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This repository contains a Python-based project that generates realistic synthetic data simulating the maternal health journey of 5,000 women in Nigeria.

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Understanding Maternal Experiences in Nigeria

This project simulates a realistic dataset of 5,000 Nigerian mothers to explore maternal health, pregnancy experiences, and delivery outcomes.

πŸ“‚ Dataset Tables

  • nigeria_maternal_demographics_5000.csv
  • nigeria_pregnancy_experience_5000.csv
  • nigeria_delivery_postpartum_5000.csv

πŸ“Š Whats in the Data?

1. Demographics

  • Age, State, Rural/Urban, Education Level, Marital Status, Employment

2. Pregnancy Experience

  • Number of Pregnancies, Weeks at Delivery, Antenatal Visits & Quality
  • Cravings, Aversions, Moods, Symptoms

3. Delivery & Postpartum

  • Delivery Method, Birth Complications, Support Systems
  • Baby Weight, Health Condition, Access to Postnatal Care

πŸš€ How to Use

  1. Clone the repository
  2. Run notebooks/data_generation.ipynb in Jupyter
  3. Use CSVs under data/ for analysis or modeling

πŸ” Purpose

This dataset is for educational, exploratory, and data science portfolio use. It's fictional but statistically inspired by maternal health trends in Nigeria.

πŸ›  Built With

  • Python (pandas, numpy)
  • Jupyter Notebook
  • Tableau

πŸ™Œ Contributions

Ideas or improvements? Feel free to fork or open a pull request.


πŸ“œ License

This repository is licensed under the MIT License.


Made with ❀️ by [Precious Clement] | Driven by data, grounded in community love.

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This repository contains a Python-based project that generates realistic synthetic data simulating the maternal health journey of 5,000 women in Nigeria.

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