Using . . . . . . . . on categorical data will produce similar output to a Series or DataFrame of type string.

The correct answer is: B. .describe()

The .describe() method returns a Series with the following columns:

• count: The number of non-null values in the Series.
• mean: The arithmetic mean of the values in the Series.
• std: The standard deviation of the values in the Series.
• min: The minimum value in the Series.
• max: The maximum value in the Series.
• 25%: The 25th percentile of the values in the Series.
• 50%: The 50th percentile of the values in the Series, also known as the median.
• 75%: The 75th percentile of the values in the Series.
• kurtosis: The kurtosis of the values in the Series.
• skewness: The skewness of the values in the Series.

For categorical data, the .describe() method will return a Series with the following columns:

• count: The number of unique values in the Series.
• unique: A list of the unique values in the Series.
• top: The top 5 most common values in the Series.
• freq: The frequency of each unique value in the Series.

The .rank() method returns a Series with the ranks of the values in the Series. The ranks are assigned in ascending order, with the lowest value being ranked 1 and the highest value being ranked n, where n is the number of values in the Series.

The .desc() method returns a Series with the values in the Series in descending order.

Therefore, the .describe() method is the only method that will produce similar output to a Series or DataFrame of type string for categorical data.