The Pearson correlation coefficient (also called Pearson product moment correlation coefficient) is a measure of how of related 2 sets of numerical values are. It is calculated as the ratio of the covariance and the product of their standard deviations, so it is always between +1 and -1.
For example, we would expect:
Easy Data Transform can easily calculate the Pearson correlation coefficients for two or more columns of numerical data using it’s Correlate transform. For example, calculating the Pearson correlation coefficients for weight and length variables:
See the video above for more details.
This is only one of the many transforms available in Easy Data Transform. It can also help with cleaning, filtering, blending and analysing your data. All without coding. You can download the free trial in a few clicks and try it yourself.
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