Data grain and cleaning
Use data grain and cleaning to make decisions inspectable.
What you should be able to do
Independently: Define one row and identify missing, duplicate and unusual records.
Suggested prerequisites
A short guide
Use data grain and cleaning to make decisions inspectable. Define one row and identify missing, duplicate and unusual records. Read the indicated source section, identify its key concepts and conditions, and work through the example. Record inputs, sources, units and assumptions. Keep your method separate from the result, mark unanswered questions, and review the output against the checklist.
An example
Orders and order lines have different row grain.
Your task
Define one row and identify missing, duplicate and unusual records.
Start with this source
Read the indicated section relevant to data grain and cleaning and complete the foundation task.
This source is awaiting renewed review. Try the task above and adjacent skills; reviewed sources will appear here.
Your learning checklist
Required items: 0 / 10 completed or already known
Next: Read a role through its responsibilities
Checklist statuses are self-reported; exercise scores are recorded separately. You can reset any item.