用SAS進行數(shù)據(jù)分析：報表與圖形輸出過程匯總

如何用SAS進行數(shù)據(jù)分析：下面我們就對報表與圖形輸出過程匯總

*Tabulate過程分類匯總;

proc tabulate data=need;

 class brand;

 var ts9 ts10;

 table brand all,(ts9 ts10)*(n sum mean);

 keylabel n=”用戶數(shù)” sum=”發(fā)送總量” mean=”人均發(fā)送”;

 label brand=”品牌” all=”總計”  ts9=”9月” ts10=”10月”;

run;

*Means過程輸出簡單統(tǒng)計量;

proc means data=need n sum mean maxdec=2;

 var ts9 ts10;

 label ts9=”9月” ts10=”10月”;

run;

*Univariate過程輸出簡單統(tǒng)計量;

proc univariate data=need;

 var ts10;

run;

*Freq過程輸出離散變量分布情況;

proc freq data=need;

 tables brand sex;

run;

proc corr data=need;

 var ts10 ts9 fee10 fee9;

run;

proc gplot data=need;

 symbol i=none v=* color=blue;

 plot ts10*ts9;

quit;

proc gplot data=need;

 symbol i=join v=* color=blue;

 plot ts10*ts9;

quit;

goptions reset=goptions;

proc gchart data=need;

 vbar sex;

quit;

proc gchart data=need;

 vbar3d sex;

quit;

proc gchart data=need;

 hbar sex;

quit;

proc gchart data=need;

 hbar3d sex;

quit;

proc gchart data=need;

 pie sex/type=percent;

run;

proc gchart data=need;

 pie3d sex/type=percent;

run;

proc gchart data=need;

 donut sex/type=percent;

run;

proc gchart data=need;

 star sex/type=percent;

run;

proc gchart data=need;

 block sex/group=brand;

quit;

data test;

  do x=-3 to 3 by 0.1;

    do y=-3 to 3 by 0.1;

     z=x**2+y**2;

     output;

 end;

 end;

run;

proc g3d data=test;

 plot x*y=z;

run;

proc gcontour data=test;

 plot x*y=z;

run;