The open source practical assignments of the course Big Data for Sports and Human Movement Sciences form the University of Groningen, Department of Human Movment Sciences. The course is developed originally by Matthias Kempe, but has had many contributors to improving course over the years. Special thanks to Floris Goes, Sophie de Klerck, Rowie Janssen, and Alexander Oonk for creating, improving, and updating all code over the years.
The most up to date version of the practicals can be found here
- Clone this repository
- Install the conda environment:
conda env create --file big_data_environment.yml - Build the jupyter book:
jupyter-book build practicals_jn_book --all -W - Build raw python files from jupyter book:
jupyter nbconvert --to script practicals_jn_book/*/*.ipynb
The current project is open sourced under the CC0 licence. However, we also use (modified) open data sources in this project. Please check the licence of the following sources before using this project:
- Week 1: weight lifters dataset
- Week 2: Pokemon dataset
- Week 3: Breast Cancer dataset
- Week 4: Fifa dataset
- Week 5: Orthopedic Patients dataset
- Week 6: DATEV 2018 Challenge Roth dataset