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2010-07-19T14:25:58.640
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2010-07-19T14:25:58.640
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I created a macro that will check for empty character columns and either remove them from the original or create a new data set with the empty columns removed. It takes two optional arguments: The name of the data set (default is the most recently created data set), and a suffix to name the new copy (set suffix to nothing to edit the original). It uses proc freq with the levels option and a custom format to determine the empty character columns. proc sql is then used to create a list of the columns to be removed and store them in a macro variable. Here is the macro: <pre><code>%macro delemptycol(ds=_last_, suffix=_noempty); option nonotes; proc format; value $charmiss ' '= ' ' other='1'; run; %if "&ds"="_last_" %then %let ds=&syslast.; ods select nlevels; ods output nlevels=nlev; proc freq data=&ds.(keep=_character_) levels ; format _character_ $charmiss.; run; ods output close; /* create macro var with list of cols to remove */ %local emptycols; proc sql noprint; select tablevar into: emptycols separated by ' ' from nlev where NNonMissLevels=0; quit; %if &emptycols.= %then %do; %put DELEMPTYCOL: No empty character columns were found in data set &ds.; %end; %else %do; %put DELEMPTYCOL: The following empty character columns were found in data set &ds. : &emptycols.; %put DELEMPTYCOL: Data set &ds.&suffix created with empty columns removed; data &ds.&suffix. ; set &ds(drop=&emptycols); run; %end; options notes; %mend; </code></pre> Examples usage: <pre><code>/* create some fake data: Here char5 will be empty */ data chardata(drop= j randnum); length char1-char5 $8.; array chars(5) char1-char5; do i=1 to 100; call missing(of char:); randnum=floor(10*ranuni(i)); do j=2 to 5; if (j-1)<randnum<=(j+1) then chars(j-1)="FOO"; end; output; end; run; %delemptycol(); /* uses default _last_ for the data and "_noempty" as the suffix */ %delemptycol(ds=chardata, suffix=); /* removes the empty columns from the original */ </code></pre>
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1. POSelect character variables that have all missing values
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