Indeed, this work looks into the scores of the games – Super Bowl, the popularity of television viewership and different facets of the halftime shows to understand what contributes to the success of the event. Therefore, understanding past data is the goal of this paper so as to provide information to event organisers and advertisers.
Our methodology includes:
- Data Collection: Collecting and sorting information regarding the results of the Super Bowl games, the number of TV spectators, and the”.
- Data Cleaning: Situating and dealing with the untidy data, and cleaning the datasets for for analytics.
- Descriptive Analysis: Exploring the distributions of game scores, the point difference, and the viewership trends.
- Visualization: Creating graphics to show the trends in game scores, the number of people attending, half time shows performances.
- Comparative Analysis: To understand the key drivers of the Super Bowl consumption this study will use historical data to assess consumers’ trends.
The study also reveals that those games which are realized closely are usually favored heavily in terms of viewership and some performers in halftime show are more popular among the audience, too. The findings of this analysis contribute to event organisers’ and advertisers’ knowledge about the promotion of the Super Bowl effectively. Thus, the study focuses on analyzing data regarding understanding and improving the colleges’ large-scale events.
