In dtkaplan/statPREPpackage: Calculations to support the statPREP tutorials

Formatting the Starbucks data

library(tidyverse)

Starbucks <- readr::read_csv("starbucks.csv")
Starbucks %<>% 
  rename(long = Longitude, lat = Latitude, postcode = Postcode, ownership = `Ownership Type`, country = Country, state = `State/Province`, city = City) %>%
  select(long, lat, postcode, ownership, country, state, city)
# save(Starbucks, file = "../../data/Starbucks.rda")

dtkaplan/statPREPpackage documentation built on May 15, 2019, 5:22 p.m.