Book Image

Practical Data Wrangling

By : Allan Visochek
Book Image

Practical Data Wrangling

By: Allan Visochek

Overview of this book

Around 80% of time in data analysis is spent on cleaning and preparing data for analysis. This is, however, an important task, and is a prerequisite to the rest of the data analysis workflow, including visualization, analysis and reporting. Python and R are considered a popular choice of tool for data analysis, and have packages that can be best used to manipulate different kinds of data, as per your requirements. This book will show you the different data wrangling techniques, and how you can leverage the power of Python and R packages to implement them. You’ll start by understanding the data wrangling process and get a solid foundation to work with different types of data. You’ll work with different data structures and acquire and parse data from various locations. You’ll also see how to reshape the layout of data and manipulate, summarize, and join data sets. Finally, we conclude with a quick primer on accessing and processing data from databases, conducting data exploration, and storing and retrieving data quickly using databases. The book includes practical examples on each of these points using simple and real-world data sets to give you an easier understanding. By the end of the book, you’ll have a thorough understanding of all the data wrangling concepts and how to implement them in the best possible way.
Table of Contents (16 chapters)
Title Page
About the Author
About the Reviewer
Customer Feedback

Logistical overview

Each of the chapters will begin with a logistical overview, detailing the projects involved in the chapter, installation requirements, the file system setup for the projects and other useful details. These initial Logistical Overview sections will help you to get set up to follow along with the chapter.  

In this chapter, I will walk through the creation of one Python program called I will walk through the steps of creating the python program at the beginning of the chapter.

I will also introduce an interface for executing python commands directly called the terminal. Using the terminal, I will demonstrate several elementary programming concepts. 

The finished product for the python program, as well as a program containing all of the terminal commands is available in the code folder of the external resources at

Installation requirements

For this chapter, you will need the following:

  • Atom, an open source text editor created by GitHub
  • The...