You're reading from Data Cleaning with Power BI

Product typeBook

Published inFeb 2024

PublisherPackt

ISBN-139781805126409

Edition1st Edition

Concepts

Data Analysis

Author (1)

Gus Frazer

Summary

In this chapter, you began your journey into the practical aspects of data cleaning within Power BI. You covered some of the most common data cleaning steps in Power BI, including removing duplicates, handling missing data, splitting columns, merging tables, dealing with date formats, replacing values, and creating calculated columns versus measures.

The chapter also highlighted the importance of replacing values in your data. Outliers, incorrect values, or inconsistent formats can hinder analysis. You learned about various scenarios where replacing values is necessary and used the Replace Values function in Power Query to fix errors and standardize data.

Lastly, the chapter explored the difference between calculated columns and measures in Power BI and explained when to use each option and their respective benefits. Calculated columns are best suited for row-level calculations, while measures are ideal for aggregations and calculations based on visual context. The chapter...

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Data Cleaning with Power BI

Published in: Feb 2024Publisher: PacktISBN-13: 9781805126409

Author (1)

Gus Frazer

Gus Frazer is a seasoned analytics consultant who focuses on business intelligence solutions. With over eight years of experience working for the two market-leading platforms, Power BI (Microsoft) and Tableau, he has amassed a wealth of knowledge and expertise. He also has experience in helping hundreds of customers to drive their digital and data transformations, scope data requirements, drive actionable insights, and most important of all, clean data ready for analysis.
Read more about Gus Frazer

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