OhioLINK ETD: Alali, Abdulkareem
Comparison « Data Visualization
I got this question often: which is the best Data Visualization product? Lets compare some DV platforms such as Spotfire, Qlikview, Tableau Software and the Microsoft BI platform (PowerPivot, Excel 2010, SQL Server with its VertiPaq, SSAS, SSRS and SSIS). 2 key factors for tool selection are which makes it easy to comprehend the data,price-performance Because modern datasets are huge (or growing very fast!), they are usually best comprehended using Data Visualization (DV) with an ability to interact with data through visual drill-down capabilities and dashboards. There is NO a single best visualization product. We also suggest for you to take a look on other comparisons: Altheon comparing Qlikview, Tableau and Omniscope and others (please ping me if you will find good comparison of DV tools). Notes. DV expert can help to select the appropriate DV approach for your specific application. Additional factors to consider when comparing DV tools (table above overlaps with list below): Like this:
VBOpenGL type library v1.2
Version 1.2 of the type library is a consolidation of Patrice Scribe's 'Microsoft OpenGL Type Library 1.1' and the previous versions of VBOpenGL.tlb. There are 2 sets of OpenGl dlls, one from Microsoft and one from SGI. The first file is for Microsoft, the second for SGI. Unless you have installed the SGI implementation of OpenGL, you should use the type library for the Microsoft dlls. [What's the difference? I don't use the SGI dlls, but it is said by those who do that SGI is faster in some circumstances. Download VBOpenGL 1.2 for Microsoft (approx. 180K) Download VBOpenGL 1.2 for SGI (approx. 180K) Download GLSGI.bas for SGI - Use these declarations to get the SGI dlls working. Installation: Expand the zip file and move 'vbogl.tlb' to a directory where you intend to leave it. Both of the type libraries above include a lot of declarations of Win32 functions. VBOpenGL 1.2 - OpenGL only (approx. 90K) About GLUT: The type library includes declarations for GLUT 3.6. About Type Libraries:
Data Wrangler
UPDATE: The Stanford/Berkeley Wrangler research project is complete, and the software is no longer actively supported. Instead, we have started a commercial venture, Trifacta. For the most recent version of the tool, see the free Trifacta Wrangler. Why wrangle?
Les fonctionnalités de Artichow
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50 Great Examples of Data Visualization
Wrapping your brain around data online can be challenging, especially when dealing with huge volumes of information. And trying to find related content can also be difficult, depending on what data you’re looking for. But data visualizations can make all of that much easier, allowing you to see the concepts that you’re learning about in a more interesting, and often more useful manner. Below are 50 of the best data visualizations and tools for creating your own visualizations out there, covering everything from Digg activity to network connectivity to what’s currently happening on Twitter. Music, Movies and Other Media Narratives 2.0 visualizes music. Liveplasma is a music and movie visualization app that aims to help you discover other musicians or movies you might enjoy. Tuneglue is another music visualization service. MusicMap is similar to TuneGlue in its interface, but seems slightly more intuitive. Digg, Twitter, Delicious, and Flickr Internet Visualizations
kiwitobes.com
Putting Recommenders on the Map
Classic Archapelago Metallands Indyana Grungium
data made shiny :: thunderbird, gloda, exptoolbar, protovis, paninaro, oh oh oh
Thunderbird. With the global database, gloda. Using the exptoolbar extension. Using the protovis javascript visualization library. For reals! What you are looking at: The exptoolbar search results page, augmented with a visualization.Each conversation with search results gets its own wedge. Things that are happy: protovis is delightful, even at this early stage of its development.The radar-styled visualization looks fairly neat, and basically proves at least feature parity with my visophyte-based radar visualization. Things that are sad (aka caveats): It would probably be better if the visualization was not radar-inspired. Future work: Interactivity.Perhaps showing the gravatars for the people involved in a conversation at the outer rim of the wedge, positioning them based on the author positioning we determined.Perhaps lose the radar motif.Your thoughts / patches!
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. It uses JavaScript and SVG for web-native visualizations; no plugin required (though you will need a modern web browser)! Although programming experience is helpful, Protovis is mostly declarative and designed to be learned by example. 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! Getting Started
