项目作者: Aarthy21

项目描述 :
Data-Driven Documents
高级语言: JavaScript
项目地址: git://github.com/Aarthy21/D3.js.git
创建时间: 2018-05-08T08:41:47Z
项目社区:https://github.com/Aarthy21/D3.js

开源协议:MIT License

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D3.js

Data-Driven Documents
Data visualization using [D3.js]

Features

  • Compaptible with the D3.js data format.
  • A bar chart is a simple way to visualize such data.
  • There are a number of variations of bar charts including stacked, grouped, horizontal and vertical.
  • A simple vertical bar chart that uses a value on the y axis and date values on the x axis..
  • Custom barchart colors by type.
  • Highlight bars on init.
  • Zoom, pan, auto fit.
  • Compatible with D3.js v4.

Documentation

D3.js data format

chartData = [
{
“name”: “B-C-1”,
“Model”: “Model 1”,
“size”: 80
},
{
“name”: “B-C-1”,
“Model”: “Model 2”,
“size”: 100
},
{
“name”: “B-C-1”,
“Model”: “Model 3”,
“size”: 150
},
{
“name”: “B-C-1”,
“Model”: “Model 4”,
“size”: 180
},
{
“name”: “B-C-1”,
“Model”: “Model 5”,
“size”: 25
},
{
“name”: “B-C-1”,
“Model”: “Model 6”,
“size”: 160
},
{
“name”: “B-C-2”,
“Model”: “Model 1”,
“size”: 450
},
{
“name”: “B-C-2”,
“Model”: “Model 2”,
“size”: 30
},
{
“name”: “B-C-2”,
“Model”: “Model 3”,
“size”: 35
},
{
“name”: “B-C-2”,
“Model”: “Model 4”,
“size”: 130
},
{
“name”: “B-C-2”,
“Model”: “Model 5”,
“size”: 185
},
{
“name”: “B-C-3”,
“Model”: “Model 1”,
“size”: 100
},
{
“name”: “B-C-3”,
“Model”: “Model 2”,
“size”: 20
},
{
“name”: “B-C-3”,
“Model”: “Model 3”,
“size”: 230
},
{
“name”: “B-C-3”,
“Model”: “Model 4”,
“size”: 110
},
{
“name”: “B-C-4”,
“Model”: “Model 1”,
“size”: 120
},
{
“name”: “B-C-4”,
“Model”: “Model 2”,
“size”: 110
}, {
“name”: “B-C-5”,
“Model”: “Model 3”,
“size”: 220
},
{
“name”: “B-C-5”,
“Model”: “Model 1”,
“size”: 270
},
{
“name”: “B-C-5”,
“Model”: “Model 2”,
“size”: 550
}
];
chartOptions = [{
“captions”: [{ “B-C-1”: “B-C-1”, “B-C-2”: “B-C-2”, “B-C-3”: “B-C-3”, “B-C-4”: “B-C-4”, “B-C-5”: “B-C-5” }],
“color”: [{ “B-C-1”: “#FFA500”, “B-C-2”: “#0070C0”, “B-C-3”: “#ff0000”, “B-C-4”: “#70edee”, “B-C-5”: “#f2baf6” }],
“Name”: “name”,
“Model”: “Model”,
“Size”: “size”
}]

barchart.js:
Step 1 — Create the data files

Step 2 — Setting Up the SVG in JavaScript
First things first, we need to decide on the size of the new SVG:

//Width and height

var w = 500;
var h = 100;

Then, D3 to create an empty SVG element and add it to the DOM:

//Create SVG element
var svg = d3.select(“body”)
.append(“svg”)
.attr(“width”, w)
.attr(“height”, h);

Step 3 — Adding Rectangles
Next, instead of creating divs, we generate rects and add them to svg.
svg.selectAll(“rect”)
.data(dataset)
.enter()
.append(“rect”)
.attr(“x”, 0)
.attr(“y”, 0)
.attr(“width”, 20)
.attr(“height”, 100);

Step 4 — Styling with D3
html, body {
margin: 0;
height: 100%
}

.bar {
fill: blue
}

Step 5 — Adding Labels
Adding text is similar to adding the rectangle shapes that we did above. We’ll need to select the text, then append it to the SVG.
svg.selectAll(“text”)
.data(dataArray)
.enter().append(“text”)
.text(function(d) {return d})
.attr(“x”, function(d, i) {return (i 60) + 25})
.attr(“y”, function(d, i) {return 400 - (d
10)});

Conclusion:
This tutorial went through creating a bar chart in the JavaScript D3 library. You can learn more about d3.js by visiting the D3 API on GitHub.