highcharter (version 0.8.2)

hctreemap2: Shortcut to create treemaps.

Description

This function helps create highcharts treemaps from data frames.

Usage

hctreemap2(data, group_vars, size_var, color_var = NULL, ...)

Arguments

data

data frame containing variables to organize each level of the treemap on

group_vars

vector of strings containing column names of variables to generate treemap levels from. the first listed column will specify the top level of the treemap. the unique values in each of these columns must have no intersection (including NAs).

size_var

string name of column containing numeric data to aggregate by

color_var

string name of column containing numeric data to color by. defaults to same column as size_var

...

additional shared arguments for the data series (http://api.highcharts.com/highcharts#series).

Value

highchart plot object

Examples

# NOT RUN {
# }
# NOT RUN {
library(tidyverse)
library(highcharter)
library(RColorBrewer)

tibble(
  index1 = sample(LETTERS[1:5], 500, replace = T),
  index2 = sample(LETTERS[6:10], 500, replace = T),
  index3 = sample(LETTERS[11:15], 500, replace = T),
  value = rpois(500, 5),
  color_value = rpois(500, 5)
) %>%
  hctreemap2(
    group_vars = c("index1", "index2", "index3"),
    size_var = "value",
    color_var = "color_value",
    layoutAlgorithm = "squarified",
    levelIsConstant = FALSE,
    levels = list(
      list(level = 1, dataLabels = list(enabled = TRUE)),
      list(level = 2, dataLabels = list(enabled = FALSE)),
      list(level = 3, dataLabels = list(enabled = FALSE))
    )
  ) %>%
  hc_colorAxis(
    minColor = brewer.pal(7, "Greens")[1],
    maxColor = brewer.pal(7, "Greens")[7]
  ) %>%
  hc_tooltip(pointFormat = "<b>{point.name}</b>:<br>
             Value: {point.value:,.0f}<br>
             Color Value: {point.colorValue:,.0f}")
# }
# NOT RUN {
# }