Statistical Data Cleaning with Applications in R
Language: English
Published by John Wiley & Sons Inc, 2018
- First Edition
- Hardcover
- New

Seller: Kennys Bookshop and Art Galleries Ltd., Galway, GY, IrelandKennys Bookshop and Art Galleries Ltd.
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Condition: New
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Add to basketItem description from seller
Num Pages: 450 pages. BIC Classification: UFM; UN. Category: (P) Professional & Vocational. Dimension: 244 x 170. . . 2018. 1st Edition. Hardcover. . . . .
Seller Inventory # V9781118897157
- Title
- Statistical Data Cleaning with Applications in R
- Author
- Mark van der Loo
- Publisher
- John Wiley & Sons Inc
- Publication year
- 2018
- Condition
- New
- Binding
- Hardcover
- Language
- English
- ISBN 10
- 1118897153
- ISBN 13
- 9781118897157
- Edition
- 1st Edition
A comprehensive guide to automated statistical data cleaning
The production of clean data is a complex and time-consuming process that requires both technical know-how and statistical expertise. Statistical Data Cleaning brings together a wide range of techniques for cleaning textual, numeric or categorical data. This book examines technical data cleaning methods relating to data representation and data structure. A prominent role is given to statistical data validation, data cleaning based on predefined restrictions, and data cleaning strategy.
Key features:
- Focuses on the automation of data cleaning methods, including both theory and applications written in R.
- Enables the reader to design data cleaning processes for either one-off analytical purposes or for setting up production systems that clean data on a regular basis.
- Explores statistical techniques for solving issues such as incompleteness, contradictions and outliers, integration of data cleaning components and quality monitoring.
- Supported by an accompanying website featuring data and R code.
This book enables data scientists and statistical analysts working with data to deepen their understanding of data cleaning as well as to upgrade their practical data cleaning skills. It can also be used as material for a course in data cleaning and analyses.
"Synopsis" may belong to another edition of this title.
About the Author
Mark van der Loo and Edwin de Jonge, Department of Statistical Methods, Statistics Netherlands, The Netherlands
"About the title" may belong to another edition of this title.
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