In my project, I explored filming trends around the city using NYC Open Data’s Film Permits dataset. The dataset contains information on film permits issued from 2012 through early 2021. I used Python and the module pandas to investigate which areas of the city were filmed most often, what types of productions were filmed where, and how many permits were issued in each borough annually. Because I was interested in spatial analysis, I paid particular attention to the zip codes associated with each permit. In many cases, a single permit was associated with multiple zip codes, all of which were stored as a string. In order to complete my analysis, I had to convert these unwieldy strings into lists of zip codes and loop through the data multiple times. Ultimately, I wrote three Python scripts resulting in four CSV files, which I used to create visualizations with Tableau Public.