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Excel Customers Paying Less Than Average - Episode 2639 

MrExcel.com
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14 июл 2024

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Комментарии : 13   
@ExcelwithAG
@ExcelwithAG 3 месяца назад
An absolutely great video, always wondered how the heck can calculate the value fields of a pivot table within the pivot table but never thought of going this route. Thank you so much
@excelisfun
@excelisfun 5 месяцев назад
Rad DAX!!! I am like you, I love to right-click table name, Add Measure!!
@johnborg5419
@johnborg5419 5 месяцев назад
Thanks Mr Excel.
@iankr
@iankr 5 месяцев назад
Nice one
@roywilson9580
@roywilson9580 5 месяцев назад
Great video, but it could have all been done in one calculation in the DAX editor using variables.
@chrism9037
@chrism9037 5 месяцев назад
Nice video Mr Excel!
@ExcelInstructor
@ExcelInstructor 5 месяцев назад
Hello Bill :) How are you? I have a question, it is entirely possible to do this in less measures, not to mention its easier in the manage view from power pivot, So you did it this way to show it step by step?
@Excelambda
@Excelambda 5 месяцев назад
Great video!!✌ For fun, a formula: =LET(t,Sales,fl,0, f,LAMBDA(x,TAKE(TAKE(x,,-1)/TAKE(x,,-2),,1)), v,CHOOSECOLS(t,3,7), a,GROUPBY(INDEX(t,,4),v,SUM,,0), b,GROUPBY(CHOOSECOLS(t,4,1),v,SUM,,0), x,XMATCH(TAKE(b,,1),TAKE(a,,1)), j,INDEX(f(a),x), k,f(b)/j, h,HSTACK(b,j,k), IF(fl,FILTER(h,k
@BradleyDunlap
@BradleyDunlap 5 месяцев назад
Quick question: How would you do this same thing, but not include the customer you ae on in the calculation? If one customer was grossly underpaying, it would bring the average down for everyone and make it look like the person was paying slightly less than average than they actually are.
@DDD-fw6nt
@DDD-fw6nt 5 месяцев назад
use median func
@ronaldagee7417
@ronaldagee7417 2 месяца назад
Isn’t that what “show values as…” is for?
@baruchlunabarber7170
@baruchlunabarber7170 2 месяца назад
Which field would you use for that?
@ronaldagee7417
@ronaldagee7417 2 месяца назад
@@baruchlunabarber7170Revenue would be set to average for the aggregation rather than the default sum. Then show values as for that column.
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