Data Visualization Links: Difference between revisions

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*[http://www.dmreview.com/portals/portal.cfm?topicId=230006 Data Visualization Portal] DM Review Magazine
*[http://www.dmreview.com/portals/portal.cfm?topicId=230006 Data Visualization Portal] DM Review Magazine
*[http://www.phil.uni-sb.de/FR/Medienzentrum/Grafikexperiment/verweise.html Verweise zu "Graphische Präsentation von Daten"] List of links and articles related to the graphical representation of data
*[http://www.phil.uni-sb.de/FR/Medienzentrum/Grafikexperiment/verweise.html Verweise zu "Graphische Präsentation von Daten"] List of links and articles related to the graphical representation of data
*[http://www.b-eye-network.com/newsletters/ben/2370 Recommendations for Your Data Visualization Bookshelf] (Article by Stephen Few)
*[http://gapminder.org/ Gapminder] Gapminder is a non-profit venture for development and provision of free software that visualise human development.
*[http://www.google.com/coop/cse?cx=015508547728725058312%3Ae72-8qt96bi Data Visualization Search] Search engine for everything Data Visualization. Narrows down searches to known good sources. - Please contribute links to search.
*[http://www.perceptualedge.com/files/GraphDesignIQ.html Graph Design I.Q. Test] Take this 10 question test to assess your knowledge about good and bad graph design.
*[http://chartchooser.juiceanalytics.com/ Chart Chooser] by Juice Analytics
*[http://abhishek.twr.googlepages.com/choosing_a_good_chart.pdf Choosing a good chart (PDF)] Poster by A. Abela
*[http://www.smallmeans.com/new-york-times-infographics/ New York Times Infographics]
*[http://www.hichert.com/de/success SUCCESS Rules] by Rolf Hichert (in German)
*[http://infothread.org Infothread] Tons of infographics
*[http://www.lavastorm.com/solutions/data-visualization Lavastorm] Business Data Visualization Software


== Articles ==
== Tutorials ==
* [http://ldt.stanford.edu/ldt1999/Students/mizuno/Portfolio/Work/reports/tufte/ed229c-tufte-outline.html Tufte Design Principles]<br />
*[http://web.cs.wpi.edu/~matt/courses/cs543/visualize/ Introduction to Visualization: Vis '96 Tutorial] by [[Grinstein, Georges G.|Dr. Georges Grinstein]] and [[Ward, Matthew O.|Dr. Matthew O. Ward]]
* [http://www.intelligententerprise.com/showArticle.jhtml;jsessionid=N2ATDQWY5VYKSQSNDBGCKHSCJUMEKJVN?articleID=49400920 Elegance Through Simplicity] Article about redesigning graphs (by Stephen Few)
*[http://www.nbr-graphs.com/trainframe.html How to Draw Some Useful Charts Not on Excel Menus] by [[Robbins, Naomi B.|Naomi B. Robbins]]
* [http://home.ched.coventry.ac.uk/Volume/vol0/intro.htm DISCUSS Charts and Graphs - Introduction] Good Graphs, Bad Graphs, Ugly Graphs
* [http://home.ched.coventry.ac.uk/Volume/vol0/philosop.htm DISCUSS Charts and Graphs - Philosophy] Tell the Truth, Design Variation, Data Ink, Data Density
* [http://www.intelligententerprise.com/showArticle.jhtml?articleID=22102226 The Information Cannot Speak for Itself] Article about about effective data presentation (by Stephen Few)<br />
* [http://www.intelligententerprise.com/showArticle.jhtml?articleID=26100530 Common Mistakes in Data Presentation] (by Stephen Few)
* [http://www.intelligententerprise.com/showArticle.jhtml?articleID=31400009 Tapping the Power of Visual Perception] Why do people respond to some forms of presentation better than others? (by Stephen Few)
* [http://www.intelligententerprise.com/showArticle.jhtml?articleID=46800517 Eenie, Meenie, Minie, Moe: Selecting the Right Graph for Your Message] Don't rely on arbitrary decisions to pick your data presentation method. By categorizing your message type and applying the correct design solutions, you can remove all the guesswork.(by Stephen Few)
* [http://www.masterviews.com/2001/12/15/what_is_the_dataink_ratio.htm What is the data-ink ratio?]
* [http://www.washington.edu/computing/training/560/zz-tufte.html Graphics and Web Design Based on Edward Tufte's Principles]
* [http://researchweb.watson.ibm.com/dx/proceedings/pravda/truevis.htm How NOT to Lie with Visualization]
*[http://www.dmreview.com/article_sub.cfm?articleId=1023904 Data Visualization: ''Quantitative vs. Categorical Data: A Difference Worth Knowing''] Column published in DM Review Magazine, April 2005 Issue By Stephen Few
*[http://www.dmreview.com/article_sub.cfm?articleID=1018118 Data Visualization: ''Grid Lines in Graphs are Rarely Useful''] Column published in DM Review Magazine, February 2005 Issue By Stephen Few
*[http://www.dmreview.com/article_sub.cfm?articleId=1016296 Data Visualization: ''Bad Graphs: The Stealth Virus''] Column published in DM Review Magazine, January 2005 Issue By Stephen Few
*[http://www.ncsu.edu/labwrite/res/gh/gh-tables.html Designing Tables] NC State University LabWrite Resources
*[http://www.ncsu.edu/labwrite/res/gh/gh-graphtype.html Graph Types] Selecting a Graph Type, NC State University LabWrite Resources
*[http://www.ncsu.edu/labwrite/res/gh/gh-bargraph.html Bar Graphs, Histograms] NC State University LabWrite Resources
*[http://www.ncsu.edu/labwrite/res/gh/gh-linegraph.html Line Graphs and Scatter Plots] NC State University LabWrite Resources
*[http://www.ncsu.edu/labwrite/res/visualrev/res-visualrev.html Revising your Visuals] NC State University LabWrite Resources
*[http://www.ncsu.edu/labwrite/res/gt/gt-stat-home.html Using Error Bars in your Graph] NC State University LabWrite Resources


[[Category:Web resources]]
== Web Services ==
*[http://services.alphaworks.ibm.com/manyeyes/app Many Eyes] for shared visualization and discovery
*[http://www.data360.org/ Data360] A platform for storing, tracking and reporting your data.
*[http://www.swivel.com/ Swivel] Swivel is a Web site for curious people to explore data.
 
A rolling stone is worth two in the bush, thakns to this article.

Latest revision as of 18:07, 31 October 2013

Tutorials

Web Services

  • Many Eyes for shared visualization and discovery
  • Data360 A platform for storing, tracking and reporting your data.
  • Swivel Swivel is a Web site for curious people to explore data.

A rolling stone is worth two in the bush, thakns to this article.

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