There are source code for vizualization and notebooks for analysis of Liverpool Goal Scene Dataset.
.
├── README.md <- The top-level README for developers using this project.
│
├── datasets <- Dataset Dirctory
│ │
│ ├── positional_data <- The original, immutable data dump.
│ └── preprocessed <- The final, canonical data sets for modeling.
│
├── notebook <- Jupyter notebooks. Naming convention is a number (for ordering).
│ │
│ └── {Number}-{Name}.ipynb <- Number means processing step, Name means Processing Title
│ |
│ └── {Number}-{Name}.ipynb <- Number means processing step, Name means Processing Title
│ e.g. = 1.PreprocessingDataset.ipynb, 2-FitModel.ipynb,
│ 3-VerificatePredictPerformance.ipynb
│
├── reports <- Generated analysis as HTML, PDF, LaTeX, etc.
│
├── requirements.txt <- The requirements file for reproducing the analysis environment, e.g.
│ generated with `pip freeze > requirements.txt`
│
└── src <- Source code in this project.
│
├── main.py <- main application program
├── Metrica_PitchControl.py <- compute pitch control
├── PlayerPitchControlAnalysis.py <- for simulation of player pitch control impact
└── Metrica_Viz.py <- vizualization functions