🦠 COVID-19 Global Dashboard — 2020

An interactive data dashboard built with Streamlit, Pandas, and Plotly to explore and visualize the global spread of COVID-19 during the first major wave of the pandemic (Jan–Jul 2020).

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📊 Features

✅ Cleaned and structured dataset from Kaggle
✅ Interactive country selection
✅ Time series analysis for confirmed, deaths, recovered, and active cases
✅ Top 10 hardest-hit countries
✅ Animated geospatial map showing active case growth over time
✅ Responsive layout and scrollable components

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🧪 Tech Stack

• Python 🐍
• Pandas — for data wrangling and cleaning
• Plotly Express — for interactive and animated visualizations
• Streamlit — for building the web-based dashboard UI

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🚀 Run the App Locally

# 1. Clone the repo
git clone https://github.com/your-username/covid19-dashboard.git
cd covid19-dashboard

# 2. Install dependencies
pip install -r requirements.txt

# 3. Run the app
streamlit run app.py