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How can I take this data
13/08/2012 | 14.15 |
16/08/2012 | 8.18 |
17/08/2012 | 12.22 |
John Doe | 34.55 |
14/08/2012 | 8.47 |
15/08/2012 | 4.58 |
16/08/2012 | 9.39 |
17/08/2012 | 12.04 |
18/08/2012 | 10.19 |
19/08/2012 | 0.01 |
AN Other | 45.48 |
15/08/2012 | 5.3 |
15/08/2012 | 9.16 |
16/08/2012 | 10.08 |
17/08/2012 | 11.15 |
18/08/2012 | 12.15 |
19/08/2012 | |
Mr X | 48.24 |
and make it load like this?:
John Doe | 13/08/2012 | 14.15 |
John Doe | 16/08/2012 | 8.18 |
John Doe | 17/08/2012 | 12.22 |
AN Other | 14/08/2012 | 8.47 |
AN Other | 15/08/2012 | 4.58 |
AN Other | 16/08/2012 | 9.39 |
AN Other | 17/08/2012 | 12.04 |
AN Other | 18/08/2012 | 10.19 |
AN Other | 19/08/2012 | 0.01 |
Mr X | 15/08/2012 | 5.3 |
Mr X | 15/08/2012 | 9.16 |
Mr X | 16/08/2012 | 10.08 |
Mr X | 17/08/2012 | 11.15 |
Mr X | 18/08/2012 | 12.15 |
Mr X | 19/08/2012 |
Mazacini, What is the association between John Doe, AN Other and Mr. X with the Date column?
Hi Manoj
In the first table, the first 3 entries are values (hh:mm) per day for John Doe,which are then totalled against his name in Line 4.
Lines 5 to 10 are the entries for An Other, which are then totalled on Line 11.
The table is an extract from a much larger table, where a full years data might appear for each name.
I hope I have explaned it properly.
Joe