PREDICTION OF UBER RIDES DATA ANALYSIS USING PYTHON
International Journal of Computer Science (IJCS) Published by SK Research Group of Companies (SKRGC)
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Abstract
Python is the best language for understanding and delving into real-world issues. Guido van Rossum introduced Python, a potent high-level object-oriented programming language. I have first introduced the features and characteristics of Python programming in this work. The paper also explains why Python is said to be the programming language with the quickest rate of growth. This paper's main goal is to calculate and examine the hourly and time zone-based supply and demand gap for Uber taxi services. Following study, we made an effort to determine the most troublesome time zone and, more precisely, the most problematic hour during which the supply and demand disparity is at its widest. We have suggested various ways to close this gap in order to raise customer happiness and boost the business success of the organization, based on the analysis conducted for this article. Python has been utilized as a programming and analysis tool to simplify this analysis.
References
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Keywords
UBER, Sales, Languages.
