Purpose The goal of this post is to source and analyze Twitter posts and followers for a given Twitter account (“handle”) using R. We will identify tweets with the most likes and retweets, as well as posting trends over time. We will also map the geographic distribution of Twitter followers ...

In today's blog, I explore k-means clustering capabilities in R including algorithms, visualizations and methodologies to identify the optimal number of clusters ("k"). K-means clustering is an unsupervised machine learning tool to group s...

In today's blog, I explore k-means clustering capabilities in R including algorithms, visualizations and methodologies to identify the optimal number of clusters ("k"). K-means clustering is an unsupervised machine learning tool to group s...

Motivation For the May 26 2020 R4DS Tidy Tuesday data set, I explored UpSet charts, which simplify visualizing overlap of large numbers of sets. Laura Ellis has a useful explanation of how Venn and Euler diagrams become unwieldy for intersections of greater than two sets. I analyzed which ingredients, as well ...

Motivation Spotify is an amazing app to play favorite music, discover new music and rediscover old favorites. In addition, the Spotify API provides free access to a wide array of data on songs, which R users can leverage via Charlie Thompson's spot...

A collection of data visualizations I have built for fun using the R programming language. All visualizations are produced via code without post-processing. The examples source data from the weekly R4DS #TidyTuesday project, which is a community fo...