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In this study, we will be using the NYC Open Data website to examine publicly available data sets on water and energy consumption in New York City. In particular, we will use various scientific programming and machine learning modules in Python to analyze and visualize trends in water and energy usage within the five boroughs.


This poster was presented at the 30th Semi-Annual Honors and Undergraduate Research Scholars Poster Presentation, May 2019. Mentor: Prof. Johann Thiel (Mathematics).



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