I am a little confused here, seems like both use same/similar techniques. Is here a difference at all or it is the same??

Can someone clarify? Thanks

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    $\begingroup$ Tukey's original word was exploratory. He coined the phrase exploratory data analysis. I think I've seen exploratory thousands of times, explorative in one book, but your reading may well be different. $\endgroup$
    – Nick Cox
    Commented May 9 at 7:38

1 Answer 1


Both are synonyms – terms used for the application of statistical techniques to identify patterns such as anomalies, missing values, nature of variables, etc., in underlying data. It is typically the step within a machine learning pipeline which suceeds data cleaning and precedes data preparation.

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    $\begingroup$ This doesn't seem quite correct, because the (clear, detailed) descriptions of data profiling at sites like ibm.com/topics/data-profiling indicate that although it overlaps a little with EDA, it has different aims and uses different techniques. Briefly, EDA is about getting insight from data while data profiling is about assessing and managing data quality. $\endgroup$
    – whuber
    Commented Jan 8 at 14:18

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