Tip 1: Tidy evaluation Tip 2: Pipe into later arguments of a function using . Tip 3: Function conflicts workaround (no more dplyr::select()) Tip 4: geom_col(): you’ll never have to specify “stat = identity” for your bar plots ever again! Tip 5: Using show_col() for viewing colour palettes This was my second year attending rstudio::conf() as a diversity scholar (and my first time as a speaker), and I was yet again blown away by the friendliness of the community and the quality of the talks.
Over the new year I decided to work on my D3.js skills (rather than do the actual work that I probably should’ve done) by submitting an entry to the World Data Visualization competition. The interactive version of the fruits of my labour can be found by clicking here. Below is a static screenshot.
Essentially, the first screen shows each country’s happiness score (and are colored accordingly using the viridis color palette).
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.