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An Introduction to Data Analysis using Aggregation Functions in R by Simon James (auth.) is a nonfiction available to read on EtoBox.
What is An Introduction to Data Analysis using Aggregation Functions in R about?
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 m
Who reads An Introduction to Data Analysis using Aggregation Functions in R?
It is typically read by self-directed learners exploring a subject in depth.
Common subject areas: history, science, philosophy, social sciences.
- Author
- Simon James (auth.)
- Publisher
- Springer International Publishing : Imprint : Springer
- Published
- 2016
- Language
- EN
- ISBN
- 9783319467610
- Category
- nonfiction
- Subjects
- Mathematics, Engineering, Science
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