HyperTree Java Library Aharef: Websites as graphs Everyday, we look at dozens of websites. The structure of these websites is defined in HTML, the lingua franca for publishing information on the web. Your browser's job is to render the HTML according to the specs (most of the time, at least). HTML consists of so-called tags, like the A tag for links, IMG tag for images and so on. I've used some color to indicate the most used tags in the following way: blue: for links (the A tag)red: for tables (TABLE, TR and TD tags)green: for the DIV tagviolet: for images (the IMG tag)yellow: for forms (FORM, INPUT, TEXTAREA, SELECT and OPTION tags)orange: for linebreaks and blockquotes (BR, P, and BLOCKQUOTE tags)black: the HTML tag, the root nodegray: all other tags Here I post a couple of screenshots, and I plan to make the app available as an applet, so that anybody can look at their websites in a new way. Update: Here it is: cnn.com boingboing.net apple.com As always, simplicity rules at Apple's website.
jGraph Data Visualization: Modern Approaches About The Author Vitaly Friedman loves beautiful content and doesn’t like to give in easily. When he is not writing or speaking at a conference, he’s most probably running … More about Vitaly Friedman … Data presentation can be beautiful, elegant and descriptive. There is a variety of conventional ways to visualize data - tables, histograms, pie charts and bar graphs are being used every day, in every project and on every possible occasion. Data presentation can be beautiful, elegant and descriptive. So what can we expect? Let’s take a look at the most interesting modern approaches to data visualization as well as related articles, resources and tools. 1. Trendmap 2007 Informationarchitects.jp presents the 200 most successful websites on the web, ordered by category, proximity, success, popularity and perspective in a mindmap. 2. Newsmap is an application that visually reflects the constantly changing landscape of the Google News news aggregator. 3. 4. 5. 6. Visualcomplexity.com
JUNG Java Universal Network/Graph Framework All examples require JDK 1.4.x or better; Jung2 demos require JDK 1.5.x or better; ensure you have a recent Java plugin installed. Note: If you have installed a new JRE version over an old one, make sure you update your plug-in settings so that your browser uses the correct JRE. In Windows XP/NT/2k/9x, go to Start→Control Panel→Java Plug-in→Advanced and choose the latest version of the JRE from the drop-down list. Jung-2.0 Demos WorldMapGraphDemo The background image transforms along with the graph. AnimatingAddNodeDemo The old AddNodeDemo, but with animated transitions ShowLayouts2 The old ShowLayouts demo, but with animated transitions Tree Node Collapse Demo Demonstrates how to hide/show children of tree nodes. Vertex Collapse Demo Demonstrates how to collapse vertices into a single vertex Label As Vertex Demo Demonstrates how to use the vertex labels as the vertex shape. Annotations Demo Demonstrates an annotations layer for a graph.
Home Hello, this is the Open Flash Chart project. Get graphs like this for free: How does it work? User browses to your web site.The browser downloads the web page which contains the Open Flash Chart.Open Flash Chart downloads the data file and displays the chart. When you add Open Flash Chart to your web page, you tell it where to find the data file. We also do pie charts. Why is that great? When the user downloads the web page, Open Flash Chart requests the chart data from the server. Add a bit of pizzazz to your bar charts! Is it complicated to set up? You will need to include the Open Flash Chart in your HTML, and you also need to provide the data file on the server. For a simple chart you would just drop the data.txt file on your website and point the Open Flash Chart to this URL. But what we really want is dynamic data that is pulled from a database or calculated or something. To make this a bit easier there are PHP, Perl, Python and Java classes to write the data file for you. Get started! Yes.
Gruff: A Grapher-Based Triple-Store Browser for AllegroGraph The paragraphs below describe select features of the latest versions of Gruff. For a complete listing of the new features, see the Release History New in Version 5.2: SPARQL Endpoint Connections Gruff now allows users to connect and browse SPARQL Endpoints directly, without using an AllegroGraph database. This feature is currently available in Beta and requires a password to enable the functionality. Screenshots The new child menu "Global Options | SPARQL Endpoints" contains options that are specific to SPARQL endpoints, mostly to disable certain capabilities by default that may typically be too slow for an endpoint; in particular, label properties are not displayed by default with endpoints, but they can be. New in Version 5: Spring Layout View The constraint-based algorithm while better for clear viewing of the graph requires more RAM when you want to view a very large graph on screen. New in Version 4: Outline View Store Editing for Creating and Deleting Triples From Wikipedia
How to Visualize Data (Graph Types) Brief Overviews of Types of Graphs Representative Visualization Techniques Categorized Graphs One of the most important, general, and also powerful analytic methods involves dividing ("splitting") the data set into categories in order compare the patterns of data between the resulting subsets. This common technique is known under a variety of terms (such as breaking down, grouping, categorizing, splitting, slicing, drilling-down, or conditioning) and it is used both in exploratory data analyses and hypothesis testing. For example: A positive relation between the age and the risk of a heart attack may be different in males and females (it may be stronger in males). There are many computational techniques that capitalize on grouping and that are designed to quantify the differences that the grouping will reveal (e.g., ANOVA/MANOVA). What are Categorized Graphs? Categorized graphs vs. matrix graphs. Common vs. Categorization Methods Integer Mode. Categories. Boundaries. Codes. Histograms