Statistical data cleaning with applications in R

The production of clean data is a complex and time-consuming process that requires both technical know-how and statistical expertise. This book examines technical data cleaning methods relating to data representation and data structure. A prominent role is given to statistical data validation, data...

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Bibliographic Details
Main Authors: Loo, Mark van der (Author), Jonge, Edwin de (Author)
Format: Book
Language:English
Published: Hoboken, NJ John Wiley & Sons, Inc. 2018
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020 |a 9781118897157 (hardcover) 
020 |a 1118897153 (hardcover) 
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040 |a UPNM  |b eng  |c UPNM  |e rda 
090 |a QA 276.45.R3  |b L66 2018 
100 1 |a Loo, Mark van der,  |e author. 
245 1 0 |a Statistical data cleaning with applications in R  |c Mark van der Loo, Edwin de Jonge. 
264 1 |a Hoboken, NJ  |b John Wiley & Sons, Inc.  |c 2018 
300 |a xiii, 300 pages  |b illustrations  |c 25 cm. 
336 |a text  |2 rdacontent 
337 |a unmediated  |2 rdamedia 
338 |a volume  |2 rdacarrier 
504 |a Includes bibliographical references and index. 
520 |a The production of clean data is a complex and time-consuming process that requires both technical know-how and statistical expertise. 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. 
592 |a 00102/HL/2019(751)  |b 22/10/2019  |c RM 388.08  |h Han Lin 
650 0 |a Statistics  |x Data processing. 
650 0 |a R (Computer program language) 
700 1 |a Jonge, Edwin de,  |e author. 
999 |a vtls000063387  |c 53666  |d 53666