Name: Statistical Data Cleaning With Applications In R (en Inglés)
Price: 107080.00 CLP
Availability: InStock
Author: Mark van der Loo
ISBN: 9781118897157

portada Statistical Data Cleaning With Applications In R (en Inglés)

Formato

Libro Físico

Editorial

JOHN WILEY & SONS INC

Autor

Mark van der Loo

Idioma

Inglés

N° páginas

320

Encuadernación

Tapa Dura

ISBN13

9781118897157

Categorías

Data mining: minería de datos

Statistical Data Cleaning With Applications In R (en Inglés)

Mark Van Der Loo (Autor) · JOHN WILEY & SONS INC · Tapa Dura

Libro Físico

$ 107.080

$ 178.470

Ahorras: $ 71.390

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Origen: Reino Unido (Costos de importación incluídos en el precio)

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Reseña del libro "Statistical Data Cleaning With Applications In R (en Inglés)"

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.