https://github.com/erictleung/tidytuesdays

:chart_with_upwards_trend: My attempts at #tidytuesday
https://github.com/erictleung/tidytuesdays

data data-science data-visualization r rstats tables tidytuesday tidyverse

Last synced: 17 days ago
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:chart_with_upwards_trend: My attempts at #tidytuesday

• Host: GitHub
• URL: https://github.com/erictleung/tidytuesdays
• Owner: erictleung
• Created: 2019-04-10T02:51:51.000Z (over 5 years ago)
• Default Branch: main
• Last Pushed: 2023-01-04T03:29:53.000Z (almost 2 years ago)
• Last Synced: 2024-06-11T23:04:42.391Z (7 months ago)
• Topics: data, data-science, data-visualization, r, rstats, tables, tidytuesday, tidyverse
• Language: R
• Homepage:
• Size: 56.6 KB
• Stars: 0
• Watchers: 1
• Forks: 0
• Open Issues: 0
• Metadata Files:
  • Readme: README.md

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README

        
# tidytuesday

Participating analyses in `#TidyTuesdays`

https://github.com/rfordatascience/tidytuesday

**Contents**

- [Index of Tuesdays](#index-of-tuesdays)

- [Index of ggplot2 functions and tasks implemented](#index-of-ggplot2-functions-and-tasks-implemented)

- [List of themes and extensions](#list-of-themes-and-extensions)

- [Helpful tools](#helpful-tools)

## Index of Tuesdays

- [2021-03-17 The Office](tuesdays/2020/2020-03-17_the-office)

## Index of ggplot2 functions and tasks implemented

TODO

## List of themes and extensions

**Themes**

- [Built-in ggplot2 themes](https://ggplot2.tidyverse.org/reference/ggtheme.html)

- [`ggthemes`](https://github.com/jrnold/ggthemes)

- [`hrbrthemes`](https://github.com/hrbrmstr/hrbrthemes)

- [`ggthemr`](https://github.com/cttobin/ggthemr) - Examples https://www.shanelynn.ie/themes-and-colours-for-r-ggplots-with-ggthemr/

- [`tvthemes`](https://github.com/Ryo-N7/tvthemes)

- [`ggsci`](https://github.com/nanxstats/ggsci)

**Miscelleneous**

- [`gghighlight`](https://github.com/yutannihilation/gghighlight)

- [`ggbeeswarm`](https://github.com/eclarke/ggbeeswarm)

## Helpful tools

**Colors**

- [How to pick more beautiful colors for your data

  visualizations](https://blog.datawrapper.de/beautifulcolors/) - Helpful in

  designing a good color pallete to visualize

- [bbplot](https://github.com/bbc/bbplot) - Create and export graphics in the

  style of the BBC News team

- [Color Palette Color Schemes](https://www.color-hex.com/color-palettes/)

**Graph types**

- [The R Graph Gallery](https://www.r-graph-gallery.com/) - Quickly index and

  identify examples of common plot types

- [ggplot2 Extensions](https://exts.ggplot2.tidyverse.org/) - Community driven

  extensions for ggplot2

**References**

- [ggplot2 Reference](https://ggplot2.tidyverse.org/reference/index.html) -

  Minimal examples with documentation

- [ggplot2: Elegant Graphics for Data Analysis](https://ggplot2-book.org/) -

  Book with more extensive explanations of functions

- [Top 50 ggplot2 Visualizations - The Master List (With Full R

  Code)](http://r-statistics.co/Top50-Ggplot2-Visualizations-MasterList-R-Code.html)

- [BBC Visual and Data Journalism Cookbook for R

  Graphics](https://bbc.github.io/rcookbook/)