sem03_eda/sem03_midyukin_930.ipynb

{
 "cells": [
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Работа с таблицами и визуализация"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 102,
   "metadata": {},
   "outputs": [],
   "source": [
    "import pandas as pd\n",
    "import numpy as np\n",
    "\n",
    "import matplotlib.pyplot as plt\n",
    "import seaborn as sns\n",
    "\n",
    "# зададим параметры рисуемых нами графиков, например, размер\n",
    "plt.rcParams['figure.figsize'] = (10, 5)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 150,
   "metadata": {},
   "outputs": [],
   "source": [
    "df = pd.read_csv('youtube_data_short.csv', sep='\\t')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "pandas.core.frame.DataFrame"
      ]
     },
     "execution_count": 7,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "type(df)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 9,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "Index(['title', 'commentCount', 'dislikeCount', 'likeCount', 'music_style',\n",
       "       'performer', 'viewCount', 'commentators_uniq', 'comments_obscene_cnt',\n",
       "       'video_age'],\n",
       "      dtype='object')"
      ]
     },
     "execution_count": 9,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df.columns"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 10,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "RangeIndex(start=0, stop=19124, step=1)"
      ]
     },
     "execution_count": 10,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df.index"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Что можно и нужно делать с таблицами"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### 1. Доставать часть данных"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "#### Типы данных\n",
    "\n",
    "- `int` – целые числа\n",
    "- `float` – вещественные числа\n",
    "- `object` – строки\n",
    "- `bool` – булевский\n",
    "- `date` – дата"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 15,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "pandas.core.series.Series"
      ]
     },
     "execution_count": 15,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "type(df['title'])"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 17,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "array(['\"#2Маши \"Свободные линии\"',\n",
       "       '\"ALARM\" СЕРГЕЙ ЛАЗАРЕВ ( SERGEY LAZAREV )',\n",
       "       '\"EARTH SONG\"  SERGEY LAZAREV. DEDICATED TO MICHAEL JACKSON ( Cover version)',\n",
       "       ..., \"モスクワライブショー ' 17\",\n",
       "       \"舞梅鬼   -  新年好宝贝 / Mumiy Troll - Happy New Year Baby (Fan's  Video)\",\n",
       "       '🎄#премьера песни!!! 2019г(вы не спешите говорит)группа.Бутырка.'],\n",
       "      dtype=object)"
      ]
     },
     "execution_count": 17,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df['title'].values"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 19,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "0                                \"#2Маши \"Свободные линии\"\n",
       "1                \"ALARM\" СЕРГЕЙ ЛАЗАРЕВ ( SERGEY LAZAREV )\n",
       "2        \"EARTH SONG\"  SERGEY LAZAREV. DEDICATED TO MIC...\n",
       "3                   \"Earth song\" премия МУЗ-тВ 2010 (LIVE)\n",
       "4                           \"FAKE\" СЕРГЕЙ ЛАЗАРЕВ (SERGEY)\n",
       "                               ...                        \n",
       "19119                  ♫♪Мы расстаемся ♫♪  Бутырка new2019\n",
       "19120    ❤ 2 ЧАСА ❤ МОЦАРТ Для Младенцев - Колыбельная ...\n",
       "19121                                      モスクワライブショー ' 17\n",
       "19122    舞梅鬼   -  新年好宝贝 / Mumiy Troll - Happy New Year ...\n",
       "19123    🎄#премьера песни!!! 2019г(вы не спешите говори...\n",
       "Name: title, Length: 19124, dtype: object"
      ]
     },
     "execution_count": 19,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df.title"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 23,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>title</th>\n",
       "      <th>commentCount</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>\"#2Маши \"Свободные линии\"</td>\n",
       "      <td>34.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>\"ALARM\" СЕРГЕЙ ЛАЗАРЕВ ( SERGEY LAZAREV )</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>\"EARTH SONG\"  SERGEY LAZAREV. DEDICATED TO MIC...</td>\n",
       "      <td>26.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>\"Earth song\" премия МУЗ-тВ 2010 (LIVE)</td>\n",
       "      <td>12.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>\"FAKE\" СЕРГЕЙ ЛАЗАРЕВ (SERGEY)</td>\n",
       "      <td>46.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>...</th>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>19119</th>\n",
       "      <td>♫♪Мы расстаемся ♫♪  Бутырка new2019</td>\n",
       "      <td>2.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>19120</th>\n",
       "      <td>❤ 2 ЧАСА ❤ МОЦАРТ Для Младенцев - Колыбельная ...</td>\n",
       "      <td>94.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>19121</th>\n",
       "      <td>モスクワライブショー ' 17</td>\n",
       "      <td>4872.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>19122</th>\n",
       "      <td>舞梅鬼   -  新年好宝贝 / Mumiy Troll - Happy New Year ...</td>\n",
       "      <td>59.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>19123</th>\n",
       "      <td>🎄#премьера песни!!! 2019г(вы не спешите говори...</td>\n",
       "      <td>1.0</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>19124 rows × 2 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "                                                   title  commentCount\n",
       "0                              \"#2Маши \"Свободные линии\"          34.0\n",
       "1              \"ALARM\" СЕРГЕЙ ЛАЗАРЕВ ( SERGEY LAZAREV )           NaN\n",
       "2      \"EARTH SONG\"  SERGEY LAZAREV. DEDICATED TO MIC...          26.0\n",
       "3                 \"Earth song\" премия МУЗ-тВ 2010 (LIVE)          12.0\n",
       "4                         \"FAKE\" СЕРГЕЙ ЛАЗАРЕВ (SERGEY)          46.0\n",
       "...                                                  ...           ...\n",
       "19119                ♫♪Мы расстаемся ♫♪  Бутырка new2019           2.0\n",
       "19120  ❤ 2 ЧАСА ❤ МОЦАРТ Для Младенцев - Колыбельная ...          94.0\n",
       "19121                                    モスクワライブショー ' 17        4872.0\n",
       "19122  舞梅鬼   -  新年好宝贝 / Mumiy Troll - Happy New Year ...          59.0\n",
       "19123  🎄#премьера песни!!! 2019г(вы не спешите говори...           1.0\n",
       "\n",
       "[19124 rows x 2 columns]"
      ]
     },
     "execution_count": 23,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "useful_cols = ['title', 'commentCount']\n",
    "df[useful_cols]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 24,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "34.0"
      ]
     },
     "execution_count": 24,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df.iloc[0, 1]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 26,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "34.0"
      ]
     },
     "execution_count": 26,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df.loc[0, 'commentCount']"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Хотим вытащить все клипы жанра попса."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 29,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "0         True\n",
       "1         True\n",
       "2         True\n",
       "3         True\n",
       "4         True\n",
       "         ...  \n",
       "19119    False\n",
       "19120    False\n",
       "19121    False\n",
       "19122    False\n",
       "19123    False\n",
       "Name: music_style, Length: 19124, dtype: bool"
      ]
     },
     "execution_count": 29,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df.music_style == 'popsa'"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 45,
   "metadata": {},
   "outputs": [],
   "source": [
    "df_popsa = df[df.music_style == 'popsa']"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 36,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "title                   тёлка из клипа-это я. iowa\n",
       "commentCount                                   106\n",
       "dislikeCount                                    59\n",
       "likeCount                                     1064\n",
       "music_style                                  popsa\n",
       "performer                                     iowa\n",
       "viewCount                                   222540\n",
       "commentators_uniq                               71\n",
       "comments_obscene_cnt                             0\n",
       "video_age                                     2577\n",
       "Name: 19110, dtype: object"
      ]
     },
     "execution_count": 36,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df_popsa.iloc[3338]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 38,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "title                   тёлка из клипа-это я. iowa\n",
       "commentCount                                   106\n",
       "dislikeCount                                    59\n",
       "likeCount                                     1064\n",
       "music_style                                  popsa\n",
       "performer                                     iowa\n",
       "viewCount                                   222540\n",
       "commentators_uniq                               71\n",
       "comments_obscene_cnt                             0\n",
       "video_age                                     2577\n",
       "Name: 19110, dtype: object"
      ]
     },
     "execution_count": 38,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df_popsa.loc[19110]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 42,
   "metadata": {},
   "outputs": [],
   "source": [
    "df_popsa.reset_index(drop=True, inplace=True)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### 2. Считать что-то над данными"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 47,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "1686810.0"
      ]
     },
     "execution_count": 47,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df.likeCount.max()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 48,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>title</th>\n",
       "      <th>commentCount</th>\n",
       "      <th>dislikeCount</th>\n",
       "      <th>likeCount</th>\n",
       "      <th>music_style</th>\n",
       "      <th>performer</th>\n",
       "      <th>viewCount</th>\n",
       "      <th>commentators_uniq</th>\n",
       "      <th>comments_obscene_cnt</th>\n",
       "      <th>video_age</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>18649</th>\n",
       "      <td>Элджей &amp; Feduk - Розовое вино</td>\n",
       "      <td>191702.0</td>\n",
       "      <td>151772.0</td>\n",
       "      <td>1686810.0</td>\n",
       "      <td>rap</td>\n",
       "      <td>feduk</td>\n",
       "      <td>208753182.0</td>\n",
       "      <td>3702.0</td>\n",
       "      <td>183.0</td>\n",
       "      <td>485</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "                               title  commentCount  dislikeCount  likeCount  \\\n",
       "18649  Элджей & Feduk - Розовое вино      191702.0      151772.0  1686810.0   \n",
       "\n",
       "      music_style performer    viewCount  commentators_uniq  \\\n",
       "18649         rap     feduk  208753182.0             3702.0   \n",
       "\n",
       "       comments_obscene_cnt  video_age  \n",
       "18649                 183.0        485  "
      ]
     },
     "execution_count": 48,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df[df.likeCount == df.likeCount.max()]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 59,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "'FACE - Я РОНЯЮ ЗАПАД (prod. by JuloOntheTrack)'"
      ]
     },
     "execution_count": 59,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df.loc[df.dislikeCount == df.dislikeCount.max(), 'title'].iloc[0]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 69,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "5.0"
      ]
     },
     "execution_count": 69,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df.commentCount.quantile(0.5)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 70,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "5.0"
      ]
     },
     "execution_count": 70,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df.commentCount.median()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 71,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "394.02606534841914"
      ]
     },
     "execution_count": 71,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df.commentCount.mean()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 72,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "7452609.0"
      ]
     },
     "execution_count": 72,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df.commentCount.sum()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 77,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "0        25\n",
       "1        41\n",
       "2        75\n",
       "3        38\n",
       "4        30\n",
       "         ..\n",
       "19119    35\n",
       "19120    88\n",
       "19121    15\n",
       "19122    65\n",
       "19123    63\n",
       "Name: title, Length: 19124, dtype: int64"
      ]
     },
     "execution_count": 77,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df.title.apply(len)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 79,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "0        \"#2\n",
       "1        \"AL\n",
       "2        \"EA\n",
       "3        \"Ea\n",
       "4        \"FA\n",
       "        ... \n",
       "19119    ♫♪М\n",
       "19120    ❤ 2\n",
       "19121    モスク\n",
       "19122    舞梅鬼\n",
       "19123    🎄#п\n",
       "Name: title, Length: 19124, dtype: object"
      ]
     },
     "execution_count": 79,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "def first_3_symbols(x):\n",
    "    return x[:3]\n",
    "\n",
    "\n",
    "df.title.apply(first_3_symbols)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 82,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "0        \"#2\n",
       "1        \"AL\n",
       "2        \"EA\n",
       "3        \"Ea\n",
       "4        \"FA\n",
       "        ... \n",
       "19119    ♫♪М\n",
       "19120    ❤ 2\n",
       "19121    モスク\n",
       "19122    舞梅鬼\n",
       "19123    🎄#п\n",
       "Name: title, Length: 19124, dtype: object"
      ]
     },
     "execution_count": 82,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df.title.apply(lambda x: x[:3])"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### 3. Создавать новые колонки"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 85,
   "metadata": {},
   "outputs": [],
   "source": [
    "df['dislike_share'] = df['dislikeCount'] / df['viewCount']"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 87,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>title</th>\n",
       "      <th>commentCount</th>\n",
       "      <th>dislikeCount</th>\n",
       "      <th>likeCount</th>\n",
       "      <th>music_style</th>\n",
       "      <th>performer</th>\n",
       "      <th>viewCount</th>\n",
       "      <th>commentators_uniq</th>\n",
       "      <th>comments_obscene_cnt</th>\n",
       "      <th>video_age</th>\n",
       "      <th>dislike_share</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "Empty DataFrame\n",
       "Columns: [title, commentCount, dislikeCount, likeCount, music_style, performer, viewCount, commentators_uniq, comments_obscene_cnt, video_age, dislike_share]\n",
       "Index: []"
      ]
     },
     "execution_count": 87,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df[df.dislike_share == 1]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 92,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>title</th>\n",
       "      <th>commentCount</th>\n",
       "      <th>dislikeCount</th>\n",
       "      <th>likeCount</th>\n",
       "      <th>music_style</th>\n",
       "      <th>performer</th>\n",
       "      <th>viewCount</th>\n",
       "      <th>commentators_uniq</th>\n",
       "      <th>comments_obscene_cnt</th>\n",
       "      <th>video_age</th>\n",
       "      <th>dislike_share</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>5378</th>\n",
       "      <td>Баста про пенсионную реформу</td>\n",
       "      <td>7290.0</td>\n",
       "      <td>13373.0</td>\n",
       "      <td>6839.0</td>\n",
       "      <td>rap</td>\n",
       "      <td>gazgolder</td>\n",
       "      <td>209934.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>27</td>\n",
       "      <td>0.063701</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1299</th>\n",
       "      <td>FACE - Я РОНЯЮ ЗАПАД (prod. by JuloOntheTrack)</td>\n",
       "      <td>303077.0</td>\n",
       "      <td>640698.0</td>\n",
       "      <td>270794.0</td>\n",
       "      <td>rap</td>\n",
       "      <td>face</td>\n",
       "      <td>14799217.0</td>\n",
       "      <td>1541.0</td>\n",
       "      <td>587.0</td>\n",
       "      <td>382</td>\n",
       "      <td>0.043293</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2421</th>\n",
       "      <td>Lil Dik - Ты не тру (Дисс на рэпера Сяву)</td>\n",
       "      <td>2395.0</td>\n",
       "      <td>20518.0</td>\n",
       "      <td>6132.0</td>\n",
       "      <td>rap</td>\n",
       "      <td>gazgolder</td>\n",
       "      <td>482455.0</td>\n",
       "      <td>1890.0</td>\n",
       "      <td>693.0</td>\n",
       "      <td>729</td>\n",
       "      <td>0.042528</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "                                               title  commentCount  \\\n",
       "5378                    Баста про пенсионную реформу        7290.0   \n",
       "1299  FACE - Я РОНЯЮ ЗАПАД (prod. by JuloOntheTrack)      303077.0   \n",
       "2421       Lil Dik - Ты не тру (Дисс на рэпера Сяву)        2395.0   \n",
       "\n",
       "      dislikeCount  likeCount music_style  performer   viewCount  \\\n",
       "5378       13373.0     6839.0         rap  gazgolder    209934.0   \n",
       "1299      640698.0   270794.0         rap       face  14799217.0   \n",
       "2421       20518.0     6132.0         rap  gazgolder    482455.0   \n",
       "\n",
       "      commentators_uniq  comments_obscene_cnt  video_age  dislike_share  \n",
       "5378                NaN                   NaN         27       0.063701  \n",
       "1299             1541.0                 587.0        382       0.043293  \n",
       "2421             1890.0                 693.0        729       0.042528  "
      ]
     },
     "execution_count": 92,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df[df.viewCount > 100_000].sort_values(by='dislike_share', ascending=False)[:3]"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### 4. Визуализация"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 103,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<AxesSubplot:>"
      ]
     },
     "execution_count": 103,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 720x360 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "df[df.likeCount > 10].likeCount.hist(bins=100)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 104,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<AxesSubplot:>"
      ]
     },
     "execution_count": 104,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": "iVBORw0KGgoAAAANSUhEUgAAAlsAAAE8CAYAAAD33HQOAAAAOXRFWHRTb2Z0d2FyZQBNYXRwbG90bGliIHZlcnNpb24zLjMuMiwgaHR0cHM6Ly9tYXRwbG90bGliLm9yZy8vihELAAAACXBIWXMAAAsTAAALEwEAmpwYAAAVdElEQVR4nO3dbYxm53kX8P9Vu67Ai5YXtwuyDZuyrsHYFNUjpw2ozCIom5qtoQrFxgq4crxKJfMpVCwSavmCCB/yJamjaimWVcn1ygQae+1NXQSsUloHOa6S2I5xZcxW3Rh5SZxOtcFScLn4MI/pZDPrPfNy7zPzzO8nrTznfs7Lfa559vi/5z4v1d0BAGCM75h3BwAAFpmwBQAwkLAFADCQsAUAMJCwBQAwkLAFADDQ1fPuQJJcd911ffDgwaHb+MY3vpFrr7126DYWiXpNp1bTqdV0ajWdWm2Mek13qVo9//zzX+3u7566nh0Rtg4ePJjPf/7zQ7dx5syZLC8vD93GIlGv6dRqOrWaTq2mU6uNUa/pLlWrqvrtjazHMCIAwEDCFgDAQHMNW1V1tKpOrKyszLMbAADDzDVsdfep7j62f//+eXYDAGAYw4gAAAMJWwAAAwlbAAADCVsAAAMJWwAAAwlbAAAD7YjX9VwJL3xlJfcdf/pb2s5+9M459QYA2Cuc2QIAGEjYAgAYSNgCABhI2AIAGEjYAgAYaEjYqqprq+r5qvpbI9YPALBbTApbVfVwVZ2vqhcvaj9SVa9U1atVdXzNR/8kyePb2VEAgN1o6pmtR5IcWdtQVVcleSjJ+5PckuSeqrqlqv56ki8neWMb+wkAsCtNeqhpd3+2qg5e1HxHkle7+7UkqaqTSe5Ksi/JtVkNYG9V1enu/r/b12UAgN2junvajKth66nuvnU2/YEkR7r7Q7PpDyZ5b3c/OJu+L8lXu/upS6zvWJJjSXLgwIHbT548ubU9uYzzb67kjbe+te226/cP3eZuduHChezbt2/e3dgV1Go6tZpOraZTq41Rr+kuVavDhw8/391LU9ezldf11Dpt/z+5dfcj77Zwd59IciJJlpaWenl5eQtdubxPPPpEPvbCt+7u2XvHbnM3O3PmTEb/ThaFWk2nVtOp1XRqtTHqNd121WordyOeS3Ljmukbkry+kRVU1dGqOrGysrKFbgAA7FxbCVvPJbmpqt5TVdckuTvJkxtZQXef6u5j+/cbzgMAFtPURz88luTZJDdX1bmqur+7307yYJJnkryc5PHufmlcVwEAdp+pdyPec4n200lOb3bjVXU0ydFDhw5tdhUAADvaXF/XYxgRAFh03o0IADCQsAUAMNBcw5ZHPwAAi841WwAAAxlGBAAYSNgCABjINVsAAAO5ZgsAYCDDiAAAAwlbAAADCVsAAAO5QB4AYCAXyAMADGQYEQBgIGELAGAgYQsAYCAXyAMADOQCeQCAgQwjAgAMJGwBAAwkbAEADCRsAQAMJGwBAAwkbAEADOQ5WwAAA3nOFgDAQIYRAQAGErYAAAYStgAABhK2AAAGErYAAAYStgAABhK2AAAGErYAAAbyBHkAgIE8QR4AYCDDiAAAAwlbAAADCVsAAAMJWwAAAwlbAAADCVsAAAMJWwAAAwlbAAADCVsAAAMJWwAAAwlbAAADCVsAAANte9iqqj9fVT9fVZ+qqp/a7vUDAOwmk8JWVT1cVeer6sWL2o9U1StV9WpVHU+S7n65uz+c5CeSLG1/lwEAdo+pZ7YeSXJkbUNVXZXkoSTvT3JLknuq6pbZZz+W5L8k+Y/b1lMAgF1oUtjq7s8mefOi5juSvNrdr3X3N5OcTHLXbP4nu/t9Se7dzs4CAOw21d3TZqw6mOSp7r51Nv2BJEe6+0Oz6Q8meW+STyX58STfleRL3f3QJdZ3LMmxJDlw4MDtJ0+e3NqeXMb5N1fyxlvf2nbb9fuHbnM3u3DhQvbt2zfvbuwKajWdWk2nVtOp1cao13SXqtXhw4ef7+7Jl0pdvYU+1Dpt3d1nkpy53MLdfSLJiSRZWlrq5eXlLXTl8j7x6BP52Avfurtn7x27zd3szJkzGf07WRRqNZ1aTadW06nVxqjXdNtVq63cjXguyY1rpm9I8vrWugMAsFi2EraeS3JTVb2nqq5JcneSJzeygqo6WlUnVlZWttANAICda+qjHx5L8mySm6vqXFXd391vJ3kwyTNJXk7yeHe/tJGNd/ep7j62f79rpwCAxTTpmq3uvucS7aeTnN7WHgEALJC5vq7HMCIAsOjmGrYMIwIAi86LqAEABjKMCAAwkGFEAICBDCMCAAwkbAEADOSaLQCAgVyzBQAwkGFEAICBhC0AgIGELQCAgVwgDwAwkAvkAQAGMowIADCQsAUAMJCwBQAwkLAFADCQuxEBAAa6ep4b7+5TSU4tLS09MI/tHzz+9LrtZz965xXuCQCwqAwjAgAMJGwBAAwkbAEADCRsAQAMJGwBAAzk0Q8AAAN5ETUAwECGEQEABhK2AAAGErYAAAYStgAABhK2AAAGErYAAAYStgAABhK2AAAGErYAAAbyuh4AgIG8rgcAYCDDiAAAAwlbAAADXT3vDuxEB48//W1tZz965xx6AgDsds5sAQAMJGwBAAwkbAEADCRsAQAMJGwBAAwkbAEADCRsAQAMJGwBAAwkbAEADDQkbFXV366qf11VT1TVj4zYBgDAbjA5bFXVw1V1vqpevKj9SFW9UlWvVtXxJOnuT3f3A0nuS/L3trXHAAC7yEbObD2S5Mjahqq6KslDSd6f5JYk91TVLWtm+WezzwEA9qTJYau7P5vkzYua70jyane/1t3fTHIyyV216l8l+Ux3/+b2dRcAYHep7p4+c9XBJE91962z6Q8kOdLdH5pNfzDJe5P8VpJ/mOS5JF/o7p9fZ13HkhxLkgMHDtx+8uTJre3JZZx/cyVvvLX55W+7fv/2dWYXuHDhQvbt2zfvbuwKajWdWk2nVtOp1cao13SXqtXhw4ef7+6lqeu5eov9qHXaurs/nuTj77Zgd59IciJJlpaWenl5eYtdeXefePSJfOyFze/u2XuXt68zu8CZM2cy+neyKNRqOrWaTq2mU6uNUa/ptqtWW70b8VySG9dM35Dk9akLV9XRqjqxsrKyxW4AAOxMWw1bzyW5qareU1XXJLk7yZNTF+7uU919bP/+vTVEBwDsHRt59MNjSZ5NcnNVnauq+7v77SQPJnkmyctJHu/ul8Z0FQBg95l8EVN333OJ9tNJTm9m41V1NMnRQ4cObWbxK+rg8ae/re3sR++cQ08AgN1krq/rMYwIACw670YEABhI2AIAGGiuYcujHwCARbfVh5puSXefSnJqaWnpgXn2Y7NcNA8AXI5hRACAgYQtAICBXLMFADCQ52wBAAxkGBEAYCBhCwBgINdsAQAM5JotAICBDCMCAAwkbAEADDTX1/UsIq/wAQDWcmYLAGAgdyMCAAzkbkQAgIEMIwIADCRsAQAMJGwBAAwkbAEADCRsAQAMJGwBAAzkOVsAAAPN9XU93X0qyamlpaUH5tmP0bzCBwD2LsOIAAADCVsAAAMJWwAAAwlbAAADCVsAAAMJWwAAA8310Q9cnsdGAMDuJmwtCKEMAHamuYatqjqa5OihQ4fm2Y0dY73ABADsbp4gPyeCFQDsDS6QBwAYSNgCABhI2AIAGEjYAgAYSNgCABhI2AIAGEjYAgAYyBPkdyHP6AKA3cOZLQCAgYQtAICBhC0AgIGELQCAgbY9bFXV91bVv6mqT233ugEAdptJYauqHq6q81X14kXtR6rqlap6taqOJ0l3v9bd94/oLADAbjP10Q+PJPm5JL/4TkNVXZXkoSR/I8m5JM9V1ZPd/eXt7iSbs94jIs5+9M459AQA9q5JZ7a6+7NJ3ryo+Y4kr87OZH0zyckkd21z/wAAdrXq7mkzVh1M8lR33zqb/kCSI939odn0B5O8N8nPJvkXWT3j9Qvd/S8vsb5jSY4lyYEDB24/efLk1vbkMs6/uZI33hq6iV3htuv3T5rvwoUL2bdv3+DeLAa1mk6tplOr6dRqY9RrukvV6vDhw89399LU9WzlCfK1Tlt399eSfPhyC3f3iSQnkmRpaamXl5e30JXL+8SjT+RjL3hg/tl7lyfNd+bMmYz+nSwKtZpOraZTq+nUamPUa7rtqtVW7kY8l+TGNdM3JHl9a90BAFgsWznV81ySm6rqPUm+kuTuJH9/IyuoqqNJjh46dGgL3WAjpl40/8JXVnKfC+wBYMumPvrhsSTPJrm5qs5V1f3d/XaSB5M8k+TlJI9390sb2Xh3n+ruY/v3T7uOCABgt5l0Zqu777lE++kkp7e1RwAAC2Sur+upqqNVdWJlZWWe3QAAGGauYcswIgCw6LyIGgBgoLk+eMrdiIvBa4EA4NIMIwIADGQYEQBgIGELAGAg12yx7jVXH7ltDh15F64LA2C3cs0WAMBAhhEBAAYStgAABhK2AAAGcoE8C8WF9ADsNC6QBwAYyDAiAMBAwhYAwEDCFgDAQMIWAMBA7kZkx1nvjkI2xl2ZADuHuxEBAAYyjAgAMJCwBQAwkLAFADCQsAUAMJCwBQAwkEc/sCEey7BqbR0+ctvbue/405MfrTD1sQxTa+2RDgA7m0c/AAAMZBgRAGAgYQsAYCBhCwBgIGELAGAgYQsAYCBhCwBgIGELAGAgYQsAYCBhCwBgIK/r4YqZ+pqaraxvK/Otx6twNm67f88Au53X9QAADGQYEQBgIGELAGAgYQsAYCBhCwBgIGELAGAgYQsAYCBhCwBgIGELAGAgYQsAYCBhCwBgIGELAGAgYQsAYKCrt3uFVXVtkk8m+WaSM9396HZvAwBgt5h0ZquqHq6q81X14kXtR6rqlap6taqOz5p/PMmnuvuBJD+2zf0FANhVpg4jPpLkyNqGqroqyUNJ3p/kliT3VNUtSW5I8juz2X5/e7oJALA7VXdPm7HqYJKnuvvW2fQPJfnn3f03Z9P/dDbruSRf7+6nqupkd999ifUdS3IsSQ4cOHD7yZMnt7Qjl3P+zZW88dbQTSyUA38o6jXRO7W67fr93/bZC19ZmbSOrSw71XrbWM92b3ettd+rqf2Zaiu13okuXLiQffv2bXi59epwJfZ5XttNptdqnn3cSTb73dqJRv9OL1Wrw4cPP9/dS1PXs5Vrtq7PH5zBSlZD1nuTfDzJz1XVnUlOXWrh7j6R5ESSLC0t9fLy8ha6cnmfePSJfOyFbb9EbWF95La31Wuid2p19t7lb/vsvuNPT1rHVpadar1trGe7t7vW2u/V1P5MtZVa70RnzpzJZo6L69XhSuzzvLabTK/VPPu4k2z2u7UTjf6dblettvJ/01qnrbv7G0l+cgvrBQBYGFt59MO5JDeumb4hyesbWUFVHa2qEysr44YtAADmaSth67kkN1XVe6rqmiR3J3lyIyvo7lPdfWz//r03Zg4A7A1TH/3wWJJnk9xcVeeq6v7ufjvJg0meSfJykse7+6VxXQUA2H0mXbPV3fdcov10ktOb3XhVHU1y9NChQ5tdBQDAjjbX1/UYRgQAFp13IwIADCRsAQAMNNew5dEPAMCic80WAMBAhhEBAAaa/CLqoZ2o+l9JfnvwZq5L8tXB21gk6jWdWk2nVtOp1XRqtTHqNd2lavVnuvu7p65kR4StK6GqPr+RN3Tvdeo1nVpNp1bTqdV0arUx6jXddtXKMCIAwEDCFgDAQHspbJ2Ydwd2GfWaTq2mU6vp1Go6tdoY9ZpuW2q1Z67ZAgCYh710ZgsA4IpbiLBVVUeq6pWqerWqjq/zeVXVx2eff6mqfmDqsotmQq3undXoS1X1G1X1/Ws+O1tVL1TVF6rq81e251fehFotV9XKrB5fqKqfmbrsoplQq59eU6cXq+r3q+qPzz7ba9+rh6vqfFW9eInPHa9mJtTK8WpmQq0cr9aYUK/tPWZ1967+k+SqJP89yfcmuSbJF5PcctE8P5rkM0kqyQ8m+a9Tl12kPxNr9b4kf2z28/vfqdVs+myS6+a9HzuoVstJntrMsov0Z6P7m+Rokv+0F79Xs/394SQ/kOTFS3zueDW9Vo5X02vleLWBel0075aPWYtwZuuOJK9292vd/c0kJ5PcddE8dyX5xV71uSR/tKr+1MRlF8ll97e7f6O7vz6b/FySG65wH3eKrXw3fK/efX/vSfLYFenZDtTdn03y5rvM4ng1c7laOV79gQnfq0vZc9+rZMP12vIxaxHC1vVJfmfN9LlZ25R5piy7SDa6v/dn9V/Y7+gkv1pVz1fVsQH920mm1uqHquqLVfWZqvoLG1x2UUze36r6w0mOJPl3a5r30vdqCserzdnLx6upHK82aLuOWVeP6NwVVuu0XXyL5aXmmbLsIpm8v1V1OKsHr7+ypvkvd/frVfU9Sf5DVf232b8OFtGUWv1mVl/ZcKGqfjTJp5PcNHHZRbKR/T2a5Ne7e+2/KPfS92oKx6sNcryaxPFqc7blmLUIZ7bOJblxzfQNSV6fOM+UZRfJpP2tqr+Y5BeS3NXdX3unvbtfn/33fJJfzurp50V12Vp19+9194XZz6eTfGdVXTdl2QWzkf29Oxedjt9j36spHK82wPFqGserTduWY9YihK3nktxUVe+pqmuyWpgnL5rnyST/YHaXzw8mWenu/zlx2UVy2f2tqj+d5N8n+WB3/9aa9mur6o+883OSH0my7l0cC2JKrf5kVdXs5zuy+vfpa1OWXTCT9req9if5q0meWNO2175XUzheTeR4NZ3j1cZt5zFr1w8jdvfbVfVgkmeyelfFw939UlV9ePb5zyc5ndU7fF5N8r+T/OS7LTuH3bgiJtbqZ5L8iSSfnP29fLtXX8J5IMkvz9quTvJL3f0rc9iNK2JirT6Q5Keq6u0kbyW5u1dvVfG9+vZaJcnfSfKr3f2NNYvvqe9VklTVY1m9M+y6qjqX5GeTfGfieHWxCbVyvJqZUCvHqzUm1CvZxmOWJ8gDAAy0CMOIAAA7lrAFADCQsAUAMJCwBQAwkLAFAOwJdZkXUK8z/09U1Zer6qWq+qVNb9fdiADAXlBVP5zkQlbfP3rrZea9KcnjSf5ad3+9qr5n9iDTDXNmCwDYE9Z7AXVV/dmq+pXZuw5/rar+3OyjB5I89M7LzjcbtBJhCwDY204k+UfdfXuSf5zkk7P270vyfVX161X1uao6stkN7PonyAMAbEZV7UvyviT/dvZU+CT5rtl/r87qy7qXs/rOyF+rqlu7+3c3uh1hCwDYq74jye92919a57NzST7X3f8nyf+oqleyGr6e28xGAAD2nO7+vawGqb+bJLMXwH//7ONPJzk8a78uq8OKr21mO8IWALAnzF5A/WySm6vqXFXdn+TeJPdX1ReTvJTkrtnszyT5WlV9Ocl/TvLT3f21TW3Xox8AAMZxZgsAYCBhCwBgIGELAGAgYQsAYCBhCwBgIGELAGAgYQsAYCBhCwBgoP8HO9Mwk6tgu/sAAAAASUVORK5CYII=\n",
      "text/plain": [
       "<Figure size 720x360 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "df[df.likeCount > 10].likeCount.hist(bins=100, log=True)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 107,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "<class 'pandas.core.frame.DataFrame'>\n",
      "RangeIndex: 19124 entries, 0 to 19123\n",
      "Data columns (total 11 columns):\n",
      " #   Column                Non-Null Count  Dtype  \n",
      "---  ------                --------------  -----  \n",
      " 0   title                 19124 non-null  object \n",
      " 1   commentCount          18914 non-null  float64\n",
      " 2   dislikeCount          18850 non-null  float64\n",
      " 3   likeCount             18850 non-null  float64\n",
      " 4   music_style           19124 non-null  object \n",
      " 5   performer             19124 non-null  object \n",
      " 6   viewCount             19123 non-null  float64\n",
      " 7   commentators_uniq     12314 non-null  float64\n",
      " 8   comments_obscene_cnt  12314 non-null  float64\n",
      " 9   video_age             19124 non-null  int64  \n",
      " 10  dislike_share         18849 non-null  float64\n",
      "dtypes: float64(7), int64(1), object(3)\n",
      "memory usage: 1.6+ MB\n"
     ]
    }
   ],
   "source": [
    "df.info()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 116,
   "metadata": {},
   "outputs": [],
   "source": [
    "df['log_likeCount'] = df['likeCount'].apply(lambda x: np.log(x+1))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 117,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<AxesSubplot:xlabel='music_style', ylabel='log_likeCount'>"
      ]
     },
     "execution_count": 117,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 720x360 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "sns.boxplot(data=df, x='music_style', y='log_likeCount')"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### 5. Группировка данных"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 119,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "640698.0"
      ]
     },
     "execution_count": 119,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df.dislikeCount.max()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 130,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "music_style\n",
       "classic    28663.333333\n",
       "rap        26802.456253\n",
       "popsa       7492.273792\n",
       "indi        2471.842299\n",
       "rock        2132.887061\n",
       "estrada      938.686662\n",
       "shanson      440.390564\n",
       "Name: likeCount, dtype: float64"
      ]
     },
     "execution_count": 130,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df.groupby('music_style')['likeCount'].mean().sort_values(ascending=False)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 133,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>likeCount</th>\n",
       "      <th>dislikeCount</th>\n",
       "      <th>title</th>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>music_style</th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>classic</th>\n",
       "      <td>8513010.0</td>\n",
       "      <td>1236.228956</td>\n",
       "      <td>298</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>estrada</th>\n",
       "      <td>3708751.0</td>\n",
       "      <td>173.565933</td>\n",
       "      <td>4151</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>indi</th>\n",
       "      <td>3354290.0</td>\n",
       "      <td>220.419307</td>\n",
       "      <td>1359</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>popsa</th>\n",
       "      <td>24956764.0</td>\n",
       "      <td>790.161513</td>\n",
       "      <td>3339</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>rap</th>\n",
       "      <td>54221369.0</td>\n",
       "      <td>4099.575383</td>\n",
       "      <td>2028</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>rock</th>\n",
       "      <td>12445396.0</td>\n",
       "      <td>287.698201</td>\n",
       "      <td>5888</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>shanson</th>\n",
       "      <td>905443.0</td>\n",
       "      <td>45.488327</td>\n",
       "      <td>2061</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "              likeCount  dislikeCount  title\n",
       "music_style                                 \n",
       "classic       8513010.0   1236.228956    298\n",
       "estrada       3708751.0    173.565933   4151\n",
       "indi          3354290.0    220.419307   1359\n",
       "popsa        24956764.0    790.161513   3339\n",
       "rap          54221369.0   4099.575383   2028\n",
       "rock         12445396.0    287.698201   5888\n",
       "shanson        905443.0     45.488327   2061"
      ]
     },
     "execution_count": 133,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "d = {'likeCount': np.sum,\n",
    "     'dislikeCount': np.mean,\n",
    "     'title': len}\n",
    "\n",
    "df.groupby('music_style').agg(d)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 135,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
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       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th>likeCount</th>\n",
       "      <th>dislikeCount</th>\n",
       "      <th>title</th>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>music_style</th>\n",
       "      <th>performer</th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>classic</th>\n",
       "      <th>classical_channel</th>\n",
       "      <td>8513010.0</td>\n",
       "      <td>1236.228956</td>\n",
       "      <td>298</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th rowspan=\"4\" valign=\"top\">estrada</th>\n",
       "      <th>агутин</th>\n",
       "      <td>118.0</td>\n",
       "      <td>4.666667</td>\n",
       "      <td>3</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>басков</th>\n",
       "      <td>193092.0</td>\n",
       "      <td>233.270492</td>\n",
       "      <td>122</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>буйнов</th>\n",
       "      <td>123.0</td>\n",
       "      <td>0.727273</td>\n",
       "      <td>44</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>ваенга</th>\n",
       "      <td>67288.0</td>\n",
       "      <td>9.310139</td>\n",
       "      <td>503</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>...</th>\n",
       "      <th>...</th>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th rowspan=\"5\" valign=\"top\">shanson</th>\n",
       "      <th>жека</th>\n",
       "      <td>69784.0</td>\n",
       "      <td>49.702899</td>\n",
       "      <td>138</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>ирина_круг</th>\n",
       "      <td>159637.0</td>\n",
       "      <td>185.847619</td>\n",
       "      <td>105</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>михаил_круг</th>\n",
       "      <td>202784.0</td>\n",
       "      <td>44.216495</td>\n",
       "      <td>487</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>трофимов</th>\n",
       "      <td>58663.0</td>\n",
       "      <td>15.478448</td>\n",
       "      <td>232</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>шуфутинский</th>\n",
       "      <td>123925.0</td>\n",
       "      <td>17.040346</td>\n",
       "      <td>349</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>111 rows × 3 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "                               likeCount  dislikeCount  title\n",
       "music_style performer                                        \n",
       "classic     classical_channel  8513010.0   1236.228956    298\n",
       "estrada     агутин                 118.0      4.666667      3\n",
       "            басков              193092.0    233.270492    122\n",
       "            буйнов                 123.0      0.727273     44\n",
       "            ваенга               67288.0      9.310139    503\n",
       "...                                  ...           ...    ...\n",
       "shanson     жека                 69784.0     49.702899    138\n",
       "            ирина_круг          159637.0    185.847619    105\n",
       "            михаил_круг         202784.0     44.216495    487\n",
       "            трофимов             58663.0     15.478448    232\n",
       "            шуфутинский         123925.0     17.040346    349\n",
       "\n",
       "[111 rows x 3 columns]"
      ]
     },
     "execution_count": 135,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df.groupby(['music_style', 'performer']).agg(d)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### 6. Чистка данных"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "#### Пропуски"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 139,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "<class 'pandas.core.frame.DataFrame'>\n",
      "RangeIndex: 19124 entries, 0 to 19123\n",
      "Data columns (total 13 columns):\n",
      " #   Column                Non-Null Count  Dtype  \n",
      "---  ------                --------------  -----  \n",
      " 0   title                 19124 non-null  object \n",
      " 1   commentCount          18914 non-null  float64\n",
      " 2   dislikeCount          18850 non-null  float64\n",
      " 3   likeCount             18850 non-null  float64\n",
      " 4   music_style           19124 non-null  object \n",
      " 5   performer             19124 non-null  object \n",
      " 6   viewCount             19123 non-null  float64\n",
      " 7   commentators_uniq     12314 non-null  float64\n",
      " 8   comments_obscene_cnt  12314 non-null  float64\n",
      " 9   video_age             19124 non-null  int64  \n",
      " 10  dislike_share         18849 non-null  float64\n",
      " 11  log_dislikeCount      18850 non-null  float64\n",
      " 12  log_likeCount         18850 non-null  float64\n",
      "dtypes: float64(9), int64(1), object(3)\n",
      "memory usage: 1.9+ MB\n"
     ]
    }
   ],
   "source": [
    "df.info()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 140,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "title                      0\n",
       "commentCount             210\n",
       "dislikeCount             274\n",
       "likeCount                274\n",
       "music_style                0\n",
       "performer                  0\n",
       "viewCount                  1\n",
       "commentators_uniq       6810\n",
       "comments_obscene_cnt    6810\n",
       "video_age                  0\n",
       "dislike_share            275\n",
       "log_dislikeCount         274\n",
       "log_likeCount            274\n",
       "dtype: int64"
      ]
     },
     "execution_count": 140,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df.isnull().sum()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 142,
   "metadata": {},
   "outputs": [
    {
     "data": {
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       "      <th>log_likeCount</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>\"#2Маши \"Свободные линии\"</td>\n",
       "      <td>34.0</td>\n",
       "      <td>43.0</td>\n",
       "      <td>1402.0</td>\n",
       "      <td>popsa</td>\n",
       "      <td>2маши</td>\n",
       "      <td>214301.0</td>\n",
       "      <td>24.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1141</td>\n",
       "      <td>0.000201</td>\n",
       "      <td>3.784190</td>\n",
       "      <td>7.246368</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>\"ALARM\" СЕРГЕЙ ЛАЗАРЕВ ( SERGEY LAZAREV )</td>\n",
       "      <td>0.0</td>\n",
       "      <td>690.0</td>\n",
       "      <td>10532.0</td>\n",
       "      <td>popsa</td>\n",
       "      <td>лазарев</td>\n",
       "      <td>2221419.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>3217</td>\n",
       "      <td>0.000311</td>\n",
       "      <td>6.538140</td>\n",
       "      <td>9.262268</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>\"EARTH SONG\"  SERGEY LAZAREV. DEDICATED TO MIC...</td>\n",
       "      <td>26.0</td>\n",
       "      <td>10.0</td>\n",
       "      <td>269.0</td>\n",
       "      <td>popsa</td>\n",
       "      <td>лазарев</td>\n",
       "      <td>40327.0</td>\n",
       "      <td>23.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>3546</td>\n",
       "      <td>0.000248</td>\n",
       "      <td>2.397895</td>\n",
       "      <td>5.598422</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>\"Earth song\" премия МУЗ-тВ 2010 (LIVE)</td>\n",
       "      <td>12.0</td>\n",
       "      <td>7.0</td>\n",
       "      <td>163.0</td>\n",
       "      <td>popsa</td>\n",
       "      <td>лазарев</td>\n",
       "      <td>11907.0</td>\n",
       "      <td>11.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>3189</td>\n",
       "      <td>0.000588</td>\n",
       "      <td>2.079442</td>\n",
       "      <td>5.099866</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>\"FAKE\" СЕРГЕЙ ЛАЗАРЕВ (SERGEY)</td>\n",
       "      <td>46.0</td>\n",
       "      <td>19.0</td>\n",
       "      <td>597.0</td>\n",
       "      <td>popsa</td>\n",
       "      <td>лазарев</td>\n",
       "      <td>91483.0</td>\n",
       "      <td>33.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>3361</td>\n",
       "      <td>0.000208</td>\n",
       "      <td>2.995732</td>\n",
       "      <td>6.393591</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>...</th>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>19119</th>\n",
       "      <td>♫♪Мы расстаемся ♫♪  Бутырка new2019</td>\n",
       "      <td>2.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>11.0</td>\n",
       "      <td>shanson</td>\n",
       "      <td>бутырка</td>\n",
       "      <td>1107.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>44</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>2.484907</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>19120</th>\n",
       "      <td>❤ 2 ЧАСА ❤ МОЦАРТ Для Младенцев - Колыбельная ...</td>\n",
       "      <td>94.0</td>\n",
       "      <td>431.0</td>\n",
       "      <td>1837.0</td>\n",
       "      <td>classic</td>\n",
       "      <td>classical_channel</td>\n",
       "      <td>391836.0</td>\n",
       "      <td>37.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>239</td>\n",
       "      <td>0.001100</td>\n",
       "      <td>6.068426</td>\n",
       "      <td>7.516433</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>19121</th>\n",
       "      <td>モスクワライブショー ' 17</td>\n",
       "      <td>4872.0</td>\n",
       "      <td>15494.0</td>\n",
       "      <td>30603.0</td>\n",
       "      <td>rap</td>\n",
       "      <td>элджей</td>\n",
       "      <td>1187340.0</td>\n",
       "      <td>1788.0</td>\n",
       "      <td>352.0</td>\n",
       "      <td>339</td>\n",
       "      <td>0.013049</td>\n",
       "      <td>9.648273</td>\n",
       "      <td>10.328886</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>19122</th>\n",
       "      <td>舞梅鬼   -  新年好宝贝 / Mumiy Troll - Happy New Year ...</td>\n",
       "      <td>59.0</td>\n",
       "      <td>10.0</td>\n",
       "      <td>260.0</td>\n",
       "      <td>rock</td>\n",
       "      <td>мумий_тролль</td>\n",
       "      <td>10147.0</td>\n",
       "      <td>19.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>997</td>\n",
       "      <td>0.000986</td>\n",
       "      <td>2.397895</td>\n",
       "      <td>5.564520</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>19123</th>\n",
       "      <td>🎄#премьера песни!!! 2019г(вы не спешите говори...</td>\n",
       "      <td>1.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>22.0</td>\n",
       "      <td>shanson</td>\n",
       "      <td>бутырка</td>\n",
       "      <td>1566.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>65</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>3.135494</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>19124 rows × 13 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "                                                   title  commentCount  \\\n",
       "0                              \"#2Маши \"Свободные линии\"          34.0   \n",
       "1              \"ALARM\" СЕРГЕЙ ЛАЗАРЕВ ( SERGEY LAZAREV )           0.0   \n",
       "2      \"EARTH SONG\"  SERGEY LAZAREV. DEDICATED TO MIC...          26.0   \n",
       "3                 \"Earth song\" премия МУЗ-тВ 2010 (LIVE)          12.0   \n",
       "4                         \"FAKE\" СЕРГЕЙ ЛАЗАРЕВ (SERGEY)          46.0   \n",
       "...                                                  ...           ...   \n",
       "19119                ♫♪Мы расстаемся ♫♪  Бутырка new2019           2.0   \n",
       "19120  ❤ 2 ЧАСА ❤ МОЦАРТ Для Младенцев - Колыбельная ...          94.0   \n",
       "19121                                    モスクワライブショー ' 17        4872.0   \n",
       "19122  舞梅鬼   -  新年好宝贝 / Mumiy Troll - Happy New Year ...          59.0   \n",
       "19123  🎄#премьера песни!!! 2019г(вы не спешите говори...           1.0   \n",
       "\n",
       "       dislikeCount  likeCount music_style          performer  viewCount  \\\n",
       "0              43.0     1402.0       popsa              2маши   214301.0   \n",
       "1             690.0    10532.0       popsa            лазарев  2221419.0   \n",
       "2              10.0      269.0       popsa            лазарев    40327.0   \n",
       "3               7.0      163.0       popsa            лазарев    11907.0   \n",
       "4              19.0      597.0       popsa            лазарев    91483.0   \n",
       "...             ...        ...         ...                ...        ...   \n",
       "19119           0.0       11.0     shanson            бутырка     1107.0   \n",
       "19120         431.0     1837.0     classic  classical_channel   391836.0   \n",
       "19121       15494.0    30603.0         rap             элджей  1187340.0   \n",
       "19122          10.0      260.0        rock       мумий_тролль    10147.0   \n",
       "19123           0.0       22.0     shanson            бутырка     1566.0   \n",
       "\n",
       "       commentators_uniq  comments_obscene_cnt  video_age  dislike_share  \\\n",
       "0                   24.0                   0.0       1141       0.000201   \n",
       "1                    0.0                   0.0       3217       0.000311   \n",
       "2                   23.0                   0.0       3546       0.000248   \n",
       "3                   11.0                   0.0       3189       0.000588   \n",
       "4                   33.0                   1.0       3361       0.000208   \n",
       "...                  ...                   ...        ...            ...   \n",
       "19119                0.0                   0.0         44       0.000000   \n",
       "19120               37.0                   1.0        239       0.001100   \n",
       "19121             1788.0                 352.0        339       0.013049   \n",
       "19122               19.0                   0.0        997       0.000986   \n",
       "19123                0.0                   0.0         65       0.000000   \n",
       "\n",
       "       log_dislikeCount  log_likeCount  \n",
       "0              3.784190       7.246368  \n",
       "1              6.538140       9.262268  \n",
       "2              2.397895       5.598422  \n",
       "3              2.079442       5.099866  \n",
       "4              2.995732       6.393591  \n",
       "...                 ...            ...  \n",
       "19119          0.000000       2.484907  \n",
       "19120          6.068426       7.516433  \n",
       "19121          9.648273      10.328886  \n",
       "19122          2.397895       5.564520  \n",
       "19123          0.000000       3.135494  \n",
       "\n",
       "[19124 rows x 13 columns]"
      ]
     },
     "execution_count": 142,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df.fillna(0)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 143,
   "metadata": {},
   "outputs": [
    {
     "data": {
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       "    .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>title</th>\n",
       "      <th>commentCount</th>\n",
       "      <th>dislikeCount</th>\n",
       "      <th>likeCount</th>\n",
       "      <th>music_style</th>\n",
       "      <th>performer</th>\n",
       "      <th>viewCount</th>\n",
       "      <th>commentators_uniq</th>\n",
       "      <th>comments_obscene_cnt</th>\n",
       "      <th>video_age</th>\n",
       "      <th>dislike_share</th>\n",
       "      <th>log_dislikeCount</th>\n",
       "      <th>log_likeCount</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>\"#2Маши \"Свободные линии\"</td>\n",
       "      <td>34.0</td>\n",
       "      <td>43.0</td>\n",
       "      <td>1402.0</td>\n",
       "      <td>popsa</td>\n",
       "      <td>2маши</td>\n",
       "      <td>214301.0</td>\n",
       "      <td>24.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1141</td>\n",
       "      <td>0.000201</td>\n",
       "      <td>3.784190</td>\n",
       "      <td>7.246368</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>\"EARTH SONG\"  SERGEY LAZAREV. DEDICATED TO MIC...</td>\n",
       "      <td>26.0</td>\n",
       "      <td>10.0</td>\n",
       "      <td>269.0</td>\n",
       "      <td>popsa</td>\n",
       "      <td>лазарев</td>\n",
       "      <td>40327.0</td>\n",
       "      <td>23.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>3546</td>\n",
       "      <td>0.000248</td>\n",
       "      <td>2.397895</td>\n",
       "      <td>5.598422</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>\"Earth song\" премия МУЗ-тВ 2010 (LIVE)</td>\n",
       "      <td>12.0</td>\n",
       "      <td>7.0</td>\n",
       "      <td>163.0</td>\n",
       "      <td>popsa</td>\n",
       "      <td>лазарев</td>\n",
       "      <td>11907.0</td>\n",
       "      <td>11.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>3189</td>\n",
       "      <td>0.000588</td>\n",
       "      <td>2.079442</td>\n",
       "      <td>5.099866</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>\"FAKE\" СЕРГЕЙ ЛАЗАРЕВ (SERGEY)</td>\n",
       "      <td>46.0</td>\n",
       "      <td>19.0</td>\n",
       "      <td>597.0</td>\n",
       "      <td>popsa</td>\n",
       "      <td>лазарев</td>\n",
       "      <td>91483.0</td>\n",
       "      <td>33.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>3361</td>\n",
       "      <td>0.000208</td>\n",
       "      <td>2.995732</td>\n",
       "      <td>6.393591</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>5</th>\n",
       "      <td>\"Feelin High\" Сергей Лазарев Sergey Lazarev live</td>\n",
       "      <td>7.0</td>\n",
       "      <td>7.0</td>\n",
       "      <td>87.0</td>\n",
       "      <td>popsa</td>\n",
       "      <td>лазарев</td>\n",
       "      <td>9217.0</td>\n",
       "      <td>6.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>3179</td>\n",
       "      <td>0.000759</td>\n",
       "      <td>2.079442</td>\n",
       "      <td>4.477337</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>...</th>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>19116</th>\n",
       "      <td>♫ Музыка Моцарта для детей (Mozart's music for...</td>\n",
       "      <td>41.0</td>\n",
       "      <td>142.0</td>\n",
       "      <td>914.0</td>\n",
       "      <td>classic</td>\n",
       "      <td>classical_channel</td>\n",
       "      <td>308721.0</td>\n",
       "      <td>22.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1748</td>\n",
       "      <td>0.000460</td>\n",
       "      <td>4.962845</td>\n",
       "      <td>6.818924</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>19117</th>\n",
       "      <td>♫♡ Сборник Лучших Мелодий - Наслаждайтесь Восх...</td>\n",
       "      <td>2881.0</td>\n",
       "      <td>4108.0</td>\n",
       "      <td>58429.0</td>\n",
       "      <td>classic</td>\n",
       "      <td>classical_channel</td>\n",
       "      <td>9577433.0</td>\n",
       "      <td>1696.0</td>\n",
       "      <td>5.0</td>\n",
       "      <td>538</td>\n",
       "      <td>0.000429</td>\n",
       "      <td>8.320935</td>\n",
       "      <td>10.975585</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>19120</th>\n",
       "      <td>❤ 2 ЧАСА ❤ МОЦАРТ Для Младенцев - Колыбельная ...</td>\n",
       "      <td>94.0</td>\n",
       "      <td>431.0</td>\n",
       "      <td>1837.0</td>\n",
       "      <td>classic</td>\n",
       "      <td>classical_channel</td>\n",
       "      <td>391836.0</td>\n",
       "      <td>37.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>239</td>\n",
       "      <td>0.001100</td>\n",
       "      <td>6.068426</td>\n",
       "      <td>7.516433</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>19121</th>\n",
       "      <td>モスクワライブショー ' 17</td>\n",
       "      <td>4872.0</td>\n",
       "      <td>15494.0</td>\n",
       "      <td>30603.0</td>\n",
       "      <td>rap</td>\n",
       "      <td>элджей</td>\n",
       "      <td>1187340.0</td>\n",
       "      <td>1788.0</td>\n",
       "      <td>352.0</td>\n",
       "      <td>339</td>\n",
       "      <td>0.013049</td>\n",
       "      <td>9.648273</td>\n",
       "      <td>10.328886</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>19122</th>\n",
       "      <td>舞梅鬼   -  新年好宝贝 / Mumiy Troll - Happy New Year ...</td>\n",
       "      <td>59.0</td>\n",
       "      <td>10.0</td>\n",
       "      <td>260.0</td>\n",
       "      <td>rock</td>\n",
       "      <td>мумий_тролль</td>\n",
       "      <td>10147.0</td>\n",
       "      <td>19.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>997</td>\n",
       "      <td>0.000986</td>\n",
       "      <td>2.397895</td>\n",
       "      <td>5.564520</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>12116 rows × 13 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "                                                   title  commentCount  \\\n",
       "0                              \"#2Маши \"Свободные линии\"          34.0   \n",
       "2      \"EARTH SONG\"  SERGEY LAZAREV. DEDICATED TO MIC...          26.0   \n",
       "3                 \"Earth song\" премия МУЗ-тВ 2010 (LIVE)          12.0   \n",
       "4                         \"FAKE\" СЕРГЕЙ ЛАЗАРЕВ (SERGEY)          46.0   \n",
       "5       \"Feelin High\" Сергей Лазарев Sergey Lazarev live           7.0   \n",
       "...                                                  ...           ...   \n",
       "19116  ♫ Музыка Моцарта для детей (Mozart's music for...          41.0   \n",
       "19117  ♫♡ Сборник Лучших Мелодий - Наслаждайтесь Восх...        2881.0   \n",
       "19120  ❤ 2 ЧАСА ❤ МОЦАРТ Для Младенцев - Колыбельная ...          94.0   \n",
       "19121                                    モスクワライブショー ' 17        4872.0   \n",
       "19122  舞梅鬼   -  新年好宝贝 / Mumiy Troll - Happy New Year ...          59.0   \n",
       "\n",
       "       dislikeCount  likeCount music_style          performer  viewCount  \\\n",
       "0              43.0     1402.0       popsa              2маши   214301.0   \n",
       "2              10.0      269.0       popsa            лазарев    40327.0   \n",
       "3               7.0      163.0       popsa            лазарев    11907.0   \n",
       "4              19.0      597.0       popsa            лазарев    91483.0   \n",
       "5               7.0       87.0       popsa            лазарев     9217.0   \n",
       "...             ...        ...         ...                ...        ...   \n",
       "19116         142.0      914.0     classic  classical_channel   308721.0   \n",
       "19117        4108.0    58429.0     classic  classical_channel  9577433.0   \n",
       "19120         431.0     1837.0     classic  classical_channel   391836.0   \n",
       "19121       15494.0    30603.0         rap             элджей  1187340.0   \n",
       "19122          10.0      260.0        rock       мумий_тролль    10147.0   \n",
       "\n",
       "       commentators_uniq  comments_obscene_cnt  video_age  dislike_share  \\\n",
       "0                   24.0                   0.0       1141       0.000201   \n",
       "2                   23.0                   0.0       3546       0.000248   \n",
       "3                   11.0                   0.0       3189       0.000588   \n",
       "4                   33.0                   1.0       3361       0.000208   \n",
       "5                    6.0                   0.0       3179       0.000759   \n",
       "...                  ...                   ...        ...            ...   \n",
       "19116               22.0                   0.0       1748       0.000460   \n",
       "19117             1696.0                   5.0        538       0.000429   \n",
       "19120               37.0                   1.0        239       0.001100   \n",
       "19121             1788.0                 352.0        339       0.013049   \n",
       "19122               19.0                   0.0        997       0.000986   \n",
       "\n",
       "       log_dislikeCount  log_likeCount  \n",
       "0              3.784190       7.246368  \n",
       "2              2.397895       5.598422  \n",
       "3              2.079442       5.099866  \n",
       "4              2.995732       6.393591  \n",
       "5              2.079442       4.477337  \n",
       "...                 ...            ...  \n",
       "19116          4.962845       6.818924  \n",
       "19117          8.320935      10.975585  \n",
       "19120          6.068426       7.516433  \n",
       "19121          9.648273      10.328886  \n",
       "19122          2.397895       5.564520  \n",
       "\n",
       "[12116 rows x 13 columns]"
      ]
     },
     "execution_count": 143,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df.dropna()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 151,
   "metadata": {},
   "outputs": [],
   "source": [
    "df.commentCount.fillna(0, inplace=True)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 148,
   "metadata": {},
   "outputs": [],
   "source": [
    "df.dislikeCount.fillna(0, inplace=True)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 154,
   "metadata": {},
   "outputs": [],
   "source": [
    "df.drop('commentators_uniq', axis=1, inplace=True)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "**Выбросы**"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 161,
   "metadata": {},
   "outputs": [],
   "source": [
    "dislike_q = df.dislikeCount.quantile(0.99)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 164,
   "metadata": {},
   "outputs": [],
   "source": [
    "df = df[df.dislikeCount < dislike_q]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 163,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<AxesSubplot:>"
      ]
     },
     "execution_count": 163,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": "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\n",
      "text/plain": [
       "<Figure size 720x360 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "df.dislikeCount.hist(bins=100, log=True)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 165,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<AxesSubplot:>"
      ]
     },
     "execution_count": 165,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 720x360 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "df.dislikeCount.hist(bins=100, log=True)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": []
  }
 ],
 "metadata": {
  "kernelspec": {
   "display_name": "Python 3",
   "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": "3.8.5"
  }
 },
 "nbformat": 4,
 "nbformat_minor": 4
}