I shortened the names of the columns a bit to make the result table stay in the answer
I named the sample data table "Status"
For the Running Sum we iterate filtering the Status of the current row and an index less than or equal to the current row's
Running Sum =
VAR CurrentRowStatus = Scores[Status]
VAR CurrentIndex = Scores[General Index]
VAR Result =
SUMX(
FILTER(
Scores,
Scores[Status] = CurrentRowStatus
&& Scores[General Index] <= CurrentIndex
),
Scores[Distribution]
)
RETURN
Result
For the percentages calculated columns we need to compute the total, therefore we use MAXX over the Status table filtered using the current row status
percent =
VAR CurrentRowStatus = Scores[Status]
VAR Total =
MAXX(
FILTER( Scores, Scores[Status] = CurrentRowStatus ),
Scores[Running Sum]
)
VAR Result =
DIVIDE( Scores[Distribution], Total )
RETURN
Result
the cumulative percent calculated column is similar, it just uses the Running Sum calculated column instead of the Distribution
cumulative percent =
VAR CurrentRowStatus = Scores[Status]
VAR Total =
MAXX(
FILTER( Scores, Scores[Status] = CurrentRowStatus ),
Scores[Running Sum]
)
VAR Result =
DIVIDE( Scores[Running Sum], Total )
RETURN
Result
This is the resulting table
Score Range |
tier |
Distribution |
Status |
General Index |
Running Sum |
percent |
cumulative percent |
1-100 |
Tier III |
38 |
Gains |
1 |
38 |
0.6% |
0.6% |
100-125 |
Tier III |
33 |
Gains |
2 |
71 |
0.5% |
1.1% |
125-150 |
Tier III |
49 |
Gains |
3 |
120 |
0.8% |
1.9% |
150-175 |
Tier III |
46 |
Gains |
4 |
166 |
0.7% |
2.7% |
175-200 |
Tier III |
76 |
Gains |
5 |
242 |
1.2% |
3.9% |
200-225 |
Tier II |
135 |
Gains |
6 |
377 |
2.2% |
6.1% |
225-250 |
Tier I |
348 |
Gains |
7 |
725 |
5.6% |
11.7% |
250-275 |
Tier I |
417 |
Gains |
8 |
1142 |
6.7% |
18.4% |
275-300 |
Tier I |
541 |
Gains |
9 |
1683 |
8.7% |
27.1% |
300-325 |
Tier I |
682 |
Gains |
10 |
2365 |
11.0% |
38.2% |
325-350 |
Tier I |
910 |
Gains |
11 |
3275 |
14.7% |
52.8% |
350-375 |
Tier I |
781 |
Gains |
12 |
4056 |
12.6% |
65.4% |
375-400 |
Tier I |
754 |
Gains |
13 |
4810 |
12.2% |
77.6% |
400-425 |
Tier I |
551 |
Gains |
14 |
5361 |
8.9% |
86.5% |
425-450 |
Tier I |
396 |
Gains |
15 |
5757 |
6.4% |
92.9% |
450-475 |
Tier I |
214 |
Gains |
16 |
5971 |
3.5% |
96.3% |
475-500 |
Tier I |
50 |
Gains |
17 |
6021 |
0.8% |
97.1% |
500 + |
Tier I |
2 |
Gains |
18 |
6023 |
0.0% |
97.2% |
No Score |
Tier I |
176 |
Gains |
19 |
6199 |
2.8% |
100.0% |
1-100 |
Tier III |
350 |
Gross |
1 |
350 |
3.0% |
3.0% |
100-125 |
Tier III |
270 |
Gross |
2 |
620 |
2.3% |
5.3% |
125-150 |
Tier III |
404 |
Gross |
3 |
1024 |
3.5% |
8.8% |
150-175 |
Tier III |
463 |
Gross |
4 |
1487 |
4.0% |
12.7% |
175-200 |
Tier III |
465 |
Gross |
5 |
1952 |
4.0% |
16.7% |
200-225 |
Tier II |
512 |
Gross |
6 |
2464 |
4.4% |
21.1% |
225-250 |
Tier I |
599 |
Gross |
7 |
3063 |
5.1% |
26.2% |
250-275 |
Tier I |
700 |
Gross |
8 |
3763 |
6.0% |
32.2% |
275-300 |
Tier I |
897 |
Gross |
9 |
4660 |
7.7% |
39.9% |
300-325 |
Tier I |
1089 |
Gross |
10 |
5749 |
9.3% |
49.2% |
325-350 |
Tier I |
1415 |
Gross |
11 |
7164 |
12.1% |
61.3% |
350-375 |
Tier I |
1183 |
Gross |
12 |
8347 |
10.1% |
71.4% |
375-400 |
Tier I |
1104 |
Gross |
13 |
9451 |
9.4% |
80.9% |
400-425 |
Tier I |
725 |
Gross |
14 |
10176 |
6.2% |
87.1% |
425-450 |
Tier I |
535 |
Gross |
15 |
10711 |
4.6% |
91.7% |
450-475 |
Tier I |
282 |
Gross |
16 |
10993 |
2.4% |
94.1% |
475-500 |
Tier I |
67 |
Gross |
17 |
11060 |
0.6% |
94.6% |
500 + |
Tier I |
2 |
Gross |
18 |
11062 |
0.0% |
94.7% |
No Score |
Tier I |
624 |
Gross |
19 |
11686 |
5.3% |
100.0% |
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