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# DP Wizard | ||
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DP Wizard guides the user through the application of differential privacy. | ||
After selecting a local CSV, users are prompted to describe to the anlysis they need. | ||
Output options include: | ||
- A Jupyter notebook which demonstrates how to use [OpenDP](https://docs.opendp.org/). | ||
- A plain Python script. | ||
- Text and CSV reports. | ||
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## Usage | ||
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``` | ||
usage: dp-wizard [-h] [--csv CSV_PATH] [--contrib CONTRIB] [--demo] | ||
options: | ||
-h, --help show this help message and exit | ||
--csv CSV_PATH Path to CSV containing private data | ||
--contrib CONTRIB How many rows can an individual contribute? | ||
--demo Use generated fake CSV for a quick demo | ||
``` |
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@@ -5,7 +5,7 @@ build-backend = "flit_core.buildapi" | |
[project] | ||
name = "dp_wizard" | ||
authors = [{name = "Chuck McCallum", email = "[email protected]"}] | ||
readme = "README.md" | ||
readme = "README-PYPI.md" | ||
license = {file = "LICENSE"} | ||
classifiers = ["License :: OSI Approved :: MIT License"] | ||
dynamic = ["version", "description"] | ||
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