Forecasting Parking Meter Transactions in San Diego
A data science project to forecast 90-day and 180-day future volume of parking meter transactions in the City of San Diego. Tools include time-series modeling with the tsibble and tidyverts frameworks in R, and data preprocessing in Python
There is also a related Tableau dashboard exploring the initial data findings and providing a motivation to forecast parking meter activity
Parking meter data is sourced from the San Diego Open Data Portal and weather data from the National Oceanic & Atmospheric Administration (NOAA) API