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

3.4.1 - Line Charts with Rolling Windows

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Learning

Practice Questions

Test your understanding with targeted questions

Question 1 Easy

Define a rolling window in your own words.

💡 Hint: Think about how it helps visualize changes over time.

Question 2 Easy

What is a simple moving average?

💡 Hint: Recall how averages are determined.

4 more questions available

Interactive Quizzes

Quick quizzes to reinforce your learning

Question 1

What does a rolling window technique help accomplish?

Smoothing data variability
Creating random data points
Analyzing unstructured data

💡 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

💡 Hint: Think about the importance of recent data.

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Challenge Problems

Push your limits with advanced challenges

Challenge 1 Hard

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

💡 Hint: Apply the rolling average direct from past exercises.

Challenge 2 Hard

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

💡 Hint: Think about significant volatility in your applications.

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