Our look at using the D3 JavaScript library to create interactive charts continues with part 2 of 3, as we add tool-tips to each data point in the chart that become activated when the user hovers her mouse over a point.
In my fourth post about the D3.js library for creating data-driven documents we will explore zooming in on detail within a chart and, indirectly, how one might organize their charting code in a single javascript object.
In my previous two articles about D3, I wrote about what D3 is (and is not) and data binding. This month we’ll begin exploring user interaction with elements on a SVG canvas. We’ll progress over a series of “slides,” each showing an active SVG...
In my previous article, Meet D3: Data Driven Documents, I discussed my experience learning D3, in particular, discovering what D3 is not: it is not, strictly speaking, a SVG library. You will not find a function in the library to draw a circle or rectangle. Instead, you use its powerful selections interface to manipulate the DOM.
For example, assuming the DOM contains this element:
[code language=”html”]
[/code]
If we want to add a green circle with radius 10px at point (100,100), there is no draw-a-circle function in D3. Instead we do this:
[code language=”javascript”]
d3.select(‘#mychart’)
.append(‘circle’)
.attr(‘cx’, 100)
.attr(‘cy’, 100)
.attr(‘r’, 10)
.attr(‘fill’, ‘green’);
[/code]
Introduction There are many tutorials on the web to get one started using D3. Links to some of these works will follow later in this article. While they are all wonderful (and I thank each author for getting me over the steep D3 learning curve), most of these...