Generate daily revenue based on a table










1















I have following table like this.



 Invoice Date Payable Amount 
--------------------------------
14 Sep 2015 114
23 Dec 2015 5153
28 Dec 2015 1145
28 Dec 2015 5500
28 Dec 2015 4500
29 Dec 2015 8359
30 Dec 2015 5954
30 Dec 2015 3017
30 Dec 2015 4660
31 Dec 2015 10500
31 Dec 2015 10500


So I used below code to re-format it,



Below code I converted my text column to date column using strptime.



 data$`Invoice Date` = as.POSIXct(strptime(data$`Invoice Date`,format = "%d %b %Y"))


But I need to aggregate the sum(payable amount) based on date only. i.e I have 3 amount on single date(in this case 28 dec has 3 payable amount) I need to sum all three as one.



So I tried with below code,



data %>% group_by(`Invoice Date`=cut(`Invoice Date`,breaks = "day")) %>%
summarize(`Payable Amount` = sum(`Payable Amount`))


Which is not working, can anyone help.



The output I need is sum(amount) on 1 date only.



Thanks










share|improve this question

















  • 1





    Following works, data %>% group_by(Invoice Date) %>% summarize(Payable Amount = sum(Payable Amount))

    – krishna31
    Nov 14 '18 at 11:10












  • be careful while handling date filelds

    – sai saran
    Nov 14 '18 at 11:11











  • Sure...Thank you

    – krishna31
    Nov 14 '18 at 11:17















1















I have following table like this.



 Invoice Date Payable Amount 
--------------------------------
14 Sep 2015 114
23 Dec 2015 5153
28 Dec 2015 1145
28 Dec 2015 5500
28 Dec 2015 4500
29 Dec 2015 8359
30 Dec 2015 5954
30 Dec 2015 3017
30 Dec 2015 4660
31 Dec 2015 10500
31 Dec 2015 10500


So I used below code to re-format it,



Below code I converted my text column to date column using strptime.



 data$`Invoice Date` = as.POSIXct(strptime(data$`Invoice Date`,format = "%d %b %Y"))


But I need to aggregate the sum(payable amount) based on date only. i.e I have 3 amount on single date(in this case 28 dec has 3 payable amount) I need to sum all three as one.



So I tried with below code,



data %>% group_by(`Invoice Date`=cut(`Invoice Date`,breaks = "day")) %>%
summarize(`Payable Amount` = sum(`Payable Amount`))


Which is not working, can anyone help.



The output I need is sum(amount) on 1 date only.



Thanks










share|improve this question

















  • 1





    Following works, data %>% group_by(Invoice Date) %>% summarize(Payable Amount = sum(Payable Amount))

    – krishna31
    Nov 14 '18 at 11:10












  • be careful while handling date filelds

    – sai saran
    Nov 14 '18 at 11:11











  • Sure...Thank you

    – krishna31
    Nov 14 '18 at 11:17













1












1








1








I have following table like this.



 Invoice Date Payable Amount 
--------------------------------
14 Sep 2015 114
23 Dec 2015 5153
28 Dec 2015 1145
28 Dec 2015 5500
28 Dec 2015 4500
29 Dec 2015 8359
30 Dec 2015 5954
30 Dec 2015 3017
30 Dec 2015 4660
31 Dec 2015 10500
31 Dec 2015 10500


So I used below code to re-format it,



Below code I converted my text column to date column using strptime.



 data$`Invoice Date` = as.POSIXct(strptime(data$`Invoice Date`,format = "%d %b %Y"))


But I need to aggregate the sum(payable amount) based on date only. i.e I have 3 amount on single date(in this case 28 dec has 3 payable amount) I need to sum all three as one.



So I tried with below code,



data %>% group_by(`Invoice Date`=cut(`Invoice Date`,breaks = "day")) %>%
summarize(`Payable Amount` = sum(`Payable Amount`))


Which is not working, can anyone help.



The output I need is sum(amount) on 1 date only.



Thanks










share|improve this question














I have following table like this.



 Invoice Date Payable Amount 
--------------------------------
14 Sep 2015 114
23 Dec 2015 5153
28 Dec 2015 1145
28 Dec 2015 5500
28 Dec 2015 4500
29 Dec 2015 8359
30 Dec 2015 5954
30 Dec 2015 3017
30 Dec 2015 4660
31 Dec 2015 10500
31 Dec 2015 10500


So I used below code to re-format it,



Below code I converted my text column to date column using strptime.



 data$`Invoice Date` = as.POSIXct(strptime(data$`Invoice Date`,format = "%d %b %Y"))


But I need to aggregate the sum(payable amount) based on date only. i.e I have 3 amount on single date(in this case 28 dec has 3 payable amount) I need to sum all three as one.



So I tried with below code,



data %>% group_by(`Invoice Date`=cut(`Invoice Date`,breaks = "day")) %>%
summarize(`Payable Amount` = sum(`Payable Amount`))


Which is not working, can anyone help.



The output I need is sum(amount) on 1 date only.



Thanks







r






share|improve this question













share|improve this question











share|improve this question




share|improve this question










asked Nov 14 '18 at 10:52









krishna31krishna31

568




568







  • 1





    Following works, data %>% group_by(Invoice Date) %>% summarize(Payable Amount = sum(Payable Amount))

    – krishna31
    Nov 14 '18 at 11:10












  • be careful while handling date filelds

    – sai saran
    Nov 14 '18 at 11:11











  • Sure...Thank you

    – krishna31
    Nov 14 '18 at 11:17












  • 1





    Following works, data %>% group_by(Invoice Date) %>% summarize(Payable Amount = sum(Payable Amount))

    – krishna31
    Nov 14 '18 at 11:10












  • be careful while handling date filelds

    – sai saran
    Nov 14 '18 at 11:11











  • Sure...Thank you

    – krishna31
    Nov 14 '18 at 11:17







1




1





Following works, data %>% group_by(Invoice Date) %>% summarize(Payable Amount = sum(Payable Amount))

– krishna31
Nov 14 '18 at 11:10






Following works, data %>% group_by(Invoice Date) %>% summarize(Payable Amount = sum(Payable Amount))

– krishna31
Nov 14 '18 at 11:10














be careful while handling date filelds

– sai saran
Nov 14 '18 at 11:11





be careful while handling date filelds

– sai saran
Nov 14 '18 at 11:11













Sure...Thank you

– krishna31
Nov 14 '18 at 11:17





Sure...Thank you

– krishna31
Nov 14 '18 at 11:17












1 Answer
1






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Following code works,



data %>% group_by(`Invoice Date`) %>%
summarize(`Payable Amount` = sum(`Payable Amount`))





share|improve this answer






















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    1 Answer
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    0














    Following code works,



    data %>% group_by(`Invoice Date`) %>%
    summarize(`Payable Amount` = sum(`Payable Amount`))





    share|improve this answer



























      0














      Following code works,



      data %>% group_by(`Invoice Date`) %>%
      summarize(`Payable Amount` = sum(`Payable Amount`))





      share|improve this answer

























        0












        0








        0







        Following code works,



        data %>% group_by(`Invoice Date`) %>%
        summarize(`Payable Amount` = sum(`Payable Amount`))





        share|improve this answer













        Following code works,



        data %>% group_by(`Invoice Date`) %>%
        summarize(`Payable Amount` = sum(`Payable Amount`))






        share|improve this answer












        share|improve this answer



        share|improve this answer










        answered Nov 14 '18 at 11:11









        krishna31krishna31

        568




        568





























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