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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

Product type Paperback

Published in Nov 2017

Publisher Packt

ISBN-13 9781787286139

Length 204 pages

Edition 1st Edition

Languages

Python

Tools

RStudio

Concepts

Data Analysis

Author (1):

Allan Visochek

View More author details

Table of Contents (10) Chapters

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

External resources

Not everything can fit in to this book and some material is subject to change. I've made a number of resources available on the internet including the following:

Installation instructions and guidelines
Datasets for the exercises in the chapters
Code from the exercises in the chapters
Links to documentation, further reading, and other useful resources

All external resources are available in a shared Google Drive folder at https://goo.gl/8S58ra.

The rest of the chapter is locked

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Authors (1)

Visochek

Visochek

Allan Visochek is a freelance web developer and data analyst in New Haven, Connecticut. Outside of work, Allan has a deep interest in machine learning and artificial intelligence. Allan thoroughly enjoys teaching and sharing knowledge. After graduating from the Udacity Data Analyst Nanodegree program, he was contracted to Udacity for several months as a forum mentor and project reviewer, offering guidance to students working on data analysis projects. He has also written technical content for LearnToProgram.

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