General :: Denormalizing Data For Easy Analysis In Excel

Jun 19, 2013

I have a quality control database that has a QCEntry table that contains information about each sample the QC technician takes from production. This table has a one to many relationship with the TestResults table, where the tests performed on the sample and their results are stored.

QCEntry table is structured like

Code:
EntryID Product Lot Number Day Time
1 AB-500 121323 12/23 5:00

TestResults table is like

Code:
ResultID Entry ID TestName TestResult
1 1 Carbonblack 50
2 1 MFI 10

My question is: Is there a way modify large amounts of data like this using a query or some other method to look like this? Kind of denormalizing the tables?

Code:
Product Lot Number Day Time Carbonblack MFI
AB-500 12323 12/23 5:00 50 10

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I have a larget transaction data set in access with Datetime column/filed.

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Hi,

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I have found 2 possible avenues;

Dcount in a select query:

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w/c 01/04/2014 Not GRANTED: DCount("[Date signed]","[control table]","[Date signed]>=#04/01/2014# And [Date signed] <=#04/06/2014# And [Outcome]='Not Granted' And [Reason not granted]='Assessed'")

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etc...

But I would need to create the multiple queries 52 times each for the different count value per week

My 2nd option

I have looked at crosstab query, but I cant find a way for it to list the specific dates I need it to query e.g from

01/04/2014 - 06/04/2014
07/04/2014 - 13/04/2014
14/04/2014 - 20/04/2014
etc...

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