dax

This is follow up question of the one asked here . However this time two columns have different granularity and are located in different tables. So simple SUMX solution proposed earlier is not applicable. I attach SumDifferntGranularity.pbix file. How to construct a DAX measure which returns sum of either BudgetProduct (if possible) or BudgetBrand. The logic is take Brand if Product is empty. So expected results looks like this: +---------+-------------+---------------+-----------------+ | Manager | BudgetBrand | BudgetProduct | Expected result | +---------+-------------+---------------+------

Suppose I have a table as follows: TableA = DATATABLE ( "Year", INTEGER, "Group", STRING, "Value", DOUBLE, { { 2015, "A", 2 }, { 2015, "B", 8 }, { 2016, "A", 9 }, { 2016, "B", 3 }, { 2016, "C", 7 }, { 2017, "B", 5 }, { 2018, "B", 6 }, { 2018, "D", 7 } } ) I want a measure that returns the top Group based on its Value that work inside or outside a Year filter context. That is, it can be used in a matrix visual like this (including the Total row): It's not hard to find the maximal value using DAX: MaxValue = MAX(TableA[Value]) or MaxValue = MAXX(TableA, TableA[Value]) But what is the best way to

I am searching for a method to utilize within Microsoft PowerPivot 2010 that will allow me to perform dynamic ranking that will automatically update the associated rank value based on filters and slicer values that are applied. Thusfar, all examples I have seen utilize the Calculate() DAX function that overrides existing filters within the PowerPivot table via the All() function which causes predefined filters that users may apply to be disregarded. To illustrate my requirements, please reference the example below: (Source Data within PowerPivot Window:) ---------------------------------------

https://docs.aws.amazon.com/zh_cn/amazondynamodb/latest/developerguide/Limits.html 容量单位大小（对于预置表） 一个读取容量单位 = 对大小为 4 KB 的项目每秒执行一次强一致性读取，或每秒执行两次最终一致性读取。 一个写入容量单位 = 对大小为 1 KB 的项目每秒执行一次写入。 事务读取请求需要 2 个读取容量单位才能对大小最多为 4 KB 的项目每秒执行一次读取。 事务写入请求需要 2 个写入容量单位才能对大小最多为 1 KB 的项目每秒执行一次写入。 请求单位大小（对于按需表） 一个读取请求单位 = 对大小最多为 4 KB 的项目执行一次强一致性读取，或执行两次最终一致性读取。 一个写入请求单位 = 对大小最多为 1 KB 的项目执行一次写入。 事务读取请求需要 2 个读取请求单位才能对大小最多为 4 KB 的项目执行一次读取。 事务写入请求需要 2 个写入请求单位才能对大小最多为 1 KB 的项目执行一次写入。 每个账户中表的数量 对于任何 AWS 账户，每个 AWS 区域的初始限制为 256 个表。 要请求提高服务限制，请参阅 https://aws.amazon.com/support 。 每个表的二级索引 您最多可以定义 5 个本地二级索引。 每张表的初始限制为 20 个全局二级索引

I need to calculate the cumulative sum of Max value per period (or per category). See the embedded image. So, first, I need to find max value for each category/month per year. Then I want to calculate the cumulative SUM of these max values. I tried it by setting up max measure (which works fine for the first step - finding max per category/month for a given year) but then I fail at finding a solution to finding cumulative SUM (finding the cumulative Max is easy, but it is not what I'm looking for). Table1 Year Month MonthlyValue MaxPerYear 2016 Jan 10 15 2016 Feb 15 15 2016 Mar 12 15 2017 Jan

I'm very new to DAX and PowerPivots. I am using PowerPivot to pull data from an SQL server. The data I'm working with is pretty large and complex but I'm considering a simplified version of it for this question. Let's say I have 2 columns, one that contains product names and one that contains a date that product was sold. I have a row for each time 1 unit of any product is sold. Product | Date Orange | 08/13/2013 Orange | 08/13/2013 Orange | 08/13/2013 Apple | 08/14/2013 Apple | 08/16/2013 Orange | 08/17/2013 Orange | 08/17/2013 I want to use DAX to get a running count of how much of a product

I have a data set that resembles the following: Year Location Type Amount 2015 West Apple 12 2015 West Pear 14 2015 East Apple 55 2015 South Orange 62 2015 West Orange 64 2015 East Banana 12 2015 North Banana 23 2015 East Peach 43 2015 East Apple 89 2015 West Banana 77 2015 West Orange 43 2015 North Apple 2 And I need it to be summarized to show TopN as well as all other in order to keep the grand total the same. Just filtering to show only the TopN reduces the grand total and will not work... The end result should look like this (n=3 in this example): Type Amount Orange 169 Apple 158 Banana