The LITI rule for Text Analytics that you didn’t know you needed…until now!
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Recently in the SAS Community Library: Customer complaint call transcripts can end up being quite verbose. SAS' @PeterChristie reveals how to distill relevant info using SAS Text Analytics.
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Hi, here is a random dataset I created data testdata;
length banana 8 fruit 8;
do year = 2014 to 2023;
date = input(cats(put(year, 4.), '1231'), yymmdd8.);
do i = 1 to 25;
customer = cats('Customer', (year - 2014) * 25 + i);
banana = round(ranuni(0) * 100, 0.01);
fruit = ceil(ranuni(0) * 2) - 1;
output;
if i <= 10 then do;
customer = cats('Customer', (year - 2014) * 25 + i);
banana = round(ranuni(0) * 100, 0.01);
fruit = ceil(ranuni(0) * 2) - 1;
output;
end;
end;
end;
format date yymmddn8.;
drop i year;
run; But how can I add a column (or a row) that confirms that all the columns are like numeric or char.. For example the column 'fruit' there 1=yes, 0=no, but lets say that there is a bug in the inserting and someone had write "yes" as a string/char, then I want a column/row that says: "not correct" if there is a string there, or "correct" if there is only 1 and 0. And I want to do it for every column in my dataset. Recall that this above is just my fiction data, my data have other columns, so I think I prefer to insert the columns manually and not just like for every coloumn-counting-loop thing 🙂 beacuse the colomns differ for each model. Thanks,
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Tid: 09:00-11:00
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