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

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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

What you need for this book

You will need a Python 3 installation on your computer, and you will need to be able to execute Python from your operating system’s command-line interface. In addition, the following external Python modules will be used:

pandas (Chapters 4 and 5)
requests (Chapter 8)
PyMongo (Chapter 9)

For Chapter 9, you will need to install MongoDB and set up your own local MongoDB server.
For Chapters 6 and 7, you will need RStudio and Rbase. Additionally, for Chapter 7, you will need the dplyr and tibble libraries.

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Authors (1)

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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