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Python Data Science Essentials

You're reading from   Python Data Science Essentials Learn the fundamentals of Data Science with Python

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Product type Paperback
Published in Oct 2016
Last Updated in Feb 2025
Publisher Packt
ISBN-13 9781786462138
Length 378 pages
Edition 2nd Edition
Languages
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Authors (2):
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Alberto Boschetti Alberto Boschetti
Author Profile Icon Alberto Boschetti
Alberto Boschetti
Luca Massaron Luca Massaron
Author Profile Icon Luca Massaron
Luca Massaron
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Toc

Chapter 2. Data Munging

We are just getting into action with data! In this chapter, you'll learn how to munge data. What does munging data imply?

The term munge is a technical term coined about half a century ago by the students of the Massachusetts Institute of Technology (MIT). Munging means to change, in a series of well-specified and reversible steps, a piece of original data to a completely different (and hopefully more useful) one. Deep-rooted in hacker culture, munging is often described in the data science pipeline using other, almost synonymous, terms such as data wrangling or data preparation. It is a very important part of the data engineering pipeline.

Starting from this chapter, we will start mentioning more jargon and technicalities taken from the fields of probability and statistics (such as probability distributions, descriptive statistics, and hypothesis testing). Unfortunately, we cannot explain all of them in detail since our main purpose is to provide you...

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Python Data Science Essentials
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Published in: Oct 2016
Publisher: Packt
ISBN-13: 9781786462138
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