https://github.com/faisal-fida/box-office-mojo-analysis

Analyzed box office data from Box Office Mojo, exploring relationships between worldwide revenue, release year, and a combined score that considers both factors. It includes visualizations like scatter plots, bar charts, and identifies top and bottom performing movies.
https://github.com/faisal-fida/box-office-mojo-analysis

box-office data-analysis data-science python revenue-prediction visualization

Last synced: 7 days ago
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Analyzed box office data from Box Office Mojo, exploring relationships between worldwide revenue, release year, and a combined score that considers both factors. It includes visualizations like scatter plots, bar charts, and identifies top and bottom performing movies.

• Host: GitHub
• URL: https://github.com/faisal-fida/box-office-mojo-analysis
• Owner: faisal-fida
• Created: 2024-09-08T18:09:45.000Z (4 months ago)
• Default Branch: main
• Last Pushed: 2024-09-08T18:10:46.000Z (4 months ago)
• Last Synced: 2024-11-10T21:16:07.202Z (2 months ago)
• Topics: box-office, data-analysis, data-science, python, revenue-prediction, visualization
• Language: Jupyter Notebook
• Size: 109 KB
• Stars: 0
• Watchers: 1
• Forks: 0
• Open Issues: 0
• Metadata Files:
  • Readme: README.md

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# Box-Office-Mojo-Analysis

Analyzed box office data from Box Office Mojo, exploring relationships between worldwide revenue, release year, and a combined score that considers both factors. It includes visualizations like scatter plots, bar charts, and identifies top and bottom performing movies.