| Exploratory Data Analysis |
Article Index for Exploratory |
Website Links For Data Analysis |
Information AboutExploratory Data Analysis |
| CATEGORIES ABOUT EXPLORATORY DATA ANALYSIS | |
| statistics | |
|
EDA DEVELOPMENT 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. In particular, he held that confusion of the two types of analysis and employing them on the same set of data can lead to Systematic Bias owing to the issues endemic in Testing Hypotheses Suggested By The Data . The objectives of EDA are to:
Tukey's books were notoriously opaque, and so several attempts were made to popularise his EDA ideas. Prominent among these was the Statistics In Society (MDST242) course of The Open University . Many EDA techniques have been adopted into Data Mining and are being taught to young students as a way to introduce them to statistical thinking. TECHNIQUES There are a number of tools that are useful for EDA, but EDA is defined more by the attitude taken than the techniques used."Exploratory data analysis is an attitude, a flexibility, and a reliance on display, NOT a bundle of techniques, and should be so taught.", John W. Tukey, We Need Both Exploratory and Confirmatory, The American Statistician, Vol. 34, No. 1 (Feb., 1980), pp. 23-25. The principal Graph ical techniques used in EDA are: The principal Quantitative techniques are: Graphical and quantitative techniques are: HISTORY Many EDA ideas can be traced back to earlier authors, for example:
The Open University course ''Statistics in Society'' (MDST 242), took the above ideas, and merged them with Gottfried Noether 's work, which introduced Statistical Inference via coin-tossing and the Median Test . For details of the above, see John Bibby 's book ''HOTS: History of Teaching Statistics''. SOFTWARE
SEE ALSO BIBLIOGRAPHY
REFERENCES
EXTERNAL LINKS
|
|
|