How to transpose rows into multiple columns using pivot table

I have 1 row containing 12 columns with value "JAN", "FEB", "MAR", "J-1","F-1","M-1","J-2","F-2","M-2","J-3","F-3","M-3"
I want to display as
JAN J-1 F-1 M-1
FEB J-2 F-2 M-2
MAR J-3 F-3 M-3
How do I achieve the above?

Today you have only 3 months JAN, FEB, MAR. Is it always the same number of columns. What if there are more months added to this row?
Is your data really coming from relational source or some sort of text file?
There is a better way to do this in narrative view using HTML if your requirement is just to show them in multiple rows and do some calculations.
Go to Narrative View;
In prefix, use <html> <table>
In 'Narrative' text box add something like this
<tr> <td> @1 </td> <td> @4 </td> <td> @7 </td> </tr>
<tr> <td> @2 </td> <td> @5 </td> <td> @8 </td> </tr>
<tr> <td> @3 </td> <td> @6 </td> <td> @9 </td> </tr>
In Suffix, use </table> </html>
You can also add simple calculations like sum etc at the very bottom of these rows as grand totals.
kris

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    C1
    C2
    C3
    C4
    C5
    C6
    C7
    C8
    C9
    C10
    1
    1
    2
    3
    4
    5
    6
    7
    8
    9
    10
    1
    11
    12
    13
    14
    15
    16
    17
    18
    19
    20
    1
    21
    22
    23
    24
    25
    26
    27
    28
    29
    30
    1
    31
    32
    33
    34
    35
    36
    37
    38
    39
    40
    1
    41
    42
    43
    44
    45
    46
    47
    48
    49
    50
    1
    51
    52
    53
    54
    55
    56
    57
    58
    59
    60
    1
    61
    62
    63
    64
    65
    66
    67
    68
    69
    70
    1
    71
    72
    73
    74
    75
    76
    77
    78
    79
    80
    1
    81
    82
    83
    84
    85
    86
    87
    88
    89
    90
    1
    91
    92
    93
    94
    95
    96
    97
    98
    99
    100
    2
    1
    2
    3
    4
    5
    6
    7
    8
    9
    10
    2
    11
    12
    13
    14
    15
    16
    17
    18
    19
    20
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    R1_C1
    R1_C2
    R1_C3
    R1_C4
    R1_C5
    R1_C6
    R1_C7
    R1_C8
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    R2_C1
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    R2_C4
    R2_C5
    R2_C6
    R2_C7
    R2_C8
    R2_C9
    R2_C10
    R3_C1
    R3_C2
    R3_C3
    R3_C4
    R3_C5
    R3_C6
    R3_C7
    R3_C8
    R3_C9
    R3_C10
    R4_C1
    R4_C2
    R4_C3
    R4_C4
    R4_C5
    R4_C6
    R4_C7
    R4_C8
    R4_C9
    R4_C10
    R5_C1
    R5_C2
    R5_C3
    R5_C4
    R5_C5
    R5_C6
    R5_C7
    R5_C8
    R5_C9
    R5_C10
    R6_C1
    R6_C2
    R6_C3
    R6_C4
    R6_C5
    R6_C6
    R6_C7
    R6_C8
    R6_C9
    R6_C10
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    R7_C3
    R7_C4
    R7_C5
    R7_C6
    R7_C7
    R7_C8
    R7_C9
    R7_C10
    R8_C1
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    R8_C4
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    R8_C6
    R8_C7
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  • One Row into multiple Column

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    ID_1    ID_2   ID_3  ID_4
    100     200    300   400
    1000    1200   1300  1400
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    V

    One more method:
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  • Need to update multiple columns using another table

    I have 2 tables. and i need to update rows of 1 table using another table
    Table1
    Serial_no.     payment_date     Payment_amt
    101     22/11/2010     150
    101     18/03/2011      355
    102     15/04/2011      488
    103     20/05/2011      178
    102     14/06/2011      269
    101     28/06/2011      505
    Table2
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    102     648
    103     475
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    set (Last_paymt_dt,Last_paymt_amt) = (select max(payment_date, payment_amt) from table1
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    SQL> select * from table1
      2  /
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           101 22/11/2010         150
           101 18/03/2011         355
           102 15/04/2011         488
           103 20/05/2011         178
           102 14/06/2011         269
           101 28/06/2011         505
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      2  /
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           101        255
           102        648
           103        475
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      2     set  (last_paymt_dt,last_paymt_amt) = (
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      7                                           )
      8  /
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           101        255 28/06/2011            505
           102        648 14/06/2011            269
           103        475 20/05/2011            178
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  • How to insert signals into multiple columns in db, dbtoolset

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    As I have often pointed out, the easiest solution to this situation is to dump the Database Connectivity Toolkit. Check out this thread and follow the references in it. If the DCT weren't in the way what you are wanting to do would be very easy.
    Mike...
    Certified Professional Instructor
    Certified LabVIEW Architect
    LabVIEW Champion
    "... after all, He's not a tame lion..."
    Be thinking ahead and mark your dance card for NI Week 2015 now: TS 6139 - Object Oriented First Steps

  • How can split data into multiple sheets using an excel template

    Hi all,
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    Thanks in advance
    Alex

    You can find working solution here http://xlspe.com

  • Converting a single row into multiple columns

    Hi All,
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    Subbu S

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      7  select 3, 5 from dual union all
      8  select 2, 6 from dual
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    22  /
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    |1                             1
    |1|2                           1     2
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    |1|2|6                         1     2     6
    |1|3                           1     3
    |1|3|5                         1     3     5
    6 rijen zijn geselecteerd.Regards,
    Rob.

  • Split single column into multiple column using sql /plsql

    create table test (name varchar2(255);
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    insert into test values('WINSTON WHITE CLASSIC 13    18/70 60 240.66');
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    DH  RED 20                            12/10            10              2
    PM  STUD 20                           15/10            20              29.55
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    Edited by: A on Apr 21, 2012 11:33 PM
    Edited by: A on Apr 21, 2012 11:34 PM
    Edited by: A on Apr 21, 2012 11:34 PM

    h4. # Database should be 10g. If version is below 10g query need to be modified as per string format.
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           REGEXP_SUBSTR(second_part,'[^[:space:]]+[[:space:]]',1,2) amount,
           REGEXP_SUBSTR(second_part,'[^[:space:]]+$',1) total
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       FROM test )
    {code}                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                               

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