My goal is to create measure to get top 3 customer Names and there respective sales.
I am using the below measure to bring top 3 names along with there sales. The below measure is returning all the rows. I fail to understand why this is happening and why filtering is not happening for top 3 customers
topN = calculate(sum(Sale[Total Excluding Tax]),
TOPN(3,
values(Sale[Employee Name]),
calculate(sum(Sale[Total Excluding Tax]))
)
)
Sale[Employee Name] is calculated column and is coming from another table Employee by using Employee Name = RELATED(Employee[Employee])
The DAX is working properly and grabbing top 3 records. Order/sorting is important. You need to order your results.
Create a calculate column [Total Excluding Tax] to sum up the Total excluding tax. Then use that column in a measure; try something like:
Top Sales = TOPN ( 3, ALLSELECTED( 'Sale' ), [Total Excluding Tax]), desc)
Related
I have received answers to my last question. Thanks to all. Now I have another query. I have a lookup table, called Products and a transaction table, called Sales. The relationship between them is one to many. I want to make a Calculated Column at Product to get the total number of sales for each product. I tried to apply Calculate function as solution.
Product [total number of sales] =
Countrows ( Filter (Product, Calculate (Sum( Sales [SalesAmount])))).
I expected products in each row in Product table shall filter the sum of sales amount and generate a virtual table with all the entries related to a particular product. And finally, Countrows shall count the number of entries. But on the contrary, it resulted with same number in each row.
I am just a beginner in DAX. I tried to solve it depending on context transition concept. But my guess was wrong. Please help me out. Thank you in advance.
Use RELATEDTABLE:
If you just want the number of entries in the Sales table per product:
=
COUNTROWS(
RELATEDTABLE( Sales )
)
If you want the total sales per product:
=
SUMX(
RELATEDTABLE( Sales ),
Sales[SalesAmount]
)
I'm developing an application that uses a tabular database to show some business data.
I need to provide some basic filtering over measures values (equal to, greater than, lesser than etc.) and I'm currently analyzing the proper way to generate the MDX.
Looking at some documentation (and other threads on this site), I found that the most efficient approach would be using the FILTER or HAVING functions to filter out undesired values.
Unfortunately all examples normally include measures on one axis and dimension member on the other, but I potentially have dimension members in both axis and can't find a proper solution to use such functions to filter by measure value.
What have I done so far?
To make it easier to explain, let's say that we want to get the yearly sales quantities by product class filtering quantity > 1.3 milions
Trying to use HAVING or FILTER Functions, the resulting MDX I came up with is
SELECT
NON EMPTY {[YearList].[Year].[Year].MEMBERS * [Measures].[Qty]}
HAVING [Measures].[Qty] > 1.3e6 ON COLUMNS,
NON EMPTY {[Classes].[cClass].[cClass].MEMBERS}
HAVING [Measures].[Qty] > 1.3e6 ON ROWS
FROM [Model]
or
SELECT
NON EMPTY FILTER({[YearList].[Year].[Year].MEMBERS * [Measures].[Qty]},
[Measures].[Qty] > 1.3e6) ON COLUMNS,
NON EMPTY FILTER({[Classes].[cClass].[cClass].MEMBERS} ,
[Measures].[Qty] > 1.3e6) ON ROWS
FROM [Model]
But this is of course leading to unexpected result for the final user because the filter is happening on the aggregation of the quantities by the dimension on that axis only, which is greater then 1.3M
The only way I found so far to achieve what I need is to define a custom member with an IIF statement
WITH
MEMBER [Measures].[FilteredQty] AS
IIF ( [Measures].[Qty] > 1.3e6, [Measures].[Qty], NULL)
SELECT
NON EMPTY {[YearList].[Year].[Year].MEMBERS * [Measures].[FilteredQty]} ON COLUMNS,
NON EMPTY {[Classes].[cClass].[cClass].MEMBERS} ON ROWS
FROM [Model]
The result is the one expected:
Is this the best approach or I should keep using FILTER and HAVING functions? Is there even a better approach I'm still missing?
Thanks
This is the best approach. You need to consider how MDX resolves result. In the example above it is a coincidence that your valid data in a continous region of first four columns of first row. Lets relax the filtering clause and make it >365000. Now take a look at last row of the result, the first two columns and the last column are eligible cells but the third and fourth column is not eligible. However your query will report it as null and the non empty function will not help. The reason is that non empty needs the entire row to be null
Now the question that why filter is not eliminating the cell? Filter will eliminate a row or column when the criteria is greater then the sum on the other axis. So if filter is on columns the filter value has to be greater than the sum of rows for that column. Take a look at the sample below as soon as you remove the comments the last column will be removed.
select
non empty
filter(
([Measures].[Internet Sales Amount]
,{[Date].[Calendar Year].&[2013],[Date].[Calendar Year].&[2014]}
,[Date].[Calendar Quarter of Year].[Calendar Quarter of Year]
),([Date].[Calendar Year].currentmember,[Date].[Calendar Quarter of Year].currentmember,[Product].[Subcategory].currentmember,[Measures].[Internet Sales Amount])>45694.70--+0.05
)
on columns
,
non empty
[Product].[Subcategory].members
on rows
from
[Adventure Works]
Edit another sample added.
with
member [Measures].[Internet Sales AmountTest]
as
iif(([Date].[Calendar Year].currentmember,[Date].[Calendar Quarter of Year].currentmember,[Product].[Subcategory].currentmember,[Measures].[Internet Sales Amount])>9000,
([Date].[Calendar Year].currentmember,[Date].[Calendar Quarter of Year].currentmember,[Product].[Subcategory].currentmember,[Measures].[Internet Sales Amount]),
null
)
select
non empty
({[Measures].[Internet Sales Amount],[Measures].[Internet Sales AmountTest]}
,{[Date].[Calendar Year].&[2013]}
,[Date].[Calendar Quarter of Year].[Calendar Quarter of Year]
)
on columns
,
non empty
[Product].[Subcategory].[Subcategory]
on rows
from
[Adventure Works]
Im trying to build a query that pulls the information from one table and also pulls the max and min value of that product in another table but cannot seem to get this to work.
This is what I have:
$rentals = Rentals::select('rentals.main_image','rentals.rental_name','rentals.slug','rentals.summary',DB::raw('max(prices.price) as price_high'),DB::raw('min(prices.price) as price_low'))
->leftjoin('prices', 'rentals.id', '=', 'prices.rental_id')
->where('destination',$destination_id)->paginate(6);
This returns 1 row ( there should be 88 ) and it gets me the highest and lowest price in the table regardless of rental_id. There are other factors that will filter into this like dates but for now I just need the rental info plus the highest and lowest price for that rental.
I'm trying to figure out how to build a measure that sums a total, but only taking the first non-empty row for a user.
For example, my data looks like the below:
date user value
-----------------
1/1/17 a 15
2/1/17 a 12
1/1/17 b null
5/1/17 b 3
I'd therefore like a result of 18 (15 + 3).
I'm thinking that using FIRSTNONBLANK would help, but it only takes a single column, I'm not sure how to give it the grouping - perhaps some sort of windowing is required.
I've tried the below, but am struggling to work out what the correct syntax is
groupby(
GROUPBY (
myTable,
myTable[user],
“Total”, SUMX(CURRENTGrOUP(), FIRSTNONBLANK( [value],1 ))
),
sum([total])
)
I didn't have much luck getting FIRSTNONBLANK or GROUPBY to work exactly how I wanted, but I think I found something that works:
SUMX(
ADDCOLUMNS(
ADDCOLUMNS(VALUES(myTable[User]),
"FirstDate",
CALCULATE(MIN(myTable[Date]),
NOT(ISBLANK(myTable[Value])))),
"FirstValue",
CALCULATE(SUM(myTable[Value]),
FILTER(myTable, myTable[Date] = [FirstDate]))),
[FirstValue])
The inner ADDCOLUMNS calculates the first non-blank date values for each user in the filter context.
The next ADDCOLUMNS, takes that table of users and first dates and for each user sums each [value] that occurred on each respective date.
The outer SUMX takes that resulting table and totals all of the values of [FirstValue].
I can't find out a way, how to sort my query, this is the simple query:
SELECT {[Measures].[IB]}
ON COLUMNS,
{[Dim_Product_Models_new].[PLA].members } *
{[Dim Dates_new].[Date Full].&[2013-02-01]:[Dim Dates_new].[Date Full].&[2014-01-01]}
ON ROWS
FROM [cub_dashboard_spares]
The think is, I would get a result for 6 PLAs combined across 12 months (72 rows in total), however it is sorted alphabetically upon PLA.
What i need, is to sort the PLAs based on a measure in last month (2014-01-01 in this case).
Is there any way to perform this task so that the groupping (PLAs, Dates from 2013-02 to 2013-12) is perserved, but only the order of my PLAs is different. (PLA with highest measure in last month would be first, and so on)
Thank you very much for any kind of help
Just put the sorted set on the rows, using the Order function. The third parameter of this function is DESC if you want to sort within each hierarchy level, but still want to get parents before children (like ALL before the single attribute members), or BDESC if you want to sort across all levels.
SELECT {[Measures].[IB]}
ON COLUMNS,
Order({[Dim_Product_Models_new].[PLA].members },
([Measures].[IB], [Dim Dates_new].[Date Full].&[2014-01-01]),
DESC)
*
{[Dim Dates_new].[Date Full].&[2013-02-01]:[Dim Dates_new].[Date Full].&[2014-01-01]}
ON ROWS
FROM [cub_dashboard_spares]
The order function over a crossjoin should preserve the initial order of the first set so reversing the order of the tuple will do the job:
SELECT
{
[Measures].[IB]
} ON COLUMNS,
order(
{[Dim Dates_new].[Date Full].&[2013-02-01]:[Dim Dates_new].[Date Full].&[2014-01-01]} *
{[Dim_Product_Models_new].[PLA].members } ,
[Measures].[IB],
desc
) ON ROWS
FROM [cub_dashboard_spares]
If you want to preserve the oder of appearance of the column labels, you can use the generate function like in the following example from the AW cube:
SELECT
{[Measures].[Internet Sales Amount]} ON 0
,Generate
(
{[Customer].[Country].&[Australia]:[Customer].[Country].&[United Kingdom]}
,(
Order
(
[Date].[Calendar Year].[Calendar Year].MEMBERS
,(
[Customer].[Country].CurrentMember
,[Measures].[Internet Sales Amount]
)
,DESC
)
,[Customer].[Country].CurrentMember
)
) ON 1
FROM [Adventure Works];
Philip,