tidy_tuesday_R
Contributions to the #TidyTuesday challenge created by @R4DScommunity (by isaacarroyov)
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 | TidyTuesday | |
|---|---|---|
| 1 | 2 | |
| 16 | 738 | |
| - | - | |
| 4.9 | 4.4 | |
| 3 months ago | 8 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.
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)
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.
What are some alternatives?
When comparing tidy_tuesday_R and TidyTuesday you can also consider the following projects:
statebins - Alternative to choropleths of US States ala http://bit.ly/statebins
ggsignif - Easily add significance brackets to your ggplots
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 √