Filter by largest and smallest values in data frame by column

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I created this data frame with station IDs and respective counts. Now I want to find the 10 largest values and the 10 smallest values in this data frame and save them in a new data frame.

station_activity <- tripdata %>% count(start.station.id)
station_activity <- station_activity %>% filter(n > 6100 & n < 100)

Line 1 was used to create the data frame seen in the picture and line 2 was used to filter by the values, but that does obviously result in an empty data frame. Is there a better version to do so, without writing a long conditional code?

Dataframe to be filtered

dataframe filter r
1 Answers

The condition should be OR (|) and not AND (&) as a value can't be both greater than 6100 and less than 100

library(dplyr)
station_activity %>% 
   filter(n > 6100 | n < 100)

If we want to get the top 10 and bottom 10, arrange by the 'n' column from the count, and slice the first 10 and last 10 rows

tripdata %>% 
   count(start.station.id) %>%
   arrange(n) %>%
   slice(c(head(row_number(), 10), tail(row_number(), 10)))
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