February 2024
Beginner to intermediate
340 pages
8h 19m
English
Content preview from Data Cleaning with Power BI
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4
The Most Common Data Cleaning Operations
Now that you’ve built a strong knowledge of data quality and the importance of assessing and documenting your data cleaning process, it’s time to roll your sleeves up and get stuck into some data.
In this chapter, you will be learning how to deal with the most common data cleaning steps within Power BI, as listed next. For each of these example topics, you will find a step-by-step walk-through on how to carry out these transformations yourself.
We will cover the following specific topics:
- Removing duplicates
- Removing missing data
- Splitting columns
- Merging columns
- Replacing outliers
- Creating calculated columns versus measures
By the end of the chapter, you will have built a strong base of foundational ...
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O’Reilly covers everything we've got, with content to help us build a world-class technology community, upgrade the capabilities and competencies of our teams, and improve overall team performance as well as their engagement.Julian F.
I wanted to learn C and C++, but it didn't click for me until I picked up an O'Reilly book. When I went on the O’Reilly platform, I was astonished to find all the books there, plus live events and sandboxes so you could play around with the technology.Addison B.
I’ve been on the O’Reilly platform for more than eight years. I use a couple of learning platforms, but I'm on O'Reilly more than anybody else. When you're there, you start learning. I'm never disappointed.Amir M.
I'm always learning. So when I got on to O'Reilly, I was like a kid in a candy store. There are playlists. There are answers. There's on-demand training. It's worth its weight in gold, in terms of what it allows me to do.