Prediction of customer churn indicators.ipynb

{"nbformat":4,"nbformat_minor":0,"metadata":{"colab":{"provenance":[],"mount_file_id":"1cUdz7GW_4LS04TiVB1ZzYwf6joJKz6EZ","authorship_tag":"ABX9TyNceWMoJsmbwDrRieYf45T3"},"kernelspec":{"name":"python3","display_name":"Python 3"},"language_info":{"name":"python"}},"cells":[{"cell_type":"markdown","source":["This dataset is about predicting whether a customer will change telecommunications provider, something known as \"churning\".\n","\n","**19 fitures and 1 target variable are**:\n","\n","\"**state**\", string. 2-letter code of the US state of customer residence.\n","\n","\"**account_length**\", numerical. Number of months the customer has been with the current telco provider.\n","\n","\"**area_code**\", string=\"area_code_AAA\" where AAA = 3 digit area code.\n","\n","\"**international_plan**\", (yes/no). The customer has international plan.\n","\n","\"**voice_mail_plan**\", (yes/no). The customer has voice mail plan.\n","\n","\"**number_vmail_messages**\", numerical. Number of voice-mail messages.\n","\n","\"**total_day_minutes**\", numerical. Total minutes of day calls.\n","\n","\"**total_day_calls**\", numerical. Total minutes of day calls.\n","\n","\"**total_day_charge**\", numerical. Total charge of day calls.\n","\n","\"**total_eve_minutes**\", numerical. Total minutes of evening calls.\n","\n","\"**total_eve_calls**\", numerical. Total number of evening calls.\n","\n","\"**total_eve_charge**\", numerical. Total charge of evening calls.\n","\n","\"**total_night_minutes**\", numerical. Total minutes of night calls.\n","\n","\"**total_night_calls**\", numerical. Total number of night calls.\n","\n","\"**total_night_charge**\", numerical. Total charge of night calls.\n","\n","\"**total_intl_minutes**\", numerical. Total minutes of international calls.\n","\n","\"**total_intl_calls**\", numerical. Total number of international calls.\n","\n","\"**total_intl_charge**\", numerical. Total charge of international calls\n","\n","\"**number_customer_service_calls**\", numerical. Number of calls to customer service\n","\n","\"**churn**\", (yes/no). Customer churn - target variable."],"metadata":{"id":"q_2QjTbFxGjz"}},{"cell_type":"code","source":["from google.colab import drive\n","drive.mount('/content/drive')"],"metadata":{"colab":{"base_uri":"https://localhost:8080/"},"id":"mcenZ0FyRpmt","executionInfo":{"status":"ok","timestamp":1678548336339,"user_tz":-180,"elapsed":20408,"user":{"displayName":"Наташа Тишина","userId":"14702279015739032258"}},"outputId":"dcc69129-b656-4333-97dd-e5a3b851c4b8"},"execution_count":null,"outputs":[{"output_type":"stream","name":"stdout","text":["Drive already mounted at /content/drive; to attempt to forcibly remount, call drive.mount(\"/content/drive\", force_remount=True).\n"]}]},{"cell_type":"code","source":["import pandas as pd\n","import numpy as np\n"],"metadata":{"id":"vWwtBZO8AtM0"},"execution_count":null,"outputs":[]},{"cell_type":"code","source":["df = pd.read_csv('/content/drive/MyDrive/sample/telecom_churn.csv')\n","df.head()\n"],"metadata":{"colab":{"base_uri":"https://localhost:8080/","height":305},"id":"ZXpNcUXaA9dM","executionInfo":{"status":"ok","timestamp":1678548341886,"user_tz":-180,"elapsed":405,"user":{"displayName":"Наташа Тишина","userId":"14702279015739032258"}},"outputId":"fca25822-5a26-4df7-c233-24008cdc42c5"},"execution_count":null,"outputs":[{"output_type":"execute_result","data":{"text/plain":["  State  Account length  Area code International plan Voice mail plan  \\\n","0    KS             128        415                 No             Yes   \n","1    OH             107        415                 No             Yes   \n","2    NJ             137        415                 No              No   \n","3    OH              84        408                Yes              No   \n","4    OK              75        415                Yes              No   \n","\n","   Number vmail messages  Total day minutes  Total day calls  \\\n","0                     25              265.1              110   \n","1                     26              161.6              123   \n","2                      0              243.4              114   \n","3                      0              299.4               71   \n","4                      0              166.7              113   \n","\n","   Total day charge  Total eve minutes  Total eve calls  Total eve charge  \\\n","0             45.07              197.4               99             16.78   \n","1             27.47              195.5              103             16.62   \n","2             41.38              121.2              110             10.30   \n","3             50.90               61.9               88              5.26   \n","4             28.34              148.3              122             12.61   \n","\n","   Total night minutes  Total night calls  Total night charge  \\\n","0                244.7                 91               11.01   \n","1                254.4                103               11.45   \n","2                162.6                104                7.32   \n","3                196.9                 89                8.86   \n","4                186.9                121                8.41   \n","\n","   Total intl minutes  Total intl calls  Total intl charge  \\\n","0                10.0                 3               2.70   \n","1                13.7                 3               3.70   \n","2                12.2                 5               3.29   \n","3                 6.6                 7               1.78   \n","4                10.1                 3               2.73   \n","\n","   Customer service calls  Churn  \n","0                       1  False  \n","1                       1  False  \n","2                       0  False  \n","3                       2  False  \n","4                       3  False  "],"text/html":["\n","  <div id=\"df-204d5f14-62c7-449f-9efd-1b13a8c06cd9\">\n","    <div class=\"colab-df-container\">\n","      <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>State</th>\n","      <th>Account length</th>\n","      <th>Area code</th>\n","      <th>International plan</th>\n","      <th>Voice mail plan</th>\n","      <th>Number vmail messages</th>\n","      <th>Total day minutes</th>\n","      <th>Total day calls</th>\n","      <th>Total day charge</th>\n","      <th>Total eve minutes</th>\n","      <th>Total eve calls</th>\n","      <th>Total eve charge</th>\n","      <th>Total night minutes</th>\n","      <th>Total night calls</th>\n","      <th>Total night charge</th>\n","      <th>Total intl minutes</th>\n","      <th>Total intl calls</th>\n","      <th>Total intl charge</th>\n","      <th>Customer service calls</th>\n","      <th>Churn</th>\n","    </tr>\n","  </thead>\n","  <tbody>\n","    <tr>\n","      <th>0</th>\n","      <td>KS</td>\n","      <td>128</td>\n","      <td>415</td>\n","      <td>No</td>\n","      <td>Yes</td>\n","      <td>25</td>\n","      <td>265.1</td>\n","      <td>110</td>\n","      <td>45.07</td>\n","      <td>197.4</td>\n","      <td>99</td>\n","      <td>16.78</td>\n","      <td>244.7</td>\n","      <td>91</td>\n","      <td>11.01</td>\n","      <td>10.0</td>\n","      <td>3</td>\n","      <td>2.70</td>\n","      <td>1</td>\n","      <td>False</td>\n","    </tr>\n","    <tr>\n","      <th>1</th>\n","      <td>OH</td>\n","      <td>107</td>\n","      <td>415</td>\n","      <td>No</td>\n","      <td>Yes</td>\n","      <td>26</td>\n","      <td>161.6</td>\n","      <td>123</td>\n","      <td>27.47</td>\n","      <td>195.5</td>\n","      <td>103</td>\n","      <td>16.62</td>\n","      <td>254.4</td>\n","      <td>103</td>\n","      <td>11.45</td>\n","      <td>13.7</td>\n","      <td>3</td>\n","      <td>3.70</td>\n","      <td>1</td>\n","      <td>False</td>\n","    </tr>\n","    <tr>\n","      <th>2</th>\n","      <td>NJ</td>\n","      <td>137</td>\n","      <td>415</td>\n","      <td>No</td>\n","      <td>No</td>\n","      <td>0</td>\n","      <td>243.4</td>\n","      <td>114</td>\n","      <td>41.38</td>\n","      <td>121.2</td>\n","      <td>110</td>\n","      <td>10.30</td>\n","      <td>162.6</td>\n","      <td>104</td>\n","      <td>7.32</td>\n","      <td>12.2</td>\n","      <td>5</td>\n","      <td>3.29</td>\n","      <td>0</td>\n","      <td>False</td>\n","    </tr>\n","    <tr>\n","      <th>3</th>\n","      <td>OH</td>\n","      <td>84</td>\n","      <td>408</td>\n","      <td>Yes</td>\n","      <td>No</td>\n","      <td>0</td>\n","      <td>299.4</td>\n","      <td>71</td>\n","      <td>50.90</td>\n","      <td>61.9</td>\n","      <td>88</td>\n","      <td>5.26</td>\n","      <td>196.9</td>\n","      <td>89</td>\n","      <td>8.86</td>\n","      <td>6.6</td>\n","      <td>7</td>\n","      <td>1.78</td>\n","      <td>2</td>\n","      <td>False</td>\n","    </tr>\n","    <tr>\n","      <th>4</th>\n","      <td>OK</td>\n","      <td>75</td>\n","      <td>415</td>\n","      <td>Yes</td>\n","      <td>No</td>\n","      <td>0</td>\n","      <td>166.7</td>\n","      <td>113</td>\n","      <td>28.34</td>\n","      <td>148.3</td>\n","      <td>122</td>\n","      <td>12.61</td>\n","      <td>186.9</td>\n","      <td>121</td>\n","      <td>8.41</td>\n","      <td>10.1</td>\n","      <td>3</td>\n","      <td>2.73</td>\n","      <td>3</td>\n","      <td>False</td>\n","    </tr>\n","  </tbody>\n","</table>\n","</div>\n","      <button class=\"colab-df-convert\" onclick=\"convertToInteractive('df-204d5f14-62c7-449f-9efd-1b13a8c06cd9')\"\n","              title=\"Convert this dataframe to an 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Настроим опцию вывода таблицы 100х100"],"metadata":{"id":"zEci9hprDo2N"}},{"cell_type":"code","source":["pd.set_option('display.max_columns', 100)\n","pd.set_option('display.max_rows', 100)"],"metadata":{"id":"idWN5KKFeXeM"},"execution_count":null,"outputs":[]},{"cell_type":"code","source":["print(df.shape)"],"metadata":{"id":"5kwF6ktbhEiI","colab":{"base_uri":"https://localhost:8080/"},"executionInfo":{"status":"ok","timestamp":1678548365499,"user_tz":-180,"elapsed":269,"user":{"displayName":"Наташа Тишина","userId":"14702279015739032258"}},"outputId":"662ff208-16cc-4c84-ba0a-bcf6174bc264"},"execution_count":null,"outputs":[{"output_type":"stream","name":"stdout","text":["(3333, 20)\n"]}]},{"cell_type":"code","source":["print(df.columns)\n"],"metadata":{"id":"T1UGAhcghXLe","colab":{"base_uri":"https://localhost:8080/"},"executionInfo":{"status":"ok","timestamp":1678548373748,"user_tz":-180,"elapsed":256,"user":{"displayName":"Наташа Тишина","userId":"14702279015739032258"}},"outputId":"eae19a1b-a7e8-4c2e-f6c2-42cbbcf92693"},"execution_count":null,"outputs":[{"output_type":"stream","name":"stdout","text":["Index(['State', 'Account length', 'Area code', 'International plan',\n","       'Voice mail plan', 'Number vmail messages', 'Total day minutes',\n","       'Total day calls', 'Total day charge', 'Total eve minutes',\n","       'Total eve calls', 'Total eve charge', 'Total night minutes',\n","       'Total night calls', 'Total night charge', 'Total intl minutes',\n","       'Total intl calls', 'Total intl charge', 'Customer service calls',\n","       'Churn'],\n","      dtype='object')\n"]}]},{"cell_type":"markdown","source":["Посмотрим общую информацию по датафрейму:"],"metadata":{"id":"HpeTC_HVhsJZ"}},{"cell_type":"code","source":["print(df.info())\n"],"metadata":{"id":"cWv7VD-kiK1b","colab":{"base_uri":"https://localhost:8080/"},"executionInfo":{"status":"ok","timestamp":1678548420062,"user_tz":-180,"elapsed":460,"user":{"displayName":"Наташа Тишина","userId":"14702279015739032258"}},"outputId":"8202569b-b3cc-4f8d-b29e-7dd3a085cbfc"},"execution_count":null,"outputs":[{"output_type":"stream","name":"stdout","text":["<class 'pandas.core.frame.DataFrame'>\n","RangeIndex: 3333 entries, 0 to 3332\n","Data columns (total 20 columns):\n"," #   Column                  Non-Null Count  Dtype  \n","---  ------                  --------------  -----  \n"," 0   State                   3333 non-null   object \n"," 1   Account length          3333 non-null   int64  \n"," 2   Area code               3333 non-null   int64  \n"," 3   International plan      3333 non-null   object \n"," 4   Voice mail plan         3333 non-null   object \n"," 5   Number vmail messages   3333 non-null   int64  \n"," 6   Total day minutes       3333 non-null   float64\n"," 7   Total day calls         3333 non-null   int64  \n"," 8   Total day charge        3333 non-null   float64\n"," 9   Total eve minutes       3333 non-null   float64\n"," 10  Total eve calls         3333 non-null   int64  \n"," 11  Total eve charge        3333 non-null   float64\n"," 12  Total night minutes     3333 non-null   float64\n"," 13  Total night calls       3333 non-null   int64  \n"," 14  Total night charge      3333 non-null   float64\n"," 15  Total intl minutes      3333 non-null   float64\n"," 16  Total intl calls        3333 non-null   int64  \n"," 17  Total intl charge       3333 non-null   float64\n"," 18  Customer service calls  3333 non-null   int64  \n"," 19  Churn                   3333 non-null   bool   \n","dtypes: bool(1), float64(8), int64(8), object(3)\n","memory usage: 498.1+ KB\n","None\n"]}]},{"cell_type":"markdown","source":["Изменим тип колонки на числовой."],"metadata":{"id":"416Cn-19jI9A"}},{"cell_type":"code","source":["df['Churn'] = df['Churn'].astype('int64')"],"metadata":{"id":"x96Fc2DKjjt7"},"execution_count":null,"outputs":[]},{"cell_type":"markdown","source":["Покажем основные статистические характеристики данных по каждому числовому признаку."],"metadata":{"id":"H_zdd5itkGZV"}},{"cell_type":"code","source":["df.describe()"],"metadata":{"id":"Xc0v-R9-krKY","colab":{"base_uri":"https://localhost:8080/","height":399},"executionInfo":{"status":"ok","timestamp":1654871186991,"user_tz":-180,"elapsed":81,"user":{"displayName":"Наташа Тишина","userId":"14702279015739032258"}},"outputId":"f92c2fa5-dc20-4c8e-be07-224bebe23a26"},"execution_count":null,"outputs":[{"output_type":"execute_result","data":{"text/plain":["       Account length    Area code  Number vmail messages  Total day minutes  \\\n","count     3333.000000  3333.000000            3333.000000        3333.000000   \n","mean       101.064806   437.182418               8.099010         179.775098   \n","std         39.822106    42.371290              13.688365          54.467389   \n","min          1.000000   408.000000               0.000000           0.000000   \n","25%         74.000000   408.000000               0.000000         143.700000   \n","50%        101.000000   415.000000               0.000000         179.400000   \n","75%        127.000000   510.000000              20.000000         216.400000   \n","max        243.000000   510.000000              51.000000         350.800000   \n","\n","       Total day calls  Total day charge  Total eve minutes  Total eve calls  \\\n","count      3333.000000       3333.000000        3333.000000      3333.000000   \n","mean        100.435644         30.562307         200.980348       100.114311   \n","std          20.069084          9.259435          50.713844        19.922625   \n","min           0.000000          0.000000           0.000000         0.000000   \n","25%          87.000000         24.430000         166.600000        87.000000   \n","50%         101.000000         30.500000         201.400000       100.000000   \n","75%         114.000000         36.790000         235.300000       114.000000   \n","max         165.000000         59.640000         363.700000       170.000000   \n","\n","       Total eve charge  Total night minutes  Total night calls  \\\n","count       3333.000000          3333.000000        3333.000000   \n","mean          17.083540           200.872037         100.107711   \n","std            4.310668            50.573847          19.568609   \n","min            0.000000            23.200000          33.000000   \n","25%           14.160000           167.000000          87.000000   \n","50%           17.120000           201.200000         100.000000   \n","75%           20.000000           235.300000         113.000000   \n","max           30.910000           395.000000         175.000000   \n","\n","       Total night charge  Total intl minutes  Total intl calls  \\\n","count         3333.000000         3333.000000       3333.000000   \n","mean             9.039325           10.237294          4.479448   \n","std              2.275873            2.791840          2.461214   \n","min              1.040000            0.000000          0.000000   \n","25%              7.520000            8.500000          3.000000   \n","50%              9.050000           10.300000          4.000000   \n","75%             10.590000           12.100000          6.000000   \n","max             17.770000           20.000000         20.000000   \n","\n","       Total intl charge  Customer service calls        Churn  \n","count        3333.000000             3333.000000  3333.000000  \n","mean            2.764581                1.562856     0.144914  \n","std             0.753773                1.315491     0.352067  \n","min             0.000000                0.000000     0.000000  \n","25%             2.300000                1.000000     0.000000  \n","50%             2.780000                1.000000     0.000000  \n","75%             3.270000                2.000000     0.000000  \n","max             5.400000                9.000000     1.000000  "],"text/html":["\n","  <div id=\"df-b87425ab-7368-4eb5-919d-d3da1e31c558\">\n","    <div class=\"colab-df-container\">\n","      <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>Account length</th>\n","      <th>Area code</th>\n","      <th>Number vmail messages</th>\n","      <th>Total day minutes</th>\n","      <th>Total day calls</th>\n","      <th>Total day charge</th>\n","      <th>Total eve minutes</th>\n","      <th>Total eve calls</th>\n","      <th>Total eve charge</th>\n","      <th>Total night minutes</th>\n","      <th>Total night calls</th>\n","      <th>Total night charge</th>\n","      <th>Total intl minutes</th>\n","      <th>Total intl calls</th>\n","      <th>Total intl charge</th>\n","      <th>Customer service calls</th>\n","      <th>Churn</th>\n","    </tr>\n","  </thead>\n","  <tbody>\n","    <tr>\n","      <th>count</th>\n","      <td>3333.000000</td>\n","      <td>3333.000000</td>\n","      <td>3333.000000</td>\n","      <td>3333.000000</td>\n","      <td>3333.000000</td>\n","      <td>3333.000000</td>\n","      <td>3333.000000</td>\n","      <td>3333.000000</td>\n","      <td>3333.000000</td>\n","      <td>3333.000000</td>\n","      <td>3333.000000</td>\n","      <td>3333.000000</td>\n","      <td>3333.000000</td>\n","      <td>3333.000000</td>\n","      <td>3333.000000</td>\n","      <td>3333.000000</td>\n","      <td>3333.000000</td>\n","    </tr>\n","    <tr>\n","      <th>mean</th>\n","      <td>101.064806</td>\n","      <td>437.182418</td>\n","      <td>8.099010</td>\n","      <td>179.775098</td>\n","      <td>100.435644</td>\n","      <td>30.562307</td>\n","      <td>200.980348</td>\n","      <td>100.114311</td>\n","      <td>17.083540</td>\n","      <td>200.872037</td>\n","      <td>100.107711</td>\n","      <td>9.039325</td>\n","      <td>10.237294</td>\n","      <td>4.479448</td>\n","      <td>2.764581</td>\n","      <td>1.562856</td>\n","      <td>0.144914</td>\n","    </tr>\n","    <tr>\n","      <th>std</th>\n","      <td>39.822106</td>\n","      <td>42.371290</td>\n","      <td>13.688365</td>\n","      <td>54.467389</td>\n","      <td>20.069084</td>\n","      <td>9.259435</td>\n","      <td>50.713844</td>\n","      <td>19.922625</td>\n","      <td>4.310668</td>\n","      <td>50.573847</td>\n","      <td>19.568609</td>\n","      <td>2.275873</td>\n","      <td>2.791840</td>\n","      <td>2.461214</td>\n","      <td>0.753773</td>\n","      <td>1.315491</td>\n","      <td>0.352067</td>\n","    </tr>\n","    <tr>\n","      <th>min</th>\n","      <td>1.000000</td>\n","      <td>408.000000</td>\n","      <td>0.000000</td>\n","      <td>0.000000</td>\n","      <td>0.000000</td>\n","      <td>0.000000</td>\n","      <td>0.000000</td>\n","      <td>0.000000</td>\n","      <td>0.000000</td>\n","      <td>23.200000</td>\n","      <td>33.000000</td>\n","      <td>1.040000</td>\n","      <td>0.000000</td>\n","      <td>0.000000</td>\n","      <td>0.000000</td>\n","      <td>0.000000</td>\n","      <td>0.000000</td>\n","    </tr>\n","    <tr>\n","      <th>25%</th>\n","      <td>74.000000</td>\n","      <td>408.000000</td>\n","      <td>0.000000</td>\n","      <td>143.700000</td>\n","      <td>87.000000</td>\n","      <td>24.430000</td>\n","      <td>166.600000</td>\n","      <td>87.000000</td>\n","      <td>14.160000</td>\n","      <td>167.000000</td>\n","      <td>87.000000</td>\n","      <td>7.520000</td>\n","      <td>8.500000</td>\n","      <td>3.000000</td>\n","      <td>2.300000</td>\n","      <td>1.000000</td>\n","      <td>0.000000</td>\n","    </tr>\n","    <tr>\n","      <th>50%</th>\n","      <td>101.000000</td>\n","      <td>415.000000</td>\n","      <td>0.000000</td>\n","      <td>179.400000</td>\n","      <td>101.000000</td>\n","      <td>30.500000</td>\n","      <td>201.400000</td>\n","      <td>100.000000</td>\n","      <td>17.120000</td>\n","      <td>201.200000</td>\n","      <td>100.000000</td>\n","      <td>9.050000</td>\n","      <td>10.300000</td>\n","      <td>4.000000</td>\n","      <td>2.780000</td>\n","      <td>1.000000</td>\n","      <td>0.000000</td>\n","    </tr>\n","    <tr>\n","      <th>75%</th>\n","      <td>127.000000</td>\n","      <td>510.000000</td>\n","      <td>20.000000</td>\n","      <td>216.400000</td>\n","      <td>114.000000</td>\n","      <td>36.790000</td>\n","      <td>235.300000</td>\n","      <td>114.000000</td>\n","      <td>20.000000</td>\n","      <td>235.300000</td>\n","      <td>113.000000</td>\n","      <td>10.590000</td>\n","      <td>12.100000</td>\n","      <td>6.000000</td>\n","      <td>3.270000</td>\n","      <td>2.000000</td>\n","      <td>0.000000</td>\n","    </tr>\n","    <tr>\n","      <th>max</th>\n","      <td>243.000000</td>\n","      <td>510.000000</td>\n","      <td>51.000000</td>\n","      <td>350.800000</td>\n","      <td>165.000000</td>\n","      <td>59.640000</td>\n","      <td>363.700000</td>\n","      <td>170.000000</td>\n","      <td>30.910000</td>\n","      <td>395.000000</td>\n","      <td>175.000000</td>\n","      <td>17.770000</td>\n","      <td>20.000000</td>\n","      <td>20.000000</td>\n","      <td>5.400000</td>\n","      <td>9.000000</td>\n","      <td>1.000000</td>\n","    </tr>\n","  </tbody>\n","</table>\n","</div>\n","      <button class=\"colab-df-convert\" onclick=\"convertToInteractive('df-b87425ab-7368-4eb5-919d-d3da1e31c558')\"\n","              title=\"Convert this dataframe to an 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'bool'])"],"metadata":{"id":"Dlh-A9Uxmbc2","colab":{"base_uri":"https://localhost:8080/","height":175},"executionInfo":{"status":"ok","timestamp":1678548526092,"user_tz":-180,"elapsed":268,"user":{"displayName":"Наташа Тишина","userId":"14702279015739032258"}},"outputId":"d0970a15-ddbf-49f8-f334-401209ca6d23"},"execution_count":null,"outputs":[{"output_type":"execute_result","data":{"text/plain":["       State International plan Voice mail plan  Churn\n","count   3333               3333            3333   3333\n","unique    51                  2               2      2\n","top       WV                 No              No  False\n","freq     106               3010            2411   2850"],"text/html":["\n","  <div id=\"df-778efa80-6d8f-4124-adb4-6be0b76b21a5\">\n","    <div class=\"colab-df-container\">\n","      <div>\n","<style scoped>\n","    .dataframe tbody tr th:only-of-type {\n","        vertical-align: middle;\n","    }\n","\n","    .dataframe tbody tr th {\n","        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Чтобы посмотреть относительные частоты, укажем значение параметра normalize=True."],"metadata":{"id":"MFuuO5QbrqoK"}},{"cell_type":"code","source":["df['Area code'].value_counts(normalize=True)"],"metadata":{"id":"O5b_VmCPr-Dl","colab":{"base_uri":"https://localhost:8080/"},"executionInfo":{"status":"ok","timestamp":1678548573791,"user_tz":-180,"elapsed":263,"user":{"displayName":"Наташа Тишина","userId":"14702279015739032258"}},"outputId":"e4206f9c-2131-43c2-d056-c150d92e1ebf"},"execution_count":null,"outputs":[{"output_type":"execute_result","data":{"text/plain":["415    0.496550\n","510    0.252025\n","408    0.251425\n","Name: Area code, dtype: float64"]},"metadata":{},"execution_count":11}]},{"cell_type":"markdown","source":["Отсортируем по убыванию признака Total day charge (кто больше всего платит за дневные разговоры)."],"metadata":{"id":"8mt8DZLTtqZy"}},{"cell_type":"code","source":["df.sort_values(by = 'Total day charge', ascending = False).head()"],"metadata":{"id":"cKSKMM_HvAXD","colab":{"base_uri":"https://localhost:8080/","height":305},"executionInfo":{"status":"ok","timestamp":1654871186994,"user_tz":-180,"elapsed":65,"user":{"displayName":"Наташа Тишина","userId":"14702279015739032258"}},"outputId":"f0e92e96-3890-4c84-d2a1-ac686b0230e9"},"execution_count":null,"outputs":[{"output_type":"execute_result","data":{"text/plain":["     State  Account length  Area code International plan Voice mail plan  \\\n","365     CO             154        415                 No              No   \n","985     NY              64        415                Yes              No   \n","2594    OH             115        510                Yes              No   \n","156     OH              83        415                 No              No   \n","605     MO             112        415                 No              No   \n","\n","      Number vmail messages  Total day minutes  Total day calls  \\\n","365                       0              350.8               75   \n","985                       0              346.8               55   \n","2594                      0              345.3               81   \n","156                       0              337.4              120   \n","605                       0              335.5               77   \n","\n","      Total day charge  Total eve minutes  Total eve calls  Total eve charge  \\\n","365              59.64              216.5               94             18.40   \n","985              58.96              249.5               79             21.21   \n","2594             58.70              203.4              106             17.29   \n","156              57.36              227.4              116             19.33   \n","605              57.04              212.5              109             18.06   \n","\n","      Total night minutes  Total night calls  Total night charge  \\\n","365                 253.9                100               11.43   \n","985                 275.4                102               12.39   \n","2594                217.5                107                9.79   \n","156                 153.9                114                6.93   \n","605                 265.0                132               11.93   \n","\n","      Total intl minutes  Total intl calls  Total intl charge  \\\n","365                 10.1                 9               2.73   \n","985                 13.3                 9               3.59   \n","2594                11.8                 8               3.19   \n","156                 15.8                 7               4.27   \n","605                 12.7                 8               3.43   \n","\n","      Customer service calls  Churn  \n","365                        1      1  \n","985                        1      1  \n","2594                       1      1  \n","156                        0      1  \n","605                        2      1  "],"text/html":["\n","  <div 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<td>55</td>\n","      <td>58.96</td>\n","      <td>249.5</td>\n","      <td>79</td>\n","      <td>21.21</td>\n","      <td>275.4</td>\n","      <td>102</td>\n","      <td>12.39</td>\n","      <td>13.3</td>\n","      <td>9</td>\n","      <td>3.59</td>\n","      <td>1</td>\n","      <td>1</td>\n","    </tr>\n","    <tr>\n","      <th>2594</th>\n","      <td>OH</td>\n","      <td>115</td>\n","      <td>510</td>\n","      <td>Yes</td>\n","      <td>No</td>\n","      <td>0</td>\n","      <td>345.3</td>\n","      <td>81</td>\n","      <td>58.70</td>\n","      <td>203.4</td>\n","      <td>106</td>\n","      <td>17.29</td>\n","      <td>217.5</td>\n","      <td>107</td>\n","      <td>9.79</td>\n","      <td>11.8</td>\n","      <td>8</td>\n","      <td>3.19</td>\n","      <td>1</td>\n","      <td>1</td>\n","    </tr>\n","    <tr>\n","      <th>156</th>\n","      <td>OH</td>\n","      <td>83</td>\n","      <td>415</td>\n","      <td>No</td>\n","      <td>No</td>\n","      <td>0</td>\n","      <td>337.4</td>\n","      <td>120</td>\n","      <td>57.36</td>\n","      <td>227.4</td>\n","      <td>116</td>\n","      <td>19.33</td>\n","      <td>153.9</td>\n","      <td>114</td>\n","      <td>6.93</td>\n","      <td>15.8</td>\n","      <td>7</td>\n","      <td>4.27</td>\n","      <td>0</td>\n","      <td>1</td>\n","    </tr>\n","    <tr>\n","      <th>605</th>\n","      <td>MO</td>\n","      <td>112</td>\n","      <td>415</td>\n","      <td>No</td>\n","      <td>No</td>\n","      <td>0</td>\n","      <td>335.5</td>\n","      <td>77</td>\n","      <td>57.04</td>\n","      <td>212.5</td>\n","      <td>109</td>\n","      <td>18.06</td>\n","      <td>265.0</td>\n","      <td>132</td>\n","      <td>11.93</td>\n","      <td>12.7</td>\n","      <td>8</td>\n","      <td>3.43</td>\n","      <td>2</td>\n","      <td>1</td>\n","    </tr>\n","  </tbody>\n","</table>\n","</div>\n","      <button class=\"colab-df-convert\" 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False]).head()"],"metadata":{"id":"Aurkh2dE031Q","colab":{"base_uri":"https://localhost:8080/","height":305},"executionInfo":{"status":"ok","timestamp":1678548624058,"user_tz":-180,"elapsed":262,"user":{"displayName":"Наташа Тишина","userId":"14702279015739032258"}},"outputId":"66377680-2654-4238-db75-56528bdd00a5"},"execution_count":null,"outputs":[{"output_type":"execute_result","data":{"text/plain":["     State  Account length  Area code International plan Voice mail plan  \\\n","688     MN              13        510                 No             Yes   \n","2259    NC             210        415                 No             Yes   \n","534     LA              67        510                 No              No   \n","575     SD             114        415                 No             Yes   \n","2858    AL             141        510                 No             Yes   \n","\n","      Number vmail messages  Total day minutes  Total day calls  \\\n","688                      21              315.6              105   \n","2259                     31              313.8               87   \n","534                       0              310.4               97   \n","575                      36              309.9               90   \n","2858                     28              308.0              123   \n","\n","      Total day charge  Total eve minutes  Total eve calls  Total eve charge  \\\n","688              53.65              208.9               71             17.76   \n","2259             53.35              147.7              103             12.55   \n","534              52.77               66.5              123              5.65   \n","575              52.68              200.3               89             17.03   \n","2858             52.36              247.8              128             21.06   \n","\n","      Total night minutes  Total night calls  Total night charge  \\\n","688                 260.1                123               11.70   \n","2259                192.7                 97                8.67   \n","534                 246.5                 99               11.09   \n","575                 183.5                105                8.26   \n","2858                152.9                103                6.88   \n","\n","      Total intl minutes  Total intl calls  Total intl charge  \\\n","688                 12.1                 3               3.27   \n","2259                10.1                 7               2.73   \n","534                  9.2                10               2.48   \n","575                 14.2                 2               3.83   \n","2858                 7.4                 3               2.00   \n","\n","      Customer service calls  Churn  \n","688                        3  False  \n","2259                       3  False  \n","534                        4  False  \n","575                        1  False  \n","2858                       1  False  "],"text/html":["\n","  <div 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calls</th>\n","      <th>Total night charge</th>\n","      <th>Total intl minutes</th>\n","      <th>Total intl calls</th>\n","      <th>Total intl charge</th>\n","      <th>Customer service calls</th>\n","      <th>Churn</th>\n","    </tr>\n","  </thead>\n","  <tbody>\n","    <tr>\n","      <th>688</th>\n","      <td>MN</td>\n","      <td>13</td>\n","      <td>510</td>\n","      <td>No</td>\n","      <td>Yes</td>\n","      <td>21</td>\n","      <td>315.6</td>\n","      <td>105</td>\n","      <td>53.65</td>\n","      <td>208.9</td>\n","      <td>71</td>\n","      <td>17.76</td>\n","      <td>260.1</td>\n","      <td>123</td>\n","      <td>11.70</td>\n","      <td>12.1</td>\n","      <td>3</td>\n","      <td>3.27</td>\n","      <td>3</td>\n","      <td>False</td>\n","    </tr>\n","    <tr>\n","      <th>2259</th>\n","      <td>NC</td>\n","      <td>210</td>\n","      <td>415</td>\n","      <td>No</td>\n","      <td>Yes</td>\n","      <td>31</td>\n","      <td>313.8</td>\n","      <td>87</td>\n","      <td>53.35</td>\n","      <td>147.7</td>\n","      <td>103</td>\n","      <td>12.55</td>\n","      <td>192.7</td>\n","      <td>97</td>\n","      <td>8.67</td>\n","      <td>10.1</td>\n","      <td>7</td>\n","      <td>2.73</td>\n","      <td>3</td>\n","      <td>False</td>\n","    </tr>\n","    <tr>\n","      <th>534</th>\n","      <td>LA</td>\n","      <td>67</td>\n","      <td>510</td>\n","      <td>No</td>\n","      <td>No</td>\n","      <td>0</td>\n","      <td>310.4</td>\n","      <td>97</td>\n","      <td>52.77</td>\n","      <td>66.5</td>\n","      <td>123</td>\n","      <td>5.65</td>\n","      <td>246.5</td>\n","      <td>99</td>\n","      <td>11.09</td>\n","      <td>9.2</td>\n","      <td>10</td>\n","      <td>2.48</td>\n","      <td>4</td>\n","      <td>False</td>\n","    </tr>\n","    <tr>\n","      <th>575</th>\n","      <td>SD</td>\n","      <td>114</td>\n","      <td>415</td>\n","      <td>No</td>\n","      <td>Yes</td>\n","      <td>36</td>\n","      <td>309.9</td>\n","      <td>90</td>\n","      <td>52.68</td>\n","      <td>200.3</td>\n","      <td>89</td>\n","      <td>17.03</td>\n","      <td>183.5</td>\n","      <td>105</td>\n","      <td>8.26</td>\n","      <td>14.2</td>\n","      <td>2</td>\n","      <td>3.83</td>\n","      <td>1</td>\n","      <td>False</td>\n","    </tr>\n","    <tr>\n","      <th>2858</th>\n","      <td>AL</td>\n","      <td>141</td>\n","      <td>510</td>\n","      <td>No</td>\n","      <td>Yes</td>\n","      <td>28</td>\n","      <td>308.0</td>\n","      <td>123</td>\n","      <td>52.36</td>\n","      <td>247.8</td>\n","      <td>128</td>\n","      <td>21.06</td>\n","      <td>152.9</td>\n","      <td>103</td>\n","      <td>6.88</td>\n","      <td>7.4</td>\n","      <td>3</td>\n","      <td>2.00</td>\n","      <td>1</td>\n","      <td>False</td>\n","    </tr>\n","  </tbody>\n","</table>\n","</div>\n","      <button class=\"colab-df-convert\" 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Select only valid columns before calling the reduction.\n","  df[df['Churn'] == 1].mean()\n"]},{"output_type":"execute_result","data":{"text/plain":["Account length            102.664596\n","Area code                 437.817805\n","Number vmail messages       5.115942\n","Total day minutes         206.914079\n","Total day calls           101.335404\n","Total day charge           35.175921\n","Total eve minutes         212.410145\n","Total eve calls           100.561077\n","Total eve charge           18.054969\n","Total night minutes       205.231677\n","Total night calls         100.399586\n","Total night charge          9.235528\n","Total intl minutes         10.700000\n","Total intl calls            4.163561\n","Total intl charge           2.889545\n","Customer service calls      2.229814\n","Churn                       1.000000\n","dtype: float64"]},"metadata":{},"execution_count":14}]},{"cell_type":"markdown","source":["Скомбинировав предыдущие два вида индексации, узнаем **среднее время дневных разговоров нелояльных клиентов.**"],"metadata":{"id":"p4OOn-Tw7F4z"}},{"cell_type":"code","source":["df[df['Churn'] == 1]['Total day minutes'].mean() # выводит: 206.91407867494814"],"metadata":{"id":"I-bnFGnX7rAu","colab":{"base_uri":"https://localhost:8080/"},"executionInfo":{"status":"ok","timestamp":1654871186998,"user_tz":-180,"elapsed":51,"user":{"displayName":"Наташа Тишина","userId":"14702279015739032258"}},"outputId":"774fb1e3-e406-44e6-b1ab-43dedccebcc7"},"execution_count":null,"outputs":[{"output_type":"execute_result","data":{"text/plain":["206.91407867494814"]},"metadata":{},"execution_count":23}]},{"cell_type":"markdown","source":["Выведем максимальную длину международных звонков среди лояльных клиетов (Churn == 0), которые не пользуются услугой \"Международный роуминг\" ('International plan' == 'No')"],"metadata":{"id":"_DJrENnH8xN_"}},{"cell_type":"code","source":["df[(df['Churn'] == 0)&(df['International plan'] == 'No')]['Total intl minutes'].max() # выводит: 18.899999999999999 "],"metadata":{"id":"3rGQvogB9isf","colab":{"base_uri":"https://localhost:8080/"},"executionInfo":{"status":"ok","timestamp":1654871186999,"user_tz":-180,"elapsed":46,"user":{"displayName":"Наташа Тишина","userId":"14702279015739032258"}},"outputId":"d44aa115-7503-4ad2-bf17-fdb51bcdea32"},"execution_count":null,"outputs":[{"output_type":"execute_result","data":{"text/plain":["18.9"]},"metadata":{},"execution_count":24}]},{"cell_type":"markdown","source":["Срезы столбцов от 'State' до 'Area code'."],"metadata":{"id":"pGdiVW3Z_rD1"}},{"cell_type":"code","source":["df.loc[0:5, 'State':'Area code']"],"metadata":{"id":"NDXhwmzGCiu3","colab":{"base_uri":"https://localhost:8080/","height":238},"executionInfo":{"status":"ok","timestamp":1654871187676,"user_tz":-180,"elapsed":127,"user":{"displayName":"Наташа 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Customer service calls  Churn  \n","0                       1      0  "],"text/html":["\n","  <div id=\"df-c98b0b7c-541a-429b-8b11-8e5946156984\">\n","    <div class=\"colab-df-container\">\n","      <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>State</th>\n","      <th>Account length</th>\n","      <th>Area code</th>\n","      <th>International plan</th>\n","      <th>Voice mail plan</th>\n","      <th>Number vmail messages</th>\n","      <th>Total day minutes</th>\n","      <th>Total day calls</th>\n","      <th>Total day charge</th>\n","      <th>Total eve minutes</th>\n","      <th>Total eve calls</th>\n","      <th>Total eve charge</th>\n","      <th>Total night minutes</th>\n","      <th>Total night calls</th>\n","      <th>Total night charge</th>\n","      <th>Total intl minutes</th>\n","      <th>Total intl calls</th>\n","      <th>Total intl charge</th>\n","      <th>Customer service calls</th>\n","      <th>Churn</th>\n","    </tr>\n","  </thead>\n","  <tbody>\n","    <tr>\n","      <th>0</th>\n","      <td>KS</td>\n","      <td>128</td>\n","      <td>415</td>\n","      <td>No</td>\n","      <td>Yes</td>\n","      <td>25</td>\n","      <td>265.1</td>\n","      <td>110</td>\n","      <td>45.07</td>\n","      <td>197.4</td>\n","      <td>99</td>\n","      <td>16.78</td>\n","      <td>244.7</td>\n","      <td>91</td>\n","      <td>11.01</td>\n","      <td>10.0</td>\n","      <td>3</td>\n","      <td>2.7</td>\n","      <td>1</td>\n","      <td>0</td>\n","    </tr>\n","  </tbody>\n","</table>\n","</div>\n","      <button class=\"colab-df-convert\" 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       3.7   \n","\n","      Customer service calls  Churn  \n","3332                       0      0  "],"text/html":["\n","  <div id=\"df-a8524c6c-ba84-42bd-95d5-e45c23cea4a2\">\n","    <div class=\"colab-df-container\">\n","      <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>State</th>\n","      <th>Account length</th>\n","      <th>Area code</th>\n","      <th>International plan</th>\n","      <th>Voice mail plan</th>\n","      <th>Number vmail messages</th>\n","      <th>Total day minutes</th>\n","      <th>Total day calls</th>\n","      <th>Total day charge</th>\n","      <th>Total eve minutes</th>\n","      <th>Total eve calls</th>\n","      <th>Total eve charge</th>\n","      <th>Total night minutes</th>\n","      <th>Total night calls</th>\n","      <th>Total night charge</th>\n","      <th>Total intl minutes</th>\n","      <th>Total intl calls</th>\n","      <th>Total intl charge</th>\n","      <th>Customer service calls</th>\n","      <th>Churn</th>\n","    </tr>\n","  </thead>\n","  <tbody>\n","    <tr>\n","      <th>3332</th>\n","      <td>TN</td>\n","      <td>74</td>\n","      <td>415</td>\n","      <td>No</td>\n","      <td>Yes</td>\n","      <td>25</td>\n","      <td>234.4</td>\n","      <td>113</td>\n","      <td>39.85</td>\n","      <td>265.9</td>\n","      <td>82</td>\n","      <td>22.6</td>\n","      <td>241.4</td>\n","      <td>77</td>\n","      <td>10.86</td>\n","      <td>13.7</td>\n","      <td>4</td>\n","      <td>3.7</td>\n","      <td>0</td>\n","      <td>0</td>\n","    </tr>\n","  </tbody>\n","</table>\n","</div>\n","      <button class=\"colab-df-convert\" 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Visit the ' +\n","            '<a target=\"_blank\" href=https://colab.research.google.com/notebooks/data_table.ipynb>data table notebook</a>'\n","            + ' to learn more about interactive tables.';\n","          element.innerHTML = '';\n","          dataTable['output_type'] = 'display_data';\n","          await google.colab.output.renderOutput(dataTable, element);\n","          const docLink = document.createElement('div');\n","          docLink.innerHTML = docLinkHtml;\n","          element.appendChild(docLink);\n","        }\n","      </script>\n","    </div>\n","  </div>\n","  "]},"metadata":{},"execution_count":28}]},{"cell_type":"markdown","source":["Применение функции к каждому столбцу: apply"],"metadata":{"id":"RPNgXvYGFOe1"}},{"cell_type":"code","source":["df.apply(np.max)"],"metadata":{"id":"SudZO9TzFpmn","colab":{"base_uri":"https://localhost:8080/"},"executionInfo":{"status":"ok","timestamp":1654871187681,"user_tz":-180,"elapsed":124,"user":{"displayName":"Наташа Тишина","userId":"14702279015739032258"}},"outputId":"4031798c-6296-4261-8881-4484b9386bfe"},"execution_count":null,"outputs":[{"output_type":"execute_result","data":{"text/plain":["State                        WY\n","Account length              243\n","Area code                   510\n","International plan          Yes\n","Voice mail plan             Yes\n","Number vmail messages        51\n","Total day minutes         350.8\n","Total day calls             165\n","Total day charge          59.64\n","Total eve minutes         363.7\n","Total eve calls             170\n","Total eve charge          30.91\n","Total night minutes       395.0\n","Total night calls           175\n","Total night charge        17.77\n","Total intl minutes         20.0\n","Total intl calls             20\n","Total intl charge           5.4\n","Customer service calls        9\n","Churn                         1\n","dtype: object"]},"metadata":{},"execution_count":29}]},{"cell_type":"markdown","source":["Применение функции к каждой ячейке столбца: map  (замена значений в колонке с использованием словаря d - dictionary)"],"metadata":{"id":"95BB5wCKGAGX"}},{"cell_type":"code","source":["d = {'No':False, 'Yes': True}\n","df['International plan'] = df['International plan'].map(d)\n","df.head()"],"metadata":{"id":"92qFk53kGoOv","colab":{"base_uri":"https://localhost:8080/","height":305},"executionInfo":{"status":"ok","timestamp":1654871187683,"user_tz":-180,"elapsed":109,"user":{"displayName":"Наташа Тишина","userId":"14702279015739032258"}},"outputId":"c030ab05-baf7-4865-f9be-ccb8a14ee9b0"},"execution_count":null,"outputs":[{"output_type":"execute_result","data":{"text/plain":["  State  Account length  Area code  International plan Voice mail plan  \\\n","0    KS             128        415               False             Yes   \n","1    OH             107        415               False             Yes   \n","2    NJ             137        415               False              No   \n","3    OH              84        408                True              No   \n","4    OK              75        415                True              No   \n","\n","   Number vmail messages  Total day minutes  Total day calls  \\\n","0                     25              265.1              110   \n","1                     26              161.6              123   \n","2                      0              243.4              114   \n","3                      0              299.4               71   \n","4                      0              166.7              113   \n","\n","   Total day charge  Total eve minutes  Total eve calls  Total eve charge  \\\n","0             45.07              197.4               99             16.78   \n","1             27.47              195.5              103             16.62   \n","2             41.38              121.2              110             10.30   \n","3             50.90               61.9               88              5.26   \n","4             28.34              148.3              122             12.61   \n","\n","   Total night minutes  Total night calls  Total night charge  \\\n","0                244.7                 91               11.01   \n","1                254.4                103               11.45   \n","2                162.6                104                7.32   \n","3                196.9                 89                8.86   \n","4                186.9                121                8.41   \n","\n","   Total intl minutes  Total intl calls  Total intl charge  \\\n","0                10.0                 3               2.70   \n","1                13.7                 3               3.70   \n","2                12.2                 5               3.29   \n","3                 6.6                 7               1.78   \n","4                10.1                 3               2.73   \n","\n","   Customer service calls  Churn  \n","0                       1      0  \n","1                       1      0  \n","2                       0      0  \n","3                       2      0  \n","4                       3      0  "],"text/html":["\n","  <div id=\"df-fddb5e1e-815a-4102-bf2c-b3b1e473602f\">\n","    <div class=\"colab-df-container\">\n","      <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>State</th>\n","      <th>Account length</th>\n","      <th>Area code</th>\n","      <th>International plan</th>\n","      <th>Voice mail plan</th>\n","      <th>Number vmail messages</th>\n","      <th>Total day minutes</th>\n","      <th>Total day calls</th>\n","      <th>Total day charge</th>\n","      <th>Total eve minutes</th>\n","      <th>Total eve calls</th>\n","      <th>Total eve charge</th>\n","      <th>Total night minutes</th>\n","      <th>Total night calls</th>\n","      <th>Total night charge</th>\n","      <th>Total intl minutes</th>\n","      <th>Total intl calls</th>\n","      <th>Total intl charge</th>\n","      <th>Customer service calls</th>\n","      <th>Churn</th>\n","    </tr>\n","  </thead>\n","  <tbody>\n","    <tr>\n","      <th>0</th>\n","      <td>KS</td>\n","      <td>128</td>\n","      <td>415</td>\n","      <td>False</td>\n","      <td>Yes</td>\n","      <td>25</td>\n","      <td>265.1</td>\n","      <td>110</td>\n","      <td>45.07</td>\n","      <td>197.4</td>\n","      <td>99</td>\n","      <td>16.78</td>\n","      <td>244.7</td>\n","      <td>91</td>\n","      <td>11.01</td>\n","      <td>10.0</td>\n","      <td>3</td>\n","      <td>2.70</td>\n","      <td>1</td>\n","      <td>0</td>\n","    </tr>\n","    <tr>\n","      <th>1</th>\n","      <td>OH</td>\n","      <td>107</td>\n","      <td>415</td>\n","      <td>False</td>\n","      <td>Yes</td>\n","      <td>26</td>\n","      <td>161.6</td>\n","      <td>123</td>\n","      <td>27.47</td>\n","      <td>195.5</td>\n","      <td>103</td>\n","      <td>16.62</td>\n","      <td>254.4</td>\n","      <td>103</td>\n","      <td>11.45</td>\n","      <td>13.7</td>\n","      <td>3</td>\n","      <td>3.70</td>\n","      <td>1</td>\n","      <td>0</td>\n","    </tr>\n","    <tr>\n","      <th>2</th>\n","      <td>NJ</td>\n","      <td>137</td>\n","      <td>415</td>\n","      <td>False</td>\n","      <td>No</td>\n","      <td>0</td>\n","      <td>243.4</td>\n","      <td>114</td>\n","      <td>41.38</td>\n","      <td>121.2</td>\n","      <td>110</td>\n","      <td>10.30</td>\n","      <td>162.6</td>\n","      <td>104</td>\n","      <td>7.32</td>\n","      <td>12.2</td>\n","      <td>5</td>\n","      <td>3.29</td>\n","      <td>0</td>\n","      <td>0</td>\n","    </tr>\n","    <tr>\n","      <th>3</th>\n","      <td>OH</td>\n","      <td>84</td>\n","      <td>408</td>\n","      <td>True</td>\n","      <td>No</td>\n","      <td>0</td>\n","      <td>299.4</td>\n","      <td>71</td>\n","      <td>50.90</td>\n","      <td>61.9</td>\n","      <td>88</td>\n","      <td>5.26</td>\n","      <td>196.9</td>\n","      <td>89</td>\n","      <td>8.86</td>\n","      <td>6.6</td>\n","      <td>7</td>\n","      <td>1.78</td>\n","      <td>2</td>\n","      <td>0</td>\n","    </tr>\n","    <tr>\n","      <th>4</th>\n","      <td>OK</td>\n","      <td>75</td>\n","      <td>415</td>\n","      <td>True</td>\n","      <td>No</td>\n","      <td>0</td>\n","      <td>166.7</td>\n","      <td>113</td>\n","      <td>28.34</td>\n","      <td>148.3</td>\n","      <td>122</td>\n","      <td>12.61</td>\n","      <td>186.9</td>\n","      <td>121</td>\n","      <td>8.41</td>\n","      <td>10.1</td>\n","      <td>3</td>\n","      <td>2.73</td>\n","      <td>3</td>\n","      <td>0</td>\n","    </tr>\n","  </tbody>\n","</table>\n","</div>\n","      <button class=\"colab-df-convert\" onclick=\"convertToInteractive('df-fddb5e1e-815a-4102-bf2c-b3b1e473602f')\"\n","              title=\"Convert this dataframe to an interactive table.\"\n","              style=\"display:none;\">\n","        \n","  <svg xmlns=\"http://www.w3.org/2000/svg\" height=\"24px\"viewBox=\"0 0 24 24\"\n","       width=\"24px\">\n","    <path d=\"M0 0h24v24H0V0z\" fill=\"none\"/>\n","    <path d=\"M18.56 5.44l.94 2.06.94-2.06 2.06-.94-2.06-.94-.94-2.06-.94 2.06-2.06.94zm-11 1L8.5 8.5l.94-2.06 2.06-.94-2.06-.94L8.5 2.5l-.94 2.06-2.06.94zm10 10l.94 2.06.94-2.06 2.06-.94-2.06-.94-.94-2.06-.94 2.06-2.06.94z\"/><path d=\"M17.41 7.96l-1.37-1.37c-.4-.4-.92-.59-1.43-.59-.52 0-1.04.2-1.43.59L10.3 9.45l-7.72 7.72c-.78.78-.78 2.05 0 2.83L4 21.41c.39.39.9.59 1.41.59.51 0 1.02-.2 1.41-.59l7.78-7.78 2.81-2.81c.8-.78.8-2.07 0-2.86zM5.41 20L4 18.59l7.72-7.72 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Visit the ' +\n","            '<a target=\"_blank\" href=https://colab.research.google.com/notebooks/data_table.ipynb>data table notebook</a>'\n","            + ' to learn more about interactive tables.';\n","          element.innerHTML = '';\n","          dataTable['output_type'] = 'display_data';\n","          await google.colab.output.renderOutput(dataTable, element);\n","          const docLink = document.createElement('div');\n","          docLink.innerHTML = docLinkHtml;\n","          element.appendChild(docLink);\n","        }\n","      </script>\n","    </div>\n","  </div>\n","  "]},"metadata":{},"execution_count":30}]},{"cell_type":"markdown","source":["Замена значений с помощью метода replace"],"metadata":{"id":"EJgCPGI7H3HH"}},{"cell_type":"code","source":["df = df.replace({'Voice mail plan': d})\n","df.head()"],"metadata":{"id":"hsimU1hwIFMR","colab":{"base_uri":"https://localhost:8080/","height":305},"executionInfo":{"status":"ok","timestamp":1654871187684,"user_tz":-180,"elapsed":107,"user":{"displayName":"Наташа Тишина","userId":"14702279015739032258"}},"outputId":"882ebe46-9ae2-4c89-a2ae-ad6444ae0dcc"},"execution_count":null,"outputs":[{"output_type":"execute_result","data":{"text/plain":["  State  Account length  Area code  International plan  Voice mail plan  \\\n","0    KS             128        415               False             True   \n","1    OH             107        415               False             True   \n","2    NJ             137        415               False            False   \n","3    OH              84        408                True            False   \n","4    OK              75        415                True            False   \n","\n","   Number vmail messages  Total day minutes  Total day calls  \\\n","0                     25              265.1              110   \n","1                     26              161.6              123   \n","2                      0              243.4              114   \n","3                      0              299.4               71   \n","4                      0              166.7              113   \n","\n","   Total day charge  Total eve minutes  Total eve calls  Total eve charge  \\\n","0             45.07              197.4               99             16.78   \n","1             27.47              195.5              103             16.62   \n","2             41.38              121.2              110             10.30   \n","3             50.90               61.9               88              5.26   \n","4             28.34              148.3              122             12.61   \n","\n","   Total night minutes  Total night calls  Total night charge  \\\n","0                244.7                 91               11.01   \n","1                254.4                103               11.45   \n","2                162.6                104                7.32   \n","3                196.9                 89                8.86   \n","4                186.9                121                8.41   \n","\n","   Total intl minutes  Total intl calls  Total intl charge  \\\n","0                10.0                 3               2.70   \n","1                13.7                 3               3.70   \n","2                12.2                 5               3.29   \n","3                 6.6                 7               1.78   \n","4                10.1                 3               2.73   \n","\n","   Customer service calls  Churn  \n","0                       1      0  \n","1                       1      0  \n","2                       0      0  \n","3                       2      0  \n","4                       3      0  "],"text/html":["\n","  <div id=\"df-7486013a-1683-4268-bd81-1ed0bf145774\">\n","    <div class=\"colab-df-container\">\n","      <div>\n","<style 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calls</th>\n","      <th>Total intl charge</th>\n","      <th>Customer service calls</th>\n","      <th>Churn</th>\n","    </tr>\n","  </thead>\n","  <tbody>\n","    <tr>\n","      <th>0</th>\n","      <td>KS</td>\n","      <td>128</td>\n","      <td>415</td>\n","      <td>False</td>\n","      <td>True</td>\n","      <td>25</td>\n","      <td>265.1</td>\n","      <td>110</td>\n","      <td>45.07</td>\n","      <td>197.4</td>\n","      <td>99</td>\n","      <td>16.78</td>\n","      <td>244.7</td>\n","      <td>91</td>\n","      <td>11.01</td>\n","      <td>10.0</td>\n","      <td>3</td>\n","      <td>2.70</td>\n","      <td>1</td>\n","      <td>0</td>\n","    </tr>\n","    <tr>\n","      <th>1</th>\n","      <td>OH</td>\n","      <td>107</td>\n","      <td>415</td>\n","      <td>False</td>\n","      <td>True</td>\n","      <td>26</td>\n","      <td>161.6</td>\n","      <td>123</td>\n","      <td>27.47</td>\n","      <td>195.5</td>\n","      <td>103</td>\n","      <td>16.62</td>\n","      <td>254.4</td>\n","      <td>103</td>\n","      <td>11.45</td>\n","      <td>13.7</td>\n","      <td>3</td>\n","      <td>3.70</td>\n","      <td>1</td>\n","      <td>0</td>\n","    </tr>\n","    <tr>\n","      <th>2</th>\n","      <td>NJ</td>\n","      <td>137</td>\n","      <td>415</td>\n","      <td>False</td>\n","      <td>False</td>\n","      <td>0</td>\n","      <td>243.4</td>\n","      <td>114</td>\n","      <td>41.38</td>\n","      <td>121.2</td>\n","      <td>110</td>\n","      <td>10.30</td>\n","      <td>162.6</td>\n","      <td>104</td>\n","      <td>7.32</td>\n","      <td>12.2</td>\n","      <td>5</td>\n","      <td>3.29</td>\n","      <td>0</td>\n","      <td>0</td>\n","    </tr>\n","    <tr>\n","      <th>3</th>\n","      <td>OH</td>\n","      <td>84</td>\n","      <td>408</td>\n","      <td>True</td>\n","      <td>False</td>\n","      <td>0</td>\n","      <td>299.4</td>\n","      <td>71</td>\n","      <td>50.90</td>\n","      <td>61.9</td>\n","      <td>88</td>\n","      <td>5.26</td>\n","      <td>196.9</td>\n","      <td>89</td>\n","      <td>8.86</td>\n","      <td>6.6</td>\n","      <td>7</td>\n","      <td>1.78</td>\n","      <td>2</td>\n","      <td>0</td>\n","    </tr>\n","    <tr>\n","      <th>4</th>\n","      <td>OK</td>\n","      <td>75</td>\n","      <td>415</td>\n","      <td>True</td>\n","      <td>False</td>\n","      <td>0</td>\n","      <td>166.7</td>\n","      <td>113</td>\n","      <td>28.34</td>\n","      <td>148.3</td>\n","      <td>122</td>\n","      <td>12.61</td>\n","      <td>186.9</td>\n","      <td>121</td>\n","      <td>8.41</td>\n","      <td>10.1</td>\n","      <td>3</td>\n","      <td>2.73</td>\n","      <td>3</td>\n","      <td>0</td>\n","    </tr>\n","  </tbody>\n","</table>\n","</div>\n","      <button class=\"colab-df-convert\" onclick=\"convertToInteractive('df-7486013a-1683-4268-bd81-1ed0bf145774')\"\n","              title=\"Convert this dataframe to an interactive table.\"\n","              style=\"display:none;\">\n","        \n","  <svg xmlns=\"http://www.w3.org/2000/svg\" height=\"24px\"viewBox=\"0 0 24 24\"\n","       width=\"24px\">\n","    <path d=\"M0 0h24v24H0V0z\" fill=\"none\"/>\n","    <path d=\"M18.56 5.44l.94 2.06.94-2.06 2.06-.94-2.06-.94-.94-2.06-.94 2.06-2.06.94zm-11 1L8.5 8.5l.94-2.06 2.06-.94-2.06-.94L8.5 2.5l-.94 2.06-2.06.94zm10 10l.94 2.06.94-2.06 2.06-.94-2.06-.94-.94-2.06-.94 2.06-2.06.94z\"/><path d=\"M17.41 7.96l-1.37-1.37c-.4-.4-.92-.59-1.43-.59-.52 0-1.04.2-1.43.59L10.3 9.45l-7.72 7.72c-.78.78-.78 2.05 0 2.83L4 21.41c.39.39.9.59 1.41.59.51 0 1.02-.2 1.41-.59l7.78-7.78 2.81-2.81c.8-.78.8-2.07 0-2.86zM5.41 20L4 18.59l7.72-7.72 1.47 1.35L5.41 20z\"/>\n","  </svg>\n","      </button>\n","      \n","  <style>\n","    .colab-df-container {\n","      display:flex;\n","      flex-wrap:wrap;\n","      gap: 12px;\n","    }\n","\n","    .colab-df-convert {\n","      background-color: #E8F0FE;\n","      border: none;\n","      border-radius: 50%;\n","      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'Total eve minutes', 'Total night minutes']\n","df.groupby(['Churn'])[columns_to_show].describe(percentiles = [])"],"metadata":{"id":"KgfFDQLDJAxQ","colab":{"base_uri":"https://localhost:8080/","height":175},"executionInfo":{"status":"ok","timestamp":1678549490325,"user_tz":-180,"elapsed":285,"user":{"displayName":"Наташа Тишина","userId":"14702279015739032258"}},"outputId":"aebb3202-a688-4224-debc-e4c88b1a76df"},"execution_count":null,"outputs":[{"output_type":"execute_result","data":{"text/plain":["      Total day minutes                                            \\\n","                  count        mean        std  min    50%    max   \n","Churn                                                               \n","False            2850.0  175.175754  50.181655  0.0  177.2  315.6   \n","True              483.0  206.914079  68.997792  0.0  217.6  350.8   \n","\n","      Total eve minutes                                             \\\n","                  count        mean        std   min    50%    max   \n","Churn                                                                \n","False            2850.0  199.043298  50.292175   0.0  199.6  361.8   \n","True              483.0  212.410145  51.728910  70.9  211.3  363.7   \n","\n","      Total night minutes                                              \n","                    count        mean        std   min     50%    max  \n","Churn                                                                  \n","False              2850.0  200.133193  51.105032  23.2  200.25  395.0  \n","True                483.0  205.231677  47.132825  47.4  204.80  354.9  "],"text/html":["\n","  <div id=\"df-71fb8e38-a9de-43b1-a937-fe55f4e406ed\">\n","    <div class=\"colab-df-container\">\n","      <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 tr th {\n","    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   <th></th>\n","      <th></th>\n","      <th></th>\n","      <th></th>\n","      <th></th>\n","      <th></th>\n","      <th></th>\n","      <th></th>\n","      <th></th>\n","      <th></th>\n","      <th></th>\n","      <th></th>\n","      <th></th>\n","      <th></th>\n","      <th></th>\n","      <th></th>\n","    </tr>\n","  </thead>\n","  <tbody>\n","    <tr>\n","      <th>False</th>\n","      <td>2850.0</td>\n","      <td>175.175754</td>\n","      <td>50.181655</td>\n","      <td>0.0</td>\n","      <td>177.2</td>\n","      <td>315.6</td>\n","      <td>2850.0</td>\n","      <td>199.043298</td>\n","      <td>50.292175</td>\n","      <td>0.0</td>\n","      <td>199.6</td>\n","      <td>361.8</td>\n","      <td>2850.0</td>\n","      <td>200.133193</td>\n","      <td>51.105032</td>\n","      <td>23.2</td>\n","      <td>200.25</td>\n","      <td>395.0</td>\n","    </tr>\n","    <tr>\n","      <th>True</th>\n","      <td>483.0</td>\n","      <td>206.914079</td>\n","      <td>68.997792</td>\n","      <td>0.0</td>\n","      <td>217.6</td>\n","      <td>350.8</td>\n","      <td>483.0</td>\n","      <td>212.410145</td>\n","      <td>51.728910</td>\n","      <td>70.9</td>\n","      <td>211.3</td>\n","      <td>363.7</td>\n","      <td>483.0</td>\n","      <td>205.231677</td>\n","      <td>47.132825</td>\n","      <td>47.4</td>\n","      <td>204.80</td>\n","      <td>354.9</td>\n","    </tr>\n","  </tbody>\n","</table>\n","</div>\n","      <button class=\"colab-df-convert\" onclick=\"convertToInteractive('df-71fb8e38-a9de-43b1-a937-fe55f4e406ed')\"\n","              title=\"Convert this dataframe to an interactive table.\"\n","              style=\"display:none;\">\n","        \n","  <svg xmlns=\"http://www.w3.org/2000/svg\" height=\"24px\"viewBox=\"0 0 24 24\"\n","       width=\"24px\">\n","    <path d=\"M0 0h24v24H0V0z\" fill=\"none\"/>\n","    <path d=\"M18.56 5.44l.94 2.06.94-2.06 2.06-.94-2.06-.94-.94-2.06-.94 2.06-2.06.94zm-11 1L8.5 8.5l.94-2.06 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Visit the ' +\n","            '<a target=\"_blank\" href=https://colab.research.google.com/notebooks/data_table.ipynb>data table notebook</a>'\n","            + ' to learn more about interactive tables.';\n","          element.innerHTML = '';\n","          dataTable['output_type'] = 'display_data';\n","          await google.colab.output.renderOutput(dataTable, element);\n","          const docLink = document.createElement('div');\n","          docLink.innerHTML = docLinkHtml;\n","          element.appendChild(docLink);\n","        }\n","      </script>\n","    </div>\n","  </div>\n","  "]},"metadata":{},"execution_count":15}]},{"cell_type":"markdown","source":["Группировка и вывод перечисленных статистик с помощью **agg**"],"metadata":{"id":"cZTfgQ-6MV7B"}},{"cell_type":"code","source":["from numpy.ma.core import std\n","columns_to_show = ['Total day minutes', 'Total eve minutes', 'Total night minutes']\n","df.groupby(['Churn'])[columns_to_show].agg([np.mean, np.std, np.min, np.max])"],"metadata":{"id":"pE4HiEFaMj5Q","colab":{"base_uri":"https://localhost:8080/","height":175},"executionInfo":{"status":"ok","timestamp":1678549498820,"user_tz":-180,"elapsed":338,"user":{"displayName":"Наташа Тишина","userId":"14702279015739032258"}},"outputId":"d021bea4-a45c-49b8-b6ce-144bdf3afc6b"},"execution_count":null,"outputs":[{"output_type":"execute_result","data":{"text/plain":["      Total day minutes                        Total eve minutes             \\\n","                   mean        std amin   amax              mean        std   \n","Churn                                                                         \n","False        175.175754  50.181655  0.0  315.6        199.043298  50.292175   \n","True         206.914079  68.997792  0.0  350.8        212.410145  51.728910   \n","\n","                   Total night minutes                          \n","       amin   amax                mean        std  amin   amax  \n","Churn                                                           \n","False   0.0  361.8          200.133193  51.105032  23.2  395.0  \n","True   70.9  363.7          205.231677  47.132825  47.4  354.9  "],"text/html":["\n","  <div id=\"df-1d4a94da-ebe6-4a6b-90ac-5b506a72a3c7\">\n","    <div class=\"colab-df-container\">\n","      <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 tr th {\n","        text-align: left;\n","    }\n","\n","    .dataframe thead tr:last-of-type th {\n","        text-align: right;\n","    }\n","</style>\n","<table border=\"1\" class=\"dataframe\">\n","  <thead>\n","    <tr>\n","      <th></th>\n","      <th colspan=\"4\" halign=\"left\">Total day minutes</th>\n","      <th colspan=\"4\" halign=\"left\">Total eve minutes</th>\n","      <th colspan=\"4\" halign=\"left\">Total night minutes</th>\n","    </tr>\n","    <tr>\n","      <th></th>\n","      <th>mean</th>\n","      <th>std</th>\n","      <th>amin</th>\n","      <th>amax</th>\n","      <th>mean</th>\n","      <th>std</th>\n","      <th>amin</th>\n","      <th>amax</th>\n","      <th>mean</th>\n","      <th>std</th>\n","      <th>amin</th>\n","      <th>amax</th>\n","    </tr>\n","    <tr>\n","      <th>Churn</th>\n","      <th></th>\n","      <th></th>\n","      <th></th>\n","      <th></th>\n","      <th></th>\n","      <th></th>\n","      <th></th>\n","      <th></th>\n","      <th></th>\n","      <th></th>\n","      <th></th>\n","      <th></th>\n","    </tr>\n","  </thead>\n","  <tbody>\n","    <tr>\n","      <th>False</th>\n","      <td>175.175754</td>\n","      <td>50.181655</td>\n","      <td>0.0</td>\n","      <td>315.6</td>\n","      <td>199.043298</td>\n","      <td>50.292175</td>\n","      <td>0.0</td>\n","      <td>361.8</td>\n","      <td>200.133193</td>\n","      <td>51.105032</td>\n","      <td>23.2</td>\n","      <td>395.0</td>\n","    </tr>\n","    <tr>\n","      <th>True</th>\n","      <td>206.914079</td>\n","      <td>68.997792</td>\n","      <td>0.0</td>\n","      <td>350.8</td>\n","      <td>212.410145</td>\n","      <td>51.728910</td>\n","      <td>70.9</td>\n","      <td>363.7</td>\n","      <td>205.231677</td>\n","      <td>47.132825</td>\n","      <td>47.4</td>\n","      <td>354.9</td>\n","    </tr>\n","  </tbody>\n","</table>\n","</div>\n","      <button class=\"colab-df-convert\" onclick=\"convertToInteractive('df-1d4a94da-ebe6-4a6b-90ac-5b506a72a3c7')\"\n","              title=\"Convert this dataframe to an interactive table.\"\n","              style=\"display:none;\">\n","        \n","  <svg xmlns=\"http://www.w3.org/2000/svg\" height=\"24px\"viewBox=\"0 0 24 24\"\n","       width=\"24px\">\n","    <path d=\"M0 0h24v24H0V0z\" fill=\"none\"/>\n","    <path d=\"M18.56 5.44l.94 2.06.94-2.06 2.06-.94-2.06-.94-.94-2.06-.94 2.06-2.06.94zm-11 1L8.5 8.5l.94-2.06 2.06-.94-2.06-.94L8.5 2.5l-.94 2.06-2.06.94zm10 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Visit the ' +\n","            '<a target=\"_blank\" href=https://colab.research.google.com/notebooks/data_table.ipynb>data table notebook</a>'\n","            + ' to learn more about interactive tables.';\n","          element.innerHTML = '';\n","          dataTable['output_type'] = 'display_data';\n","          await google.colab.output.renderOutput(dataTable, element);\n","          const docLink = document.createElement('div');\n","          docLink.innerHTML = docLinkHtml;\n","          element.appendChild(docLink);\n","        }\n","      </script>\n","    </div>\n","  </div>\n","  "]},"metadata":{},"execution_count":16}]},{"cell_type":"markdown","source":["**Сводные таблицы**"],"metadata":{"id":"bn8BeMZ0PiaM"}},{"cell_type":"markdown","source":["Чтобы посмотреть **распределение значений в выборке** по двум признакам Churn и International plan,построим **таблицу сопряженности методом crosstab**:\n"],"metadata":{"id":"jyX3_cK38Tyu"}},{"cell_type":"code","source":["pd.crosstab(df['Churn'], df['International plan'],normalize=False)"],"metadata":{"colab":{"base_uri":"https://localhost:8080/","height":143},"id":"jbUNAeI19quI","executionInfo":{"status":"ok","timestamp":1678549506238,"user_tz":-180,"elapsed":261,"user":{"displayName":"Наташа Тишина","userId":"14702279015739032258"}},"outputId":"1eb81d31-16d3-42b6-fe4d-9300f32b3211"},"execution_count":null,"outputs":[{"output_type":"execute_result","data":{"text/plain":["International plan    No  Yes\n","Churn                        \n","False               2664  186\n","True                 346  137"],"text/html":["\n","  <div id=\"df-b834bbe1-b263-4d01-a4e2-5522941a600b\">\n","    <div class=\"colab-df-container\">\n","      <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>International plan</th>\n","      <th>No</th>\n","      <th>Yes</th>\n","    </tr>\n","    <tr>\n","      <th>Churn</th>\n","      <th></th>\n","      <th></th>\n","    </tr>\n","  </thead>\n","  <tbody>\n","    <tr>\n","      <th>False</th>\n","      <td>2664</td>\n","      <td>186</td>\n","    </tr>\n","    <tr>\n","      <th>True</th>\n","      <td>346</td>\n","      <td>137</td>\n","    </tr>\n","  </tbody>\n","</table>\n","</div>\n","      <button class=\"colab-df-convert\" onclick=\"convertToInteractive('df-b834bbe1-b263-4d01-a4e2-5522941a600b')\"\n","              title=\"Convert this dataframe to an interactive table.\"\n","              style=\"display:none;\">\n","        \n","  <svg xmlns=\"http://www.w3.org/2000/svg\" height=\"24px\"viewBox=\"0 0 24 24\"\n","       width=\"24px\">\n","    <path d=\"M0 0h24v24H0V0z\" fill=\"none\"/>\n","    <path d=\"M18.56 5.44l.94 2.06.94-2.06 2.06-.94-2.06-.94-.94-2.06-.94 2.06-2.06.94zm-11 1L8.5 8.5l.94-2.06 2.06-.94-2.06-.94L8.5 2.5l-.94 2.06-2.06.94zm10 10l.94 2.06.94-2.06 2.06-.94-2.06-.94-.94-2.06-.94 2.06-2.06.94z\"/><path d=\"M17.41 7.96l-1.37-1.37c-.4-.4-.92-.59-1.43-.59-.52 0-1.04.2-1.43.59L10.3 9.45l-7.72 7.72c-.78.78-.78 2.05 0 2.83L4 21.41c.39.39.9.59 1.41.59.51 0 1.02-.2 1.41-.59l7.78-7.78 2.81-2.81c.8-.78.8-2.07 0-2.86zM5.41 20L4 18.59l7.72-7.72 1.47 1.35L5.41 20z\"/>\n","  </svg>\n","      </button>\n","      \n","  <style>\n","    .colab-df-container {\n","      display:flex;\n","      flex-wrap:wrap;\n","      gap: 12px;\n","    }\n","\n","    .colab-df-convert {\n","      background-color: #E8F0FE;\n","      border: none;\n","      border-radius: 50%;\n","      cursor: pointer;\n","      display: none;\n","      fill: #1967D2;\n","      height: 32px;\n","      padding: 0 0 0 0;\n","      width: 32px;\n","    }\n","\n","    .colab-df-convert:hover {\n","      background-color: #E2EBFA;\n","      box-shadow: 0px 1px 2px rgba(60, 64, 67, 0.3), 0px 1px 3px 1px rgba(60, 64, 67, 0.15);\n","      fill: #174EA6;\n","    }\n","\n","    [theme=dark] .colab-df-convert {\n","      background-color: #3B4455;\n","      fill: #D2E3FC;\n","    }\n","\n","    [theme=dark] .colab-df-convert:hover {\n","      background-color: #434B5C;\n","      box-shadow: 0px 1px 3px 1px rgba(0, 0, 0, 0.15);\n","      filter: drop-shadow(0px 1px 2px rgba(0, 0, 0, 0.3));\n","      fill: #FFFFFF;\n","    }\n","  </style>\n","\n","      <script>\n","        const buttonEl =\n","          document.querySelector('#df-b834bbe1-b263-4d01-a4e2-5522941a600b button.colab-df-convert');\n","        buttonEl.style.display =\n","          google.colab.kernel.accessAllowed ? 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Visit the ' +\n","            '<a target=\"_blank\" href=https://colab.research.google.com/notebooks/data_table.ipynb>data table notebook</a>'\n","            + ' to learn more about interactive tables.';\n","          element.innerHTML = '';\n","          dataTable['output_type'] = 'display_data';\n","          await google.colab.output.renderOutput(dataTable, element);\n","          const docLink = document.createElement('div');\n","          docLink.innerHTML = docLinkHtml;\n","          element.appendChild(docLink);\n","        }\n","      </script>\n","    </div>\n","  </div>\n","  "]},"metadata":{},"execution_count":18}]},{"cell_type":"markdown","source":["Cреднее число дневных, вечерних и ночных звонков для\n","разных Area code:"],"metadata":{"id":"S8--M_QDAEqF"}},{"cell_type":"code","source":["df.pivot_table(['Total day calls', 'Total eve calls', 'Total night calls'], ['Area code'], aggfunc = 'mean').head(10)"],"metadata":{"colab":{"base_uri":"https://localhost:8080/","height":175},"id":"NtzeQpxuAIBm","executionInfo":{"status":"ok","timestamp":1678549532851,"user_tz":-180,"elapsed":11,"user":{"displayName":"Наташа Тишина","userId":"14702279015739032258"}},"outputId":"1d8c8f49-c8ef-4ad6-d691-6ce1e2d8e1c8"},"execution_count":null,"outputs":[{"output_type":"execute_result","data":{"text/plain":["           Total day calls  Total eve calls  Total night calls\n","Area code                                                     \n","408             100.496420        99.788783          99.039379\n","415             100.576435       100.503927         100.398187\n","510             100.097619        99.671429         100.601190"],"text/html":["\n","  <div id=\"df-b3df0980-7364-4480-97cb-0d32444818f2\">\n","    <div class=\"colab-df-container\">\n","      <div>\n","<style scoped>\n","    .dataframe tbody tr th:only-of-type {\n","        vertical-align: middle;\n","    }\n","\n","    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</tbody>\n","</table>\n","</div>\n","      <button class=\"colab-df-convert\" onclick=\"convertToInteractive('df-b3df0980-7364-4480-97cb-0d32444818f2')\"\n","              title=\"Convert this dataframe to an interactive table.\"\n","              style=\"display:none;\">\n","        \n","  <svg xmlns=\"http://www.w3.org/2000/svg\" height=\"24px\"viewBox=\"0 0 24 24\"\n","       width=\"24px\">\n","    <path d=\"M0 0h24v24H0V0z\" fill=\"none\"/>\n","    <path d=\"M18.56 5.44l.94 2.06.94-2.06 2.06-.94-2.06-.94-.94-2.06-.94 2.06-2.06.94zm-11 1L8.5 8.5l.94-2.06 2.06-.94-2.06-.94L8.5 2.5l-.94 2.06-2.06.94zm10 10l.94 2.06.94-2.06 2.06-.94-2.06-.94-.94-2.06-.94 2.06-2.06.94z\"/><path d=\"M17.41 7.96l-1.37-1.37c-.4-.4-.92-.59-1.43-.59-.52 0-1.04.2-1.43.59L10.3 9.45l-7.72 7.72c-.78.78-.78 2.05 0 2.83L4 21.41c.39.39.9.59 1.41.59.51 0 1.02-.2 1.41-.59l7.78-7.78 2.81-2.81c.8-.78.8-2.07 0-2.86zM5.41 20L4 18.59l7.72-7.72 1.47 1.35L5.41 20z\"/>\n","  </svg>\n","      </button>\n","      \n","  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Visit the ' +\n","            '<a target=\"_blank\" href=https://colab.research.google.com/notebooks/data_table.ipynb>data table notebook</a>'\n","            + ' to learn more about interactive tables.';\n","          element.innerHTML = '';\n","          dataTable['output_type'] = 'display_data';\n","          await google.colab.output.renderOutput(dataTable, element);\n","          const docLink = document.createElement('div');\n","          docLink.innerHTML = docLinkHtml;\n","          element.appendChild(docLink);\n","        }\n","      </script>\n","    </div>\n","  </div>\n","  "]},"metadata":{},"execution_count":19}]},{"cell_type":"markdown","source":["**Преобразование данных**. "],"metadata":{"id":"mKMGY_f4BVP4"}},{"cell_type":"markdown","source":["Посчитаем общее количество звонков для всех\n","пользователей. Создадим объект total_calls типа Series и вставим его в датафрейм:"],"metadata":{"id":"FMtJW-NkCCeq"}},{"cell_type":"code","source":["total_calls = df['Total day calls'] + df['Total eve calls'] + df['Total night calls'] + df['Total intl calls'] \n","df.insert(loc = len(df.columns), column = 'Total calls', value=total_calls)\n","df.head()"],"metadata":{"colab":{"base_uri":"https://localhost:8080/","height":305},"id":"Dbk60lBSJVEP","executionInfo":{"status":"ok","timestamp":1678549616053,"user_tz":-180,"elapsed":251,"user":{"displayName":"Наташа Тишина","userId":"14702279015739032258"}},"outputId":"42c3df1b-06cb-453e-e862-fdf8222812db"},"execution_count":null,"outputs":[{"output_type":"execute_result","data":{"text/plain":["  State  Account length  Area code International plan Voice mail plan  \\\n","0    KS             128        415                 No             Yes   \n","1    OH             107        415                 No             Yes   \n","2    NJ             137        415                 No              No   \n","3    OH              84        408                Yes              No   \n","4    OK              75        415                Yes              No   \n","\n","   Number vmail messages  Total day minutes  Total day calls  \\\n","0                     25              265.1              110   \n","1                     26              161.6              123   \n","2                      0              243.4              114   \n","3                      0              299.4               71   \n","4                      0              166.7              113   \n","\n","   Total day charge  Total eve minutes  Total eve calls  Total eve charge  \\\n","0             45.07              197.4               99             16.78   \n","1             27.47              195.5              103             16.62   \n","2             41.38              121.2              110             10.30   \n","3             50.90               61.9               88              5.26   \n","4             28.34              148.3              122             12.61   \n","\n","   Total night minutes  Total night calls  Total night charge  \\\n","0                244.7                 91               11.01   \n","1                254.4                103               11.45   \n","2                162.6                104                7.32   \n","3                196.9                 89                8.86   \n","4                186.9                121                8.41   \n","\n","   Total intl minutes  Total intl calls  Total intl charge  \\\n","0                10.0                 3               2.70   \n","1                13.7                 3               3.70   \n","2                12.2                 5               3.29   \n","3                 6.6                 7               1.78   \n","4                10.1                 3               2.73   \n","\n","   Customer service calls  Churn  Total calls  \n","0                       1  False          303  \n","1                       1  False          332  \n","2                       0  False          333  \n","3                       2  False          255  \n","4                       3  False          359  "],"text/html":["\n","  <div id=\"df-0d4b0415-ec29-4fb7-9a49-54dd91e3c230\">\n","    <div class=\"colab-df-container\">\n","      <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>State</th>\n","      <th>Account length</th>\n","      <th>Area code</th>\n","      <th>International plan</th>\n","      <th>Voice mail plan</th>\n","      <th>Number vmail messages</th>\n","      <th>Total day minutes</th>\n","      <th>Total day calls</th>\n","      <th>Total day charge</th>\n","      <th>Total eve minutes</th>\n","      <th>Total eve calls</th>\n","      <th>Total eve charge</th>\n","      <th>Total night minutes</th>\n","      <th>Total night calls</th>\n","      <th>Total night charge</th>\n","      <th>Total intl minutes</th>\n","      <th>Total intl calls</th>\n","      <th>Total intl charge</th>\n","      <th>Customer service calls</th>\n","      <th>Churn</th>\n","      <th>Total calls</th>\n","    </tr>\n","  </thead>\n","  <tbody>\n","    <tr>\n","      <th>0</th>\n","      <td>KS</td>\n","      <td>128</td>\n","      <td>415</td>\n","      <td>No</td>\n","      <td>Yes</td>\n","      <td>25</td>\n","      <td>265.1</td>\n","      <td>110</td>\n","      <td>45.07</td>\n","      <td>197.4</td>\n","      <td>99</td>\n","      <td>16.78</td>\n","      <td>244.7</td>\n","      <td>91</td>\n","      <td>11.01</td>\n","      <td>10.0</td>\n","      <td>3</td>\n","      <td>2.70</td>\n","      <td>1</td>\n","      <td>False</td>\n","      <td>303</td>\n","    </tr>\n","    <tr>\n","      <th>1</th>\n","      <td>OH</td>\n","      <td>107</td>\n","      <td>415</td>\n","      <td>No</td>\n","      <td>Yes</td>\n","      <td>26</td>\n","      <td>161.6</td>\n","      <td>123</td>\n","      <td>27.47</td>\n","      <td>195.5</td>\n","      <td>103</td>\n","      <td>16.62</td>\n","      <td>254.4</td>\n","      <td>103</td>\n","      <td>11.45</td>\n","      <td>13.7</td>\n","      <td>3</td>\n","      <td>3.70</td>\n","      <td>1</td>\n","      <td>False</td>\n","      <td>332</td>\n","    </tr>\n","    <tr>\n","      <th>2</th>\n","      <td>NJ</td>\n","      <td>137</td>\n","      <td>415</td>\n","      <td>No</td>\n","      <td>No</td>\n","      <td>0</td>\n","      <td>243.4</td>\n","      <td>114</td>\n","      <td>41.38</td>\n","      <td>121.2</td>\n","      <td>110</td>\n","      <td>10.30</td>\n","      <td>162.6</td>\n","      <td>104</td>\n","      <td>7.32</td>\n","      <td>12.2</td>\n","      <td>5</td>\n","      <td>3.29</td>\n","      <td>0</td>\n","      <td>False</td>\n","      <td>333</td>\n","    </tr>\n","    <tr>\n","      <th>3</th>\n","      <td>OH</td>\n","      <td>84</td>\n","      <td>408</td>\n","      <td>Yes</td>\n","      <td>No</td>\n","      <td>0</td>\n","      <td>299.4</td>\n","      <td>71</td>\n","      <td>50.90</td>\n","      <td>61.9</td>\n","      <td>88</td>\n","      <td>5.26</td>\n","      <td>196.9</td>\n","      <td>89</td>\n","      <td>8.86</td>\n","      <td>6.6</td>\n","      <td>7</td>\n","      <td>1.78</td>\n","      <td>2</td>\n","      <td>False</td>\n","      <td>255</td>\n","    </tr>\n","    <tr>\n","      <th>4</th>\n","      <td>OK</td>\n","      <td>75</td>\n","      <td>415</td>\n","      <td>Yes</td>\n","      <td>No</td>\n","      <td>0</td>\n","      <td>166.7</td>\n","      <td>113</td>\n","      <td>28.34</td>\n","      <td>148.3</td>\n","      <td>122</td>\n","      <td>12.61</td>\n","      <td>186.9</td>\n","      <td>121</td>\n","      <td>8.41</td>\n","      <td>10.1</td>\n","      <td>3</td>\n","      <td>2.73</td>\n","      <td>3</td>\n","      <td>False</td>\n","      <td>359</td>\n","    </tr>\n","  </tbody>\n","</table>\n","</div>\n","      <button class=\"colab-df-convert\" onclick=\"convertToInteractive('df-0d4b0415-ec29-4fb7-9a49-54dd91e3c230')\"\n","              title=\"Convert this dataframe to an interactive table.\"\n","              style=\"display:none;\">\n","        \n","  <svg xmlns=\"http://www.w3.org/2000/svg\" height=\"24px\"viewBox=\"0 0 24 24\"\n","       width=\"24px\">\n","    <path d=\"M0 0h24v24H0V0z\" fill=\"none\"/>\n","    <path d=\"M18.56 5.44l.94 2.06.94-2.06 2.06-.94-2.06-.94-.94-2.06-.94 2.06-2.06.94zm-11 1L8.5 8.5l.94-2.06 2.06-.94-2.06-.94L8.5 2.5l-.94 2.06-2.06.94zm10 10l.94 2.06.94-2.06 2.06-.94-2.06-.94-.94-2.06-.94 2.06-2.06.94z\"/><path d=\"M17.41 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Visit the ' +\n","            '<a target=\"_blank\" href=https://colab.research.google.com/notebooks/data_table.ipynb>data table notebook</a>'\n","            + ' to learn more about interactive tables.';\n","          element.innerHTML = '';\n","          dataTable['output_type'] = 'display_data';\n","          await google.colab.output.renderOutput(dataTable, element);\n","          const docLink = document.createElement('div');\n","          docLink.innerHTML = docLinkHtml;\n","          element.appendChild(docLink);\n","        }\n","      </script>\n","    </div>\n","  </div>\n","  "]},"metadata":{},"execution_count":20}]},{"cell_type":"markdown","source":["Другой способ добавить столбец "],"metadata":{"id":"W0-BPzqjGd0d"}},{"cell_type":"code","source":["df['Total charge'] = df['Total day charge'] + df['Total eve charge'] + df['Total night charge'] + df['Total intl charge']\n","df.head()"],"metadata":{"colab":{"base_uri":"https://localhost:8080/","height":305},"id":"u13AurlvG31M","executionInfo":{"status":"ok","timestamp":1678549641201,"user_tz":-180,"elapsed":369,"user":{"displayName":"Наташа Тишина","userId":"14702279015739032258"}},"outputId":"c7929eb9-665d-4265-b565-a1caf7684f39"},"execution_count":null,"outputs":[{"output_type":"execute_result","data":{"text/plain":["  State  Account length  Area code International plan Voice mail plan  \\\n","0    KS             128        415                 No             Yes   \n","1    OH             107        415                 No             Yes   \n","2    NJ             137        415                 No              No   \n","3    OH              84        408                Yes              No   \n","4    OK              75        415                Yes              No   \n","\n","   Number vmail messages  Total day minutes  Total day calls  \\\n","0                     25              265.1              110   \n","1                     26              161.6              123   \n","2                      0              243.4              114   \n","3                      0              299.4               71   \n","4                      0              166.7              113   \n","\n","   Total day charge  Total eve minutes  Total eve calls  Total eve charge  \\\n","0             45.07              197.4               99             16.78   \n","1             27.47              195.5              103             16.62   \n","2             41.38              121.2              110             10.30   \n","3             50.90               61.9               88              5.26   \n","4             28.34              148.3              122             12.61   \n","\n","   Total night minutes  Total night calls  Total night charge  \\\n","0                244.7                 91               11.01   \n","1                254.4                103               11.45   \n","2                162.6                104                7.32   \n","3                196.9                 89                8.86   \n","4                186.9                121                8.41   \n","\n","   Total intl minutes  Total intl calls  Total intl charge  \\\n","0                10.0                 3               2.70   \n","1                13.7                 3               3.70   \n","2                12.2                 5               3.29   \n","3                 6.6                 7               1.78   \n","4                10.1                 3               2.73   \n","\n","   Customer service calls  Churn  Total calls  Total charge  \n","0                       1  False          303         75.56  \n","1                       1  False          332         59.24  \n","2                       0  False          333         62.29  \n","3                       2  False          255         66.80  \n","4                       3  False          359         52.09  "],"text/html":["\n","  <div id=\"df-cfa83c01-0155-44d5-a71f-88ab7313c9cc\">\n","    <div class=\"colab-df-container\">\n","      <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>State</th>\n","      <th>Account length</th>\n","      <th>Area code</th>\n","      <th>International plan</th>\n","      <th>Voice mail plan</th>\n","      <th>Number vmail messages</th>\n","      <th>Total day minutes</th>\n","      <th>Total day calls</th>\n","      <th>Total day charge</th>\n","      <th>Total eve minutes</th>\n","      <th>Total eve calls</th>\n","      <th>Total eve charge</th>\n","      <th>Total night minutes</th>\n","      <th>Total night calls</th>\n","      <th>Total night charge</th>\n","      <th>Total intl minutes</th>\n","      <th>Total intl calls</th>\n","      <th>Total intl charge</th>\n","      <th>Customer service calls</th>\n","      <th>Churn</th>\n","      <th>Total calls</th>\n","      <th>Total charge</th>\n","    </tr>\n","  </thead>\n","  <tbody>\n","    <tr>\n","      <th>0</th>\n","      <td>KS</td>\n","      <td>128</td>\n","      <td>415</td>\n","      <td>No</td>\n","      <td>Yes</td>\n","      <td>25</td>\n","      <td>265.1</td>\n","      <td>110</td>\n","      <td>45.07</td>\n","      <td>197.4</td>\n","      <td>99</td>\n","      <td>16.78</td>\n","      <td>244.7</td>\n","      <td>91</td>\n","      <td>11.01</td>\n","      <td>10.0</td>\n","      <td>3</td>\n","      <td>2.70</td>\n","      <td>1</td>\n","      <td>False</td>\n","      <td>303</td>\n","      <td>75.56</td>\n","    </tr>\n","    <tr>\n","      <th>1</th>\n","      <td>OH</td>\n","      <td>107</td>\n","      <td>415</td>\n","      <td>No</td>\n","      <td>Yes</td>\n","      <td>26</td>\n","      <td>161.6</td>\n","      <td>123</td>\n","      <td>27.47</td>\n","      <td>195.5</td>\n","      <td>103</td>\n","      <td>16.62</td>\n","      <td>254.4</td>\n","      <td>103</td>\n","      <td>11.45</td>\n","      <td>13.7</td>\n","      <td>3</td>\n","      <td>3.70</td>\n","      <td>1</td>\n","      <td>False</td>\n","      <td>332</td>\n","      <td>59.24</td>\n","    </tr>\n","    <tr>\n","      <th>2</th>\n","      <td>NJ</td>\n","      <td>137</td>\n","      <td>415</td>\n","      <td>No</td>\n","      <td>No</td>\n","      <td>0</td>\n","      <td>243.4</td>\n","      <td>114</td>\n","      <td>41.38</td>\n","      <td>121.2</td>\n","      <td>110</td>\n","      <td>10.30</td>\n","      <td>162.6</td>\n","      <td>104</td>\n","      <td>7.32</td>\n","      <td>12.2</td>\n","      <td>5</td>\n","      <td>3.29</td>\n","      <td>0</td>\n","      <td>False</td>\n","      <td>333</td>\n","      <td>62.29</td>\n","    </tr>\n","    <tr>\n","      <th>3</th>\n","      <td>OH</td>\n","      <td>84</td>\n","      <td>408</td>\n","      <td>Yes</td>\n","      <td>No</td>\n","      <td>0</td>\n","      <td>299.4</td>\n","      <td>71</td>\n","      <td>50.90</td>\n","      <td>61.9</td>\n","      <td>88</td>\n","      <td>5.26</td>\n","      <td>196.9</td>\n","      <td>89</td>\n","      <td>8.86</td>\n","      <td>6.6</td>\n","      <td>7</td>\n","      <td>1.78</td>\n","      <td>2</td>\n","      <td>False</td>\n","      <td>255</td>\n","      <td>66.80</td>\n","    </tr>\n","    <tr>\n","      <th>4</th>\n","      <td>OK</td>\n","      <td>75</td>\n","      <td>415</td>\n","      <td>Yes</td>\n","      <td>No</td>\n","      <td>0</td>\n","      <td>166.7</td>\n","      <td>113</td>\n","      <td>28.34</td>\n","      <td>148.3</td>\n","      <td>122</td>\n","      <td>12.61</td>\n","      <td>186.9</td>\n","      <td>121</td>\n","      <td>8.41</td>\n","      <td>10.1</td>\n","      <td>3</td>\n","      <td>2.73</td>\n","      <td>3</td>\n","      <td>False</td>\n","      <td>359</td>\n","      <td>52.09</td>\n","    </tr>\n","  </tbody>\n","</table>\n","</div>\n","      <button class=\"colab-df-convert\" onclick=\"convertToInteractive('df-cfa83c01-0155-44d5-a71f-88ab7313c9cc')\"\n","              title=\"Convert this dataframe to an interactive table.\"\n","              style=\"display:none;\">\n","        \n","  <svg xmlns=\"http://www.w3.org/2000/svg\" height=\"24px\"viewBox=\"0 0 24 24\"\n","       width=\"24px\">\n","    <path d=\"M0 0h24v24H0V0z\" fill=\"none\"/>\n","    <path d=\"M18.56 5.44l.94 2.06.94-2.06 2.06-.94-2.06-.94-.94-2.06-.94 2.06-2.06.94zm-11 1L8.5 8.5l.94-2.06 2.06-.94-2.06-.94L8.5 2.5l-.94 2.06-2.06.94zm10 10l.94 2.06.94-2.06 2.06-.94-2.06-.94-.94-2.06-.94 2.06-2.06.94z\"/><path d=\"M17.41 7.96l-1.37-1.37c-.4-.4-.92-.59-1.43-.59-.52 0-1.04.2-1.43.59L10.3 9.45l-7.72 7.72c-.78.78-.78 2.05 0 2.83L4 21.41c.39.39.9.59 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Visit the ' +\n","            '<a target=\"_blank\" href=https://colab.research.google.com/notebooks/data_table.ipynb>data table notebook</a>'\n","            + ' to learn more about interactive tables.';\n","          element.innerHTML = '';\n","          dataTable['output_type'] = 'display_data';\n","          await google.colab.output.renderOutput(dataTable, element);\n","          const docLink = document.createElement('div');\n","          docLink.innerHTML = docLinkHtml;\n","          element.appendChild(docLink);\n","        }\n","      </script>\n","    </div>\n","  </div>\n","  "]},"metadata":{},"execution_count":21}]},{"cell_type":"markdown","source":["**Удаление столбцов или строк**. \n","\n","**Метод drop**  требует значение параметра axis (1, если удаляете столбцы, и ничего или 0, если удаляете строки):\n"],"metadata":{"id":"ONLeoaFEJiIj"}},{"cell_type":"code","source":["# удаление созданного столбца\n","df = df.drop(['Total calls'], axis=1)"],"metadata":{"id":"C3eTLahHJ_8G"},"execution_count":null,"outputs":[]},{"cell_type":"code","source":["# удаление строк\n","df.drop([1,2]).head()"],"metadata":{"colab":{"base_uri":"https://localhost:8080/","height":305},"id":"_Oa6IdTCVSo5","executionInfo":{"status":"ok","timestamp":1678549672065,"user_tz":-180,"elapsed":255,"user":{"displayName":"Наташа Тишина","userId":"14702279015739032258"}},"outputId":"bd0237bd-ea29-4670-e074-36a5007e56fb"},"execution_count":null,"outputs":[{"output_type":"execute_result","data":{"text/plain":["  State  Account length  Area code International plan Voice mail plan  \\\n","0    KS             128        415                 No             Yes   \n","3    OH              84        408                Yes              No   \n","4    OK              75        415                Yes              No   \n","5    AL             118        510                Yes              No   \n","6    MA             121        510                 No             Yes   \n","\n","   Number vmail messages  Total day minutes  Total day calls  \\\n","0                     25              265.1              110   \n","3                      0              299.4               71   \n","4                      0              166.7              113   \n","5                      0              223.4               98   \n","6                     24              218.2               88   \n","\n","   Total day charge  Total eve minutes  Total eve calls  Total eve charge  \\\n","0             45.07              197.4               99             16.78   \n","3             50.90               61.9               88              5.26   \n","4             28.34              148.3              122             12.61   \n","5             37.98              220.6              101             18.75   \n","6             37.09              348.5              108             29.62   \n","\n","   Total night minutes  Total night calls  Total night charge  \\\n","0                244.7                 91               11.01   \n","3                196.9                 89                8.86   \n","4                186.9                121                8.41   \n","5                203.9                118                9.18   \n","6                212.6                118                9.57   \n","\n","   Total intl minutes  Total intl calls  Total intl charge  \\\n","0                10.0                 3               2.70   \n","3                 6.6                 7               1.78   \n","4                10.1                 3               2.73   \n","5                 6.3                 6               1.70   \n","6                 7.5                 7               2.03   \n","\n","   Customer service calls  Churn  Total charge  \n","0                       1  False         75.56  \n","3                       2  False         66.80  \n","4                       3  False         52.09  \n","5                       0  False         67.61  \n","6                       3  False         78.31  "],"text/html":["\n","  <div id=\"df-0ad48997-a656-4b4f-adb8-75402978e92c\">\n","    <div class=\"colab-df-container\">\n","      <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>State</th>\n","      <th>Account length</th>\n","      <th>Area code</th>\n","      <th>International plan</th>\n","      <th>Voice mail plan</th>\n","      <th>Number vmail messages</th>\n","      <th>Total day minutes</th>\n","      <th>Total day calls</th>\n","      <th>Total day charge</th>\n","      <th>Total eve minutes</th>\n","      <th>Total eve calls</th>\n","      <th>Total eve charge</th>\n","      <th>Total night minutes</th>\n","      <th>Total night calls</th>\n","      <th>Total night charge</th>\n","      <th>Total intl minutes</th>\n","      <th>Total intl calls</th>\n","      <th>Total intl charge</th>\n","      <th>Customer service calls</th>\n","      <th>Churn</th>\n","      <th>Total charge</th>\n","    </tr>\n","  </thead>\n","  <tbody>\n","    <tr>\n","      <th>0</th>\n","      <td>KS</td>\n","      <td>128</td>\n","      <td>415</td>\n","      <td>No</td>\n","      <td>Yes</td>\n","      <td>25</td>\n","      <td>265.1</td>\n","      <td>110</td>\n","      <td>45.07</td>\n","      <td>197.4</td>\n","      <td>99</td>\n","      <td>16.78</td>\n","      <td>244.7</td>\n","      <td>91</td>\n","      <td>11.01</td>\n","      <td>10.0</td>\n","      <td>3</td>\n","      <td>2.70</td>\n","      <td>1</td>\n","      <td>False</td>\n","      <td>75.56</td>\n","    </tr>\n","    <tr>\n","      <th>3</th>\n","      <td>OH</td>\n","      <td>84</td>\n","      <td>408</td>\n","      <td>Yes</td>\n","      <td>No</td>\n","      <td>0</td>\n","      <td>299.4</td>\n","      <td>71</td>\n","      <td>50.90</td>\n","      <td>61.9</td>\n","      <td>88</td>\n","      <td>5.26</td>\n","      <td>196.9</td>\n","      <td>89</td>\n","      <td>8.86</td>\n","      <td>6.6</td>\n","      <td>7</td>\n","      <td>1.78</td>\n","      <td>2</td>\n","      <td>False</td>\n","      <td>66.80</td>\n","    </tr>\n","    <tr>\n","      <th>4</th>\n","      <td>OK</td>\n","      <td>75</td>\n","      <td>415</td>\n","      <td>Yes</td>\n","      <td>No</td>\n","      <td>0</td>\n","      <td>166.7</td>\n","      <td>113</td>\n","      <td>28.34</td>\n","      <td>148.3</td>\n","      <td>122</td>\n","      <td>12.61</td>\n","      <td>186.9</td>\n","      <td>121</td>\n","      <td>8.41</td>\n","      <td>10.1</td>\n","      <td>3</td>\n","      <td>2.73</td>\n","      <td>3</td>\n","      <td>False</td>\n","      <td>52.09</td>\n","    </tr>\n","    <tr>\n","      <th>5</th>\n","      <td>AL</td>\n","      <td>118</td>\n","      <td>510</td>\n","      <td>Yes</td>\n","      <td>No</td>\n","      <td>0</td>\n","      <td>223.4</td>\n","      <td>98</td>\n","      <td>37.98</td>\n","      <td>220.6</td>\n","      <td>101</td>\n","      <td>18.75</td>\n","      <td>203.9</td>\n","      <td>118</td>\n","      <td>9.18</td>\n","      <td>6.3</td>\n","      <td>6</td>\n","      <td>1.70</td>\n","      <td>0</td>\n","      <td>False</td>\n","      <td>67.61</td>\n","    </tr>\n","    <tr>\n","      <th>6</th>\n","      <td>MA</td>\n","      <td>121</td>\n","      <td>510</td>\n","      <td>No</td>\n","      <td>Yes</td>\n","      <td>24</td>\n","      <td>218.2</td>\n","      <td>88</td>\n","      <td>37.09</td>\n","      <td>348.5</td>\n","      <td>108</td>\n","      <td>29.62</td>\n","      <td>212.6</td>\n","      <td>118</td>\n","      <td>9.57</td>\n","      <td>7.5</td>\n","      <td>7</td>\n","      <td>2.03</td>\n","      <td>3</td>\n","      <td>False</td>\n","      <td>78.31</td>\n","    </tr>\n","  </tbody>\n","</table>\n","</div>\n","      <button class=\"colab-df-convert\" onclick=\"convertToInteractive('df-0ad48997-a656-4b4f-adb8-75402978e92c')\"\n","              title=\"Convert this dataframe to an interactive table.\"\n","              style=\"display:none;\">\n","        \n","  <svg xmlns=\"http://www.w3.org/2000/svg\" height=\"24px\"viewBox=\"0 0 24 24\"\n","       width=\"24px\">\n","    <path d=\"M0 0h24v24H0V0z\" fill=\"none\"/>\n","    <path d=\"M18.56 5.44l.94 2.06.94-2.06 2.06-.94-2.06-.94-.94-2.06-.94 2.06-2.06.94zm-11 1L8.5 8.5l.94-2.06 2.06-.94-2.06-.94L8.5 2.5l-.94 2.06-2.06.94zm10 10l.94 2.06.94-2.06 2.06-.94-2.06-.94-.94-2.06-.94 2.06-2.06.94z\"/><path d=\"M17.41 7.96l-1.37-1.37c-.4-.4-.92-.59-1.43-.59-.52 0-1.04.2-1.43.59L10.3 9.45l-7.72 7.72c-.78.78-.78 2.05 0 2.83L4 21.41c.39.39.9.59 1.41.59.51 0 1.02-.2 1.41-.59l7.78-7.78 2.81-2.81c.8-.78.8-2.07 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Visit the ' +\n","            '<a target=\"_blank\" href=https://colab.research.google.com/notebooks/data_table.ipynb>data table notebook</a>'\n","            + ' to learn more about interactive tables.';\n","          element.innerHTML = '';\n","          dataTable['output_type'] = 'display_data';\n","          await google.colab.output.renderOutput(dataTable, element);\n","          const docLink = document.createElement('div');\n","          docLink.innerHTML = docLinkHtml;\n","          element.appendChild(docLink);\n","        }\n","      </script>\n","    </div>\n","  </div>\n","  "]},"metadata":{},"execution_count":23}]},{"cell_type":"markdown","source":["Посмотрим, как связан отток пользователей (Churn) с признаком \"Подключение международного роуминга\" (International plan). "],"metadata":{"id":"QUAHscQFXKwK"}},{"cell_type":"markdown","source":["Построим таблицы сопряженности по 2 параметрам: True - относительная (сумма всех = 1) и False - абсолютная частота встреч значений."],"metadata":{"id":"wi-sX3MQZ3du"}},{"cell_type":"code","source":["pd.crosstab(df['Churn'], df['Voice mail plan'], normalize = False)"],"metadata":{"colab":{"base_uri":"https://localhost:8080/","height":143},"id":"DALIv7RNZl07","executionInfo":{"status":"ok","timestamp":1678550410144,"user_tz":-180,"elapsed":11,"user":{"displayName":"Наташа Тишина","userId":"14702279015739032258"}},"outputId":"4e73e33b-e1cb-4ec7-cdef-b77e152a5112"},"execution_count":null,"outputs":[{"output_type":"execute_result","data":{"text/plain":["Voice mail plan    No  Yes\n","Churn                     \n","False            2008  842\n","True              403   80"],"text/html":["\n","  <div id=\"df-1bcc502e-9171-4f12-9001-28f815d5d55e\">\n","    <div class=\"colab-df-container\">\n","      <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>Voice mail plan</th>\n","      <th>No</th>\n","      <th>Yes</th>\n","    </tr>\n","    <tr>\n","      <th>Churn</th>\n","      <th></th>\n","      <th></th>\n","    </tr>\n","  </thead>\n","  <tbody>\n","    <tr>\n","      <th>False</th>\n","      <td>2008</td>\n","      <td>842</td>\n","    </tr>\n","    <tr>\n","      <th>True</th>\n","      <td>403</td>\n","      <td>80</td>\n","    </tr>\n","  </tbody>\n","</table>\n","</div>\n","      <button class=\"colab-df-convert\" onclick=\"convertToInteractive('df-1bcc502e-9171-4f12-9001-28f815d5d55e')\"\n","              title=\"Convert this dataframe to an interactive table.\"\n","              style=\"display:none;\">\n","        \n","  <svg xmlns=\"http://www.w3.org/2000/svg\" height=\"24px\"viewBox=\"0 0 24 24\"\n","       width=\"24px\">\n","    <path d=\"M0 0h24v24H0V0z\" fill=\"none\"/>\n","    <path d=\"M18.56 5.44l.94 2.06.94-2.06 2.06-.94-2.06-.94-.94-2.06-.94 2.06-2.06.94zm-11 1L8.5 8.5l.94-2.06 2.06-.94-2.06-.94L8.5 2.5l-.94 2.06-2.06.94zm10 10l.94 2.06.94-2.06 2.06-.94-2.06-.94-.94-2.06-.94 2.06-2.06.94z\"/><path d=\"M17.41 7.96l-1.37-1.37c-.4-.4-.92-.59-1.43-.59-.52 0-1.04.2-1.43.59L10.3 9.45l-7.72 7.72c-.78.78-.78 2.05 0 2.83L4 21.41c.39.39.9.59 1.41.59.51 0 1.02-.2 1.41-.59l7.78-7.78 2.81-2.81c.8-.78.8-2.07 0-2.86zM5.41 20L4 18.59l7.72-7.72 1.47 1.35L5.41 20z\"/>\n","  </svg>\n","      </button>\n","      \n","  <style>\n","    .colab-df-container {\n","      display:flex;\n","      flex-wrap:wrap;\n","      gap: 12px;\n","    }\n","\n","    .colab-df-convert {\n","      background-color: #E8F0FE;\n","      border: none;\n","      border-radius: 50%;\n","      cursor: pointer;\n","      display: none;\n","      fill: #1967D2;\n","      height: 32px;\n","      padding: 0 0 0 0;\n","      width: 32px;\n","    }\n","\n","    .colab-df-convert:hover {\n","      background-color: #E2EBFA;\n","      box-shadow: 0px 1px 2px rgba(60, 64, 67, 0.3), 0px 1px 3px 1px rgba(60, 64, 67, 0.15);\n","      fill: #174EA6;\n","    }\n","\n","    [theme=dark] .colab-df-convert {\n","      background-color: #3B4455;\n","      fill: #D2E3FC;\n","    }\n","\n","    [theme=dark] .colab-df-convert:hover {\n","      background-color: #434B5C;\n","      box-shadow: 0px 1px 3px 1px rgba(0, 0, 0, 0.15);\n","      filter: drop-shadow(0px 1px 2px rgba(0, 0, 0, 0.3));\n","      fill: #FFFFFF;\n","    }\n","  </style>\n","\n","      <script>\n","        const buttonEl =\n","          document.querySelector('#df-1bcc502e-9171-4f12-9001-28f815d5d55e button.colab-df-convert');\n","        buttonEl.style.display =\n","          google.colab.kernel.accessAllowed ? 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Visit the ' +\n","            '<a target=\"_blank\" href=https://colab.research.google.com/notebooks/data_table.ipynb>data table notebook</a>'\n","            + ' to learn more about interactive tables.';\n","          element.innerHTML = '';\n","          dataTable['output_type'] = 'display_data';\n","          await google.colab.output.renderOutput(dataTable, element);\n","          const docLink = document.createElement('div');\n","          docLink.innerHTML = docLinkHtml;\n","          element.appendChild(docLink);\n","        }\n","      </script>\n","    </div>\n","  </div>\n","  "]},"metadata":{},"execution_count":35}]},{"cell_type":"code","source":["pd.crosstab(df['Churn'], df['International plan'], normalize = False)"],"metadata":{"colab":{"base_uri":"https://localhost:8080/","height":143},"id":"iDCSOCzS6KsY","executionInfo":{"status":"ok","timestamp":1678550790351,"user_tz":-180,"elapsed":271,"user":{"displayName":"Наташа Тишина","userId":"14702279015739032258"}},"outputId":"b8a893fa-e4d7-428b-9397-7128677de8f9"},"execution_count":null,"outputs":[{"output_type":"execute_result","data":{"text/plain":["International plan    No  Yes\n","Churn                        \n","False               2664  186\n","True                 346  137"],"text/html":["\n","  <div id=\"df-8ec21ccf-6045-4a66-981f-8d130fa6da95\">\n","    <div class=\"colab-df-container\">\n","      <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>International plan</th>\n","      <th>No</th>\n","      <th>Yes</th>\n","    </tr>\n","    <tr>\n","      <th>Churn</th>\n","      <th></th>\n","      <th></th>\n","    </tr>\n","  </thead>\n","  <tbody>\n","    <tr>\n","      <th>False</th>\n","      <td>2664</td>\n","      <td>186</td>\n","    </tr>\n","    <tr>\n","      <th>True</th>\n","      <td>346</td>\n","      <td>137</td>\n","    </tr>\n","  </tbody>\n","</table>\n","</div>\n","      <button class=\"colab-df-convert\" onclick=\"convertToInteractive('df-8ec21ccf-6045-4a66-981f-8d130fa6da95')\"\n","              title=\"Convert this dataframe to an interactive table.\"\n","              style=\"display:none;\">\n","        \n","  <svg xmlns=\"http://www.w3.org/2000/svg\" height=\"24px\"viewBox=\"0 0 24 24\"\n","       width=\"24px\">\n","    <path d=\"M0 0h24v24H0V0z\" fill=\"none\"/>\n","    <path d=\"M18.56 5.44l.94 2.06.94-2.06 2.06-.94-2.06-.94-.94-2.06-.94 2.06-2.06.94zm-11 1L8.5 8.5l.94-2.06 2.06-.94-2.06-.94L8.5 2.5l-.94 2.06-2.06.94zm10 10l.94 2.06.94-2.06 2.06-.94-2.06-.94-.94-2.06-.94 2.06-2.06.94z\"/><path d=\"M17.41 7.96l-1.37-1.37c-.4-.4-.92-.59-1.43-.59-.52 0-1.04.2-1.43.59L10.3 9.45l-7.72 7.72c-.78.78-.78 2.05 0 2.83L4 21.41c.39.39.9.59 1.41.59.51 0 1.02-.2 1.41-.59l7.78-7.78 2.81-2.81c.8-.78.8-2.07 0-2.86zM5.41 20L4 18.59l7.72-7.72 1.47 1.35L5.41 20z\"/>\n","  </svg>\n","      </button>\n","      \n","  <style>\n","    .colab-df-container {\n","      display:flex;\n","      flex-wrap:wrap;\n","      gap: 12px;\n","    }\n","\n","    .colab-df-convert {\n","      background-color: #E8F0FE;\n","      border: none;\n","      border-radius: 50%;\n","      cursor: pointer;\n","      display: none;\n","      fill: #1967D2;\n","      height: 32px;\n","      padding: 0 0 0 0;\n","      width: 32px;\n","    }\n","\n","    .colab-df-convert:hover {\n","      background-color: #E2EBFA;\n","      box-shadow: 0px 1px 2px rgba(60, 64, 67, 0.3), 0px 1px 3px 1px rgba(60, 64, 67, 0.15);\n","      fill: #174EA6;\n","    }\n","\n","    [theme=dark] .colab-df-convert {\n","      background-color: #3B4455;\n","      fill: #D2E3FC;\n","    }\n","\n","    [theme=dark] .colab-df-convert:hover {\n","      background-color: #434B5C;\n","      box-shadow: 0px 1px 3px 1px rgba(0, 0, 0, 0.15);\n","      filter: drop-shadow(0px 1px 2px rgba(0, 0, 0, 0.3));\n","      fill: #FFFFFF;\n","    }\n","  </style>\n","\n","      <script>\n","        const buttonEl =\n","          document.querySelector('#df-8ec21ccf-6045-4a66-981f-8d130fa6da95 button.colab-df-convert');\n","        buttonEl.style.display =\n","          google.colab.kernel.accessAllowed ? 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code'],aggfunc='mean').head(10)"],"metadata":{"colab":{"base_uri":"https://localhost:8080/","height":175},"id":"JaW_e9H8bn9U","executionInfo":{"status":"ok","timestamp":1678550963101,"user_tz":-180,"elapsed":262,"user":{"displayName":"Наташа Тишина","userId":"14702279015739032258"}},"outputId":"ee2fd116-3627-4606-e751-cbff2285aefd"},"execution_count":null,"outputs":[{"output_type":"execute_result","data":{"text/plain":["           Total day calls  Total eve calls  Total night calls\n","Area code                                                     \n","408             100.496420        99.788783          99.039379\n","415             100.576435       100.503927         100.398187\n","510             100.097619        99.671429         100.601190"],"text/html":["\n","  <div id=\"df-177358fd-1732-4c4f-ab74-be89196b4632\">\n","    <div class=\"colab-df-container\">\n","      <div>\n","<style scoped>\n","    .dataframe tbody tr th:only-of-type {\n","        vertical-align: middle;\n","    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Visit the ' +\n","            '<a target=\"_blank\" href=https://colab.research.google.com/notebooks/data_table.ipynb>data table notebook</a>'\n","            + ' to learn more about interactive tables.';\n","          element.innerHTML = '';\n","          dataTable['output_type'] = 'display_data';\n","          await google.colab.output.renderOutput(dataTable, element);\n","          const docLink = document.createElement('div');\n","          docLink.innerHTML = docLinkHtml;\n","          element.appendChild(docLink);\n","        }\n","      </script>\n","    </div>\n","  </div>\n","  "]},"metadata":{},"execution_count":40}]},{"cell_type":"code","source":["import seaborn as sns\n","ax=sns.countplot(x = 'International plan', hue = 'Churn', palette = 'winter', data = df)"],"metadata":{"colab":{"base_uri":"https://localhost:8080/","height":279},"id":"2cQ_yLlj-ivR","executionInfo":{"status":"ok","timestamp":1678549693077,"user_tz":-180,"elapsed":1500,"user":{"displayName":"Наташа Тишина","userId":"14702279015739032258"}},"outputId":"be3ab47e-f145-4088-ee61-de6e1f78fc95"},"execution_count":null,"outputs":[{"output_type":"display_data","data":{"text/plain":["<Figure size 432x288 with 1 Axes>"],"image/png":"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\n"},"metadata":{"needs_background":"light"}}]},{"cell_type":"markdown","source":["**Вывод**: доля оттока резко возрастает, когда роуминг подключен. Возможно, большие и плохо контролируемые траты в роуминге приводят к недовольству и оттоку пользователей.\n"],"metadata":{"id":"1Ifjmsk9-hcY"}},{"cell_type":"markdown","source":["Далее посмотрим на еще один важный признак – \"Число обращений в сервисный центр\" (Customer service calls). Построим сводную таблицу и визуализацию в Seaborn"],"metadata":{"id":"UFqqNmIhCEpK"}},{"cell_type":"code","source":["pd.crosstab(df['Churn'], df['Customer service calls'], margins = True)"],"metadata":{"colab":{"base_uri":"https://localhost:8080/","height":175},"id":"TOid8aL6DFW8","executionInfo":{"status":"ok","timestamp":1678549751830,"user_tz":-180,"elapsed":262,"user":{"displayName":"Наташа Тишина","userId":"14702279015739032258"}},"outputId":"f398604d-6cad-443e-afae-184e670a44ad"},"execution_count":null,"outputs":[{"output_type":"execute_result","data":{"text/plain":["Customer service calls    0     1    2    3    4   5   6  7  8  9   All\n","Churn                                                                  \n","False                   605  1059  672  385   90  26   8  4  1  0  2850\n","True                     92   122   87   44   76  40  14  5  1  2   483\n","All                     697  1181  759  429  166  66  22  9  2  2  3333"],"text/html":["\n","  <div 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\n"},"metadata":{"needs_background":"light"}}]},{"cell_type":"markdown","source":["На графике видно, как доля оттока сильно возрастает, начиная с 4 звонков в сервисный центр."],"metadata":{"id":"ZujYzFUrFS4H"}},{"cell_type":"markdown","source":["Добавляем бинарный признак - результат сравнения Customer service calls > 3."],"metadata":{"id":"SojHqHazFdmx"}},{"cell_type":"code","source":["df['Many_service_calls'] = (df['Customer service calls'] > 3).astype('int')\n","pd.crosstab(df[\"Many_service_calls\"], df['Churn'], margins = True)"],"metadata":{"colab":{"base_uri":"https://localhost:8080/","height":175},"id":"idNf1nQFH2Ia","executionInfo":{"status":"ok","timestamp":1678549885512,"user_tz":-180,"elapsed":11,"user":{"displayName":"Наташа Тишина","userId":"14702279015739032258"}},"outputId":"4cc062da-847a-4d24-b850-8bd4442fa613"},"execution_count":null,"outputs":[{"output_type":"execute_result","data":{"text/plain":["Churn               False  True   All\n","Many_service_calls                   \n","0                    2721   345  3066\n","1                     129   138   267\n","All                  2850   483  3333"],"text/html":["\n","  <div id=\"df-e731f7d7-e0af-4d93-a9e4-1cd5a38e1f1d\">\n","    <div class=\"colab-df-container\">\n","      <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>Churn</th>\n","      <th>False</th>\n","      <th>True</th>\n","      <th>All</th>\n","    </tr>\n","    <tr>\n","      <th>Many_service_calls</th>\n","      <th></th>\n","      <th></th>\n","      <th></th>\n","    </tr>\n","  </thead>\n","  <tbody>\n","    <tr>\n","      <th>0</th>\n","      <td>2721</td>\n","      <td>345</td>\n","      <td>3066</td>\n","    </tr>\n","    <tr>\n","      <th>1</th>\n","      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Тишина","userId":"14702279015739032258"}},"outputId":"19bb4ea6-90ed-41da-a5a6-ec8c5ed6b854"},"execution_count":null,"outputs":[{"output_type":"display_data","data":{"text/plain":["<Figure size 432x288 with 1 Axes>"],"image/png":"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\n"},"metadata":{"needs_background":"light"}}]},{"cell_type":"code","source":["import 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True)"],"metadata":{"colab":{"base_uri":"https://localhost:8080/","height":175},"id":"AXgvFnNYfgdD","executionInfo":{"status":"ok","timestamp":1678552468246,"user_tz":-180,"elapsed":265,"user":{"displayName":"Наташа Тишина","userId":"14702279015739032258"}},"outputId":"d0c8991f-4d16-4a3c-b7ef-db573e014aaa"},"execution_count":null,"outputs":[{"output_type":"execute_result","data":{"text/plain":["Churn             False  True   All\n","Excellent charge                   \n","0                  2779   276  3055\n","1                    71   207   278\n","All                2850   483  3333"],"text/html":["\n","  <div id=\"df-29d20477-2a57-4044-bddf-a99ce3de9248\">\n","    <div class=\"colab-df-container\">\n","      <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","    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Соответственно нужно придумывать более дешевые тарифы и уточнять за счет чего получается большая оплата."],"metadata":{"id":"GNkQGwDYhrLl"}},{"cell_type":"code","source":["from pandas import DataFrame"],"metadata":{"id":"fYVE512eMiL9"},"execution_count":null,"outputs":[]},{"cell_type":"code","source":["columns_num = DataFrame(df,columns=['Total day minutes', 'Total day calls', 'Total day charge', 'Customer service calls', 'Churn'])"],"metadata":{"id":"4iw7UewbMmaM"},"execution_count":null,"outputs":[]},{"cell_type":"code","source":["px.histogram(df, x = 'Customer service calls', color='Churn')"],"metadata":{"colab":{"base_uri":"https://localhost:8080/","height":542},"id":"1bc6B94-M6Ss","executionInfo":{"status":"ok","timestamp":1678553792225,"user_tz":-180,"elapsed":11,"user":{"displayName":"Наташа 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Начиная с 4 звонков зона перекрытия практически отсутствует и недовольство не имеет отношения к дневной плате, т.к. нелояльные клиенты платят меньше. (Предположение: возможно более дешевый тариф имеет ограничение по количеству времени)."],"metadata":{"id":"kHQUkRWVNk_n"}},{"cell_type":"code","source":["sns.histplot(data = df, x = \"Total day charge\", binwidth = 0.5, hue = \"Churn\")"],"metadata":{"colab":{"base_uri":"https://localhost:8080/","height":296},"id":"dVYVMN4JOVT9","executionInfo":{"status":"ok","timestamp":1678553456558,"user_tz":-180,"elapsed":1076,"user":{"displayName":"Наташа Тишина","userId":"14702279015739032258"}},"outputId":"0006fb9e-efe5-40c2-ad81-538bc663f457"},"execution_count":null,"outputs":[{"output_type":"execute_result","data":{"text/plain":["<AxesSubplot:xlabel='Total day charge', ylabel='Count'>"]},"metadata":{},"execution_count":59},{"output_type":"display_data","data":{"text/plain":["<Figure size 432x288 with 1 Axes>"],"image/png":"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\n"},"metadata":{"needs_background":"light"}}]},{"cell_type":"code","source":["sns.histplot(data = df, x = \"Total eve charge\", binwidth = 0.5, hue = \"Churn\")"],"metadata":{"colab":{"base_uri":"https://localhost:8080/","height":296},"id":"61PSWuQnOWN9","executionInfo":{"status":"ok","timestamp":1678553464475,"user_tz":-180,"elapsed":778,"user":{"displayName":"Наташа Тишина","userId":"14702279015739032258"}},"outputId":"23734d40-278c-46be-9ebf-3091a4d4e684"},"execution_count":null,"outputs":[{"output_type":"execute_result","data":{"text/plain":["<AxesSubplot:xlabel='Total eve charge', ylabel='Count'>"]},"metadata":{},"execution_count":60},{"output_type":"display_data","data":{"text/plain":["<Figure size 432x288 with 1 Axes>"],"image/png":"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\n"},"metadata":{"needs_background":"light"}}]},{"cell_type":"code","source":["sns.histplot(data = df, x = \"Total night charge\", binwidth = 0.5, hue = \"Churn\")"],"metadata":{"colab":{"base_uri":"https://localhost:8080/","height":296},"id":"iV1nuc8_Oafb","executionInfo":{"status":"ok","timestamp":1678553471830,"user_tz":-180,"elapsed":658,"user":{"displayName":"Наташа Тишина","userId":"14702279015739032258"}},"outputId":"5fe1cb38-6b7f-4b6c-9522-3c7ecbb09e30"},"execution_count":null,"outputs":[{"output_type":"execute_result","data":{"text/plain":["<AxesSubplot:xlabel='Total night charge', ylabel='Count'>"]},"metadata":{},"execution_count":61},{"output_type":"display_data","data":{"text/plain":["<Figure size 432x288 with 1 Axes>"],"image/png":"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\n"},"metadata":{"needs_background":"light"}}]},{"cell_type":"markdown","source":["Выше представлены гистограммы зависимости лояльности и платы в разное время суток. На них можно заметить, что вечером и ночью распределение носит \"нормальный\" характер, а в дневное время возрастание платы приводит к оттоку почти половины клиентов."],"metadata":{"id":"ZFqCCApzOh4l"}},{"cell_type":"code","source":["sns.histplot(data = df, x = \"Total day minutes\", binwidth = 10, hue = \"Churn\")"],"metadata":{"colab":{"base_uri":"https://localhost:8080/","height":299},"id":"0HXJ61bMPTz-","executionInfo":{"status":"ok","timestamp":1678553541991,"user_tz":-180,"elapsed":489,"user":{"displayName":"Наташа Тишина","userId":"14702279015739032258"}},"outputId":"1ad6df48-ea4a-480d-b7d8-5faf76b9febc"},"execution_count":null,"outputs":[{"output_type":"execute_result","data":{"text/plain":["<AxesSubplot:xlabel='Total day minutes', ylabel='Count'>"]},"metadata":{},"execution_count":62},{"output_type":"display_data","data":{"text/plain":["<Figure size 432x288 with 1 Axes>"],"image/png":"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\n"},"metadata":{"needs_background":"light"}}]},{"cell_type":"code","source":["sns.histplot(data = df, x = \"Total eve minutes\", binwidth = 10, hue = \"Churn\")"],"metadata":{"colab":{"base_uri":"https://localhost:8080/","height":296},"id":"T4YUmu2CPYNu","executionInfo":{"status":"ok","timestamp":1678553552817,"user_tz":-180,"elapsed":3016,"user":{"displayName":"Наташа Тишина","userId":"14702279015739032258"}},"outputId":"c514b710-8d4c-4a1c-e3fd-4f4b4aaf9b7b"},"execution_count":null,"outputs":[{"output_type":"execute_result","data":{"text/plain":["<AxesSubplot:xlabel='Total eve minutes', ylabel='Count'>"]},"metadata":{},"execution_count":63},{"output_type":"display_data","data":{"text/plain":["<Figure size 432x288 with 1 Axes>"],"image/png":"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\n"},"metadata":{"needs_background":"light"}}]},{"cell_type":"code","source":["sns.histplot(data = df, x = \"Total night minutes\", binwidth=10, hue = \"Churn\")"],"metadata":{"colab":{"base_uri":"https://localhost:8080/","height":296},"id":"TuZ3jjQdPbjH","executionInfo":{"status":"ok","timestamp":1678553560169,"user_tz":-180,"elapsed":679,"user":{"displayName":"Наташа Тишина","userId":"14702279015739032258"}},"outputId":"7b1aa9d3-c5d1-46d1-e925-913989f97818"},"execution_count":null,"outputs":[{"output_type":"execute_result","data":{"text/plain":["<AxesSubplot:xlabel='Total night minutes', ylabel='Count'>"]},"metadata":{},"execution_count":64},{"output_type":"display_data","data":{"text/plain":["<Figure size 432x288 with 1 Axes>"],"image/png":"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\n"},"metadata":{"needs_background":"light"}}]},{"cell_type":"markdown","source":["**ВЫВОД:** Наблюдается максимальный отток пользователей, которым нужно много разговаривать в дневное время (по работе, например). Т.е. чем больше минут тратит клиент, и, следовательно, чем дороже выходит для него услуга (если тариф небезлимитный), тем больше клиентов отказывается от разговоров по телефону. \n","\n"],"metadata":{"id":"J8dI56C4Pmxt"}},{"cell_type":"markdown","source":["**РЕКОМЕНДАЦИЯ:**  ввести тариф с фиксированной платой 40 и безлимитов звонков, начиная с 220 минут. "],"metadata":{"id":"6cnK1VWXaV7Q"}}]}