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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.
John Wilder Tukey ( / ˈtuːki /; June 16, 1915 – July 26, 2000) was an American mathematician and statistician, best known for the development of the fast Fourier Transform (FFT) algorithm and box plot. [2] . The Tukey range test, the Tukey lambda distribution, the Tukey test of additivity, and the Teichmüller–Tukey lemma all bear his name.
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John W. Tukey. Addison-Wesley Publishing Company, Reading, Mass., 1977 - Mathematics - 704 pages. This book serves as an introductory text for exploratory data analysis. It exposes...
Two such. books will be discussed below. What is exploratory data analysis? Tukey distinguishes between exploration and confirmation, a distinction closely paralleling that between descriptive and inferential statistics.
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.
