Comments

(newest first)

• Becka Mays | Fri, 03 Nov 2017 23:11:48 UTC

  Cool......

• frankg | Fri, 25 Jul 2014 15:27:30 UTC

  I would avoid using red and green colors together since it could be an issue for color blind viewers.

• Fernando | Wed, 19 Mar 2014 00:31:26 UTC

  Very nice article, really help me in defining a dashboard for social media performance.

• puneeth d poojary | Mon, 05 Aug 2013 13:38:07 UTC

  Nice article, great work.....

• Barrett Elise Harris | Fri, 13 Jul 2012 13:24:22 UTC

  This is great. It's like a manifestation of perceptions. There are SO many. So many variables! WHEW! Good stuff. <3

• mrugank | Sat, 16 Jul 2011 21:51:51 UTC

  hi Jeffrey Heer, is tableau provided it has roots in stanford using any of your chart codes? I am a consultant from India currently working on developing a competing product to tableau. I would like to know whether i can make use of your services? We have developed a platform for data sharing and collection and currently i am looking for chart library APIs for data visualization. 

• Greg Hooper | Sat, 02 Oct 2010 19:04:06 UTC

  What about tools like R - is that a different category of software?  Sorry if that's a basic question, I'm just trying to learn what's what.

• Roop | Fri, 01 Oct 2010 08:08:35 UTC

  Fantastic roundup  Protovis looks like a very promising library for our (hopefully) standards-based future.

• Larry Tesler | Wed, 23 Jun 2010 22:34:00 UTC

  Bryce, you mentioned Wordle. The authors mentioned it, too, in the interview accompanying the web version of the survey.

• Cathryn McCormack | Tue, 22 Jun 2010 05:10:12 UTC

  While mostly very interesting, I am surprised to see the graduated symbol map 3C and the cartogram 3D included. The graduated symbol map includes pie charts - something abandoned by Stephen Few in Show Me the Numbers because they communicate information poorly. Both pie charts and the round circles in the cartogram 3D would be rejected by him as effective based on the fact it is difficult for human visual perception to accurate assign quantitative vaues to 2D areas. But I'm glad to see you included my favourite chart of all time - Minard's Napoleonic invasion of Russia!

• Nora | Mon, 14 Jun 2010 12:47:55 UTC

  Hi, these are great examples!! Is it possible to get the source code for Example 1B? I am especially curious about the centered stacked graph!! Thank you!

• Bryce Samuels | Sat, 05 Jun 2010 09:32:42 UTC

  Very interesting article!  Another visualization gem is word cloud, popularized by Wordle (http://www.wordle.net) and recently perfected by Tagxedo (http://www.tagxedo.com).

• Jose | Fri, 04 Jun 2010 20:17:41 UTC

  On additional resources the name of the book is wrong. Is "Now you see it" instead of "Now I see it."

• Jeffrey Heer | Wed, 02 Jun 2010 01:05:41 UTC

  Note to readers: we have made some corrections to the interactive version of the small multiples visualization (1C). It now shows unemployment rates, with each multiple plotted on the same scale to facilitate more accurate comparisons across industries. Click Figure 1C to see the updated example.

• Benji Smith | Wed, 26 May 2010 17:13:20 UTC

  Nice summary. But aren't you missing the excellent work on "hierarchical edge bundling" developed by Danny Holten?
  
  Here's a link to his faculty info page:
  
  http://www.win.tue.nl/~dholten/

• Zhamak Dehghani | Sat, 22 May 2010 08:03:40 UTC

  Great article and fantastic timing for me, as I have just stepped into the world of management from software engineering background and realising a great need to present data and information effectively. It would be great to expand your data visualisation examples to include time scale and also write about more complex information where scenarios, interactions and transitions are involved.

• Avid | Fri, 21 May 2010 10:29:04 UTC

  Fantastic article, great examples! Please extend! (maybe with Gantt, Surface plot, Radar, Funnel)

• jason | Fri, 21 May 2010 03:18:00 UTC

  nice article, great job. thanks

• Florian | Thu, 20 May 2010 10:49:40 UTC

  Very nice article, thanks!

• Noah Iliinsky | Wed, 19 May 2010 01:56:03 UTC

  This is very nice resource. 
  
  You appear to have swapped the titles in 4A (labeled Radial, looks cartesian) and 4B (labeled cartesian, looks radial).
  
  Best, Noah

• Alex Kerin | Wed, 19 May 2010 00:17:06 UTC

  Great job - fantastic job on the dorling choropleth especially. I'm going to see what else other data would look great on this platform.

• Jan Willem Tulp | Tue, 18 May 2010 12:36:01 UTC

  BTW, some of the interactive demos are rather slow (Google Chrome on an Intel Core Duo CPU, 2.20GHz, and 2GB of RAM). For example the brushing/linking example 2C: Scatterplot Matrix of Automobile Data is rather slow. Is this the protovis framework? Or the Javascript enging of Chrome? Or my machine?)
  
  Thanks!

• Jan Willem Tulp | Tue, 18 May 2010 12:33:05 UTC

  This is a very nice reference, and also great to see the live examples in Protovis! Good job!

• Vadim Ogievetsky | Sat, 15 May 2010 21:41:06 UTC

  Horizon graphs are indeed somewhat confusing at first; but user studies show that once you get used to them you are able to extract the same amount of information with almost the same error rate as you would form their full scale counterparts. 

• Jeff Wong | Sat, 15 May 2010 19:12:49 UTC

  I'm not sure I understand the horizon graphs. The figure is confusing because I didn't realize the chart was progressively stacking the tops of the display on top of itself.
  
  At first it looks like the multiple charts are part of the same visualization of the data that work together, rather than different versions.