background preloader

Parallel Sets

Parallel Sets (ParSets) is a visualization application for categorical data, like census and survey data, inventory, and many other kinds of data that can be summed up in a cross-tabulation. ParSets provide a simple, interactive way to explore and analyze such data. Even though the screenshots here show the Mac version, the program also runs on Windows and Linux. Basic Operation To open an existing dataset, select it in the list and either double-click it or click the Open button. The horizontal bars in the visualization show the absolute frequency of how often each category occurred: in this example, the top line shows the distribution between the passenger classes on the Titanic and the crew. The middle dimension shows a male to female ratio of almost 4 to 1. Between the dimension bars are ribbons that connect categories and split up. Interaction Move your mouse over the display to see the tooltip telling you more about the data. Downloading Online Data Sets Importing Your Own Data

Google Chart Tools API Google Charts provides a perfect way to visualize data on your website. From simple line charts to complex hierarchical tree maps, the chart gallery provides a large number of ready-to-use chart types. The most common way to use Google Charts is with simple JavaScript that you embed in your web page. You load some Google Chart libraries, list the data to be charted, select options to customize your chart, and finally create a chart object with an id that you choose. That's all you need to get started. Charts are exposed as JavaScript classes, and Google Charts provides many chart types for you to use. All chart types are populated with data using the DataTable class, making it easy to switch between chart types as you experiment to find the ideal appearance. Ready to create your first chart? Our tools are constantly evolving to better address your needs; we depend on your feedback to help us prioritize which features to include.

Fineo UPDATE: the project is no longer supported, since it’s part of RawGraphs. Check it out here: rawgraphs.io. Fineo is a web application which implements a visualization technique based on the visual model of Sankey diagrams. Fineo was born from the idea that Sankey diagrams, although developed as a technique for visualizing continuous data, may be used to represent relations between dimensions of categorical data. Introduction Categorical data representation is crucial for interpreting many real world phenomena. Moreover, to be able to make sense a multidimensional dataset, an interactive approach is strongly needed so that the user will be able to filter and relate only the information he is interested into. Sankey Diagrams Sankey diagrams are flow diagrams that represent flows of continuous data such as money, energy or material in a system. We have chosen to conceptually base Fineo on sankey diagrams for three main reasons: Fineo and ParSets Fineo, instead, is much more network-like.

FlowingData | Data Visualization and Statistics FusionCharts v3 - Animated Flash Charts & Maps for web applications StatPlanet StatPlanet (formerly StatPlanet Map Maker) is a free, award-winning application for creating fully customizable interactive maps. StatPlanet can be used to visualize location-based statistical data, such as life expectancy by country or demographic statistics and voting patterns by US state. In addition to maps, StatPlanet also has the option of including interactive graphs and charts to create feature-rich interactive infographics. If you wish to use StatPlanet for commercial purposes, please contact us. Restrictions: StatPlanet comes with only two maps: a world map (country level) and a US map (state level). Create an interactive map in 5 steps Open StatPlanet.exe to view the results offline, or open StatPlanet.html to view the results in a web-browser. For further details, see the StatPlanet User Guide (PDF) Create an interactive map in 5 minutes instructional video Enable macros in Excel If you do not receive this message, the macro security level in Excel is set to high.

NodeXL: Network Overview, Discovery and Exploration for Excel - Home Depth and Discovery: Powering Visualizations with the Google Analytics API: Juice Analytics Referrer Flow Curious about what sites are linking to you and what content is benefitting the most? Referrer Flow answers those question and shows how results change over time. Here is a brief video introduction: Referrer Flow is a stream of daily treemaps showing pageviews and bounce rates for various groupings of your website’s pages. Keyword Tree A list of top keywords isn’t enough to really understand how people are searching and finding your site. You’ll see a frequently used search term at the center and the words and phrases that are most often used in combination with that word. Depth and Discovery In designing these visualizations we focused on the question: how can we let users uncover the unexpected? The Google Analytics reporting tool is a great general-purpose reporting solution. The Google Analytics API is Google’s solution to this problem. Thanks to Nick Mihailovski at Google for his gracious support, help and encouragement and Avinash Kaushik for inspiring this idea.

Protovis Protovis composes custom views of data with simple marks such as bars and dots. Unlike low-level graphics libraries that quickly become tedious for visualization, Protovis defines marks through dynamic properties that encode data, allowing inheritance, scales and layouts to simplify construction. Protovis is free and open-source, provided under the BSD License. Protovis is no longer under active development.The final release of Protovis was v3.3.1 (4.7 MB). This project was led by Mike Bostock and Jeff Heer of the Stanford Visualization Group, with significant help from Vadim Ogievetsky. Updates June 28, 2011 - Protovis is no longer under active development. September 17, 2010 - Release 3.3 is available on GitHub. May 28, 2010 - ZOMG! October 1, 2009 - Release 3.1 is available, including minor bug fixes. September 19, 2009 - Release 3.0 is available, including major performance improvments, bug fixes, and handy utilities such as scales and layouts. Getting Started How does Protovis work?

Infomous Infomous is a revolutionary way to explore online content visually. Add Infomous on your site to engage readers, increase circulation and generate revenues. Create an Infomous cloud with your content and embed it on your site. See How to Embed Infomous The real-time collaborative application platform Fast online code editing Cloud9 IDE provides a super fast, home grown code editor that beats the speed and scalability of most editors out there (yes even native ones). Go and give it a try! Test and Debug your Code Cloud9 IDE lets you build, debug, and run your Node.js applications within the browser. We Speak Your Language We support syntax highlighting in a number of languages like HTML, CSS, Javascript, Coffeescript, Ruby, PHP, Java, Python, C/C++, Scala, Lua— and more!

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.

Visualize any Text as a Network - Textexture

Related: