Logo Lanfrica
  • Accueil
  • Atlas
  • Analyses
  • Documentation
  • Sign in

© 2026 Lanfrica. Tous droits réservés. Tous les droits d'auteur des ressources affichées sur le site Web Lanfrica appartiennent aux détenteurs de droits d'auteur d'origine, sauf indication contraire explicite.

Preciousclement/Maternal-Experiences-In-Nigeria

Domaine:

healthcare

Type de record:

dataset
Créateur:
Pre
Hôte:
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 --- ## 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. --- ## 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 --- ## 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 | --- ## 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. --- ## Steps Taken - Generated a synthetic dataset using Python and Jupy …

Visit

github.com

Tags

data-analysisdata-generationmaternal-healthnigeriapublic-healthpython

Licenses

MIT