Do not input private or sensitive data. View Qlik Privacy & Cookie Policy.
Skip to main content

Announcements
Qlik Open Lakehouse is Now Generally Available! Discover the key highlights and partner resources here.
cancel
Showing results for 
Search instead for 
Did you mean: 
bdunphy
Contributor III
Contributor III

Report Summary Query

Hi,
I have a table with  the following output
Customer   Name
Product CodeItem nameActualForecastVariance%
CUST A1Product 102492490%
CUST A2Product 221412051%
CUST A3Product 33783901297%
CUST A4Product 4316202-114157%
CUST A5Product 5112115397%
CUST A6Product 6841153173%
CUST A7Product 74248687%
CUST A8Product 88237-45220%
CUST A9Product 91261603479%
CUST A10Product 104825921119%
CUST A11Product 111,064830-234128%
CUST A12Product 127674-2102%
CUST A13Product 139292031%
CUST A14Product 14013130%
CUST A15Product 157,3001,762-5,538414%
CUST ATotal9,6584,325-5,333223%
What I would like to  do is summarise this output as below:
15  Products:
Bucket | No of  Products | % of Products
+/- 10% | 3 |  20%
+/- 20% | 2 |  13%
+/- 30% | 3 |  20%
>30% |7 |  47%
NOTE: +/- 10% means the  forecast was between 90 and 110 % of the Actual, +/- 20% means between 80-89 and  111-120 etc.
This will allow  management to see how many products are close enough to forecast (within 30%)
so in the example  above 8 products are within 30% out of the 15 or 53% of  products
I have been trying  various combinations of aggr and count (and class) but cant get it to  work
The calculation for  the % figure is
sum
({$<Year={$(=max(Year)) },[Forecast  Available]={'Yes'}>}Sales.Unit2*[Packs per  Case])
/
sum({$<Year={$(=max(Year)) },[Forecast  Available]={'Yes'}>}Forecast_Packs)
Thanks
Brian
1 Reply
bdunphy
Contributor III
Contributor III
Author

3 columns missing at end of spreadsheet during post. see below:

ForecastVariance%
2492490%
412051%
3901297%
202-114157%
115397%
1153173%
48687%
37-45220%
1603479%
25921119%
830-234128%
74-2102%
292031%
13130%
1,762-5,538414%
4,325-5,333223%