December 2022
Beginner to intermediate
370 pages
8h 50m
English
Content preview from CompTIA Data+: DAO-001 Certification Guide
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4
Cleaning and Processing Data
On rare occasions, you may receive data that is already clean, neat, and ready to use, but having an immaculate dataset just handed to you is the exception, not the rule. More often than not, while working as a data analyst, the datasets you receive will be messy, incomplete, and completely unusable without a little work. Trying to use jumbled data will only give you jumbled results. This chapter covers the most common issues you will come across and a few approaches to dealing with them.
Here, we will discuss the difference between duplicate data and redundant data, as well as what to do about it. Then, we will discuss why missing data is an issue and the different approaches you can take to deal with it. Briefly, ...
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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.