Exploratory Data Analysis with MATLAB, 3rd ed., by Wendy L. Martinez, Angel R. Martinez, and Jeffrey L. Solka: 3rd ed.,by Wendy L. Martinez, Angel R. Martinez, and Jeffrey L. Solka. Boca Raton, FL: Chapman & Hall/CRC Press, 2017, xxv + 590 pp., $140.00(H), ISBN: 978-1-49-877606-6

It provides brief background of EDA, overview of the covered topics, description of four datasets used throughout the book, and several data transformation techniques. Exploratory data analysis (EDA), "numerical detective work" according to John W. Tukey, is a field in statistics, which explores, an...

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Detalles Bibliográficos
Publicado en:	American Statistician Vol. 76; no. 1; pp. 85 - 87
Autor principal:	Ni, Yang
Formato:	Book Review
Publicado:	Taylor & Francis Ltd Feb 2022
Materias:	Boca Raton (Fla.) Data analysis Independent component analysis Fisher discriminant analysis Probability density function Singular value decomposition Discriminant analysis
Acceso en línea:	Ver este registro en EBSCOhost

Descripción
Sumario:	It provides brief background of EDA, overview of the covered topics, description of four datasets used throughout the book, and several data transformation techniques. Exploratory data analysis (EDA), "numerical detective work" according to John W. Tukey, is a field in statistics, which explores, analyzes, and visualizes data without pre-specified hypotheses. Chapters 8-10 introduce various methods for visualizing clusters, univariate and multivariate densities, dependencies, summary statistics, and dimension reduction, with the primary focus on continuous data.