Goodbye GitHub Pages, I hope you’re not too upset! After finding myself increasingly frustrated with GitHub Pages inability to cooperate with my website engine of choice, Hugo, I’ve decided to make a move. Here are the reasons why: Having all of my project pages being subpages of my personal page felt weird. Dealing with git subtrees, merge conflicts on the master branch, and having to do all kinds of work-arounds to get Hugo to play nice with GitHub Pages was driving me crazy.
Choosing a color palette for a visualization can be one of the most time consuming parts for perfectionists like me. It can be surprisingly difficult to decide on a palette that is both visually appealing and practical, but fortunately there do exist websites to help! For example, Coolors shoots random, appealing, color palettes at you and you can swipe from one to the next with a hit of a space-bar.
Last week I gave an SGSA seminar on interactive visualizations in R. Here is a long-form version of the talk. Why be interactive? Interactivity allows the viewer to engage with your data in ways impossible by static graphs. With an interactive plot, the viewer can zoom into the areas the care about, highlight the data points that are relevant to them and hide the information that isn’t. Above all of that, making simple interactive plots are a sure-fire way to impress your coworkers!