Unlock a world of possibilities! Login now and discover the exclusive benefits awaiting you.
Hello, if i got a sample like this
number code value old decision category date
1000 A accepted smelting 01/01/2015
1001 A L1 exception smelting 01/01/2015
1003 A L2 exception smelting 01/01/2015
1004 A0 accepted smelting 01/01/2015
1005 R rejected smelting 01/01/2015
in a bar chart if i use
Dimension: category,decision
expresssion: ????????????? what expression do i need to write
so that to get this o/p
X-axis in bar chart count= 2 1 2
accepted rejected exception
expression:i wrote this ......but the problem is how can i make this A code numbers in to two diff decision count
=count({$<Category={'smelting'},ROLE=,SUPCAT=,MaterialName=,YEAR=,QUATERS=,name1=,date={">=$(vFromdate)<=$(vTodate)"}>}number)
naveen kumar wrote:
expression:i wrote this ......but the problem is how can i make this A code numbers in to two diff decision count
What do you mean when you say two diff decision count?
I agree, I don't understand completely. You have one Count() expression, so maybe
=count({$<Category={'smelting'},ROLE=,SUPCAT=,MaterialName=,YEAR=,QUATERS=,name1=,date={">=$(vFromdate)<=$(vTodate)"}, code = {A} >}number)
When you are giving dates from and to also input in set analysis how can get the count as you expected Naveen
HI,
I mean if you see code A as two decision
1)accepted
2)exception
so i want differentiate the numbers,
like code=A count =1 for accepted
code=A count =2 for exception
as far as my known ledge based up on expression the count changes dynamic
But code is not even one of your dimension. I think you should get 2, 1, 2 as the result of your expression. Are you not getting it?
i think i am completely wrong with what i said
Actually the problem is ...
if i got data like this
table1:
number valueold code
1000 A
1001 L1 A
1003 R
1004 A0
table2:
code decision
A accepted
A0 accepted
A exception
R rejected
so if i join these two i am like
number code decision
1000 A accepted
1000 A exception
1001 A accepted
1001 A excception
1003 R rejected
1004 A0 accepted
which is wrong
i want like this
number code decision
1000 A accepted
1001 A excception
1003 R rejected
1004 A0 accepted
these that valueold field based up on that i need to differentiate the codes and there numbers
but i am not sure whether to differentiate it at script or at expression level
edit: insert the image
for the bellow dimension & expressions, you will get the result as you expected..
Dimensions: category,decision
Expression: Count(number)
Naveem,
Your Set analysis should work as explained by the other community members.
My logic would be:
The graph's dimension = CODE
The expression1 [Exception Items] =count({$<Category={'smelting'},decision = {'exception'}>}number)
The expression2 [Accepted Items] =count({$<Category={'smelting'},decision = {'accepted'}>}number)
The expression3 [Rejected Items] =count({$<Category={'smelting'},decision = {'rejected'}>}number)
Leave out the date={">=$(vFromdate)<=$(vTodate)" for now, because if your date formats aren't the same in the Variables and in the tables then you will get null values anyway. Check to see if you get the desired results then build in the dates.
Just a FYI: Hard-coding the scenario into the graph with SET ANALYSIS, is not always ideal. If the data structure changes or more CODES | DECISIONS are added into the data, then they will be neglected, because these have been hard-coded.
IF you can't win, share the QVW into the thread, i'm sure we'll figure it out.
Nico