We get some pretty incredible projects from our python for data science course (W200). We have chosen the best of them to put in this public facing showcase. These examples are selected as the best of the best projects. They serve to show the current Python students what is possible. As a result of this we see progressively better projects every semester. Projects are sorted by semester. Please note that although the projects here are outstanding for various reasons, none of these are perfect. These are all student work and not perfect model examples.
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Analyzing Gun Violence Trends from 2014-2021
by Florencia Froebel Guillen, Emily Huang, James Kelly
1.An Exploratory Analysis of the Relationship between Housing Prices and Evictions in the U.S. by Paul Petit and Adam Sohn
- paper
- code
- Reason for selection: "Clear stepwise dissection of the question, Beautiful intuitive figures, well rendered and documented. great job, especially finding and exploring the counter-intuitive relationship between afferdability and evictions. This actually is worth doing more deep analysis. It suggests the grass might really be greener in some places over others (Miami)." -Prof Kleemann
2.Chicago Crime by Jonathan Hilton, Thanh Le, and Eddie Zhu.
3.New York Traffic by David Gamez and Ernesto Del Valle
4.NHL Home Ice Advantage By Robert Bergan, Brent Biseda and Michael Hardy
5.[Carthook Data] by Dr. Alexander Müller, Kevin Stone
- Reason for selection: "Data types; research questions; from overview to increasing details; charts/choropleth; conclusions" - Prof Benoit