlier share: 0.0\n"
|
||
]
|
||
}
|
||
],
|
||
"source": [
|
||
"age_check = df['age'].describe(percentiles=[0.01, 0.25, 0.5, 0.75, 0.99])\n",
|
||
"age_outliers = df[(df['age'] < 14) | (df['age'] > 100)]\n",
|
||
"print(age_check)\n",
|
||
"print('Outlier share:', len(age_outliers) / len(df))"
|
||
]
|
||
},
|
||
{
|
||
"cell_type": "code",
|
||
"execution_count": 37,
|
||
"id": "cdcc7d3c",
|
||
"metadata": {
|
||
"ExecuteTime": {
|
||
"end_time": "2025-12-05T18:56:36.280304Z",
|
||
"start_time": "2025-12-05T18:56:36.275178Z"
|
||
}
|
||
},
|
||
"outputs": [
|
||
{
|
||
"data": {
|
||
"text/plain": [
|
||
"{'gender_cd': gender_cd\n",
|
||
" M 81030\n",
|
||
" F 37159\n",
|
||
" Name: count, dtype: int64,\n",
|
||
" 'device_platform_cd': device_platform_cd\n",
|
||
" Android 55232\n",
|
||
" iOS 47637\n",
|
||
" IOS 14042\n",
|
||
" iPadOS 1278\n",
|
||
" Name: count, dtype: int64}"
|
||
]
|
||
},
|
||
"execution_count": 37,
|
||
"metadata": {},
|
||
"output_type": "execute_result"
|
||
}
|
||
],
|
||
"source": [
|
||
"categoricals = {col: df[col].value_counts(dropna=False) for col in CAT_COLS}\n",
|
||
"categoricals"
|
||
]
|
||
},
|
||
{
|
||
"cell_type": "code",
|
||
"execution_count": 38,
|
||
"id": "34341432",
|
||
"metadata": {
|
||
"ExecuteTime": {
|
||
"end_time": "2025-12-05T18:56:36.414766Z",
|
||
"start_time": "2025-12-05T18:56:36.317343Z"
|
||
}
|
||
},
|
||
"outputs": [
|
||
{
|
||
"data": {
|
||
"image/png": 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",
|
||
"text/plain": [
|
||
"<Figure size 1200x400 with 1 Axes>"
|
||
]
|
||
},
|
||
"metadata": {},
|
||
"output_type": "display_data"
|
||
}
|
||
],
|
||
"source": [
|
||
"cnt_by_date = df.groupby('business_dt').size().reset_index(name='n_records')\n",
|
||
"fig, ax = plt.subplots(figsize=(12, 4))\n",
|
||
"sns.lineplot(data=cnt_by_date, x='business_dt', y='n_records', ax=ax)\n",
|
||
"ax.set_title('Количество записей по датам')\n",
|
||
"ax.set_ylabel('N')\n",
|
||
"plt.xticks(rotation=45)\n",
|
||
"plt.tight_layout()"
|
||
]
|
||
},
|
||
{
|
||
"cell_type": "code",
|
||
"execution_count": 43,
|
||
"id": "5e909c0c",
|
||
"metadata": {
|
||
"ExecuteTime": {
|
||
"end_time": "2025-12-05T18:56:36.596471Z",
|
||
"start_time": "2025-12-05T18:56:36.421563Z"
|
||
}
|
||
},
|
||
"outputs": [
|
||
{
|
||
"data": {
|
||
"image/png": 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",
|
||
"text/plain": [
|
||
"<Figure size 1000x400 with 1 Axes>"
|
||
]
|
||
},
|
||
"metadata": {},
|
||
"output_type": "display_data"
|
||
}
|
||
],
|
||
"source": [
|
||
"fig, axes = plt.subplots(1, 1, figsize=(10, 4))\n",
|
||
"sns.boxplot(data=df, y='age')\n",
|
||
"axes.set_title('Возраст (boxplot)')\n",
|
||
"plt.tight_layout()"
|
||
]
|
||
},
|
||
{
|
||
"cell_type": "code",
|
||
"execution_count": 35,
|
||
"id": "bd9437d0",
|
||
"metadata": {
|
||
"ExecuteTime": {
|
||
"end_time": "2025-12-05T18:56:36.607880Z",
|
||
"start_time": "2025-12-05T18:56:36.605964Z"
|
||
}
|
||
},
|
||
"outputs": [],
|
||
"source": [
|
||
"SAVE_CLEANED = True\n",
|
||
"if SAVE_CLEANED:\n",
|
||
" df.to_parquet('dataset/ds_clean.parquet', index=False)\n",
|
||
" print('Saved dataset/ds_clean.parquet')"
|
||
]
|
||
},
|
||
{
|
||
"cell_type": "code",
|
||
"execution_count": null,
|
||
"id": "5b9e3d6a-9624-4a11-9984-de5b1a44b04d",
|
||
"metadata": {},
|
||
"outputs": [],
|
||
"source": []
|
||
}
|
||
],
|
||
"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": "3.13.5"
|
||
}
|
||
},
|
||
"nbformat": 4,
|
||
"nbformat_minor": 5
|
||
}
|