Forum Discussion

matty_pants's avatar
matty_pants
Frequent Visitor
7 years ago

Help needed filtering line value in Line and Cluster Column Chart

I have a Line and Clustered Column chart where (A) columns are a volume, (B) the line is a cost, and (C) the Common Axis is month, and (D) there is a Page Filter of "Years" with a selection of three years.

 

The resulting clustering of columns is groups of years for the volume for that month and year. The resulting line, which is where the problem occurs, appears to be the sum of all three years. I need the line to provide only the sum for one year not all three. How is this achieved?

 

2 Replies

  • v-yuta-msft's avatar
    v-yuta-msft
    Community Support

    matty_pants ,

     

    The in the value field of the line, which column or measure you put in it? Could you share some details? If possible, please share some sample data and dax formula you are using.

     

    Regards,

    Jimmy Tao

    • matty_pants's avatar
      matty_pants
      Frequent Visitor

      Hi Jimmy

       

      This is what I am woring with for data. The "Energy Cost" is the line and "Energy, kWh" the columns. There should be three "School Year"s represented. 

       

      Thanks!

       

      MonthEnergy CostEnergy, ekWhSchool Year
      1$31,8892032572015/2016
      1$40,8412452472016/2017
      1$38,1802499302017/2018
      2$32,4241880182015/2016
      2$35,7532288312016/2017
      2$32,6662278622017/2018
      3$33,2361918052015/2016
      3$41,6602483202016/2017
      3$37,6642382592017/2018
      4$35,5811826662015/2016
      4$41,6252300852016/2017
      4$36,3022124992017/2018
      5$30,4401816142015/2016
      5$41,0292328102016/2017
      5$33,3322012672017/2018
      6$31,4441816052015/2016
      6$38,3702112312016/2017
      6$37,0301833762017/2018
      7$25,7281423962015/2016
      7$41,3792224872016/2017
      7$35,6751695762017/2018
      8$27,6431336812015/2016
      8$37,5632069702016/2017
      8$34,3191618362017/2018
      9$21,3731775442015/2016
      9$31,8381796472016/2017
      9$35,5922248162017/2018
      10$23,9771990182015/2016
      10$30,7422019962016/2017
      10$45,5282397852017/2018
      11$23,3762021342015/2016
      11$35,0232218832016/2017
      11$42,2082588502017/2018
      12$23,2681945292015/2016
      12$39,5182283742016/2017
      12$45,2422450922017/2018