Exploratory data analysis: Difference between revisions

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'''Exploratory data analysis (EDA)''' is that part of [[statistical practice]] concerned with reviewing, communicating and using [[data]] where there is a low level of knowledge about its [[cause system]]. It was so named by [[John Tukey]]. Many '''EDA''' techniques have been adopted into [[data mining]].

Tukey held that too much emphasis in [[statistics]] was placed on evaluating and testing given [[hypothesis|hypotheses]] ([[confirmatory data analysis]]) and that the balance was in need of redressing in favour of using [[data]] to suggest [[hypothesis|hypotheses]] to test. In particular, confusion of the two types of analysis and employing them on the same set of data can lead to [[bias (statistics)|bias]] owing to the effectissues ofendemic in [[testing hypotheses suggested by the data]].

The objectives of EDA are to: