SAS进阶《深入分析SAS》之数据汇总和展现

1. 通过Print过程制作报表

proc print <data=数据集>;

run;

选项：

obs=修改观测序号列标签

noobs不显示观测序列号

id语句在输出中取代观测序列

var选择输出的变量

where语句选择输出的观测

总结如下：

    proc print data=数据集<选项>;

        id 变量1<变量2...>;

        var 变量1<变量2...>;

        where 表达式;

        sum 变量1 <变量2...>;

        where 表达式;

        sum 变量1<变量2...>;

        sumby 变量1<变量2...>;

    run;

2. tabulate

proc tabulate data=Saslib.Sales2;

    title1 'Sales in North America';

    title2 'TOtal Transactions';

/*

*class为分类变量

*/

    class Emp_ID Dept;

    var Sales;

    table Dept*Emp_ID,Sales;

run;

3. 通过GPLOT过程制作图行

分组变量

    axis1 order=(18900 to 18960 by 5);

    axis2 order=(9000 to 20000 by 1000);

        minor=(color=blue height=0.25 number=1);

    symbol value=# cv=red

            interpol=join ci=blue;

    proc gplot data = Saslib.Sales;

        title f = 'Albany Amt' c = blue h = 3 u = 2 'Yearly Amount in North America';

        footnote j = r 'Optimization Solution Co.Ltd';

        plot Sales*Date=Emp_ID/haxis=axis1 vaxis=axis2;

    run;

    quit;

    goptions reset=all;

4. 增强型HTLM输出

    proc sort data=sashelp.prdsale out=work.prdsale;

        by country;

    run;

    ods html path="C:\Users\LEI\Desktop\data"

             body='prdsalebody.html'

             frame='prdsaleframe.html'

             contents='prdsalecontents.html';

    proc tabulate data=work.prdsale;

        class region division prodtype;

        var actual;keyword all sum;

        keylabel all='Total';

        table (region all)*(division all),

              (prodtype all)*(actual*f=dollar10.) / misstext=[label='Missing']

              box=[label='Region by Division and Type'];

    run;

    ods select ExtremeObs Quantiles Moments;

    proc univariate data=work.prdsale;

        by Country;

        var actual;

    run;

    ods html close;

总结：SAS对数据的汇总和表现两种方式：一种是列表，一种是图行。通过print和tabulate过程制作各种报表和汇总报表；GPLOT过程和GCHART过制作散点图、连线图、气泡图、柱状图等多种图行；ODS输出传送系统，包括如何选择或挑剔输出对象，创建多种格式的输出文件。