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

In d3r: 'd3.js' Utilities for R

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)

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

Value

nested data.frame

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()
## Not run: 
  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"))

## End(Not run)

d3r documentation built on Oct. 2, 2023, 5:08 p.m.