Answer-first summary for fast verification
Answer: Execute Python Script, Summarize Data
The question requires generating a statistical summary that includes both p-value and unique count for each feature column. The 'Summarize Data' module provides a comprehensive statistical summary including unique count, mean, standard deviation, quartiles, and percentiles (though the question incorrectly mentions 'p-value' instead of percentiles, as noted in the community discussion). However, to calculate actual p-values (for hypothesis testing), Azure ML Studio does not have a built-in module, so the 'Execute Python Script' module must be used to write custom code for p-value computation. The community consensus strongly supports CE, with high upvotes for comments explaining that 'Summarize Data' covers unique counts and basic statistics, while 'Execute Python Script' is necessary for p-values. Other options are unsuitable: 'Compute Linear Correlation' (A) focuses on correlation coefficients, not p-values or unique counts; 'Export Count Table' (B) only provides unique counts, not p-values; 'Convert to Indicator Values' (D) is for encoding categorical data, not statistical summaries.
Author: LeetQuiz Editorial Team
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You are analyzing a dataset in Azure Machine Learning Studio. You need to generate a statistical summary that includes the p-value and the unique value count for each feature column.
Which two modules should you use? Each correct answer presents a complete solution.
NOTE: Each correct selection is worth one point.
A
Computer Linear Correlation
B
Export Count Table
C
Execute Python Script
D
Convert to Indicator Values
E
Summarize Data
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