Datasets

[stuartong]

For highlighting and discussing all alternative datasets we can consider:

Main:

1. NYC Tickets
2. Uber
3. Yelp

Issues: Yelp: public dataset is not NYC - @mgendia working on it Uber: spotty and missing some months

Alternatives proposed:

1. NYC Collision data - @sheilavp see if there is correlation between models in terms of accident and tickets
2. New York Taxi Data - might be an alternative to Uber? Haven't explored it but heard on office hours it's quite a rich data set

[sheilavp]

New York Taxi data, I saw it before. We can pick both yellow and green taxi (yellow is mostly Manhattan island, and green is mostly Brooklyn if I remember correctly) OR pick just one taxi colour, but it is definitely another huge data.....

[stuartong]

Problem is taxis have been around for ages so can't see effect in violations - instead see effect of uber on taxi rides?

[stuartong]

Also maybe we are finding questions in the data when we should put ourselves in the shoes of maybe NYC city officials or something to that effect to ask more interesting questions that are relevant

[stuartong]

• Parking Lot Data - how it affects tickets?

• Traffic Volume Data thought this was an interesting data set related to traffic especially because it is across the day by the hour - imagine if we mapped daily traffic trends over the last 4 years in some infographic

• Directory of Eateries - if no yelp data maybe we can map a density of eateries in a specific area instead and correlate that to traffic and ticket trends?

• Crimedata - super rich data set too right down to lat long of arrests and shootings - if we are going down the criminality route