Have you found yourself repeating the same analysis for different groups in your data? And have you wondered about a better way of doing so in R? I have this problem often. RMarkdown, knitr, and RStudio make generating such automated reports very easy. You need two things: A parent file ... [Read more...]

Madison Shake I had heard that the lines to get some food at Shake Shack are long. So when I saw a new location opening in downtown LA, I wondered how many locations does it have and how fast are they spreading across the US. The answers surprised me. Using ... [Read more...]

Parts-to-Whole Charts Creating good charts is difficult. Parts-to-whole charts are even more difficult to create, not technically, but to generate a higher level of efficacy. The most common parts-to-whole chart, in which you show different proportions of a measure, is a pie chart. So much so that a hotel advertised ... [Read more...]

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Deep Learning with TensorFlow Deep learning, also known as deep structured learning or hierarchical learning, is a type of machine learning focused on learning data representations and feature learning rather than individual or specific tasks. Feature learning, also known as representation learning, can be supervised, semi-supervised or unsupervised. Deep learning ... [Read more...]

Yes, I know. I’m a hypocrite to be creating ‘interesting’ stuff using R. If you’ll excuse me just this one time, you’ll see some silly fun using R. It is an experiment to see how much we can extend R as well as learning new packages. Add ... [Read more...]

The latest Spider-man movie, Spider-man: Homecoming, has high hopes for the Marvel Comic Universe just as Wonder woman from the DC universe proved a huge success. The Marvel and DC comic universes both have some great superheros, but only a few of them are succeeding at the box office. I ... [Read more...]

After President Trump declared that the U.S. was pulling out of the Paris agreement on climate change, the New York Times and Washington Post published a couple of stories. In these stories, they included a few charts. They caught my eye and I wanted to see whether I could ... [Read more...]

We know that the NY Times data visualizations are pretty awesome, but the Wall Street Journal’s data visualizations are nothing to laugh at. In fact, one of my favorite books on data visualization is by Dona Wong, the former graphics editor of Wall Street Journal and a student of ... [Read more...]

Undoubtedly, the New York Times publishes the best data visualizations and infographics that are data intensive, yet are elegant. The elegance comes from carefully studying the data, identifying the key patterns and simplifying the graphics to show these patterns or trends. Here’s what Amanda Cox, editor of The Upshot, ... [Read more...]

Have you seen the Walmart growth maps video at flowingdata? And, did you wish that you could create similar animated movies using R? Well, you came to the right place. In this post, you will learn how to create point maps at the zip code level and then animate them ... [Read more...]

Although you will learn in this article how to create inforgraphics in R, I will be honest: I don’t like meaningless, busy, and unactionable infographics. Then why did I write this article? A couple of reasons: I love the message of this chart I wanted to see what’s ... [Read more...]

I have seen many discussions around Tableau Vs. R. Here are my thoughts on this topic. Tableau is a fantastic tool for pattern discovery using data visualization. It is usually my tool of choice when I want throw some data and keep playing with the data to see whether any ... [Read more...]