Statistical Data Cleaning with Applications in R

Name: Statistical Data Cleaning with Applications in R
Brand: Unknown
SKU: 9781118897157
Price: 157.99 NZD
Availability: InStock

By Mark van der Loo and Edwin de Jonge

0.0 (0 reviews)

Summary

Statistical Data Cleaning with Applications in R by Mark van der Loo and Edwin de Jonge delves into techniques and best practices for cleaning and preparing data for analysis. It is a practical guide that covers common data issues and demonstrates solutions using the R programming language. This book is ideal for those looking to understand the intricacies of data cleaning to enhance the accuracy and reliability of their analyses in computing and technology.
Read More

Format: Hardback

$157⁹⁹

AVAILABLE WITH SUPPLIER Ships from our Auckland warehouse within 3-4 weeks

Found a better price? Request a price match

Statistical Data Cleaning with Applications in R

$157⁹⁹

Book Hero Magic created this recommendation. While it's new and still learning, it may not be perfect - your feedback is welcome! IS THIS YOUR NEXT READ?

This book may appeal to you if you are interested in mastering the art and science of statistical data cleaning, especially using R. It offers practical insights and techniques to ensure data accuracy and reliability, making it an invaluable resource for data analysts and computer scientists in the field.

Statistical Data Cleaning with Applications in R

Description

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 with Applications in R 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.

Book Details

INFORMATION

ISBN: 9781118897157

Publisher: John Wiley & Sons Inc

Format: Hardback

Date Published: 30 March 2018

Country: United States

Imprint: John Wiley & Sons Inc

Audience: Professional and scholarly

DIMENSIONS

Spine width: 23.0mm

Width: 175.0mm

Height: 244.0mm

Weight: 635g

Pages: 320

Collections

Computing & Technology Education & Reference Edwin de Jonge Mark van der Loo Non-Fiction

About the Author

Mark van der Loo and Edwin de Jonge, Department of Statistical Methods, Statistics Netherlands, The Netherlands