Which of the following code blocks returns a collection of summary statistics for all columns in DataFrame storesDF?

Question

Options

• AstoresDF.summary("mean")
• BstoresDF.describe(all = True)
• CstoresDF.describe("all")
• DstoresDF.summary("all")
• EstoresDF.describe()

• A
  2% (1)
• B
  7% (4)
• C
  2% (1)
• D
  3% (2)
• E
  87% (53)

Explanation

storesDF.describe() called with no arguments returns a summary DataFrame containing count, mean, standard deviation, min, and max for all columns (numeric and string). Options A–D are all invalid: summary("mean") returns only the mean statistic, not a full summary; describe(all=True) is not a valid parameter signature; describe("all") interprets "all" as a column name, which would fail unless a column named 'all' exists; and summary("all") is not a valid statistic name for the summary() method. Option E is the only call that correctly returns comprehensive summary statistics for all columns.

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