In this exercise you will pull data from IoT Analytics into a Jupyter notebook, enrich the data and create a line chart.
As you can see from the result preview data for assets and properties are stored with their ids which is not very meaningful. Who knows what is the asset behind the id
fa123caa-69ef-47bc-b3a2-1f4efaa8b8a7? You will learn to add the related asset and property names while working with the data.
You will use Jupyter notebooks for this exercise.
Notebooks for this exercise:
01_SW_Config.ipynb(you don’t need to execute this notebook again if it was used in a previous exercise)