Logo Lanfrica
  • Home
  • Atlas
  • Insights
  • Docs
  • Sign in

© 2026 Lanfrica. All rights reserved. All copyrights of the resources shown on the Lanfrica website belong to the original copyright holders, unless explicitly stated otherwise.

obiaemmanuel/Nigeria-NDHS-Health-Analytics-R

Domain:

healthcare

Record type:

project
Creator:
obi
Host:
End-to-end R project analyzing Nigerian maternal and child health indicators using NDHS-style data. Covers data cleaning, EDA, ggplot2 visualization, and statistical analysis. # Nigeria NDHS Health Analytics Project **Author:** Emmanuel Ginika Obia **Tools:** R, ggplot2, dplyr, tidyr, broom **Domain:** Public Health | Health Informatics | Nigeria --- ## Overview End-to-end health data analysis project using a simulated Nigeria Demographic and Health Survey (NDHS) dataset covering 5,000 respondents across all 36 states and FCT. The project explores maternal and child health indicators including facility delivery, antenatal care, immunization, and child nutrition. --- ## Project Structure ``` Nigeria_NDHS_Analysis/ ├── data/ │ ├── nigeria_ndhs_simulated.csv # Raw generated dataset │ └── nigeria_ndhs_clean.csv # Cleaned, analysis-ready dataset ├── scripts/ │ ├── 00_generate_data.R # Simulate realistic NDHS dataset │ ├── 01_data_cleaning.R # Data cleaning and preparation │ ├── 02_eda.R # Exploratory data analysis │ ├── 03_visualization.R # 7 ggplot2 visualizations │ ├── 04_statistical_analysis.R # Hypothesis tests and regression │ └── 05_run_all.R # Run full pipeline at once ├── outputs/ # Generated charts (PNG) └── Nigeria_NDHS_Analysis.Rproj ``` --- ## Key Analyses | Script | What it does | |--------|-------------| | 00 | Generates 5,000-record NDHS dataset with 25+ variables | | 01 | Cleans data, encodes factors, creates derived variables | | 02 | National and zonal KPI summaries | | 03 | 7 publication-quality ggplot2 charts | | 04 | Chi-square, t-test, ANOVA, logistic regression, correlation | --- ## Visualizations Produced 1. Facility delivery rate by geopolitical zone (bar chart) 2. Health indicators by education level (grouped bar) 3. Immunization coverage heatmap by zone 4. Health utilisation by wealth index (combo chart) 5. Maternal age distribution by zone (density plot) 6. ANC visits vs facility delivery rate (scatter + regression) 7. Child malnutrition (stunting/wasting) by zone --- ## Key Findings - …

Visit

github.com

Similar

rryesuafuga/uganda-child-health-r-analyticsrryesuafuga/uganda-child-health-r-analytics-fullEkemonday/Nigeria-Demographic-Health-Survey-NDHS-National-Indicators-Dashboardnneoma-lydia/WASH-NDHS-Nigeria-2024tolulawson/ndhs-explorer0AC-II/ndhs-hypertension

rryesuafuga/uganda-child-health-r-analytics

--- title: Uganda Child Health Analytics R Dashboard emoji: 🏥 colorFrom: blue colorTo: red sdk: dock

rryesuafuga/uganda-child-health-r-analytics-full

This comprehensive R Shiny dashboard supports World Vision's mission to improve child health outcome

Ekemonday/Nigeria-Demographic-Health-Survey-NDHS-National-Indicators-Dashboard

# Nigeria-Demographic-Health-Survey-NDHS-National-Indicators-Dashboard The Nigeria Demographic and

nneoma-lydia/WASH-NDHS-Nigeria-2024

Explainable ML for predicting household WASH access using 2024 NDHS Nigeria data # Predicting House

tolulawson/ndhs-explorer

nteractive data explorer for the Nigeria Demographic and Health Survey (NDHS) 2024, featuring visual

0AC-II/ndhs-hypertension

Machine learning model predicting hypertension risk among Nigerian adults using Nigeria DHS 2024 dat