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

Technical paper

Tableau Dasboard

GitHub repository

Non-technical (business) presentation

Slide deck

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