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Missing data II

While analyzing data, you should be aware of any longer, connected periods without data, as this can influence your results.

While you can fill columns with missing data, the previous methods did not reveal if no data is present for a period of time.

In this exercise, you'll search for periods of time without data, and you'll try to detect them visually in a line graph.

This exercise is part of the course

Analyzing IoT Data in Python

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Hands-on interactive exercise

Have a go at this exercise by completing this sample code.

# Calculate and print NA count
print(data.____().____())
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