AQI Dashboard - Multi-page Streamlit Application

This is an interactive dashboard application that visualizes Air Quality Index (AQI) data across the United States from 1980 to 2022. Check our deployed application here

Features

• Interactive Visualizations: Dynamic plots using Plotly that respond to user inputs
• Geospatial Analysis: Map-based visualizations using state coordinates
• Time Series Analysis: Trend analysis across multiple years
• State-by-State Comparison: Compare AQI metrics between different states
• Pollutant Analysis: Detailed breakdown of specific air pollutants

Project Structure

aqi_dashboard/
├── app.py                  # Main application entry point
├── utils/                  # Utility functions
│   ├── data_loader.py      # Data loading and preprocessing
│   └── visualization.py    # Common visualization functions
└── README.md               # Documentation
└── requirements.txt        # project requirements

Installation

1. Clone this repository
2. Install dependencies:

pip install -r requirements.txt

python version > 3.11

Usage

Run the application:

streamlit run app.py

Data Description

The dataset contains AQI metrics for U.S. states from 1980 to 2022, including:

• Geographic location data
• Population estimates
• County reporting statistics
• Various AQI categories (Good, Moderate, Unhealthy, etc.)
• Maximum, 90th percentile, and median AQI values
• Days where specific pollutants were the main AQI contributors (CO, NO2, Ozone, PM2.5, PM10)