Here is a thread showcasing my GitHub repositories: 1) Friends Don't Let Friends Make Bad Graphs. An opinionated essay on good and bad graphs.
My popular one by a long shot with 6.4k stars and 248 forks. https://github.com/cxli233/FriendsDontLetFriends
My popular one by a long shot with 6.4k stars and 248 forks. https://github.com/cxli233/FriendsDontLetFriends
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My 2nd most popular repository. Almost 500 stars and 100 forks. This one focuses on applied statistics and experimental design. Each lesson comes with a homework and answer key.
Quick data vis used to be listed under Online R learning, but now it has its own repository. Like Online R learning, it comes with homework & answer keys. I've been using this to teach 1st year plant breeding grad students for the last 3 years.
A gene co-expression analysis workflow based on tidyverse and graph-based clustering. Since its development, my lab has used it on a variety of experimental designs, across organs, stresses, species, and even cell types (single cell).
Scripts to produce customized upset plots, an alternative to Venn diagrams, based on a heatmap representation, which can be extended on all sides.
A workflow to model pathways as networks and visualize them using ggplot extensions ggraph.
A tidyverse and grammar of graphics powered line traces visualizer.