Forcats reordering not working for ggplot

Question

I have the following code for plotting a simple lollipop chart for my data:

p <-
  data %>%   mutate(Activity_Name = fct_reorder(Activity_Name, count)) %>%
  ggplot(aes(x = Activity_Name, y = count)) +
  geom_segment(aes(
    x = Activity_Name,
    xend = Activity_Name,
    y = 0,
    yend = count
  ),
  color = "skyblue") +
  geom_point(color = "#F2F7F2",
             size = 5,
             alpha = 0.6) +
  theme_light() +
  scale_y_log10() +
  coord_flip()

I would like to order this in descending order of Activity Name's counts. Even though I've included that in the code, the below code produces the following graph:

[![enter image description here][1]][1]

What am I doing wrong and why is this failing? My dput is shared below:

Dput here

structure(list(Day = c("01-01-2021", "01-01-2021", "01-01-2021", 
"01-01-2021", "01-01-2021", "01-01-2021", "01-01-2021", "01-01-2021", 
"01-01-2021", "01-01-2021", "01-01-2021", "01-01-2021", "01-01-2021", 
"01-01-2021", "01-01-2021", "01-01-2021", "01-01-2021", "01-01-2021", 
"01-01-2021", "01-01-2021", "01-01-2021", "01-01-2021", "01-01-2021", 
"01-01-2021", "01-02-2021", "01-02-2021", "01-02-2021", "01-02-2021", 
"01-02-2021", "01-02-2021", "01-02-2021", "01-02-2021", "01-02-2021", 
"01-02-2021", "01-02-2021", "01-02-2021", "01-02-2021", "01-02-2021", 
"01-02-2021", "01-02-2021", "01-02-2021", "01-02-2021", "01-02-2021", 
"01-02-2021", "01-02-2021", "01-02-2021", "01-02-2021", "01-02-2021", 
"01-03-2021", "01-03-2021", "01-03-2021", "01-03-2021", "01-03-2021", 
"01-03-2021", "01-03-2021", "01-03-2021", "01-03-2021", "01-03-2021", 
"01-03-2021", "01-03-2021", "01-03-2021", "01-03-2021", "01-03-2021", 
"01-03-2021", "01-03-2021", "01-03-2021", "01-03-2021", "01-03-2021", 
"01-03-2021", "01-03-2021", "01-03-2021", "01-03-2021", "01-04-2021", 
"01-04-2021", "01-04-2021", "01-04-2021", "01-04-2021", "01-04-2021", 
"01-04-2021", "01-04-2021", "01-04-2021", "01-04-2021", "01-04-2021", 
"01-04-2021", "01-04-2021", "01-04-2021", "01-04-2021", "01-04-2021", 
"01-04-2021", "01-04-2021", "01-04-2021", "01-04-2021", "01-04-2021", 
"01-04-2021", "01-04-2021", "01-04-2021", "01-05-2021", "01-05-2021", 
"01-05-2021", "01-05-2021", "01-05-2021", "01-05-2021", "01-05-2021", 
"01-05-2021", "01-05-2021", "01-05-2021", "01-05-2021", "01-05-2021", 
"01-05-2021", "01-05-2021", "01-05-2021", "01-05-2021", "01-05-2021", 
"01-05-2021", "01-05-2021", "01-05-2021", "01-05-2021", "01-05-2021", 
"01-05-2021", "01-05-2021", "01-06-2021", "01-06-2021", "01-06-2021", 
"01-06-2021", "01-06-2021", "01-06-2021", "01-06-2021", "01-06-2021", 
"01-06-2021", "01-06-2021", "01-06-2021", "01-06-2021", "01-06-2021", 
"01-06-2021", "01-06-2021", "01-06-2021", "01-06-2021", "01-06-2021", 
"01-06-2021", "01-06-2021", "01-06-2021", "01-06-2021", "01-06-2021", 
"01-06-2021", "01-07-2021", "01-07-2021", "01-07-2021", "01-07-2021", 
"01-07-2021", "01-07-2021", "01-07-2021", "01-07-2021", "01-07-2021", 
"01-07-2021", "01-07-2021", "01-07-2021", "01-07-2021", "01-07-2021", 
"01-07-2021", "01-07-2021", "01-07-2021", "01-07-2021", "01-07-2021", 
"01-07-2021", "01-07-2021", "01-07-2021", "01-07-2021", "01-07-2021", 
"01-08-2021", "01-08-2021", "01-08-2021", "01-08-2021", "01-08-2021", 
"01-08-2021", "01-08-2021", "01-08-2021", "01-08-2021", "01-08-2021", 
"01-08-2021", "01-08-2021", "01-08-2021", "01-08-2021", "01-08-2021", 
"01-08-2021", "01-08-2021", "01-08-2021", "01-08-2021", "01-08-2021", 
"01-08-2021", "01-08-2021", "01-08-2021", "01-08-2021", "01-09-2021", 
"01-09-2021", "01-09-2021", "01-09-2021", "01-09-2021", "01-09-2021", 
"01-09-2021", "01-09-2021", "01-09-2021", "01-09-2021", "01-09-2021", 
"01-09-2021", "01-09-2021", "01-09-2021", "01-09-2021", "01-09-2021", 
"01-09-2021", "01-09-2021", "01-09-2021", "01-09-2021", "01-09-2021", 
"01-09-2021", "01-09-2021", "01-09-2021", "01-10-2021", "01-10-2021", 
"01-10-2021", "01-10-2021", "01-10-2021", "01-10-2021", "01-10-2021", 
"01-10-2021", "01-10-2021", "01-10-2021", "01-10-2021", "01-10-2021", 
"01-10-2021", "01-10-2021", "01-10-2021", "01-10-2021", "01-10-2021", 
"01-10-2021", "01-10-2021", "01-10-2021", "01-10-2021", "01-10-2021", 
"01-10-2021", "01-10-2021", "01-11-2021", "01-11-2021", "01-11-2021", 
"01-11-2021", "01-11-2021", "01-11-2021", "01-11-2021", "01-11-2021", 
"01-11-2021", "01-11-2021", "01-11-2021", "01-11-2021", "01-11-2021", 
"01-11-2021", "01-11-2021", "01-11-2021", "01-11-2021", "01-11-2021", 
"01-11-2021", "01-11-2021", "01-11-2021", "01-11-2021", "01-11-2021", 
"01-11-2021", "01-12-2021", "01-12-2021", "01-12-2021", "01-12-2021", 
"01-12-2021", "01-12-2021", "01-12-2021", "01-12-2021", "01-12-2021", 
"01-12-2021", "01-12-2021", "01-12-2021", "01-12-2021", "01-12-2021", 
"01-12-2021", "01-12-2021", "01-12-2021", "01-12-2021", "01-12-2021", 
"01-12-2021", "01-12-2021", "01-12-2021", "01-12-2021", "01-12-2021", 
"01-13-2021", "01-13-2021", "01-13-2021", "01-13-2021", "01-13-2021", 
"01-13-2021", "01-13-2021", "01-13-2021", "01-13-2021", "01-13-2021", 
"01-13-2021", "01-13-2021", "01-13-2021", "01-13-2021", "01-13-2021", 
"01-13-2021", "01-13-2021", "01-13-2021", "01-13-2021", "01-13-2021", 
"01-13-2021", "01-13-2021", "01-13-2021", "01-13-2021", "01-14-2021", 
"01-14-2021", "01-14-2021", "01-14-2021", "01-14-2021", "01-14-2021", 
"01-14-2021", "01-14-2021", "01-14-2021", "01-14-2021", "01-14-2021", 
"01-14-2021", "01-14-2021", "01-14-2021", "01-14-2021", "01-14-2021", 
"01-14-2021", "01-14-2021", "01-14-2021", "01-14-2021", "01-14-2021", 
"01-14-2021", "01-14-2021", "01-14-2021", "01-15-2021", "01-15-2021", 
"01-15-2021", "01-15-2021", "01-15-2021", "01-15-2021", "01-15-2021", 
"01-15-2021", "01-15-2021", "01-15-2021", "01-15-2021", "01-15-2021", 
"01-15-2021", "01-15-2021", "01-15-2021", "01-15-2021", "01-15-2021", 
"01-15-2021", "01-15-2021", "01-15-2021", "01-15-2021", "01-15-2021", 
"01-15-2021", "01-15-2021"), Hour = c("00:00", "01:00", "02:00", 
"03:00", "04:00", "05:00", "06:00", "07:00", "08:00", "09:00", 
"10:00", "11:00", "12:00", "13:00", "14:00", "15:00", "16:00", 
"17:00", "18:00", "19:00", "20:00", "21:00", "22:00", "23:00", 
"00:00", "01:00", "02:00", "03:00", "04:00", "05:00", "06:00", 
"07:00", "08:00", "09:00", "10:00", "11:00", "12:00", "13:00", 
"14:00", "15:00", "16:00", "17:00", "18:00", "19:00", "20:00", 
"21:00", "22:00", "23:00", "00:00", "01:00", "02:00", "03:00", 
"04:00", "05:00", "06:00", "07:00", "08:00", "09:00", "10:00", 
"11:00", "12:00", "13:00", "14:00", "15:00", "16:00", "17:00", 
"18:00", "19:00", "20:00", "21:00", "22:00", "23:00", "00:00", 
"01:00", "02:00", "03:00", "04:00", "05:00", "06:00", "07:00", 
"08:00", "09:00", "10:00", "11:00", "12:00", "13:00", "14:00", 
"15:00", "16:00", "17:00", "18:00", "19:00", "20:00", "21:00", 
"22:00", "23:00", "00:00", "01:00", "02:00", "03:00", "04:00", 
"05:00", "06:00", "07:00", "08:00", "09:00", "10:00", "11:00", 
"12:00", "13:00", "14:00", "15:00", "16:00", "17:00", "18:00", 
"19:00", "20:00", "21:00", "22:00", "23:00", "00:00", "01:00", 
"02:00", "03:00", "04:00", "05:00", "06:00", "07:00", "08:00", 
"09:00", "10:00", "11:00", "12:00", "13:00", "14:00", "15:00", 
"16:00", "17:00", "18:00", "19:00", "20:00", "21:00", "22:00", 
"23:00", "00:00", "01:00", "02:00", "03:00", "04:00", "05:00", 
"06:00", "07:00", "08:00", "09:00", "10:00", "11:00", "12:00", 
"13:00", "14:00", "15:00", "16:00", "17:00", "18:00", "19:00", 
"20:00", "21:00", "22:00", "23:00", "00:00", "01:00", "02:00", 
"03:00", "04:00", "05:00", "06:00", "07:00", "08:00", "09:00", 
"10:00", "11:00", "12:00", "13:00", "14:00", "15:00", "16:00", 
"17:00", "18:00", "19:00", "20:00", "21:00", "22:00", "23:00", 
"00:00", "01:00", "02:00", "03:00", "04:00", "05:00", "06:00", 
"07:00", "08:00", "09:00", "10:00", "11:00", "12:00", "13:00", 
"14:00", "15:00", "16:00", "17:00", "18:00", "19:00", "20:00", 
"21:00", "22:00", "23:00", "00:00", "01:00", "02:00", "03:00", 
"04:00", "05:00", "06:00", "07:00", "08:00", "09:00", "10:00", 
"11:00", "12:00", "13:00", "14:00", "15:00", "16:00", "17:00", 
"18:00", "19:00", "20:00", "21:00", "22:00", "23:00", "00:00", 
"01:00", "02:00", "03:00", "04:00", "05:00", "06:00", "07:00", 
"08:00", "09:00", "10:00", "11:00", "12:00", "13:00", "14:00", 
"15:00", "16:00", "17:00", "18:00", "19:00", "20:00", "21:00", 
"22:00", "23:00", "00:00", "01:00", "02:00", "03:00", "04:00", 
"05:00", "06:00", "07:00", "08:00", "09:00", "10:00", "11:00", 
"12:00", "13:00", "14:00", "15:00", "16:00", "17:00", "18:00", 
"19:00", "20:00", "21:00", "22:00", "23:00", "00:00", "01:00", 
"02:00", "03:00", "04:00", "05:00", "06:00", "07:00", "08:00", 
"09:00", "10:00", "11:00", "12:00", "13:00", "14:00", "15:00", 
"16:00", "17:00", "18:00", "19:00", "20:00", "21:00", "22:00", 
"23:00", "00:00", "01:00", "02:00", "03:00", "04:00", "05:00", 
"06:00", "07:00", "08:00", "09:00", "10:00", "11:00", "12:00", 
"13:00", "14:00", "15:00", "16:00", "17:00", "18:00", "19:00", 
"20:00", "21:00", "22:00", "23:00", "00:00", "01:00", "02:00", 
"03:00", "04:00", "05:00", "06:00", "07:00", "08:00", "09:00", 
"10:00", "11:00", "12:00", "13:00", "14:00", "15:00", "16:00", 
"17:00", "18:00", "19:00", "20:00", "21:00", "22:00", "23:00"
), Activity = c("1", "1", "1", "1", "1", "1", "1", "1", "23", 
"2", "23", "23", "23", "23", "8", "8", "15", "15", "23", "23", 
"23", "2", "23", "23", "1", "1", "1", "1", "1", "1", "1", "10", 
"23", "10", "23", "23", "23", "23", "23", "8", "8", "23", "23", 
"23", "23", "23", "23", "7", "1", "1", "1", "1", "1", "1", "1", 
"1", "1", "23", "23", "23", "23", "23", "23", "8", "4", "4", 
"15", "15", "15", "2", "2", "23", "7", "1", "1", "1", "1", "1", 
"1", "15", "15", "15", "23", "23", "23", "23", "23", "23", "7.7", 
"7.7", "7.7", "7.7", "2", "15", "15", "15", "1", "1", "1", "1", 
"1", "1", "1", "15", "15", "15", "23", "23", "23", "23", "23", 
"23", "23", "15", "15", "23", "17.1", "17.1", "23", "23", "23", 
"4", "4", "1", "1", "1", "1", "15", "15", "23", "23", "23", "23", 
"23", "8", "8", "8", "8", "15", "2", "15", "15", "23", "1", "1", 
"1", "1", "1", "1", "1", "1", "15", "15", "14", "14", "14", "14", 
"14", "11", "11", "11", "11", "15", "15", "15", "15", "15", "1", 
"1", "1", "1", "1", "1", "1", "1", "1", "7.5", "7.5", "7.5", 
"7.5", "7.5", "7.5", "22", "22", "22", "22", "22", "7.5", "7.5", 
"7.5", "7.5", "1", "1", "1", "1", "1", "1", "1", "1", "1", "22", 
"22", "7.5", "7.5", "7.5", "7.5", "7.5", "16", "8", "8", "15", 
"15", "2", "2", "7.5", "7.5", "1", "1", "1", "1", "1", "1", "1", 
"1", "15", "15", "15", "15", "15", "2", "15", "16", "19", "19", 
"19", "19", "2", "15", "15", "15", "1", "1", "1", "1", "1", "1", 
"1", "1", "1", "5", "5", "16", "16", "16", "1", "1", "1", "1", 
"15", "17", "17", "8", "8", "17", "17", "17", "1", "1", "1", 
"1", "1", "1", "2", "10", "10", "5", "5", "5", "5", "15", "15", 
"23", "23", "23", "23", "23", "23", "16", "1", "1", "1", "1", 
"1", "1", "1", "1", "1", "5", "5", "5", "5", "2", "5", "5", "22", 
"22", "22", "22", "2", "17", "17", "17", "1", "1", "1", "1", 
"1", "1", "1", "19", "19", "19", "19", "19", "15", "2", "1", 
"1", "1", "7.5", "7.5", "7.5", "2", "23", "23", "1", "1", "1", 
"1", "1", "1", "1", "1", "1", "2", "19", "5", "5", "2", "5", 
"5", "5", "5", "16", "16", "7.5", "2", "23", "23", "23"), Activity_Name = structure(c(1L, 
1L, 1L, 1L, 1L, 1L, 1L, 1L, 12L, 10L, 12L, 12L, 12L, 12L, 18L, 
18L, 5L, 5L, 12L, 12L, 12L, 10L, 12L, 12L, 1L, 1L, 1L, 1L, 1L, 
1L, 1L, 2L, 12L, 2L, 12L, 12L, 12L, 12L, 12L, 18L, 18L, 12L, 
12L, 12L, 12L, 12L, 12L, 15L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 
1L, 12L, 12L, 12L, 12L, 12L, 12L, 18L, 13L, 13L, 5L, 5L, 5L, 
10L, 10L, 12L, 15L, 1L, 1L, 1L, 1L, 1L, 1L, 5L, 5L, 5L, 12L, 
12L, 12L, 12L, 12L, 12L, 17L, 17L, 17L, 17L, 10L, 5L, 5L, 5L, 
1L, 1L, 1L, 1L, 1L, 1L, 1L, 5L, 5L, 5L, 12L, 12L, 12L, 12L, 12L, 
12L, 12L, 5L, 5L, 12L, 8L, 8L, 12L, 12L, 12L, 13L, 13L, 1L, 1L, 
1L, 1L, 5L, 5L, 12L, 12L, 12L, 12L, 12L, 18L, 18L, 18L, 18L, 
5L, 10L, 5L, 5L, 12L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 5L, 5L, 
4L, 4L, 4L, 4L, 4L, 3L, 3L, 3L, 3L, 5L, 5L, 5L, 5L, 5L, 1L, 1L, 
1L, 1L, 1L, 1L, 1L, 1L, 1L, 16L, 16L, 16L, 16L, 16L, 16L, 11L, 
11L, 11L, 11L, 11L, 16L, 16L, 16L, 16L, 1L, 1L, 1L, 1L, 1L, 1L, 
1L, 1L, 1L, 11L, 11L, 16L, 16L, 16L, 16L, 16L, 6L, 18L, 18L, 
5L, 5L, 10L, 10L, 16L, 16L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 5L, 
5L, 5L, 5L, 5L, 10L, 5L, 6L, 9L, 9L, 9L, 9L, 10L, 5L, 5L, 5L, 
1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 14L, 14L, 6L, 6L, 6L, 1L, 
1L, 1L, 1L, 5L, 7L, 7L, 18L, 18L, 7L, 7L, 7L, 1L, 1L, 1L, 1L, 
1L, 1L, 10L, 2L, 2L, 14L, 14L, 14L, 14L, 5L, 5L, 12L, 12L, 12L, 
12L, 12L, 12L, 6L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 14L, 14L, 
14L, 14L, 10L, 14L, 14L, 11L, 11L, 11L, 11L, 10L, 7L, 7L, 7L, 
1L, 1L, 1L, 1L, 1L, 1L, 1L, 9L, 9L, 9L, 9L, 9L, 5L, 10L, 1L, 
1L, 1L, 16L, 16L, 16L, 10L, 12L, 12L, 1L, 1L, 1L, 1L, 1L, 1L, 
1L, 1L, 1L, 10L, 9L, 14L, 14L, 10L, 14L, 14L, 14L, 14L, 6L, 6L, 
16L, 10L, 12L, 12L, 12L), .Label = c("Sleeping", "Internet Browsing", 
"IRL Social Time", "Travelling", "Waste/Down Time", "Terrace Time", 
"Other Productive Activities", "TV", "Sports & Exercise", "Eating", 
"Shopping", "Coding", "Online Meetings", "Studying", "Audiobook", 
"Sundaram Playing", "Walking", "Netflix"), class = "factor"), 
    count = c(122L, 122L, 122L, 122L, 122L, 122L, 122L, 122L, 
    63L, 18L, 63L, 63L, 63L, 63L, 13L, 13L, 43L, 43L, 63L, 63L, 
    63L, 18L, 63L, 63L, 122L, 122L, 122L, 122L, 122L, 122L, 122L, 
    4L, 63L, 4L, 63L, 63L, 63L, 63L, 63L, 13L, 13L, 63L, 63L, 
    63L, 63L, 63L, 63L, 2L, 122L, 122L, 122L, 122L, 122L, 122L, 
    122L, 122L, 122L, 63L, 63L, 63L, 63L, 63L, 63L, 13L, 4L, 
    4L, 43L, 43L, 43L, 18L, 18L, 63L, 2L, 122L, 122L, 122L, 122L, 
    122L, 122L, 43L, 43L, 43L, 63L, 63L, 63L, 63L, 63L, 63L, 
    4L, 4L, 4L, 4L, 18L, 43L, 43L, 43L, 122L, 122L, 122L, 122L, 
    122L, 122L, 122L, 43L, 43L, 43L, 63L, 63L, 63L, 63L, 63L, 
    63L, 63L, 43L, 43L, 63L, 2L, 2L, 63L, 63L, 63L, 4L, 4L, 122L, 
    122L, 122L, 122L, 43L, 43L, 63L, 63L, 63L, 63L, 63L, 13L, 
    13L, 13L, 13L, 43L, 18L, 43L, 43L, 63L, 122L, 122L, 122L, 
    122L, 122L, 122L, 122L, 122L, 43L, 43L, 5L, 5L, 5L, 5L, 5L, 
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"14", "15", "16", "17", "17.1", "19", "2", "22", "23", "4", "5", 
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"tbl", "data.frame"))

Answer 1

Try with this. There is some issue in the data type of the count, so transforming to dataframe can alleviate the issue:

#Data
data <- as.data.frame(data)
#Plot
data %>%
  arrange(count,Activity_Name) %>%
  mutate(Activity_Name=as.character(Activity_Name)) %>%
  mutate(Activity_Name=factor(Activity_Name,levels = unique(Activity_Name),
                              ordered = T)) %>%
  ggplot(aes(x = Activity_Name, y = count)) +
  geom_segment(aes(
    x = Activity_Name,
    xend = Activity_Name,
    y = 0,
    yend = count
  ),
  color = "skyblue") +
  geom_point(color = "blue",
             size = 5,
             alpha = 0.6) +
  theme_light() +
  scale_y_log10() +
  coord_flip()

Output (I changed colors for reproducible plot):

Answer 2

This is because your data is grouped, so the fct_reorder in mutate is trying to work within groups instead of the whole data frame. Just add an ungroup and it should be the desired output

Row 2 of the output shows that the data is grouped

data
# # A tibble: 360 x 5
# # Groups:   Activity [18]
#    Day        Hour  Activity Activity_Name count
#    <chr>      <chr> <chr>    <fct>         <int>
#  1 01-01-2021 00:00 1        Sleeping        122
#  2 01-01-2021 01:00 1        Sleeping        122
#  3 01-01-2021 02:00 1        Sleeping        122
#  4 01-01-2021 03:00 1        Sleeping        122
#  5 01-01-2021 04:00 1        Sleeping        122
#  6 01-01-2021 05:00 1        Sleeping        122
#  7 01-01-2021 06:00 1        Sleeping        122
#  8 01-01-2021 07:00 1        Sleeping        122
#  9 01-01-2021 08:00 23       Coding           63
# 10 01-01-2021 09:00 2        Eating           18
# # … with 350 more rows

Adding an ungroup:

data %>%   
  ungroup %>% 
  mutate(Activity_Name = fct_reorder(Activity_Name, count)) %>%
  ggplot(aes(x = Activity_Name, y = count)) +
  geom_segment(aes(
    x = Activity_Name,
    xend = Activity_Name,
    y = 0,
    yend = count
  ),
  color = "skyblue") +
  geom_point(color = "#F2F7F2",
             size = 5,
             alpha = 0.6) +
  theme_light() +
  scale_y_log10() +
  coord_flip()