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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.

Deze oefening maakt deel uit van de cursus

Analyzing IoT Data in Python

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Interactieve oefening met praktijkervaring

Probeer deze oefening door deze voorbeeldcode aan te vullen.

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