COVID-19 Global Dashboard

• Access web app from: site

An interactive, data-driven dashboard for visualizing and analyzing global COVID-19 statistics using real-time API data. This project demonstrates my ability to work with public health data, clean and transform it, apply machine learning, and present insights through modern visual tools.

Built entirely by me using Python, Streamlit, Plotly, Pandas, and Scikit-Learn.

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Features

• Live API integration for up-to-date global and per-country COVID-19 stats
• Bar charts of top N countries by total cases
• Choropleth map to visualize spread by country and metric
• KMeans clustering to categorize countries by risk (using unsupervised machine learning)
• Country profiles with key health indicators
• Global and country-level historical trends (30-day)
• Country comparison across multiple health indicators
• Downloadable data (CSV)
• Auto-refresh toggle for dynamic updates

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Sample Visualizations

Global Metrics	Risk Clustering (KMeans)

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Tech Stack

• Python
• Streamlit for UI & interactivity
• Plotly for interactive charts & maps
• Pandas for data manipulation
• Requests to call the disease.sh API
• Scikit-Learn for KMeans clustering

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Data Source

• COVID-19 data from: disease.sh
  • Endpoint used: /v3/covid-19/countries
  • Historical data: /v3/covid-19/historical/all and /historical/{country}

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Setup Instructions

1. Clone this repo:

   git clone https://github.com/AlvinKiprotich-dev/covid19-dashboard.git
   cd covid19-dashboard