Using the TidyTuesday Art History Data, I’ve created two plots. One is a ggstream plot organized by artist_race in the dataset. {width = 100%}
The seocnd is using ggwaffle organized by country.
This is my contribution to 2022, Week 4 TidyTuesday using data from Board Game Geek.
Starting with the packages and cleaning up the data. Some games are associated with multiple categories of board games.
This week for ‘#TidyTuesday’ used bee colony data collected by USDA at the state level for the US. Check it out here I decided to look at the average percent of colony decline in each state, for the last four years.
This is my contribution for #TidyTuesday, after a long time of not participating. I created an interactive plot using ggplot and plotly packages that compares the calories vs caffeine content of Starbucks drinks.
This is my contribution to TidyTuesday
In this, I’m attempting to use the gganimate package for the first time to create an animation showing volcanoe eruptions over the past century and their location.