Amount in different colomns based on week...

Requirement is
On the selection screen user enters a date..i have to display the amounts corresponding to last 4 weeks in 4 different colomns based on the date entered..Can any one suggest me how to acheive this.
Regards
Ansari

Logic would be as below :
Define things appropriately
Data : zweek(6) type c.
IF i_step = 2.
READ TABLE i_t_var_range
                       WITH KEY vnam = 'zdate' INTO ls_var.
*****Use function module DATE_GET_WEEK******** just pass *****ls_var to the same.Get the week value to ZWEEK
        l_s_range-low = zweek.
        l_s_range-sign = 'I'.
        l_s_range-opt  = 'EQ'.
        APPEND l_s_range TO e_t_range.
      ENDIF.

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    ilm-251 21-11-2012 20:47:00
    ilm-251 21-11-2012 20:48:00
    ilm-251 21-11-2012 20:49:00
    ilm-251 21-11-2012 20:50:00
    HOST_NAME TO_CHAR(SYSTEMDATE,
    ilm-251 21-11-2012 20:51:00
    ilm-251 21-11-2012 20:52:00
    ilm-251 21-11-2012 20:53:00
    ilm-251 21-11-2012 20:54:00
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    ilm-425 21-11-2012 20:07:00
    ilm-425 21-11-2012 20:08:00
    ilm-425 21-11-2012 20:09:00
    ilm-425 21-11-2012 20:10:00
    ilm-425 21-11-2012 20:11:00
    ilm-425 21-11-2012 20:12:00
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    ilm-425 21-11-2012 20:14:00
    ilm-425 21-11-2012 20:15:00
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    ilm-425 21-11-2012 20:22:00
    ilm-425 21-11-2012 20:23:00
    HOST_NAME TO_CHAR(SYSTEMDATE,
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    ilm-425 21-11-2012 20:25:00
    ilm-425 21-11-2012 20:26:00
    ilm-425 21-11-2012 20:27:00
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    ilm-425 21-11-2012 20:37:00
    ilm-425 21-11-2012 20:38:00
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    ilm-425 21-11-2012 20:43:00
    ilm-425 21-11-2012 20:44:00
    ilm-425 21-11-2012 20:45:00
    HOST_NAME TO_CHAR(SYSTEMDATE,
    ilm-425 21-11-2012 20:46:00
    ilm-425 21-11-2012 20:47:00
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    ilm-425 21-11-2012 20:49:00
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    ilm-425 21-11-2012 20:51:00
    ilm-425 21-11-2012 20:52:00
    ilm-425 21-11-2012 20:53:00
    ilm-425 21-11-2012 20:54:00
    ilm-425 21-11-2012 20:55:00
    ilm-425 21-11-2012 20:56:00
    HOST_NAME TO_CHAR(SYSTEMDATE,
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    ilm-495 21-11-2012 20:23:00
    ilm-495 21-11-2012 20:24:00
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    ilm-495 21-11-2012 20:25:00
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