vt_d3 {voronoiTreemap}

Voronoi Treemap in an htmlwidget

Description

Function to generate an htmlwidget with a voronoi treemap

Usage

vt_d3(data, elementId = NULL, width = NULL, height = NULL,
  seed = NULL, title = NULL, legend = FALSE, legend_title = NULL,
  footer = NULL, label = TRUE, color_circle = "#aaaaaa",
  color_border = "#ffffff", color_label = "#000000",
  size_border = "1px", size_border_hover = "3px",
  size_circle = "2px")

Arguments

data

a correct json data object

elementId

optional a custom elementId to be returned

width

width of the widget

height

height of the widget

seed

if defined, the plot is fixed

title

NULL or a string for the title

legend

TRUE/FALSE if a legend should be printed

legend_title

NULL or a string for the title of the legend

footer

NULL or a string for the footer text

label

TRUE/FALSE if the labels should be printed

color_circle

color for the outer circle

color_border

color for the inner lines

color_label

color for the label in the plot

size_border

thickness of the borders in css style, e.g. '1px'

size_border_hover

thickness of the borders when hovering in css style, e.g. '3px'

size_circle

thickness of the circle in css style, e.g. '2px'

Note

The JavaScript library d3-voronoi treemap can be found here https://github.com/Kcnarf/d3-voronoi-treemap and the example is based on the remake of HowMuch.net's article 'The Global Economy by GDP' by _Kcnarf https://bl.ocks.org/Kcnarf/fa95aa7b076f537c00aed614c29bb568.

References

Arlind Nocaj and Ulrik Brandes. (2012). Computing Voronoi Treempas: Faster, Simpler and Resolution-independent. Computer Graphics Forum. Vol.31. 855-864.

Examples

vt_d3(vt_export_json(vt_testdata()))
data(ExampleGDP)
gdp_json <- vt_export_json(vt_input_from_df(ExampleGDP))
vt_d3(gdp_json)
data(canada)
canada$codes <- canada$h3
canada <- canada[canada$h1=="Canada",]
canadaH <- vt_input_from_df(canada,scaleToPerc = FALSE)
vt_d3(vt_export_json(canadaH))
#without label
vt_d3(vt_export_json(canadaH), label=FALSE)
#Example with coloring from scales package
library(scales)
canada$color <- seq_gradient_pal()(exp(canada$weight)/500)
canadaH <- vt_input_from_df(canada,scaleToPerc = FALSE)
vt_d3(vt_export_json(canadaH))