via GIPHY

  • The essential exploratory techniques for summarizing data with R
  • Help inform the development of more complex statistical models
  • Eliminating or sharpening potential hypotheses about the data

Using EDA to discover patterns, to spot anomalies, to test hypothesis and to check assumptions with the help of summary statistics and graphical representations


Click here: EDA with R

This Notebook using iterative development. It means the process starts with a simple implementation of a small set of idea requirements and iteratively enhances the evolving versions until the complete version is implemented and perfect. Find the file and others stuff in my github account.