本篇内容介绍了“proc sql语句在数据清洗中的运用”的有关知识，在实际案例的操作过程中，不少人都会遇到这样的困境，接下来就让小编带领大家学习一下如何处理这些情况吧！希望大家仔细阅读，能够学有所成！

罗庄ssl适用于网站、小程序/APP、API接口等需要进行数据传输应用场景，ssl证书未来市场广阔！成为创新互联公司的ssl证书销售渠道，可以享受市场价格4-6折优惠！如果有意向欢迎电话联系或者加微信：028-86922220（备注：SSL证书合作）期待与您的合作！

libname clean "c:/books/clean";                                           /*定义永久性数据库*/

*新建一个样本数据one;
data one;
   input X Y Z;
datalines;
1 2 3
101 202 303
44 55 66
444 555 666
;
title "Values of X from data set ONE where X is greater than 100";
/*有条件的选择观测值*/

proc sql;
   select X
   from one
   where X gt 100;               
quit;

*Program 8-2;
***检查无效的字符型的数值;
title "Checking for Invalid Character Data";
proc sql;
   select Patno,
          Gender,
          DX,
          AE
   from clean.patients
   where Gender not in ('M','F',' ')           or
         notdigit(trim(DX))and not missing(DX) or
         AE not in ('0','1',' ');
quit;

*检查无效的数值型的数值;
title "Checking for out-of-range numeric values";
proc sql;
   select Patno,
          HR,
          SBP,
          DBP
   from clean.patients
   where HR  not between 40 and 100 and not missing(HR)    or
         SBP not between 80 and 200 and not missing(SBP)   or
         DBP not between 60 and 120 and not missing(DBP);
quit;

*基于标准差利用简单的算法来检查数值;
title "Data values beyond two standard deviations";
proc sql;
   select Patno,
          SBP
   from clean.patients
   having SBP not between mean(SBP) - 2 * std(SBP) and
      mean(SBP) + 2 * std(SBP)                     and
      SBP is not missing;
quit;

*检查缺失值;
options linesize=84;
title "Observations with missing values";
proc sql;
   select *
   from clean.patients
   where Patno   is missing or
         Gender  is missing or
         Visit   is missing or
         HR      is missing or
         SBP     is missing or
         DBP     is missing or
         DX      is missing or
         AE      is missing;
quit;

*检查日期;
title "Dates before June 1, 1998 or after October 15, 1999";
proc sql;
   select Patno,
          Visit
   from clean.patients
   where Visit not between '01jun1998'd and '15oct1999'd and
         Visit is not missing;
quit;

*检查重复值;
title "Duplicate Patient Numbers";
proc sql;
   select Patno,
          Visit
      from clean.patients
      group by Patno
      having count(Patno) gt 1;
quit;

*识别对应多个观察值的变量;
title "Listing of patients who do not have two visits";
proc sql;
   select Patno,
          Visit
      from clean.patients2
      group by Patno
      having count(Patno) ne 2;
quit;

*检查两个文件中对应要求的序列号ID;
data one;
   input Patno X Y;
datalines;
1 69 79
2 56 .
3 66 99
5 98 87
12 13 14
;
data two;
   input Patno Z;
datalines;
1 56
3 67
4 88
5 98
13 99
;

*两个文件都不含的ID;
title "Patient numbers not in both files";
proc sql;
   select One.patno as ID_one,
          Two.patno as ID_two
   from one full join two
   on One.patno eq Two.patno
   where One.patno is missing or Two.patno is missing;
quit;

“proc sql语句在数据清洗中的运用”的内容就介绍到这里了，感谢大家的阅读。如果想了解更多行业相关的知识可以关注创新互联网站，小编将为大家输出更多高质量的实用文章！

网站栏目：procsql语句在数据清洗中的运用
网页地址：http://azwzsj.com/article/ihdssd.html