Dear All,
I want to know if its possible to aggregate data in the following way:
I have number of people with saving accounts in each district for year year. I want to aggregate the data as :
branch year_f no_of_person
Bumthang 2003 134
Bumthang 2007 200
BUmthang 2013 280
BUmthang 2017 300
The total number of person should be addition of all people for example if in my raw data set I have from 2000 (12 people) 2001 (10 people) 2002 (10 people) 2003 (10 people) then the final agreggated data should be 42 for 2003 and so on. Year 2003 should have the addition of all people from whichever year that is there for each district.
An example of my data set
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Thank you in advance
I want to know if its possible to aggregate data in the following way:
I have number of people with saving accounts in each district for year year. I want to aggregate the data as :
branch year_f no_of_person
Bumthang 2003 134
Bumthang 2007 200
BUmthang 2013 280
BUmthang 2017 300
The total number of person should be addition of all people for example if in my raw data set I have from 2000 (12 people) 2001 (10 people) 2002 (10 people) 2003 (10 people) then the final agreggated data should be 42 for 2003 and so on. Year 2003 should have the addition of all people from whichever year that is there for each district.
An example of my data set
copy starting from the next line ------- ---------------
Code:
* Example generated by -dataex-. For more info, type help dataex clear input str40 branch float year_f long noofperson "bumthang" 1997 1 "bumthang" 2005 1 "bumthang" 2006 1 "bumthang" 2007 50 "bumthang" 2008 22 "bumthang" 2009 67 "bumthang" 2010 1912 "bumthang" 2011 548 "bumthang" 2012 726 "bumthang" 2013 826 "bumthang" 2014 899 "bumthang" 2015 927 "bumthang" 2016 821 "bumthang" 2017 871 "bumthang" 2018 1008 "bumthang" 2019 814 "bumthang" 2020 893 "bumthang" 2021 767 "bumthang" . 4 "chukha" 1970 1 "chukha" 1973 1 "chukha" 1974 5 "chukha" 1975 3 "chukha" 1976 4 "chukha" 1977 2 "chukha" 1978 1 "chukha" 1979 4 "chukha" 1980 1 "chukha" 1982 1 "chukha" 1983 5 "chukha" 1984 5 "chukha" 1985 11 "chukha" 1986 7 "chukha" 1987 17 "chukha" 1988 33 "chukha" 1989 28 "chukha" 1990 52 "chukha" 1991 22 "chukha" 1992 35 "chukha" 1993 21 "chukha" 1994 28 "chukha" 1995 22 "chukha" 1996 43 "chukha" 1997 77 "chukha" 1998 48 "chukha" 1999 66 "chukha" 2000 96 "chukha" 2001 110 "chukha" 2002 144 "chukha" 2003 169 "chukha" 2004 214 "chukha" 2005 278 "chukha" 2006 323 "chukha" 2007 535 "chukha" 2008 635 "chukha" 2009 1850 "chukha" 2010 4634 "chukha" 2011 2581 "chukha" 2012 3356 "chukha" 2013 3643 "chukha" 2014 3373 "chukha" 2015 3495 "chukha" 2016 2795 "chukha" 2017 2985 "chukha" 2018 3780 "chukha" 2019 4102 "chukha" 2020 3554 "chukha" 2021 2417 "dagana" 2007 17 "dagana" 2008 7 "dagana" 2009 5 "dagana" 2010 919 "dagana" 2011 360 "dagana" 2012 451 "dagana" 2013 595 "dagana" 2014 841 "dagana" 2015 766 "dagana" 2016 1120 "dagana" 2017 926 "dagana" 2018 1196 "dagana" 2019 1017 "dagana" 2020 974 "dagana" 2021 874 "gasa" 2007 43 "gasa" 2008 5 "gasa" 2009 5 "gasa" 2010 7 "gasa" 2011 17 "gasa" 2012 9 "gasa" 2013 270 "gasa" 2014 97 "gasa" 2015 143 "gasa" 2016 148 "gasa" 2017 148 "gasa" 2018 116 "gasa" 2019 153 "gasa" 2020 163 "gasa" 2021 88 "haa" 2007 53 "haa" 2008 14 end
Thank you in advance
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