Air Quality Data Analysis
A researcher needs to clean and analyze air quality data collected over three years.
The application enables data cleaning and processes relationships between various pollutants.
The air quality dashboard is a web application designed to visualize and analyze air quality data from multiple monitoring stations in South Korea, helping users understand pollutant relationships effectively.
A researcher needs to clean and analyze air quality data collected over three years.
The application enables data cleaning and processes relationships between various pollutants.
An environmental scientist needs to present findings to a conference.
Users can generate visually appealing reports that summarize the air quality analysis results.
A government agency wants to study pollutant interactions to inform policy.
The application supports analyzing the relationships between PM2.5 and other pollutants.
Odp.: You can clean air quality data, analyze relationships between pollutants, and create visual reports.
Odp.: Yes, the application supports user authentication, including login and registration.
Odp.: Yes, the application allows you to visualize analysis results in engaging and easy-to-understand formats.
Odp.: The application can analyze air quality data sources that include PM2.5 and other common air pollutants.
Seoul Air Quality Analysis: This dashboard presents a detailed analysis of the South Korean air quality dataset spanning from January 2017 to December 2019, with hourly observations from 25 monitoring stations. Using robust statistical methods from the paper "Homogeneity Structure Learning" (Xiao, JMLR 2021), we investigated the relationships between PM2.5 concentrations and four air pollutants: ozone (O3), sulfur dioxide (SO2), carbon monoxide (CO), and nitrogen dioxide (NO2).