This document discusses analyzing 6 years of statistics from the Oberlin Group of liberal arts colleges. It describes transforming the data, checking for outliers, testing correlations between variables, and building a regression model. It finds that high group attendance impacts reference transactions but not circulation. High gate count results in high circulation. Circulation depends on volume count. The document also explores predicting US News rankings based on library-specific data like expenditures, staff salaries, collections, and transactions.