Details for Milestone are available on Canvas (left sidebar, Course Project).
Collectively we have similar interests in using this data set, such that we both want to discover how the chemical contaminates effect the environment and contribute to the climate crisis in that area. Separately Akshay plans to examine nitrogenous oxides due to his interest in the production of acid rain and the trends around it. Furthermore, Brianna specifically is looking at if there is any parasitic regression between the different variables and to see if there is any correlation or not. Together we plan to take all the information collected from our separate analyses to determine if this affects the progression of the climate crisis in that area.
Our dataset contains a single file containing information about different chemical contaminants in the air, such as nitrogenous oxides, non-metanic hydrocarbons, average concentrations of carbon dioxide and benzenes. The data was collected daily over the span of a year through a multi sensor devices to monitor benzene levels near a city in Italy and it was collected by ENEA - National Agency for New Technologies, Energy and Sustainable Economic Development. The original study used this data to detmine different benzene gas levels from a specific area that was considered to have a high amount of air polution.
- Person 1: Akshay Mahi: He is a third year Mgmt Student, with a primary focus in accounting.
- Person 2: Brianna Chernenkoff: She is a third year BSc Student, majoring in General Studies with a focus in Data Science and Psychology.
{You should use this area to add a screenshot of an interesting plot, or of your dashboard}
{S. De Vito, E. Massera, M. Piga, L. Martinotto, G. Di Francia, On field calibration of an electronic nose for benzene estimation in an urban pollution monitoring scenario, Sensors and Actuators B: Chemical, Volume 129, Issue 2,2008, Pages 750-757, ISSN 0925-4005, https://doi.org/10.1016/j.snb.2007.09.060 (https://www.sciencedirect.com/science/article/pii/S0925400507007691)}