I want to know the bar graph code which shows y values relative probability not just count values












1














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:



enter image description here



If I want to have y value relative probability for "each violation type", which code do I need to write?










share|improve this question




















  • 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
















1














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:



enter image description here



If I want to have y value relative probability for "each violation type", which code do I need to write?










share|improve this question




















  • 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














1












1








1







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:



enter image description here



If I want to have y value relative probability for "each violation type", which code do I need to write?










share|improve this question















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:



enter image description here



If I want to have y value relative probability for "each violation type", which code do I need to write?







r ggplot2






share|improve this question















share|improve this question













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edited Nov 23 '18 at 15:25









Mr. T

4,18791535




4,18791535










asked Nov 23 '18 at 15:22









seung

61




61








  • 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














  • 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








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












1 Answer
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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.






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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.






    share|improve this answer


























      0














      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.






      share|improve this answer
























        0












        0








        0






        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.






        share|improve this answer












        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.







        share|improve this answer












        share|improve this answer



        share|improve this answer










        answered Nov 23 '18 at 15:55









        Aaro Viertiö

        1295




        1295






























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