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Dynamic calculation in table possible?

Dear All,

    

Could you please tell me whether a dynamic calculation is possible?

Imagine I have a table like this (in script editor):

Table1:

  Load * INLINE [

  Var1, Var2, Var3,Var4,Var5

  1,5,6,5,7

  2,6,8,1,9

  10,5,8,2,9

  ];

    

Table2:

  LOAD (Var1 + Var2 +Var3) as [sum all var]

Resident Table1;

This simple situation becomes complex when

  • Table1 has 500 columns from Var1 up to Var500
  • Table1 has different column names, so Var1 = Thickness, Var2 = Spreadability
  • The sum of Var1..,.Var500 varies depending on the data structure and user selection
    and as a consequence not all columns will be concerned in computation e.g. (Var1
    + Var2) as [sum all var],  (Var12 + Var13 + Var273 + Var303) as [sum all var] etc. a LOT of possibilities.

As you may see, this is an example of dynamic environment. I suppose that this can be solved with a
macro program but I’m not very sure.

Can you please demonstrate it how to solve this?

Thanks and best regards,

    

Cornelis

1 Solution

Accepted Solutions
Highlighted
MVP & Luminary
MVP & Luminary

Table1:

  Load rowno() as row, * INLINE [

  Var1, Var2, Var3,Var4,Var5

  1,5,6,5,7

  2,6,8,1,9

  10,5,8,2,9

  ];

  

Temp:

CrossTable(Var,Value)

load  * Resident Table1;

join(Table1)

load row, sum(Value) as [sum all var]

Resident Temp

group by row;

drop table Temp;

drop field row;


talk is cheap, supply exceeds demand

View solution in original post

4 Replies
Highlighted
Not applicable

Instead of variables, it would be perhaps better to handle these as values of dimension.

var1, ..., var500 could become values of a dimension that you will sum up by selecting them.

Fabrice

Highlighted
Not applicable

Thanks for your answer.

Do you have an example to demonstrate this, using the example above?

Regards,

Cornelis

Highlighted
MVP & Luminary
MVP & Luminary

Table1:

  Load rowno() as row, * INLINE [

  Var1, Var2, Var3,Var4,Var5

  1,5,6,5,7

  2,6,8,1,9

  10,5,8,2,9

  ];

  

Temp:

CrossTable(Var,Value)

load  * Resident Table1;

join(Table1)

load row, sum(Value) as [sum all var]

Resident Temp

group by row;

drop table Temp;

drop field row;


talk is cheap, supply exceeds demand

View solution in original post

Highlighted
Not applicable

Yes, that is the answer where I'm looking for!

The crosstable option is the best to handle columns in a dynamic environment.

Best regards,

Cornelis