TidyTuesday
My contributions to the #TidyTuesday challenge, a weekly data visualization challenge. All plots are 💯 created in R with ggplot2. (by Z3tt)
gganimate
A Grammar of Animated Graphics (by thomasp85)
| TidyTuesday | gganimate | |
|---|---|---|
| 2 | 3 | |
| 737 | 1,925 | |
| - | - | |
| 4.4 | 7.4 | |
| 7 months ago | 2 months ago | |
| R | R | |
| - | GNU General Public License v3.0 or later |
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.
-
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.
gganimate
Posts with mentions or reviews of gganimate.
We have used some of these posts to build our list of alternatives
and similar projects. The last one was on 2021-04-16.
-
[OC] Post office locations in the continental US: 1770-2002
The gganimate package is great for this! https://github.com/thomasp85/gganimate
-
The Battle for Third in Market Capitalization—Cryptocurrency [OC]
This was created using R's {gganimate} package. Huge help from this stackoverflow post showing how to interpolate the values between frames to add more flow to the animation. As well, this post about emoji's that provides a `mean_colour` function that made it easier to match bar colours to the coin images.
What are some alternatives?
When comparing TidyTuesday and gganimate you can also consider the following projects:
ggsignif - Easily add significance brackets to your ggplots
tidytuesday - Official repo for the #tidytuesday project
Practical-Applications-in-R-for-Psychologists - Lesson files for Practical Applications in R for Psychologists.
ggvenn - Venn Diagram by ggplot2, with really easy-to-use API.
ggthemr - Themes for ggplot2.
patchwork - The Composer of ggplots
paletter - build your palette from a picture √
esquisse - RStudio add-in to make plots interactively with ggplot2
waffle - :maple_leaf: Make waffle (square pie) charts in R
gggenomes - A grammar of graphics for comparative genomics
ncaahoopR - An R package for working with NCAA Basketball Play-by-Play Data
TidyTuesday vs ggsignif
gganimate vs tidytuesday
TidyTuesday vs Practical-Applications-in-R-for-Psychologists
gganimate vs ggvenn
TidyTuesday vs ggthemr
gganimate vs patchwork
TidyTuesday vs paletter
gganimate vs esquisse
gganimate vs waffle
gganimate vs gggenomes
gganimate vs ncaahoopR
gganimate vs ggsignif