Create DATA 400 Project Proposal Version 1.pdf

[alaina-rongione]

My initial Project Proposal

[malenamalka]

This is such an interesting idea and I can't wait to read your findings! Just some different ideas to consider to expand your research. You could cluster the movies by director or producer and see how those impact the ratings received! I saw that you are looking only at classical novels (and I bet these adaptations were created a couple of years ago). But maybe expanding your scope and looking at more recent books and movies can also serve as a comparison point between movie adaptations of classics and of contemporary books (especially those that are produced by bigger streaming services like Netflix, Prime Video or Hulu).
Can't wait to see your results!

[alaina-rongione]

Submitted DATA 400 Idea 2 for Mini Project

[ernbilen]

I like your second idea a lot too. Check out my course notes from Data 101, pages 13-15 might be of interest to you: https://ernbilen.github.io/Data101_Fall25/notes/week1/slides.html#30

[alaina-rongione]

Mini Project posted

[ernbilen]

Final presentation comments:
-Nice discussion on the decisions you made.
-Great EDA time series graphs.
-Ticket price graph is really cool too. I would plot inflation adjusted prices.
-Nice discussion of background of Super Bowl, old super bowls etc.
-Nice to see capacity and attendance is strongly correlated. I think outliers are really interesting here. Like empty stadiums etc. Also, curious about the r squared of this fit.
-I am extremely curious to know: do ppl go to superbowl for the teams, that is, do ppl care about who is playing. And do ppl care about who is doing the halftime show.
-Nice prediction exercise at the end.
-Very interesting to see at the end that ppl don't seem to care about if better teams are playing. Maybe a future idea is to check the fanbase size of each superbowl team. To see if it's the teams' fans going or just football fans are going.