April 2015
Beginner to intermediate
504 pages
8h 36m
English
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Chapter 7. Tidying Up Your Data
Data analysis typically flows in a processing pipeline that starts with retrieving data from one or more sources. Upon receipt of this data, it is often the case that it can be in a raw form and can be difficult to use for data analysis. This can be for a multitude of reasons such as data is not recorded, it is lost, or it is just in a different format than what you require.
Therefore, one of the most common things you will do with pandas involves tidying your data, which is the process of preparing raw data for analysis. Showing you how to use various features of pandas to get raw data into a tidy form is the focus of this chapter.
In this chapter, you will learn:
- The concept of tidy data
- How pandas represents unknown ...
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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.