Practice Line Charts with Rolling Windows - 3.4.1 | 3. Advanced Data Visualization Techniques | Data Science Advance
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Practice Questions

Test your understanding with targeted questions related to the topic.

Question 1

Easy

Define a rolling window in your own words.

πŸ’‘ Hint: Think about how it helps visualize changes over time.

Question 2

Easy

What is a simple moving average?

πŸ’‘ Hint: Recall how averages are determined.

Practice 4 more questions and get performance evaluation

Interactive Quizzes

Engage in quick quizzes to reinforce what you've learned and check your comprehension.

Question 1

What does a rolling window technique help accomplish?

  • Smoothing data variability
  • Creating random data points
  • Analyzing unstructured data

πŸ’‘ Hint: Consider how you achieve clarity in data representation.

Question 2

True or False: A weighted moving average treats all data points equally.

  • True
  • False

πŸ’‘ Hint: Think about the importance of recent data.

Solve and get performance evaluation

Challenge Problems

Push your limits with challenges.

Question 1

Given a series of stock prices for a week, calculate the 3-day rolling average and interpret the results.

πŸ’‘ Hint: Apply the rolling average direct from past exercises.

Question 2

Develop a presentation that utilizes line charts with rolling windows for different datasets, showcasing at least two applications of moving averages.

πŸ’‘ Hint: Think about significant volatility in your applications.

Challenge and get performance evaluation