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  3. Analyzing IoT Data in Python

Exercise

Read data from file

The data you will work with now includes additional columns about the environment like humidity and air pressure. All data can be consumed seperately from the public API, and I've gathered, combined and stored 3 months for this course.

After having acquired and saved the data to disk, you should have a look at what was actually downloaded and stored.

You'll now load the data from CSV and JSON, print the head and look at the DataFrame summary.

Instructions 1/2

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  • 1

    Read the CSV file "environmental.csv" parsing "timestamp" as date, print the head and information about the DataFrame.

  • 2

    Read the JSON file "environmental.json" to df and print the head and information about the DataFrame.