Another Word For It Patrick Durusau on Topic Maps and Semantic Diversity

January 2, 2013

100 most read R posts for 2012 [No Data = No Topic Maps]

Filed under: Data Mining,R,Topic Maps — Patrick Durusau @ 11:42 am

Tal Galili writes in 100 most read R posts for 2012 (stats from R-bloggers) – big data, visualization, data manipulation, and other languages:

R-bloggers.com is now three years young. The site is an (unofficial) online journal of the R statistical programming environment, written by bloggers who agreed to contribute their R articles to the site.

Last year, I posted on the top 24 R posts of 2011. In this post I wish to celebrate R-bloggers’ third birthmounth by sharing with you:

  1. Links to the top 100 most read R posts of 2012
  2. Statistics on “how well” R-bloggers did this year
  3. My wishlist for the R community for 2013 (blogging about R, guest posts, and sponsors)

A number of posts on R that may be useful in data mining to create topic maps.

I retain my interest in the theory/cutting edge side of things. But discovering more than 1/2 $trillion in untraceable payments in a government report is a thrill. The 560+ $Billion Shell Game

It’s untraceable for members of the public. I am certain insiders at the OMB can trace it quite easily.

Which makes you wonder why they are hoarding that information?

Will try to season the blog with more data into topic maps type posts in 2013.

Suggestions and comments on potential data sets for topic maps most welcome!

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