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Practical Data Wrangling

You're reading from   Practical Data Wrangling Expert techniques for transforming your raw data into a valuable source for analytics

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Product type Paperback
Published in Nov 2017
Publisher Packt
ISBN-13 9781787286139
Length 204 pages
Edition 1st Edition
Languages
Tools
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Author (1):
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 Visochek Visochek
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Visochek
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Table of Contents (16) Chapters Close

Title Page
Credits
About the Author
About the Reviewer
www.PacktPub.com
Customer Feedback
Preface
1. Programming with Data FREE CHAPTER 2. Introduction to Programming in Python 3. Reading, Exploring, and Modifying Data - Part I 4. Reading, Exploring, and Modifying Data - Part II 5. Manipulating Text Data - An Introduction to Regular Expressions 6. Cleaning Numerical Data - An Introduction to R and RStudio 7. Simplifying Data Manipulation with dplyr 8. Getting Data from the Web 9. Working with Large Datasets

 Summary


In this chapter, we went through the basics of Python programming, but we've also started to cover conceptually some of the fundamentals to create, store, and work with data. If you've made it this far, give yourself a pat on the back. You've successfully created your first program and learned the syntax of the Python programming language.

In the next chapter, you will take some of these principals to the next level to continue your data wrangling journey. I will talk first about modules, which allow you to add previously written code with additional functionality to our program. You will use modules to read from and write to different files, or conduct file I/O. I will cover the usage of for statements to iterate through the entries of a dataset, and basic methods to analyze and modify the data. Finally, I will cover functions that allow us to create blocks of code that we can run several times.

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