UM-R-for-EnvSci-Registered-Student-2021 / wk07-Tidytuesday-commentary

Repo for comentary on this week's twitter #TidyTuesday posts
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Week 7 Tidy Tuesday Commentary #8

Open LHicks19 opened 2 years ago

LHicks19 commented 2 years ago

code/tools/approaches we have seen in class -tidyverse, ggrepel, %>%, mutate, summarize, function, facet_wrap, ggplot, theme, patchwork

code/tools/approaches we have not seen in class -layout, facet_labeller, camcorder, waffle, glue, cowplot, ggdraw

Data visualizations that I enjoyed I really likes this figure https://twitter.com/meghansharris/status/1453228577256722432?s=20, Meghan did a good job of representing the ages of the runners with a histogram, but also included the individual points below the histogram. When looking at her code Meghan used # to explain the steps and what each thing was for. I found this really helpful for learning what new packages were used for. I also really enjoyed the figure Benjamin made https://twitter.com/BjnNowak/status/1453012193155428353?s=20 as is is very informative but not overwhelming

Data visualizations that need improvement I think that the figure by Javier could be improved https://twitter.com/TamayoLeiva_J/status/1454101593746460673?s=20. Although it may look cool at first glimpse it is hard to read and I don't think a circle is the best way to display this data, I think a histogram of the different regions compared to each other would be better as you could easily compare between them.