Practice Line Charts With Rolling Windows (3.4.1) - Advanced Data Visualization Techniques

Practice: Line Charts with Rolling Windows

Lesson 3.4.1Advanced Data Visualization Techniques

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8 questions

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2 cards from this section. Quick, good the night before a test.
Exercise
6 questions · about 4 min · pass mark 70%. Hints available.
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Quiz
2 questions · about 1 min · pass mark 70%. Hints available.
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6 sample questions

Question 1.
Define a rolling window in your own words.
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Think about how it helps visualize changes over time.
Question 2.
What is a simple moving average?
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Recall how averages are determined.
3Question 3.
What does a rolling window technique help accomplish?
- Smoothing data variability
- Creating random data points
- Analyzing unstructured data
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Consider how you achieve clarity in data representation.
4Question 4.
True or False: A weighted moving average treats all data points equally.
- True
- False
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Think about the importance of recent data.
Question 5.
Given a series of stock prices for a week, calculate the 3-day rolling average and interpret the results.
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Apply the rolling average direct from past exercises.
Question 6.
Develop a presentation that utilizes line charts with rolling windows for different datasets, showcasing at least two applications of moving averages.
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Think about significant volatility in your applications.

4 more questions in this section. Enroll free to practise them all.