24/25_DS_UNIT II_QUIZ 2

What does the pandas head method do?

• Returns the first n rows of a DataFrame.

• Returns the last n rows of a DataFrame.

• Returns a summary of the DataFrame statistics.

• Returns the shape of the DataFrame.

Explain the purpose of the pandas tail method.

• The purpose of the pandas tail method is to view the last n rows of a DataFrame or Series.

• The pandas tail method is used to sort the DataFrame in ascending order.

• It is used to filter rows based on a specific condition.

• The purpose of the pandas tail method is to return the first n rows of a DataFrame.

How can you obtain a concise summary of a pandas DataFrame using the info method?

• df.info()

• df.head()

• df.describe()

• df.shape()

What does the pandas column method return?

• Dataframe object

• Series object

• Dictionary

• List

Describe the functionality of the pandas describe method.

• The pandas describe method provides summary statistics of the numerical columns in a DataFrame.

• The pandas describe method provides visualizations of the data in a DataFrame.

• The pandas describe method only works on string columns in a DataFrame.

• The pandas describe method can only be used on small datasets.

What does the shape attribute of a pandas DataFrame represent?

• Type of data in the DataFrame

• Number of rows in the DataFrame

• Color of the DataFrame

• Dimensions of the DataFrame

How can you find the unique values in a pandas Series?

• series.unique_values()

• series.get_unique()

• series.distinct()

• series.unique()

Explain the use of the count method in pandas.

• The count method in pandas is used to count non-NA/null values in a Series or DataFrame.

• The count method in pandas is used to sort values in a Series or DataFrame.

• The count method in pandas is used to calculate the mean of a Series or DataFrame.

• The count method in pandas is used to filter out duplicate values in a Series or DataFrame.

When would you use the unique method in pandas?

• To calculate the mean of a Series

• To sort values in ascending order

• To identify unique values in a Series or DataFrame.

• To count the number of missing values in a DataFrame

What information does the count method provide in pandas?

• Sum of all observations

• Total number of observations

• Average of all observations

• Number of non-NA/null observations