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Project Aspen (Sandiego)

Project Aspen will glean information from open source-ecosystem data sets that can help drive community- and business-oriented decision making. Using data-analysis tools built by OSPO, as well as community metric tools from Project CHAOSS, Sandiego will enable contributors and participants to ask questions and make data-informed decisions about open source projects and communities.

Project Discussion

We have a Matrix room for discussion of anything Sandiego-related. Come chat with us in #sandiego-rh:matrix.org!

Example of config.json file:

{
    "connection_string": "sqlite:///:memory:",
    "database": "sandiegorh",
    "host": "chaoss.tv",
    "password": "<<Your Password>>",
    "port": 5432,
    "schema": "augur_data",
    "user": "<<Your Username>>",
    "user_type": "read_only"
}

Project Organization

├── LICENSE
├── Makefile           <- Makefile with commands like `make data` or `make train`
├── Pipfile            <- Pipfile stating package configuration as used by Pipenv.
├── Pipfile.lock       <- Pipfile.lock stating a pinned down software stack with as used by Pipenv.
├── 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 stating direct dependencies if a library
│                         is developed.
│
├── setup.py           <- makes project pip installable (pip install -e .) so src can be imported
├── src                <- Source code for use in this project.
│   ├── __init__.py    <- Makes src a Python module
│   │
│   ├── data           <- Scripts to download or generate data
│   │   └── make_dataset.py
│   │
│   ├── 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
│
├── .thoth.yaml        <- Thoth's configuration file
├── .aicoe-ci.yaml     <- AICoE CI configuration file (https://github.com/AICoE/aicoe-ci)
└── tox.ini            <- tox file with settings for running tox; see tox.readthedocs.io

Project based on the cookiecutter data science project template. #cookiecutterdatascience

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