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https://github.com/DataResponsibly/DataSynthesizer
https://github.com/DataResponsibly/DataSynthesizer
Last synced: 4 months ago
JSON representation
- Host: GitHub
- URL: https://github.com/DataResponsibly/DataSynthesizer
- Owner: DataResponsibly
- License: mit
- Created: 2017-01-26T19:50:06.000Z (about 8 years ago)
- Default Branch: master
- Last Pushed: 2024-04-03T09:45:42.000Z (11 months ago)
- Last Synced: 2024-10-01T20:08:44.386Z (5 months ago)
- Language: HTML
- Size: 33.3 MB
- Stars: 254
- Watchers: 14
- Forks: 85
- Open Issues: 13
-
Metadata Files:
- Readme: README.md
- Changelog: HISTORY.md
- Contributing: CONTRIBUTING.rst
- License: LICENSE
- Authors: AUTHORS.rst
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- awesome-data-synthesis - DataSynthesizer - DataSynthesizer generates synthetic data that simulates a given dataset. It applies Differential Privacy techniques to achieve strong privacy guarantee. (Data-driven methods / Tabular)
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README
[](https://pypi.python.org/pypi/DataSynthesizer) [](https://travis-ci.com/DataResponsibly/DataSynthesizer)
# DataSynthesizer
DataSynthesizer generates synthetic data that simulates a given dataset.
> It aims to facilitate the collaborations between data scientists and owners of sensitive data. It applies Differential Privacy techniques to achieve strong privacy guarantee.
>
> For more details, please refer to [DataSynthesizer: Privacy-Preserving Synthetic Datasets](docs/cr-datasynthesizer-privacy.pdf)### Install DataSynthesizer
```bash
pip install DataSynthesizer
```### Usage
##### Assumptions for the Input Dataset
1. The input dataset is a table in first normal form ([1NF](https://en.wikipedia.org/wiki/First_normal_form)).
2. When implementing differential privacy, DataSynthesizer injects noises into the statistics within **active domain** that are the values presented in the table.##### Use Jupyter Notebook
After installing DataSynthesizer and [Jupyter Notebook](https://jupyter.org/install), open and try the demos in `./notebooks/`
- [DataSynthesizer__random_mode.ipynb](notebooks/DataSynthesizer__random_mode.ipynb)
- [DataSynthesizer__independent_attribute_mode.ipynb](notebooks/DataSynthesizer__independent_attribute_mode.ipynb)
- [DataSynthesizer__correlated_attribute_mode.ipynb](notebooks/DataSynthesizer__correlated_attribute_mode.ipynb)##### Use Web UI
The [dataResponsiblyUI](https://github.com/DataResponsibly/dataResponsiblyUI) is a Django project that includes DataSynthesizer. Please follow the steps in [Run the Web UIs locally](https://github.com/DataResponsibly/dataResponsiblyUI#run-the-web-uis-locally) and run DataSynthesizer by visiting http://127.0.0.1:8000/synthesizer in a browser.