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echarts4r
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# echarts4r
[](https://github.com/JohnCoene/echarts4r/actions/workflows/R-CMD-check.yaml)
[](https://www.tidyverse.org/lifecycle/#stable)
[](https://github.com/JohnCoene/echarts4r/issues)
[](https://github.com/JohnCoene/echarts4r)
[](https://github.com/JohnCoene/echarts4r)
[](https://coveralls.io/github/JohnCoene/echarts4r)
Interactive visualisations for R via [Apache
ECharts](https://echarts.apache.org/)
[Get Started](https://echarts4r.john-coene.com/articles/get_started.md)
[Reference](https://echarts4r.john-coene.com/reference/)
[Timeline](https://echarts4r.john-coene.com/articles/timeline) [Shiny
Demo](http://shiny.john-coene.com/echarts4rShiny)
#### Version 6
Explore new features available on version 6 of echarts.js!
[Explore](https://echarts4r.john-coene.com/articles/v6)
## Introduction
Thanks to [Sharon Machlis](https://twitter.com/sharon000) there is an
amazing video and
[article](https://www.infoworld.com/article/3607068/plot-in-r-with-echarts4r.html)
introducing echarts4r.
You can learn how to build such R packages for interactive
visualisations with the book [JavaScript for
R](https://javascript-for-r.com/).
## Installation
The package is available on
[CRAN](https://CRAN.R-project.org/package=echarts4r). The full
installation can be obtained with:
``` r
install.packages("echarts4r")
```
However, if you only want a *lite* version you can simply do, this is
useful for a lighter version that installs faster if you do not want to
use any of the geospatial features of the package:
``` r
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