Why is EDA considered a crucial step before proceeding with Confirmatory Data Analysis (CDA)?

Because EDA helps to formulate hypotheses that can be tested in CDA
Because EDA involves applying ML models to the data
Because EDA is a requirement for most regulatory bodies
Because EDA results in a finalized data report

EDA is considered a crucial step before proceeding with CDA because it helps to formulate hypotheses that can be tested in CDA. EDA involves exploring the data to understand its main characteristics and patterns, which can then inform the formulation of hypotheses in the confirmatory phase.

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