Go to file
Andrea Mannocci da8f0818df Merge branch 'master' of https://code-repo.d4science.org/andrea.mannocci/data_registries_analysis 2021-10-07 09:36:12 +02:00
data Merge branch 'master' of https://code-repo.d4science.org/andrea.mannocci/data_registries_analysis 2021-10-07 09:36:12 +02:00
docs first import 2021-07-02 17:50:27 +02:00
models first import 2021-07-02 17:50:27 +02:00
notebooks recreating dataframes 2021-10-07 08:59:07 +02:00
references first import 2021-07-02 17:50:27 +02:00
reports first import 2021-07-02 17:50:27 +02:00
src added datasets 2021-07-22 11:03:05 +02:00
.gitignore added datasets 2021-07-22 11:03:05 +02:00
LICENSE first import 2021-07-02 17:50:27 +02:00
Makefile first import 2021-07-02 17:50:27 +02:00
README.md first import 2021-07-02 17:50:27 +02:00
requirements.txt first import 2021-07-02 17:50:27 +02:00
setup.py first import 2021-07-02 17:50:27 +02:00
test_environment.py first import 2021-07-02 17:50:27 +02:00
tox.ini first import 2021-07-02 17:50:27 +02:00

README.md

data-registries

A short description of the project.

Project Organization

├── 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`
│
├── 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
│
└── tox.ini            <- tox file with settings for running tox; see tox.readthedocs.io

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