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Have a data table that contains the following information. This table
will eventually contain thousands of records, so I've just included a sample below. ID Title Type Value Elapsed PR583089 PL10 - rec6 Goods £2,640.00 5d0h1m PR583090 PL151 req1 Goods £3,900.00 0d0h7m PR583090 PL151 req1 Goods £3,900.00 0d0h7m PR583090 PL151 req1 Goods £3,900.00 0d0h7m PR583091 PL151 req2 Service £3,900.00 3d0h3m PR583091 PL151 req2 Service £3,900.00 3d0h3m TABLE 1: Type SLA Goods 3d Service 5d I need to be able to analyse how many 'unique' IDs have an elapsed time of greater than the entries within Table 1. In the example extract above PR583090 appears 3 times and PR583091 2 times so these only need to be counted twice. So in total there would be 3 entries. The table for the above would then show: Goods Services In SLA 1 1 Out SLA 1 1 goods entry in SLA (PR583090), 1 goods out of SLA (PR583089) and one service entry in SLA (PR583091). Is this possible @ all? Thanks in advance as always and Happy New Year. Cheers, Al. |
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