I want to know the bar graph code which shows y values relative probability not just count values
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}
I typed the code in R:
ggplot(Traffic1,aes(Gender))+
geom_bar(aes(fill=Violation.Type))+
facet_wrap(~Violation.Type)
and I got the bar graph which y axis value is "count" not relative probability:
If I want to have y value relative probability for "each violation type", which code do I need to write?
r ggplot2
edited Nov 23 '18 at 15:25
Mr. T
4,22391636
asked Nov 23 '18 at 15:22
seungseung
61
add a comment |
I typed the code in R:
ggplot(Traffic1,aes(Gender))+
geom_bar(aes(fill=Violation.Type))+
facet_wrap(~Violation.Type)
and I got the bar graph which y axis value is "count" not relative probability:
If I want to have y value relative probability for "each violation type", which code do I need to write?
r ggplot2
edited Nov 23 '18 at 15:25
Mr. T
4,22391636
asked Nov 23 '18 at 15:22
seungseung
61
1
Can you post sample data? Please edit the question with the output ofdput(Traffic1). Or, if it is too big with the output ofdput(head(Traffic1, 20)).
– Rui Barradas
Nov 23 '18 at 15:32
add a comment |
I typed the code in R:
ggplot(Traffic1,aes(Gender))+
geom_bar(aes(fill=Violation.Type))+
facet_wrap(~Violation.Type)
and I got the bar graph which y axis value is "count" not relative probability:
If I want to have y value relative probability for "each violation type", which code do I need to write?
r ggplot2
edited Nov 23 '18 at 15:25
Mr. T
4,22391636
asked Nov 23 '18 at 15:22
seungseung
61
I typed the code in R:
ggplot(Traffic1,aes(Gender))+
geom_bar(aes(fill=Violation.Type))+
facet_wrap(~Violation.Type)
and I got the bar graph which y axis value is "count" not relative probability:
If I want to have y value relative probability for "each violation type", which code do I need to write?
r ggplot2
r ggplot2
edited Nov 23 '18 at 15:25
Mr. T
4,22391636
asked Nov 23 '18 at 15:22
seungseung
61
edited Nov 23 '18 at 15:25
Mr. T
4,22391636
asked Nov 23 '18 at 15:22
seungseung
61
edited Nov 23 '18 at 15:25
Mr. T
4,22391636
edited Nov 23 '18 at 15:25
Mr. T
4,22391636
edited Nov 23 '18 at 15:25
Mr. T
4,22391636
4,22391636
asked Nov 23 '18 at 15:22
seungseung
61
asked Nov 23 '18 at 15:22
seungseung
61
asked Nov 23 '18 at 15:22
seungseung
61
61
1
Can you post sample data? Please edit the question with the output ofdput(Traffic1). Or, if it is too big with the output ofdput(head(Traffic1, 20)).
– Rui Barradas
Nov 23 '18 at 15:32
add a comment |
1
Can you post sample data? Please edit the question with the output ofdput(Traffic1). Or, if it is too big with the output ofdput(head(Traffic1, 20)).
– Rui Barradas
Nov 23 '18 at 15:32
1
1
Can you post sample data? Please edit the question with the output of
dput(Traffic1). Or, if it is too big with the output of dput(head(Traffic1, 20)).– Rui Barradas
Nov 23 '18 at 15:32
Can you post sample data? Please edit the question with the output of
dput(Traffic1). Or, if it is too big with the output of dput(head(Traffic1, 20)).– Rui Barradas
Nov 23 '18 at 15:32
add a comment |
1 Answer
1
active
oldest
votes
You can do this with stat_count. I can't test it without you providing sample data, but this should work with your code:
ggplot(Traffic1,aes(x = Gender)) +
stat_count(mapping = aes(y=..prop.., fill=Violation.Type)) +
facet_wrap(~Violation.Type)
You might need to edit the group argument of stat_count if the values in each facet are not grouped correctly.
answered Nov 23 '18 at 15:55
Aaro ViertiöAaro Viertiö
1295
add a comment |
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1 Answer
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1 Answer
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active
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You can do this with stat_count. I can't test it without you providing sample data, but this should work with your code:
ggplot(Traffic1,aes(x = Gender)) +
stat_count(mapping = aes(y=..prop.., fill=Violation.Type)) +
facet_wrap(~Violation.Type)
You might need to edit the group argument of stat_count if the values in each facet are not grouped correctly.
answered Nov 23 '18 at 15:55
Aaro ViertiöAaro Viertiö
1295
add a comment |
You can do this with stat_count. I can't test it without you providing sample data, but this should work with your code:
ggplot(Traffic1,aes(x = Gender)) +
stat_count(mapping = aes(y=..prop.., fill=Violation.Type)) +
facet_wrap(~Violation.Type)
You might need to edit the group argument of stat_count if the values in each facet are not grouped correctly.
answered Nov 23 '18 at 15:55
Aaro ViertiöAaro Viertiö
1295
add a comment |
You can do this with stat_count. I can't test it without you providing sample data, but this should work with your code:
ggplot(Traffic1,aes(x = Gender)) +
stat_count(mapping = aes(y=..prop.., fill=Violation.Type)) +
facet_wrap(~Violation.Type)
You might need to edit the group argument of stat_count if the values in each facet are not grouped correctly.
answered Nov 23 '18 at 15:55
Aaro ViertiöAaro Viertiö
1295
You can do this with stat_count. I can't test it without you providing sample data, but this should work with your code:
ggplot(Traffic1,aes(x = Gender)) +
stat_count(mapping = aes(y=..prop.., fill=Violation.Type)) +
facet_wrap(~Violation.Type)
You might need to edit the group argument of stat_count if the values in each facet are not grouped correctly.
answered Nov 23 '18 at 15:55
Aaro ViertiöAaro Viertiö
1295
answered Nov 23 '18 at 15:55
Aaro ViertiöAaro Viertiö
1295
answered Nov 23 '18 at 15:55
Aaro ViertiöAaro Viertiö
1295
answered Nov 23 '18 at 15:55
Aaro ViertiöAaro Viertiö
1295
1295
add a comment |
add a comment |
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1
Can you post sample data? Please edit the question with the output of
dput(Traffic1). Or, if it is too big with the output ofdput(head(Traffic1, 20)).– Rui Barradas
Nov 23 '18 at 15:32