Visualizations

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http://www.juiceanalytics.com/writing/better-know-visualization-motion-charts/

Better Know a Visualization: Motion Charts

With enough visualization methods to warrant a periodic table , it can be confusing to know what to use and when—and which visualizations are even worth considering at all.

Better Know a Visualization: Parallel Coordinates

(With enough visualization methods to warrant a periodic table , it can be confusing to know what to use and when—and which visualizations are even worth considering at all. This series of posts is intended to introduce you to the visualization approaches that we find most useful, practical, and audience-friendly.)

http://www.juiceanalytics.com/writing/parallel-coordinates/

In search of the perfect Tag Cloud « WordWorks

http://coelomic.wordpress.com/2006/01/02/tag-clouds/

Tagging has become an essential part of browsing the internet these days. If you have read my previous two posts on tagging you would now know why I am not a big fan of the concept and I am not alone in this regard. Well if it is proving to be a necessary evil then it better be easy.

Natbib reference sheet

http://merkel.zoneo.net/Latex/natbib.php

Reference sheet for natbib usage (Describing version 7.0b from 2002/02/27)

Patent iNSIGHT Pro - Blog: Overview and use of Correlation Maps

We recently introduced a new method to display network mode maps in VizMAP and this blog focuses on discussing details of this map. First, a recap on network mode maps. Let us look at a very simple table of 5 companies vs IPC Main classes on a random sample of patents an applications on antivirus.

http://blog.patentinsightpro.com/2011/02/09/overview-and-use-of-correlation-maps.aspx

Statistics Glossary - presenting data

http://www.stats.gla.ac.uk/steps/glossary/presenting_data.html#stem

Discrete Data A set of data is said to be discrete if the values / observations belonging to it are distinct and separate, i.e. they can be counted (1,2,3,....). Examples might include the number of kittens in a litter; the number of patients in a doctors surgery; the number of flaws in one metre of cloth; gender (male, female); blood group (O, A, B, AB).