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Correlation coefficient

Scatter plots are great a visualizing relationships between two variables (or more with visual context). An analysis is even more powerful when adding a quantitative metric, i.e. correlation coefficients, to describe the relationship as well.

In this exercise, you'll use a quick measure to calculate the correlation coefficient then interpret this metric to derive an insight.

If you have lost any progress, close any open reports and load 4_3_correlation_coefficient.pbix from the Workbooks folder on the Desktop.

This exercise is part of the course

Exploratory Data Analysis in Power BI

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