asmaamohamed1989 / analyzing-tv-data Goto Github PK

Project Description With Intermediate Python under your belt, you can already analyze and extract meaningful insights from various sources. For this set of projects, you will use a combination of data manipulation and visualization to explore television data. In this project's guided variant, you will look at Super Bowl Data, generating insights into game outcomes, viewership, and even halftime shows. In the unguided variant of this project, you'll develop an informative plot that helps to visualize the viewership and quality of The Office throughout its nine seasons. Project Tasks 1. TV, halftime shows, and the Big Game 2. Taking note of dataset issues 3. Combined points distribution 4. Point difference distribution 5. Do blowouts translate to lost viewers? 6. Viewership and the ad industry over time 7. Halftime shows weren't always this great 8. Who has the most halftime show appearances? 9. Who performed the most songs in a halftime show? 10. Conclusion