John McKown wrote:

>I have a program, on Linux, which takes this and produces lines like:
>LPAR LIH1 was capped starting at Mon 2014-06-16 21:52:41 until Mon 2014-06-16 
>21:55:31 for a duration of 00.02.50

>I can the process this information in another program which puts the fields: 
>LPAR (LIH1 above), the started date & time (2014-06-15 21:52:41 & 2014-06-16 
>21:55:31) into a relational table. From this I can generate another table 
>which has a row for each minute within the interval. 

>Hopefully you get the idea. And see at least one problem. There are 1400 
>minutes in a single day. Way too many to plot even a single day. So I though, 
>why not summarize, perhaps on an hourly basis. Where each "point" in the plot 
>is the sum of the number of minutes in which the LPAR was capped. 

Rather, do your program 24 times instead of 1440 times. Combine the 60 minutes 
into one number and pass that to your graphing program.  You can use different 
symbols for low capping (<15 minutes) or medium capping or high capping for 
example.

Also consider using a CSV file and you can then import it in your spreadsheet. 
After each import the graphs will updated automatically.

Alternatively: 

What you can do is, import your raw data (1440 rows) from CSV or text file, 
then select for each columns the 60 minutes for an interval, say B1-60. place 
the sum formula in D1. Then the sum of B61-B120 is in D2, etc. 

Now prepare the graph using D1-D24 as an axis.

If you do it right, you should just re-import (refresh) from the CSV and the 
graph will be redone with summing all and everything properly.

> I would plot a "bar" whose thickness is relative to the number.

Try height instead of width, then your graphs will stay more or less 
consistent. (ratio of graphs fields against labels and axis headers)

>First, does the above information sound useful to others? 

Indeed. Managers are more tolerant to graphs. :-) It is us lowly guys/gals who 
had to create them

Groete / Greetings
Elardus Engelbrecht

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