Hi All,
I am in situation like, i have to compare a numeric variable from flat file with a numeric variable in SAS Dataset. The trick is, if both the variable is not 100% match, then consider for 1 digit mismatch. For example,
FLAT_FILE_VAR_A
==============
123
456
789
799
SAS_DATASET_VAR_A
==================
123
456
789
111
Expecting Result
=============
123 100%Match
456 100%Match
789 100%Match
799 80%Match <-- this 799 is one digit mismatch with SAS table value "789"
Could you please let me know , how i can achieve this result?? Kindly note for giving example purpose , i gave 3 bytes to variable A. In my file variable A has 9 digit numeric.
Thanks,
Prabakaran
1. Do an exact match first.
2. On those that aren't matched then use compged to see the distance and determine matches.
There's a good post on how to do that here by friedegg if you do some searching for fuzzy match or non-exact matching.
Check complev() function which can calculated a edit distance between two strings.
Here's an approach, but it may consume a lot of memory depending on how low a match rate you are willing to search for.
First, your variables should be character, not numeric.
Second, create a series of formats out of SAS_DATASET_VAR_A:
value $match3_ '123'='100%'
'456'='100%'
'789'='100%'
'111'='100%'
;
value $match2_ '12*'='2 of 3'
'1*3'='2 of 3
'12*'='2 of 3
'*23'='2 of 3
'45*'='2 of 3
'4*6'='2 of 3
'*56'='2 of 3
'78*'='2 of 3
'7*9'='2 of 3
'*89'='2 of 3
'11*'='2 of 3
'1*1'='2 of 3
'*11'='2 of 3
;
While this can be automated using CNTLIN= data sets, you will have to use PROC SORT NODUPKEY before creating the second format because there will be duplicate entries. (123 and 124 will both generate 12*, for example.) Note that the formats get larger, the more wild cards you allow.
Finally, test:
data want;
set have;
if put(ssn, $match3_.)='100%' then do;
match_pattern=ssn;
match_rate='100% ';
output;
delete;
end;
do star_position=1 to 3;
match_pattern=ssn;
substr(match_pattern, star_position, 1) = '*';
if put(match_pattern, $match2_.)='2 of 3' then do;
match_rate='2 of 3';
output;
delete;
end;
end;
This is sample, untested code, but it giives you the idea. I'm pretty sure hash tables instead of formats would work equally well, and might even consolidate everything into one step. There would be one hash table for each level of match (100%, 80%, etc.).
Good luck.
Don't miss out on SAS Innovate - Register now for the FREE Livestream!
Can't make it to Vegas? No problem! Watch our general sessions LIVE or on-demand starting April 17th. Hear from SAS execs, best-selling author Adam Grant, Hot Ones host Sean Evans, top tech journalist Kara Swisher, AI expert Cassie Kozyrkov, and the mind-blowing dance crew iLuminate! Plus, get access to over 20 breakout sessions.
Learn how use the CAT functions in SAS to join values from multiple variables into a single value.
Find more tutorials on the SAS Users YouTube channel.