understatr
echarts4r
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| understatr | echarts4r | |
|---|---|---|
| 2 | 3 | |
| 81 | 573 | |
| - | - | |
| 0.0 | 7.2 | |
| over 2 years ago | 2 months ago | |
| R | JavaScript | |
| MIT License | GNU General Public License v3.0 or later |
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.
understatr
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[OC] Visualising shot-creating actions in football - all Arsenal players with over 5 shot-creating actions in PL 2020/21
Additional credit: understatr package, https://github.com/ewenme/understatr
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How Aston Villa went from surviving to thriving in the Premier League
Thanks! Understat.com has great xG data and allows you to pull it into R very easily (like this)[https://github.com/ewenme/understatr]. There were also a couple random pieces of information that I found at whoscored.com. Thanks for reading!
echarts4r
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A love letter to Apache Echarts
You can also use Apache Echarts through R with this package: https://echarts4r.john-coene.com/
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echarts4r VS echarty - a user suggested alternative
2 projects | 2 Jun 2022
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I'd like to know R but my immediate need is to make interactive charts in html format for web publication. Is ggplotly any good?
This might shock you, but open-source software is an open and collaborative effort. If you think that the example with two Y-axes undermines this entire project, you can go to the echarts4r github repository, open a pull request (the website is made via pkgdown), and propose improvements to the documentation. Maybe do something good instead??
What are some alternatives?
ggshakeR - An analysis and visualization R package that works with publicly available soccer data
plotly.js - Open-source JavaScript charting library behind Plotly and Dash
football_analytics - 📊⚽ A collection of football analytics projects, data, and analysis by Edd Webster (@eddwebster), including a curated list of publicly available resources published by the football analytics community.
patchwork - The Composer of ggplots
engsoccerdata - English and European soccer results 1871-2022
echarty - The goal of echarty is to provide a minimal interface, a “glue”, between R and ECharts, then let your R data lists build the chart. There are utilities included to assist with data preparation, Shiny with proxy and JS plugins. Have the full functionality of ECharts in R with minimal overhead!
worldfootballR - A wrapper for extracting world football (soccer) data from FBref, Transfermark, Understat and fotmob
wink-nlp - Developer friendly Natural Language Processing ✨
shinyjs - 💡 Easily improve the user experience of your Shiny apps in seconds
rnim - A bridge between R and Nim
r-shinylive-demo - Deploying an R Shiny Application in Quarto with Shinylive (No Shiny Server Required)
echarts-gl - Extension pack for Apache ECharts, providing globe visualization and 3D plots.