Introduction to D3.js (Data Driven Document)

Introduction to D3.js  (Data Driven Document)

What is D3.js?

It is a javascript scriting language. It completely works on DOM and svg

if the data is entered , the data can be represented in the form of chart , bar graph, candles etc

Basic Fundamentals

The basic fundamentals required are

  • Html
  •  Css
  •  Javascript
  •  DOM
  •  SVG 
  •  D3.js

Environment Setup required for D3.js are

  • Web browser
  • Editor
  • Webserver
  • D3 library

Web browser : There are lot of web browser for example : Chrome ,safari, Mozilla etc

 Editor : A tool where we can write the code Eg: notepad, notepad++, netbeans, eclipse

Webserver : A server which is used for server side programming language . Ex : Apache

D3 library
How to download the D# library

a) Click on the following linl

From the above link you can download the latest library

In your code you can use

    <script type="text/javascript"  src="d3.min.js"></script>

b) D3 library can be used directly from the CDN library . you will need to have internet connection for working this

    <script type="text/javascript" src=""></script>

The following type of graphs can be built programatically using the javascript d3 library

The below is the mentioned list of graph which can be achieved dynamically in program level

Statistics using D3.js graph

  • Uniform distribution
  • Normal distribution
  • Linear regression

Visual Index  using D3.js graph

  • Dendrogram
  • Force-Directed Graph
  • Circle Packing
  • Population Pyramid
  • Stacked Bars
  • Streamgraph
  • Box Plots
  • Bubble Chart
  • Bullet Charts
  • Calendar View
  • Non-contiguous Cartogram
  • Chord Diagram
  • Sunburst
  • Node-Link Tree
  • Treemap
  • Voronoi Diagram
  • Hierarchical Edge Bundling
  • Voronoi Diagram
  • Symbol Map
  • Parallel Coordinates
  • Scatterplot Matrix
  • Zoomable Pack Layout
  • Hierarchical Bars
  • Epicyclical Gears
  • Collision Detection
  • Collapsible Force Layout
  • Force-Directed States
  • Azimuthal Projections
  • Choropleth
  • Collapsible Tree Layout
  • Zoomable Treemap
  • Animated Béziers
  • Zoomable Sunburst
  • Collatz Graph...................

Checkout Julia Program

Where is Julia is used?

 Julia can be used in the following list below
  • Machine Learning
  • Data Science
  • Visualization
  • General Purpose
  • Parallel Computing
  • Scientific Domains

d3.js tutorial ,d3.js graph list , d3.js tutorial, d3 charts name (Data Driven Document) for beginners