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I have a field nwEVENTDTE, which is formatted as mm/dd/yyyy. I have another field called [Net Sold Qty]
What I want to do is to create a table that shows the field nwEVENTDTE less certain time intervals and the [Net Sold Qty] at those times.
So, for example
nwEVENTDTE-7 (or 14,21,28,etc for week intervals) and the [Net Sold Qty] at that time. Ideally, I want a chart that displays the following as an output.
Time Frame Net Sold Qty
1 Week ##,###
2 Weeks ##,###
3 Weeks ##,###
4 Weeks ##,###
6 Weeks ##,###
8 Weeks ##,###
10 Weeks ##,###
12 Weeks ##,###
Any suggestions on how to structure this would be appreciated.
Create a new field in the script which calculates the Time Fram field.... Not sure how the raw data looks to give a better solution
How would I structure the script?
try the attachment
I think this would structure what I would want to do. How would I tie this into my current data to link to the field of nwEVENTDTE?
My date field is your nwEVENTDTE; the format is different but it sholudn't be a problem (Get the Dates Right)
My val field is your [Net Sold Qty]
I think you don't need the C table in my script; C table is for my test data
Also replace 4 with the number of week you want
C:
load
date(makedate(2016) + rowno() -1) as date,
floor(rand()*100) as val
AutoGenerate 730;
FOR i=1 to 4
😧
LOAD
'week-$(i)' as period,
today(1) - iterno() as date
AutoGenerate 1
While IterNo() <= ($(i)*7)
;
NEXT
When I replace 'date' with my field 'nwEVENTDTE', they link, however I may have explained my question incorrectly.
When I choose an nwEVENTDTE from a drop-down list, I want the table to react to be 1, 2, 3, 4 weeks etc. from that nwEVENTDTE. So for example, if I choose an nwEVENTDTE of 12/12/2016, I want the table to display the [Net Sold QTY] when the time period = nwEVENTDTE less 1 week, 2 weeks, 3 weeks, etc.
nwEVENTDTE 1 Week 2 Weeks 3 Weeks 4 Weeks
12/12/2016 12,122 12,022 11,111 10,111
This might be a good candidate for The As-Of Table, but it might be helpful to look at few rows of the raw data or make a qvw sample to understand your data and provide a solution which works for you.
Event Date Time nwEVENTDTE Net Sold Qty
Oct 13, 2016 10/13/2016 2
Dec. 12, 2016 12/12/2016 4
Feb. 16, 2017 2/16/2017 1
What would be the ouput from this?