This file is my 26-page long data analysis and research project that analyzes the environmental conditions that are ideal for the formation of ground-level ozone, and hence provides a general prediction of where to expect smog build-up to occur. It inspects ground-level ozone concentrations in 10 different locations in Southern California, while breaking down the environmental conditions of each location (i.e., average temperature, rainfall, and topography). My background research, procedure, findings, and applications are listed in the file.
In hindsight, this report emphasized to me the importance of data and its inherent application in nearly all fields. The interplay of climate change and data science proved to me to be a powerful combination to study, learn, and utilize.
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