School of Informatics, University of Edinburgh
Please contact Professor D K Arvind ([email protected]) with any questions you may have.
In this lab, you will be cleaning the activity data you have collected. Please make sure to follow the instructions and guidelines carefully before submitting your data.
We will now run a Jupyter Notebook to inspect the collected data.
First, make sure you have activated your conda enviroment for PDIoT. Here, we assume you have named your environment pdiot.
conda activate pdiot
Navigate to the pdiot-practical folder, then start Jupyter Notebook:
jupyter notebook
This will open a new tab in your browser. Open the Lab 3 Python Notebook. Replace the test filepath with the path of one of your recordings. Then, run all the cells of the Notebook.
There are additional comments and explanations in the Notebook about how to load files, plot them, and what to watch out for when cleaning the data.
Please do not modify the structure of the data in other ways than the stated ones or apply any preprocessing methods to the data other than the ones stated in the Lab 3 Python Notebook. The goal is to have a cohesive dataset with which everyone can work with.