Developing a visualization of the air quality level (PM2.5, PM10, Ozone, NO2, CO, and SO2) among the selected area during the period of November, 2019 to Jun, 2020. We also do the statistics analysis in this project. This is important to let us know how Covid-19 will affect the air quality of the society and hence to give an idea to people how to conserve the air environment.
This year is a infortune year. Not just Australia bushfire, locust plagues at Africa due to global warning, climate change and ozone hole, all these kind of disaster cannot leave with of factor of air pollution. And because of air pollution and coming Covid-19 will affect the respiratory system and lung of the people. This is why we select A One Health Approach Challenge.
In this project, we are using python language, software of Ananconda3 jupyter Notebook and Excel to do the visualization and statistic analysis test among the dataset.
To do the visualization and see the data trend, python package of pandas, numpy, matplotlib and seaborn for the graph.
We are developing a visualization of the Daily AQI Value of the air (PM2.5, PM10, Ozone, NO2, CO, and SO2) among the selected area during the period of November, 2019 to Jun, 2020. We also do the ANOVA test in this project. This is because we are aims to see how the Covid-19 will affect the air quality of the selected area and is the Covid-19 a significant factor on the air quality of the selected area.
The data used in this project is collected in the United States Environmental Protection Agency. We download the Daily Data air quality by the selected area and pollutant(PM2.5, PM10, Ozone, NO2, CO, SO2).
https://drive.google.com/drive/folders/1sM139j7gztTP8WSrhch4V75Lry2elbDw?usp=sharing
United States Environmental Protection Agency