paletter
build your palette from a picture √ (by AndreaCirilloAC)
TidyTuesday
My contributions to the #TidyTuesday challenge, a weekly data visualization challenge. All plots are 💯 created in R with ggplot2. (by Z3tt)
| paletter | TidyTuesday | |
|---|---|---|
| 1 | 2 | |
| 101 | 737 | |
| - | - | |
| 10.0 | 4.4 | |
| over 1 year 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.
paletter
Posts with mentions or reviews of paletter.
We have used some of these posts to build our list of alternatives
and similar projects.
-
Is there python library equivalent of paletteR for color palette analysis/visualization?
R package: https://github.com/AndreaCirilloAC/paletter
TidyTuesday
Posts with mentions or reviews of TidyTuesday.
We have used some of these posts to build our list of alternatives
and similar projects.
-
Who else ..?
I’ll just leave this here: https://github.com/z3tt/TidyTuesday
-
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 paletter and TidyTuesday you can also consider the following projects:
votemapswitzerland - A Swiss version of the famous visualization «Land doesn't vote, people do.»
ggsignif - Easily add significance brackets to your ggplots
vapoRwave - 📼👾🕹Vaporwave themes and color palettes for ggplot2💾👨🎤📺
Practical-Applications-in-R-for-Psychologists - Lesson files for Practical Applications in R for Psychologists.
ggplot2 - An implementation of the Grammar of Graphics in R
ggthemr - Themes for ggplot2.
uefa-ec - Visualizing bilateral links between Euro squads and players clubs
ggstatsplot - Enhancing {ggplot2} plots with statistical analysis 📊📣