TV-Halftime-Shows-and-the-Big-Game

This reporistory load, clean and visualize the data of super_bowls , the muscians who performed during many games and the tv channels who broadcasted the matches.

Dependencies

• Pandas
• Matplotlib
• Seaborn
• Numpy

Dataset:

• super_bowls.csv
• tv.csv
• halftime_musicians.csv

Usage

$ python data visulaization.py

In this bar graph we visualized that how exciting were the super bowl matches. Combined points are total points scored byboth teams playing the match. Here we can see that there were a few high scoring matches and a few low scoring matches but there were many matches with combined points between 40 and 50. This shows that super bowl matches are quite interesting to watch.

In this bar graph we visualized that how nail biting matches are. We can visualize that most matches are neck to neck as the longest bars in the range with low score difference i.e between 1 to 15.

i) In the first graph we visualized that with the further seasons of super bowl it became more appealing for people. With the saesons the viwers kept on increasing.

ii) In the second graph we saw that for inital seasons the rating kept increasing but after that for different saesons the trend is undecided.

iii) With the further seasons of suuper bowls inverstor find it a good source to invest and many advertisements were sold to the matches or it can be concluded there were many sponsors for super bowl