Cleaning and Standardizing Data : Data Quality with Power Query
Overview
The pipeline reruns. The cleaning log explains itself.
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.
What you will be able to do- Profile first: a defect inventory measured, not guessed
- Types, missing values, duplicates, outliers and implausible values
- Record matching, entity resolution, names, addresses, currency and units
- Validation rules and a cleaning log somebody else can audit
- When not to clean - and how to say so out loud
Anyone who receives data from somebody else and is held responsible for what comes out of it.
The labsEvery 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.
About the seriesAnalytics 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.
This item is Non-Returnable
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Details
- ISBN-13: 9798178776452
- ISBN-10: 9798178776452
- Publisher: Independently Published
- Publish Date: October 2026
- Dimensions: 9 x 6 x 0.55 inches
- Shipping Weight: 0.78 pounds
- Page Count: 262
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