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5 de mar. de 2020 · English. xvi, 688 pages : 25 cm. 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.
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. According to Tukey, J.W., exploratory data analysis is similar to detective work.
John W. Tukey wrote the book Exploratory Data Analysis in 1977. Tukey held that too much emphasis in statistics was placed on statistical hypothesis testing (confirmatory data analysis); more emphasis needed to be placed on using data to suggest hypotheses to test.
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.
1 de jan. de 2014 · Exploratory data analysis (EDA) is a term first utilized by John Tukey ( 1977 ), and is intended to contrast with the more traditional statistical approach to data analysis that starts with hypothesis testing and model building.
- Kate Smith-Miles
Key words and phrases: Analysis of variance, exploratory data analysis, regression. 1. INTRODUCTION To many in statistics and other fields John Tukey may be best known for Exploratory Data Analysis (EDA), which first appeared in print in 1970, but data analysis played a major role in his work from early on. Indeed, I don't think it would be an ...
Exploratory Data Analysis. John Tukey. Pearson, Apr 18, 2019 - Mathematics - 720 pages. This title is part of the Pearson Modern Classics series. Pearson Modern Classics are acclaimed...
