People often confuse correlation and causation when looking at data sets.

The purpose of this site is to show that you can correlate any 2 data sets, even if they have no relationship.

Causation is when one variable directly influences another, like average income vs highest level of education completed.

Correlation is when 1 data set looks like it is influencing another, but there an another variable influencing both data sets. They may even be no connection at all.