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


Earthquakes Visualized

Using data from USGS (, I created a 3D web map of all earthquakes that occurred on 3 May 2017 with a magnitude > 1.0 on the Richter scale.  Here's a screenshot of my 3D web map:

If you want to experience the app in all its glory, click on this link:

If you want to stay on my awesome blog and experience the web app right here, you can do that here:

I would love to hear what you think!

Time enabled web app

Working with a collaborator who published a map service that showed the growth of US cities through time (from the year 1790 through 2000), I created an interactive time enabled web app. Here's a screenshot:

You can explore the app right here:

If however, you want to access the web app in it's own web page, go here:

The web app includes widgets that let you enable time scaling as well as changing the underlying basemap.  Feel free to explore the web app and let me know what you think.

Restaurant Location Selector


3D Web Scene of Earthquakes, Tornadoes, Typhoons and Cities

Here's my very first 3D Web Scene that visualizes natural disasters and two cities (Portland and Montreal):

A 3D Web Scene is Esri-speak for a 3D web map.  You can zoom and pan, re-orient, change basemaps, change the daylight settings, explore different views and do lots more.  Here's a screen shot of all typhoons represented on the 3D Web Scene:

In this screenshot, typhoons are represented as cylinder symbols, with greater heights representing higher wind speeds and darker colors representing lower barometric pressures.

If you don't want to leave my beautiful blog (I don't blame you), you can check out the embedded version of the 3D Web Scene right here:

Check it out.  I'd love to know what you think!