2. pySpark. EDA.ipynb

{
 "cells": [
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# Импорт библиотек"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 1,
   "metadata": {
    "ExecuteTime": {
     "end_time": "2020-09-09T15:31:40.883690Z",
     "start_time": "2020-09-09T15:31:35.900633Z"
    }
   },
   "outputs": [],
   "source": [
    "import seaborn as sns\n",
    "import matplotlib.pyplot as plt\n",
    "\n",
    "import findspark\n",
    "findspark.init()\n",
    "\n",
    "import pyspark\n",
    "from pyspark.sql import SQLContext\n",
    "import pyspark.sql.functions as f\n",
    "\n",
    "from tqdm.notebook import tqdm\n",
    "from pyspark.ml.stat import Correlation\n",
    "from pyspark.ml.feature import VectorAssembler\n",
    "from pyspark.ml.linalg import Vectors\n",
    "from pyspark.ml.stat import Correlation\n",
    "\n",
    "sc = pyspark.SparkContext(appName='myAppName')\n",
    "sqlContext = SQLContext(sc)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# Загрузка данных"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "metadata": {
    "ExecuteTime": {
     "end_time": "2020-09-09T15:31:50.510162Z",
     "start_time": "2020-09-09T15:31:44.813147Z"
    }
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "shape: 30787847, 110\n"
     ]
    },
    {
     "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>instanceId_userId</th>\n",
       "      <th>instanceId_objectType</th>\n",
       "      <th>instanceId_objectId</th>\n",
       "      <th>audit_pos</th>\n",
       "      <th>audit_clientType</th>\n",
       "      <th>audit_timestamp</th>\n",
       "      <th>audit_timePassed</th>\n",
       "      <th>audit_resourceType</th>\n",
       "      <th>metadata_ownerId</th>\n",
       "      <th>metadata_ownerType</th>\n",
       "      <th>...</th>\n",
       "      <th>auditweights_userOwner_USER_PROFILE_VIEW</th>\n",
       "      <th>auditweights_userOwner_VIDEO</th>\n",
       "      <th>auditweights_x_ActorsRelations</th>\n",
       "      <th>auditweights_svd</th>\n",
       "      <th>ImageId</th>\n",
       "      <th>auditweights_likersSvd_hyper</th>\n",
       "      <th>date</th>\n",
       "      <th>liked</th>\n",
       "      <th>hour</th>\n",
       "      <th>dow</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>527</td>\n",
       "      <td>Post</td>\n",
       "      <td>37392482</td>\n",
       "      <td>1</td>\n",
       "      <td>API</td>\n",
       "      <td>1520155645869</td>\n",
       "      <td>11136024</td>\n",
       "      <td>8</td>\n",
       "      <td>19464</td>\n",
       "      <td>GROUP_OPEN_OFFICIAL</td>\n",
       "      <td>...</td>\n",
       "      <td>None</td>\n",
       "      <td>None</td>\n",
       "      <td>None</td>\n",
       "      <td>0.971861</td>\n",
       "      <td>[c9aa648da68a59770d457a77e7498fa8]</td>\n",
       "      <td>0.404382</td>\n",
       "      <td>2018-03-04</td>\n",
       "      <td>0</td>\n",
       "      <td>12</td>\n",
       "      <td>7</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>572</td>\n",
       "      <td>Post</td>\n",
       "      <td>38438574</td>\n",
       "      <td>51</td>\n",
       "      <td>API</td>\n",
       "      <td>1520165334091</td>\n",
       "      <td>615789</td>\n",
       "      <td>8</td>\n",
       "      <td>78946</td>\n",
       "      <td>GROUP_OPEN_OFFICIAL</td>\n",
       "      <td>...</td>\n",
       "      <td>None</td>\n",
       "      <td>None</td>\n",
       "      <td>None</td>\n",
       "      <td>0.415802</td>\n",
       "      <td>[be106efad83ec1a40d7dab92a78e2a1a, 66775fb29d3...</td>\n",
       "      <td>NaN</td>\n",
       "      <td>2018-03-04</td>\n",
       "      <td>0</td>\n",
       "      <td>15</td>\n",
       "      <td>7</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>1262</td>\n",
       "      <td>Video</td>\n",
       "      <td>511150</td>\n",
       "      <td>2</td>\n",
       "      <td>API</td>\n",
       "      <td>1520144394061</td>\n",
       "      <td>248661</td>\n",
       "      <td>6</td>\n",
       "      <td>78100</td>\n",
       "      <td>GROUP_OPEN_OFFICIAL</td>\n",
       "      <td>...</td>\n",
       "      <td>None</td>\n",
       "      <td>None</td>\n",
       "      <td>None</td>\n",
       "      <td>0.904096</td>\n",
       "      <td>None</td>\n",
       "      <td>0.895632</td>\n",
       "      <td>2018-03-04</td>\n",
       "      <td>0</td>\n",
       "      <td>9</td>\n",
       "      <td>7</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>1316</td>\n",
       "      <td>Post</td>\n",
       "      <td>34118682</td>\n",
       "      <td>1</td>\n",
       "      <td>WEB</td>\n",
       "      <td>1520181174095</td>\n",
       "      <td>16408086</td>\n",
       "      <td>8</td>\n",
       "      <td>47200</td>\n",
       "      <td>GROUP_OPEN_OFFICIAL</td>\n",
       "      <td>...</td>\n",
       "      <td>None</td>\n",
       "      <td>None</td>\n",
       "      <td>None</td>\n",
       "      <td>0.249475</td>\n",
       "      <td>[557d8dcf62bf5728ce0e60f94a94e0b9]</td>\n",
       "      <td>NaN</td>\n",
       "      <td>2018-03-04</td>\n",
       "      <td>0</td>\n",
       "      <td>19</td>\n",
       "      <td>7</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>1316</td>\n",
       "      <td>Post</td>\n",
       "      <td>34093094</td>\n",
       "      <td>5</td>\n",
       "      <td>WEB</td>\n",
       "      <td>1520181319214</td>\n",
       "      <td>145227</td>\n",
       "      <td>8</td>\n",
       "      <td>47200</td>\n",
       "      <td>GROUP_OPEN_OFFICIAL</td>\n",
       "      <td>...</td>\n",
       "      <td>None</td>\n",
       "      <td>None</td>\n",
       "      <td>None</td>\n",
       "      <td>0.236818</td>\n",
       "      <td>[b90effa5e1afecdfb22d4273a57c867e]</td>\n",
       "      <td>NaN</td>\n",
       "      <td>2018-03-04</td>\n",
       "      <td>0</td>\n",
       "      <td>19</td>\n",
       "      <td>7</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>5</th>\n",
       "      <td>1316</td>\n",
       "      <td>Photo</td>\n",
       "      <td>6307405</td>\n",
       "      <td>2</td>\n",
       "      <td>WEB</td>\n",
       "      <td>1520193058381</td>\n",
       "      <td>2667185</td>\n",
       "      <td>3</td>\n",
       "      <td>68841</td>\n",
       "      <td>GROUP_OPEN</td>\n",
       "      <td>...</td>\n",
       "      <td>None</td>\n",
       "      <td>None</td>\n",
       "      <td>None</td>\n",
       "      <td>0.116911</td>\n",
       "      <td>None</td>\n",
       "      <td>NaN</td>\n",
       "      <td>2018-03-04</td>\n",
       "      <td>0</td>\n",
       "      <td>22</td>\n",
       "      <td>7</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>6</th>\n",
       "      <td>1460</td>\n",
       "      <td>Post</td>\n",
       "      <td>18617580</td>\n",
       "      <td>0</td>\n",
       "      <td>WEB</td>\n",
       "      <td>1520186529845</td>\n",
       "      <td>239844</td>\n",
       "      <td>8</td>\n",
       "      <td>43523</td>\n",
       "      <td>GROUP_OPEN_OFFICIAL</td>\n",
       "      <td>...</td>\n",
       "      <td>None</td>\n",
       "      <td>None</td>\n",
       "      <td>None</td>\n",
       "      <td>0.612801</td>\n",
       "      <td>None</td>\n",
       "      <td>NaN</td>\n",
       "      <td>2018-03-04</td>\n",
       "      <td>0</td>\n",
       "      <td>21</td>\n",
       "      <td>7</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>7</th>\n",
       "      <td>2039</td>\n",
       "      <td>Post</td>\n",
       "      <td>30666552</td>\n",
       "      <td>30</td>\n",
       "      <td>WEB</td>\n",
       "      <td>1520170220980</td>\n",
       "      <td>8429661</td>\n",
       "      <td>8</td>\n",
       "      <td>24604</td>\n",
       "      <td>GROUP_OPEN_OFFICIAL</td>\n",
       "      <td>...</td>\n",
       "      <td>None</td>\n",
       "      <td>None</td>\n",
       "      <td>None</td>\n",
       "      <td>0.681724</td>\n",
       "      <td>[ffd7c6423b1bf84423da6080b569ae0f]</td>\n",
       "      <td>0.932278</td>\n",
       "      <td>2018-03-04</td>\n",
       "      <td>0</td>\n",
       "      <td>16</td>\n",
       "      <td>7</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>8</th>\n",
       "      <td>2039</td>\n",
       "      <td>Post</td>\n",
       "      <td>25190325</td>\n",
       "      <td>24</td>\n",
       "      <td>WEB</td>\n",
       "      <td>1520170220980</td>\n",
       "      <td>8429661</td>\n",
       "      <td>8</td>\n",
       "      <td>80035</td>\n",
       "      <td>GROUP_OPEN_OFFICIAL</td>\n",
       "      <td>...</td>\n",
       "      <td>None</td>\n",
       "      <td>None</td>\n",
       "      <td>None</td>\n",
       "      <td>0.772499</td>\n",
       "      <td>None</td>\n",
       "      <td>NaN</td>\n",
       "      <td>2018-03-04</td>\n",
       "      <td>0</td>\n",
       "      <td>16</td>\n",
       "      <td>7</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>9</th>\n",
       "      <td>2039</td>\n",
       "      <td>Post</td>\n",
       "      <td>38971779</td>\n",
       "      <td>29</td>\n",
       "      <td>WEB</td>\n",
       "      <td>1520189667010</td>\n",
       "      <td>17150073</td>\n",
       "      <td>8</td>\n",
       "      <td>61560</td>\n",
       "      <td>GROUP_OPEN_OFFICIAL</td>\n",
       "      <td>...</td>\n",
       "      <td>None</td>\n",
       "      <td>None</td>\n",
       "      <td>None</td>\n",
       "      <td>0.840345</td>\n",
       "      <td>[eeda35c79b1083eed03ba5b78b59d5c5]</td>\n",
       "      <td>NaN</td>\n",
       "      <td>2018-03-04</td>\n",
       "      <td>0</td>\n",
       "      <td>21</td>\n",
       "      <td>7</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>10 rows × 110 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "   instanceId_userId instanceId_objectType  instanceId_objectId  audit_pos  \\\n",
       "0                527                  Post             37392482          1   \n",
       "1                572                  Post             38438574         51   \n",
       "2               1262                 Video               511150          2   \n",
       "3               1316                  Post             34118682          1   \n",
       "4               1316                  Post             34093094          5   \n",
       "5               1316                 Photo              6307405          2   \n",
       "6               1460                  Post             18617580          0   \n",
       "7               2039                  Post             30666552         30   \n",
       "8               2039                  Post             25190325         24   \n",
       "9               2039                  Post             38971779         29   \n",
       "\n",
       "  audit_clientType  audit_timestamp  audit_timePassed  audit_resourceType  \\\n",
       "0              API    1520155645869          11136024                   8   \n",
       "1              API    1520165334091            615789                   8   \n",
       "2              API    1520144394061            248661                   6   \n",
       "3              WEB    1520181174095          16408086                   8   \n",
       "4              WEB    1520181319214            145227                   8   \n",
       "5              WEB    1520193058381           2667185                   3   \n",
       "6              WEB    1520186529845            239844                   8   \n",
       "7              WEB    1520170220980           8429661                   8   \n",
       "8              WEB    1520170220980           8429661                   8   \n",
       "9              WEB    1520189667010          17150073                   8   \n",
       "\n",
       "   metadata_ownerId   metadata_ownerType  ...  \\\n",
       "0             19464  GROUP_OPEN_OFFICIAL  ...   \n",
       "1             78946  GROUP_OPEN_OFFICIAL  ...   \n",
       "2             78100  GROUP_OPEN_OFFICIAL  ...   \n",
       "3             47200  GROUP_OPEN_OFFICIAL  ...   \n",
       "4             47200  GROUP_OPEN_OFFICIAL  ...   \n",
       "5             68841           GROUP_OPEN  ...   \n",
       "6             43523  GROUP_OPEN_OFFICIAL  ...   \n",
       "7             24604  GROUP_OPEN_OFFICIAL  ...   \n",
       "8             80035  GROUP_OPEN_OFFICIAL  ...   \n",
       "9             61560  GROUP_OPEN_OFFICIAL  ...   \n",
       "\n",
       "   auditweights_userOwner_USER_PROFILE_VIEW  auditweights_userOwner_VIDEO  \\\n",
       "0                                      None                          None   \n",
       "1                                      None                          None   \n",
       "2                                      None                          None   \n",
       "3                                      None                          None   \n",
       "4                                      None                          None   \n",
       "5                                      None                          None   \n",
       "6                                      None                          None   \n",
       "7                                      None                          None   \n",
       "8                                      None                          None   \n",
       "9                                      None                          None   \n",
       "\n",
       "   auditweights_x_ActorsRelations  auditweights_svd  \\\n",
       "0                            None          0.971861   \n",
       "1                            None          0.415802   \n",
       "2                            None          0.904096   \n",
       "3                            None          0.249475   \n",
       "4                            None          0.236818   \n",
       "5                            None          0.116911   \n",
       "6                            None          0.612801   \n",
       "7                            None          0.681724   \n",
       "8                            None          0.772499   \n",
       "9                            None          0.840345   \n",
       "\n",
       "                                             ImageId  \\\n",
       "0                 [c9aa648da68a59770d457a77e7498fa8]   \n",
       "1  [be106efad83ec1a40d7dab92a78e2a1a, 66775fb29d3...   \n",
       "2                                               None   \n",
       "3                 [557d8dcf62bf5728ce0e60f94a94e0b9]   \n",
       "4                 [b90effa5e1afecdfb22d4273a57c867e]   \n",
       "5                                               None   \n",
       "6                                               None   \n",
       "7                 [ffd7c6423b1bf84423da6080b569ae0f]   \n",
       "8                                               None   \n",
       "9                 [eeda35c79b1083eed03ba5b78b59d5c5]   \n",
       "\n",
       "   auditweights_likersSvd_hyper        date  liked  hour dow  \n",
       "0                      0.404382  2018-03-04      0    12   7  \n",
       "1                           NaN  2018-03-04      0    15   7  \n",
       "2                      0.895632  2018-03-04      0     9   7  \n",
       "3                           NaN  2018-03-04      0    19   7  \n",
       "4                           NaN  2018-03-04      0    19   7  \n",
       "5                           NaN  2018-03-04      0    22   7  \n",
       "6                           NaN  2018-03-04      0    21   7  \n",
       "7                      0.932278  2018-03-04      0    16   7  \n",
       "8                           NaN  2018-03-04      0    16   7  \n",
       "9                           NaN  2018-03-04      0    21   7  \n",
       "\n",
       "[10 rows x 110 columns]"
      ]
     },
     "execution_count": 2,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df = sqlContext.read.format(\"parquet\").load(\"SNA/\")\n",
    "\n",
    "# выделяем целевую переменную\n",
    "df = df.withColumn(\"liked\", f.array_contains(\"feedback\", \"Liked\").cast('integer'))\n",
    "# Выделяем: часы и дни недели, в которые показаны посты\n",
    "df = df.withColumn(\"hour\", f.from_unixtime(f.col(\"audit_timestamp\") / 1000, \"HH\").cast('integer'))\n",
    "df = df.withColumn(\"dow\", f.date_format(f.from_unixtime(f.col(\"audit_timestamp\") / 1000), \"u\").cast('integer'))\n",
    "\n",
    "print(f'shape: {df.count()}, {len(df.columns)}')\n",
    "\n",
    "df.limit(10).toPandas()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "- instanceId_userId — идентификатор пользователя (анонимизированный);\n",
    "- instanceId_objectType — тип объекта;\n",
    "- instanceId_objectId — идентификатор объекта (анонимизированный);\n",
    "- feedback — массив с типами реакций пользователя (наличие в массиве токена Liked говорит о том, что объект получил «класс» от пользователя);\n",
    "- audit_clientType — тип платформы, с которой зашёл пользователь;\n",
    "- audit_timestamp — время, когда строилась лента;\n",
    "- metadata_ownerId — автор показанного объекта (анонимизированный);\n",
    "- metadata_createdAt — дата создания показанного объекта.\n",
    "- audit_* — расширенная информация о контексте построения ленты;\n",
    "- metadata_* — расширенная информация о самом объекте;\n",
    "- userOwnerCounters_* — информация о предыдущих взаимодействиях пользователя и автора контента;\n",
    "- ownerUserCounters_* — информация о предыдущих взаимодействиях автора контента и пользователя;\n",
    "- membership_* — информация о членстве пользователя в группе, где опубликован контент;\n",
    "- user_* — подробная информация о пользователе;\n",
    "- auditweights_* — большое количество runtime-признаков, извлечённых текущей системой."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "metadata": {
    "ExecuteTime": {
     "end_time": "2020-09-09T15:42:15.016078Z",
     "start_time": "2020-09-09T15:34:22.833520Z"
    }
   },
   "outputs": [
    {
     "data": {
      "application/vnd.jupyter.widget-view+json": {
       "model_id": "0f2f39bfa37e42c78ab7a080fa151ebe",
       "version_major": 2,
       "version_minor": 0
      },
      "text/plain": [
       "HBox(children=(FloatProgress(value=0.0, max=110.0), HTML(value='')))"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "# Кол-во уникальных значений в каждой фиче\n",
    "for col in tqdm(df.columns):\n",
    "    n_unique = df.agg(f.expr(f'count(distinct {col})').alias('count'))\n",
    "    n_unique = n_unique.collect()[0]['count']\n",
    "\n",
    "    d_type = df.schema[col].dataType\n",
    "\n",
    "    print(col, '-', d_type, '-', n_unique)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# EDA"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Категориальные фичи"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "metadata": {
    "ExecuteTime": {
     "end_time": "2020-09-09T07:10:03.020250Z",
     "start_time": "2020-09-09T07:10:02.334249Z"
    }
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "+---------------------+--------+\n",
      "|instanceId_objectType|   count|\n",
      "+---------------------+--------+\n",
      "|                 Post|28601793|\n",
      "|                Photo| 1411216|\n",
      "|                Video|  774838|\n",
      "+---------------------+--------+\n",
      "\n"
     ]
    }
   ],
   "source": [
    "df.groupBy('instanceId_objectType').count().orderBy(\"count\", ascending=False).show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "metadata": {
    "ExecuteTime": {
     "end_time": "2020-09-09T07:10:00.833926Z",
     "start_time": "2020-09-09T07:09:59.478919Z"
    }
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "+----------------+--------+\n",
      "|audit_clientType|   count|\n",
      "+----------------+--------+\n",
      "|             API|13819364|\n",
      "|             WEB|12885232|\n",
      "|             MOB| 4083251|\n",
      "+----------------+--------+\n",
      "\n"
     ]
    }
   ],
   "source": [
    "df.groupBy('audit_clientType').count().orderBy(\"count\", ascending=False).show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 81,
   "metadata": {
    "ExecuteTime": {
     "end_time": "2020-09-09T14:05:48.005731Z",
     "start_time": "2020-09-09T14:05:47.531732Z"
    }
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "+------------------+--------+\n",
      "|audit_resourceType|   count|\n",
      "+------------------+--------+\n",
      "|                 8|26332009|\n",
      "|                 3| 1411216|\n",
      "|                 7| 1335147|\n",
      "|                14|  934637|\n",
      "|                 6|  774838|\n",
      "+------------------+--------+\n",
      "\n"
     ]
    }
   ],
   "source": [
    "df.groupBy('audit_resourceType').count().orderBy(\"count\", ascending=False).show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 85,
   "metadata": {
    "ExecuteTime": {
     "end_time": "2020-09-09T14:07:18.569197Z",
     "start_time": "2020-09-09T14:07:17.810208Z"
    }
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "+-------------------+--------+\n",
      "| metadata_ownerType|   count|\n",
      "+-------------------+--------+\n",
      "|GROUP_OPEN_OFFICIAL|26742841|\n",
      "|         GROUP_OPEN| 4045006|\n",
      "+-------------------+--------+\n",
      "\n"
     ]
    }
   ],
   "source": [
    "df.groupBy('metadata_ownerType').count().orderBy(\"count\", ascending=False).show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 82,
   "metadata": {
    "ExecuteTime": {
     "end_time": "2020-09-09T14:05:54.625869Z",
     "start_time": "2020-09-09T14:05:54.171870Z"
    }
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "+-----------------+--------+\n",
      "|metadata_numPolls|   count|\n",
      "+-----------------+--------+\n",
      "|                0|28499204|\n",
      "|                1| 2246143|\n",
      "|                2|   41634|\n",
      "|                3|     562|\n",
      "|                4|     196|\n",
      "|                5|      48|\n",
      "|               10|      16|\n",
      "|               12|       9|\n",
      "|               11|       9|\n",
      "|                7|       7|\n",
      "|               16|       6|\n",
      "|                6|       5|\n",
      "|                8|       4|\n",
      "|                9|       2|\n",
      "|               14|       2|\n",
      "+-----------------+--------+\n",
      "\n"
     ]
    }
   ],
   "source": [
    "df.groupBy('metadata_numPolls').count().orderBy(\"count\", ascending=False).show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 84,
   "metadata": {
    "ExecuteTime": {
     "end_time": "2020-09-09T14:06:03.621358Z",
     "start_time": "2020-09-09T14:06:03.035359Z"
    }
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "+-----------------+--------+\n",
      "|metadata_platform|   count|\n",
      "+-----------------+--------+\n",
      "|            OTHER|19358156|\n",
      "|              WEB| 7872480|\n",
      "|          ANDROID| 2824261|\n",
      "|              MOB|  429094|\n",
      "|              IOS|  283943|\n",
      "|         WINPHONE|   19913|\n",
      "+-----------------+--------+\n",
      "\n"
     ]
    }
   ],
   "source": [
    "df.groupBy('metadata_platform').count().orderBy(\"count\", ascending=False).show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 86,
   "metadata": {
    "ExecuteTime": {
     "end_time": "2020-09-09T14:09:20.007149Z",
     "start_time": "2020-09-09T14:09:19.400160Z"
    }
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "+-----------------+--------+\n",
      "|membership_status|   count|\n",
      "+-----------------+--------+\n",
      "|                A|19694468|\n",
      "|             null|10958920|\n",
      "|                P|  106140|\n",
      "|                I|    9619|\n",
      "|                M|    8320|\n",
      "|                Y|    7380|\n",
      "|                !|    2527|\n",
      "|                B|     467|\n",
      "|                R|       6|\n",
      "+-----------------+--------+\n",
      "\n"
     ]
    }
   ],
   "source": [
    "df.groupBy('membership_status').count().orderBy(\"count\", ascending=False).show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "metadata": {
    "ExecuteTime": {
     "end_time": "2020-09-09T07:10:04.321682Z",
     "start_time": "2020-09-09T07:10:03.582681Z"
    }
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "+-----------+--------+\n",
      "|user_gender|   count|\n",
      "+-----------+--------+\n",
      "|          2|22751497|\n",
      "|          1| 8034354|\n",
      "|       null|    1986|\n",
      "|          0|      10|\n",
      "+-----------+--------+\n",
      "\n"
     ]
    }
   ],
   "source": [
    "df.groupBy('user_gender').count().orderBy(\"count\", ascending=False).show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 87,
   "metadata": {
    "ExecuteTime": {
     "end_time": "2020-09-09T14:09:46.262542Z",
     "start_time": "2020-09-09T14:09:45.792553Z"
    }
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "+-----------+--------+\n",
      "|user_status|   count|\n",
      "+-----------+--------+\n",
      "|        128|29246267|\n",
      "|        192| 1534224|\n",
      "|         32|    3510|\n",
      "|       null|    1986|\n",
      "|         16|    1755|\n",
      "|         96|      86|\n",
      "|         80|      19|\n",
      "+-----------+--------+\n",
      "\n"
     ]
    }
   ],
   "source": [
    "df.groupBy('user_status').count().orderBy(\"count\", ascending=False).show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 88,
   "metadata": {
    "ExecuteTime": {
     "end_time": "2020-09-09T14:11:14.099781Z",
     "start_time": "2020-09-09T14:11:13.718780Z"
    }
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "+--------------+--------+\n",
      "|user_is_active|   count|\n",
      "+--------------+--------+\n",
      "|             1|30780491|\n",
      "|             0|    5370|\n",
      "|          null|    1986|\n",
      "+--------------+--------+\n",
      "\n"
     ]
    }
   ],
   "source": [
    "df.groupBy('user_is_active').count().orderBy(\"count\", ascending=False).show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 89,
   "metadata": {
    "ExecuteTime": {
     "end_time": "2020-09-09T14:11:18.479049Z",
     "start_time": "2020-09-09T14:11:18.079042Z"
    }
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "+---------------+--------+\n",
      "|user_is_deleted|   count|\n",
      "+---------------+--------+\n",
      "|              0|30784087|\n",
      "|           null|    1986|\n",
      "|              1|    1774|\n",
      "+---------------+--------+\n",
      "\n"
     ]
    }
   ],
   "source": [
    "df.groupBy('user_is_deleted').count().orderBy(\"count\", ascending=False).show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 90,
   "metadata": {
    "ExecuteTime": {
     "end_time": "2020-09-09T14:11:23.466800Z",
     "start_time": "2020-09-09T14:11:23.094802Z"
    }
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "+--------------+--------+\n",
      "|user_is_abused|   count|\n",
      "+--------------+--------+\n",
      "|             0|30782265|\n",
      "|             1|    3596|\n",
      "|          null|    1986|\n",
      "+--------------+--------+\n",
      "\n"
     ]
    }
   ],
   "source": [
    "df.groupBy('user_is_abused').count().orderBy(\"count\", ascending=False).show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 91,
   "metadata": {
    "ExecuteTime": {
     "end_time": "2020-09-09T14:11:29.039334Z",
     "start_time": "2020-09-09T14:11:28.679335Z"
    }
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "+-----------------+--------+\n",
      "|user_is_activated|   count|\n",
      "+-----------------+--------+\n",
      "|                1|30785858|\n",
      "|             null|    1986|\n",
      "|                0|       3|\n",
      "+-----------------+--------+\n",
      "\n"
     ]
    }
   ],
   "source": [
    "df.groupBy('user_is_activated').count().orderBy(\"count\", ascending=False).show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 92,
   "metadata": {
    "ExecuteTime": {
     "end_time": "2020-09-09T14:12:24.210133Z",
     "start_time": "2020-09-09T14:12:23.814144Z"
    }
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "+---------------------+--------+\n",
      "|user_is_semiactivated|   count|\n",
      "+---------------------+--------+\n",
      "|                    0|28438211|\n",
      "|                 null| 2325433|\n",
      "|                    1|   24203|\n",
      "+---------------------+--------+\n",
      "\n"
     ]
    }
   ],
   "source": [
    "df.groupBy('user_is_semiactivated').count().orderBy(\"count\", ascending=False).show()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Популярность групп..."
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "... по количеству публикаций"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "metadata": {
    "ExecuteTime": {
     "end_time": "2020-09-09T07:10:14.593521Z",
     "start_time": "2020-09-09T07:10:07.119742Z"
    }
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "+----------------+------+\n",
      "|metadata_ownerId| count|\n",
      "+----------------+------+\n",
      "|           37463|117830|\n",
      "|           11222| 86560|\n",
      "|           65305| 85199|\n",
      "|           76851| 80982|\n",
      "|           38703| 73092|\n",
      "|           18942| 72232|\n",
      "|           62833| 68176|\n",
      "|           60195| 67020|\n",
      "|           11163| 66018|\n",
      "|           67111| 65434|\n",
      "+----------------+------+\n",
      "only showing top 10 rows\n",
      "\n"
     ]
    }
   ],
   "source": [
    "df.groupBy(\"metadata_ownerId\").count().orderBy(\"count\", ascending=False).show(10)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "... по количеству членов группы"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 9,
   "metadata": {
    "ExecuteTime": {
     "end_time": "2020-09-09T07:10:34.334496Z",
     "start_time": "2020-09-09T07:10:27.958478Z"
    }
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "+----------------+-----+\n",
      "|metadata_ownerId|count|\n",
      "+----------------+-----+\n",
      "|           76851|71193|\n",
      "|           65305|56387|\n",
      "|           38703|51029|\n",
      "|           60195|49951|\n",
      "|           67111|48724|\n",
      "|           37463|47367|\n",
      "|           10644|44296|\n",
      "|           30830|42305|\n",
      "|           11222|41663|\n",
      "|           66769|40229|\n",
      "+----------------+-----+\n",
      "only showing top 10 rows\n",
      "\n"
     ]
    }
   ],
   "source": [
    "df.filter(df[\"membership_status\"].isNotNull()).groupBy(\"metadata_ownerId\").count().orderBy(\"count\", ascending=False).show(10)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "... по количеству лайков"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 10,
   "metadata": {
    "ExecuteTime": {
     "end_time": "2020-09-09T07:10:43.166087Z",
     "start_time": "2020-09-09T07:10:35.901963Z"
    }
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "+----------------+-----+\n",
      "|metadata_ownerId|count|\n",
      "+----------------+-----+\n",
      "|           37463|32472|\n",
      "|           11222|22994|\n",
      "|           62833|18689|\n",
      "|           18942|17532|\n",
      "|           11163|16327|\n",
      "|           60195|15947|\n",
      "|           23051|15393|\n",
      "|           17215|15155|\n",
      "|           65305|15150|\n",
      "|           79619|14474|\n",
      "+----------------+-----+\n",
      "only showing top 10 rows\n",
      "\n"
     ]
    }
   ],
   "source": [
    "df.filter(\"liked == 1\").groupBy(\"metadata_ownerId\").count().orderBy(\"count\", ascending=False).show(10)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Графики"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 15,
   "metadata": {
    "ExecuteTime": {
     "end_time": "2020-09-09T16:10:01.773891Z",
     "start_time": "2020-09-09T16:07:50.285309Z"
    }
   },
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 1224x432 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "df1 = df.select(\"hour\",\"liked\").sampleBy(\"liked\", fractions={0: 0.2, 1: 0.2}, seed=0).toPandas()\n",
    "\n",
    "plt.figure(figsize=(17,6))\n",
    "sns.histplot(df1, x=\"hour\", hue=\"liked\", multiple=\"stack\", bins=24);\n",
    "plt.title('Доля лайков не зависят от времени показа');"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 16,
   "metadata": {
    "ExecuteTime": {
     "end_time": "2020-09-09T16:12:41.737655Z",
     "start_time": "2020-09-09T16:10:29.818150Z"
    }
   },
   "outputs": [
    {
     "data": {
      "image/png": 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VXVdVB1bVgcBBwM+BLwLHARdW1X7Ahe0zSfYHFgEHAAuBjyWZ1ao7BTgW2K+9Frb4McCdVfVY4EPA+1tdc4ATgIOBBcAJg8kWSZIkSZLUP5trOMyhwPer6ibgCOCMFj8DOLItHwGcXVX3VtUNwApgQZLdge2r6qKqKuDMcWXG6joHOLT1EjkcWFZVa6rqTmAZ6xInkiRJkiSphzZXEmQRcFZb3q2qbgNo77u2+J7ALQNlVrbYnm15fHy9MlW1FvgpsPMUda0nybFJlidZvnr16k0+OEmSJEmSNPMNPQmS5GHAi4HPb2jTCWI1RXxTy6wLVJ1aVfOrav7cuXM30DxJkiRJkrQl2xw9QZ4HXF5Vt7fPt7chLrT3VS2+EthroNw84NYWnzdBfL0ySWYDOwBrpqhLkiRJkiT11OzNsI+Xs24oDMC5wGLgfe39SwPxzyb5a2APuglQL6mq+5LcneQQ4GLgaOBvx9V1EXAU8LWqqiQXAO8dmAz1MOD4YR2gJEmStCU66G1njroJQ3XZB44edRMkzTBDTYIkeQTwe8DrBsLvA5YmOQa4GXgpQFVdlWQpcDWwFnhDVd3XyrweOB3YFjivvQBOAz6VZAVdD5BFra41SU4CLm3bnVhVa4ZykJIkSZIkaYsw1CRIVf2cbqLSwdiP6Z4WM9H2JwMnTxBfDjxxgvgvaEmUCdYtAZZsfKslSZIkSdLWaHM9HUaSJEmSJGmkTIJIkiRJkqReMAkiSZIkSZJ6wSSIJEmSJEnqBZMgkiRJkiSpF0yCSJIkSZKkXjAJIkmSJEmSesEkiCRJkiRJ6gWTIJIkSZIkqRdMgkiSJEmSpF6YPeoGSJIkSZJmtoPeduaomzA0l33g6FE3QZuRPUEkSZIkSVIvmASRJEmSJEm9YBJEkiRJkiT1gkkQSZIkSZLUCyZBJEmSJElSL5gEkSRJkiRJvWASRJIkSZIk9YJJEEmSJEmS1AsmQSRJkiRJUi+YBJEkSZIkSb1gEkSSJEmSJPWCSRBJkiRJktQLJkEkSZIkSVIvDDUJkmTHJOckuTbJNUmenmROkmVJrm/vOw1sf3ySFUmuS3L4QPygJFe2dR9JkhbfJsnnWvziJPsMlFnc9nF9ksXDPE5JkiRJkjTzDbsnyIeB86vqCcCTgWuA44ALq2o/4ML2mST7A4uAA4CFwMeSzGr1nAIcC+zXXgtb/Bjgzqp6LPAh4P2trjnACcDBwALghMFkiyRJkiRJ6p+hJUGSbA88CzgNoKp+WVU/AY4AzmibnQEc2ZaPAM6uqnur6gZgBbAgye7A9lV1UVUVcOa4MmN1nQMc2nqJHA4sq6o1VXUnsIx1iRNJkiRJktRDw+wJ8hhgNfDJJP+W5BNJHgnsVlW3AbT3Xdv2ewK3DJRf2WJ7tuXx8fXKVNVa4KfAzlPUtZ4kxyZZnmT56tWrH8ixSpIkSZKkGW6YSZDZwFOBU6rqKcDPaENfJpEJYjVFfFPLrAtUnVpV86tq/ty5c6domiRJkiRJ2tINMwmyElhZVRe3z+fQJUVub0NcaO+rBrbfa6D8PODWFp83QXy9MklmAzsAa6aoS5IkSZIk9dTQkiBV9SPgliSPb6FDgauBc4Gxp7UsBr7Uls8FFrUnvuxLNwHqJW3IzN1JDmnzfRw9rsxYXUcBX2vzhlwAHJZkpzYh6mEtJkmSJEmSemr2kOt/I/CZJA8DfgC8hi7xsjTJMcDNwEsBquqqJEvpEiVrgTdU1X2tntcDpwPbAue1F3STrn4qyQq6HiCLWl1rkpwEXNq2O7Gq1gzzQCVJkiRJ0sw21CRIVV0BzJ9g1aGTbH8ycPIE8eXAEyeI/4KWRJlg3RJgyca0V5IkSZIkbb2GOSeIJEmSJEnSjGESRJIkSZIk9YJJEEmSJEmS1AsmQSRJkiRJUi+YBJEkSZIkSb1gEkSSJEmSJPWCSRBJkiRJktQLJkEkSZIkSVIvmASRJEmSJEm9YBJEkiRJkiT1gkkQSZIkSZLUCyZBJEmSJElSL5gEkSRJkiRJvWASRJIkSZIk9YJJEEmSJEmS1AsmQSRJkiRJUi+YBJEkSZIkSb1gEkSSJEmSJPWCSRBJkiRJktQLJkEkSZIkSVIvmASRJEmSJEm9YBJEkiRJkiT1gkkQSZIkSZLUCyZBJEmSJElSLww1CZLkxiRXJrkiyfIWm5NkWZLr2/tOA9sfn2RFkuuSHD4QP6jVsyLJR5KkxbdJ8rkWvzjJPgNlFrd9XJ9k8TCPU5IkSZIkzXyboyfI71bVgVU1v30+DriwqvYDLmyfSbI/sAg4AFgIfCzJrFbmFOBYYL/2WtjixwB3VtVjgQ8B7291zQFOAA4GFgAnDCZbJEmSJElS/4xiOMwRwBlt+QzgyIH42VV1b1XdAKwAFiTZHdi+qi6qqgLOHFdmrK5zgENbL5HDgWVVtaaq7gSWsS5xIkmSJEmSemjYSZACvprksiTHtthuVXUbQHvftcX3BG4ZKLuyxfZsy+Pj65WpqrXAT4Gdp6hrPUmOTbI8yfLVq1dv8kFKkiRJkqSZb/aQ639GVd2aZFdgWZJrp9g2E8RqivimllkXqDoVOBVg/vz591svSZIkSZK2HkPtCVJVt7b3VcAX6ebnuL0NcaG9r2qbrwT2Gig+D7i1xedNEF+vTJLZwA7AminqkiRJkiRJPTW0JEiSRybZbmwZOAz4HnAuMPa0lsXAl9ryucCi9sSXfekmQL2kDZm5O8khbb6Po8eVGavrKOBrbd6QC4DDkuzUJkQ9rMUkSZIkSVJPDXM4zG7AF9vTbGcDn62q85NcCixNcgxwM/BSgKq6KslS4GpgLfCGqrqv1fV64HRgW+C89gI4DfhUkhV0PUAWtbrWJDkJuLRtd2JVrRnisUqSJEmSpBluaEmQqvoB8OQJ4j8GDp2kzMnAyRPElwNPnCD+C1oSZYJ1S4AlG9dqSZIkSZK0tRrFI3IlSZIkSZI2O5MgkiRJkiSpF0yCSJIkSZKkXjAJIkmSJEmSesEkiCRJkiRJ6gWTIJIkSZIkqRdMgkiSJEmSpF4wCSJJkiRJknrBJIgkSZIkSeoFkyCSJEmSJKkXTIJIkiRJkqReMAkiSZIkSZJ6wSSIJEmSJEnqBZMgkiRJkiSpF0yCSJIkSZKkXjAJIkmSJEmSesEkiCRJkiRJ6gWTIJIkSZIkqRdMgkiSJEmSpF4wCSJJkiRJknrBJIgkSZIkSXrQJbmnve+R5Jy2/OokH93E+p6d5CsPpE3TSoIkuXA6MUmSJEmSpEFVdWtVHTXqdsAGkiBJHp5kDrBLkp2SzGmvfYA9NkcDJUmSJEnSlivJPkm+N0H8BUkuSrJLksPa8uVJPp/kUW2bhUmuTfJt4CUPtC0b6gnyOuAy4Antfez1JeDvprODJLOS/NtYl5WWRFmW5Pr2vtPAtscnWZHkuiSHD8QPSnJlW/eRJGnxbZJ8rsUvbsmZsTKL2z6uT7J4Om2VJEmSJEnDl+T3geOA57fQO4HnVtVTgeXAnyZ5OPAPwIuAZwK/8UD3O2USpKo+XFX7Am+tqsdU1b7t9eSqmu4YnjcB1wx8Pg64sKr2Ay5sn0myP7AIOABYCHwsyaxW5hTgWGC/9lrY4scAd1bVY4EPAe9vdc0BTgAOBhYAJwwmWyRJkiRJ0sj8LvB24AVVdSdwCLA/8K9JrgAWA3vTdci4oaqur6oCPv1AdzytOUGq6m+T/HaSP0xy9NhrQ+WSzANeAHxiIHwEcEZbPgM4ciB+dlXdW1U3ACuABUl2B7avqovaQZ85rsxYXecAh7ZeIocDy6pqTTuhy1iXOJEkSZIkSaPzA2A74HHtc+h+wx/YXvtX1TFtXT2YO57uxKifAj4I/A7wtPaaP42ifwP8GfCrgdhuVXUbQHvftcX3BG4Z2G5li+3ZlsfH1ytTVWuBnwI7T1HX+OM6NsnyJMtXr149jcORJEmSJEkP0E1083ucmeQA4LvAM5I8FiDJI5I8DrgW2DfJb7ZyL3+gO549ze3mA/u3nhjTkuSFwKqquizJs6dTZIJYTRHf1DLrAlWnAqcCzJ8//0HNLkmSJEmSpIlV1XVJXgF8nm7Oj1cDZyXZpm3yzqr6f0mOBf4pyR3At4EnPpD9TjcJ8j26CUhu24i6nwG8OMnzgYcD2yf5NHB7kt2r6rY21GVV234lsNdA+XnArS0+b4L4YJmVSWYDOwBrWvzZ48p8fSPaLkmSJEmSHoCqelR7v5GWvKiq04HT2/K/0c0FAvB9ulEn4+s4n25ukAfFtIbDALsAVye5IMm5Y6+pClTV8VU1r6r2oZvw9GtV9UrgXLpJTmjvX2rL5wKL2hNf9qWbAPWSNmTm7iSHtPk+jh5XZqyuo9o+CrgAOKw91ncn4LAWkyRJkiRJPTXdniDvehD3+T5gaZJjgJuBlwJU1VVJlgJXA2uBN1TVfa3M6+kyRdsC57UXwGnAp5KsoOsBsqjVtSbJScClbbsTq2rNg3gMkiRJkiRpCzOtJEhVfeOB7KSqvk4bjlJVPwYOnWS7k4GTJ4gvZ4JxP1X1C1oSZYJ1S4Alm9pmSZIkSZK0dZlWEiTJ3aybWPRhwEOBn1XV9sNqmCRJkiRJ0oNpuj1Bthv8nORIYMFQWiRJkiRJkjQE050YdT1V9b+B5zzIbZEkSZIkSRqa6Q6HecnAx4cA81k3PEaSJEmSJGmzSrIQ+DAwC/hEVb1vQ2Wm+3SYFw0srwVuBI7Y2AZKkiRJkqSty0FvO/NB7SRx2QeOzoa2STIL+Dvg94CVwKVJzq2qq6cqN905QV4zne0kSZIkSZI2gwXAiqr6AUCSs+k6a0yZBJnWnCBJ5iX5YpJVSW5P8oUk8x5wkyVJkiRJkjbensAtA59XttiUpjsx6ieBc4E9WqVfbjFJkiRJkqTNbaIhMxscljPdJMjcqvpkVa1tr9OBuRvTOkmSJEmSpAfJSmCvgc/zgFs3VGi6SZA7krwyyaz2eiXw401opCRJkiRJ0gN1KbBfkn2TPAxYRDeCZUrTTYL8EfAy4EfAbcBRgJOlSpIkSZKkza6q1gJ/AlwAXAMsraqrNlRuuo/IPQlYXFV3AiSZA3yQLjkiSZIkSZJ6ajqPtB2Gqvpn4J83psx0e4I8aSwB0na0BnjKxuxIkiRJkiRplKabBHlIkp3GPrSeINPtRSJJkiRJkjRy001k/BXwnSTn0D1y5mXAyUNrlSRJkiRJ0oNsWkmQqjozyXLgOXTP4n1JVV091JZJkiRJkiQ9iKY9pKUlPUx8SJIkSZKkLdJ05wSRJEmSJEnaopkEkSRJkiRJW5QkS5KsSvK9jSnnE14kSZIkSdImu/nE/1IPZn2P/osrM43NTgc+Cpy5MXXbE0SSJEmSJG1RquqbwJqNLWcSRJIkSZIk9YJJEEmSJEmS1AsmQSRJkiRJUi8MLQmS5OFJLkny70muSvLuFp+TZFmS69v7TgNljk+yIsl1SQ4fiB+U5Mq27iNJ0uLbJPlci1+cZJ+BMovbPq5PsnhYxylJkiRJkrYMw+wJci/wnKp6MnAgsDDJIcBxwIVVtR9wYftMkv2BRcABwELgY0lmtbpOAY4F9muvhS1+DHBnVT0W+BDw/lbXHOAE4GBgAXDCYLJFkiRJkiRtuZKcBVwEPD7JyiTHTKfc0B6RW1UF3NM+PrS9CjgCeHaLnwF8HXh7i59dVfcCNyRZASxIciOwfVVdBJDkTOBI4LxW5l2trnOAj7ZeIocDy6pqTSuzjC5xctZwjlaSJEmSpH6a5iNtH1RV9fJNKTfUOUGSzEpyBbCKLilxMbBbVd0G0N53bZvvCdwyUHxli+3ZlsfH1ytTVWuBnwI7T1HX+PYdm2R5kuWrV69+IIcqSZIkSZJmuKEmQarqvqo6EJhH16vjiVNsPlHmqKaIb2qZwfadWlXzq2r+3Llzp2iaJEmSJEna0m2Wp8NU1U/ohr0sBG5PsjtAe1/VNlsJ7DVQbB5wa4vPmyC+Xpkks4EdgDVT1CVJkiRJknpqmE+HmZtkx7a8LfBc4FrgXGDsaS2LgS+15XOBRe2JL/vSTYB6SRsyc3eSQ9p8H0ePKzNW11HA19pcJBcAhyXZqU2IeliLSZIkSZKknhraxKjA7sAZ7QkvDwGWVs+7NJIAAA3JSURBVNVXklwELG0zt94MvBSgqq5KshS4GlgLvKGq7mt1vR44HdiWbkLU81r8NOBTbRLVNXRPl6Gq1iQ5Cbi0bXfi2CSpkiRJkiSpn4b5dJj/CzxlgviPgUMnKXMycPIE8eXA/eYTqapf0JIoE6xbAizZuFZLkiRJkqSt1WaZE0SSJEmSJGnUTIJIkiRJkqReMAkiSZIkSZJ6wSSIJEmSJEnqBZMgkiRJkiSpF0yCSJIkSZKkXjAJIkmSJEmSesEkiCRJkiRJ6gWTIJIkSZIkqRdMgkiSJEmSpF4wCSJJkiRJknrBJIgkSZIkSeoFkyCSJEmSJKkXTIJIkiRJkqReMAkiSZIkSZJ6wSSIJEmSJEnqBZMgkiRJkiSpF0yCSJIkSZKkXjAJIkmSJEmSesEkiCRJkiRJ6gWTIJIkSZIkqRdMgkiSJEmSpF4wCSJJkiRJknphaEmQJHsl+T9JrklyVZI3tficJMuSXN/edxooc3ySFUmuS3L4QPygJFe2dR9JkhbfJsnnWvziJPsMlFnc9nF9ksXDOk5JkiRJkrRlGGZPkLXAW6rqt4BDgDck2R84DriwqvYDLmyfaesWAQcAC4GPJZnV6joFOBbYr70WtvgxwJ1V9VjgQ8D7W11zgBOAg4EFwAmDyRZJkiRJktQ/Q0uCVNVtVXV5W74buAbYEzgCOKNtdgZwZFs+Aji7qu6tqhuAFcCCJLsD21fVRVVVwJnjyozVdQ5waOslcjiwrKrWVNWdwDLWJU4kSZIkSVIPbZY5QdowlacAFwO7VdVt0CVKgF3bZnsCtwwUW9lie7bl8fH1ylTVWuCnwM5T1CVJkiRJknpq6EmQJI8CvgC8uarummrTCWI1RXxTywy27dgky5MsX7169RRNkyRJkiRJW7qhJkGSPJQuAfKZqvrHFr69DXGhva9q8ZXAXgPF5wG3tvi8CeLrlUkyG9gBWDNFXeupqlOran5VzZ87d+6mHqYkSZIkSdoCDPPpMAFOA66pqr8eWHUuMPa0lsXAlwbii9oTX/almwD1kjZk5u4kh7Q6jx5XZqyuo4CvtXlDLgAOS7JTmxD1sBaTJEmSJEk9NXuIdT8DeBVwZZIrWuwdwPuApUmOAW4GXgpQVVclWQpcTfdkmTdU1X2t3OuB04FtgfPaC7oky6eSrKDrAbKo1bUmyUnApW27E6tqzbAOVJIkSZIkzXxDS4JU1beZeG4OgEMnKXMycPIE8eXAEyeI/4KWRJlg3RJgyXTbK0mSJEmStm6b5ekwkiRJkiRJo2YSRJIkSZIk9YJJEEmSJEmS1AvDnBhVUk/cfOJ/GXUThubRf3HlqJsgSZIk6UFiEkRT8setpAeL/55oOrbm+wS8Vx5MW/O94n0iScPjcBhJkiRJktQL9gSRJEmStFWyx5Ck8ewJIkmSJEmSesEkiCRJkiRJ6gWTIJIkSZIkqRecE0SSJEmS1FvOHdMv9gSRJEmSJEm9YBJEkiRJkiT1gkkQSZIkSZLUCyZBJEmSJElSL5gEkSRJkiRJvWASRJIkSZIk9YJJEEmSJEmS1AsmQSRJkiRJUi+YBJEkSZIkSb1gEkSSJEmSJPWCSRBJkiRJktQLJkEkSZIkSVIvmASRJEmSJEm9MLQkSJIlSVYl+d5AbE6SZUmub+87Daw7PsmKJNclOXwgflCSK9u6jyRJi2+T5HMtfnGSfQbKLG77uD7J4mEdoyRJkiRJ2nIMsyfI6cDCcbHjgAuraj/gwvaZJPsDi4ADWpmPJZnVypwCHAvs115jdR4D3FlVjwU+BLy/1TUHOAE4GFgAnDCYbJEkSZIkSf00tCRIVX0TWDMufARwRls+AzhyIH52Vd1bVTcAK4AFSXYHtq+qi6qqgDPHlRmr6xzg0NZL5HBgWVWtqao7gWXcPxkjSZIkSZJ6ZnPPCbJbVd0G0N53bfE9gVsGtlvZYnu25fHx9cpU1Vrgp8DOU9R1P0mOTbI8yfLVq1c/gMOSJEmSJEkz3UyZGDUTxGqK+KaWWT9YdWpVza+q+XPnzp1WQyVJkiRJ0pZpcydBbm9DXGjvq1p8JbDXwHbzgFtbfN4E8fXKJJkN7EA3/GayuiRJkiRJUo9t7iTIucDY01oWA18aiC9qT3zZl24C1EvakJm7kxzS5vs4elyZsbqOAr7W5g25ADgsyU5tQtTDWkySJEmSJPXY7GFVnOQs4NnALklW0j2x5X3A0iTHADcDLwWoqquSLAWuBtYCb6iq+1pVr6d70sy2wHntBXAa8KkkK+h6gCxqda1JchJwadvuxKoaP0GrJEmSJEnqmaElQarq5ZOsOnSS7U8GTp4gvhx44gTxX9CSKBOsWwIsmXZjJUmSJEnSVm+mTIwqSZIkSZI0VCZBJEmSJElSL5gEkSRJkiRJvWASRJIkSZIk9YJJEEmSJEmS1AsmQSRJkiRJUi+YBJEkSZIkSb1gEkSSJEmSJPWCSRBJkiRJktQLJkEkSZIkSVIvmASRJEmSJEm9YBJEkiRJkiT1gkkQSZIkSZLUCyZBJEmSJElSL5gEkSRJkiRJvWASRJIkSZIk9YJJEEmSJEmS1AsmQSRJkiRJUi+YBJEkSZIkSb1gEkSSJEmSJPWCSRBJkiRJktQLJkEkSZIkSVIvmASRJEmSJEm9YBJEkiRJkiT1wladBEmyMMl1SVYkOW7U7ZEkSZIkSaOz1SZBkswC/g54HrA/8PIk+4+2VZIkSZIkaVS22iQIsABYUVU/qKpfAmcDR4y4TZIkSZIkaURSVaNuw1AkOQpYWFWvbZ9fBRxcVX8ysM2xwLHt4+OB6zZ7Q2e+XYA7Rt0IzXjeJ5oO7xNNh/eJpst7RdPhfaLp8D65vzuqauGoGzEMs0fdgCHKBLH1Mj5VdSpw6uZpzpYpyfKqmj/qdmhm8z7RdHifaDq8TzRd3iuaDu8TTYf3Sb9szcNhVgJ7DXyeB9w6orZIkiRJkqQR25qTIJcC+yXZN8nDgEXAuSNukyRJkiRJGpGtdjhMVa1N8ifABcAsYElVXTXiZm2JHC6k6fA+0XR4n2g6vE80Xd4rmg7vE02H90mPbLUTo0qSJEmSJA3amofDSJIkSZIk/ZpJEEmSJEmS1AsmQTShJEuSrEryvVG3RTNTkr2S/J8k1yS5KsmbRt0mzUxJHp7kkiT/3u6Vd4+6TZq5ksxK8m9JvjLqtmhmSnJjkiuTXJFk+ajbo5kpyY5Jzklybft/laePuk2aeZI8vv1bMva6K8mbR90uDZdzgmhCSZ4F3AOcWVVPHHV7NPMk2R3YvaouT7IdcBlwZFVdPeKmaYZJEuCRVXVPkocC3wbeVFXfHXHTNAMl+VNgPrB9Vb1w1O3RzJPkRmB+Vd0x6rZo5kpyBvCtqvpEe1LkI6rqJ6Nul2auJLOAHwIHV9VNo26PhseeIJpQVX0TWDPqdmjmqqrbqurytnw3cA2w52hbpZmoOve0jw9tLzPwup8k84AXAJ8YdVskbbmSbA88CzgNoKp+aQJE03Ao8H0TIFs/kyCSHrAk+wBPAS4ebUs0U7UhDlcAq4BlVeW9oon8DfBnwK9G3RDNaAV8NcllSY4ddWM0Iz0GWA18sg2v+0SSR466UZrxFgFnjboRGj6TIJIekCSPAr4AvLmq7hp1ezQzVdV9VXUgMA9YkMRhdlpPkhcCq6rqslG3RTPeM6rqqcDzgDe0IbzSoNnAU4FTquopwM+A40bbJM1kbcjUi4HPj7otGj6TIJI2WZvf4QvAZ6rqH0fdHs18rTvy14GFI26KZp5nAC9u8z2cDTwnyadH2yTNRFV1a3tfBXwRWDDaFmkGWgmsHOh1eA5dUkSazPOAy6vq9lE3RMNnEkTSJmmTXZ4GXFNVfz3q9mjmSjI3yY5teVvgucC1o22VZpqqOr6q5lXVPnRdkr9WVa8ccbM0wyR5ZJuMmza84TDAJ9lpPVX1I+CWJI9voUMBJ27XVF6OQ2F6Y/aoG6CZKclZwLOBXZKsBE6oqtNG2yrNMM8AXgVc2eZ6AHhHVf3zCNukmWl34Iw26/pDgKVV5eNPJW2K3YAvdnl4ZgOfrarzR9skzVBvBD7Thjn8AHjNiNujGSrJI4DfA1436rZo8/ARuZIkSZIkqRccDiNJkiRJknrBJIgkSZIkSeoFkyCSJEmSJKkXTIJIkiRJkqReMAkiSZIkSZJ6wSSIJEkaiSTvSvLWUbdDkiT1h0kQSZIkSZLUCyZBJEnSZpPkz5Ncl+RfgMe32IFJvpvk/yb5YpKdkuya5LK2/slJKsmj2+fvJ3nECA9DkiRtoUyCSJKkzSLJQcAi4CnAS4CntVVnAm+vqicBVwInVNUq4OFJtgeeCSwHnplkb2BVVf18sx+AJEna4s0edQMkSVJvPBP44lgCI8m5wCOBHavqG22bM4DPt+XvAM8AngW8F1gIBPjW5my0JEnaetgTRJIkbU61Edt+iy5xsjfwJeDJwO8A3xxCuyRJUg+YBJEkSZvLN4HfT7Jtku2AFwE/A+5M8sy2zauAbwxs/0rg+qr6FbAGeD7wr5u32ZIkaWvhcBhJkrRZVNXlST4HXAHcxLphLYuBv2+Tnf4AeE3b/sYksK7nx7eBeVV152ZtuCRJ2mqkamN6pUqSJEmSJG2ZHA4jSZIkSZJ6wSSIJEmSJEnqBZMgkiRJkiSpF0yCSJIkSZKkXjAJIkmSJEmSesEkiCRJkiRJ6gWTIJIkSZIkqRf+P33w5oNJaw5LAAAAAElFTkSuQmCC\n",
      "text/plain": [
       "<Figure size 1079.17x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "df1 = df.select(\"dow\",\"liked\").sampleBy(\"liked\", fractions={0: 0.2, 1: 0.2}, seed=0).toPandas()\n",
    "\n",
    "sns.catplot(data=df1, x=\"dow\", kind=\"count\", hue=\"liked\", height=4, aspect=3.6)\n",
    "plt.title('По дням недели серьезного перекоса не наблюдается');"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 17,
   "metadata": {
    "ExecuteTime": {
     "end_time": "2020-09-09T16:15:56.841338Z",
     "start_time": "2020-09-09T16:12:53.619520Z"
    }
   },
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 1079.17x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "df1 = df.select(\"audit_clientType\",\"liked\").sampleBy(\"liked\", fractions={0: 0.2, 1: 0.2}, seed=0).toPandas()\n",
    "\n",
    "sns.catplot(data=df1, y=\"audit_clientType\", kind=\"count\", hue=\"liked\", height=4, aspect=3.6, orient='h')\n",
    "plt.title('С мобильных устройств смотрят значительно меньше');"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 18,
   "metadata": {
    "ExecuteTime": {
     "end_time": "2020-09-09T16:19:08.420115Z",
     "start_time": "2020-09-09T16:16:06.595680Z"
    }
   },
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 1079.17x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "df1 = df.select(\"instanceId_objectType\",\"liked\").sampleBy(\"liked\", fractions={0: 0.2, 1: 0.2}, seed=0).toPandas()\n",
    "\n",
    "sns.catplot(data=df1, y=\"instanceId_objectType\", kind=\"count\", hue=\"liked\", height=4, aspect=3.6, orient='h')\n",
    "plt.title('Текстовые посты в абсолютном исчислении выгоднее');"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 19,
   "metadata": {
    "ExecuteTime": {
     "end_time": "2020-09-09T16:21:57.690666Z",
     "start_time": "2020-09-09T16:19:48.822946Z"
    }
   },
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 1035.97x216 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "df1 = df.select(\"user_gender\",\"liked\").sampleBy(\"liked\", fractions={0: 0.2, 1: 0.2}, seed=0).toPandas()\n",
    "\n",
    "sns.catplot(data=df1, y=\"user_gender\", kind=\"count\", hue=\"liked\", height=3, aspect=4.6, orient='h')\n",
    "plt.title('Выгоднее готовить контент для женской аудитории');"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 20,
   "metadata": {
    "ExecuteTime": {
     "end_time": "2020-09-09T16:26:49.510921Z",
     "start_time": "2020-09-09T16:22:42.556562Z"
    }
   },
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 1035.97x216 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "df1 = df.select(\"metadata_ownerType\",\"liked\").sampleBy(\"liked\", fractions={0: 0.2, 1: 0.2}, seed=0).toPandas()\n",
    "\n",
    "sns.catplot(data=df1, y=\"metadata_ownerType\", kind=\"count\", hue=\"liked\", height=3, aspect=4.6, orient='h')\n",
    "plt.title('Официальные группы популярнее');"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 33,
   "metadata": {
    "ExecuteTime": {
     "end_time": "2020-09-09T17:02:50.941557Z",
     "start_time": "2020-09-09T16:59:44.418686Z"
    }
   },
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 1079.17x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "df1 = df.select(\"metadata_platform\",\"liked\").sampleBy(\"liked\", fractions={0: 0.2, 1: 0.2}, seed=0).toPandas()\n",
    "\n",
    "sns.catplot(data=df1, x=\"metadata_platform\", kind=\"count\", hue=\"liked\", height=4, aspect=3.6)\n",
    "plt.title('Большенство трафика непонятно откуда...');"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 32,
   "metadata": {
    "ExecuteTime": {
     "end_time": "2020-09-09T16:59:08.954649Z",
     "start_time": "2020-09-09T16:56:39.020912Z"
    }
   },
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 1224x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "df1 = df.select(\"user_gender\",\"auditweights_userAge\",\"liked\").sampleBy(\n",
    "    \"liked\", fractions={0: 0.2, 1: 0.2}, seed=0).toPandas()\n",
    "\n",
    "plt.figure(figsize=(17,4))\n",
    "sns.boxplot(y=\"user_gender\", x=\"auditweights_userAge\", hue=\"liked\", data=df1, orient='h')\n",
    "plt.title('Чем моложе, тем охотнее ставят лайки');"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# Корреляция"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 12,
   "metadata": {
    "ExecuteTime": {
     "end_time": "2020-09-09T15:55:20.587466Z",
     "start_time": "2020-09-09T15:54:13.014466Z"
    },
    "code_folding": [
     0
    ]
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "audit_pos: 0.01345\n",
      "audit_timePassed: 0.01074\n",
      "metadata_numCompanions: -0.00408\n",
      "metadata_numPhotos: 0.00066\n",
      "metadata_numSymbols: -0.03827\n",
      "metadata_numTokens: -0.03828\n",
      "metadata_totalVideoLength: -0.0101\n",
      "userOwnerCounters_USER_FEED_REMOVE: -0.03753\n",
      "userOwnerCounters_UNKNOWN: 0.0006\n",
      "userOwnerCounters_CREATE_TOPIC: 0.00136\n",
      "userOwnerCounters_CREATE_IMAGE: 0.00021\n",
      "userOwnerCounters_CREATE_MOVIE: 0.00037\n",
      "userOwnerCounters_CREATE_COMMENT: -0.00036\n",
      "userOwnerCounters_CREATE_LIKE: 0.08363\n",
      "userOwnerCounters_IMAGE: -0.00627\n",
      "userOwnerCounters_VIDEO: -0.00356\n",
      "auditweights_ageMs: 0.02956\n",
      "auditweights_ctr_gender: 0.00482\n",
      "auditweights_ctr_high: 0.14511\n",
      "auditweights_ctr_negative: 3e-05\n",
      "auditweights_dailyRecency: -0.02917\n",
      "auditweights_feedOwner_RECOMMENDED_GROUP: -0.04568\n",
      "auditweights_feedStats: 0.05907\n",
      "auditweights_likersFeedStats_hyper: 0.03311\n",
      "auditweights_numDislikes: 0.01205\n",
      "auditweights_numLikes: 0.02165\n",
      "auditweights_numShows: -0.00014\n",
      "auditweights_userAge: -0.02461\n",
      "auditweights_userOwner_CREATE_COMMENT: 0.01076\n",
      "auditweights_userOwner_CREATE_IMAGE: -0.00437\n",
      "auditweights_userOwner_CREATE_LIKE: 0.10049\n",
      "auditweights_userOwner_IMAGE: 0.00195\n",
      "auditweights_userOwner_PHOTO_VIEW: -9e-05\n",
      "auditweights_userOwner_TEXT: 0.00107\n",
      "auditweights_userOwner_UNKNOWN: -0.01632\n",
      "auditweights_userOwner_USER_FEED_REMOVE: -0.0204\n",
      "auditweights_userOwner_VIDEO: -0.00641\n",
      "auditweights_x_ActorsRelations: 0.00165\n",
      "auditweights_svd: 0.27625\n",
      "auditweights_likersSvd_hyper: 0.04049\n",
      "hour: -0.01069\n"
     ]
    }
   ],
   "source": [
    "cols = [\n",
    "    'audit_pos',\n",
    "    'audit_timePassed',\n",
    "    'metadata_numCompanions',\n",
    "    'metadata_numPhotos',\n",
    "    'metadata_numSymbols',\n",
    "    'metadata_numTokens',\n",
    "    'metadata_totalVideoLength',\n",
    "    'userOwnerCounters_USER_FEED_REMOVE',\n",
    "    'userOwnerCounters_UNKNOWN',\n",
    "    'userOwnerCounters_CREATE_TOPIC',\n",
    "    'userOwnerCounters_CREATE_IMAGE',\n",
    "    'userOwnerCounters_CREATE_MOVIE',\n",
    "    'userOwnerCounters_CREATE_COMMENT',\n",
    "    'userOwnerCounters_CREATE_LIKE',\n",
    "    'userOwnerCounters_IMAGE',\n",
    "    'userOwnerCounters_VIDEO',\n",
    "    'auditweights_ageMs',\n",
    "    'auditweights_ctr_gender',\n",
    "    'auditweights_ctr_high',\n",
    "    'auditweights_ctr_negative',\n",
    "    'auditweights_dailyRecency',\n",
    "    'auditweights_feedOwner_RECOMMENDED_GROUP',\n",
    "    'auditweights_feedStats',\n",
    "    'auditweights_likersFeedStats_hyper',\n",
    "    'auditweights_numDislikes',\n",
    "    'auditweights_numLikes',\n",
    "    'auditweights_numShows',\n",
    "    'auditweights_userAge',\n",
    "    'auditweights_userOwner_CREATE_COMMENT',\n",
    "    'auditweights_userOwner_CREATE_IMAGE',\n",
    "    'auditweights_userOwner_CREATE_LIKE',\n",
    "    'auditweights_userOwner_IMAGE',\n",
    "    'auditweights_userOwner_PHOTO_VIEW',\n",
    "    'auditweights_userOwner_TEXT',\n",
    "    'auditweights_userOwner_UNKNOWN',\n",
    "    'auditweights_userOwner_USER_FEED_REMOVE',\n",
    "    'auditweights_userOwner_VIDEO',\n",
    "    'auditweights_x_ActorsRelations',\n",
    "    'auditweights_svd',\n",
    "    'auditweights_likersSvd_hyper',\n",
    "    'hour']\n",
    "\n",
    "for col in cols:\n",
    "    corr = df.stat.corr(col, \"liked\")\n",
    "    print(f'{col}:', round(corr,5))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": []
  }
 ],
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