2D Stacked Bar Chart
Stacked 2D bar chart to visualize yearly US employment data. This example also includes a legend.
js
// SPDX-License-Identifier: Apache-2.0
// Copyright : J.P. Morgan Chase & Co.
import * as anu from '@jpmorganchase/anu';
import * as BABYLON from '@babylonjs/core';
import * as d3 from 'd3';
import data from './data/us-employment.csv';
//Create and export a function that takes a Babylon engine and returns a Babylon Scene
export function barchart2DStacked(engine){
//Create an empty Scene
const scene = new BABYLON.Scene(engine);
//Add some lighting
new BABYLON.HemisphericLight('light1', new BABYLON.Vector3(0, 10, -5), scene);
//Add a camera that rotates around the origin and adjust its properties
const camera = new BABYLON.ArcRotateCamera('Camera', 0, 0, 0, new BABYLON.Vector3(0, 0, 0), scene);
camera.position = new BABYLON.Vector3(0, 0, -3);
camera.wheelPrecision = 20;
camera.minZ = 0;
camera.attachControl(true);
//Get the names of all the employment categories
let categories = Object.keys(data[0]).splice(1, data.length);
//Create D3 functions to help parse time
let parseTime = d3.timeParse('%Y-%m-%d');
//Aggregate our data by year
let yearsRollup = d3.rollup(
data,
v => {
let result = {};
categories.forEach((key) => {
result[key] = d3.sum(v, d => d[key] || 0)
})
return result;
},
d => parseTime(d.month).getFullYear()
);
let aggregated = Array.from(yearsRollup, ([year, values]) => ({
year: +year,
...values
}));
//Create a D3 stack generator
let stack = d3.stack()
.keys(categories)
.order(d3.stackOrderNone)
.offset(d3.stackOffsetNone);
//Stack the data into individual series for each employment category
let series = stack(aggregated);
//Add the key for each series as a property to each data point within said series, so we can easily color them later
series.forEach(series => {
series.forEach(point => {
point.key = series.key;
});
});
//Create the D3 functions that we will use to scale our data dimensions to desired output ranges for our visualization
let scaleX = d3.scaleBand().domain(Array.from(d3.group(data, (d) => parseTime(d.month).getFullYear()).keys())).range([-1, 1]).paddingInner(1).paddingOuter(0.5);
let scaleY = d3.scaleLinear().domain([0, d3.max(series[series.length - 1].map(d => d[1]))]).range([0, 2]).nice(); //Take the largest value from the top-most stack
let scaleC = d3.scaleOrdinal(anu.ordinalChromatic('d310').toStandardMaterial(categories.length)).domain(categories);
//Create a Center of Transform TransformNode that serves the parent node for all our meshes that make up our chart
let CoT = anu.create('cot', 'cot');
//Select our CoT so that we have it as a Selection object
let chart = anu.selectName('cot', scene);
//Create empty CoTs for each series in our dataset
let groups = chart.bind('cot', { }, series);
//Create plane meshes for each series CoT we just created, inheriting the bound data to create a plane for each element in each series
let bars = groups.bind('plane', { height: 1, width: 0.15, sideOrientation: 2 }, (d) => d)
.positionX((d) => scaleX(d.data.year))
.positionY((d) => scaleY((d[1] + d[0]) / 2))
.scalingY((d) => scaleY(d[1] - d[0]))
.positionZ(-0.002) //Adjust the z position slightly to prevent Z-fighting
.material((d, n, i) => scaleC(d.key))
//Use the Axes prefab with our two D3 scales with additional customizations
anu.createAxes('myAxes', {
scale: { x: scaleX, y: scaleY },
parent: CoT,
background: false
});
//Create a CoT as a child of our chart that will hold our legend
let legend = chart.bind('cot', {}, [undefined]);
//Bind planes that will serve as keys in our legend
let keys = legend.bind('plane', { size: 0.08 }, categories)
.position((d,n,i) => new BABYLON.Vector3(0, i * 0.09, 0))
.material((d) => scaleC(d))
//Bind labels for the legend
let labels = legend.bind('planeText', { size: 0.08, text: (d) => d, align: 'left' }, categories)
.position((d,n,i) => new BABYLON.Vector3(0.09, i * 0.09, 0));
//Adjust the legend position
legend.positionX(1.25);
//Shift the entire chart to center it in the default camera view
chart.positionX(-0.25)
.positionY(-1);
return scene;
}