dex.js is a data visualization framework built for the modern web. dex.js provides a common reusable framework for achieving effective interactive data visualizations using a simple and consistent interface.

dex.js unifies a number of charts from other frameworks and offers a few unique variants of it’s own and allows them to safely interoperate within a single web page.

dex.js is a foundation project for Dex. Dex is a ETL and Data Visualization application which allows users to produce sophisticated analytics and visualizations without the need for programming.


Data Visualization Examples

Design Goals

Easy to use

Charts should be easy to use. This is best achieved through simplicity and consistency.

Consistent Usage

Creating a parallel coordinates chart can be done via:

var pcChart = dex.charts.d3.ParallelCoordinates({
  "parent": "#PCParent",
  "csv"   : csvData });

Where the parent points to a div container named PCParent and the chart data is contained in csvData.

A chord diagram might be defined like:

var chordChart = dex.charts.d3.Chord({
  "parent": "#ChordParent",
  "csv"   : csvData });

Though they are very different chart types, the basic usage is identical.

Once you master creating one chart type, you pretty much know how to create them all.

Consistent Data Representation

Data input is also consistent. It’s always a csv object.

Here are some sample contructors.

Construction from JSON

var csv = new dex.csv({
  "header" : [ "Name", "Age", "Gender" ],
  "data"   : [
    [ "Bob", 53, "Male" ],
    [ "Alice", 22, "Female" ]

Construction from header and data

var csv = new dex.csv([ "Name", "Age", "Gender" ],
  [[ "Bob", 53, "Male" ], [ "Alice", 22, "Female" ]]);

Construction from another csv

var newCsv = new dex.csv(oldCsv);


Charts are interactive and can talk to one another because seldom does a single view tell you everything you wish to know about a dataset.

The charts employ a publish/subscribe model where one chart subscribes to the events published by another.

Here’s how we tell the chord chart that when a user selects data in the parallel coordinates chart, update the chord diagram with that data.

chordChart.subscribe(pcChart, "select", function (msg) {
    chord.attr('csv', msg.selected).update();


dex.js exposes the underlying configuration of charts in a number of ways:

  1. Through named configuration parameters.
  2. Though a dynamic programmable styling. All elements under the parent container are exposed for configuration and styling.
  3. Through traditional CSS styling.

Designed to be Embedded

One unique feature of dex.js charts is that they are designed to be embedded into other tools; making it an ideal framework for data visualization for my Java based data visualization tool Dex. This is the main reason dex.js was created.

GUI Specification

Each chart is capable of communicating it’s configuration interface as a JSON object via:


This definition communicates the aspects of the chart which are available for configuration. Information around how this GUI definition can be used to drive GUIs in other language can be found the blog article “Data Driven UI”

Chart Configuration

The attr function is available for manipulating these settings:

chart.attr("height", 400); // Set chart height to 400 pixels
var height = chart.attr("height"); // Get current chart height
var config = chart.attr(); // Get chart configuration

Chart Persistence

A chart may save it’s configuration to a DOM element within the page:;

Behind the scenes, a div element named “dexjs-config” is created with hidden visibility. The configuration is dumped into this structure.

A chart may load it’s configuration from the page via:


This routine will load the contents of “dexjs-config” into the chart’s configuration.