Thanks all of you!

I learn much more, it is hard to give a good if the raw data give so poor duplicate data

Anyway, group by in very powerful in SQL, if the data is grouped much.

>As John said, you have more of a cross-tab than a fully normalized table. But I understand that that wasn't you point. You can do this with a query if the types of coins is fixed:
>
>SELECT studentid, studname,
>SUM(IIF(coins = '1', qty, 0)) AS 1_Dollar,
>SUM(IIF(coins = '2', qty, 0)) AS 2_Dollar,
>SUM(IIF(coins = '5', qty, 0)) AS 5_Dollar,
>SUM(IIF(coins = '10', qty, 0)) AS 10_Dollar
>FROM badtable
>GROUP BY studentid, studname
>ORDER BY studentid
>
>-Mike
>
>>One friend ask me how to convert the non-normalize dbf to standard!
>>
>>

>>badtable:
>>
>>StudentID    StudName    Coins      Qty
>>-----------------------------------------
>>PJ00001      May         5_Dollar    10
>>PJ00001      May         2_Dollar     4
>>PJ00002      John        10_Dollar    6
>>PJ00002      John        2_Dollar     5
>>PJ00002      John        1_Dollar     3
>>PJ00003      Peter       5_Dollar     7
>>PJ00003      Peter       1_Dollar    15
>>PJ00004      Susan       10_Dollar    2
>>PJ00004      Susan       5_Dollar     1
>>...
>>
>>
>>GoodTable:
>>
>>StudentID    StudName    1_Dollar  2_Dollar  5_Dollar  10_Dollar
>>-----------------------------------------------------------------
>>PJ00001      May            0         4         10         0
>>PJ00002      John           3         5          0         6
>>PJ00003      Peter         15         0          7         0
>>PJ00004      Susan          0         0          1         2
>>........
>>
>>

>>
>>
>>For Report, simply use group can do it, but how to change the table
>>into this structure na!?
>>
>>Thanks!