In short
Using TRIM, TEXT-to-COLUMNS, Find & Replace, and Remove Duplicates to fix messy real-world data before any analysis is trustworthy.
How to learn this
- 1Take a deliberately messy dataset (extra spaces, inconsistent casing) and clean it fully.
- 2Learn TRIM, CLEAN, and PROPER/UPPER/LOWER for text normalization.
- 3Practice using Text-to-Columns to split a combined field into separate columns.
More topics at this stop
Stuck on this topic? Ask an Insider
Get 1:1 guidance from people who've walked this exact path — on the InsideEdge app.