Dirty data is not a one-off chore — it arrives again next month. This book builds a repeatable cleaning pipeline in Power Query, and in SQL and Python when the volume outgrows it, then proves the cleaning actually worked.
Every defect it treats is measured first on a raw edition of the Cedar Ridge systems, so you clean what is there rather than what you assume is there.
Anyone who receives data from somebody else and is held responsible for what comes out of it.
Every chapter ends with a practice lab. Each one can be worked in the tools you already have, or in a free browser version that checks your answer as you go — no account, no install. The address is printed inside the book.
Analytics at Work is an eight-book series for business professionals. All eight run on the same thirty-six months of enterprise data from Cedar Ridge Brands, a fictional American consumer-goods maker. This is Book 3 of 8.
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