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Hello,
I would please like some help to create an index table.
I have a 'date' table to which 'my data' table is joined to by 'date'. - format e.g 01/04/2021
Suppose I have a created a pivot table like below which has data by financial years and months.
MY DATA | ||||||||||||
Year | Apr | May | Jun | Jul | Aug | Sep | Oct | Nov | Dec | Jan | Feb | Mar |
2017/2018 | 4 | 6 | 8 | 4 | 2 | 7 | 4 | 2 | 6 | 8 | 8 | 7 |
2018/2019 | 9 | 7 | 3 | 6 | 6 | 8 | 6 | 9 | 7 | 3 | 2 | 5 |
2019/2020 | 8 | 5 | 6 | 9 | 1 | 9 | 9 | 6 | 8 | 8 | 4 | 9 |
This is the Index table Id like to create
Indexing | ||||||||||||
Year | Apr | May | Jun | Jul | Aug | Sep | Oct | Nov | Dec | Jan | Feb | Mar |
2017/2018 | 0.73 | 1.09 | 1.45 | 0.73 | 0.36 | 1.27 | 0.73 | 0.36 | 1.09 | 1.45 | 1.45 | 1.27 |
2018/2019 | 1.52 | 1.18 | 0.51 | 1.01 | 1.01 | 1.35 | 1.01 | 1.52 | 1.18 | 0.51 | 0.34 | 0.85 |
2019/2020 | 1.17 | 0.73 | 0.88 | 1.32 | 0.15 | 1.32 | 1.32 | 0.88 | 1.17 | 1.17 | 0.59 | 1.32 |
Essentially for Indexing
2017/2018 Apr takes the value for my data 2017/2018 Apr and divides it by the average of entire Financial Years value from apr - mar 2017/2018 - see example below.
4 / Average of (4 6 8 4 2 7 4 2 6 8 8 7)
Results = 0.73
Does anyone have any idea how I can do this in PowerBI using Dax or any other suitable way please.
Would be much appreciated.
Thank you 🙂
@Summer_PBI Try:
Measure Ratio =
VAR __Value = [Measure] //whatever you currently have in your matrix
VAR __Average =
AVERAGEX(
ADDCOLUMNS(
SUMMARIZE(ALLEXEPT('Table',[Year]),[Month]),
"__Value",[Measure]
),
[__Value]
)
VAR __Result = DIVIDE(__Value, __Average)
RETURN
__Result
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