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  3. Analyzing IoT Data in Python
  • 1

    Accessing IoT Data

    Gratuito

    In this chapter, you will first understand what IoT data is. Then, you learn how to aquire IoT data through a REST API and using an MQTT data stream to collect data in real time.

  • 2

    Processing IoT Data

    In the second chapter, you will look at the data you gathered during the first chapter. You will visualize the data and learn the importance of timestamps when dealing with data streams. You will also implement caching to an MQTT data stream.

  • 3

    Analyzing IoT Data

    In this chapter, you will combine multiple datasoures with different time intervals. You will then analyze the data to detect correlations, outliers and trends.

  • 4

    Machine Learning for IoT

    In this final chapter, you will use the data you analyzed during the previous chapters to build a machine learning pipeline. You will then learn how to implement this pipeline into a data stream to make realtime predictions.

Initializing

Exercicio

Reformat data

Based on the data gathered in the previous exercise, you can see that you have data for 2 different areas, area1 and area2. To easily compare and analyze this data, you should bring each device into its own column.

To load the data, you specify your own column names, since you did not save these with the data. After loading the data, you need to convert the timestamp. The timestamp is in milliseconds, which we need to tell to_datetime by specifying unit="ms".

You pivot the data and resample the data to 1-minute intervals since for this dataset, a more detailed analysis would not make sense.

Instruções 1/3

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  • Convert the unix-timestamp column ts to datetime using unit ms.