5-dimensional stacked barplot using ggplot2





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I have the data frame and want to plot multiple dimensions on same axis.



df <- data.frame(Year = sample(2017:2018, 100, replace = T),
Months = sample(month.name, 100, replace = T),
catergory = sample(letters[1:4], 100, replace = T),
count = sample(1:1000, 100, replace = T),
Product = sample(c("Apple", "Orange", "Grapes", "Banana"),
100, replace = T)
)


I want to map year & month to the x-axis, count to the y-axis, and catergory to fill.



I need the output with year-month count but don't know how to represent product. Any best suggestion for the stacked bar plot?










share|improve this question

























  • Please post the code that you've been working on & draw the expected output in Paint/Word/PPT so folks can help

    – Tung
    Nov 23 '18 at 19:02











  • surely will try to plot the expected one @Tung

    – sai saran
    Nov 24 '18 at 4:17











  • Can you elaborate on why you don't want to use the facet_XXX approach?

    – Z.Lin
    Nov 30 '18 at 10:43


















0















I have the data frame and want to plot multiple dimensions on same axis.



df <- data.frame(Year = sample(2017:2018, 100, replace = T),
Months = sample(month.name, 100, replace = T),
catergory = sample(letters[1:4], 100, replace = T),
count = sample(1:1000, 100, replace = T),
Product = sample(c("Apple", "Orange", "Grapes", "Banana"),
100, replace = T)
)


I want to map year & month to the x-axis, count to the y-axis, and catergory to fill.



I need the output with year-month count but don't know how to represent product. Any best suggestion for the stacked bar plot?










share|improve this question

























  • Please post the code that you've been working on & draw the expected output in Paint/Word/PPT so folks can help

    – Tung
    Nov 23 '18 at 19:02











  • surely will try to plot the expected one @Tung

    – sai saran
    Nov 24 '18 at 4:17











  • Can you elaborate on why you don't want to use the facet_XXX approach?

    – Z.Lin
    Nov 30 '18 at 10:43














0












0








0








I have the data frame and want to plot multiple dimensions on same axis.



df <- data.frame(Year = sample(2017:2018, 100, replace = T),
Months = sample(month.name, 100, replace = T),
catergory = sample(letters[1:4], 100, replace = T),
count = sample(1:1000, 100, replace = T),
Product = sample(c("Apple", "Orange", "Grapes", "Banana"),
100, replace = T)
)


I want to map year & month to the x-axis, count to the y-axis, and catergory to fill.



I need the output with year-month count but don't know how to represent product. Any best suggestion for the stacked bar plot?










share|improve this question
















I have the data frame and want to plot multiple dimensions on same axis.



df <- data.frame(Year = sample(2017:2018, 100, replace = T),
Months = sample(month.name, 100, replace = T),
catergory = sample(letters[1:4], 100, replace = T),
count = sample(1:1000, 100, replace = T),
Product = sample(c("Apple", "Orange", "Grapes", "Banana"),
100, replace = T)
)


I want to map year & month to the x-axis, count to the y-axis, and catergory to fill.



I need the output with year-month count but don't know how to represent product. Any best suggestion for the stacked bar plot?







r ggplot2






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share|improve this question













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share|improve this question








edited Jan 9 at 5:37







sai saran

















asked Nov 23 '18 at 8:01









sai saransai saran

366224




366224













  • Please post the code that you've been working on & draw the expected output in Paint/Word/PPT so folks can help

    – Tung
    Nov 23 '18 at 19:02











  • surely will try to plot the expected one @Tung

    – sai saran
    Nov 24 '18 at 4:17











  • Can you elaborate on why you don't want to use the facet_XXX approach?

    – Z.Lin
    Nov 30 '18 at 10:43



















  • Please post the code that you've been working on & draw the expected output in Paint/Word/PPT so folks can help

    – Tung
    Nov 23 '18 at 19:02











  • surely will try to plot the expected one @Tung

    – sai saran
    Nov 24 '18 at 4:17











  • Can you elaborate on why you don't want to use the facet_XXX approach?

    – Z.Lin
    Nov 30 '18 at 10:43

















Please post the code that you've been working on & draw the expected output in Paint/Word/PPT so folks can help

– Tung
Nov 23 '18 at 19:02





Please post the code that you've been working on & draw the expected output in Paint/Word/PPT so folks can help

– Tung
Nov 23 '18 at 19:02













surely will try to plot the expected one @Tung

– sai saran
Nov 24 '18 at 4:17





surely will try to plot the expected one @Tung

– sai saran
Nov 24 '18 at 4:17













Can you elaborate on why you don't want to use the facet_XXX approach?

– Z.Lin
Nov 30 '18 at 10:43





Can you elaborate on why you don't want to use the facet_XXX approach?

– Z.Lin
Nov 30 '18 at 10:43












1 Answer
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0














I was tried without using facet_grid or facet_wrap but getting very difficult or my data is not supporting for that.
So using of facet_wrap i got the solution.



df$Months<-factor(df$Months,levels = month.name) ##Reordering the Months
df$Year<-factor(df$Year) ##changing to factorial

ggplot(df,aes(x=Months,y=count,fill=category))+ geom_bar(stat = "identity",position = "stack")+
facet_grid(Year~Product)+coord_flip()


output






share|improve this answer
























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    1 Answer
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    active

    oldest

    votes








    1 Answer
    1






    active

    oldest

    votes









    active

    oldest

    votes






    active

    oldest

    votes









    0














    I was tried without using facet_grid or facet_wrap but getting very difficult or my data is not supporting for that.
    So using of facet_wrap i got the solution.



    df$Months<-factor(df$Months,levels = month.name) ##Reordering the Months
    df$Year<-factor(df$Year) ##changing to factorial

    ggplot(df,aes(x=Months,y=count,fill=category))+ geom_bar(stat = "identity",position = "stack")+
    facet_grid(Year~Product)+coord_flip()


    output






    share|improve this answer




























      0














      I was tried without using facet_grid or facet_wrap but getting very difficult or my data is not supporting for that.
      So using of facet_wrap i got the solution.



      df$Months<-factor(df$Months,levels = month.name) ##Reordering the Months
      df$Year<-factor(df$Year) ##changing to factorial

      ggplot(df,aes(x=Months,y=count,fill=category))+ geom_bar(stat = "identity",position = "stack")+
      facet_grid(Year~Product)+coord_flip()


      output






      share|improve this answer


























        0












        0








        0







        I was tried without using facet_grid or facet_wrap but getting very difficult or my data is not supporting for that.
        So using of facet_wrap i got the solution.



        df$Months<-factor(df$Months,levels = month.name) ##Reordering the Months
        df$Year<-factor(df$Year) ##changing to factorial

        ggplot(df,aes(x=Months,y=count,fill=category))+ geom_bar(stat = "identity",position = "stack")+
        facet_grid(Year~Product)+coord_flip()


        output






        share|improve this answer













        I was tried without using facet_grid or facet_wrap but getting very difficult or my data is not supporting for that.
        So using of facet_wrap i got the solution.



        df$Months<-factor(df$Months,levels = month.name) ##Reordering the Months
        df$Year<-factor(df$Year) ##changing to factorial

        ggplot(df,aes(x=Months,y=count,fill=category))+ geom_bar(stat = "identity",position = "stack")+
        facet_grid(Year~Product)+coord_flip()


        output







        share|improve this answer












        share|improve this answer



        share|improve this answer










        answered Jan 9 at 5:39









        sai saransai saran

        366224




        366224
































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