In this report, we use Pearson and Spearmen methodologies for the real-time dataset of finding the data efficiency in the contact lenses selection dataset. In statistics, the Pearson coefficient of correlation, conjointly cited because the Pearson's r or Pearson product-moment coefficient of correlation could be alive of the linear dependence between two variables X and Y. It's a worth between +1 and -1 comprehensive, wherever one is a total positive linear correlation, zero isn't any linear correlation, and -1 is a total negative linear correlation. The Spearmen methodology is that the correlation methodologies utilized to spot the complexes between the various attributes in the dataset. Then we use Pearson and Spearmen method to determine the correlation between the attributes in the contact lenses selection dataset. © 2017 IEEE.