BookmarkSubscribeRSS Feed
nickb
Calcite | Level 5
I'm working on a report that has copier/printing data and parsing the total pages printed is looking a little tricky. I have used PROC SQL to get the data from data source but now I'm working on a data step to get pages printed.

Most of the values are stored like:14 x Lgl/D and the total printed would be 14.

The other potential combinations: 14 x Lgl/D; 3 x Ltr; 86 x Ltr/D, separated by semi-colons. So for this transaction the total printed pages would 103 (14+3+86).

So I would need a data step that would handle all combinations and sum the total.
8 REPLIES 8
sbb
Lapis Lazuli | Level 10 sbb
Lapis Lazuli | Level 10
You can use a SAS variable in your DATA step along with SCAN to capture each semi-colon delimited, and then use another assignment statement (like more than one for simplicity in coding) to parse each of the sub-records within a "transaction" -- then output one accumulated observation (or otherwise use PROC SUMMARY).

Scott Barry
SBBWorks, Inc.

Suggested Google advanced search argument, this topic / post:

scan function parse delimited records site:sas.com

scan function site:sas.com
Ksharp
Super User
You can use compress() to get these digits.


Ksharp
nickb
Calcite | Level 5
compress out the semi colon?
Peter_C
Rhodochrosite | Level 12
if you use an input statement to read these columns, just add ';' to the delimiters defined on the infile statement. The default delimiter is a blank, so you would be adding the option to the infile statement like
input 'the file you read' dlm=' ;' other options like lrecl=1000 and truncover ;

proc import offers less flexibility (I think)

peterC
nickb
Calcite | Level 5
The data is in a temporary dataset, not a file.
Peter_C
Rhodochrosite | Level 12
Sometimes it is worth loading a string into _INFILE_ just to get the sophisticated parsing available with INPUT
nickb
Calcite | Level 5
I don't see example online on how to do this?

I have try this approach:

data test;
set work.adjunct_copy;
copies=substr(copy_pages,1, index(copy_pages,'x')-1); >>only 1 value is stored in the row
IF findc(Copy_Pages, ';')>1 then;
do while (findc(copy_pages, ';')=0); >>> loop for more than one
copies=substr(copy_pages,1, index(copy_pages,'x')-1);
end;
run;
sbb
Lapis Lazuli | Level 10 sbb
Lapis Lazuli | Level 10
Here is one sample approach using a DO/END to parse through each logical within a physical record:

10 data _null_;
11 infile "c:\temp\parse_data_sas.txt";
12 input ;
13 length tempvar $100;
14 do i=1 to countw(_infile_,';');
15 tempvar = scan(_infile_,i,';');
16 putlog _all_;
17 * add code here to parse each sub-field. ;
18 end;
19 run;

NOTE: The infile "c:\temp\parse_data_sas.txt" is:
Filename=c:\temp\parse_data_sas.txt,
RECFM=V,LRECL=256,File Size (bytes)=43,
Last Modified=09Jun2011:16:35:41,
Create Time=09Jun2011:16:35:41

tempvar=14 x Lgl/D i=1 _ERROR_=0 _INFILE_=14 x Lgl/D; 3 x Ltr; 86 x Ltr/D _N_=1
tempvar=3 x Ltr i=2 _ERROR_=0 _INFILE_=14 x Lgl/D; 3 x Ltr; 86 x Ltr/D _N_=1
tempvar=86 x Ltr/D i=3 _ERROR_=0 _INFILE_=14 x Lgl/D; 3 x Ltr; 86 x Ltr/D _N_=1
tempvar=18 x Lgl/D i=1 _ERROR_=0 _INFILE_=18 x Lgl/D _N_=2
NOTE: 2 records were read from the infile "c:\temp\parse_data_sas.txt".
The minimum record length was 10.
The maximum record length was 31.
NOTE: DATA statement used (Total process time):
real time 0.02 seconds
cpu time 0.01 seconds



Scott Barry
SBBWorks, Inc.

Ready to join fellow brilliant minds for the SAS Hackathon?

Build your skills. Make connections. Enjoy creative freedom. Maybe change the world. Registration is now open through August 30th. Visit the SAS Hackathon homepage.

Register today!
What is Bayesian Analysis?

Learn the difference between classical and Bayesian statistical approaches and see a few PROC examples to perform Bayesian analysis in this video.

Find more tutorials on the SAS Users YouTube channel.

Click image to register for webinarClick image to register for webinar

Classroom Training Available!

Select SAS Training centers are offering in-person courses. View upcoming courses for:

View all other training opportunities.

Discussion stats
  • 8 replies
  • 1463 views
  • 0 likes
  • 4 in conversation