PUI2017 Extra Credit Project Proposal
Yellow Cabs and Weather <Emily Padvorac, ep2247, ep2247>
Problem Description:
I am going to use 2016 yellow taxi trip data, census data, and weather data to see if people who live in higher income areas are more prone to use taxis on days when it is cold, and on days when there is precipitation compared to those who live in lower income areas. I will use 2016 yellow taxi trip data for the average coldest and warmest months for the year 2016. I will also exclude taxi trips that were taken to airports. I also will look to see if shorter trips were made on days when there was precipitation.
Data:
2016 yellow taxi trip data
- look at number of passengers per trip each day of the months being studied
- look at trip pickup date time to get the day of the month
- look at trip drop-off date time
NCDC local climatological data (LCD)
- Obtained data for the NY City Central Park, New York ASOS Station
- Obtain the daily high temperature
- Obtain daily precipitation amounts
2016 ACS 1 year estimate
- obtain median household income
Analysis:
I will run a Z test to compare the months of January and August. I will search for any statistical significance between the two months.
Bar graphs will be used to visually see the number of people that utilized taxis each day during the months of January and August. They will also be used to gather the number of people that utilized taxis on the days where precipitation occurred.
Geopandas will be used to plot median household income and plot trip pick up areas