Sorting output of tally / count (dplyr) [duplicate] - r

Question

This question already has answers here:
Arrange a grouped_df by group variable not working
(2 answers)
Closed 6 years ago.
This should be easy, but I can't find a straight forward way to achieve it. My dataset looks like the following:
DisplayName Nationality Gender Startyear
1 Alfred H. Barr, Jr. American Male 1929
2 Paul C\216zanne French Male 1929
3 Paul Gauguin French Male 1929
4 Vincent van Gogh Dutch Male 1929
5 Georges-Pierre Seurat French Male 1929
6 Charles Burchfield American Male 1929
7 Charles Demuth American Male 1929
8 Preston Dickinson American Male 1929
9 Lyonel Feininger American Male 1929
10 George Overbury ("Pop") Hart American Male 1929
...
I want to group by DisplayName and Gender, and get the counts for for each of the names (they are repeated several times on the list, with different year information).
The following 2 commands give me the same output, but they are not sorted by the count output "n". Any ideas on how to achieve this?
artists <- data %>%
filter(!is.na(Gender) & Gender != "NULL") %>%
group_by(DisplayName, Gender) %>%
tally(sort = T) %>%
arrange(desc(n))
artists <- data %>%
filter(!is.na(Gender) & Gender != "NULL") %>%
count(DisplayName, Gender, sort = T)
DisplayName Gender n
(chr) (chr) (int)
1 A. F. Sherman Male 1
2 A. G. Fronzoni Male 2
3 A. Lawrence Kocher Male 3
4 A. M. Cassandre Male 21
5 A. R. De Ycaza Female 1
6 A.R. Penck (Ralf Winkler) Male 20
7 Aaron Siskind Male 25
8 Abigail Perlmutter Female 1
9 Abraham Rattner Male 5
10 Abraham Walkowitz Male 17
.. ... ... ...

Answer 1

Your data is grouped by two variables. So after tally, your dataframe is still grouped by Display name. So arrange(desc(n)) is sorting but by Disply name. If you want to sort the all dataframe by column n, just ungroup before sorting. try this :
artists <- data %>%
filter(!is.na(Gender) & Gender != "NULL") %>%
group_by(DisplayName, Gender) %>%
tally(sort = T) %>%
ungroup() %>%
arrange(desc(n))