Numeric and Non Numeric Data

Hi,
I have to check the data in Varchar2 field idtr and if it is numeric some actions are to be done on the data and if it is numeric some other different action is to be done.
So I used some logic for finding whether the data is numeric or non numeric which I got it from the net.
Now my problem is all decimal numbers are to be treated as numeric but this logic is treating decimals as non numeric and I am not able to proceed further.
Can some one help me out in this issue.
Below is the Logic and actions I am doing
select      pol_id,lpad(substr(trunc(to_number(idtr),0),1,10),10,0),idtr
from           pl_insrd
where      length(idtr) - length(translate(idtr,chr(1)||translate(idtr,CHR(1)||'1234567890',CHR(1) ),CHR(1) ) ) = 0
and           length(idtr) > 9
UNION
select      pol_id,lpad(trunc(idtr,0),10,0),idtr
from           pl_insrd
where      length(idtr) - length(translate(idtr,chr(1)||translate(idtr,CHR(1)||'1234567890',CHR(1) ),CHR(1) ) ) = 0
and           length(idtr) < 10
UNION
select      pol_id,substr(idtr,1,10),idtr
from           pl_insrd
where      length(idtr) - Length(TRANSLATE(idtr,CHR(1)||TRANSLATE(idtr,CHR(1)||'1234567890', CHR(1) ), CHR(1) ) ) > 0
and           length(idtr) > 9
UNION
select      pol_id,lpad(idtr,10,0),idtr
from      pl_insrd
where      length(idtr) - Length(TRANSLATE(idtr,CHR(1)||TRANSLATE(idtr,CHR(1)||'1234567890', CHR(1) ), CHR(1) ) ) > 0
and           length(idtr) < 10

<quote>One I provided was I found at asktom.oracle.com</quote>
So? ... If you'd provided a link then one could see the entire context for that particular snippet of code and decide if it is indeed appropriate. As shown by Angus it is not always appropriate ... add to that, NULL is not a number as that function reports.
<quote>It's using replace and transalate functions which are less expensive then To_Number function.</quote>
Proof?
<quote>I agree with you [John], that's the best function you can use to validate data for numeric.<quote>
I don't agree to_number() is [always] the best way ... the easiest way? ... maybe.
My personal view is that there is no universal way to determine if a string, in all circumstances, can be translated into a number. One has to have knowledge of the source data domain ... only you know if, in your particular circumstance, '1e4' is or is not a NUMBER represented as a string.
flip@FLOP> select to_number('1e3') from dual;
TO_NUMBER('1E3')
1000

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      2    from
      3    (
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      6    from emp
      7    group by  deptno , to_number(to_char(hiredate,'mm'))  ,
      8                to_number(to_char(hiredate , 'rrrr'))
      9    )
    10    model
    11    partition by(deptno)
    12    dimension by (month , year)
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    14    (
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            30          5       1981          1
            30         12       1981          1
            30          2       1981          2
            30          9       1981          2
            30          1       1990
            20          4       1987          1
            20          5       1987          1
            20          4       1981          1
            20         12       1981          1
            20         12       1980          1
            20          1       1990
            10          6       1981          1
            10         11       1981          1
            10          1       1982          1
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    Simon

    Connected to Oracle Database 10g Express Edition Release 10.2.0.1.0
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      2    FROM (SELECT e.department_id
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      4                ,to_number(to_char(e.hire_date, 'rrrr')) YEAR
      5                ,COUNT(e.first_name) count_
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               20          2       1996          1
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    SQL> SELECT department_id, MONTH, YEAR, count_
      2    FROM (SELECT e.department_id
      3                ,to_number(to_char(e.hire_date, 'mm')) MONTH
      4                ,to_number(to_char(e.hire_date, 'rrrr')) YEAR
      5                ,COUNT(e.first_name) count_
      6            FROM employees e
      7            WHERE e.department_id = 20
      8           GROUP BY e.department_id
      9                   ,to_number(to_char(e.hire_date, 'mm'))
    10                   ,to_number(to_char(e.hire_date, 'rrrr')))
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    12  PARTITION BY(department_id)
    13  dimension BY(MONTH, YEAR)
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               20          2       1996          1
               20          1       1990          2
    SQL> ---
    SQL> SELECT department_id, MONTH, YEAR, count_
      2    FROM (SELECT e.department_id
      3                ,to_number(to_char(e.hire_date, 'mm')) MONTH
      4                ,to_number(to_char(e.hire_date, 'rrrr')) YEAR
      5                ,COUNT(e.first_name) count_
      6            FROM employees e
      7           GROUP BY e.department_id
      8                   ,to_number(to_char(e.hire_date, 'mm'))
      9                   ,to_number(to_char(e.hire_date, 'rrrr')))
    10  model ignore nav
    11  PARTITION BY(department_id)
    12  dimension BY(MONTH, YEAR)
    13  measures(count_)(
    14    count_ [1, 1990] = count_ [2, 1996] + count_ [8, 1997]
    15  );
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              100          8       1994          2
               30         12       1997          1
              100          3       1998          1
               30          7       1997          1
                           5       1999          1
               30         12       1994          1
               30         11       1998          1
               30          5       1995          1
              100          9       1997          2
              100         12       1999          1
               30          8       1999          1
                           1       1990          0
               30          1       1990          0
              100          1       1990          0
               90          9       1989          1
               20          8       1997          1
               70          6       1994          1
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