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5 de mar. de 2020 · This book serves as an introductory text for exploratory data analysis. It exposes readers and users to a variety of techniques for looking more effectively at data. The emphasis is on general techniques, rather than specific problems. On spine: EDA. Includes bibliographical references (page 666) and index.
Exploratory data analysis is a set of techniques that have been principally developed by Tukey, John Wilder since 1970. The philosophy behind this approach is to examine the data before applying a specific probability model.
Exploratory data analysis has been promoted by John Tukey since 1970 to encourage statisticians to explore the data, and possibly formulate hypotheses that could lead to new data collection and experiments.
Exploratory Data Analysis 1st Edition by John Tukey (PDF) 107. Ebook Info. Published: 2010. Number of pages: 712 pages. Format: PDF. File Size: 7.24 MB. Authors: John Tukey. Description. The approach in this introductory book is that of informal study of the data.
Some people know him best for exploratory data analysis, which he pioneered, but he also made key contributions in analysis of variance, in regression and through a wide range of applications. This paper reviews illustrative contributions in these areas. Key words and phrases: Analysis of variance, exploratory data analysis, regression. 1 ...
Exploratory data analysis (EDA), pioneered by John W. Tukey (1915–2000), introduces a variety of innovative techniques and combines them with five important principles of data analysis: display, re-expression, residuals, resistance, and iteration.
Interactive Data Analysis is built around a set of computer programs implementing various exploratory methods and the use of these programs is illustrated in a sequence of examples.
