Tidytuesday

Earlier this week, I had made a calendar visualization of some data that I had come across participating in TidyTuesday in December. The data set was the set of tickets issued for parking violations in the city of Philadelphia, Pennsylvania in 2017. Originally, I had made a few other visualizations and a friend of mine had mentioned that they would be interested in seeing visualizations of the revenues generated by the city due to these parking tickets.

Reading data and data manipulation Plot 1: Histogram of ticket issue times (hour) Adding new variables Making the plot Annotating the plot Plot 2: Day of week details Finding total tickets per day Making a faceted line chart Alternative way to make a very similar chart Making an interactive chart for the web with plotly Plot 3: Mapping parking violations by zip code Calculating tickets per day and grouping zip codes Reading in shapefile (.