Preciousclement/Maternal-Experiences-In-Nigeria
Domain:
healthcareRecord type:
dataset
Creator:
Pre
Host:
This repository contains a Python-based project that generates realistic synthetic data simulating the maternal health journey of 5,000 women in Nigeria.
# Understanding Maternal Experiences In Nigeria
**Project Type:** Data Retrieval → Cleaning / EDA → Interactive Visualization
## Table of Contents
- Project Overview
- Data Source
- Dataset Tables
- Tools Used
- Objectives
- Steps Taken
- Power BI Visualizations
- Key Insights
- Conclusion
- Contributions
- License
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## Project Overview
This project simulates a realistic dataset of **5,000 Nigerian mothers** to explore maternal health, pregnancy experiences, and delivery outcomes. The dataset is designed for **educational and exploratory use**, providing insights into demographics, pregnancy experiences, and postpartum conditions.
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## Data Source
The dataset is fictional but statistically inspired by data from:
- **NDHS 2018**: Fertility rate ~5.5, antenatal care ~60% (≥4 visits)
- **WHO data**: C-section rate ~2–5%
- **Studies on postpartum depression**: ~10–15% prevalence in Nigeria
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## Dataset Tables
| File | Description |
|------|------------|
| `nigeria_maternal_demographics_5000.csv` | Age, Location (State, rural/urban), Education Level, Marital Status, Employment Status |
| `nigeria_pregnancy_experience_5000.csv` | Number of Pregnancies, Weeks at Delivery, Antenatal Visits & Quality, Cravings, Aversions, Moods, Symptoms |
| `nigeria_delivery_postpartum_5000.csv` | Delivery Method, Place of Delivery, Birth Complications, Support Systems, Postpartum Depression Baby Weight, Health Condition, Access to Postnatal Care |
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## Tools Used
- **Python** (pandas, numpy)
- **Jupyter Notebook**
- **Power BI**
### How to Use
1. Clone the repository
2. Run `Maternal Experience Project Simulation.ipynb` in Jupyter
3. Use CSVs for analysis or modeling
## Objectives
1. Simulate a realistic maternal health dataset for Nigeria.
2. Analyze patterns in demographics, pregnancy experiences, and postpartum outcomes.
3. Provide interactive visualizations to explore maternal health trends.
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## Steps Taken
- Generated a synthetic dataset using Python and Jupy …