To aggregate a csv file having day wise data into month












1














I have a csv file named crime.csv as below:-



OFFENSE_CODE    OFFENSE_TYPE        OFFENSE_DESCRIPTION             DISTRICT    DAY YEAR    MONTH   STREET          NO_OF_CRIME
1106 Confidence Games FRAUD - CREDIT CARD / ATM FRAUD B2 1 2018 2 WASHINGTON ST 1
3201 Property Lost PROPERTY - LOST B2 15 2018 3 ELM HILL AVE 1
1001 Counterfeiting FORGERY / COUNTERFEITING D4 9 2018 1 TREMONT ST 1
2629 Harassment HARASSMENT E5 1 2018 1 CROWN POINT DR 1
1001 Counterfeiting FORGERY / COUNTERFEITING E5 8 2018 4 REDGATE RD 1
1106 Confidence Games FRAUD - CREDIT CARD / ATM FRAUD D4 22 2018 2 BOYLSTON ST 1
2629 Harassment HARASSMENT B2 9 2017 10 AKRON ST 1
1102 Fraud FRAUD - FALSE PRETENSE / SCHEME A7 25 2018 4 LIVERPOOL ST 1
3201 Property Lost PROPERTY - LOST D14 1 2018 1 FIDELIS WAY 1
1106 Confidence Games FRAUD - CREDIT CARD / ATM FRAUD E5 12 2018 4 SPRING ST 1
3201 Property Lost PROPERTY - LOST A1 30 2018 4 NASHUA ST 1


I need to aggregate this data into monthly data based on OFFENCE_CODE. So that NO_OF_CRIMES gets aggregated for that particular month. Any help would be really great.










share|improve this question





























    1














    I have a csv file named crime.csv as below:-



    OFFENSE_CODE    OFFENSE_TYPE        OFFENSE_DESCRIPTION             DISTRICT    DAY YEAR    MONTH   STREET          NO_OF_CRIME
    1106 Confidence Games FRAUD - CREDIT CARD / ATM FRAUD B2 1 2018 2 WASHINGTON ST 1
    3201 Property Lost PROPERTY - LOST B2 15 2018 3 ELM HILL AVE 1
    1001 Counterfeiting FORGERY / COUNTERFEITING D4 9 2018 1 TREMONT ST 1
    2629 Harassment HARASSMENT E5 1 2018 1 CROWN POINT DR 1
    1001 Counterfeiting FORGERY / COUNTERFEITING E5 8 2018 4 REDGATE RD 1
    1106 Confidence Games FRAUD - CREDIT CARD / ATM FRAUD D4 22 2018 2 BOYLSTON ST 1
    2629 Harassment HARASSMENT B2 9 2017 10 AKRON ST 1
    1102 Fraud FRAUD - FALSE PRETENSE / SCHEME A7 25 2018 4 LIVERPOOL ST 1
    3201 Property Lost PROPERTY - LOST D14 1 2018 1 FIDELIS WAY 1
    1106 Confidence Games FRAUD - CREDIT CARD / ATM FRAUD E5 12 2018 4 SPRING ST 1
    3201 Property Lost PROPERTY - LOST A1 30 2018 4 NASHUA ST 1


    I need to aggregate this data into monthly data based on OFFENCE_CODE. So that NO_OF_CRIMES gets aggregated for that particular month. Any help would be really great.










    share|improve this question



























      1












      1








      1







      I have a csv file named crime.csv as below:-



      OFFENSE_CODE    OFFENSE_TYPE        OFFENSE_DESCRIPTION             DISTRICT    DAY YEAR    MONTH   STREET          NO_OF_CRIME
      1106 Confidence Games FRAUD - CREDIT CARD / ATM FRAUD B2 1 2018 2 WASHINGTON ST 1
      3201 Property Lost PROPERTY - LOST B2 15 2018 3 ELM HILL AVE 1
      1001 Counterfeiting FORGERY / COUNTERFEITING D4 9 2018 1 TREMONT ST 1
      2629 Harassment HARASSMENT E5 1 2018 1 CROWN POINT DR 1
      1001 Counterfeiting FORGERY / COUNTERFEITING E5 8 2018 4 REDGATE RD 1
      1106 Confidence Games FRAUD - CREDIT CARD / ATM FRAUD D4 22 2018 2 BOYLSTON ST 1
      2629 Harassment HARASSMENT B2 9 2017 10 AKRON ST 1
      1102 Fraud FRAUD - FALSE PRETENSE / SCHEME A7 25 2018 4 LIVERPOOL ST 1
      3201 Property Lost PROPERTY - LOST D14 1 2018 1 FIDELIS WAY 1
      1106 Confidence Games FRAUD - CREDIT CARD / ATM FRAUD E5 12 2018 4 SPRING ST 1
      3201 Property Lost PROPERTY - LOST A1 30 2018 4 NASHUA ST 1


      I need to aggregate this data into monthly data based on OFFENCE_CODE. So that NO_OF_CRIMES gets aggregated for that particular month. Any help would be really great.










      share|improve this question















      I have a csv file named crime.csv as below:-



      OFFENSE_CODE    OFFENSE_TYPE        OFFENSE_DESCRIPTION             DISTRICT    DAY YEAR    MONTH   STREET          NO_OF_CRIME
      1106 Confidence Games FRAUD - CREDIT CARD / ATM FRAUD B2 1 2018 2 WASHINGTON ST 1
      3201 Property Lost PROPERTY - LOST B2 15 2018 3 ELM HILL AVE 1
      1001 Counterfeiting FORGERY / COUNTERFEITING D4 9 2018 1 TREMONT ST 1
      2629 Harassment HARASSMENT E5 1 2018 1 CROWN POINT DR 1
      1001 Counterfeiting FORGERY / COUNTERFEITING E5 8 2018 4 REDGATE RD 1
      1106 Confidence Games FRAUD - CREDIT CARD / ATM FRAUD D4 22 2018 2 BOYLSTON ST 1
      2629 Harassment HARASSMENT B2 9 2017 10 AKRON ST 1
      1102 Fraud FRAUD - FALSE PRETENSE / SCHEME A7 25 2018 4 LIVERPOOL ST 1
      3201 Property Lost PROPERTY - LOST D14 1 2018 1 FIDELIS WAY 1
      1106 Confidence Games FRAUD - CREDIT CARD / ATM FRAUD E5 12 2018 4 SPRING ST 1
      3201 Property Lost PROPERTY - LOST A1 30 2018 4 NASHUA ST 1


      I need to aggregate this data into monthly data based on OFFENCE_CODE. So that NO_OF_CRIMES gets aggregated for that particular month. Any help would be really great.







      r csv date aggregate






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      edited Nov 12 at 19:04









      12b345b6b78

      767115




      767115










      asked Nov 12 at 18:55









      supriya singh

      234




      234
























          2 Answers
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          0














          Assuming x is the name of the dataframe:



          aggregate(x$NO_OF_CRIME, by = list(x$OFFENCE_CODE, x$MONTH), FUN = sum)





          share|improve this answer





























            0














            We can use tidyverse



            library(tidyverse)
            df1 %>%
            group_by(OFFENCE_CODE, YEAR, MONTH) %>%
            mutate(SUM_NO_OF_CRIME = sum(NO_OF_CRIME))





            share|improve this answer























            • This is giving the sum of all NO_OF_CRIMES. I need my csv file to be aggregated by month and stored in the same table. I need monthwise data as I need to join this table with another table based on month and year.
              – supriya singh
              Nov 12 at 19:20










            • @supriyasingh If you need to create a column, use mutate. updated
              – akrun
              Nov 12 at 19:22











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            2 Answers
            2






            active

            oldest

            votes








            2 Answers
            2






            active

            oldest

            votes









            active

            oldest

            votes






            active

            oldest

            votes









            0














            Assuming x is the name of the dataframe:



            aggregate(x$NO_OF_CRIME, by = list(x$OFFENCE_CODE, x$MONTH), FUN = sum)





            share|improve this answer


























              0














              Assuming x is the name of the dataframe:



              aggregate(x$NO_OF_CRIME, by = list(x$OFFENCE_CODE, x$MONTH), FUN = sum)





              share|improve this answer
























                0












                0








                0






                Assuming x is the name of the dataframe:



                aggregate(x$NO_OF_CRIME, by = list(x$OFFENCE_CODE, x$MONTH), FUN = sum)





                share|improve this answer












                Assuming x is the name of the dataframe:



                aggregate(x$NO_OF_CRIME, by = list(x$OFFENCE_CODE, x$MONTH), FUN = sum)






                share|improve this answer












                share|improve this answer



                share|improve this answer










                answered Nov 12 at 19:01









                12b345b6b78

                767115




                767115

























                    0














                    We can use tidyverse



                    library(tidyverse)
                    df1 %>%
                    group_by(OFFENCE_CODE, YEAR, MONTH) %>%
                    mutate(SUM_NO_OF_CRIME = sum(NO_OF_CRIME))





                    share|improve this answer























                    • This is giving the sum of all NO_OF_CRIMES. I need my csv file to be aggregated by month and stored in the same table. I need monthwise data as I need to join this table with another table based on month and year.
                      – supriya singh
                      Nov 12 at 19:20










                    • @supriyasingh If you need to create a column, use mutate. updated
                      – akrun
                      Nov 12 at 19:22
















                    0














                    We can use tidyverse



                    library(tidyverse)
                    df1 %>%
                    group_by(OFFENCE_CODE, YEAR, MONTH) %>%
                    mutate(SUM_NO_OF_CRIME = sum(NO_OF_CRIME))





                    share|improve this answer























                    • This is giving the sum of all NO_OF_CRIMES. I need my csv file to be aggregated by month and stored in the same table. I need monthwise data as I need to join this table with another table based on month and year.
                      – supriya singh
                      Nov 12 at 19:20










                    • @supriyasingh If you need to create a column, use mutate. updated
                      – akrun
                      Nov 12 at 19:22














                    0












                    0








                    0






                    We can use tidyverse



                    library(tidyverse)
                    df1 %>%
                    group_by(OFFENCE_CODE, YEAR, MONTH) %>%
                    mutate(SUM_NO_OF_CRIME = sum(NO_OF_CRIME))





                    share|improve this answer














                    We can use tidyverse



                    library(tidyverse)
                    df1 %>%
                    group_by(OFFENCE_CODE, YEAR, MONTH) %>%
                    mutate(SUM_NO_OF_CRIME = sum(NO_OF_CRIME))






                    share|improve this answer














                    share|improve this answer



                    share|improve this answer








                    edited Nov 12 at 19:22

























                    answered Nov 12 at 19:04









                    akrun

                    397k13187260




                    397k13187260












                    • This is giving the sum of all NO_OF_CRIMES. I need my csv file to be aggregated by month and stored in the same table. I need monthwise data as I need to join this table with another table based on month and year.
                      – supriya singh
                      Nov 12 at 19:20










                    • @supriyasingh If you need to create a column, use mutate. updated
                      – akrun
                      Nov 12 at 19:22


















                    • This is giving the sum of all NO_OF_CRIMES. I need my csv file to be aggregated by month and stored in the same table. I need monthwise data as I need to join this table with another table based on month and year.
                      – supriya singh
                      Nov 12 at 19:20










                    • @supriyasingh If you need to create a column, use mutate. updated
                      – akrun
                      Nov 12 at 19:22
















                    This is giving the sum of all NO_OF_CRIMES. I need my csv file to be aggregated by month and stored in the same table. I need monthwise data as I need to join this table with another table based on month and year.
                    – supriya singh
                    Nov 12 at 19:20




                    This is giving the sum of all NO_OF_CRIMES. I need my csv file to be aggregated by month and stored in the same table. I need monthwise data as I need to join this table with another table based on month and year.
                    – supriya singh
                    Nov 12 at 19:20












                    @supriyasingh If you need to create a column, use mutate. updated
                    – akrun
                    Nov 12 at 19:22




                    @supriyasingh If you need to create a column, use mutate. updated
                    – akrun
                    Nov 12 at 19:22


















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