Search icon CANCEL
Subscription
0
Cart icon
Your Cart (0 item)
Close icon
You have no products in your basket yet
Arrow left icon
Explore Products
Best Sellers
New Releases
Books
Videos
Audiobooks
Learning Hub
Free Learning
Arrow right icon
Arrow up icon
GO TO TOP
Practical Data Wrangling

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

Arrow left icon
Product type Paperback
Published in Nov 2017
Publisher Packt
ISBN-13 9781787286139
Length 204 pages
Edition 1st Edition
Languages
Tools
Arrow right icon
Author (1):
Arrow left icon
Allan Visochek Allan Visochek
Author Profile Icon Allan Visochek
Allan Visochek
Arrow right icon
View More author details
Toc

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

Cleaning Numerical Data - An Introduction to R and RStudio

The philosophy behind the previous chapters leading up to this point has been to take a generalized programming approach to data wrangling. A good grasp of the underlying programming techniques involved in manipulating data gives you the ability to tackle non-standard problems in data wrangling when they are encountered.

However, a large number of tasks can be more concisely and elegantly expressed with a language specific to data manipulation. In many cases, the R environment and programming language can allow you to express more with less. On top of that, several packages built on top of R can make the language even more concise and expressive. In this chapter and the next, I will show you how R can be used to take a more formulated approach to data wrangling. This chapter will be an introduction to R with the application...

lock icon The rest of the chapter is locked
Register for a free Packt account to unlock a world of extra content!
A free Packt account unlocks extra newsletters, articles, discounted offers, and much more. Start advancing your knowledge today.
Unlock this book and the full library FREE for 7 days
Get unlimited access to 7000+ expert-authored eBooks and videos courses covering every tech area you can think of
Renews at $19.99/month. Cancel anytime
Banner background image