GofunTR/echarts4r

🐳 ECharts 4 for R

echarts4r

ECharts 4 for R. Official documentation:

• EN
• ZH

Installation

You can install echarts4r from github with:

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

See coding.net project if you're in China.

website

Features

Chart types

• Bar
• Line
• Area
• Step
• Scatter
• Effect Scatter
• Candlestick
• Funnel
• Sankey
• Graph
• Heatmap
• Parallel
• Pie
• Tree
• Treemap
• River (streamgraph)
• Sunburst
• Boxplot
• Calendar
• Gauge
• Radar
• Polar
• wordcloud
• liquidFill
• Map
• Pictorial
• Statistical
• Line 3D
• Bar 3D
• Scatter 3D
• Map 3D
• Geo 3D
• Globe 3D
• Flow GL
• Graph GL
• Scatter GL

Other

• Proxies (*_p)
• Themes
• Animations

Examples

Some examples

library(echarts4r)

#' ol' mtcars example
mtcars %>%
  e_charts(mpg) %>% 
  e_line(drat)

# with negative
USArrests %>% 
  dplyr::mutate(
    State = row.names(.),
    Rape = -Rape
  ) %>% 
  e_charts(State) %>% 
  e_area(Murder) %>%
  e_bar(Rape, name = "Sick bastard", x.index = 1) %>% # second y axis 
  e_mark_line("Sick bastard", data = list(type = "average")) %>% 
  e_mark_point("Murder", data = list(type = "max"))

# Sankey
sankey <- data.frame(
  source = c("a", "b", "c", "d", "c"),
  target = c("b", "c", "d", "e", "e"),
  value = ceiling(rnorm(5, 10, 1)),
  stringsAsFactors = FALSE
)
 
sankey %>%
  e_charts() %>% 
  e_sankey(source, target, value) %>% 
  e_title("Sankey") %>% 
  e_theme("dark")

# Graph
nodes <- data.frame(
  name = paste0(LETTERS, 1:1000),
  value = rnorm(1000, 10, 2),
  size = rnorm(1000, 10, 2),
  grp = rep(c("grp1", "grp2"), 500),
  stringsAsFactors = FALSE
)
 
edges <- data.frame(
  source = sample(nodes$name, 2000, replace = TRUE),
  target = sample(nodes$name, 2000, replace = TRUE),
  stringsAsFactors = FALSE
)
 
e_charts() %>%
  e_graph_gl() %>% 
  e_graph_nodes(nodes, name, value, size, grp) %>% 
  e_graph_edges(edges, source, target)
  
# globe
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_globe(
    environment = e_stars_texture(),
    base.texture = e_globe_texture()
  ) %>% 
  e_bar_3d(lat, value, coord.system = "globe") %>% 
  e_visual_map()
  
# Flow GL
# coordinates
vectors <- expand.grid(0:9, 0:9)
names(vectors) <- c("x", "y")
vectors$sx <- rnorm(100)
vectors$sy <- rnorm(100)
vectors$color <- log10(runif(100, 1, 10))

vectors %>% 
  e_charts(x) %>% 
  e_flow_gl(y, sx, sy, color) %>% 
  e_visual_map(
    min = 0, max = 1, # log 10
    dimension = 4, # x = 0, y = 1, sx = 3, sy = 4
    show = FALSE, # hide
    inRange = list(
      color = c('#313695', '#4575b4', '#74add1', '#abd9e9', '#e0f3f8',
                '#ffffbf', '#fee090', '#fdae61', '#f46d43', '#d73027', '#a50026')
    )
  ) %>% 
  e_x_axis(
    splitLine = list(show = FALSE)
  ) %>% 
  e_y_axis(
    splitLine = list(show = FALSE)
  )