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Article #130

making check catagory accumulations

#130
From: Dm Forsyth
Date: Fri, 28 Aug 1992 15:53
33 lines
2194 bytes
Can anyone help me with a solution to this?  :
   I want to accumulate expense values by catagory.
I have a program with 4 columns for expense entries (literally checkbook
amounts).  Left of each column is a narrow column for a 1 or 0 as to
whether the amount has yet been reconciled (check back from bank).
I want to add additional columns (1 associated with each column of values)
in which to enter the expense catagory (probably numbers between 1 and 15).
The reason for so many columns is so 1 month's activity can be viewed on
one screen (though it does increase my work by 4X).

How can I get a columns values accumulated according to the value of another
column?  I thought of 2 schemes, but there should be a better way.
1)  created a separate @dsum( , , ) statement for EACH catagory value.  This
method also requires me to have a separate CRITERION TABLE for each @dsum.
If I do a database extract, I have that same exact problem.

2) create a separate @dsum( , , )-'previous cell'  and this keeps me from having
to have SEPARATE CRITERION TABLES (I can get by with one long one for each
value column).  But it still seems like a kludge.

What am I missing here, since this seems like an obvious thing to have been
done many times.

ps.  the 0's or 1's in front of the checks not returned are for a /database
extract procedure for accumulating and summing the outstanding values.  Works
nicely.
ppss and bye the way, this is in QUATTRO, but it's exactly like 123.

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Dale M. Forsyth |  Assoc. Prof. | Purdue University Animal Sciences
qqc@mace.cc.purdue.edu | phone 49-44841 | campus address 2-111 Lilly
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From: qqc@mace.cc.purdue.edu (Dm Forsyth)
Newsgroups: comp.apps.spreadsheets
Subject: making check catagory accumulations
Keywords: catagories quattro
Message-ID: <BtpAt7.F83@mentor.cc.purdue.edu>
Date: 28 Aug 92 15:53:30 GMT
Sender: news@mentor.cc.purdue.edu (USENET News)
Organization: Purdue University
Lines: 33