{"cells":[{"cell_type":"code","execution_count":null,"metadata":{"_cell_guid":"4cea92a1-4803-cb2c-3d76-11ffa6ec3a2b"},"outputs":[],"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."},{"cell_type":"code","execution_count":null,"metadata":{"_cell_guid":"faf8c294-3d62-d560-a872-b2893b73ce17"},"outputs":[],"source":"df_test = pd.read_csv('../input/clicks_test.csv', nrows=100)\nprint(df_test.head())\ndf_doc_cats = pd.read_csv('../input/documents_categories.csv', nrows=100)\nprint(df_doc_cats.head())\ndf_doc_entities = pd.read_csv('../input/documents_entities.csv', nrows=100)\nprint(df_doc_entities.head())\ndf_doc_meta = pd.read_csv('../input/documents_meta.csv', nrows=100)\nprint(df_doc_meta.head())\ndf_doc_topics = pd.read_csv('../input/documents_topics.csv', nrows=100)\nprint(df_doc_topics.head())\ndf_events = pd.read_csv('../input/events.csv', nrows=100)\nprint(df_events.head())\ndf_page_views = pd.read_csv('../input/page_views_sample.csv', nrows=100)\nprint(df_page_views.head())"},{"cell_type":"code","execution_count":null,"metadata":{"_cell_guid":"b2c790d7-165f-f6fe-6024-4e906444c73b"},"outputs":[],"source":""}],"metadata":{"_change_revision":0,"_is_fork":false,"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}