Basic Programming Unit Test 12 of 2612 of 26 Items Question Which of the following correctly matches a function to its purpose?(1 point) Responses data.describe() displays the type of data in each column data.describe() displays the type of data in each column data["column"].value_counts() displays the number of columns data["column"].value_counts() displays the number of columns data.info() displays the count, mean, min, max, standard deviation, and quartiles for all numerical data data.info() displays the count, mean, min, max, standard deviation, and quartiles for all numerical data data.shape() displays the number of rows and columns in the data data.shape() displays the number of rows and columns in the data Skip to navigation page 1 of 1

Answer 1

The correct match of a function to its purpose from the options you've provided is as follows:

• data.describe() displays the count, mean, min, max, standard deviation, and quartiles for all numerical data.

The other options are incorrect as follows:

• data.describe() does not display the type of data in each column; that is done by data.dtypes or data.info().
• data["column"].value_counts() displays the number of unique values in "column", not the number of columns.
• data.info() provides a summary of the DataFrame, including the types of data and non-null counts but does not calculate descriptive statistics like mean or standard deviation.
• data.shape (not data.shape()) is an attribute that displays the number of rows and columns in the DataFrame.

So, the only correct response that accurately reflects the function's purpose is:

• data.describe() displays the count, mean, min, max, standard deviation, and quartiles for all numerical data.