TidyTuesday
My contributions to the #TidyTuesday challenge, a weekly data visualization challenge. All plots are 💯 created in R with ggplot2. (by Z3tt)
tidy_tuesday_R
Contributions to the #TidyTuesday challenge created by @R4DScommunity (by isaacarroyov)
TidyTuesday | tidy_tuesday_R | |
---|---|---|
2 | 1 | |
737 | 16 | |
- | - | |
4.4 | 4.9 | |
7 months ago | 3 months ago | |
R | R | |
- | - |
The number of mentions indicates the total number of mentions that we've tracked plus the number of user suggested alternatives.
Stars - the number of stars that a project has on GitHub. Growth - month over month growth in stars.
Activity is a relative number indicating how actively a project is being developed. Recent commits have higher weight than older ones.
For example, an activity of 9.0 indicates that a project is amongst the top 10% of the most actively developed projects that we are tracking.
Stars - the number of stars that a project has on GitHub. Growth - month over month growth in stars.
Activity is a relative number indicating how actively a project is being developed. Recent commits have higher weight than older ones.
For example, an activity of 9.0 indicates that a project is amongst the top 10% of the most actively developed projects that we are tracking.
TidyTuesday
Posts with mentions or reviews of TidyTuesday.
We have used some of these posts to build our list of alternatives
and similar projects.
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Who else ..?
I’ll just leave this here: https://github.com/z3tt/TidyTuesday
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At what point does data visualization require photoshop?
Cédric Scherer makes visualizations on par with these entirely in R and all his code is available on GitHub: https://github.com/Z3tt/TidyTuesday I think you could learn a lot by studying his code. He also has some tutorials: one on making beautiful plots in general with ggplot2 and another for going from a basic boxplot to a publication worthy graph.
tidy_tuesday_R
Posts with mentions or reviews of tidy_tuesday_R.
We have used some of these posts to build our list of alternatives
and similar projects. The last one was on 2022-07-28.
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[OC] 20 years of historical hotspots in Yucatan, Mexico.
Tools: R + tidyverse packages (to get a specific look at how I created the DataViz and what other R packages I used, you can check out the code here: https://github.com/isaacarroyov/tidy_tuesday_R/blob/main/gallery_2022/2022_week-30_byod.R)
What are some alternatives?
When comparing TidyTuesday and tidy_tuesday_R you can also consider the following projects:
ggsignif - Easily add significance brackets to your ggplots
statebins - Alternative to choropleths of US States ala http://bit.ly/statebins
Practical-Applications-in-R-for-Psychologists - Lesson files for Practical Applications in R for Psychologists.
ggthemr - Themes for ggplot2.
paletter - build your palette from a picture √