echarts4r

ECharts 4: powerful interactive visualisations in R.

Get Started Gallery Changelog Shiny demo

Installation

The package is available on CRAN:

install.packages("echarts4r")

You can also install the development version of echarts4r with devtools or remotes from Github or Bitbucket.

# install.packages("devtools")
devtools::install_github("JohnCoene/echarts4r") # github

# install.packages("remotes")
remotes::install_bitbucket("JohnCoene/echarts4r") # bitbucket

Features

Some of the features:

• 33 chart types
• Animations
• Brush & sliders
• WebGL support
• Plugins included
• Shiny proxies
• Themes

Group

echarts4r now understands dplyr::group_by in order to better work with tidy data concept; the package now works much better with *long* datasets. See get started guide or the various examples in the functions' documentation or the gallery

# one serie per group
 iris %>% 
   group_by(Species) %>% 
   e_charts(Sepal.Length) %>% 
   e_line(Sepal.Width)

Assets

Assets for Web GL globes make the package very large, therefore they will be moved to a companion package, echarts4r.assets. This only concerns a handful of functions (like e_stars_texture) and allows making more textures available the package is already available and contains numerous textures.

Example

library(echarts4r)

url <- paste0("https://ecomfe.github.io/echarts-examples/",
              "public/data-gl/asset/data/population.json")
data <- jsonlite::fromJSON(url)
data <- as.data.frame(data)
names(data) <- c("lon", "lat", "value")

data %>% 
    e_charts(lon) %>% 
    e_geo_3d() %>% 
    e_bar_3d(lat, value, coord.system = "geo3D") %>% 
    e_visual_map()