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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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 Visochek Visochek
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Visochek
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Toc

Table of Contents (16) Chapters Close

Title Page
Credits
About the Author
About the Reviewer
www.PacktPub.com
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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


This chapter was a basic overview of the steps involved in programmatically processing data files. To recap, I first introduced file I/O and demonstrated how the Python programming language interacts with the computer's filesystem. Then, I showed how a Python file object is used with the json module to read and parse a JSON files. Following this, I walked through a basic demonstration to show how you might go about exploring the contents of a data file. Once all of this was covered, I showed how to conduct some basic data modification steps. Finally, I showed how to write data to an output file.

A particular emphasis in this chapter was placed on the process of opening, parsing data and writing the result to the output. Using some frameworks like R and Pandas opening reading and writing files is more straight forward. Future chapters will focus more on the exploration and modification steps and much less on the specifics of inputting and outputting data. Understanding how to interact...

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