This visualization project is a custom version of a forest plot with additional bands that better visualize heterogeneity between studies in a meta-analysis.

In this generative art project, I used data drawn from different statistical distributions to arrange transparent shapes that together form imperfect patterns.

Because I found working with D3.js quite enjoyable, I decided to dive deeper into the underlying technology: JavaScript.

This project is an example of multiple data visualizations telling a story together in the form of a slide deck.

In this post I document my first two weeks diving back into data visualization while working with the web-based tools D3.

Data visualization is one of the most interesting data science subdomains for me, and now I decided to revisit my previous progress and build more on top of it.

Why does Shiny code feel different from any other R code written for data analysis or reporting?

This is an R/Shiny app that performs the t family of tests (on data uploaded by the user) with options that allow more flexible analysis.

As I go through the course Programming Languages Part B, which teaches programming concepts on the language Racket, let me reflect on the strange syntax of Lisp (on which Racket is based).

Just like the Python script I wrote earlier, I made a similar one in R to automate a simple sequence of Git commands.