Hi, I have day-by-day data where some dates are missing. I would like to add missing dates to a new row and assign them a value of 0 in a separate column. There are no duplicates in the data, and they are sorted from oldest to newest. It looks like below:
data have;
input date :yymmdd10. count;
format date yymmddd10.;
datalines;
2022-03-02 20
2022-03-03 24
2022-03-05 23
2022-03-07 15
;
run;
data want;
input date :yymmdd10. count;
format date yymmddd10.;
datalines;
2022-03-02 20
2022-03-03 24
2022-03-04 0
2022-03-05 23
2022-03-06 0
2022-03-07 15
;
run;
Do you know an easy way to quickly complete such a table?
If so then Proc Timeseries is the right tool
data have;
input date :yymmdd10. count;
format date yymmddd10.;
datalines;
2022-03-02 20
2022-03-03 24
2022-03-05 23
2022-03-07 15
;
run;
proc timeseries data = have out = want;
id date interval = day
accumulate = none
setmiss = 0
format = yymmddd10.;
var count;
run;
Result:
date count 2022-03-02 20 2022-03-03 24 2022-03-04 0 2022-03-05 23 2022-03-06 0 2022-03-07 15
Do you have SAS/ETS?
If so then Proc Timeseries is the right tool
data have;
input date :yymmdd10. count;
format date yymmddd10.;
datalines;
2022-03-02 20
2022-03-03 24
2022-03-05 23
2022-03-07 15
;
run;
proc timeseries data = have out = want;
id date interval = day
accumulate = none
setmiss = 0
format = yymmddd10.;
var count;
run;
Result:
date count 2022-03-02 20 2022-03-03 24 2022-03-04 0 2022-03-05 23 2022-03-06 0 2022-03-07 15
Anytime 🙂
data have; input date :yymmdd10. count; format date yymmddd10.; datalines; 2022-03-02 20 2022-03-03 24 2022-03-05 23 2022-03-07 15 ; run; data want; merge have have(keep=date rename=(date=_date) firstobs=2); output; do date=date+1 to coalesce(_date-1,0); count=0;output; end; drop _date; run;
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