//
//Count command
//This command outputs list of count for every category of variables. 
//
//Quation
//If variable type is number, this value is categoraize automaticaly.

//Syntax no option
count [variables];  


//Syntax used option
count [variables]/
[options]
;

//Options
[variable]:code              //if variable type is numeric code,you have to appoint as code.
[variable]:continuous        //if numeric type, you don't need to define explicitly.
[variable]:moji              //if character type, you don't need to define explicitly.
[variable]:zero              //if you appoint zero,number of zero value can be counted.
[variable]:format=[filename] //if you use format file,list items is categorized by format.


//Example 1
//read bank employment data in USA
get bankR.csv@;

//number of count for job-kind and minority 
count minority jobcat/
jobcat:code
minority:code
;





//
//You can use format in count list by appointing format file.
//

//jobcat format
hand *id idnm/
1  1:stuff
2  2:trainning
3  3:gardman
4  4:specialist
5  5:director
6  6:MBA
7  7:engineer
;
put jobcat_;

//minority format
hand *id idnm/
0  0:white
1  1:colored
;
put minority_;

get bankR.csv@;

//Exsample 2 in format version
count minority jobcat/
jocat:format=jobcat_
minority:format=minority_
;




//Read output of count command.
get freq@ana;

//Plot bar graph by jobcat and minority.
//This show of counts by each jobcat with minority or not.
plot bar COUNT by jobcat;


Comparing stuff with specialist composition rate is quite different depending not minority or minority.