EDA_SnehaR.ipynb

{"cells":[{"metadata":{"_uuid":"8f2839f25d086af736a60e9eeb907d3b93b6e0e5","_cell_guid":"b1076dfc-b9ad-4769-8c92-a6c4dae69d19","trusted":true},"cell_type":"code","source":"# This Python 3 environment comes with many helpful analytics libraries installed\n# It is defined by the kaggle/python Docker image: https://github.com/kaggle/docker-python\n# For example, here's several helpful packages to load\n\nimport numpy as np # linear algebra\nimport pandas as pd # data processing, CSV file I/O (e.g. pd.read_csv)\n\n# Input data files are available in the read-only \"../input/\" directory\n# For example, running this (by clicking run or pressing Shift+Enter) will list all files under the input directory\n\nimport os\nfor dirname, _, filenames in os.walk('/kaggle/input'):\n    for filename in filenames:\n        print(os.path.join(dirname, filename))\n\n# You can write up to 5GB to the current directory (/kaggle/working/) that gets preserved as output when you create a version using \"Save & Run All\" \n# You can also write temporary files to /kaggle/temp/, but they won't be saved outside of the current session","execution_count":1,"outputs":[{"output_type":"stream","text":"/kaggle/input/enron-email-dataset/emails.csv\n","name":"stdout"}]},{"metadata":{"trusted":true},"cell_type":"code","source":"emails = pd.read_csv(\"https://query.data.world/s/o3a54tz46d55ywn32d6wcgtgomlfnx\")\nemails.head()\n","execution_count":2,"outputs":[{"output_type":"stream","text":"/opt/conda/lib/python3.7/site-packages/IPython/core/interactiveshell.py:3063: DtypeWarning: Columns (9) have mixed types.Specify dtype option on import or set low_memory=False.\n  interactivity=interactivity, compiler=compiler, result=result)\n","name":"stderr"},{"output_type":"execute_result","execution_count":2,"data":{"text/plain":"   Unnamed: 0                                     Message-ID  \\\n0      100000   <3013862.1075854174317.JavaMail.evans@thyme>   \n1      100001  <20344708.1075854174339.JavaMail.evans@thyme>   \n2      100002  <13857515.1075854174362.JavaMail.evans@thyme>   \n3      100003   <1946403.1075854174384.JavaMail.evans@thyme>   \n4      100004  <31181882.1075854174405.JavaMail.evans@thyme>   \n\n                  Date                                   From  \\\n0  1999-12-20 13:43:00  frozenset({'daren.farmer@enron.com'})   \n1  1999-12-20 12:10:00  frozenset({'daren.farmer@enron.com'})   \n2  1999-12-20 11:37:00  frozenset({'daren.farmer@enron.com'})   \n3  1999-12-10 16:36:00  frozenset({'daren.farmer@enron.com'})   \n4  1999-12-10 16:33:00  frozenset({'daren.farmer@enron.com'})   \n\n                                         To  \\\n0     frozenset({'julie.meyers@enron.com'})   \n1     frozenset({'brenda.herod@enron.com'})   \n2   frozenset({'kenneth.seaman@enron.com'})   \n3  frozenset({'kimberly.vaughn@enron.com'})   \n4    frozenset({'susan.trevino@enron.com'})   \n\n                                             Subject          X-From  \\\n0                                    Evergreen deals  Daren J Farmer   \n1             Re: purge of old Contract_Event_Status  Daren J Farmer   \n2                        January Production Estimate  Daren J Farmer   \n3                                     HL&P for 11/99  Daren J Farmer   \n4  Re: Meter 5892 - UA4 1996 and 1997 Logistics I...  Daren J Farmer   \n\n              X-To                      X-cc X-bcc  ... Cat_10_level_1  \\\n0     Julie Meyers                       NaN   NaN  ...            NaN   \n1   Brenda F Herod  Mary M Smith, Pat Clynes   NaN  ...            NaN   \n2   Kenneth Seaman                       NaN   NaN  ...            NaN   \n3  Kimberly Vaughn               Anita Luong   NaN  ...            NaN   \n4  Susan D Trevino                       NaN   NaN  ...            NaN   \n\n  Cat_10_level_2 Cat_10_weight Cat_11_level_1 Cat_11_level_2  Cat_11_weight  \\\n0            NaN           NaN            NaN            NaN            NaN   \n1            NaN           NaN            NaN            NaN            NaN   \n2            NaN           NaN            NaN            NaN            NaN   \n3            NaN           NaN            NaN            NaN            NaN   \n4            NaN           NaN            NaN            NaN            NaN   \n\n   Cat_12_level_1  Cat_12_level_2  Cat_12_weight  labeled  \n0             NaN             NaN            NaN    False  \n1             NaN             NaN            NaN    False  \n2             NaN             NaN            NaN    False  \n3             NaN             NaN            NaN    False  \n4             NaN             NaN            NaN    False  \n\n[5 rows x 52 columns]","text/html":"<div>\n<style scoped>\n    .dataframe tbody tr th:only-of-type {\n        vertical-align: middle;\n    }\n\n    .dataframe tbody tr th {\n        vertical-align: top;\n    }\n\n    .dataframe thead th {\n        text-align: right;\n    }\n</style>\n<table border=\"1\" class=\"dataframe\">\n  <thead>\n    <tr style=\"text-align: right;\">\n      <th></th>\n      <th>Unnamed: 0</th>\n      <th>Message-ID</th>\n      <th>Date</th>\n      <th>From</th>\n      <th>To</th>\n      <th>Subject</th>\n      <th>X-From</th>\n      <th>X-To</th>\n      <th>X-cc</th>\n      <th>X-bcc</th>\n      <th>...</th>\n      <th>Cat_10_level_1</th>\n      <th>Cat_10_level_2</th>\n      <th>Cat_10_weight</th>\n      <th>Cat_11_level_1</th>\n      <th>Cat_11_level_2</th>\n      <th>Cat_11_weight</th>\n      <th>Cat_12_level_1</th>\n      <th>Cat_12_level_2</th>\n      <th>Cat_12_weight</th>\n      <th>labeled</th>\n    </tr>\n  </thead>\n  <tbody>\n    <tr>\n      <th>0</th>\n      <td>100000</td>\n      <td>&lt;3013862.1075854174317.JavaMail.evans@thyme&gt;</td>\n      <td>1999-12-20 13:43:00</td>\n      <td>frozenset({'daren.farmer@enron.com'})</td>\n      <td>frozenset({'julie.meyers@enron.com'})</td>\n      <td>Evergreen deals</td>\n      <td>Daren J Farmer</td>\n      <td>Julie Meyers</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>...</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>False</td>\n    </tr>\n    <tr>\n      <th>1</th>\n      <td>100001</td>\n      <td>&lt;20344708.1075854174339.JavaMail.evans@thyme&gt;</td>\n      <td>1999-12-20 12:10:00</td>\n      <td>frozenset({'daren.farmer@enron.com'})</td>\n      <td>frozenset({'brenda.herod@enron.com'})</td>\n      <td>Re: purge of old Contract_Event_Status</td>\n      <td>Daren J Farmer</td>\n      <td>Brenda F Herod</td>\n      <td>Mary M Smith, Pat Clynes</td>\n      <td>NaN</td>\n      <td>...</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>False</td>\n    </tr>\n    <tr>\n      <th>2</th>\n      <td>100002</td>\n      <td>&lt;13857515.1075854174362.JavaMail.evans@thyme&gt;</td>\n      <td>1999-12-20 11:37:00</td>\n      <td>frozenset({'daren.farmer@enron.com'})</td>\n      <td>frozenset({'kenneth.seaman@enron.com'})</td>\n      <td>January Production Estimate</td>\n      <td>Daren J Farmer</td>\n      <td>Kenneth Seaman</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>...</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>False</td>\n    </tr>\n    <tr>\n      <th>3</th>\n      <td>100003</td>\n      <td>&lt;1946403.1075854174384.JavaMail.evans@thyme&gt;</td>\n      <td>1999-12-10 16:36:00</td>\n      <td>frozenset({'daren.farmer@enron.com'})</td>\n      <td>frozenset({'kimberly.vaughn@enron.com'})</td>\n      <td>HL&amp;P for 11/99</td>\n      <td>Daren J Farmer</td>\n      <td>Kimberly Vaughn</td>\n      <td>Anita Luong</td>\n      <td>NaN</td>\n      <td>...</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>False</td>\n    </tr>\n    <tr>\n      <th>4</th>\n      <td>100004</td>\n      <td>&lt;31181882.1075854174405.JavaMail.evans@thyme&gt;</td>\n      <td>1999-12-10 16:33:00</td>\n      <td>frozenset({'daren.farmer@enron.com'})</td>\n      <td>frozenset({'susan.trevino@enron.com'})</td>\n      <td>Re: Meter 5892 - UA4 1996 and 1997 Logistics I...</td>\n      <td>Daren J Farmer</td>\n      <td>Susan D Trevino</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>...</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>False</td>\n    </tr>\n  </tbody>\n</table>\n<p>5 rows × 52 columns</p>\n</div>"},"metadata":{}}]},{"metadata":{},"cell_type":"markdown","source":"Details of the first email"},{"metadata":{"trusted":true},"cell_type":"code","source":"emails.loc[0]","execution_count":3,"outputs":[{"output_type":"execute_result","execution_count":3,"data":{"text/plain":"Unnamed: 0                                                   100000\nMessage-ID             <3013862.1075854174317.JavaMail.evans@thyme>\nDate                                            1999-12-20 13:43:00\nFrom                          frozenset({'daren.farmer@enron.com'})\nTo                            frozenset({'julie.meyers@enron.com'})\nSubject                                             Evergreen deals\nX-From                                               Daren J Farmer\nX-To                                                   Julie Meyers\nX-cc                                                            NaN\nX-bcc                                                           NaN\nX-Folder            \\Darren_Farmer_Dec2000\\Notes Folders\\'sent mail\nX-Origin                                                   Farmer-D\nX-FileName                                              dfarmer.nsf\ncontent           Julie, I need to know if the following deals h...\nuser                                                       farmer-d\nCat_1_level_1                                                   NaN\nCat_1_level_2                                                   NaN\nCat_1_weight                                                    NaN\nCat_2_level_1                                                   NaN\nCat_2_level_2                                                   NaN\nCat_2_weight                                                    NaN\nCat_3_level_1                                                   NaN\nCat_3_level_2                                                   NaN\nCat_3_weight                                                    NaN\nCat_4_level_1                                                   NaN\nCat_4_level_2                                                   NaN\nCat_4_weight                                                    NaN\nCat_5_level_1                                                   NaN\nCat_5_level_2                                                   NaN\nCat_5_weight                                                    NaN\nCat_6_level_1                                                   NaN\nCat_6_level_2                                                   NaN\nCat_6_weight                                                    NaN\nCat_7_level_1                                                   NaN\nCat_7_level_2                                                   NaN\nCat_7_weight                                                    NaN\nCat_8_level_1                                                   NaN\nCat_8_level_2                                                   NaN\nCat_8_weight                                                    NaN\nCat_9_level_1                                                   NaN\nCat_9_level_2                                                   NaN\nCat_9_weight                                                    NaN\nCat_10_level_1                                                  NaN\nCat_10_level_2                                                  NaN\nCat_10_weight                                                   NaN\nCat_11_level_1                                                  NaN\nCat_11_level_2                                                  NaN\nCat_11_weight                                                   NaN\nCat_12_level_1                                                  NaN\nCat_12_level_2                                                  NaN\nCat_12_weight                                                   NaN\nlabeled                                                       False\nName: 0, dtype: object"},"metadata":{}}]},{"metadata":{},"cell_type":"markdown","source":"Extract few important columns/features"},{"metadata":{"trusted":true},"cell_type":"code","source":"df = emails[['Message-ID','Date','From','To','Subject','X-From','X-To','user']]\ndf.head()","execution_count":4,"outputs":[{"output_type":"execute_result","execution_count":4,"data":{"text/plain":"                                      Message-ID                 Date  \\\n0   <3013862.1075854174317.JavaMail.evans@thyme>  1999-12-20 13:43:00   \n1  <20344708.1075854174339.JavaMail.evans@thyme>  1999-12-20 12:10:00   \n2  <13857515.1075854174362.JavaMail.evans@thyme>  1999-12-20 11:37:00   \n3   <1946403.1075854174384.JavaMail.evans@thyme>  1999-12-10 16:36:00   \n4  <31181882.1075854174405.JavaMail.evans@thyme>  1999-12-10 16:33:00   \n\n                                    From  \\\n0  frozenset({'daren.farmer@enron.com'})   \n1  frozenset({'daren.farmer@enron.com'})   \n2  frozenset({'daren.farmer@enron.com'})   \n3  frozenset({'daren.farmer@enron.com'})   \n4  frozenset({'daren.farmer@enron.com'})   \n\n                                         To  \\\n0     frozenset({'julie.meyers@enron.com'})   \n1     frozenset({'brenda.herod@enron.com'})   \n2   frozenset({'kenneth.seaman@enron.com'})   \n3  frozenset({'kimberly.vaughn@enron.com'})   \n4    frozenset({'susan.trevino@enron.com'})   \n\n                                             Subject          X-From  \\\n0                                    Evergreen deals  Daren J Farmer   \n1             Re: purge of old Contract_Event_Status  Daren J Farmer   \n2                        January Production Estimate  Daren J Farmer   \n3                                     HL&P for 11/99  Daren J Farmer   \n4  Re: Meter 5892 - UA4 1996 and 1997 Logistics I...  Daren J Farmer   \n\n              X-To      user  \n0     Julie Meyers  farmer-d  \n1   Brenda F Herod  farmer-d  \n2   Kenneth Seaman  farmer-d  \n3  Kimberly Vaughn  farmer-d  \n4  Susan D Trevino  farmer-d  ","text/html":"<div>\n<style scoped>\n    .dataframe tbody tr th:only-of-type {\n        vertical-align: middle;\n    }\n\n    .dataframe tbody tr th {\n        vertical-align: top;\n    }\n\n    .dataframe thead th {\n        text-align: right;\n    }\n</style>\n<table border=\"1\" class=\"dataframe\">\n  <thead>\n    <tr style=\"text-align: right;\">\n      <th></th>\n      <th>Message-ID</th>\n      <th>Date</th>\n      <th>From</th>\n      <th>To</th>\n      <th>Subject</th>\n      <th>X-From</th>\n      <th>X-To</th>\n      <th>user</th>\n    </tr>\n  </thead>\n  <tbody>\n    <tr>\n      <th>0</th>\n      <td>&lt;3013862.1075854174317.JavaMail.evans@thyme&gt;</td>\n      <td>1999-12-20 13:43:00</td>\n      <td>frozenset({'daren.farmer@enron.com'})</td>\n      <td>frozenset({'julie.meyers@enron.com'})</td>\n      <td>Evergreen deals</td>\n      <td>Daren J Farmer</td>\n      <td>Julie Meyers</td>\n      <td>farmer-d</td>\n    </tr>\n    <tr>\n      <th>1</th>\n      <td>&lt;20344708.1075854174339.JavaMail.evans@thyme&gt;</td>\n      <td>1999-12-20 12:10:00</td>\n      <td>frozenset({'daren.farmer@enron.com'})</td>\n      <td>frozenset({'brenda.herod@enron.com'})</td>\n      <td>Re: purge of old Contract_Event_Status</td>\n      <td>Daren J Farmer</td>\n      <td>Brenda F Herod</td>\n      <td>farmer-d</td>\n    </tr>\n    <tr>\n      <th>2</th>\n      <td>&lt;13857515.1075854174362.JavaMail.evans@thyme&gt;</td>\n      <td>1999-12-20 11:37:00</td>\n      <td>frozenset({'daren.farmer@enron.com'})</td>\n      <td>frozenset({'kenneth.seaman@enron.com'})</td>\n      <td>January Production Estimate</td>\n      <td>Daren J Farmer</td>\n      <td>Kenneth Seaman</td>\n      <td>farmer-d</td>\n    </tr>\n    <tr>\n      <th>3</th>\n      <td>&lt;1946403.1075854174384.JavaMail.evans@thyme&gt;</td>\n      <td>1999-12-10 16:36:00</td>\n      <td>frozenset({'daren.farmer@enron.com'})</td>\n      <td>frozenset({'kimberly.vaughn@enron.com'})</td>\n      <td>HL&amp;P for 11/99</td>\n      <td>Daren J Farmer</td>\n      <td>Kimberly Vaughn</td>\n      <td>farmer-d</td>\n    </tr>\n    <tr>\n      <th>4</th>\n      <td>&lt;31181882.1075854174405.JavaMail.evans@thyme&gt;</td>\n      <td>1999-12-10 16:33:00</td>\n      <td>frozenset({'daren.farmer@enron.com'})</td>\n      <td>frozenset({'susan.trevino@enron.com'})</td>\n      <td>Re: Meter 5892 - UA4 1996 and 1997 Logistics I...</td>\n      <td>Daren J Farmer</td>\n      <td>Susan D Trevino</td>\n      <td>farmer-d</td>\n    </tr>\n  </tbody>\n</table>\n</div>"},"metadata":{}}]},{"metadata":{},"cell_type":"markdown","source":"Check for null values"},{"metadata":{"trusted":true},"cell_type":"code","source":"df.isnull().sum()","execution_count":5,"outputs":[{"output_type":"execute_result","execution_count":5,"data":{"text/plain":"Message-ID       0\nDate             0\nFrom             0\nTo            3039\nSubject       1924\nX-From           3\nX-To          1113\nuser             0\ndtype: int64"},"metadata":{}}]},{"metadata":{"trusted":true},"cell_type":"code","source":"df['To'].unique() ","execution_count":6,"outputs":[{"output_type":"execute_result","execution_count":6,"data":{"text/plain":"array([\"frozenset({'julie.meyers@enron.com'})\",\n       \"frozenset({'brenda.herod@enron.com'})\",\n       \"frozenset({'kenneth.seaman@enron.com'})\", ...,\n       \"frozenset({'ludkam@aol.com', 'vincek@palm.net'})\",\n       \"frozenset({'vincek@palm.net'})\",\n       \"frozenset({'giuseppe.paleologo@enron.com'})\"], dtype=object)"},"metadata":{}}]},{"metadata":{"trusted":true},"cell_type":"code","source":"df['Date'].unique","execution_count":7,"outputs":[{"output_type":"execute_result","execution_count":7,"data":{"text/plain":"<bound method Series.unique of 0        1999-12-20 13:43:00\n1        1999-12-20 12:10:00\n2        1999-12-20 11:37:00\n3        1999-12-10 16:36:00\n4        1999-12-10 16:33:00\n                ...         \n99995    2000-09-15 16:07:00\n99996    2000-09-15 16:01:00\n99997    2000-09-15 14:18:00\n99998    2000-09-15 14:13:00\n99999    2000-09-15 11:16:00\nName: Date, Length: 100000, dtype: object>"},"metadata":{}}]},{"metadata":{"trusted":true},"cell_type":"code","source":"df['From'].unique()","execution_count":8,"outputs":[{"output_type":"execute_result","execution_count":8,"data":{"text/plain":"array([\"frozenset({'daren.farmer@enron.com'})\",\n       \"frozenset({'arsystem@mailman.enron.com'})\",\n       \"frozenset({'megan.parker@enron.com'})\", ...,\n       \"frozenset({'amy.heffernan@enron.com'})\",\n       \"frozenset({'ecthou_gt2@enron.com'})\",\n       \"frozenset({'vince.kaminski@enron.com'})\"], dtype=object)"},"metadata":{}}]},{"metadata":{"trusted":true},"cell_type":"code","source":"df['user'].unique()","execution_count":9,"outputs":[{"output_type":"execute_result","execution_count":9,"data":{"text/plain":"array(['farmer-d', 'fischer-m', 'forney-j', 'fossum-d', 'gang-l', 'gay-r',\n       'geaccone-t', 'germany-c', 'gilbertsmith-d', 'giron-d',\n       'griffith-j', 'grigsby-m', 'guzman-m', 'haedicke-m', 'hain-m',\n       'harris-s', 'hayslett-r', 'heard-m', 'hendrickson-s',\n       'hernandez-j', 'hodge-j', 'holst-k', 'horton-s', 'hyatt-k',\n       'hyvl-d', 'jones-t', 'kaminski-v'], dtype=object)"},"metadata":{}}]},{"metadata":{"trusted":true},"cell_type":"code","source":"df['user'].describe() #Description of users","execution_count":10,"outputs":[{"output_type":"execute_result","execution_count":10,"data":{"text/plain":"count      100000\nunique         27\ntop       jones-t\nfreq        19950\nName: user, dtype: object"},"metadata":{}}]},{"metadata":{"trusted":true},"cell_type":"code","source":"df['Subject'].value_counts() #Number of emails/rows per value of the subject","execution_count":16,"outputs":[{"output_type":"execute_result","execution_count":16,"data":{"text/plain":"RE:                                               686\nRe:                                               665\nSchedule Crawler: HourAhead Failure <CODESITE>    234\nFW:                                               162\nHey                                               162\n                                                 ... \nFW: another one - sale of Energoville               1\nKathleen Ann Storage Field                          1\nRe: Flight                                          1\nKeyEx stuff w/ Team                                 1\nRE: Astros game                                     1\nName: Subject, Length: 35707, dtype: int64"},"metadata":{}}]},{"metadata":{"trusted":true},"cell_type":"code","source":"df['user'].value_counts() #Number of eamils/rows per different users","execution_count":23,"outputs":[{"output_type":"execute_result","execution_count":23,"data":{"text/plain":"jones-t           19950\nfarmer-d          12454\ngermany-c         12436\nguzman-m           6054\nhaedicke-m         5246\nfossum-d           4796\ngiron-d            4220\nhain-m             3820\nhernandez-j        3265\nhyvl-d             3210\ngriffith-j         2973\nhayslett-r         2554\nhorton-s           2470\ngrigsby-m          2237\nhyatt-k            1794\nhodge-j            1661\nheard-m            1623\ngeaccone-t         1592\nfischer-m          1498\ngay-r              1415\nkaminski-v         1105\nforney-j            729\nhendrickson-s       719\ngang-l              590\ngilbertsmith-d      578\nharris-s            548\nholst-k             463\nName: user, dtype: int64"},"metadata":{}}]},{"metadata":{},"cell_type":"markdown","source":"Count Plot graph for users"},{"metadata":{"trusted":true},"cell_type":"code","source":"import matplotlib.pyplot as plt\nimport seaborn as sns\nplt.figure(figsize=(32,12))\nsns.countplot(df.user)\nplt.xlabel('Label')\nplt.title('users_count')","execution_count":36,"outputs":[{"output_type":"execute_result","execution_count":36,"data":{"text/plain":"Text(0.5, 1.0, 'users_count')"},"metadata":{}},{"output_type":"display_data","data":{"text/plain":"<Figure size 2304x864 with 1 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H5zkg/Nm3qE67I9F67+IDW3PrbVHDPG523rzbpGF6txa+3r6Gaa3GSZdeCV8Vf14ks+11p6TfmXapK//0ar66eH1g4fvzDB+Pj/9gO2eYdrq8fVOmBeDc9N3jpOVdiNV9ej0q1z3ev7kBs3rc2ZaUjwm5o0DVvePk3HvRvaFTkjyK7XyXMfptv3v0h8X8Pphn+XdSR5VK89AvEFV/cguG2+vtuh48kJL2Pa3y6ZjMDGrb52Oz7Bvcp3W2gfSr2aYXFm5LBseM2+w7PO2sdX9yIV/zxhHLdNa46qNtoEz25MltYmLjBMnPpTkQcPBwoOzsbtd/WOSa9XwjMHqz4GdHMz8QvpVGi+vqpsM788ag07H7Qbpd+n67LwvXL3vsUY/vpbNxGe1K6Ufj/jv6s8d/bG1Zm6tfSN93+N2w6Tp7W5m31FV90i/28hjp5azrD72m0m+XivPV3xokg+uU68Ppyc2UlU3Tr91e5J8PMltq+r/Hd67XFXdYJftn69nZjymZxjGZ1dqrb0jyePTbwOZrN8O/ld6gvRhVfU/t7kei1q33lOm67nI5zJ8Zjf3oXsZkirvTr9F6+ROUJME0NeGdeH+Ux9Zq29cfXwlmdGe7nZzYpL05NP/SL+DxD5XBO/WvMUGfCjJA4c+9KD0C3Q+ucb8n01y0GR/s/rz0m8yb11vrd1liMmvDZ/f3+Nui1rdLm1ZTmuempELGN76Rvq+758MxzIvNOPYTdKTnI9I8rOZfyebNUl4LuaZSf60qj6Sfuny/npIkl+tqtPSL5O/9wY+89Qkt6/+MOE7p99jehn+vPqDac9MbyROSz+w/K9JTh/qtF5H/7T0S6hPH5bztO0s8DY6Jsnh1W/38WfZwIGlaa21s9MPwp0wLOM96bdrnHhdko8MB//mLmahEm+dYzK77o+v/uDn09LP3HxnerLu1Kr6dPptOf96mPf30m8V8v6s3A5gs56f5PJDeZ6UtTurbdP6LYKOT98u3pTe0H8zyR+kH3h/T/rO5nremH6buTPTb8H2iWE5o7PJmLwyfXD06p0r6casUZ957fox6QdX/yH9YMHEHye5ytT2csfWb7t5dPptUE/LyqDymCzQ1mygbZn4QPotzU6t4UHti9hELBbWWjst/dkDZ6XfqvYja3/iQsen71jNup1tWr/l0NOTfHAo57PmzDevjvN8J8lNquqU9DMhJ1cZbjQmb00yOVP0ZzO7z92MY9OvdN3w7bFbv7XhMemJ+Pcm+dQmv3t6mQvFcyjDk9PX1dOSfKq19pYFvm/L67A/NrE+LeI1Sf5XVX26qq6/aNG2qAz7Lnhzdf7VJMdW1cfSz6idzP/AJGdWv/LuRukH+pPkM0kePrR3V00fE0y8Mv2Wt2dvQXU2ZY0Y/EX6QdOPpj8ja+KJSW5W+15FsBHHZHafsxvNGwc8NkOfV/22iJP6r7sv1Fp7V3qsTx7Wkyeuev9Z6e3AK9L3X85O8qmhjX1hdsdVjWtZdDx5UbQVMVivbz0gyd9Xv4Xpp9NvT/mNzRZ4CywyZt5I2edtY6vHIPvTr2y3Rcfdq+2WYysTi46dj0t/HvQZ6X3emsmIJGmt/Vd6P/o3w/e8J1NXebTWPjuU4/XD7z1rO3lekgOG9eu1SY5q/VbpGzWvH1/P/u5bvDJ9nT95WNZG2o5HJPnbYSwyfUu9eX3H76Q/T/WTtfedRlbbqeM3D0//DU9PT95NyjOvXs9LP6B/evpzOk9P8s1h//SoJK8e3vt4Vg5kr7abr+yaF4+JKyR52/D+B5M8YZi+bjvYWvtO+pVxT6iqTe/3bpP16j2xup4b/dwsu60PneWV6evrCcmFJzm8KL1NfXOSk6bm3ZPkBcN2fdlsYL96Rns6BnvFJOkJqfRjtkdmY7d53m196ywtvQ89Pb1fe3/6c6//z9wP9P7z/kmeMfRDp6bfan2j6/rCx2L213S7NJR3K3Nas8zKBUzKckH6laV/W1W3Xmc5J6QnoN87xH1hkwcxA7tUVb0tvcF835z3/yb94O/MA/osR1VdvrX27epXF3woydGttYUPsk8t52rpCdzbrtUJ72aLxqT6M1Hu3Vp76I4VcgFb9RtfFOzWWFS/pcyzW2s/u+7M6y9rV9ZxrC7u8dxt9a/+PMlnDWembtd3LNoHXL619u3h9e8lObi19rhNfvdzk3y6tfZ3m/n8Vtltvztw0bDbx8zAiqr6nSRXbK394bLLslr1O6lcsrX2n0OC5n1JbrDRA85VdYv08eQdtrOcsBWq6onpV/T+wbLLsltcHGIyHFv9VGttzav8GbfdfvYqXGxV1ZXTE1ynrZHsfFr6s+mO2cGisTHHVr8NzGXSn6O42QOabxvWhUsledpYk52DDcdkSOQfmWQ333Jtq37ji4JdF4shQfKobPJWdzPsujqO3MU9nrum/lX1kiSXy3AL2G20aJ3vXlVPTt9f+UI2eeud4Urr76RfdbFsu+Z3By4aRjJmBpIMd2s4Kv1Wl7vR5ZJ8oPqteivJoxZIdh6e5FXpd/CCXa2qjkty/fS7MZGLR0yqP2P0xPQ77HAR5gpPAAAAAAAAYLQ8wxMAAAAAAAAYLQlPAAAAAAAAYLQkPAEAAAAAAIDRkvAEAABgV6qqby8w7zFV9cTtWj4AAAC7l4QnAAAAAAAAMFoSngAAAIxGVd2zqj5RVZ+uqvdW1TWn3v7Jqnp/Vf1zVf361Gf+V1WdVFWnV9VTl1BsAAAAtpGEJwAAAGPy4SS3aa39VJLXJHnS1Hs3T3L3JD+d5ClVda2qunOSQ5PcKslhSW5RVbff4TIDAACwjQ5cdgEAAABgAYckeW1VHZzkUkk+P/XeW1pr303y3ar6QHqS83ZJ7pzk08M8l09PgH5o54oMAADAdpLwBAAAYEz+JsmzWmvHV9URSY6Zeq+tmrclqSR/2lp74c4UDwAAgJ3mlrYAAACMyZWSfGl4/fBV7927qi5TVVdLckSSk5K8O8mvVNXlk6Sqrl1V19ipwgIAALD9XOEJAADAbnW5qjpv6u9npV/R+fqq+lKSjye53tT7n0zy9iQ/muRprbXzk5xfVT+R5GNVlSTfTvLLSb6y/cUHAABgJ1Rrq+/4AwAAAAAAADAObmkLAAAAAAAAjJaEJwAAAAAAADBaEp4AAAAAAADAaEl4AgAAAAAAAKMl4QkAAAAAAACMloQnAAAAAAAAMFoSngAAAAAAAMBo/V8fRPvZ9WFKigAAAABJRU5ErkJggg==\n"},"metadata":{"needs_background":"light"}}]}],"metadata":{"kernelspec":{"name":"python3","display_name":"Python 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