Profile Before You Repair
Use profiling to measure defects before changing values.
The cleaning target is not a pretty table. It is data fit for a specific use. The mechanism The Team Data Science Process treats data acquisition and understanding as a distinct phase before modeling or production. In cleaning work, profiling is the practical expression of that phase. You count missingness, uniqueness, ranges, patterns, source systems, and suspicious combinations before you repair. Profiling works because defects are rarely evenly distributed. A blank field may come from one source connector, one date range, one customer segment, or one changed schema. If you fill first, you erase the pattern that would have revealed…
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