{"metadata":{"kernelspec":{"display_name":"Python 3","language":"python","name":"python3"},"language_info":{"codemirror_mode":{"name":"ipython","version":3},"file_extension":".py","mimetype":"text/x-python","name":"python","nbconvert_exporter":"python","pygments_lexer":"ipython3","version":"3.5.2"}},"nbformat":4,"nbformat_minor":0,"cells":[{"metadata":{"_cell_guid":"e071be0d-2c0d-5479-da26-bc57235d36cc","_active":false,"collapsed":false},"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 in \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 \"../input/\" directory.\n# For example, running this (by clicking run or pressing Shift+Enter) will list the files in the input directory\n\nfrom subprocess import check_output\nprint(check_output([\"ls\", \"../input\"]).decode(\"utf8\"))\n\n# Any results you write to the current directory are saved as output.","execution_count":null,"cell_type":"code","outputs":[],"execution_state":"idle"},{"metadata":{"_cell_guid":"b045f500-b44c-b973-239b-435ab5e53087","_active":true,"collapsed":false},"source":"doc_top = pd.read_csv('../input/documents_topics.csv')\nevents = pd.read_csv('../input/events.csv')\npag_view = pd.read_csv('../input/page_views_sample.csv')\nprom_cont = pd.read_csv('../input/promoted_content.csv')","execution_count":null,"cell_type":"code","outputs":[],"execution_state":"idle"},{"metadata":{"_cell_guid":"7879a4eb-f22a-ea53-5de4-0f93e29c7763","_active":false,"collapsed":false},"source":"doc_top.head()","execution_count":null,"cell_type":"code","outputs":[],"execution_state":"idle"},{"metadata":{"_cell_guid":"19e252fc-9ce5-f946-5c5e-a78276354fc9","_active":false,"collapsed":false},"source":"doc_cat.category_id.value_counts()","execution_count":null,"cell_type":"code","outputs":[],"execution_state":"idle"}]}