Clarofy Features: Correlation

This tool can be used to find out the statistical value of the correlation between your variables. You would do this if you want to find out if a relationship that you visually recognised has statistical importance. An example might be, you noticed that your flot feed pump speed has a negative relationship with your KPI (eg: tails grade) in an exploration plot. You might use the correlation matrix to make sure that the Pearson Correlation between the two is >-0.5, which could indicate a strong negative correlation. The selection of 0.5 is arbitrary and you would decide what a strong correlation would be in relation to all your variables.

The discovery of a strong or week correlation would be the catalyst for further analysis and can result in decisions to change the levers that are pulled in a processing plant to optimise your KPI.

Hope these tips help, and let us know what else you'd like to see in these articles!