This package is a thin R wrapper around Javascript library
ECharts.
One major command(ec.init) uses R lists to support the ECharts API.
Benefit from ECharts full functionality and build
interactive charts in R and Shiny with minimal overhead.
Wider connectivity and deployment potential through crosstalk.
Compare to echarts4r 📌
| R package | echarts4r | echarty |
|---|---|---|
| initial commit | Mar 12, 2018 | Feb 5, 2021 |
| library size |  |
|
| test coverage |   |
|
| lines of code | 1,171,938 |
5,061 |
| API design (1) | own commands with parameters | mostly ECharts option lists |
| number of commands | over 200 | one command + optional utilities |
| data storage support | series data | datasets, series data |
| crosstalk support | no | yes |
| utilities | bezier, correlations, histogram, density, loess, flip, nesting, more | extended boxplots, tabsets, layouts, shapefiles, lotties, more |
This review done Sept 2023 for echarts4R v.0.4.5 and echarty v.1.5.4.03.
(1) We encourage users to follow the original ECharts documentation to construct charts with echarty. This differs from echarts4r which uses own commands for most chart options.
Please consider granting a Github star ⭐ to show your support.
Latest development build 1.6.2.02
if (!requireNamespace('remotes')) install.packages('remotes')
remotes::install_github('helgasoft/echarty')
From CRAN:
install.packages('echarty')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 chart
echarty::ec.fromJson('https://helgasoft.github.io/echarty/test/pfull.json')
The Coder is a good introduction, type library(echarty); demo(coder).
The WEBSITE has a gallery with code and tutorials.
The package itself has plenty of code examples
included. Type
?ec.examples, then copy/paste any code to
see the chart.
Now you can start building beautiful ECharts (and more) with R and Shiny!
Made with echarty. Powered by ECharts.