ggplot2

Let the snail crawl: Animated density curves

Let the snail crawl: Animated density curves

Previously, I’ve plotted a ridgeline based on a variable’s density through time. It might look nice but it’s quite obvious that time can be visualized in a more fitting way - by time itself, in an animated plot that is. So, let’s fire up the {gganimate} package again. My goal is to show a moving kernel density curve as it moves through time, based on a moving window of 30 days sliding from the past to the present.
'There is a game I play' - Analyzing Metacritic scores for video games

'There is a game I play' - Analyzing Metacritic scores for video games

There is a game I play / try to make myself okay / try so hard to make the pieces all fit / smash it apart / just for the f**k of it (Nine Inch Nails: The Big Come Down) After this rather distressing opening by the Nine Inch Nails, let’s turn to a more uplifting topic: video games! There is a dataset on Kaggle with ratings for over 4000 video games.
Correspondence Analysis visualization using ggplot

Correspondence Analysis visualization using ggplot

What we want to do Recently, I used a correspondence analysis from the ca package in a paper. All of the figures in the paper were done with ggplot. So, I wanted the visualization for the correspondence analysis to match the style of the other figures. The standard plot method plot.ca() however, produces base graphics plots. So, I had to create the ggplot visualization myself. Actually, I don’t know if there are any packages that take a ca object (created by the ca package) and produce ggplots from it.

‚Arrest this man, he talks in maths‘ - Animating ten years of listening history on Last.FM

Previously, when Rcrastinate was still on blogspot.com, I had a first look at ten years of my playback history on Last.FM. But there is still a lot one can do with this dataset. I wanted to try {gganimate} for a long time and this nice longitudinal dataset gives me the opportunity. Loading and preparing the data First, I am loading the dataset. I already did some preparations like extracting the top five tags for each track and some other stuff I used in my previous entry.