Create a custom indicator using DAX on power BI - powerbi

Question

FOR ALL POWER BI USERS
I have created a table visual name from table "Example" given below as raw data (similar to result table except Ind column). I want to create an indicator which will be based on the column total using DAX.
Company | Rev 2018 | Rev 2019 | Rev YoY(%) |
-----------------------------------------------------------
A | 440,980,812 | 321,015,626 | -27.20% |
B | 587,171,150 | 248,150,205 | -57.74% |
C | 693,692,632 | 255,633,145 | -63.15% |
D | 753,951,313 | 266,033,862 | -64.71% |
E | 387,652,076 | 393,439,270 | 1.49% |
Total | 2,863,447,983 | 1,484,272,108 | -48.16% |
My current measure calculation is given below
Rev 2018 = CALCULATE(sum(Example[Rev]),Example[Year]=2018)
Rev 2019 = CALCULATE(sum(Example[Rev]),Example[Year]=2019)
Rev YoY(%) = ([Rev 2019]-[Rev 2018])/[Rev 2018]
I want to create an indicator (Ind) which will show 1 if Rev YoY(%)(-27.20% for company A) for the company is greater than equal to (>=) overall/total Rev YoY(%)(-48.16% of total), else it will show 0. And it will changes based on slicer selections(if Jan is selected, the updated values should changes based on Jan and similarly for other selections such as Feb , Mar etc).
As of now, the value is based on YTD values.Based on the Jan , Feb etc month , the values will be updated for revenue and YoY, simultaneously Indicator measure should also get updated.
Final result will look like below
Company | Rev 2018 | Rev 2019 | Rev YoY(%) | Ind
-----------------------------------------------------------
A | 440,980,812 | 321,015,626 | -27.20% | 1
B | 587,171,150 | 248,150,205 | -57.74% | 0
C | 693,692,632 | 255,633,145 | -63.15% | 0
D | 753,951,313 | 266,033,862 | -64.71% | 0
E | 387,652,076 | 393,439,270 | 1.49% | 1
Total | 2,863,447,983 | 1,484,272,108 | -48.16% | 1
Please help in case you have the solution.
I tried to used filer(allcrossfiler) but it makes the field constant which does not change with slicers
Rev_total% =
CALCULATE(
[Rev YoY(%)],
ALLCROSSFILTERED(Example)
)
Base Raw data
Company Year Month Rev
A 2018 Jan 3715518
A 2018 Feb 62195456
A 2018 Mar 47896563
A 2018 Apr 30397293
A 2018 May 13316124
A 2018 Jun 54702783
A 2018 Jul 23559246
A 2018 Aug 56357008
A 2018 Sep 91266366
A 2018 Oct 7826397
A 2018 Nov 30081453
A 2018 Dec 19666605
A 2019 Jan 20525691
A 2019 Feb 55636582
A 2019 Mar 70832178
A 2019 Apr 51101460
A 2019 May 71658353
A 2019 Jun 51261362
B 2018 Jan 70866878
B 2018 Feb 16605125
B 2018 Mar 77399457
B 2018 Apr 93675100
B 2018 May 24187836
B 2018 Jun 17141132
B 2018 Jul 23189326
B 2018 Aug 1228527
B 2018 Sep 77025448
B 2018 Oct 69069603
B 2018 Nov 61201073
B 2018 Dec 55581645
B 2019 Jan 49529171
B 2019 Feb 30268530
B 2019 Mar 58895051
B 2019 Apr 16378441
B 2019 May 63289350
B 2019 Jun 29789662
C 2018 Jan 28386565
C 2018 Feb 55081195
C 2018 Mar 98650639
C 2018 Apr 13600972
C 2018 May 79286377
C 2018 Jun 97910757
C 2018 Jul 59601906
C 2018 Aug 60499979
C 2018 Sep 10555754
C 2018 Oct 21239252
C 2018 Nov 79278588
C 2018 Dec 89600648
C 2019 Jan 27489712
C 2019 Feb 8085774
C 2019 Mar 33489287
C 2019 Apr 52598275
C 2019 May 50816690
C 2019 Jun 83153407
D 2018 Jan 69955023
D 2018 Feb 1684049
D 2018 Mar 44503967
D 2018 Apr 91505045
D 2018 May 74480545
D 2018 Jun 70038948
D 2018 Jul 28811752
D 2018 Aug 82052925
D 2018 Sep 97215945
D 2018 Oct 48093159
D 2018 Nov 96939697
D 2018 Dec 48670258
D 2019 Jan 68414609
D 2019 Feb 34593576
D 2019 Mar 28277668
D 2019 Apr 46146140
D 2019 May 83794133
D 2019 Jun 4807736
E 2018 Jan 21180873
E 2018 Feb 14552267
E 2018 Mar 27409537
E 2018 Apr 68894164
E 2018 May 24608038
E 2018 Jun 12774844
E 2018 Jul 13193433
E 2018 Aug 89921780
E 2018 Sep 34581806
E 2018 Oct 52068148
E 2018 Nov 11374013
E 2018 Dec 17093173
E 2019 Jan 21748970
E 2019 Feb 95983245
E 2019 Mar 49661560
E 2019 Apr 90056699
E 2019 May 72277971
E 2019 Jun 63710825

Answer 1

You can use the fllowing:
Indicator = if(Example[Rev YoY(%)] > CALCULATE(Example[Rev YoY(%)];ALL(Example[Company]));1;0)
The ALL is doing the trick, it tells pickup all companies data but still keep all other filters.
Some advice:
I would work with real dates and combine the year and month column,
this makes it much easier to work with future data.
You are having now 2018 and 2019, what if your data grows? more years to come.. It is better to talk about PrevYear/NextYear. What you can do is add a column to your data RevNextYear, based on this your reports will always work:
RevNextYear = CALCULATE(sum(RawRevenue[Rev]);
FILTER(RawRevenue;RawRevenue[Company] = EARLIER(RawRevenue[Company]) &&
RawRevenue[Month] = EARLIER(RawRevenue[Month]) &&
RawRevenue[Year] = EARLIER(RawRevenue[Year]) + 1)
)