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.
At some point in your life you have probably found yourself standing face-to-face with a beast known as a grouped bar chart. Perhaps it was in a research paper where the authors were trying to compare the results of several models across different datasets, or it was in a talk given by a colleague who was trying to compare the popularity of different products among distinct groups of consumers. The first time you encountered a grouped bar chart you might have thought “what a neat way to put so much information in a single plot!