Using mtcars dataset, i want to count ow many cars in this data set have at least 6 cylinders (cyl).

I use length() after filtering, and get a result of 11

library(dplyr)
mtcars %>%
  filter(
    cyl > 6
  ) %>%
  length()

However the code provided by tutorial is like this, and returns result of 14

library(dplyr)
mtcars %>%
  filter(cyl > 6) %>%
  summarise(n())

by viewing the result directly after filtering, it should also be 14

                 mpg cyl  disp  hp drat    wt  qsec vs am gear carb

Hornet Sportabout 18.7 8 360.0 175 3.15 3.440 17.02 0 0 3 2
Duster 360 14.3 8 360.0 245 3.21 3.570 15.84 0 0 3 4
Merc 450SE 16.4 8 275.8 180 3.07 4.070 17.40 0 0 3 3
Merc 450SL 17.3 8 275.8 180 3.07 3.730 17.60 0 0 3 3
Merc 450SLC 15.2 8 275.8 180 3.07 3.780 18.00 0 0 3 3
Cadillac Fleetwood 10.4 8 472.0 205 2.93 5.250 17.98 0 0 3 4
Lincoln Continental 10.4 8 460.0 215 3.00 5.424 17.82 0 0 3 4
Chrysler Imperial 14.7 8 440.0 230 3.23 5.345 17.42 0 0 3 4
Dodge Challenger 15.5 8 318.0 150 2.76 3.520 16.87 0 0 3 2
AMC Javelin 15.2 8 304.0 150 3.15 3.435 17.30 0 0 3 2
Camaro Z28 13.3 8 350.0 245 3.73 3.840 15.41 0 0 3 4
Pontiac Firebird 19.2 8 400.0 175 3.08 3.845 17.05 0 0 3 2
Ford Pantera L 15.8 8 351.0 264 4.22 3.170 14.50 0 1 5 4
Maserati Bora 15.0 8 301.0 335 3.54 3.570 14.60 0 1 5 8

Now i have learnt that summarise(n()) is bettertext, and there are more better methods counting after filtering, but i am still confused why my code returns a different result and where the 11 comes from.

Thanks