Statistical Data Cleaning with Applications in R
Author: Mark van der LooPublisher:  WileyISBN-10:  1118897153ISBN-13:  978-1118897157
A comprehensive guide to automated 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 technical data cleaning methods Relating to data representation and data structure. A prominent role is given to a mere 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 techniques for solving issues such as incompleteness, contradictions and outliers, integration of data cleaning components and quality monitoring.Supported by an toilet website featuring data and R code.This book enabled data scientists and intensive analysts working with data to deepen their understanding of data cleaning as well as upgrade their practical data cleaning skills. It can also be used as material for a course in data cleaning and analyses.