Created
December 14, 2012 08:50
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regex example showing one possible way of dealing with "unstructured-like" data within SAS.
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data test; | |
input a $1-200; | |
cards; | |
Organisation trades in a high risk country China, [JURIS: CHN] and is | |
also involed in charity [INDUSTRY: CHARITY]. Customers acquisition | |
date is [ACQUISITION_DATE: 10JUL1999] | |
Customer A is a [JOB: SOLE TRADER] | |
; | |
run; | |
data test1; | |
set test; | |
format testing1-testing10 $100.; | |
drop re start stop position length i; | |
array testing{10} testing1-testing10; | |
re = prxparse('/\[([\w\s:-]+)\]/'); | |
start = 1; | |
stop = length(a); | |
call prxnext(re, start, stop, a, position, length); | |
i = 0; | |
do while (position > 0); | |
i= i+1; | |
testing{i} = substr(a, position+1, length-2); | |
/*shifted by 1 for the first bracket, -1 to undo the shift and -1 to | |
remove last bracket*/ | |
*put found= position= length=; | |
call prxnext(re, start, stop, a, position, length); | |
end; | |
output; | |
run; | |
proc sort data = test1; | |
by a; | |
run; | |
proc transpose data = test1 out = test2; | |
var testing1-testing3; | |
by a; | |
run; | |
data test3; | |
set test2; | |
re = prxparse("/(.*?):(.*)/"); | |
drop re name_re col1; | |
name_re = prxmatch(re,COL1); | |
field_name = prxposn(re,1,COL1); | |
names = strip(prxposn(re,2,COL1)); | |
run; | |
/*re-transpose*/ | |
proc transpose data = test3 out = test4 (drop = _NAME_); | |
by a; | |
id field_name; | |
var names; | |
run; |
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