Correlation vs. Causation: Avoiding Misleading Insights in Data Analysis
One of the most common traps in data analysis is confusing correlation with causation.
One of the most common traps in data analysis is confusing correlation (a statistical association between variables) with causation (a relationship where one variable directly influences another).
Every data analyst knows that data has many relationships, but not all relationships relate.
With correlation and causation, it gets tricky because misinterpret…
