How to plot 24 hour on x-axis, separated by Month
Question
I have a set of data that looks like this:
str(presence$Time)
Factor w/ 413 levels "00:00:00","00:10:00",..: 273 50 259 259 260 122 243 244 244 249 ...
this is an example from my data set
presence<-
Month Date Year Time Number
42 November 2 2019 16:54:00 1
102 November 5 2019 03:57:00 1
116 November 5 2019 16:31:00 1
117 November 5 2019 16:31:00 2
118 November 5 2019 16:32:00 1
134 November 6 2019 07:20:00 2
144 November 6 2019 16:12:00 1
169 November 7 2019 16:13:00 1
170 November 7 2019 16:13:00 1
171 November 7 2019 16:18:00 1
172 November 7 2019 16:21:00 3
173 November 7 2019 16:37:00 1
181 November 7 2019 23:19:00 4
189 November 8 2019 06:14:00 2
191 November 8 2019 07:27:00 2
201 November 8 2019 16:30:00 1
204 November 8 2019 18:55:00 1
206 November 8 2019 19:37:00 1
218 November 9 2019 06:17:00 1
235 November 9 2019 22:10:00 4
245 November 10 2019 07:07:00 2
255 November 10 2019 16:13:00 2
256 November 10 2019 16:18:00 2
257 November 10 2019 16:29:00 1
258 November 10 2019 16:29:00 3
264 November 10 2019 21:35:00 4
667 November 27 2019 15:43:00 1
668 November 27 2019 15:54:00 1
693 November 28 2019 15:38:00 2
694 November 28 2019 15:45:00 6
695 November 28 2019 15:51:00 1
696 November 28 2019 15:52:00 3
697 November 28 2019 15:54:00 1
698 November 28 2019 15:57:00 2
701 November 28 2019 17:50:00 2
714 November 29 2019 05:06:00 2
718 November 29 2019 08:07:00 3
726 November 29 2019 15:58:00 1
727 November 29 2019 15:59:00 1
752 November 30 2019 15:34:00 1
753 November 30 2019 15:42:00 4
754 November 30 2019 15:45:00 4
779 December 1 2019 15:43:00 1
781 December 1 2019 16:17:00 1
783 December 1 2019 17:11:00 2
798 December 2 2019 07:56:00 1
800 December 2 2019 08:10:00 3
801 December 2 2019 08:12:00 1
809 December 2 2019 15:38:00 1
810 December 2 2019 15:43:00 3
827 December 3 2019 07:57:00 2
839 December 3 2019 18:37:00 2
861 December 4 2019 15:28:00 1
862 December 4 2019 15:31:00. 1
863 December 4 2019 15:32:00 1
864 December 4 2019 15:37:00 2
865 December 4 2019 15:39:00 2
866 December 4 2019 15:43:00 3
867 December 4 2019 15:47:00 2
868 December 4 2019 15:53:00 1
870 December 4 2019 16:06:00 1
871 December 4 2019 16:09:00 1
872 December 4 2019 16:15:00 2
873 December 4 2019 16:55:00 4
875 December 4 2019 17:47:00 2
880 December 4 2019 21:17:00 1
882 December 4 2019 22:33:00 1
891 December 5 2019 06:57:00 1
893 December 5 2019 07:06:00 1
905 December 5 2019 18:52:00 1
910 December 5 2019 22:38:00 1
928 December 6 2019 15:32:00 1
929 December 6 2019 15:38:00 1
930 December 6 2019 15:44:00 2
931 December 6 2019 15:48:00 1
932 December 6 2019 15:52:00 1
933 December 6 2019 15:53:00 1
935 December 6 2019 16:06:00 4
936 December 6 2019 16:08:00 1
937 December 6 2019 16:10:00 1
938 December 6 2019 16:12:00 1
939 December 6 2019 16:13:00 1
940 December 6 2019 16:17:00 1
941 December 6 2019 16:38:00 1
944 December 6 2019 18:21:00 2
945 December 6 2019 18:23:00 1
947 December 6 2019 19:32:00 1
952 December 6 2019 23:18:00 2
961 December 7 2019 07:39:00 1
987 December 8 2019 08:10:00 2
What i'm trying to do is show the number on the y-axis and then the time (24 hours) on the x-axis.
I looked around and found a type of code that I thought i could manipulate to use. The code is as follows:
ggplot(presence, aes(x=Time, y=Number, colour=Month)) +
geom_path() +
geom_point() +
scale_x_datetime(breaks=date_breaks("5 hour")) +
facet_grid(Month ~.) +
theme(legend.position="none")
However i then got an error that said
Error: Invalid input: time_trans works with objects of class POSIXct only
I then went on to investigate what this "posixct" meant and it said you have to change it into that when working with time and date data. So thats what i did, and went back to include that function in my code. However, that function changed my time series data to have todays date "26th July 2020" on it.
I am working with 5 different months here "Nov, Dec, Jan, Feb, March" so I just simply want 24 hours on the x-axis and not the date.
My attempt using the above code gave me this graph:
as you can see, on the axis it is plotting todays date. I am really confused on what I am doing wrong as I thought i followed the right steps based off of example codes of similar questions I found online.
I dont need the date at all really apart from the names of those 5 months set out in different boxes like the graph i produced. I just need to see how many times something was present during the different 24 hour time periods.
1 answers
solution1
0 2020-07-26 17:12:05
If I understand correctly, you want to aggregate by month and hours?
Eg, the count of observations per hour:
library(tidyverse)
library(lubridate)
presence %>%
mutate(hours = hour( hms(Time))) %>%
count(Year, Month, hours) %>%
ggplot(aes(x=hours, y=n, colour = Month)) +
geom_line() +
geom_point() +
scale_x_continuous(breaks = seq(0, 24, 2))+
facet_grid(~ Month)
data
presence<- read.table(text = "Month Date Year Time Number
42 November 2 2019 16:54:00 1
102 November 5 2019 03:57:00 1
116 November 5 2019 16:31:00 1
117 November 5 2019 16:31:00 2
118 November 5 2019 16:32:00 1
134 November 6 2019 07:20:00 2
144 November 6 2019 16:12:00 1
169 November 7 2019 16:13:00 1
170 November 7 2019 16:13:00 1
171 November 7 2019 16:18:00 1
172 November 7 2019 16:21:00 3
173 November 7 2019 16:37:00 1
181 November 7 2019 23:19:00 4
189 November 8 2019 06:14:00 2
191 November 8 2019 07:27:00 2
201 November 8 2019 16:30:00 1
204 November 8 2019 18:55:00 1
206 November 8 2019 19:37:00 1
218 November 9 2019 06:17:00 1
235 November 9 2019 22:10:00 4
245 November 10 2019 07:07:00 2
255 November 10 2019 16:13:00 2
256 November 10 2019 16:18:00 2
257 November 10 2019 16:29:00 1
258 November 10 2019 16:29:00 3
264 November 10 2019 21:35:00 4
667 November 27 2019 15:43:00 1
668 November 27 2019 15:54:00 1
693 November 28 2019 15:38:00 2
694 November 28 2019 15:45:00 6
695 November 28 2019 15:51:00 1
696 November 28 2019 15:52:00 3
697 November 28 2019 15:54:00 1
698 November 28 2019 15:57:00 2
701 November 28 2019 17:50:00 2
714 November 29 2019 05:06:00 2
718 November 29 2019 08:07:00 3
726 November 29 2019 15:58:00 1
727 November 29 2019 15:59:00 1
752 November 30 2019 15:34:00 1
753 November 30 2019 15:42:00 4
754 November 30 2019 15:45:00 4
779 December 1 2019 15:43:00 1
781 December 1 2019 16:17:00 1
783 December 1 2019 17:11:00 2
798 December 2 2019 07:56:00 1
800 December 2 2019 08:10:00 3
801 December 2 2019 08:12:00 1
809 December 2 2019 15:38:00 1
810 December 2 2019 15:43:00 3
827 December 3 2019 07:57:00 2
839 December 3 2019 18:37:00 2
861 December 4 2019 15:28:00 1
862 December 4 2019 15:31:00. 1
863 December 4 2019 15:32:00 1
864 December 4 2019 15:37:00 2
865 December 4 2019 15:39:00 2
866 December 4 2019 15:43:00 3
867 December 4 2019 15:47:00 2
868 December 4 2019 15:53:00 1
870 December 4 2019 16:06:00 1
871 December 4 2019 16:09:00 1
872 December 4 2019 16:15:00 2
873 December 4 2019 16:55:00 4
875 December 4 2019 17:47:00 2
880 December 4 2019 21:17:00 1
882 December 4 2019 22:33:00 1
891 December 5 2019 06:57:00 1
893 December 5 2019 07:06:00 1
905 December 5 2019 18:52:00 1
910 December 5 2019 22:38:00 1
928 December 6 2019 15:32:00 1
929 December 6 2019 15:38:00 1
930 December 6 2019 15:44:00 2
931 December 6 2019 15:48:00 1
932 December 6 2019 15:52:00 1
933 December 6 2019 15:53:00 1
935 December 6 2019 16:06:00 4
936 December 6 2019 16:08:00 1
937 December 6 2019 16:10:00 1
938 December 6 2019 16:12:00 1
939 December 6 2019 16:13:00 1
940 December 6 2019 16:17:00 1
941 December 6 2019 16:38:00 1
944 December 6 2019 18:21:00 2
945 December 6 2019 18:23:00 1
947 December 6 2019 19:32:00 1
952 December 6 2019 23:18:00 2
961 December 7 2019 07:39:00 1
987 December 8 2019 08:10:00 2")
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