":", "Value": 3}, {"Source":, "target": 17 , "Value": 3}, {"source": "Target": 3}, {"source": "Target":, "Value": 3}, {"source": "Target": 2 0, "Value": 5}]}
The data consists of two parts, dots (nodes) and edges (links), and the values of source and target represent the elements corresponding to the numeric subscript of the nodes array.
Note that, regardless of the number of attributes of the nodes element, source and target temporarily point to a person's name, such as Source 1 target0 repr
D3 New Topic Homepage
In a blink of an eye, this introductory series has accumulated more than 22 articles, I think as d3.js this data visualization tool is enough to get Started. I believe just to read this Series. It is possible to complete most of the visualization work in the future with the aid of Queries.D3.js's Earliest v1.0 version was announced by
value3. Use of Update and ExitWhen the corresponding element is too large (the number of bound data Now there are three P elements in the body, to bind an array of length less than 3 to the selection set of p, and then handle both the update and exit respectively.varDataSet = [3 ]; //Select the P element in bodyvarp = D3.Select("Body"). SelectAll ("P"); //Get the Update sectionvarUpdate =p.data (dataset);//Get exit SectionvarExit =update.exit ();//ha
a car company now, and the monthly car sales are represented by a column chart, assuming 100 sales this month, with 100-pixel-length columns. Next month 500 sales, in 500 pixels, and next month there are 3000 units? It is impossible to use 3,000 pixels and the browser length is not enough. The scale is used at this time.In scale, given a domain (defined field), a range is given, and the conversion between the values is possible.The most commonly used
d.target.x;}); Edges_line.attr ("Y2", function (d) {return d.target.y;}); Update the position of text on the connector edges_text.attr ("X", function (d) {return (d.source.x + d.target.x)/2;}); Edges_text.attr ("Y", function (d) {return (d.source.y + d.target.y)/2;}); Whether to draw the text on the connector Edges_text.style ("Fill-opacity", function (d) {return D.source.show | | d.target.show 1:0.0;}); Update the node image and text nodes_img.attr ("X", function (d) {return D.X-IMG_W/2;});
= 20;var Nodes_text = Svg.selectall (". Nodetext"). Data (Root.nodes). Enter ( ). Append ("text"). attr ("Class", "Nodetext"). attr ("DX", TEXT_DX). attr ("dy", Text_dy). Text (function (d) {return d.name;});第1-16 Line: Drawing a picture第10-15: Displays the text on the connector you want to associate with this node when you move the mouse over the picture. This is just a Boolean assignment for D.show, which is used later in the update.第21-30: Draw text below the picture4.5 UpdateTo keep the mec
", estimated to have 5 videos around, the length is moderate, explain D3 the most basic knowledge, so that beginners quickly get started. (⊙o⊙)A total of 12 articles in the Advanced series are listed below.
1.0
Line wrapping of text
1.1
Wrap Text Wrapping
2.0
Bundle diagram
3.0
Stack diagram
4.0
Matrix Tree Chart
Let's take a look at the effect chart.
Directly below the source code, HTML file
Linechart.js is responsible for loading and refreshing the line chart
function Loadlinechart (ElementID, DataSet) {var svg = D3.select ("#" + ElementID);
var STRs = svg.attr ("Viewbox"). Split ("");
alert (dataset);
var width = strs[2];
var height = strs[3
By using d3 and js to visualize data, data can be separated from code to facilitate data modification in the future.
This time, a five-dimensional Radar chart is drawn using d3.js, which compares the five attributes of multiple objects on one map.
Data is written into data
new data from the data file (DATA-ALT.TSV). Then, copying the previous method to draw the chart, the difference is that there is a new method-transition () added here.Transiton (int): transitions the chart from one state to another. Parentheses can be an integer, indicating the length of time the animation is executed, or it can be a ease (type[, arguments ...]) method to represent a rich movement.The curr
It is not difficult for d3.js to draw a vector chart. it is difficult to drag and drop it. In fact, jquery and easyui both provide the draggable drag and drop method, you only need to re-draw the line when dragging the drop event of a div. It is not difficult for d3.js to dr
Preface
Use js to display charts in the browser. See Series 1.Comparison of technologies for drawing SVG, VML, and HTML5 canvas on the Web end
The number of JS libraries for Web charts is large:
Name
Brief Introduce
Browser support
Site URL
Comments
$ FX ()
1. lightweight2. Compress code3. js + CSS
MIT an
as: Venn diagram, heat map, evolutionary tree, two-dimensional scatter plot, two-dimensional scatter bubble, three-dimensional scatter plots, etc. Believe you should be able to find what you need in this list.1. Flotr2FLOTR2 is an independent framework library that supports HTML5 charts and graphs. It is a branched version of FLOTR, removing Prototype dependencies, and there are many improvements. Support: Line chart, bar
as: Venn diagram, heat map, evolutionary tree, two-dimensional scatter plot, two-dimensional scatter bubble, three-dimensional scatter plots, etc. Believe you should be able to find what you need in this list.1. Flotr2FLOTR2 is an independent framework library that supports HTML5 charts and graphs. It is a branched version of FLOTR, removing Prototype dependencies, and there are many improvements. Support: Line chart, bar
1. Flotr2FLOTR2 is an independent framework library that supports HTML5 charts and graphs. It is a branched version of FLOTR, removing Prototype dependencies, and there are many improvements. Support: Line chart, bar chart, wax chart, pie chart, bubble chart. Old browsers su
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