This project contains a list of data visualization generated using R.
GitHub tidytuesday repo
Tweets
It is a little bit tricky to do it. I have to make a duplicated row for the midnight hour (hr = 0) and name it as "hr = 24" so the time (0 6 12 18) will be aligned perfectly. https://t.co/poAzMwHNbX pic.twitter.com/eDr1AVtROt
— Zhi Yang, PhD (@zhiiiyang) December 24, 2019
As promised, here are a Sankey diagram and a Twitter-logo-shaped word cloud of the most used hashtags among tweets posted and liked by me in 2019. #rstats, an easy win! Followed by #rladies #dataviz #datascience #phdchat ...https://t.co/pDKzhqilW2 https://t.co/V0eldI5im4 pic.twitter.com/OCpC6amssw
— Zhi Yang, PhD (@zhiiiyang) December 26, 2019
#TidyTuesday I made an interactive treemap for revenue by category using treemap and d3treeR. #rstats pic.twitter.com/plRYgXSNs2
— Zhi Yang, PhD (@zhiiiyang) July 3, 2019
The gaokao is the national college entrance exam taken by Chinese students in June. In 2019, over 10M students took the exam. I hope this viz could help you understand how difficult to get into the top universities (Beijing and Tsinghua University) in China. #TidyTuesday #rstats pic.twitter.com/G425fyGGDD
— Zhi Yang, PhD (@zhiiiyang) June 29, 2019
❓When is high-frequency tweeting more likely to occur?
— Zhi Yang, PhD (@zhiiiyang) December 17, 2019
😂It is not near my defense (Oct 21st) but rather sometimes two weeks after when I need to get ready to move to Seattle (1st wk of Nov). Talking about the ultimate procrastination.
👉🏻 Using calendarHeat() by Paul Bleicher. pic.twitter.com/VDhaeswtu1
