## Comments

    /* This is a
    multi-line comment */

    * This is a comment too;

## Numbers, dates and times

    42; 4.5; 4.5e-10; -3; -3.5e2; -4.2e-23;
    0afx; 0123x;
    '1jan2013'd; '01jan09'd;
    '9:25't; '9:25:19pm't;
    '01may12:9:30:00'dt; '18jan2003:9:27:05am'dt;
    '2013-05-17T09:15:30–05:00'dt; '2013-05-17T09:15:30–05'dt;
    '2013-07-20T12:00:00+00:00'dt; '2013-07-20T12:00:00Z'dt;

## Strings

    'Single quoted string';
    "Double quoted string";
    'String ''quoted'' string "containing" quote';
    "Double ""quoted"" string 'containing' quote";

## Operators

    A**B;
    'foo'||'bar'!!'baz'¦¦'test';
    A<>B><C;
    A~=B¬=C^=D>=E<=F;
    a*b/c+d-e<f>g&h|i!j¦k;
    ~a;¬b;^c;
    (a eq b) ne (c gt d) lt e ge f le h;
    state in ('NY','NJ','PA');
    not a;

## More examples

    /* Some examples adapted from the documentation
       http://support.sas.com/documentation/cdl/en/basess/64003/PDF/default/basess.pdf */

    data city; * another inline comment;

    	input Year 4. @7 ServicesPolice comma6.
    		@15 ServicesFire comma6. @22 ServicesWater_Sewer comma6.
    		@30 AdminLabor comma6. @39 AdminSupplies comma6.
    		@45 AdminUtilities comma6.;
    	ServicesTotal=ServicesPolice+ServicesFire+ServicesWater_Sewer;
    	AdminTotal=AdminLabor+AdminSupplies+AdminUtilities;
    	Total=ServicesTotal+AdminTotal;

    	Test='A string '' whith a quote';
    	Test2 = "A string "" whith a quote";

    	label   Total='Total Outlays'
    			ServicesTotal='Services: Total'
    			ServicesPolice='Services: Police'
    			ServicesFire='Services: Fire'
    			ServicesWater_Sewer='Services: Water & Sewer'
    			AdminTotal='Administration: Total'
    			AdminLabor='Administration: Labor'
    			AdminSupplies='Administration: Supplies'
    			AdminUtilities='Administration: Utilities';
    	datalines;
    1993 2,819 1,120 422 391 63 98
    1994 2,477 1,160 500 172 47 70
    1995 2,028 1,061 510 269 29 79
    1996 2,754 893 540 227 21 67
    1997 2,195 963 541 214 21 59
    1998 1,877 926 535 198 16 80
    1999 1,727 1,111 535 213 27 70
    2000 1,532 1,220 519 195 11 69
    2001 1,448 1,156 577 225 12 58
    2002 1,500 1,076 606 235 19 62
    2003 1,934 969 646 266 11 63
    2004 2,195 1,002 643 256 24 55
    2005 2,204 964 692 256 28 70
    2006 2,175 1,144 735 241 19 83
    2007 2,556 1,341 813 238 25 97
    2008 2,026 1,380 868 226 24 97
    2009 2,526 1,454 946 317 13 89
    2010 2,027 1,486 1,043 226 . 82
    2011 2,037 1,667 1,152 244 20 88
    2012 2,852 1,834 1,318 270 23 74
    2013 2,787 1,701 1,317 307 26 66
    ;
    proc datasets library=work nolist
    ;
    contents data=city
    ;
    run;

    data city3;
    	set city(firstobs=10 obs=15);
    run;

    data services (keep=ServicesTotal ServicesPolice ServicesFire
    				ServicesWater_Sewer)
    	admin (keep=AdminTotal AdminLabor AdminSupplies
    			AdminUtilities);
    	set city(drop=Total);
    run;
    proc print data=services;
    	title 'City Expenditures: Services';
    run;

    data newlength;
    	set mylib.internationaltours;
    	length Remarks $ 30;
    	if Vendor = 'Hispania' then Remarks = 'Bonus for 10+ people';
    	else if Vendor = 'Mundial' then Remarks = 'Bonus points';
    	else if Vendor = 'Major' then Remarks = 'Discount for 30+ people';
    run;
    proc print data=newlength;
    	var Country Vendor Remarks;
    	title 'Information About Vendors';
    run;

    libname mylib 'permanent-data-library';
    data mylib.departures;
    	input Country $ 1-9 CitiesInTour 11-12 USGate $ 14-26
    	ArrivalDepartureGates $ 28-48;
    	datalines;
    Japan 5 San Francisco Tokyo, Osaka
    Italy 8 New York Rome, Naples
    Australia 12 Honolulu Sydney, Brisbane
    Venezuela 4 Miami Caracas, Maracaibo
    Brazil 4 Rio de Janeiro, Belem
    ;
    proc print data=mylib.departures;
    	title 'Data Set AIR.DEPARTURES';
    run;

    data missingval;
    	length Country $ 10 TourGuide $ 10;
    	input Country TourGuide;
    	* lines is an alias for datalines;
    	lines;
    Japan Yamada
    Italy Militello
    Australia Edney
    Venezuela .
    Brazil Cardoso
    ;

    data inventory_tool;
    	input PartNumber $ Description $ InStock @17
    		ReceivedDate date9. @27 Price;
    	format ReceivedDate date9.;
    	* cards is an alias for datalines;
    	cards;
    K89R seal 34 27jul2010 245.00
    M4J7 sander 98 20jun2011 45.88
    LK43 filter 121 19may2011 10.99
    MN21 brace 43 10aug2012 27.87
    BC85 clamp 80 16aug2012 9.55
    NCF3 valve 198 20mar2012 24.50
    KJ66 cutter 6 18jun2010 19.77
    UYN7 rod 211 09sep2010 11.55
    JD03 switch 383 09jan2013 13.99
    BV1E timer 26 03aug2013 34.50
    ;
    run;