Idea 1 - Will Bartlett

[wbartlett1]

No description provided.

[malenamalka]

This is a really interesting idea! I would suggest maybe looking at census data (if not included in the PennDOT or TDOT data frames) to look at the demographics of the people involved in the crashes (focusing on age, gender and maybe income). I'm interested to see how you will prove this relationship between crashes and mobile sports betting!

[ernbilen]

Final presentation comments:
-The amount of data scraped is so cool.
-Average price changed by $200 is such a big highlight. Maybe mention this in the 'why you should care about our research' discussion at the very beginning.
-Very cool dashboard. Try adding some catch images in there somewhere in a smooth way. Probably like blueprint style different planes from birdeye view or something similar.
-Here is another thing you can add to your dashboard: average size or weight of plane by origin airport or origin destination combos. This can be a single bar chart or map.
-Boeing, airbus competition discussion is interesting to see. Maybe do one chart just for that.
-Exchange rate on the dashboard is really cool.
-Great idea to compare different model performances.
-What is the big takeaway? In terms of what the consumers are able to do, they usually come in two types: those who need to go to a set destination, and those who are shopping for cheap flights to a destination point and they may be flexible about destination. For first, when to buy is the only thing you can choose, for second you choose both destination and when to buy.