ShreyansJain04/NTDs-in-Africa

# Neglected Tropical Diseases in Africa: A Data-Driven Interactive Analysis This interactive dashboard analyzes the eradication efforts of two major Neglected Tropical Diseases (NTDs) — **Lymphatic Filariasis (LF)** and **Soil-Transmitted Helminthiases (STH)** — across African countries. The analysis uses real-world public health, economic, and sanitation datasets to uncover patterns, test hypotheses, and visualize insights that can inform future public health strategies. --- ## Key Features - **Premium Web Dashboard:** A customized, stunning dark-mode web application featuring glassmorphism elements, dynamic micro-animations, and a highly responsive layout. - **Trend and Correlation Visualizations:** Stunning Plotly-based interactive time-series, scatter, choropleth maps, and parallel coordinates plots embedded natively into the DOM. - **Hypothesis Testing:** Robust regressions, t-tests, and Pearson correlations to dynamically support or reject data-driven hypotheses. - **Data Engineering:** Extensively cleaned datasets spanning two decades using real-world public health parameters (GDP, sanitation access, and health expenditures). ## Project Structure - `index.html`: The main premium web dashboard. - `wa.ipynb`: The core analytical Jupyter Notebook containing statistical testing. - `notebook_export.html`: The original raw notebook HTML export. - `assets/charts.json`: The extracted Plotly configurations used natively by the frontend. - `data/`: Segregated raw inputs and processed outputs. ## Run Locally Simply start a local Python HTTP server to view the dashboard properly (allowing the data `fetch()` calls to succeed): ```bash python3 -m http.server ``` Then navigate to `localhost`. ---