All raw data is directly downloaded from Ministerio de Sanidad website, which daily updates the statistics from the COVID19 epidemy. The downloaded archives are PDF files that are transformed into csv files in order to better analyze them.
.
├── data
│ ├── csv_data
│ ├── final_data
│ ├── info_data
│ └── pdf_data
├── imgs
├── notebooks
└── src
data
├── csv_data
│ ├── COVID_es_[DATE].csv
├── final_data
│ └── dataCOVID19_es.csv
├── info_data
│ ├── PoblaciónCCAA.csv
│ ├── death_rate.csv
│ └── poblacio?\201n_edades.csv
└── pdf_data
├── Actualizacion_[XX]_COVID-19.pdf
- Original data are gathered in
data/pdf_data - csvs from original data by date are gathered in
data/csv_data info_datacontains extra data from sources such as Instituto Nacional de Estadísticafinal_datacontains the csv filedataCOVID19_es.csvwhich is daily updated.
| Column | Meaning |
|---|---|
| CCAA | Spanish Autonomous community |
| fecha | Date |
| casos | Cases |
| IA | Cumulative incidence |
| UCI | Number of patients requiring Intensive care unit assistance |
| muertes | Number of deaths |
| Hospitalizados | Number of hospitalized patients |
| curados | Number of healed patients |
| nuevos | Number of new cases compared to the previous day |
The notebooks folder contains some examples of epidemologic models such as SIRModel.ipynb, SEIRModel.ipynb or LogisticCurve.ipynb.
Feel free to contact me or make a pull-request if you want to change/add anything.
** Special thanks to Pedro Vélez for his contribution to this repo **