| Comparing Observations that Have Matching IDNUMs |
COMPARE Procedure
Comparison of WORK.EMP95_BYIDNUM with WORK.EMP96_BYIDNUM
(Method=EXACT)
Data Set Summary
Dataset Created Modified NVar NObs
WORK.EMP95_BYIDNUM 13MAY98:16:03:36 13MAY98:16:03:36 4 10
WORK.EMP96_BYIDNUM 13MAY98:16:03:36 13MAY98:16:03:36 4 12
Variables Summary
Number of Variables in Common: 4.
Number of ID Variables: 1.
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Observation Summary
Observation Base Compare ID
First Obs 1 1 idnum=0987
First Unequal 1 1 idnum=0987
Last Unequal 10 12 idnum=9857
Last Obs 10 12 idnum=9857
Number of Observations in Common: 10.
Number of Observations in WORK.EMP96_BYIDNUM but not in WORK.EMP95_BYIDNUM: 2.
Total Number of Observations Read from WORK.EMP95_BYIDNUM: 10.
Total Number of Observations Read from WORK.EMP96_BYIDNUM: 12.
Number of Observations with Some Compared Variables Unequal: 5.
Number of Observations with All Compared Variables Equal: 5.
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COMPARE Procedure
Comparison of WORK.EMP95_BYIDNUM with WORK.EMP96_BYIDNUM
(Method=EXACT)
Values Comparison Summary
Number of Variables Compared with All Observations Equal: 1.
Number of Variables Compared with Some Observations Unequal: 2.
Total Number of Values which Compare Unequal: 8.
Maximum Difference: 2400.
Variables with Unequal Values
Variable Type Len Ndif MaxDif
address CHAR 42 4
salary NUM 8 4 2400
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Value Comparison Results for Variables
_______________________________________________________
|| Base Value Compare Value
idnum || address address
_____ || ___________________+ ___________________+
||
0987 || 2344 Persimmons Bran 2344 Persimmons Bran
2776 || 12988 Wellington Far 12988 Wellington Far
3888 || 5662 Magnolia Blvd S 5662 Magnolia Blvd S
9857 || 1000 Taft Ave. Morri 100 Taft Ave. Morris
_______________________________________________________
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COMPARE Procedure
Comparison of WORK.EMP95_BYIDNUM with WORK.EMP96_BYIDNUM
(Method=EXACT)
Value Comparison Results for Variables
_______________________________________________________
|| Base Compare
idnum || salary salary Diff. % Diff
_____ || _________ _________ _________ _________
||
0987 || 44010 45110 1100 2.4994
3286 || 87734 89834 2100 2.3936
3888 || 77558 79958 2400 3.0945
9857 || 38756 40456 1700 4.3864
_______________________________________________________
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