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How to create a Pivot table with stacked calculated column

Hi

I have a pivot table like this below:

                     201601    201602  201603  201604  201605  (Grand Total)     (LastMonth-FirstMonth)

APPLE            100         200       300       400          500            1500                400

ORANGE        10          20          30         40            50              150                  40

I Have dimension of product and yearmonth.

I have measure of sales.

How can I add the second calculation (LastMonth-FirstMonth)?  The difficulty is in this PivotTable, I dragged yearmonth on the top,then it is difficult for me to add another calculated column.

Thanks

1 Solution

Accepted Solutions
6 Replies
sunny_talwar

Something along these lines

Percent of Total in Pivot Table

petter
Partner - Champion III
Partner - Champion III

DATA:

LOAD * INLINE [

PRODUCT, PERIOD, #

APPLE, 201601, 100

APPLE, 201602, 200

APPLE, 201603, 300

APPLE, 201604, 400

APPLE, 201605, 500

APPLE, TOTAL

APPLE, LMFM

ORANGE,201601, 10

ORANGE,201602, 20

ORANGE,201603, 30

ORANGE,201604, 40

ORANGE,201605, 50

ORANGE, TOTAL

ORANGE, LMFM

]

;

Add the two dimensions PRODUCT and PERIOD

Add the measure:

Pick( Match( PERIOD , 'LMFM' , 'TOTAL' )+1 ,

Sum([#])

,Sum( {<PERIOD={$(MaxPer)}>} TOTAL <PRODUCT> [#] ) - Sum( {<PERIOD={$(MinPer)}>} TOTAL <PRODUCT> [#] )

,Sum( TOTAL <PRODUCT> [#] )

)

Add two variables:

MaxPer    as     =Max(PERIOD)

MinPer     as     =Min(PERIOD)

For the data table it is quite easy to automate the generation of the extra rows that needs to be present in the table to get placeholders for TOTAL and LMFM like this:

FOR i=1 TO FieldValueCount('PRODUCT')

     LOAD FieldValue('PRODUCT',i) AS PRODUCT, 'TOTAL' AS PERIOD AUTOGENERATE 1;    

     LOAD FieldValue('PRODUCT',i) AS PRODUCT, 'LMFM' AS PERIOD AUTOGENERATE 1;

NEXT

MK_QSL
MVP
MVP

Data:

CrossTable(MonthYear, Sales)

Load * Inline

[

  PRODUCT, 201601, 201602, 201603, 201604, 201605

  APPLE, 100, 200, 300, 400, 500

  ORANGE, 10, 20, 30, 40, 50

];

NoConcatenate

Final:

Load PRODUCT, Date#(MonthYear,'YYYYMM') as MonthYear, Sales Resident Data;

Drop Table Data;

Test:

Load * Inline

[

  Dim

  1

  2

  3

];

Now create a pivot table

Dimension

PRODUCT

=Pick(Dim,MonthYear,'GrandTotal','Diff')

Expression

=Pick(Dim,

  SUM(Sales),

  SUM(TOTAL <PRODUCT>Sales),

  SUM({<MonthYear = {"$(=Date(Max(MonthYear),'YYYYMM'))"}>}Sales)-SUM({<MonthYear = {"$(=Date(Min(MonthYear),'YYYYMM'))"}>}Sales)

  )

sunny_talwar

Manish I don't think you need TOTAL here:

=Pick(Dim,

  SUM(Sales),

  SUM(TOTAL <PRODUCT>Sales),

  SUM({<MonthYear = {"$(=Date(Max(MonthYear),'YYYYMM'))"}>}Sales)-SUM({<MonthYear = {"$(=Date(Min(MonthYear),'YYYYMM'))"}>}Sales)

  )

This should work also

=Pick(Dim,

  SUM(Sales),

SUM(Sales),

  SUM({<MonthYear = {"$(=Date(Max(MonthYear),'YYYYMM'))"}>}Sales)-SUM({<MonthYear = {"$(=Date(Min(MonthYear),'YYYYMM'))"}>}Sales)

  )

MK_QSL
MVP
MVP

Yeah.. through Cartesian Join..!

sunny_talwar

Yes kind of sort of