topic Re: Nested Aggr - Set Analysis in QlikView

Nested Aggr - Set Analysis

phoenix — Wed, 25 Nov 2020 16:16:04 GMT

I need to get the top 10 highest Due % products (only products with balance >$25M) in the portfolio for a specific month.

I am able to get to the top 10 highest Due % products (for all products) using

=if(aggr(rank(sum({<Date={20181231}>}Due)/sum({<Date={20181231}>}UNPD_PRIN_BAL_AMT)),Product)<=10,Product)

but cannot figure out how to do the aggr(rank()) on the subset of products with balance >$25M for that specific month

Products with Balance > 25M
=if(aggr(sum({<Date={20181231}>}Balance),Product)>25000000,Product)	Due%	Balance
A	1.08%	$1,307,394,657.97
B	1.21%	$744,059,134.25
C	0.77%	$357,608,576.29
D	0.64%	$254,258,526.58
E	0.72%	$225,546,921.52
F	0.70%	$214,473,494.20
G	1.25%	$208,853,674.18
H	0.73%	$140,247,509.05
I	0.90%	$136,058,009.82
J	0.96%	$104,991,278.33
K	0.59%	$99,152,698.37
L	1.95%	$93,547,731.32
M	0.60%	$63,879,678.08
N	2.05%	$49,213,667.16
O	0.54%	$48,322,095.78
P	1.46%	$40,884,035.28
Q	0.83%	$39,308,599.38
R	1.03%	$38,115,956.84
S	0.49%	$34,866,485.54
T	0.63%	$33,443,292.79
U	0.32%	$26,726,725.36

Top 10 due % Products(Balance > 25M)
?????	Due%	Balance
N	2.05%	$49,213,667.16
L	1.95%	$93,547,731.32
P	1.46%	$40,884,035.28
G	1.25%	$208,853,674.18
B	1.21%	$744,059,134.25
A	1.08%	$1,307,394,657.97
R	1.03%	$38,115,956.84
J	0.96%	$104,991,278.33
I	0.90%	$136,058,009.82
Q	0.83%	$39,308,599.38

Re: Nested Aggr - Set Analysis

bgerchikov — Mon, 07 Jan 2019 23:08:15 GMT

Try this one for dimension:

=if(aggr(sum({<Date={20181231}>}Balance),Product)>25000000 And aggr(rank(TOTAL sum({<Date={20181231}>}Due)/sum({<Date={20181231}>}UNPD_PRIN_BAL_AMT)),Product)<= 10,Product)

Good Luck!

Re: Nested Aggr - Set Analysis

phoenix — Mon, 07 Jan 2019 23:30:47 GMT

tried this but it is doing aggr(rank(TOTAL sum({<Date={20181231}>}Due)/sum({<Date={20181231}>}UNPD_PRIN_BAL_AMT)),Product)<= 10 and then filtering Products for >$25M. i want it to filter the products with $25M first and then do the Due % rank

Re: Nested Aggr - Set Analysis

bgerchikov — Tue, 08 Jan 2019 00:00:54 GMT

I see.

Here is another option that works for me:

=if(aggr(rank(TOTAL sum({<Date={20181231},Product={"=sum({<Date={20181231}>}Balance)>25000000"}>}Due)/sum({<Date={20181231},Product={"=sum({<Date={20181231}>}Balance)>25000000"}>}UNPD_PRIN_BAL_AMT)),Product)<= 10,Product)

Re: Nested Aggr - Set Analysis

phoenix — Tue, 08 Jan 2019 02:47:29 GMT

I thought it is working but I am getting different results between

=if(aggr(rank(sum({<Date={20181231},Product={"=sum({<Date={20181231}>}Balance)>1000000"}>}Due)/sum({<Date={20181231},Product={"=sum({<Date={20181231}>}Balance)>1000000"}>}Balance)),Product)<= 25,Product)

and

=if(aggr( sum( {< Date={20181231},Product={"=sum({<Date={20181231}>}Balance)>1000000"} >} Due ) /sum( {< Date={20181231},Product={"=sum({<Date={20181231}>}Balance)>1000000"} >} Balance ) ,Product )>aggr( sum(total {< Date={20181231} >} Due ) /sum(total {< Date={20181231} >} Balance ) ,Product ) ,Product )

highlighted in BOLD are additional results I am getting from 2nd set analysis which i dont see in the first one

if(aggr(rank(sum({<Date={20181231},Product={"=sum({<Date={20181231}>}Balance)>1000000"}>}Due)/sum({<Date={20181231},Product={"=sum({<Date={20181231}>}Balance)>1000000"}>}Balance)),Product)<= 25,Product)	Due %	Balance	if(aggr( sum( {< Date={20181231},Product={"=sum({<Date={20181231}>}Balance)>1000000"} >} Due ) /sum( {< Date={20181231},Product={"=sum({<Date={20181231}>}Balance)>1000000"} >} Balance ) ,Product ) > aggr( sum(total {< Date={20181231} >} Due ) /sum(total {< Date={20181231} >} Balance ) ,Product ) ,Product )	Due %	Balance
LM	3.64%	$1,050,053.35	LM	3.64%	$1,050,053.35
Fr	2.53%	$1,581,308.10	Fr	2.53%	$1,581,308.10
Int	2.20%	$1,105,440.39	Int	2.20%	$1,105,440.39
Ma	2.13%	$3,310,626.70	Ma	2.13%	$3,310,626.70
Ti	2.12%	$1,246,107.42	Ti	2.12%	$1,246,107.42
De	2.10%	$1,249,319.67	De	2.10%	$1,249,319.67
Te	2.09%	$7,297,799.99	Te	2.09%	$7,297,799.99
W	2.06%	$3,703,667.27	W	2.06%	$3,703,667.27
Big	2.05%	$49,213,667.16	Big	2.05%	$49,213,667.16
Ge	2.01%	$1,648,498.29	Ge	2.01%	$1,648,498.29
Su	1.95%	$93,547,731.32	Su	1.95%	$93,547,731.32
CMT	1.88%	$4,924,117.17	CMT	1.88%	$4,924,117.17
Lo	1.70%	$16,355,766.39	Red	1.70%	$1,550,989.61
Ca	1.69%	$2,557,714.08	Lo	1.70%	$16,355,766.39
Lo	1.68%	$1,301,617.45	Ca	1.69%	$2,557,714.08
Ga	1.54%	$4,549,460.06	Lo	1.68%	$1,301,617.45
Tu	1.53%	$1,872,888.40	Ga	1.54%	$4,549,460.06
Ho	1.50%	$4,225,626.65	Bo	1.54%	$8,474,888.61
Br	1.45%	$2,353,437.39	Tu	1.53%	$1,872,888.40
Vi	1.45%	$1,317,374.95	Bu	1.52%	$1,997,419.22
AB	1.44%	$1,085,893.87	Ho	1.50%	$4,225,626.65
St	1.40%	$3,181,642.72	Br	1.48%	$7,890,247.90
Lak	1.37%	$3,970,718.85	PJ	1.46%	$40,884,035.28
En	1.35%	$1,941,699.58	Bro	1.45%	$2,353,437.39
Ap	1.29%	$4,901,928.38	Vi	1.45%	$1,317,374.95

Re: Nested Aggr - Set Analysis

phoenix — Tue, 08 Jan 2019 03:06:41 GMT

Set Analysis 1:

Set Analysis 2:

Set Analysis 3: (two dimensions)

=Product

=if(Date=20181231,Date)

Set Analysis 4:

Out of these Four straight tables I am seeing more results from set Analysis 3,4 and they both match. Not sure why first two are not working. I can use Set analysis 4, but rank is not working in that. It is giving me all results for (>$1M) instead of top 25. how to make Rank function work in the Set analysis 4? Thanks

Re: Nested Aggr - Set Analysis

bgerchikov — Tue, 08 Jan 2019 03:25:19 GMT

Hi Phoenix,

Not sure about your second expression. For example, Product "Lo" appears 2 times.

Can you upload your app?

Sorry, I'm away from my testing environment right now....

Re: Nested Aggr - Set Analysis

bgerchikov — Tue, 08 Jan 2019 04:16:14 GMT

OK. Let's try to go in different direction.

For dimension you will use your initial Aggr statement, which limit your products by 25M or so.

In chart expression you can use the rank function

=if(rank(TOTAL sum({<Date={20181231}>}Due)/sum({<Date={20181231}>}UNPD_PRIN_BAL_AMT)),Product)<= 10,sum({<Date={20181231}>}Due)/sum({<Date={20181231}>}UNPD_PRIN_BAL_AMT)), Null())