{"metadata": {"language_info": {"name": "python", "mimetype": "text/x-python", "nbconvert_exporter": "python", "pygments_lexer": "ipython3", "codemirror_mode": {"name": "ipython", "version": 3}, "file_extension": ".py", "version": "3.6.3"}, "kernelspec": {"name": "python3", "language": "python", "display_name": "Python 3"}}, "nbformat_minor": 1, "nbformat": 4, "cells": [{"metadata": {"_uuid": "cff7b4404f12a11dfa448f72cdc00a114302984b", "_cell_guid": "6784825a-1b31-4f34-b179-2617e0ea1682"}, "cell_type": "markdown", "source": ["# All dataframes @ a glance\n", "\n", "FIND ALL THE DATAFRAMES AND THEIR LINKAGES  \n", "\n", "The arrows connecting the variable names show which of them can be used to merge dataframes.\n", "\n", "## UPDATE:\n", "Based on the comments, the `date` variable in train.csv has been linked to that of transactions.csv\n", "\n", "\n"]}, {"metadata": {"_uuid": "200bc5fd007e498fd8ae8402cd5bf3ca08e3b778", "_cell_guid": "cf412e3b-c54b-4d74-94ce-7ee877d170bf"}, "cell_type": "markdown", "source": ["![](https://image.ibb.co/jtcek6/Capture1.jpg)"]}, {"metadata": {"_uuid": "141744f879f3bce557b13c949f1f2142c80dd3a0", "_cell_guid": "56956df8-a58b-4737-ab32-aa4055618178"}, "cell_type": "markdown", "source": ["# What else?\n", "\n", "You can also check out my other kernel on [THIS LINK](https://www.kaggle.com/jeru666/simple-exploration-visualization-notebook/editnb)"]}]}