binh-ng/african-fracture-eda

EDA of African fracture dataset with 100+ patient records. Analyzes fracture types, vital signs, pain scales, demographics, traditional medicine usage, and healthcare access. Includes demographic visualizations, clinical boxplots, statistical tests, and correlation analysis. # African Medical Multimodal Fracture Dataset - Exploratory Data Analysis ## 📋 Overview This repository contains a comprehensive exploratory data analysis (EDA) of the African Medical Multimodal Fracture Dataset, examining fracture cases across multiple African countries. The analysis explores relationships between fracture types, clinical measurements, patient demographics, cultural factors, and healthcare access patterns to provide insights into injury patterns and treatment approaches in African medical contexts. ## 🎯 Objectives - Analyze fracture type distributions and injury mechanisms across African regions - Examine clinical measurements (vital signs, pain assessments, anthropometric data) by fracture type - Investigate demographic patterns, including age, gender, education, and socioeconomic factors - Assess traditional medicine usage rates and cultural beliefs about injury treatment - Evaluate healthcare access barriers (distance, transportation, digital literacy) - Identify correlations between clinical, demographic, and environmental variables - Provide statistical validation of differences across fracture types ## 📊 Dataset Description **Source**: HuggingFace - electricsheepafrica/african-medical-multimodal-fracture **Size**: 100+ patient records **Geographic Coverage**: Multiple African countries, including Nigeria, Kenya, Ghana, Zimbabwe, Mali, Ethiopia, Tanzania, Uganda, and more ### Data Categories The dataset includes comprehensive multimodal information: #### 1. **Demographics** (12 variables) - Age, gender, country, region type (urban/rural/peri-urban) - Occupation, education level, income level - Healthcare distance, transportation mode - Insurance status, family size, primary language #### 2. **Clinical Measurements** (11 variables) - **Vital Signs**: Heart rate, blood pressure (systolic/diastolic), temperature, respiratory rate, oxygen saturation - **Anthropometric**: Height, weight, BMI, arm circumference - **Pain Assessment**: …