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https://github.com/helgasoft/echarty
Minimal R/Shiny Interface to ECharts.js
https://github.com/helgasoft/echarty
3d animation boxplot charts crosstalk dendrogram echarts geojson globe graphs heatmap hierarchical-data leaflet maps morphing r shapefiles shiny visualization webr
Last synced: 3 months ago
JSON representation
Minimal R/Shiny Interface to ECharts.js
- Host: GitHub
- URL: https://github.com/helgasoft/echarty
- Owner: helgasoft
- Created: 2021-02-06T01:23:21.000Z (almost 4 years ago)
- Default Branch: main
- Last Pushed: 2024-10-30T05:29:37.000Z (3 months ago)
- Last Synced: 2024-10-30T08:36:49.618Z (3 months ago)
- Topics: 3d, animation, boxplot, charts, crosstalk, dendrogram, echarts, geojson, globe, graphs, heatmap, hierarchical-data, leaflet, maps, morphing, r, shapefiles, shiny, visualization, webr
- Language: R
- Homepage: https://helgasoft.github.io/echarty/
- Size: 33.8 MB
- Stars: 86
- Watchers: 2
- Forks: 3
- Open Issues: 2
-
Metadata Files:
- Readme: README.md
- Funding: .github/FUNDING.yml
Awesome Lists containing this project
- awesome-echarts - echarty - Minimal R/Shiny wrapper supports full functionality of Apache ECharts (Languages / R)
README
# 
echarty
[](https://github.com/helgasoft/echarty/actions)
[](https://coveralls.io/r/helgasoft/echarty?branch=main)
[](https://github.com/helgasoft/echarty/releases/)
[](https://helgasoft.github.io/echarty)
[](https://twitter.com/echarty_R)
This package is a thin R wrapper around Javascript library
[ECharts](https://echarts.apache.org/en/index.html).
**One** major command(_ec.init_) uses R lists to support the [ECharts API](https://echarts.apache.org/en/option.html).
Benefit from ECharts **full functionality** and build
interactive charts in R and Shiny with minimal overhead.
Wider connectivity and deployment potential through [WebR](https://helgasoft.github.io/echarty/test/coder.html) and [crosstalk](https://rpubs.com/echarty/crosstalk).
Compare to echarts4r 📌
R package | echarts4r | echarty
--- | --- | ---
initial commit | Mar 12, 2018 | Feb 5, 2021
library size |  | 
test coverage |  [](https://coveralls.io/github/JohnCoene/echarts4r) |  [](https://coveralls.io/github/helgasoft/echarty)
lines of code | 1,202,623 [](https://api.codetabs.com/v1/loc/?github=JohnCoene/echarts4r) | 5,517 [](https://api.codetabs.com/v1/loc?github=helgasoft/echarty)
API design (1) | own commands with parameters | mostly [ECharts option](https://echarts.apache.org/en/option.html) lists
number of commands | over [200](https://echarts4r.john-coene.com/reference/) | **one** command + optional utility commands
data storage support | series data | **[datasets](https://echarts.apache.org/en/option.html#dataset)**, series data
dependencies ([packrat](https://rdrr.io/cran/packrat/src/R/recursive-package-dependencies.R#sym-recursivePackageDependencies)) | 65 | 40
dependencies ([WebR](https://repo.r-wasm.org)) | 188 | 46
[WebR](https://docs.r-wasm.org/webr/latest/) support | no | **yes**
[crosstalk](https://rstudio.github.io/crosstalk/) support | no | **yes**
utilities | bezier, correlations, histogram, density, loess, flip, nesting, more | extended boxplots, tabsets, layouts, shapefiles, lotties, more
(1) We encourage users to follow the original ECharts API to construct charts with echarty.
This differs from echarts4r which uses own commands for most chart options.
Comparison review done Feb 2024 for current versions of echarts4R and echarty.
___
Please consider granting a Github star ⭐ to show your support.
## Installation
Latest development build **1.6.4**
``` r
if (!requireNamespace('remotes')) install.packages('remotes')
remotes::install_github('helgasoft/echarty')
```
[](https://cran.r-project.org/package=echarty)
From [CRAN](https://CRAN.R-project.org):
``` r
install.packages('echarty')
```
## Examples
``` r
library(echarty); library(dplyr)
# scatter chart (default)
cars |> ec.init()
# parallel chart
ToothGrowth |> ec.init(ctype= 'parallel')
# 3D chart with GL plugin
iris |> group_by(Species) |> ec.init(load= '3D')
# timeline of two series with grouping, formatting, autoPlay
iris |> group_by(Species) |>
ec.init(
timeline= list(autoPlay= TRUE),
series.param = list(
symbolSize= ec.clmn('Petal.Width', scale= 9),
encode= list(x= 'Sepal.Width', y='Petal.Length'),
markLine= list(data= list(list(type='max'), list(type='min')))
)
)
# show a remote map chart, needs package leaflet installed
echarty::ec.fromJson('https://helgasoft.github.io/echarty/test/pfull.json')
```
## Get started
The **Coder** is a good introduction, type ```library(echarty); demo(coder)```.
The [**WEBSITE**](https://helgasoft.github.io/echarty) has a vast gallery with code and tutorials.
The package itself has also [**code examples**](https://github.com/helgasoft/echarty/blob/main/R/examples.R)
included. Type
**?ec.examples**, then copy/paste any code to
see the chart.
Now you can start building [**beautiful
ECharts**](https://echarts.apache.org/examples/en/index.html) (and
[**more**](https://www.makeapie.cn/echarts)) with R and Shiny!
Made with echarty. Powered by ECharts.