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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 #rstatshttps://t.co/2CU6uGJGOF#DataScience#dataviz#dsx#ibmaot#IBM h/t @kabacoffpic.twitter.com/HdCCRxP8FG — 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: https://t.co/EsalloitG5#rstats#ibm#dsx#ibmaot hat tip to @kabacoffpic.twitter.com/m9kDINC9CX — Venky Rao (@VRaoRao) August 11, 2017

SPSS Modeler - R Integration

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