February 2024
Beginner to intermediate
340 pages
8h 19m
English
Content preview from Data Cleaning with Power BI
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Data Cleaning Fundamentals and Principles
In this chapter, we will delve into the fundamental concepts and key principles that form the backbone of effective data cleaning practices, with the aim of sharing essential knowledge and processes to confidently tackle the challenges of dirty data and transform it into reliable, accurate, and actionable information.
As the previous chapter introduced, poor data quality can lead to people like yourself needing to clean data ready for it to be analyzed. Data cleaning is an indispensable step in the data preparation process, ensuring that the data we work with is trustworthy, consistent, and fit for analysis. It involves identifying and rectifying errors, inconsistencies, duplicates, missing values, ...
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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.