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我正在尝试在PowerBi中为调查数据制定加权平均数。 我目前有以下两个表（简化）：
调查数据
ID How would you score the service? Do you agree with X?
---------------------------------------------------------------------------
23 Fair Agree
24 Poor Strongly disagree
25 Fair Agree
26 Very poor *blank*
27 Very good Strongly agree
权重
Weight Score Likert
-------------------------------------------------
1 Very poor Strongly disagree
2 Poor Disagree
3 Fair Neither agree nor disagree
4 Good Agree
5 Very good Strongly Agree
目前， 'surveydata'[How would you score the service?]和'weights'[weight] 。
我尝试计算的加权平均公式如下：
(x1 * w1) + (x2 * w2) + ... (xn * wn)
Weighted Ave = ___________________________________________
x1 + x2 + ... xn
哪里：
w = weight of answer choice
x = response count for answer choice
对于上面的示例，我需要两种度量- 'surveydata'[How would you score the service?]的加权平均值'surveydata'[How would you score the service?]和'surveydata'[How would you score the service?]的加权平均值'surveydata'[Do you agree with X?] 。
对于上面的示例， 'surveydata'[How would you score the service?]的加权平均数应为2.8。
请注意，并发症之一是存在*空白*单元格的事实。
谁能在PowerBI中提出一种通过计算的度量（或其他方法）做到这一点的方法？
您可以将SurveyData表中每一行的权重相加，然后除以行数
Weighted Ave =
DIVIDE(
SUMX(SurveyData, RELATED(Weights[Weight])),
COUNTROWS(SurveyData)
)
或者简单地使用平均函数
Weighted Ave = AVERAGEX(SurveyData, RELATED(Weights[Weight]))
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