Powerful interactive visualisations in R.
Installation
The package is available on CRAN:
You can also install the unstable development version of echarts4r with remotes from Github, see changes.
Companions
Companion packages to make echarts4r even better. You can install and load the whole suite with:
echarts4r.assets
Assets for globes, add visually interesting globe overlays and background.
remotes::install_github('JohnCoene/echarts4r.assets')
echarts4r.maps
A collection of 215 country maps to use with geo-spatial visualisations.
remotes::install_github('JohnCoene/echarts4r.maps')
Example
Create multiple charts, arrange them in a grid and connect their interactions.
library(dplyr)
library(echarts4r)
e1 <- iris %>%
group_by(Species) %>%
e_charts(
Sepal.Length,
elementId = "chart"
) %>%
e_scatter(Petal.Length, Sepal.Width) %>%
e_datazoom(show = FALSE, y_index = 0) %>%
e_x_axis(min = 4) %>%
e_highlight(
series_name = list("setosa", "versicolor", "virginica"),
btn = "high"
) %>%
e_downplay(
series_name = list("setosa", "versicolor", "virginica"),
btn = "down"
) %>%
e_button(
"high", "Highlight",
class = "btn btn-primary",
position = "bottom"
) %>%
e_button(
"down", "Downplay",
class = "btn btn-default",
position = "bottom"
) %>%
e_legend(FALSE) %>%
e_title("Connect charts") %>%
e_tooltip(
trigger = "item",
axisPointer = list(
type = "cross"
)
)
e2 <- iris %>%
group_by(Species) %>%
e_charts(Petal.Length) %>%
e_line(Sepal.Length) %>%
e_connect("chart") %>%
e_datazoom(y_index = 0) %>%
e_x_axis(min = 0) %>%
e_legend(bottom = 5) %>%
e_tooltip(
trigger = "item",
axisPointer = list(
type = "cross"
)
)
e_arrange(e1, e2, rows = 1, cols = 2)
