Rickshaw: A JavaScript toolkit for creating interactive time-series graphs. Graphing Toolkit Rickshaw provides the elements you need to create interactive graphs: renderers, legends, hovers, range selectors, etc. You put the pieces together. See Demo → Built on d3.js It's all based on d3 underneath, so graphs are drawn with standard SVG and styled with CSS. Open Source Rickshaw is free and open source, available under the MIT license. Getting Started Here's a minimal but complete working example. Area Graphs Lines Bars Scatterplot Interactive Legend Add a basic legend: Add functionality to toggle series' visibility on and off: Highlight each series on hover within the legend: Add drag-and-drop functionality to re-order the stack (requires jQueryUI): Interactive Hover Details Show the series value and formatted date and time on hover: Specify formatting callbacks to customize output: See the custom formatter and subclass examples for more.
Annotations Add toggleable annotations: annotator.add(timestamp, message);annotator.update(); Range Slider Graphs & Data via AJAX / JSONP Tutorial. Code.shutterstock.com/rickshaw/examples/ Getting Started Bare minimum to get a graph on the page with a couple of points. Lines & Toggling Basic lines with a legend and x-axis ticks and labels. Toggle lines on and off by clicking checkmarks. Interactive Real-Time Data Dig into continuously updating data. Change line interpolations, zoom in on the x-axis, apply smoothing, stack and un-stack, drag and drop to re-order the stack, toggle data on and off. Color Schemes A number of color schemes are built in. Data via AJAX / JSONP Ask Rickshaw to fetch data via AJAX, rather than specifying in the constructor. Scaled Series Two series normalized with different scales, with two different scaled Y-axis. D3.js is Not a Graphing Library, Let's Design a Line Graph.
Working with graphing libraries can be tedious. Designing them can be downright frustrating. Each one of them slightly different, but most of them share two common flaws: a design-by-configuration and template design approach. A bar graph can be just a few bars with labels and tick marks...until it isn't. Want to change the background color? New option. Want to change a bar color? As long as you stay within the confines of the template, it's simple, but, anytime you want customize a specific aspect of the original template, more configuration options are added to the library.
I'm going to use jqplot, a pretty popular graphing library, in the following examples. . {.note} Before we begin: This is not a LOC comparison. Var plot1 = $.jqplot ('chart1', [[3,7,9,1,4,6,8,2,5]]); This looks simple enough. What happens when we need to tweak a few things? D3: Layers, Shapes, Text and Scales What about D3? See example in action → Lines 7 and 8 are where the magic happens. CSS: It Just Works That's it!
d3.js Tree: most simple sample | The JavaDude Weblog. <title>Simple Tree Demo</title> .link { fill: none; stroke: #ccc; stroke-width: 4.5px; var treeData = {"name" : "A", "info" : "tst", "children" : [ {"name" : "A3", "children": [ {"name" : "A31", "children" :[ var vis = d3.select("#viz").append("svg:svg") .attr("width", 400) .attr("height", 300) .append("svg:g") .attr("transform", "translate(40, 0)"); var tree = d3.layout.tree() .size([300,150]); var diagonal = d3.svg.diagonal() .projection(function(d) { return [d.y, d.x]; }); var nodes = tree.nodes(treeData); var links = tree.links(nodes); console.log(treeData) console.log(nodes) console.log(links) var link = vis.selectAll("pathlink") .data(links) .enter().append("svg:path") .attr("class", "link") .attr("d", diagonal) var node = vis.selectAll("g.node") .data(nodes) .enter().append("svg:g") .attr("transform", function(d) { return "translate(" + d.y + "," + d.x + ")"; }) node.append("svg:circle") .attr("r", 3.5); node.append("svg:text") .attr("dy", 3) .text(function(d) { return d.name; })
d3.js - Excel Liberation. More d3.js fun - how to create d3.js force diagrams from Excel with no coding | Excel Liberation. Building a tree diagram in D3.js - Pixel-in-Gene. In the past few weeks, I have spent some time evaluating some visualization frameworks in Javascript. The most prominents ones include: Javascript InfoVis Tookit, D3 and Protovis. Each of them is feature rich and provides a varieties of configurable layouts. In particular I was impressed with D3 as it gives a nice balance of features and flexibility and allowed me to build just the visualizations I wanted. In this post, I want to take a quick dive into using D3 for building a tree diagram. A brief course on D3 One of the most striking features of the D3 framework is the use of selections, which allows you to add, update and remove elements in one single chained call. Every render element has an __data__ property that contains the bound data.
This selects all SVG Path elements with a class name of “link” from the parent element: layoutRoot. Other powerful features of D3 include: Building the Tree For this blog post, I am going to use sample tree data that looks like so: Rendering the tree. D3.js: click on TEXT node in SVG graph to edit its contents. D3.js Playground. About The D3.js Playground is designed to allow you (and especially me) to play with the D3.js library in an interactive manner.
Every edit made (that results in valid code) affects the playground in realtime. Because CSS is such an important part of visualizations, you can edit CSS live, too. Playing Around To get to the tool, go to (or just click on the image above). If you want to explore a few examples I’ve put online, change the “Preset” menu in the upper right corner. Try clicking the ‘swizzle’ button to slightly change the values of the data and watch how the visualization reacts. Getting Down to Business There are only a few things (hopefully) that might not be self-evident about using the tool: Using $data The $data box accepts full JS code, not just JSON. Every change you make to the data (including hitting the space bar) will re-run the code, but will not clear the #playground first. Editing the d3.js code.