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https://github.com/mihirh19/uber-analysis
Uber's 2016 dataset analysis offers insightful information about the company's operations and user behaviour. Patterns and trends can be discovered by looking at variables like trip time, distance travelled, and pickup/drop-off locations. Uber may use this information to detect high-demand locations, increase overall efficiency, and optimise driver
https://github.com/mihirh19/uber-analysis
matplotlib numpy opendatasets pandas seaborn
Last synced: 18 days ago
JSON representation
Uber's 2016 dataset analysis offers insightful information about the company's operations and user behaviour. Patterns and trends can be discovered by looking at variables like trip time, distance travelled, and pickup/drop-off locations. Uber may use this information to detect high-demand locations, increase overall efficiency, and optimise driver
- Host: GitHub
- URL: https://github.com/mihirh19/uber-analysis
- Owner: mihirh19
- License: mit
- Created: 2023-06-28T04:25:05.000Z (over 1 year ago)
- Default Branch: main
- Last Pushed: 2023-09-19T17:05:14.000Z (about 1 year ago)
- Last Synced: 2023-09-19T19:56:29.945Z (about 1 year ago)
- Topics: matplotlib, numpy, opendatasets, pandas, seaborn
- Language: Jupyter Notebook
- Homepage:
- Size: 680 KB
- Stars: 0
- Watchers: 1
- Forks: 0
- Open Issues: 0