Learn R Programming

echarts4r (version 0.2.0)

e_scatter_3d: Scatter 3D

Description

Add 3D scatter.

Usage

e_scatter_3d(e, y, z, color, size, bind, coord_system = "cartesian3D",
  name = NULL, rm_x = TRUE, rm_y = TRUE, legend = FALSE, ...)

e_scatter_3d_(e, y, z, color = NULL, size = NULL, bind = NULL, coord_system = "cartesian3D", name = NULL, rm_x = TRUE, rm_y = TRUE, legend = FALSE, ...)

Arguments

e

An echarts4r object as returned by e_charts.

y, z

Coordinates.

color, size

Color and Size of bubbles.

bind

Binding.

coord_system

Coordinate system to use, one of geo3D, globe, or cartesian3D.

name

name of the serie.

rm_x, rm_y

Whether to remove x and y axis, defaults to TRUE.

legend

Whether to add serie to legend.

...

Any other option to pass, check See Also section.

See Also

Additional arguments

Examples

Run this code
# NOT RUN {
v <- LETTERS[1:10]
matrix <- data.frame(
  x = sample(v, 300, replace = TRUE), 
  y = sample(v, 300, replace = TRUE), 
  z = rnorm(300, 10, 1),
  color = rnorm(300, 10, 1),
  size = rnorm(300, 10, 1),
  stringsAsFactors = FALSE
) %>% 
  dplyr::group_by(x, y) %>% 
  dplyr::summarise(
    z = sum(z),
    color = sum(color),
    size = sum(size)
  ) %>% 
  dplyr::ungroup() 
  
matrix %>% 
  e_charts(x) %>% 
  e_scatter_3d(y, z, size, color) %>% 
  e_visual_map(
    min = 1, max = 100,
    inRange = list(symbolSize = c(1, 30)), # scale size
    dimension = 3 # third dimension 0 = x, y = 1, z = 2, size = 3
  ) %>% 
  e_visual_map(
    min = 1, max = 100,
    inRange = list(color = c('#bf444c', '#d88273', '#f6efa6')), # scale colors
    dimension = 4, # third dimension 0 = x, y = 1, z = 2, size = 3, color = 4
    bottom = 300 # padding to avoid visual maps overlap
  )
  
airports <- read.csv(
  paste0("https://raw.githubusercontent.com/plotly/datasets/",
         "master/2011_february_us_airport_traffic.csv")
)

airports %>% 
  e_charts(long) %>% 
  e_globe(
    globeOuterRadius = 100
  ) %>% 
  e_scatter_3d(lat, cnt, coord_system = "globe", blendMode = 'lighter') %>% 
  e_visual_map(inRange = list(symbolSize = c(1, 10)))

# }

Run the code above in your browser using DataLab