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New. New Book; Fast Shipping from UK; Not signed; Not First Edition; The An Introduction to Data Analysis using Aggregation Functions in R.
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An Introduction to Data Analysis Using Aggregation Functions in R Brochura - 2018
por Simon James
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This textbook helps future data analysts comprehend aggregation function theory and methods in an accessible way, focusing on a fundamental understanding of the data and summarization tools. Offering a broad overview of recent trends in aggregation research, it complements any study in statistical or machine learning techniques. Readers will learn how to program key functions in R without obtaining an extensive programming background.
Sections of the textbook cover background information and context, aggregating data with averaging functions, power means, and weighted averages including the Borda count. It explains how to transform data using normalization or scaling and standardization, as well as log, polynomial, and rank transforms. The section on averaging with interaction introduces OWS functions and the Choquet integral, simple functions that allow the handling of non-independent inputs. The final chapters examine software analysis with an emphasis on parameter identification rather than technical aspects.
This textbook is designed for students studying computer science or business who are interested in tools for summarizing and interpreting data, without requiring a strong mathematical background. It is also suitable for those working on sophisticated data science techniques who seek a better conception of fundamental data aggregation. Solutions to the practice questions are included in the textbook.
Sections of the textbook cover background information and context, aggregating data with averaging functions, power means, and weighted averages including the Borda count. It explains how to transform data using normalization or scaling and standardization, as well as log, polynomial, and rank transforms. The section on averaging with interaction introduces OWS functions and the Choquet integral, simple functions that allow the handling of non-independent inputs. The final chapters examine software analysis with an emphasis on parameter identification rather than technical aspects.
This textbook is designed for students studying computer science or business who are interested in tools for summarizing and interpreting data, without requiring a strong mathematical background. It is also suitable for those working on sophisticated data science techniques who seek a better conception of fundamental data aggregation. Solutions to the practice questions are included in the textbook.
Detalhes
- Título An Introduction to Data Analysis Using Aggregation Functions in R
- Autor Simon James
- Encadernação Brochura
- Páginas 199
- Volumes 1
- Idioma ENG
- Editorial Springer
- Data de publicação 2018-06-29
- Ilustrado Sim
- Features Illustrated
- ISBN 9783319835792 / 3319835793
- Peso 0.67 libras (0.30 kg)
- Dimensão 9.21 x 6.14 x 0.45 in. (23.39 x 15.60 x 1.14 cm)
- Dewey Decimal Code 004.015
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An Introduction to Data Analysis using Aggregation Functions in R
por Simon James
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- 9783319835792 / 3319835793
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An Introduction to Data Analysis using Aggregation Functions in R
por Simon James
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- ISBN 10 / ISBN 13
- 9783319835792 / 3319835793
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Paperback / softback. New. This textbook helps future data analysts comprehend aggregation function theory and methods in an accessible way, focusing on a fundamental understanding of the data and summarization tools.
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€ 70,15
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An Introduction to Data Analysis using Aggregation Functions in R
por James, Simon
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- 9783319835792 / 3319835793
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paperback. Good. Access codes and supplements are not guaranteed with used items. May be an ex-library book.
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