19.1 Group-level predictors - Airbnb Data Revisited

  • Return to Airbnb data, this time look at (log) price.
data(airbnb)
airbnb %>% 
  summarize(nlevels(neighborhood), min(price), max(price))
##   nlevels(neighborhood) min(price) max(price)
## 1                    43         10       1000
  • Prices look lognormal: