For the 2022-03-15 #tidytuesday, we're working with data compiled by Robert Flight. The data reflects vignette uploads to the CRAN and Bioconductor. I wanted to focus on the seasonal nature of uploads, so I used a spiral plot. This was a great opportunity to use the spiralize and ComplexHeatmap packages by Zuguang Gu. I had to rely a lot on the grid functionality to add the title, subtitles, and caption. I found these posts by particularly helpful. Note: I used the zoo package to calculate the 7-day rolling averages. All code is available at github
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2 TidyTuesdays
The last two weeks of #tidytuesday have both involved data that can be spatially mapped. They were a good opportunity to get more familiar with showing information on states in the US or countries in Europe. Alternative fuel sources in the US The data for 2022-03-01 are fueling stations throughout the US that offer alternatives to gasoline or diesel. I used the usmap package to help plot this one: Code for this graphic is here Erasmus exchange program The data for 2022-03-08 come from the Erasmus+ exchange program. It allows students to travel to other countries. I decided to look at which countries received more students than they sent away.…
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My first #TidyTuesday
I've enjoyed lurking the #tidytuesday hastag on Twitter. For those unfamiliar - every Tuesday a new dataset is provided, and folks are encouraged to practice their data visualization skills, especially within the tidyverse. For Black History Month, the goal is to recreate some of the iconic images that W.E.B. Du Bois created for the 1900 Paris Exposition. For this week, the goal is to recreate “Valuation of Town and City Property Owned by Georgia Negroes” (plate 21) Overall, I'm pretty happy with how this turned out. Here's a sneak peak at the final product. You can find all of the code for these plots