Featuring data science tutorials, modelling, and visualization.
Written by Oliver C. Stringham
This week I explored the TidyTuesday dataset of the week: Fall enrollment in degree-granting historically Black colleges and universities (HBCU). I plotted the proportion of student enrollment by gender over time. Plot made in R with ggplot2.
For this #TidyTuesday, I plotted the age of contestants on The Bachelor across >20 seasons. There was no significant trend in the age of contestants over time. The average age is between 25 and 27 with some variation from 21 to 34.
#TidyTuesday dataset of the week is the art collection of Tate Art Museum. I made a visual of the number of acquisitions made by Tate by decade taking into account what decade the art was created.
#TidyTuesday dataset of the week is the BBC Women of 2020! I made an interactive web map using #rstats and LeafletJS
The #TidyTuesday data of the week come from #OpenDataToronto on homeless shelters in Toronto and their occupancy from 2017 - 2019. I took a try at web map with help from #rstats and Leafletjs.