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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
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Author (1):
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Allan Visochek Allan Visochek
Author Profile Icon Allan Visochek
Allan Visochek
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Table of Contents (10) Chapters Close

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

Manipulating Text Data - An Introduction to Regular Expressions

Previous chapters have dealt with data manipulation of data on a macroscopic level, without much emphasis on the values in each data entry. In other words, the content up until this point has focused with processing datasets as a whole.

In these next two chapters, I will discuss data wrangling on a more microscopic level, placing emphasis on the individual values of the dataset. This chapter will be about working with text data. In this chapter, I will introduce and discuss the use of regular expressions to recognize patterns in strings. After a brief introduction of regular expressions, I will demonstrate a specific application of regular expressions in a project to extract street names from a dataset containing addresses.

This chapter will include the following sections:

  • Logistical overview
  • ...
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