topic Proc sql: sum if not exists? in SAS Procedures

Proc sql: sum if not exists?

problems99 — Tue, 27 Oct 2015 10:14:18 GMT

Hello,

Here is a simplified example of what I trie to do :

data a;
input date sales;
datalines;
4 4000
;

data b;
input date value_purchased_items;
datalines;
1 100
2 200
3 300
;

proc sql;
create table summary as
select a.date, sum(b.value_purchased_items,0), a.sales
from  a a, b b
where a.date=b.date;

I have no row with this request but I would like to have a row with "4 0 4000". How to deal with this? I tried coalesce by the same way and it did not work too.

Thanks

Re: Proc sql: sum if not exists?

kannand — Tue, 27 Oct 2015 10:10:04 GMT

Hello, not sure what you are trying to accomplish here. You are getting no rows because of the criteria you have specified in the where clause. There is no date common between the two tables.

Besides, you mentioned that you like to see 3 0 4000. you need to explain based on what criteria you expect this to be on your output so I understand.

Re: Proc sql: sum if not exists?

RW9 — Tue, 27 Oct 2015 10:14:31 GMT

Yes, provide and example of what you want out, and why.

Re: Proc sql: sum if not exists?

problems99 — Tue, 27 Oct 2015 10:16:59 GMT

Sorry I did a mistake. I wanted to say "4 0 4000"

a.date is my reference date. Let us consider that there is always only one row into a.

Re: Proc sql: sum if not exists?

kannand — Tue, 27 Oct 2015 10:22:55 GMT

Try "A LEFT JOIN B"

Re: Proc sql: sum if not exists?

kannand — Tue, 27 Oct 2015 10:30:51 GMT

Hope this helps:

data a;
input date sales;
datalines;
4 4000
;

data b;
input date value_purchased_items;
datalines;
1 100
2 200
3 300
;

proc sql;
select a.date, sum(b.value_purchased_items,0) as sum_value_purchased_items, a.sales
from  a left join b on
a.date=b.date;
quit;

Re: Proc sql: sum if not exists?

problems99 — Tue, 27 Oct 2015 10:34:46 GMT

Left join, I forgot this basic trick T_T

Thanks everyone for your help and your quickness!

Re: Proc sql: sum if not exists?

RichardDeVen — Tue, 27 Oct 2015 17:52:44 GMT

A full join may be what you need. I would also anticipate the need to rollup by date both sales and purchases prior to joining.

data a;
input date sales;
datalines;
4 4000
5 8000
5 2000
;
data b;
input date value_purchased_items;
datalines;
1 100
2 200
3 300
3 600
5 125
5 250
5 500
5 1000
5 5000
;
proc sql;
create table summary as
select
coalesce(a.date,b.date) as date
, b.value_total
, b.value_line_count
, a.sales_total
, a.sales_line_count
from 
(select date, sum(b.value_purchased_items) as value_total, count(b.value_purchased_items) as value_line_count 
from b group by date) b
full join
(select date, sum(a.sales) as sales_total, count(a.sales) as sales_line_count
from a group by date) a
on
a.date = b.date
;