Correlation heatmap with seaborn

Creating or updating a quick measure for each pair of variables we want to evaluate would be tedious. Let's leverage the power of Python to do this across multiple pairs of variables at once.

In this exercise, you will use a Seaborn heatmap to display the correlation coefficients across each pairwise relationship across variables in our fishing dataset.

If you have lost any progress, close any open reports and load 4_2_correlation_heatmap.pbix from the Workbooks folder on the Desktop.