Forum Discussion
cottrera
2 years agoPost Prodigy
Distributed Averages
Hi , I have the following table Unit Reference Job# 18 7712012 18 8029903 18 8322638 18 8322662 18 8452691 18 9302275 26 7689550 26 8691041 26 8700602 26 ...
- 2 years ago
Hi cottrera ,
You can refer to below table expression.
Score = VAR TempTable = ADDCOLUMNS(ALL('Table'[Unit Reference]),"Repairs",CALCULATE(COUNTROWS('Table'))) VAR AverageRepairs = ROUND(AVERAGEX(TempTable,[Repairs]),0) VAR ScoreTable = SELECTCOLUMNS( { ("Greater then twice above average",5,AverageRepairs*2+1,99999), ("Between above average and twice above average",4,AverageRepairs+1,AverageRepairs*2), ("Average",3,AverageRepairs,AverageRepairs), ("Between 5 and average",2,6,AverageRepairs-1), ("Between zero and 5",1,1,5), ("Zero",1,0,0) }, "Score Name",[Value1], "Score",[Value2], "Min",[Value3], "Max",[Value4] ) RETURN ADDCOLUMNS( TempTable, "Score Name", MAXX(FILTER(ScoreTable,[Min]<=[Repairs] && [Repairs]<=[Max]),[Score Name]), "Score", MAXX(FILTER(ScoreTable,[Min]<=[Repairs] && [Repairs]<=[Max]),[Score]) )Demo - Distributed Averages.pbix
Did I answer your question? If yes, pls mark my post as a solution and appreciate your Kudos !
Thank you~
cottrera
2 years agoPost Prodigy
Hi based in this scaled down data set
| Unit Reference | #Repairs = COUNTROWS(Repairs) |
| 18 | 6 |
| 26 | 4 |
| 34 | 11 |
| 42 | 7 |
| 50 | 19 |
| 76 | 5 |
| 92 | 2 |
| 109 | 10 |
| 125 | 7 |
| 133 | 7 |
| 141 | 4 |
| 159 | 5 |
| 183 | 4 |
| 191 | 14 |
| 208 | 30 |
| 216 | 11 |
| 224 | 9 |
| 232 | 33 |
| 240 | 22 |
| 258 | 10 |
| 266 | |
| 290 | 28 |
| 307 | 16 |
| 315 | 12 |
| 323 | 38 |
| 349 | 18 |
| 1660 | 6 |
| 1678 | 6 |
| 1686 | 19 |
| 1701 | 8 |
| 1719 | 9 |
| 1727 | 10 |
| 1735 | 6 |
| 1743 | 11 |
| 1751 | 5 |
| 1769 | 6 |
| 1777 | 3 |
| 1785 | 6 |
| 1793 | 3 |
| 1800 | 2 |
| 1818 | 1 |
| 1826 | 6 |
| 1834 | 10 |
| 1842 | 6 |
| 1850 | 6 |
| 1868 | 15 |
| 1876 | 4 |
| 1884 | 1 |
| 1892 | 10 |
| 1909 | 10 |
| 1917 | 18 |
| 1925 | 18 |
| 1933 | 23 |
| 1941 | 12 |
| 1959 | 12 |
| 1975 | 18 |
| 1983 | 9 |
| 1991 | 8 |
| 2014 | 15 |
| 2022 | 17 |
| 2030 | 3 |
| 2048 | 24 |
| 2064 | 54 |
| 2072 | 2 |
| 2105 | 13 |
| 2113 | 6 |
| 2121 | 5 |
| 2147 | 18 |
| 2163 | 40 |
| 2171 | 17 |
| 2189 | 2 |
| 2197 | 33 |
| 2204 | 3 |
| 2212 | 21 |
| 2220 | 10 |
| 2238 | 1 |
| 2303 | 29 |
| 2329 | 25 |
| 2337 | 11 |
| 2345 | 21 |
| 2387 | 19 |
| 2395 | 10 |
| 2402 | 13 |
| 2410 | 22 |
| 2436 | 5 |
| 2444 | 27 |
| 2452 | 19 |
| 2478 | 15 |
| 2486 | 9 |
| 2494 | 39 |
| 2501 | 37 |
| 2519 | 12 |
| 2527 | 5 |
| 2543 | |
| 2551 | |
| 2569 | 6 |
| 2577 | 1 |
| 2585 | 5 |
| 2593 | 5 |
| 2650 | 2 |
| 2668 | 10 |
| 2676 | 52 |
| 2684 | 8 |
| 2692 | 3 |
| 2717 | 2 |
| 2759 | 13 |
| 2767 | 23 |
| 2775 | 8 |
| 2783 | 9 |
| 2808 | 5 |
| 2973 | 14 |
| 2999 | 1 |
| 3004 | 16 |
| 3012 | 27 |
| 3020 | 4 |
| 3038 | 6 |
| 3046 | 46 |
| 3054 | 9 |
| 3062 | 3 |
| 3070 | 24 |
| 3088 | 56 |
| 3096 | 6 |
| 3103 | 6 |
| 3111 | 7 |
| 3129 | 24 |
| 3137 | 2 |
| 3145 | 3 |
| 3153 | 29 |
| 3161 | 4 |
| 3179 | 9 |
| 3187 | 22 |
| 3195 | 13 |
| 3228 | 16 |
| 3236 | 1 |
| 3244 | 4 |
| 3252 | 15 |
| 3260 | 7 |
| 3278 | 9 |
| 3294 | 34 |
| 3301 | 17 |
| 3327 | 5 |
| 3351 | 23 |
| 3369 | 15 |
| 3377 | 2 |
| 3385 | 11 |
| 3393 | 12 |
| 3400 | 1 |
| 3418 | 20 |
| 3426 | 10 |
| 3434 | 4 |
| 3442 | 3 |
| 3450 | 2 |
| 3468 | 1 |
| 3476 | 17 |
| 3484 | 13 |
| 3492 | 4 |
| 3509 | 10 |
When added to the table I would expect the following results
| Unit Reference | Repairs | Score Name | Score |
| 18 | 6 | Between 5 and average | 2 |
| 26 | 4 | Between above average and twice above average | 4 |
| 34 | 11 | Between 5 and average | 2 |
| 42 | 7 | Between 5 and average | 2 |
| 50 | 19 | Between above average and twice above average | 4 |
| 76 | 5 | Between zero and 5 | 1 |
| 92 | 2 | Between zero and 5 | 1 |
| 109 | 10 | Between 5 and average | 2 |
| 125 | 7 | Between 5 and average | 2 |
| 133 | 7 | Between 5 and average | 2 |
| 141 | 4 | Between zero and 5 | 1 |
| 159 | 5 | Between zero and 5 | 1 |
| 183 | 4 | Between zero and 5 | 1 |
| 191 | 14 | Between above average and twice above average | 4 |
| 208 | 30 | Greater than twice above average | 5 |
| 216 | 11 | Between 5 and average | 2 |
| 224 | 9 | Between 5 and average | 2 |
| 232 | 33 | Greater than twice above average | 5 |
| 240 | 22 | Between above average and twice above average | 4 |
| 258 | 10 | Between 5 and average | 2 |
| 266 | Zero | 1 | |
| 290 | 28 | Greater than twice above average | 5 |
| 307 | 16 | Between above average and twice above average | 4 |
| 315 | 12 | Between 5 and average | 2 |
| 323 | 38 | Greater than twice above average | 5 |
| 349 | 18 | Between above average and twice above average | 4 |
| 1660 | 6 | Between 5 and average | 2 |
| 1678 | 6 | Between 5 and average | 2 |
| 1686 | 19 | Between above average and twice above average | 4 |
| 1701 | 8 | Between 5 and average | 2 |
| 1719 | 9 | Between 5 and average | 2 |
| 1727 | 10 | Between 5 and average | 2 |
| 1735 | 6 | Between 5 and average | 2 |
| 1743 | 11 | Between 5 and average | 2 |
| 1751 | 5 | Between zero and 5 | 1 |
| 1769 | 6 | Between 5 and average | 2 |
| 1777 | 3 | Between zero and 5 | 1 |
| 1785 | 6 | Between 5 and average | 2 |
| 1793 | 3 | Between zero and 5 | 1 |
| 1800 | 2 | Between zero and 5 | 1 |
| 1818 | 1 | Between zero and 5 | 1 |
| 1826 | 6 | Between 5 and average | 2 |
| 1834 | 10 | Between 5 and average | 2 |
| 1842 | 6 | Between 5 and average | 2 |
| 1850 | 6 | Between 5 and average | 2 |
| 1868 | 15 | Between above average and twice above average | 4 |
| 1876 | 4 | Between zero and 5 | 1 |
| 1884 | 1 | Between zero and 5 | 1 |
| 1892 | 10 | Between 5 and average | 2 |
| 1909 | 10 | Between 5 and average | 2 |
| 1917 | 18 | Between above average and twice above average | 4 |
| 1925 | 18 | Between above average and twice above average | 4 |
| 1933 | 23 | Between above average and twice above average | 4 |
| 1941 | 12 | Between 5 and average | 2 |
| 1959 | 12 | Between 5 and average | 2 |
| 1975 | 18 | Between above average and twice above average | 4 |
| 1983 | 9 | Between 5 and average | 2 |
| 1991 | 8 | Between 5 and average | 2 |
| 2014 | 15 | Between above average and twice above average | 4 |
| 2022 | 17 | Between above average and twice above average | 4 |
| 2030 | 3 | Between zero and 5 | 1 |
| 2048 | 24 | Between above average and twice above average | 4 |
| 2064 | 54 | Greater than twice above average | 5 |
| 2072 | 2 | Between zero and 5 | 1 |
| 2105 | 13 | Average | 3 |
| 2113 | 6 | Between 5 and average | 2 |
| 2121 | 5 | Between zero and 5 | 1 |
| 2147 | 18 | Between above average and twice above average | 4 |
| 2163 | 40 | Greater than twice above average | 5 |
| 2171 | 17 | Between above average and twice above average | 4 |
| 2189 | 2 | Between zero and 5 | 1 |
| 2197 | 33 | Greater than twice above average | 5 |
| 2204 | 3 | Between zero and 5 | 1 |
| 2212 | 21 | Between above average and twice above average | 4 |
| 2220 | 10 | Between 5 and average | 2 |
| 2238 | 1 | Between zero and 5 | 1 |
| 2303 | 29 | Greater than twice above average | 5 |
| 2329 | 25 | Between above average and twice above average | 4 |
| 2337 | 11 | Between 5 and average | 2 |
| 2345 | 21 | Between above average and twice above average | 4 |
| 2387 | 19 | Between above average and twice above average | 4 |
| 2395 | 10 | Between 5 and average | 2 |
| 2402 | 13 | Average | 3 |
| 2410 | 22 | Between above average and twice above average | 4 |
| 2436 | 5 | Between zero and 5 | 1 |
| 2444 | 27 | Greater than twice above average | 5 |
| 2452 | 19 | Between above average and twice above average | 4 |
| 2478 | 15 | Between above average and twice above average | 4 |
| 2486 | 9 | Between 5 and average | 2 |
| 2494 | 39 | Greater than twice above average | 5 |
| 2501 | 37 | Greater than twice above average | 5 |
| 2519 | 12 | Between 5 and average | 2 |
| 2527 | 5 | Between zero and 5 | 1 |
| 2543 | Zero | 1 | |
| 2551 | Zero | 1 | |
| 2569 | 6 | Between 5 and average | 2 |
| 2577 | 1 | Between zero and 5 | 1 |
| 2585 | 5 | Between zero and 5 | 1 |
| 2593 | 5 | Between zero and 5 | 1 |
| 2650 | 2 | Between zero and 5 | 1 |
| 2668 | 10 | Between 5 and average | 2 |
| 2676 | 52 | Greater than twice above average | 5 |
| 2684 | 8 | Between 5 and average | 2 |
| 2692 | 3 | Between zero and 5 | 1 |
| 2717 | 2 | Between zero and 5 | 1 |
| 2759 | 13 | Average | 3 |
| 2767 | 23 | Between above average and twice above average | 4 |
| 2775 | 8 | Between 5 and average | 2 |
| 2783 | 9 | Between 5 and average | 2 |
| 2808 | 5 | Between zero and 5 | 1 |
| 2973 | 14 | Between above average and twice above average | 4 |
| 2999 | 1 | Between zero and 5 | 1 |
| 3004 | 16 | Between above average and twice above average | 4 |
| 3012 | 27 | Greater than twice above average | 5 |
| 3020 | 4 | Between zero and 5 | 1 |
| 3038 | 6 | Between 5 and average | 2 |
| 3046 | 46 | Greater than twice above average | 5 |
| 3054 | 9 | Between 5 and average | 2 |
| 3062 | 3 | Between zero and 5 | 1 |
| 3070 | 24 | Between above average and twice above average | 4 |
| 3088 | 56 | Greater than twice above average | 5 |
| 3096 | 6 | Between 5 and average | 2 |
| 3103 | 6 | Between 5 and average | 2 |
| 3111 | 7 | Between 5 and average | 2 |
| 3129 | 24 | Between above average and twice above average | 4 |
| 3137 | 2 | Between zero and 5 | 1 |
| 3145 | 3 | Between zero and 5 | 1 |
| 3153 | 29 | Greater than twice above average | 5 |
| 3161 | 4 | Between zero and 5 | 1 |
| 3179 | 9 | Between 5 and average | 2 |
| 3187 | 22 | Between above average and twice above average | 4 |
| 3195 | 13 | Average | 3 |
| 3228 | 16 | Between above average and twice above average | 4 |
| 3236 | 1 | Between zero and 5 | 1 |
| 3244 | 4 | Between zero and 5 | 1 |
| 3252 | 15 | Between above average and twice above average | 4 |
| 3260 | 7 | Between 5 and average | 2 |
| 3278 | 9 | Between 5 and average | 2 |
| 3294 | 34 | Greater than twice above average | 5 |
| 3301 | 17 | Between above average and twice above average | 4 |
| 3327 | 5 | Between zero and 5 | 1 |
| 3351 | 23 | Between above average and twice above average | 4 |
| 3369 | 15 | Between above average and twice above average | 4 |
| 3377 | 2 | Between zero and 5 | 1 |
| 3385 | 11 | Between 5 and average | 2 |
| 3393 | 12 | Between 5 and average | 2 |
| 3400 | 1 | Between zero and 5 | 1 |
| 3418 | 20 | Between above average and twice above average | 4 |
| 3426 | 10 | Between 5 and average | 2 |
| 3434 | 4 | Between zero and 5 | 1 |
| 3442 | 3 | Between zero and 5 | 1 |
| 3450 | 2 | Between zero and 5 | 1 |
| 3468 | 1 | Between zero and 5 | 1 |
| 3476 | 17 | Between above average and twice above average | 4 |
| 3484 | 13 | Average | 3 |
| 3492 | 4 | Between zero and 5 | 1 |
| 3509 | 10 | Between 5 and average | 2 |
If summaried the results would look like this
| Score | Score Name | Count or UNIT ref |
| 1 | Between zero and 5 | 43 |
| 1 | Zero | 3 |
| 2 | Between 5 and average | 52 |
| 3 | Average | 5 |
| 4 | Between average and twice above average | 37 |
| 5 | Greater than twice above average | 17 |
Hope this helps
- xifeng_L2 years agoSuper User
Hi cottrera ,
You can refer to below table expression.
Score = VAR TempTable = ADDCOLUMNS(ALL('Table'[Unit Reference]),"Repairs",CALCULATE(COUNTROWS('Table'))) VAR AverageRepairs = ROUND(AVERAGEX(TempTable,[Repairs]),0) VAR ScoreTable = SELECTCOLUMNS( { ("Greater then twice above average",5,AverageRepairs*2+1,99999), ("Between above average and twice above average",4,AverageRepairs+1,AverageRepairs*2), ("Average",3,AverageRepairs,AverageRepairs), ("Between 5 and average",2,6,AverageRepairs-1), ("Between zero and 5",1,1,5), ("Zero",1,0,0) }, "Score Name",[Value1], "Score",[Value2], "Min",[Value3], "Max",[Value4] ) RETURN ADDCOLUMNS( TempTable, "Score Name", MAXX(FILTER(ScoreTable,[Min]<=[Repairs] && [Repairs]<=[Max]),[Score Name]), "Score", MAXX(FILTER(ScoreTable,[Min]<=[Repairs] && [Repairs]<=[Max]),[Score]) )Demo - Distributed Averages.pbix
Did I answer your question? If yes, pls mark my post as a solution and appreciate your Kudos !
Thank you~
- cottrera2 years agoPost Prodigy
Amazing thank you