Air pollution impacts human health, quality of living, climate, and the economy (Hystad et al., 2020). To assess its impact and facilitate mitigation actions, quantification of air pollution is vital. Measurements are the most accurate way of quantifying air pollution. Many countries conduct regulatory measurements of various air pollutants (e.g., fine and respirable particulate matter, nitrogen dioxide, sulfur dioxide, and surface ozone) and make the data available publicly.
Air pollution data sets typically span several seasons or years and real-time data are recorded typically every hour or at a higher frequency. With the ever increasing amount of data and number of data providers, there is a clear need for tools to handle, analyze, and visualize large data sets. The current Shiny app pollucheck aims at a simple workflow to generate a suite of statistical plots and summary statistics (Chang et al., 2021). Users do not need any programming background to analyze time series data and generate a variety of plots.
(Adithi R. Upadhya, Pratyush Agrawal, and Meenakshi Kushwaha are other authors of this paper.)