I am happy to report that ByteMining is listed on “40 Fascinating Blogs for the Ultimate Statistics Geek”!

Some of the ones that I frequently read, or are written by Twitter friends/followers (in no particular order):

- R-bloggers, an aggregate site containing blog posts tagged as posts about R. High quality content.
- Statistical modeling, causal inference and social science. This one is a no brainer, as it is the blog for Andrew Gelman‘s group.
- FlowingData by Nathan Yau (@flowingdata), fellow Statistics Ph.D. student at UCLA. Focuses on the data and information visualization side of Data Science.
- dataists by Hilary Mason (@hmason, bit.ly), Vince Buffalo (@vsbuffalo, UC Davis),

Drew Conway (@drewconway, NYU), Mike Dewar (@mikedewar, Columbia),

John Myles White (@johnmyleswhite, Princeton) and others.

A new blog on several aspects of Data Science including Data Mining, visualization and uses of Statistics in current events. Heavy use of R and ggplot2. - Revolutions by Revolution Analytics provides a variety of content around R, Data Science and Statistics in general.
- FiveThirtyEight by Nate Silver shares sophisticated modeling and analysis of elections and government happenings. It is in a different realm, as it attracts political news junkies (and the occasional extremist) rather than just Statisticians.
- LoveStats by Annie Pettit, Ph.D. (@LoveStats) discusses Statistics as used in Social Media and Market Research.
- The Endeavor, by John D. Cook (@johndcook) is more about Mathematics than Statistics, but he posts great stuff including math trivia, hobbyist Mathematics, and philosophy.

You can see the full list of all 40 blogs here!.

How about Blog #39?

Listing it would be redundant ðŸ˜‰

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