Many years ago I taught a stats class for which one of the topics was hypothesis testing. Many of the students had a hard time remembering what situation each test was designed for, so I made a flowchart to help piece together the wild world of hypothesis tests. While the flowchart isn’t pretty (if I made it today, it would be much more attractive), I feel like it might be useful for others, so here it is:
While living in Seattle, I rode to and from Fremont every day on the Burke Gilman bike trail. Little did I know that everytime I went past NE 70th St, I (along with everyone else) was being recorded… It turns out that hourly data of traffic on the Burke Gilman trail is publicly available online. I decided to try out my D3 skills and make a cute little visualization of an average day in the life of the Burke Gilman trail.
Here I provide the code I used to create the figures from my previous post on alternatives to grouped bar charts. You are encouraged to play with them yourself! The key to creating unique and creative visualizations using libraries such as ggplot (or even just straight SVG) is (1) to move away from thinking of data visualization only as the default plot types (bar plots, boxplots, scatterplots, etc), and (2) to realise that most visualizations are essentially lines and circles that you can arrange however you desire in space.