Admittedly, this investigation was a bit of a failure. Knowing which zip codes were the most filmed, I wanted to drill down and see how much each type of production was filmed in each zip code. The dataset indicates different production types through Category. I used Python to create a nested dictionary where each zip code was a key and the corresponding value was a dictionary showing categories as keys and permit counts as values. This could be useful to query if you were interested in retrieving category data for a specific zip code. Holistically, though, this did not translate into a good visualization; there are simply too many zip codes covered.