Forum Discussion

caseski's avatar
caseski
Helper I
5 years ago
Solved

New calculated column from input data

Dear all, I’d like to transform a production report to a cost management report.

Data are imported from production DB (SQL DB), below an example table:

 

CUSTOMER

PRODUCT

TIME

ITEM

WEIGHT

ALFA

PIPPO

06/07/2021 12.00

SUGAR

3

ALFA

PIPPO

06/07/2021 12.05

MILK

2

ALFA

PIPPO

06/07/2021 12.08

EGGS

1

BETA

PLUTO

06/07/2021 12.12

MILK

2

BETA

PLUTO

06/07/2021 12.15

EGGS

4

BETA

PLUTO

06/07/2021 12.20

SUGAR

3

 

I’d like to calculate the cost of every product as result of: ‘Weight’ x ‘ITEM_PRICE’.

The problem is that DB doesn’t have the ITEM_PRICE so I should input it assuming that costs changes every month (remain constant for a month).

As there are thousands of rows but items are a few (about 10) I assume that I could input ITEM_PRICE in a new table and then merge the new table to the production one.

I'd like to import the ITEM from DB and input only the cost of every Item every month.

Something like the table below:

 

ITEM*

TIME*

COST (input data)

SUGAR

JUNE

120

MILK

JUNE

140

EGGS

JUNE

90

SUGAR

JULY

122

MILK

JULY

142

EGGS

JULY

92

 

*from DB

 

What do you think? is it correct?

How can I generate a new table importing Item and how can I input Item_cost and then merge the two tables in order to create the measure (WEIGTH x ITEM COST)?

  • caseski , If the time in the second table can be the date, any date in a month then we can create a new column

     

    A new column in Table 1

    maxx(filter(Table2, Table2[item] = Table1[item] && eomonth(Table2[time]) = eomonth(Table1[time])), Table2[Cost]) * Table1[Weight]

     

    or

     

    AverageX(filter(Table2, Table2[item] = Table1[item] && eomonth(Table2[time]) = eomonth(Table1[time])), Table2[Cost]) * Table1[Weight]

4 Replies

  • caseski , If the time in the second table can be the date, any date in a month then we can create a new column

     

    A new column in Table 1

    maxx(filter(Table2, Table2[item] = Table1[item] && eomonth(Table2[time]) = eomonth(Table1[time])), Table2[Cost]) * Table1[Weight]

     

    or

     

    AverageX(filter(Table2, Table2[item] = Table1[item] && eomonth(Table2[time]) = eomonth(Table1[time])), Table2[Cost]) * Table1[Weight]

    • caseski's avatar
      caseski
      Helper I

      Thank you amitchandak the second table doesn't exist, I must create it as a new table but ITEM should be the same of Table1, is it possible?

      I wanna input only the ITEM_COST every month

  • v-yingjl's avatar
    v-yingjl
    Community Support

    Hi caseski ,

    Since there are not products in the second table, how would you calculate it based on products? In other words, how would you group the table by products to calculate?

     

    Best Regards,
    Community Support Team _ Yingjie Li
    If this post helps, then please consider Accept it as the solution to help the other members find it more quickly.

    • caseski's avatar
      caseski
      Helper I

      Hi v-yingjl  and amitchandak 

       

      Thank you for your help, I’m very new on Power Bi and Data shaping and this community is very useful, I found a thread with a similar question, and I tried to adapt the solution on my project using also amitchandak solution. I don’t know if it is the best solution but for the moment it seems to be working.

       

      I create a new input table

      Table1

      ITEM

      DATE_ITEM

      PRICE

      SUGAR

      01 June 2021

      120

      MILK

      01 June 2021

      140

      EGGS

      01 June 2021

      90

      SUGAR

      07 June 2021

      122

       

      Where all columns are input data (not imported from DB).

      Items are the same of DB, Time and costs are not in the production DB.

       

      Then I create two new columns on the production table:

      CUSTOMER

      PRODUCT

      TIME

      ITEM

      WEIGHT

      DATA MP

      PRICE MP

      ALFA

      PIPPO

      03 June 2021 12.00

      SUGAR

      3

      01 June 2021

      120

      ALFA

      PIPPO

      03 June 2021 12.05

      MILK

      2

      01 June 2021

      140

      ALFA

      PIPPO

      03 June 2021 12.08

      EGGS

      1

      01 June 2021

      90

      BETA

      PLUTO

      03 June 2021 12.12

      MILK

      2

      01 June 2021

      140

      BETA

      PLUTO

      08 June 021 12.15

      EGGS

      4

      01 June 2021

      90

      BETA

      PLUTO

      09 June 2021 12.20

      SUGAR

      3

      07 June 2021

      122

       

      Data_MP = CALCULATE(MAX(Table1[Date_Item]),filter(Table1,Table1[Item]=earlier([Item])&&Table1[Date_Item]<=EARLIER([time])))

       

      Price_MP = LOOKUPVALUE(Table1[Price],[item],[item],Table1[Date_Item],[Data_MP])

       

      Then I create a measure Weight x Price MP to calculate the cost of every batch.

       

      Now I must do two improvements:

      • I’m trying to figure out how to import in the TABLE1 the first column Items from DB where there is also the list of Items updated. And continue to input the second and third column (date and price). This would be useful to avoid forgetting a new item.
      • Record in DB are automatically deleted after 1 year and 6 month, I would like to record also older data