In which it is demonstrated what is the deal with e.

Maximal Information Coefficient is a measure of two-variable dependence with some interesting properties. Full information and information on how to calculate MIC using R are available at exploredata.net. Here I calculate the MIC for an example that Andrew Gelman posed on his blog.

This documents my descriptive analysis for the HBR competition on kaggle (https://www.kaggle.com/c/harvard-business-review-vision-statement-prospect/). It doesn't even get into the text analysis part yet, but it's kind of interesting as a historical look at how HBR has been published over the years.