flights %>% filter(month == 1, day == 1)
flights %>% arrange(year, month)
flights %>% select(year, month)
flights %>% distinct()
flights %>% mutate(flights, gain = arr_delay - dep_delay, gain_per_hour = gain / (air_time / 60) )
flights %>% group_by(column)
flights %>% summarise( count = n(), dist = mean(distance, na.rm = TRUE), s = sum(distance, na.rm = TRUE) )
Functions: n_distinct(x), first(x), last(x), nth(x, n)
Add the following code to your website.
For more information on customizing the embed code, read Embedding Snippets.