Open data project on exploration of healthcare data for the ASEAN region, currently focusing on Malaria and Dengue.
Trello board: https://trello.com/b/NtM7qDC5/project-healthcare-asean
Slack Channel on DataKindSG team: #healthcare_asean
The data folder is currently not uploaded to the github repo (see .gitignore).
For new repositories, run: python download_raw_data.py
from .\src\data\
To get latest data, run: python .\src\data\download_lastmonth_data.py
Previously collected data is available in the Project Google drive folder.
for python 2
virtualenv \<virtual env name\>
for python 3
python3 -m venv \<virtual env name\>
source \<virtual env name\>/bin/activate
(\<virtual env name\>/bin/activate.fish
for fish shell)
(for windows, run command \path\to\env\Scripts\activate
)
pip install -r requirements.txt
├── LICENSE
├── Makefile <- Makefile with commands like `make data` or `make train`
├── README.md <- The top-level README for developers using this project.
├── data
│ ├── external <- Data from third party sources.
│ ├── interim <- Intermediate data that has been transformed.
│ ├── processed <- The final, canonical data sets for modeling.
│ └── raw <- The original, immutable data dump.
│
├── docs <- A default Sphinx project; see sphinx-doc.org for details
│
├── models <- Trained and serialized models, model predictions, or model summaries
│
├── notebooks <- Jupyter notebooks. Naming convention is a number (for ordering),
│ the creator's initials, and a short `-` delimited description, e.g.
│ `1.0-jqp-initial-data-exploration`.
│
├── references <- Data dictionaries, manuals, and all other explanatory materials.
│
├── reports <- Generated analysis as HTML, PDF, LaTeX, etc.
│ └── figures <- Generated graphics and figures to be used in reporting
│
├── requirements.txt <- The requirements file for reproducing the analysis environment, e.g.
│ generated with `pip freeze > requirements.txt`
│
├── src <- Source code for use in this project.
│ ├── __init__.py <- Makes src a Python module
│ │
│ ├── data
│ │ └── download_scripts <- Scripts for downloading from each raw data
│ │ │ source
│ │ └── download_raw_data.py <- Script to download raw data using
│ │ │ modules in `download_scripts/`
│ │ └── make_dataset.py <- Script to clean raw data
│ │
│ ├── features <- Scripts to turn raw data into features for modeling
│ │ └── build_features.py
│ │
│ ├── models <- Scripts to train models and then use trained models to make
│ │ │ predictions
│ │ ├── predict_model.py
│ │ └── train_model.py
│ │
│ └── visualization <- Scripts to create exploratory and results oriented visualizations
│ └── visualize.py
│
└── tox.ini <- tox file with settings for running tox; see tox.testrun.org