如何在 SAS webout 文件中打印分组数据

How to print groupped data in SAS webout file

我创建了一个数据集如下

Custom_Data_Set
Branch | Code | Region | Col_1 | Col_2 | Fee_1 | Fee_2 | Total
 1st      01     East     val     val     150     250     400
 1st      01     East     val     val     100     120     220
 1st      01     East     val     val     130     120     250
 2nd      02     West     val     val     200     250     450
 2nd      02     West     val     val     300     400     700

不,我想将这些数据打印到我的网络文件中,如

Branch: 1st  Code: 01  Region: East
  Col_1 | Col_2 | Fee_1 | Fee_2 | Total
   val     val    150     250     400
   val     val    100     120     220
   val     val    130     120     250

   Total          380     490     870
Branch: 2nd  Code: 02  Region: West
  Col_1 | Col_2 | Fee_1 | Fee_2 | Total
   val     val    200     250     450
   val     val    300     400     700

   Total          500     650    1150

 GrandTotal       880     1140   2020

我可以使用

进行简单打印
data _null_;
put '<html><body><table>';
run;

data _null_;
 put numberOfObservations=;
 set work.Custom_Data_Set nobs=numberOfObservations;
 file _webout; 
 put '<tr>
         <td>'; put Branch ; put'</td>
         <td>'; put Code ; put'</td>
         <td>'; put Col_1 ; put'</td>
         <td>'; put Col_2 ; put'</td>
         <td>'; put Fee_1 ; put'</td>
         <td>'; put Fee_2 ; put'</td>
         <td>'; put Total; put'</td>
         </tr>';
run;

data _null_;
put '<tr>
         <td>Total</td>
         <td></td>
         <td></td>
         <td></td>
         <td>'; put &Fee_1_total ; put'</td>
         <td>'; put &Fee_2_total ; put'</td>
         <td>'; put &_total; put'</td>
         </tr>
    </table></body></html>';
run;

但是我在用总计和总计分组并只放置一个分支条目时遇到问题,对整个组的区域进行编码。

我们可以使用分支和代码进行分组。

PS:Fee_1_total、Fee_2_total 和 _total 是宏变量,我通过 proc sql 获取到语句并将它们分配为 sum(relevent_column).

引用宏解析。

put "&Fee_1_total";

put 语句需要变量或带引号的字符串。您发布的代码导致 DATA Step put 语句上下文中已解析的宏变量成为数字。

PROC REPORT 也可以产生相同的输出:

data have;
input 
Branch : . Code : Region : . Col_1 : . Col_2 : . Fee_1 Fee_2 Total;
datalines;
 1st      01     East     val     val     150     250     400
 1st      01     East     val     val     100     120     220
 1st      01     East     val     val     130     120     250
 2nd      02     West     val     val     200     250     450
 2nd      02     West     val     val     300     400     700
run;

options nocenter;

title;
proc report data = have;
  by branch code region;
  column col_1 col_2 fee_1 fee_2 total;
  rbreak after / summarize;
run;

* same with variation in titling;
title "#byvar1: #byval1 #byvar2: #byval2 #byvar3: #byval3";
options nobyline;
proc report data = have;
  by branch code region;
  column col_1 col_2 fee_1 fee_2 total;
  rbreak after / summarize;
  format code z2.;
run;

options byline;

您可以在一个数据步骤中完成所有操作。不需要宏变量或 PROC SQL 摘要代码。只需确保数据按分组变量排序即可。

您可以使用 DOW 循环为每个 BY 组迭代一次数据步骤。在 set 语句中使用 _N_=1 和由 end= 选项创建的变量来知道何时写入开始和结束。使用 first.branch 知道何时写入块 header 行。您可以自己将总和累加到新的数据集变量中,并在 by group 中的最后一行之后输出总行。

data _null_;
  file _webout ;
  if _n_=1 then do;
    putlog nobs= comma20. ;
    put
  '<html><body><table>'
    ;
  end;
  do until (last.region) ;
    set have nobs=nobs end=eof;
    by branch code region ;
    if first.region then put
  '<tr><th colspan="5">' Branch= code= region= '</th></tr>'
 /'<tr><th>Col_1</th><th>Col_2</th><th>Fee_1</th><th>Fee_2</th><th>Total</th></tr>'
    ;
    put
  '<tr><td>' col_1 '</td>'
      '<td>' col_2 '</td>'
      '<td>' fee_1 '</td>'
      '<td>' fee_2 '</td>'
      '<td>' total '</td></tr>'
    ;
    sum_1 = sum(sum_1,fee_1);
    sum_2 = sum(sum_2,fee_2);
    sum_t = sum(sum_t,total);
  end;
  put
  '<tr><td colspan="2">Total</td>'
      '<td>' sum_1 '</td>'
      '<td>' sum_2 '</td>'
      '<td>' sum_t '</td></tr>'
   ;
   grand_1+sum_1;
   grand_2+sum_2;
   grand_total+sum_t;
   if eof then put
  '<tr><td colspan="2">GrandTotal</td>'
      '<td>' grand_1 '</td>'
      '<td>' grand_2 '</td>'
      '<td>' grand_total '</td></tr>'
/ '</table></body></html>'
   ;
run;

我将您发布的数据复制到数据步骤中以创建用于编程的内容。 我将 COL_1 和 COL_2 的值更改为不同的值。

结果 table 在 IE 中打开时看起来像这样。