{"cells":[{"cell_type":"code","execution_count":null,"metadata":{"_cell_guid":"d2e68fa3-2d60-c55a-424a-2f3755ceedbe"},"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":"273e343a-a286-2f12-27c8-f72ac73ec35f"},"outputs":[],"source":"train = pd.read_csv(\"../input/clicks_train.csv\")\n"},{"cell_type":"code","execution_count":null,"metadata":{"_cell_guid":"56c975f6-3d79-444f-fc37-0167b805bfdb"},"outputs":[],"source":"train.head(5)"},{"cell_type":"code","execution_count":null,"metadata":{"_cell_guid":"2c46f828-43b5-ae02-2a01-ba34ed8d5e5a"},"outputs":[],"source":"train[\"ad_id\"].describe()"},{"cell_type":"code","execution_count":null,"metadata":{"_cell_guid":"7c3a34b5-b9ff-6672-8c10-7143b80f7584"},"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":"3.6.0"}},"nbformat":4,"nbformat_minor":0}