The "Uber Data Analysis using R" project addresses the need to extract actionable insights
from the extensive data generated by Uber rides. This analysis aims to understand the
temporal and spatial distribution of rides, identify peak usage periods, and uncover factors
influencing ride demand, such as weather and public holidays. By leveraging R's data
manipulation and visualization capabilities, the project seeks to provide Uber with valuable
insights to optimize service delivery, enhance operational efficiency, and improve customer
satisfaction.