Showing posts from August, 2017

Getting started with graphs in R

My next publicly available R notebook created in IBM's Data Science Experience is here!  This notebook helps users get started with basic graphs in R and contains general techniques that apply to all graphs in R except those created using the "ggplot2" library.

While only a few lines of code are needed to create graphs in R, I have provided extensive comments for each line of code so first-time R-users can also follow along.  I hope you enjoy this notebook.  Please feel free to share and let me know your thoughts.

My latest #R#notebook: Basics of #graphs in #rstats h/t — Venky Rao (@VRaoRao) August 21, 2017

Data Structures in R

In order to help users to get started with IBM's Data Science Experience, I have started developing tutorials / cookbooks.  My preferred language for Data Science is R so all my Jupyter notebooks will use that language.

My very first tutorial is on Data Structures in R.  I recently acquired the second edition of Dr. Robert Kabacoff's excellent book titled "R In Action" and have decided to create a Jupyter notebook for (almost) every chapter in the book.  Here is the first one.  I hope you enjoy it.  Please feel free to comment and let me know your thoughts.

Click on this link for a quick tutorial on #Data Structures in #R: hat tip to — Venky Rao (@VRaoRao) August 11, 2017

SPSS Modeler - R Integration