Описание: Three customer experience experts provide executives and senior managers with cost-effective, sustainable methods for creating a superior customer experience--which generates heightened profitability in the age of rapid information flows and expanding customer expectations.
Название: Cleaning Techniques Normandin ISBN: 1873394748 ISBN-13(EAN): 9781873394748 Издательство: Taylor&Francis Рейтинг: Цена: 4234 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: Published as a special issue of the "Journal of Architectural Conservation", this book presents the research and developments in the cleaning of buildings, sculpture and monuments. It covers both wet and dry micro abrasive systems, other types of abrasives, laser cleaning methods and proprietary poultices for specialized applications.
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.
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.
Описание: The only how-to guide offering a unified, systemic approach to acquiring, cleaning, and managing data in R Every experienced practitioner knows that preparing data for modeling is a painstaking, time-consuming process.
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