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Exploratory Data Analysis
Exploratory Data Analysis
3 questions
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Exploratory Data Analysis (EDA) is the first step in any data project. Which practice is most important early on?
Hide and think first
A.
Normalizing all features to have mean 0 and variance 1 as the first preprocessing step
B.
Immediately fitting a complex model (gradient boosting or neural network) to see baseline performance
C.
Plotting distributions, checking missingness, and sanity-checking ranges before any modeling
D.
Calculating the p-value of every possible hypothesis test to identify significant features
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