Website - Data visualization
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Sometimes social networks visualizations look so damn complicated. I at least tend to look at where the graph is busiest, and sort of intuitively conclude that that node is the most important one. There must be a better way, right? Of course there is–why else would I pose such an obviously rhetorical question?
Flare is an ActionScript library for visualizing data like creating charts, graphs and complex interactive graphics . The library supports data management, visual encoding, animation, and interaction techniques. It provides a modular design which enables you to create customized techniques easier.
Flash Data Visualization Library: Flare
16 Javascript Libraries for Visualizations on Datavisualization.ch
Processing.js is an open programming language for people who want to program images, animation, and interactions for the web without using Flash or Java applets. Processing.js uses Javascript to draw shapes and manipulate images on the HTML5 Canvas element. The code is light-weight, simple to learn and makes an ideal tool for visualizing data, creating user-interfaces and developing web-based games.
75+ Tools for Visualizing your Data, CSS, Flash, jQuery, PHP - tripwire magazine
Most people would agree that the old adage “A picture is worth a thousand words” is also true for web based solutions. There should be no discussion – Charts and Graphs are ideal to visualize data in order to quickly deliver an overview and communicate key messages. Whatever type of data presentation you prefer or suits you data (pie charts, bubble charts, bar graphs, network diagrams etc.), there are many different options but how do you get started and what is technologically possible?In the world of web scraping, text mining and article reading utilities (readability bookmarklet) there is an ever growing demand for utilities that are capable of distinguishing parts of a HTML document which represent an article apart from other common website building blocks like menus, headers, footers, ads etc. Turns out this problem was baffling researchers since the early 00s. Keep in mind, that back then, folks were still making websites with microsoft frontpage. The majority of methods presented in research papers from that epoch are nowadays useless due to strong assumptions and heuristics that don’t apply on today’s web development practices. In the following chapters I’ll try to review some article text extraction methods that are applicable to today’s websites.
Extracting article text from HTML documents
jStat dependencies: The majority of jStat functions can be used independently of any other libraries. However, the plotting functionality of jStat is based on the jQuery plugin - flot . Therefore, to generate plots using jStat the following dependencies are required: jStat should work in all major browsers.
jStat : a JavaScript statistical library
Gube says the JavaScript libraries "turn boring numerical data into beautiful, interactive and informative visualizations." I can agree with that. Highcharts offers seven charting types such as line, pie, and bar. You can zoom in and out of charts.
A Sample of 20 JavaScript Libraries for Data Visualization - ReadWriteCloud
Prefuse is a set of software tools for creating rich interactive data visualizations. The original prefuse toolkit provides a visualization framework for the Java programming language. The prefuse flare toolkit provides visualization and animation tools for ActionScript and the Adobe Flash Player. NOTE: Prefuse development has been opened up to the community and the source has moved from SourceForge to a new home on GitHub . Both Prefuse and Flare are now available on GitHub.
prefuse | interactive information visualization toolkit
Axiis : Data Visualization Framework
Whether you are building elegant charts for executive briefings or exploring the boundaries of advanced data visualization research, Axiis has something for you. Axiis provides both pre-built visualization components as well as abstract layout patterns and rendering classes that allow you to create your own unique visualizations.
Since most interactions only involve a single dimension, and then only small adjustments are made to the filter values, incremental filtering and reducing is significantly faster than starting from scratch. Crossfilter uses sorted indexes (and a few bit-twiddling hacks) to make this possible, dramatically increasing the performance of live histograms and top-K lists.