Data Analytics Using Python

Which library is most commonly used for data manipulation and analysis in Python?

• NumPy

• Matplotlib

• Pandas

• SciPy

What is the primary data structure used in the Pandas library for data manipulation?

• Array

• DataFrame

• Series

• List

Which command is used to install Pandas?

• pip install pandas

• install pandas

• pandas install

• pip setup pandas

What does df.head() do in a Pandas DataFrame?

• Displays the last 5 rows

• Displays all rows

• Displays the first 5 rows

• Deletes the first 5 rows

Which function is used to calculate the mean of a DataFrame column?

• df.median()

• df.mean()

• df.sum()

• df.mode()

In Pandas, what does df.info() provide?

• Summary statistics of the DataFrame

• Data type and non-null values information

• The first few rows of the DataFrame

• Unique values in each column

How do you drop duplicate rows in a DataFrame?

• df.remove_duplicates()

• df.drop_duplicates()

• df.clear_duplicates()

• df.del_duplicates()

What does NaN represent in a dataset?

• Not available

• Null value

• Zero value

• Negative value

Which library is primarily used for numerical operations in Python?

• Pandas

• Matplotlib

• NumPy

• Scikit-Learn

What function can you use to generate random numbers in NumPy?

• np.rand()

• np.random()

• np.random.random()

• np.rnd()