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INTRODUCTION
Perhaps my interest in data mining and analytics originated from Steven Levitt and Stephen Dubner's 2005 bestselling book Freakonomics: A Rogue Economist Explores the Hidden Side of Everything,. The authors in this book apply economic theory (a science of measurement) to a diverse set of subjects not usually covered by "traditional" economists; such as correlating cheating as applied to teachers and sumo wrestlers. This book inspired me to look at data differently. In that spirit, I decided to have some fun with the data from our 2016 Wilson Research Group Functional Verification Study [1] by examining interesting correlations in an attempt to uncover unexpected observations. For example, in the March 2015 issue of
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