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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.

Cet exercice fait partie du cours

Analyzing IoT Data in Python

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Exercice interactif pratique

Essayez cet exercice en complétant cet exemple de code.

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