Clean Data
Clean Data
Published on 25. May 2015
Book
Paperback/Softback
272 pages
978-1-78528-401-4 (ISBN)
Description
Key Features
Book DescriptionWhat you will learn
Who this book is for
Book DescriptionWhat you will learn
Who this book is for
More details
Language
English
Place of publication
Birmingham
United Kingdom
Dimensions
Height: 235 mm
Width: 191 mm
Thickness: 15 mm
Weight
514 gr
ISBN-13
978-1-78528-401-4 (9781785284014)
Copyright in bibliographic data and cover images is held by Nielsen Book Services Limited or by the publishers or by their respective licensors: all rights reserved.
Schweitzer Classification
Person
Megan Squire is a professor of computing sciences at Elon University. Her primary research interest is in collecting, cleaning, and analyzing data about how free and open source software is made. She is one of the leaders of the FLOSSmole.org, FLOSSdata.org, and FLOSSpapers.org projects.
Content
Table of Contents
"Why Do You Need Clean Data?"
"The Fundamentals: Types Encoding and Formats"
"Workhorses of Clean Data: Text Editors and Spreadsheets"
"Speaking the Lingua Franca: Data Conversion -"
"Collecting and Cleaning Data from the Web"
"Cleaning Data Stored in PDFs"
"Cleaning Data in RDBMS"
Best Practices for Sharing Your Clean Data
"Stack Overflow Project"
"Twitter Project"
"Why Do You Need Clean Data?"
"The Fundamentals: Types Encoding and Formats"
"Workhorses of Clean Data: Text Editors and Spreadsheets"
"Speaking the Lingua Franca: Data Conversion -"
"Collecting and Cleaning Data from the Web"
"Cleaning Data Stored in PDFs"
"Cleaning Data in RDBMS"
Best Practices for Sharing Your Clean Data
"Stack Overflow Project"
"Twitter Project"