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Analyzing TV Data

Beginner
Updated 09/2024
Use data manipulation and visualization to explore one of two different television broadcast datasets: The Super Bowl and hit sitcom The Office!
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PythonData ManipulationData Visualization45 minutes10 Tasks1,500 XP88,829

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Project Description

Analyzing TV Data

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.

Analyzing TV Data

Use data manipulation and visualization to explore one of two different television broadcast datasets: The Super Bowl and hit sitcom The Office!
Start Project for Free
  • 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

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