Which three moves handle missing values?
- Drop, fill, or flag with a reason
- Fill every blank with zero, then move on
- Ignore blanks, since averages skip them
A city column holds " Paris", "PARIS" and "paris ". Which single rule makes them one city?
- Keep only rows that match exactly
- Lower case and trim spaces
- Sort the column from A to Z
Every cleaning repair can change the result.
Circle one: True False
A column is a third missing, mostly in one region. Dropping all those rows erases the region. What is the safer move?
- Fill each gap with the overall average and move on
- Flag the gaps and show how filling moves the answer
- Copy one region over the missing rows
Two rows share a name but carry different id numbers. What are they?
- Two things, so keep both rows
- One thing, so merge them at once
- Trash, so delete both rows
How could a cleaning choice change the conclusion?
- Dropping rows can erase one group and tilt the average
- Cleaned data always prints in color
- Rules make files open faster
When is dropping the right call for blanks?
- When the gaps are few and unrelated to the question
- When you want the file to look short
- Always, since blanks are ugly
A shop appears as Main St and Main Street with the same id. Match or not?
- Keep apart, since letters differ
- Keep both, since two rows always mean two shops
- Match them, since the stable id agrees