/data-cleanup
Contains script for merging all separate .csv files into a single one, which makes it easier to import with Python
It also remove rows for each separate .csv where SoC < 0 before merging (bug in the simulaor which stores false data after SoC < 0)
/juptyer-notebooks
Contains all jupyter notebooks for analysing the data
If you want to run these you have to install juyter notebook, I think it's easiest to use Anaconda: https://anaconda.org/
/raw-data
Contains all the individual driving sessions in .csv format
/figures
Save useful figures here