Research of time series air quality data based on exploratory data analysis and representation

The environmental problem, especially the air quality such as the content of PM2.5, is an important hot spot in the international community. Many cities release of air environment quality data in real time to monitor the dynamic changes of environment and had accumulated lots of environment data. By exploring and analyzing these time series monitoring data, we can get a lot of interesting information. The paper explores the time series air quality monitoring data based on exploratory data analysis and visual representation. The analysis results can be used to study the time distribution of air environmental quality and its dynamic changes.