In this exercise, we aren't just counting defects—we are uncovering the operational mysteries causing them.

In this step-by-step hands-on data forensic investigation, we’ll dive into root-cause analysis using Tableau. This is an intent-based exercise where you will:

✅ Explore the data—beginning by checking the data types, cleaning the data, and grouping the data

✅  See if you can spot data bias

✅ Can you bypass misleading vanity metrics and learn the difference between correlation and causation?