d3r (version 1.1.0)

d3_nest: Convert a data.frame to a 'd3.js' Hierarchy

Description

Convert a data.frame to a 'd3.js' Hierarchy

Usage

d3_nest(data = NULL, value_cols = character(), root = "root", json = TRUE)

Value

nested data.frame

Arguments

data

data.frame or data.frame derivative, such as tibble

value_cols

character vector with the names of the columns to use as data

root

character name of the root level of the hierarchy

json

logical to return as JSON

Examples

# convert Titanic to a nested d3 hierarchy

# devtools::install_github("timelyportfolio/d3r")
library(d3r)
library(dplyr)

titanic_df <- data.frame(Titanic)
tit_tb <- titanic_df %>%
  select(Class,Age,Survived,Sex,Freq) %>%
  d3_nest(value_cols="Freq", root="titanic")

tit_tb

# see as tibble
titanic_df %>%
  select(Class,Age,Survived,Sex,Freq) %>%
  d3_nest(value_cols="Freq", root="titanic", json=FALSE)

# see the structure with listviewer
tit_tb %>%
  listviewer::jsonedit()
if (FALSE) {
  library(treemap)
  library(d3r)
  library(dplyr)
  library(tidyr)

  treemap::random.hierarchical.data() %>%
    d3_nest(value_cols = "x")

  # use example from ?treemap
  data(GNI2014)
  treemap(
    GNI2014,
    index=c("continent", "iso3"),
    vSize="population",
    vColor="GNI",
    type="value",
    draw=FALSE
  ) %>%
    {.$tm} %>%
    select(continent,iso3,color,vSize) %>%
    d3_nest(value_cols = c("color", "vSize"))
}