TidyTuesday
My contributions to the #TidyTuesday challenge, a weekly data visualization challenge. All plots are 💯 created in R with ggplot2. (by Z3tt)
patchwork
The Composer of ggplots (by thomasp85)
| TidyTuesday | patchwork | |
|---|---|---|
| 2 | 7 | |
| 737 | 2,392 | |
| - | - | |
| 4.4 | 7.5 | |
| 8 months ago | about 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.
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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.
patchwork
Posts with mentions or reviews of patchwork.
We have used some of these posts to build our list of alternatives
and similar projects. The last one was on 2022-04-19.
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What is your favorite piece if Technogy or R package which you wish you would have discovered earlier ?
patchwork and ggrepel
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What is this chart type called? I’d like to recreate something similar in ggplot but I’m not sure what to Google for the code. Thanks guys
3 waffle charts, patched together with patchwork https://patchwork.data-imaginist.com/
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Dynamic subplot layout on Jupyter-lab
Here, I developed patchworklib that allows users to arrange subplots dynamically and determine the best layout from the multiple layouts. Patchworklib is inspired by patchwork library for R ggplot2, so it enables designing subplot layouts with only / and | operators.
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Pathcworklib: A subplot manager for intuitive layout in matplotlib
So, I developed patchworklib inspired by the patchwork library for R. With patchwroklib, after creating individual plots, you can quickly design multiple layouts combining them and select the best one among them.
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How to combine multiple figures together into one larger figure? What package is good for this?
There https://patchwork.data-imaginist.com
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Quick Tutorial: How to Create Side-by-Side Plots in ggplot2
The author of patchwork offers some justification for the package here compared to other R packages that facilitate the plotting of ggplot objects (e.g., gridExtra, cowplot). The syntax appears to be simpler than creating matrices to specify layouts as in gridExtra, but the examples given on the GitHub page don't really demonstrate how the package deals with the more complex layouts that are possible in gridExtra.
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Has anyone ever "tied" two graphs together in R?
Try the patchwork package which lets you glue graphs together. Amazing stuff!
What are some alternatives?
When comparing TidyTuesday and patchwork you can also consider the following projects:
ggsignif - Easily add significance brackets to your ggplots
echarts4r - 🐳 ECharts 5 for R
Practical-Applications-in-R-for-Psychologists - Lesson files for Practical Applications in R for Psychologists.
patchworklib - Patchwork for matplotlib: A subplot manager for intuitive layouts in matplotlib, seaborn, and plotnine.
ggthemr - Themes for ggplot2.
gganimate - A Grammar of Animated Graphics
paletter - build your palette from a picture √
ggvenn - Venn Diagram by ggplot2, with really easy-to-use API.
complex-upset - A library for creating complex UpSet plots with ggplot2 geoms
UpSetR - An R implementation of the UpSet set visualization technique published by Lex, Gehlenborg, et al..
votemapswitzerland - A Swiss version of the famous visualization «Land doesn't vote, people do.»
ggsci - 🦄 Scientific journal and sci-fi themed color palettes for ggplot2
TidyTuesday vs ggsignif
patchwork vs echarts4r
TidyTuesday vs Practical-Applications-in-R-for-Psychologists
patchwork vs patchworklib
TidyTuesday vs ggthemr
patchwork vs gganimate
TidyTuesday vs paletter
patchwork vs ggvenn
patchwork vs complex-upset
patchwork vs UpSetR
patchwork vs votemapswitzerland
patchwork vs ggsci