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Paperback or Softback. Condition: New. An Introduction to Data Analysis Using Aggregation Functions in R 0.67. Book.
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An Introduction to Data Analysis using Aggregation Functions in R
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Introduction to Data Analysis Using Aggregation Functions in R
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Introduction to Data Analysis Using Aggregation Functions in R
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An Introduction to Data Analysis using Aggregation Functions in R
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Introduction to Data Analysis Using Aggregation Functions in R
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An Introduction to Data Analysis using Aggregation Functions in R
Published by Springer International Publishing, Springer International Publishing Jun 2018, 2018
ISBN 10: 3319835793 ISBN 13: 9783319835792
Language: English
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Add to basketTaschenbuch. Condition: Neu. Neuware -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.Springer Verlag GmbH, Tiergartenstr. 17, 69121 Heidelberg 212 pp. Englisch.
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An Introduction to Data Analysis using Aggregation Functions in R
Published by Springer International Publishing, Springer International Publishing, 2018
ISBN 10: 3319835793 ISBN 13: 9783319835792
Language: English
US$ 64.47
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Add to basketTaschenbuch. Condition: Neu. Druck auf Anfrage Neuware - Printed after ordering - 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 emphasison 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.
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An Introduction to Data Analysis using Aggregation Functions in R
Published by Springer International Publishing, Springer International Publishing Nov 2016, 2016
ISBN 10: 3319467611 ISBN 13: 9783319467610
Language: English
Seller: buchversandmimpf2000, Emtmannsberg, BAYE, Germany
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Add to basketBuch. Condition: Neu. Neuware -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.Springer Verlag GmbH, Tiergartenstr. 17, 69121 Heidelberg 212 pp. Englisch.
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An Introduction to Data Analysis using Aggregation Functions in R
Published by Springer International Publishing, 2016
ISBN 10: 3319467611 ISBN 13: 9783319467610
Language: English
US$ 96.72
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Add to basketBuch. Condition: Neu. Druck auf Anfrage Neuware - Printed after ordering - 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 emphasison 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.
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Add to basketHardcover. Condition: Brand New. 212 pages. 9.25x6.25x0.75 inches. In Stock.
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Introduction to Data Analysis Using Aggregation Functions in R
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An Introduction to Data Analysis using Aggregation Functions in R
Published by Springer International Publishing, 2016
ISBN 10: 3319467611 ISBN 13: 9783319467610
Language: English
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An Introduction to Data Analysis using Aggregation Functions in R
Published by Springer International Publishing Jun 2018, 2018
ISBN 10: 3319835793 ISBN 13: 9783319835792
Language: English
Seller: BuchWeltWeit Ludwig Meier e.K., Bergisch Gladbach, Germany
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Add to basketTaschenbuch. Condition: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -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. 212 pp. Englisch.
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An Introduction to Data Analysis using Aggregation Functions in R
Published by Springer International Publishing, 2018
ISBN 10: 3319835793 ISBN 13: 9783319835792
Language: English
US$ 56.93
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Add to basketCondition: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. Provides an overview of aggregation functionsIncludes hands-on tutorials on how to program the functions covered in R without needing extensive programming coursesDoes not assume a mathematics backg.
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An Introduction to Data Analysis using Aggregation Functions in R
Published by Springer International Publishing Nov 2016, 2016
ISBN 10: 3319467611 ISBN 13: 9783319467610
Language: English
Seller: BuchWeltWeit Ludwig Meier e.K., Bergisch Gladbach, Germany
Seller rating 5 out of 5 stars
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Convert currencyUS$ 26.92 shipping from Germany to U.S.A.Quantity: 2 available
Add to basketBuch. Condition: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -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. 212 pp. Englisch.
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