https://github.com/arunesh-tiwari/superbowl-tv-analysis
This project gives you an opportunity to apply the skills from Intermediate Python for Data Science.
https://github.com/arunesh-tiwari/superbowl-tv-analysis
Last synced: about 2 months ago
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This project gives you an opportunity to apply the skills from Intermediate Python for Data Science.
- Host: GitHub
- URL: https://github.com/arunesh-tiwari/superbowl-tv-analysis
- Owner: Arunesh-Tiwari
- Created: 2023-03-09T11:38:15.000Z (about 2 years ago)
- Default Branch: main
- Last Pushed: 2023-03-09T11:59:10.000Z (about 2 years ago)
- Last Synced: 2025-02-14T15:44:28.570Z (4 months ago)
- Language: Jupyter Notebook
- Size: 102 KB
- Stars: 0
- Watchers: 1
- Forks: 0
- Open Issues: 0
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Metadata Files:
- Readme: README.md
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README
# SuperBowl-TV-Analysis
##
In this notebook, I loaded, cleaned, then explored Super Bowl game, television, and halftime show data. I visualized the distributions of combined points, point differences, and halftime show performances using histograms. I used line plots to see how ad cost increases lagged behind viewership increases. And discovered that blowouts do appear to lead to a drop in viewers.