Looking 4 data visualization: Software . IBM, depuis le mois de Mars, dispose d'une nouvelle solution de Business Intelligence: Cognos Insight. Cette solution se positionne principalement sur le marché de la data visualization, IBM espère concurrencer le succès des solutions QlikView, Tableau Software avec la sortie de Cognos Insight . . Pour découvrir Cognos Insight, je vous propose un guest post rédigé par un expert d'IBM: Christoph Papenfuss performance-ideas.com Christoph Papenfuss has been working in the area of Business Analytics and Performance Management for over 14 years. Here is his thoughts on the new IBM BI tool : Cognos Insight. ' On March 7th, IBM officially released the highly anticipated personal analytics tool Cognos Insight. Rapid time to analysis Cognos Insight is a desktop tool. Analysis and visualization Analyzing and exploring data is really easy. There are a lot of different tools users can choose for the analysis: traffic-lighting, calculations and interactive filtering (so-called Explore Points).
JESS3™ 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:
Statistical modeling, causal inference, and social science: Blog of Andrew Gelman's research group, featuring Bayesian statistics, multilevel modeling, causal inference, political science, decision theory, public health, sociology, economics, and literatu jQuery Sparklines News 15 June 2013 - Version 2.1.2 Relased This release adds support for jQuery 1.10.0 and other bug fixes and minor improvements. See the full changelog for details of all changes. 26 January 2013 - Version 2.1.1 Relased This release adds support for jQuery 1.9.0 along with a couple of other bug fixes. If you're using a version of jQuery later than 1.8, be extra sure you're not rendering your page in quirks mode to avoid breaking tooltips for IE users. See jQuery's notes on quirks compatiblity for more info. See the full changelog for details of all changes. 15 October 2012 - Version 2.1 Released This release is primarily a bug-fix release, but also adds support for Internet Explorer 10. See the full changelog for details of all changes. 29 April 2012 - Version 2.0 Released This release represents a significant code update. Customizable mouseover tooltips and interaction including highlighting of moused-over values. There's a few non-code updates as well: eg. This release also: Documentation
logTool: Revealing the Hidden Patterns of Online Surfing Behavior logTool [onformative.com] is a data visualization tool that displays your online activity, based on data from the powerful network packet sniffing tool Carnivore. By analyzing the different IP addresses and ports, the visualization is able to determine and represent what kind of application or service sends or receives the packets. Developed for the magazine Weave, logTool was used to digest the surfing behavior of several interaction designers, artists and developers. The time period of a whole day was split into 288 timeslots, 5 minutes each, represented by a radial bar graph. Both tool and source code can be freely downloaded. See also Nebul.us and EyeBrowse. Examples Weave Data Tutorial Weave Data TutorialTutorial for Weave Magazine 03.10 about visualizing network data Client: Weave Magazine / Page publisher We all use twitter, write emails, skype and blog all day long. To visualize this fact and the traces we leave on our journey through the internet and to reveal some of the hidden patterns of our everyday online life, weave magazine asked us to create a data visualization of the online activity of several interaction designers, artists and developers.To explain the process behind the visualization and to give every reader the chance to create his own log-file and graph, we also wrote a 8-page tutorial describing how to collect, analyze and visualize this kind of data. By analyzing your personal internet traffic logfile using the custom written software you get a distinctive and unique visualization of your online activities. Collecting the Data To collect the needed data we wrote a little packet sniffing tool using processing and the open source carnivorePE library.
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