DD_vs_SB: Dunkin Donuts vs Starbucks
In tessington/qsci381: Data used in QSCI 381, University of Washington

Description Usage Format Source Examples

Number of Dunkin Donuts & Starbucks, median income, and population in 1024 census tracts in eastern Massachusetts in 2016.

DD_vs_SB

A data frame of 1024 rows representing census tracts and 6 variables

county: County where census tract is located. Either Bristol, Essex, Middlesex, Norfolk, Plymouth, or Suffolk county
FIPS: Federal Information Processing Standards code identifying census tract
median_income: Median income of census tract
population: Population of census tract
shop_type: Coffee shop type: Dunkin Donuts or Starbucks
shops: Number of shops

US Census Bureau. Code used to scrape data available at https://github.com/DelaneyMoran/FinalProject

# Compute correlation between a census tract's median income and number of cafes of
# each type after removing two cases where median_income is missing
library(dplyr)
DD_vs_SB %>%
  mutate(shops_per_1000 = 1000 * shops / population) %>%
  filter(!is.na(median_income)) %>%
  group_by(shop_type) %>%
  summarize(cor = cor(median_income, shops_per_1000))