dano2025/preanalysis/first_stage.ipynb

{
 "cells": [
  {
   "cell_type": "markdown",
   "id": "9329c5bc",
   "metadata": {},
   "source": [
    "# 01. Загрузка, структура и первичная чистка\n",
    "\n",
    "Цели: понять схему данных, проверить пропуски/аномалии, стандартизировать категориальные признаки и подготовить базовые фичи (totals, CTR/CR, флаги)."
   ]
  },
  {
   "cell_type": "markdown",
   "id": "cbd05b8a-4af7-4063-82a6-bef7252de4fb",
   "metadata": {},
   "source": [
    "# Инициализация"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 25,
   "id": "b6213601-48d0-447e-8468-c3fbd63e2361",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Collecting fastparquet\n",
      "  Downloading fastparquet-2024.11.0-cp313-cp313-macosx_11_0_arm64.whl.metadata (4.2 kB)\n",
      "Requirement already satisfied: pandas>=1.5.0 in /opt/homebrew/Cellar/jupyterlab/4.4.3_2/libexec/lib/python3.13/site-packages (from fastparquet) (2.3.3)\n",
      "Requirement already satisfied: numpy in /opt/homebrew/lib/python3.13/site-packages (from fastparquet) (2.3.4)\n",
      "Collecting cramjam>=2.3 (from fastparquet)\n",
      "  Downloading cramjam-2.11.0-cp313-cp313-macosx_11_0_arm64.whl.metadata (5.6 kB)\n",
      "Collecting fsspec (from fastparquet)\n",
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      "Installing collected packages: fsspec, cramjam, fastparquet\n",
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      "\u001B[1A\u001B[2KSuccessfully installed cramjam-2.11.0 fastparquet-2024.11.0 fsspec-2025.12.0\n",
      "Note: you may need to restart the kernel to use updated packages.\n"
     ]
    }
   ],
   "source": [
    "\n",
    "import pandas as pd\n",
    "import numpy as np\n",
    "import seaborn as sns\n",
    "import math\n",
    "import matplotlib.pyplot as plt\n",
    "from pathlib import Path\n",
    "from eda_utils import (\n",
    "    load_data, DATA_PATH, CATEGORIES, ACTIVE_IMP_COLS, PASSIVE_IMP_COLS,\n",
    "    ACTIVE_CLICK_COLS, PASSIVE_CLICK_COLS, ORDER_COLS, NUMERIC_COLS, CAT_COLS,\n",
    "    describe_zero_share, safe_divide, build_daily, build_client, add_contact_density\n",
    ")\n",
    "pd.set_option(\"display.max_columns\", None)\n",
    "pd.options.display.float_format = '{:,.3f}'.format\n",
    "sns.set_theme(style=\"ticks\", palette=\"deep\")\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "id": "d95e51be",
   "metadata": {
    "ExecuteTime": {
     "end_time": "2025-12-05T18:56:34.945440Z",
     "start_time": "2025-12-05T18:56:34.939453Z"
    }
   },
   "outputs": [],
   "source": [
    "df = pd.read_csv(\"../dataset/ds.csv\")\n",
    "print(f'Raw shape: {df.shape}')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "id": "314922b8",
   "metadata": {
    "ExecuteTime": {
     "end_time": "2025-12-05T18:56:35.382790Z",
     "start_time": "2025-12-05T18:56:34.963314Z"
    }
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Raw shape: (118189, 35)\n"
     ]
    }
   ],
   "source": [
    "import io\n",
    "buf = io.StringIO()\n",
    "df.info(buf=buf)\n",
    "print('Raw info:\\n', buf.getvalue())"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "id": "c7980291",
   "metadata": {
    "ExecuteTime": {
     "end_time": "2025-12-05T18:56:35.431410Z",
     "start_time": "2025-12-05T18:56:35.400332Z"
    }
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Raw info:\n",
      " <class 'pandas.core.frame.DataFrame'>\n",
      "RangeIndex: 118189 entries, 0 to 118188\n",
      "Data columns (total 35 columns):\n",
      " #   Column                   Non-Null Count   Dtype  \n",
      "---  ------                   --------------   -----  \n",
      " 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",
      " 16  passive_imp_super        118189 non-null  float64\n",
      " 17  passive_click_super      118189 non-null  float64\n",
      " 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",
      "dtypes: float64(16), int64(16), object(3)\n",
      "memory usage: 31.6+ MB\n",
      "\n"
     ]
    }
   ],
   "source": "df.head(5)"
  },
  {
   "cell_type": "markdown",
   "id": "0d18c485",
   "metadata": {
    "ExecuteTime": {
     "end_time": "2025-12-05T18:56:35.449657Z",
     "start_time": "2025-12-05T18:56:35.440402Z"
    }
   },
   "source": "# Анализ"
  },
  {
   "cell_type": "code",
   "id": "b35ad277-a07b-44a2-8c7b-da5e47ef5435",
   "metadata": {},
   "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})"
   ],
   "outputs": [],
   "execution_count": null
  },
  {
   "cell_type": "markdown",
   "id": "78a7f3d2",
   "metadata": {
    "ExecuteTime": {
     "end_time": "2025-12-05T18:56:35.560093Z",
     "start_time": "2025-12-05T18:56:35.556685Z"
    }
   },
   "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",
   "id": "f691bec5-e203-4bcc-8645-333178708a66",
   "metadata": {},
   "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()"
   ],
   "outputs": [],
   "execution_count": null
  },
  {
   "cell_type": "markdown",
   "id": "a40091f6",
   "metadata": {
    "ExecuteTime": {
     "end_time": "2025-12-05T18:56:35.623796Z",
     "start_time": "2025-12-05T18:56:35.602181Z"
    }
   },
   "source": "Датасет не содержит дублирования по паре id + дата"
  },
  {
   "cell_type": "code",
   "id": "c1c33a2f-6ad9-476a-9b62-ba5511189527",
   "metadata": {},
   "source": "df.groupby('id').size().describe()",
   "outputs": [],
   "execution_count": null
  },
  {
   "cell_type": "markdown",
   "id": "43cbdc8a",
   "metadata": {
    "ExecuteTime": {
     "end_time": "2025-12-05T18:56:35.687689Z",
     "start_time": "2025-12-05T18:56:35.680252Z"
    }
   },
   "source": "В среднем каждый клиент содержит по 14 записей, всего кол-во записей распределено на промежутке от 4 до 52."
  },
  {
   "cell_type": "code",
   "id": "4a0eba3c-fe71-456e-84f6-8e672c7110b5",
   "metadata": {},
   "source": "df.isna().sum().to_frame('missing')",
   "outputs": [],
   "execution_count": null
  },
  {
   "cell_type": "markdown",
   "id": "84b726d3",
   "metadata": {
    "ExecuteTime": {
     "end_time": "2025-12-05T18:56:35.797151Z",
     "start_time": "2025-12-05T18:56:35.783710Z"
    }
   },
   "source": "В датасете отсуствуют пропущенные значения"
  },
  {
   "cell_type": "code",
   "id": "16acc953-c151-43b8-b923-aab2c3a25ffb",
   "metadata": {},
   "source": "describe_zero_share(df, ACTIVE_IMP_COLS + PASSIVE_IMP_COLS + ACTIVE_CLICK_COLS + PASSIVE_CLICK_COLS + ORDER_COLS)",
   "outputs": [],
   "execution_count": null
  },
  {
   "cell_type": "markdown",
   "id": "4a5160f3-f243-478e-b793-db857eefb053",
   "metadata": {},
   "source": "Достаточно странные минимальные/максимальные значения некоторых полей, относительно средних значений, построим boxplots"
  },
  {
   "cell_type": "code",
   "id": "4a2e8f9f-e9af-4bf9-bc69-cf12979ef359",
   "metadata": {},
   "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()"
   ],
   "outputs": [],
   "execution_count": null
  },
  {
   "cell_type": "markdown",
   "id": "7c2b1102-0114-48de-a88b-f442812b70d6",
   "metadata": {},
   "source": "смотря на эти графики хочется плакать, но ничего, попробуем посчитать сколько конкретно у нас ненулевых значений (т.е. заказов)"
  },
  {
   "cell_type": "code",
   "id": "33d8e762-c154-4ece-9558-e63a99b8dafa",
   "metadata": {},
   "source": "fix, axes = plt.subplot",
   "outputs": [],
   "execution_count": null
  },
  {
   "cell_type": "code",
   "execution_count": 14,
   "id": "43834078-3bb1-48a6-8fc8-8a0a01b41f75",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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khpL8npIqes9qA/x7LySRq/NNn6uSaSpDCVklir/88ku3VKTqjU9wqR0Knucq/1//+pf9/ve/z+5BFvU3dd9tt93m2igl8cNLxCrZr8RQcNlGXdig+qU9zsLlFnLMSoj9/e9/d5/pD37wgxbHpMSMEjTBOpCPXzo2mLSqFF+3tJ9kpc4jfR5qfxR3XSgS3ltQn+P111/frB3W3q46r3Txgq97xbRfeq7axlztu5YNVkI6+Lx8tCeh6rLO8eDFIJ7aOi07GhUbnSNaRjbM14V8SV0liLWcqNpRXagQ5s+JUpK9+vuqr1rm1FPCT/U9KpkIAACA2sAefAAAADVK+89pH6RiKOmipJwGKZXU8TNWfAJPg96e39dnnXXWsbak2TBR9Hc1EKoknd6rBm0lPOMrzD9PlCAM7kNYyOuUyAoPakc9V/uXFeujjz5yt/rc8v0NzRTRwG0wCaX9wPRTLM2g0n5imqmkJK/2PGzr963PTclKJVI0eyg8c8snXvW5RvGzCCu5t1RrcVDSTTOSNDNLe2EF9/Xy9Sjqs1SiWz+5aB+24Htuq/NJM241q8ontbQHnxKKmpWnWb1BSvzdd9997jl6b37WYlQivxBKBM2ePdv9rpmMV155ZbOkp/ZZvP/++11cNatTMfGJvai2xxs9erS71ecVlTARHb9m+ioppfer86a1cvMds9pExUN7s+W6MCBf/dRegfrben9qb5VsVAIyXN8qodDzSMdRKF0Eoh/NXNSec1F0YYhm4Wp27ttvv+3ioDgH60+uuEdRgtXviRmVkMvVvrcWl3ztfq7PUIneKH5Gny87iuqQYqPPOmomsBKu1113nZvlp7ZWFwGonrW236WoPdKsb51DuuhGtBeuZqcr+ackOgAAAGoPCT4AAABkZ5toGUDN/NPsuC233NLN5tt4443dYOf+++/fLFKayVINuQY3/QCxlhAVPyNEM0jyDYgGZ8polpAEl2jLxZev5dD87Ktc/GyvYvmkhpJMinsxtHxjOAGnz9LPEMrlmmuuccu5KrkVtSxcW7xv1S8tqaqlE7V0oBIwwZmjrQ3++ziFZ2yVo7U4aEalZrYpqXHMMce4GUOKybvvvuuSGLmOUbMxcyWpxSc9KjkjM4pmLEXNPtTfVdJByWIdsz6Pp556yiW1NtlkE5foUn3UrCUlKv0srGIo4aDEiE8qKsGhJIYSpkqIKEGnpRCVMFMiddddd3V1WcmcESNGZJOlYRMnTnQJMi23qGRNeCboww8/7BJqaqt0jmupwm9961suOaU6ps+x2GMuJDHlP8uo+qljClMbVkySrVCFnkfB5WNbc/jhh7s2VHHVrEl9BsH2Vm3qIYcc4pZUVXJKn6dmkOnz1Ow7n3wqRjCeuWb1tpaACyrnM/TfN7nKzLW0pi4MmDZtmpuBq3Mpanan6uYll1xi55xzjotvMdSmKta6OESfqxKiOo+1fGh4qVQAAADUDhJ8AAAAyO5tpITQueee6/bQC4paerG15cSee+45N2itQfrgfmLFUvn+bwX5QX8/40nP0XKd2mewkEFe0VJ7el0hM/h88kqzzrSMYbEKmf3k/4aSe8X+De17ddJJJzW7T0mTfAk+zZZSck2D5n4/tkq/71x69+5tv/rVr9yMSyXONPjtB8/1mShxps9TezyG+Rlz2o8xrJRZZoXEQXReKBGmZRtfe+01tzSgZkcpoaGEZVTcNFMx/LlE8c/3M/rCdC7ps1RyRXv4FUuJBf/5KeGlBIySmlqWVOe8lg584IEHXFJAyRi9x/B56/esLJZ///q7ShBpGUEtv6m4KaGqeqrj096DqmfhmZW5KOmqfSm1RKfem5ZD9cubarlCvS+1bUpCBWdcivYmK+WYf/7zn7uEmGYCKh5Rs/jy1U8lepQEUhJG7a3KVf3X39PnG57NWg7fbvpljIs5zlx0jiphp9mNqiOagRtMrCoBrro1atQot69iMCHmZ08WS4l0xVyfhRJg5Sb2W4tLMDbhzyPX953/PgruzRek5Yg1m077ceajhPrWW2/t6pzaQLV/SrBrxp9m5+WjmXo6D/S9puNRko/lOQEAAGobe/ABAADAJQ80oNmjR48WyT3x+1X5GR/i9yHSPj9RNHCvJQH9Mp+l8vuEBb388stu6TQlO3xiRIP7uZ4vGkTXUoQ+4aVBaCUG8iV0gjSLUYlADfD6pfuCNJj64x//2MXPz5QKxivXzI8g/x40K8kvSRf0j3/8w+3vpb3FilniLhcNlivZkG+2SCnvu5hZh8OGDbNZs2bZ1KlTW8Thsccei3zdH//4xxbL9flYFxLnUuLg/ehHP7J7773X1R3NwtHvZ511Vovn+fegZQqD9SCYYFJZ559/vvu3EoVKqKleKx5Rz1fCKmoGWLH0XvW3/JKdzz77bHYZT9F5Ek7uKWHmH496P0GqKyrbv7fg3915553d737Woy9TCaFwck8x9knFXH9TCd3TTjvNPa4lCoMzyXTMqmPh5F6wTfPnUaHHrESTZjfr70UlCZWE8omYqP3iPM16U3JQ57OSwNqnTsuIVpKvg48++mjB51GhNNtbiTclhtWWBttm/3j4XPT1rJA6FKSEnpb+1Wt0PoXpM9QelT/72c/s1VdfbbU8tWc63zRjN2r/QS1H7I/VxzB4MUDUkry+LkTNctbemUq6HXXUUZEXqwQp6av2Xcm9Aw880J3vV111lZ155pmtvi+/D6CORa/T5+P3EgQAAEBtIsEHAAAA6969uxu41myZmTNnNovI448/7vYF8nt3edq7S8sqKhmhQd5gwkmzoTQ4r8H1YpeaDJs8eXI2CSBKgPj9qrR8n6cBXg0o//rXv3azB4O0r6AGPDXo72c/KaGkZdgOOOCAgo9FM45ECYUPPvgge7/iosSAlvPTAK3fv8knJzTTqxBaRlDLE2oWl2ZUBmdMaRBd92m2k2YtlrofmqelETWIrZkiufboKvV9F0OD3qp7qmNKyIg+E83O0j5w+gnSTD/NNNPjwf0W/WsLjXUpcSiGkjuq+5qxdfnllzc7d/QZakaP9rnUTEZPS1WK6ncwMa6Egl8KUTPdKsXPzPWJNb+no5L2wSV4lQjRDDPd+j3z8lE5SsRoH7Y//OEP2fv1Op+09XXF/83wTNM333yz2WynfH9TFxsosaLkjk9m+XKVKFGcPbVTag/uvvvuZuUWc8z+fNDnqs/X0yyrCy64wJ0juvhAM7Fao8SejlHCCc5yKYGshJKSWNdff32zNlqf8aRJk1ybqURSsZSc1Mw9nfeqm16uz1MXLQQTsMHzoRC+rVcZwRnlSvopAab3qAsMgksw5+M/Q51rwYSd2hHVO7W9Wt4y3CYohkroB9tmJXQ1u1MJtZ/85Cct/pbaMC3T6/9mPprFqu9ULe2r9r4Y+hua8af6q5mhmpFczPKrAAAASB6W6AQAAIBLimj2g/bYOvjgg92sBc3mU0JMg89+toNmNmhAWs9XsuHKK690A69a6k8JNCX0NLitAUrt+6NZfOXyswo1y0RJneeff94Nwmops2CCR/tqaeBViRMdk/YP04C8jl/vQwPZV1xxhVtyTTN1tFeRBj+V6AvOHvN8MuOyyy5zs/+UzFRslLjUAKqWPtMgrAZ1lVhQokhL3SkmWh5Nt36WUnB/udZoAFsJoEceecQlnvQ3lMxT4lWD6UpmFLLkY2s0UK3PVTOnWlPo+y6FZtMooaf9zbTc37HHHutmjynuWuJPSzBqjzUlwvRZahahlrpTckXHr6TM/fffn01Mazm7topDMfSZqf5rUF/vS5/npptu6s4fHauSQRqA90k9OfTQQ10iRMkXzcZRnVciRM/X67RnoV+CslhKkvsZe3rPSpRrVpH482i//fZzbYBmt2lmmY5XiQw9T39fsdUMptb2i9N5pRlHmhGpuqokvZLSqkOqL/rdJ9Z1rmrm2tVXX+2SQjpnNZtOz1U7o38rcdPa31RsVBcUc83Y22CDDdyytTrP1VYolkqgKTmk8zP8Xoo5ZpWvz+rmm292e5Mqkaf95vRcJedVn3QcUXuBqnyfnFc7plm5+ix0HuSb8VcKnSe64OGII45wSTCdJ0qAKb6qD2oTlUQqtU6p7urcVLJU9VxLI48cOdIuvfRS9z6VLNUMa/+doDZD/9b71U/U8qa5hGOuuqnkpdoDJej0XlWHCl2+UxeEKAaaxbjHHnu4+qEydK6p7dcytUq2hek7SH9T56e+J/15pLqqNkv1IMwnBVs7Np8oVFlq30pJzum4/AU5LM8JAABQ+5jBBwAAAEeD21oCUAPfStwoyaABYC21poFhDT5rtkRwCUwNFmt2gpKDmumiwXQNHmtgUTOtik22RNEMMQ3sKlmmWQnf+ta33ACyBlOjBpyVKNIgpwbatZ+YkmIawNXAqRIqfsk0Da4ryaLfo370OlHSwScBfFJTf1tJLg30KhmiGZAa2FaclIjSTEg/Y1AD0cGZK61RskwD5tpLUAPYSvho2TuVq0FiJYs0EF0JGoQvZMZboe+7VKNHj3bJFyVV/HJ/SjDpM1Nd0n0a/FZclYRS3fLL0Snpp1hrfy/NuFF9bas4FEsxUWw000mJASVsFTslo1WHFdPgMoZaDlIzrc455xyXLNFMVCUcdJ5pv8Jjjjmm5GNRkszXbcVLx6Ekhs55n/hTMk178uk80Qw+nc+analzX4kVJR1E51VrlFTT56nlJ9UmKPmmpL+Sxfr8lOzxn7Oep2SJ9kTT31TSRElHLX/qE6Ct/U0lqZTQe++991xiSZRkU+JP70szvNR+6O8qYa+ydUGCknfaT7GYY/Z1RokUxUax/POf/+yeqxmpahPVTkVR7P3noPqgc1n7+mnWc6XO6yBdEKDjUXJSbbTaM8VZbaIubIhakrlQqtNKHqod9Ql+JWxVV9VOaBamPjct46uE2oMPPmg//OEPC65DYYq5zg/NHtfnrO8itU1qEzSr1y8bXQi9TvVD56HORyXp9HloDz3N4NN5ELU3odo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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": 15,
   "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": ""
  },
  {
   "cell_type": "code",
   "execution_count": 21,
   "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": [
    "for field in fieldsToCount:\n",
    "    df.loc[df[field] > 0, field] = 1\n",
    "\n",
    "countsOfOrdersByCategories()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 22,
   "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": [
    "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": 23,
   "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": [
    "categoricals = {col: df[col].value_counts(dropna=False) for col in CAT_COLS}\n",
    "categoricals"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 27,
   "id": "bd9437d0",
   "metadata": {
    "ExecuteTime": {
     "end_time": "2025-12-05T18:56:36.607880Z",
     "start_time": "2025-12-05T18:56:36.605964Z"
    }
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Saved dataset/ds_clean.parquet\n"
     ]
    }
   ],
   "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": null,
   "id": "5b9e3d6a-9624-4a11-9984-de5b1a44b04d",
   "metadata": {},
   "outputs": [],
   "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()"
   ]
  },
  {
   "metadata": {},
   "cell_type": "code",
   "outputs": [],
   "execution_count": null,
   "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')"
   ],
   "id": "89d49461c63a71bf"
  },
  {
   "metadata": {},
   "cell_type": "code",
   "outputs": [],
   "execution_count": null,
   "source": "",
   "id": "283fc5c684b10f2d"
  }
 ],
 "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
}