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Merge branch 'release/v1.2.3'
2 parents d8a00c6 + 9bb62ee commit 74cbf00

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dist/muze.js

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dist/muze.js.map

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examples/js/crosstab.js

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/* eslint-disable */
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(function () {
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let env = muze();
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let DataTable = muze.DataModel,
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share = muze.Operators.share,
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html = muze.Operators.html;
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d3.csv('../../../data/coffee.csv', (data) => {
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const jsonData = data,
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schema = [{
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name: 'Market',
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type: 'dimension'
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},
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{
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name: 'Product',
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type: 'dimension'
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},
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{
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name: 'Product Type',
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type: 'dimension'
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},
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{
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name: 'Revenue',
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type: 'measure'
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},
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{
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name: 'Expense',
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type: 'measure'
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},
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{
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name: 'Profit',
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type: 'measure',
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},
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{
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name: 'Order Count',
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type: 'measure'
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},
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];
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let rootData = new DataTable(jsonData, schema);
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rootData = rootData.groupBy(['Market', 'Product Type', 'Product'], {
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});
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env = env.data(rootData).minUnitHeight(40).minUnitWidth(40);
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let mountPoint = document.getElementById('chart');
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window.canvas = env.canvas();
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let canvas2 = env.canvas();
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let canvas3 = env.canvas();
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let rows = [[ 'Market', 'Product Type', 'Product']],
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columns = [['Revenue', 'Expense', 'Profit', 'Order Count'], []];
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canvas = canvas
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.rows(rows)
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.columns(columns)
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.data(rootData)
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// .detail(['Market', 'Product Type', 'Product'])
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.minUnitHeight(10)
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.width(500)
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.height(2000)
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.config({
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border:{
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width: 2,
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// showRowBorders: false,
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// showColBorders:false,
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// showValueBorders: {
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// top: false,
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// bottom: true,
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// left: true,
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// right: false
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// }
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},
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axes:{
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x:{
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showAxisName: true,
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tickFormat : (d)=>{
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if(d<1000) return d;
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if(d>1000 && d<1000000) return `${d/1000}K`
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if(d>1000000) return `${d/1000}M`
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return d
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}
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}, y:{
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// showAxisName: true,
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// name: 'Acceleration per year',
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axisNamePadding: 12
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}
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}
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})
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canvas.legend({
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align:'horizontal',
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title: [''],
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item:{
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text:{
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position:'right'
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}
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},
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steps: 6
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})
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.title('The Muze Project', { position: "top", align: "left", })
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.subtitle('Composable visualisations with a data first approach', { position: "top", align: "left" })
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.mount(document.getElementsByTagName('body')[0]);
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})
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})()
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d3.csv('/data/coffee.csv', function (data) {
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// load data and schema from url
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var schema = [{
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"name": "Market",
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"type": "dimension"
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}, {
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"name": "Product",
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"type": "dimension"
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}, {
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"name": "Product Type",
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"type": "dimension"
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}, {
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"name": "Revenue",
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"type": "measure"
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}, {
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"name": "Expense",
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"type": "measure"
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}, {
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"name": "Profit",
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"type": "measure"
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}, {
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"name": "Order Count",
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"type": "measure"
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}];
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var env = window.muze();
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var DataModel = window.muze.DataModel;
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var rootData = new DataModel(data, schema);
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// console.log('-----------------> 1 ', rootData.getData());
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/* data and schema is global */
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var canvas = env.canvas();
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canvas.rows(['Market', 'Product Type']).columns([['Revenue', 'Expense'], ['Revenue', 'Expense']]).data(rootData).width(650).height(800).config({
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showHeaders: true, /* show the headers of fields used in faceting */
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facetConfig: { rows: { verticalAlign: 'middle' } }, /* dimensional values are placed in middle */
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axes: {
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y: { showAxisName: false }, /* dont show axis name as we are showing headers, its redundant information */
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x: {
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tickFormat: function tickFormat(d) {
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if (d < 1000) return d;
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if (d > 1000 && d < 1000000) return d / 1000 + "K";
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if (d > 1000000) return d / 1000 + "M";
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return d;
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}
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}
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}
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})
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.title('Visual Crosstab')
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.mount('#chart')
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});

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