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updated read me
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jdamodhar committed Oct 12, 2023
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2 changes: 1 addition & 1 deletion .gitignore
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#outuput
*0.csv
# Distribution / packaging
# .github
.github
.Python
env/
build/
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3 changes: 2 additions & 1 deletion README.md
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## Utilization [Synthetic data generator plus]() Project

[![Python application](https://github.com/damodhar918/sdgp/actions/workflows/python-app.yml/badge.svg)](https://github.com/damodhar918/sdgp/actions/workflows/python-app.yml) [![codecov](https://codecov.io/github/damodhar918/sdgp/graph/badge.svg?token=MHZTS92Y4I)](https://codecov.io/github/damodhar918/sdgp)
[![Python application](https://github.com/damodhar918/sdgp/actions/workflows/python-app.yml/badge.svg)](https://github.com/damodhar918/sdgp/actions/workflows/python-app.yml) [![codecov](https://codecov.io/github/damodhar918/sdgp/graph/badge.svg?token=MHZTS92Y4I)](https://codecov.io/github/damodhar918/sdgp) [![Unit Tests](https://github.com/damodhar918/sdgp/actions/workflows/unittest.yml/badge.svg?branch=main)](https://github.com/damodhar918/sdgp/actions/workflows/unittest.yml)

For questions on this package contact the package Developer Damodhar Jangam at <damodhar918@outlook.com>

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- Configuration rules include generating unique indices, fixed or random dates/times, categorical values, float values within a range, integer values within a range, or constant values.
- Generate high volume data
- Save a DataFrame in CSV and Parquet file formats
- Futher can ingest into SQL server, HDFS, Hive, HBase, Kafka, etc.

## Package Installation

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