Data Visualization readings – last 4 months of 2013.

(time to read is shrinking…)

0. The Once and Future Prototyping Tool of Choice
http://tableaufriction.blogspot.com/2013/07/the-once-and-future-prototyping-tool-of.html

1. Block by Block, Brooklyn’s Past and Present
http://bklynr.com/block-by-block-brooklyns-past-and-present/

2. Data Visualization and the Blind
http://www.perceptualedge.com/blog/?p=1756

3. WHY ABRAHAM LINCOLN LOVED INFOGRAPHICS
http://www.newyorker.com/online/blogs/elements/2013/10/why-abraham-lincoln-loved-infographics.html#

4. Old Charts

5. Back To Basics
http://www.quickintelligence.co.uk/back-to-basics/

6. In-Memory Data Grid Key to TIBCO’s Strategy
http://www.datanami.com/datanami/2013-10-21/in-memory_data_grid_key_to_tibco_s_strategy.html

7. Submarine Cable Map
http://visual.ly/submarine-cable-map?view=true

8. Interview with Nate Silver:
http://blogs.hbr.org/2013/09/nate-silver-on-finding-a-mentor-teaching-yourself-statistics-and-not-settling-in-your-career/

9. Qlikview.Next will be available in 2014
http://apandre.wordpress.com/2013/09/25/qlikview-next/

10. Importance of color?
http://www.qualia.hr/why-is-color-so-important-in-data-visualization/#

11. Qlikview.Next has a gift for Tableau and Datawatch
http://apandre.wordpress.com/2013/10/24/qlik-next-has-gift/

12. (October 2013) Tableau posts 90% revenue gain and tops 1,000 staffers, files for $450 million secondary offering
http://www.geekwire.com/2013/tableau-software/#

13. The Science Of A Great Subway Map
http://www.fastcodesign.com/3020708/evidence/the-science-of-a-great-subway-map

14. SEO Data Visualization with Tableau
http://www.blastam.com/blog/index.php/2013/10/how-to-create-awesome-seo-data-visualization-with-tableau/

15. John Tukey “Badmandments”
http://www.kdnuggets.com/2013/11/john-tukey-badmandments-lessons-from-great-statistician.html#
Tukey

Supplementary BADMANDMENTS:

  • 91. NEVER plan any analysis before seeing the DATA.
  • 92. DON’T consult with a statistician until after collecting your data.
  • 94. LARGE enough samples always tell the truth

16. Thinking about proper uses of data visualization.
http://data-visualization-software.com/finally-some-clear-thinking-about-proper-uses-of-data-visualization/

17. Big BI is Stuck: Illustrated by SAP BusinessObjects Explorer
http://www.perceptualedge.com/blog/?p=727

18. IBM (trying to catch up?) bets on big data visualization
http://www.zdnet.com/ibm-bets-on-big-data-visualization-7000022741/

19. Site features draft designs and full views of the Treemap Art project (By Ben Shneiderman)
http://treemapart.wordpress.com/
http://www.cs.umd.edu/hcil/treemap-history/
http://www.cs.umd.edu/hcil/treemap/
http://treemapart.wordpress.com/full-views/
http://treemapart.wordpress.com/category/draft-designs/
img_6560

20. A Guide to the Quality of Different Visualization Venues
http://eagereyes.org/blog/2013/a-guide-to-the-quality-of-different-visualization-venues

21. Short History of (Nothing) Data Science
http://www.forbes.com/sites/gilpress/2013/05/28/a-very-short-history-of-data-science/

22. Storytelling: Hans Rosling at Global Health – beyond 2015

23. DataWatch Quarterly Review: Rapid Growth Finally Materializing
http://seekingalpha.com/article/1872591-datawatch-quarterly-review-rapid-growth-finally-materializing

24. QlikView Extension – D3 Animated Scatter Chart
http://www.qlikblog.at/2574/qlikview-extension-animated-scatter-chart/

AnimatedScatterChart-500x328

25. SlopeGraph for QlikView (D3SlopeGraph QlikView Extension)
http://www.qlikblog.at/3093/slopegraph-for-qlikview-d3slopegraph-qlikview-extension/

26. Recipe for a Pareto Analysis
http://community.qlikview.com/blogs/qlikviewdesignblog/2013/12/09/pareto-analysis

27. Color has meaning
http://www.juiceanalytics.com/design-principles/color-has-meaning/#
Meaning-in-color-e1328906744180

28. TIBCO’s Return To License Growth Frustratingly Inconsistent
http://seekingalpha.com/article/1909571-tibcos-return-to-license-growth-frustratingly-inconsistent

29. Automated Semantics and BI
http://www.forbes.com/sites/danwoods/2013/12/30/why-automated-semantics-will-solve-the-bi-dashboard-crisis/

30. What is wrong with definition of Data Science?
http://www.kdnuggets.com/2013/12/what-is-wrong-with-definition-data-science.html
mout-stats-cs-database

31. Scientific data became so complex, we have to Invent new Math to deal with it
http://www.wired.com/wiredscience/2013/10/topology-data-sets/

32. Samples