Data Handling Quiz

Why is data visualization important for scientists and engineers?

• It allows them to write reports more easily.

• It helps them identify patterns and relationships in data.

• It allows them to avoid collecting raw data.

• It helps them avoid making mistakes.

What is an example of data visualization?

• A list of numbers on a spreadsheet.

• A written report about an experiment.

• A line graph showing changes in temperature over time.

• A text description of an experiment.

In what situation might a business use data visualization?

• To monitor weather patterns.

• To track how customers behave and make strategic decisions.

• Both

• Neither

Which of the following fields uses data visualization to make important decisions?

• Transportation

• Education

• Entertainment

• All of the above

What is the main purpose of the Matplotlib library in Python?

• To handle large datasets

• To create visualizations like graphs and charts

• To perform complex mathematical operations

• To manage and clean data

Which of the following commands is used to create a simple plot in Matplotlib?

• plt.graph()

• np.plot()

• plt.plot()

• matplotlib.graph()

What does the NumPy library mainly focus on?

• Creating graphs and visualizations

• Handling string data efficiently

• Performing numerical operations and managing arrays

• Reading and writing Excel files

Why do we use Pandas in data analysis?

• To handle and manipulate structured data, like tables

• To perform numerical computations

• To visualize data with graphs and plots

• To handle string operations in Python

What is the benefit of using NumPy arrays over Python lists?

• • They allow more flexible data types.

  
  

• They are slower but more accurate.

• They create graphs automatically.

• They are faster and use less memory.

Which library would you use to read data from an Excel file into a DataFrame?

• Matplotlib

• NumPy

• Pandas

• SciPy