0.90)] auto_df.drop(columns=corrFutures) Essentially, a correlation matrix is a grid of values that quantify the association between every possible pair of variables that you want to investigate. Definition 1: Given variables x, y and z, we define the multiple correlation coefficient. I put Category and Sum(Profit) on Rows, Sum(Sales) on to Columns, and Customer Name on to Detail. Statistically, correlation can be quantified by means of a correlation co-efficient, typically referred as Pearson’s co-efficient which is always in the range of … It basically is used when we must find out the relationship between more than two variables. Each cell in a table contains the correlation … The last step is to build the viz. {{ links..." />