BookmarkSubscribeRSS Feed
☑ This topic is solved. Need further help from the community? Please sign in and ask a new question.
aanan1417
Quartz | Level 8

table 1

policy  start_date  end_date  total_premium

p1        jan-19        jan-20        120

p2        jan-19        oct-19         100

p3        jan-19        may-19        50

 

 

table2

policy   start_date  end_date  premium

p1        jan-19          feb-19       10

p1        feb-19          mar-19      10

p1        mar-19        apr-19        10

p1         apr-19        may-19      10

p1       may-19        jun-19         10

p1        jun-19         jul-19           10

p1        jul-19          aug-19         10

p1       aug-19         sep-19         10

p1       sep-19         oct-19          10

p1        oct-19         nov-19          10

p1        nov-19         dec-19          10

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

1 ACCEPTED SOLUTION

Accepted Solutions
Tom
Super User Tom
Super User

Is this like Jeopardy?  Are we supposed to supply the question that leads to your given answer?

 

Looks like you want to count the number of months and divide the premium by that number.

data have;
  input policy $ (start_date end_date) (:anydtdte.) total_premium ;
  format start_date end_date yymmdd10.;
cards;
p1        jan-19        jan-20        120
p2        jan-19        oct-19         100
p3        jan-19        may-19        50
;

data want;
  set have;
  months=intck('month',start_date,end_date);
  premium=total_premium/months;
  do month=1 to months;
    date=intnx('month',start_date,month-1,'b');
    output;
  end;
  format date yymmdd10.;
run;
                                              total_
Obs    policy    start_date      end_date    premium    months    premium    month          date

  1      p1      2019-01-01    2020-01-01      120        12      10.0000       1     2019-01-01
  2      p1      2019-01-01    2020-01-01      120        12      10.0000       2     2019-02-01
  3      p1      2019-01-01    2020-01-01      120        12      10.0000       3     2019-03-01
  4      p1      2019-01-01    2020-01-01      120        12      10.0000       4     2019-04-01
  5      p1      2019-01-01    2020-01-01      120        12      10.0000       5     2019-05-01
  6      p1      2019-01-01    2020-01-01      120        12      10.0000       6     2019-06-01
  7      p1      2019-01-01    2020-01-01      120        12      10.0000       7     2019-07-01
  8      p1      2019-01-01    2020-01-01      120        12      10.0000       8     2019-08-01
  9      p1      2019-01-01    2020-01-01      120        12      10.0000       9     2019-09-01
 10      p1      2019-01-01    2020-01-01      120        12      10.0000      10     2019-10-01
 11      p1      2019-01-01    2020-01-01      120        12      10.0000      11     2019-11-01
 12      p1      2019-01-01    2020-01-01      120        12      10.0000      12     2019-12-01
 13      p2      2019-01-01    2019-10-01      100         9      11.1111       1     2019-01-01
 14      p2      2019-01-01    2019-10-01      100         9      11.1111       2     2019-02-01
 15      p2      2019-01-01    2019-10-01      100         9      11.1111       3     2019-03-01
 16      p2      2019-01-01    2019-10-01      100         9      11.1111       4     2019-04-01
 17      p2      2019-01-01    2019-10-01      100         9      11.1111       5     2019-05-01
 18      p2      2019-01-01    2019-10-01      100         9      11.1111       6     2019-06-01
 19      p2      2019-01-01    2019-10-01      100         9      11.1111       7     2019-07-01
 20      p2      2019-01-01    2019-10-01      100         9      11.1111       8     2019-08-01
 21      p2      2019-01-01    2019-10-01      100         9      11.1111       9     2019-09-01
 22      p3      2019-01-01    2019-05-01       50         4      12.5000       1     2019-01-01
 23      p3      2019-01-01    2019-05-01       50         4      12.5000       2     2019-02-01
 24      p3      2019-01-01    2019-05-01       50         4      12.5000       3     2019-03-01
 25      p3      2019-01-01    2019-05-01       50         4      12.5000       4     2019-04-01

View solution in original post

2 REPLIES 2
Tom
Super User Tom
Super User

Is this like Jeopardy?  Are we supposed to supply the question that leads to your given answer?

 

Looks like you want to count the number of months and divide the premium by that number.

data have;
  input policy $ (start_date end_date) (:anydtdte.) total_premium ;
  format start_date end_date yymmdd10.;
cards;
p1        jan-19        jan-20        120
p2        jan-19        oct-19         100
p3        jan-19        may-19        50
;

data want;
  set have;
  months=intck('month',start_date,end_date);
  premium=total_premium/months;
  do month=1 to months;
    date=intnx('month',start_date,month-1,'b');
    output;
  end;
  format date yymmdd10.;
run;
                                              total_
Obs    policy    start_date      end_date    premium    months    premium    month          date

  1      p1      2019-01-01    2020-01-01      120        12      10.0000       1     2019-01-01
  2      p1      2019-01-01    2020-01-01      120        12      10.0000       2     2019-02-01
  3      p1      2019-01-01    2020-01-01      120        12      10.0000       3     2019-03-01
  4      p1      2019-01-01    2020-01-01      120        12      10.0000       4     2019-04-01
  5      p1      2019-01-01    2020-01-01      120        12      10.0000       5     2019-05-01
  6      p1      2019-01-01    2020-01-01      120        12      10.0000       6     2019-06-01
  7      p1      2019-01-01    2020-01-01      120        12      10.0000       7     2019-07-01
  8      p1      2019-01-01    2020-01-01      120        12      10.0000       8     2019-08-01
  9      p1      2019-01-01    2020-01-01      120        12      10.0000       9     2019-09-01
 10      p1      2019-01-01    2020-01-01      120        12      10.0000      10     2019-10-01
 11      p1      2019-01-01    2020-01-01      120        12      10.0000      11     2019-11-01
 12      p1      2019-01-01    2020-01-01      120        12      10.0000      12     2019-12-01
 13      p2      2019-01-01    2019-10-01      100         9      11.1111       1     2019-01-01
 14      p2      2019-01-01    2019-10-01      100         9      11.1111       2     2019-02-01
 15      p2      2019-01-01    2019-10-01      100         9      11.1111       3     2019-03-01
 16      p2      2019-01-01    2019-10-01      100         9      11.1111       4     2019-04-01
 17      p2      2019-01-01    2019-10-01      100         9      11.1111       5     2019-05-01
 18      p2      2019-01-01    2019-10-01      100         9      11.1111       6     2019-06-01
 19      p2      2019-01-01    2019-10-01      100         9      11.1111       7     2019-07-01
 20      p2      2019-01-01    2019-10-01      100         9      11.1111       8     2019-08-01
 21      p2      2019-01-01    2019-10-01      100         9      11.1111       9     2019-09-01
 22      p3      2019-01-01    2019-05-01       50         4      12.5000       1     2019-01-01
 23      p3      2019-01-01    2019-05-01       50         4      12.5000       2     2019-02-01
 24      p3      2019-01-01    2019-05-01       50         4      12.5000       3     2019-03-01
 25      p3      2019-01-01    2019-05-01       50         4      12.5000       4     2019-04-01

andreas_lds
Jade | Level 19

Please explain the logic you want applied and post the data in usable form. Is the second table complete? Should the first obs of table be processed, only?

SAS Innovate 2025: Call for Content

Are you ready for the spotlight? We're accepting content ideas for SAS Innovate 2025 to be held May 6-9 in Orlando, FL. The call is open until September 25. Read more here about why you should contribute and what is in it for you!

Submit your idea!

Mastering the WHERE Clause in PROC SQL

SAS' Charu Shankar shares her PROC SQL expertise by showing you how to master the WHERE clause using real winter weather data.

Find more tutorials on the SAS Users YouTube channel.

Discussion stats
  • 2 replies
  • 387 views
  • 1 like
  • 3 in conversation