Please see the code below for a Power BI table in DAX:
TABLE1 =
VAR ParticipantOneParticipantId =
SELECTEDVALUE(
ParticipantOneDetails[ParticipantId]
)
RETURN
FILTER(
ParticipantOneMeetings,
ParticipantOneMeetings[ParticipantId] = ParticipantOneParticipantId
)
I am fetching a value for ParticipantId from a sliced table called ParticipantOneDetails and setting ParticipantOneParticipantId to it.
In the next step I am trying to filter the table ParticipantOneMeetings based on its column ParticipantId comparing it against ParticipantOneParticipantId.
The problem is that the resulting table is coming out empty even though I know that ParticipantOneParticipantId must have a value and the ParticipantOneMeetings table also has values. I verified by comparing against a hard-coded string.
Can you please point out what I am doing wrong? Is comparing this way not legal?
The problem lies in the process you are trying. A calculated/custom tables and columns are static. They always refresh when the data set is refreshed. They do not interact dynamically with the slicer value. So it is impossible to get data from a slicer dynamically for a Custom Table generation.
Now, your requirement of creating a new table based on slicer value is not completely clear to me. As what you are trying, is a simple filtered output of your table "ParticipantOneMeetings" after applying the Slicer. If you have relation between your 2 tables using column "ParticipantId", change in Slicer will automatically filter out values in ParticipantOneMeetings table. Why you wants to hold this same filtered values in a new Custom table is really a mater here to know for finding appropriate solution for you.
Turns out I needed to add the following measure to the table output:
MeetingsAttendedByBothParticipants =
countrows(
INTERSECT(
VALUES(ParticipantOneMeetings[Name]),
VALUES(ParticipantTwoMeetings[Name])
)
)
The above provides an intersection on output of two sliced meeting tables. This results in a list of meetings that both persons attend.
Related
I have a data table based on a query -> tblPrimaryProducts
tblPrimaryProducts has many columns, some of which are Category, SubCategory and Item.
If I were to use a filter on Category I would of course be able to see the SubCategories and Items in that Category. Likewise if I were to apply a filter to SubCategory in turn I would see a list of on the items in that specific Category + SubCategory selection. Ultimately this is the goal of data validation I am trying to implement.
There is a data entry table -> tblPackages
tblPackages has many fields, but importantly the three listed above need to be implemented in a controlled way via data validation so that each row can have the correctly selected Category + SubCategory + Item
I am unable to change the data table into an array or simple (or dynamic) named range because it will be refreshed any number of times and the column positions will potentially alter. This means that I have to use the table based naming system for both tables.
What I have so far is the following for a data validation formula using XLOOKUP:
XLOOKUP([#[Primary Category]] & [#[Primary SubCategory]], tblPrimaryProducts[Category] & tblPrimaryProducts[SubCategory], tblPrimaryProducts[Item],,0)
[#[Primary Category]] and [#[Primary SubCategory]] are fields in the tblPackages data entry table. The other fields listed come from tblPrimaryProducts. So far I have entered data by hand to test this out.
In the XL Formula window (where you can 'see' what your formula is doing while you fill in the fields) this seems to work and provides the output expected.
When I try to implement this as data validation it complains about an error in formula. If I place an INDIRECT at the beginning I get the syntax error popup. I have had issues in the past with INDIRECT that have been solved with the careful use of quotation marks. I cannot seem to find a way here to do this.
Does anyone have any ideas on how I might implement some data validation based off of a data table (as opposed to an array), or the query that the table is based on in this situation? Under normal circumstances I would use dynamic named ranges but here I cannot.
Any help or ideas greatly appreciated
In Office365 the following formula will get you the list of "Items" that satisfy the "Category" and "Subcategory" conditions.
=FILTER(tblPrimaryProducts[Item],(tblPrimaryProducts[Category]=[#[Primary Category]])*(tblPrimaryProducts[Subcategory]=[#[Primary Subcategory]]),"")
It will give you a #SPILL! error if inserted in a Table and it returns multiple items that match the two criteria. You may have to redesign your output table.
If you are intending to display just the filtered values, you can then use two dropdowns with list of categories and subcategories. The filter function can then use these cells to filter the Items from source data and display as a list below.
I have a question regarding Power Query and Tables as parameters for excel.
Right now I can create a table and use it as a parameter for Power query via Drill down.
But I'm unsure how i would proceed with a Table that has multiple values. How can a table be recognized with multiple "values" as a parameter
For example:
I have the following rawdata and parameter tables
Rawdata+parametertables
Now if I wanted to filter after Value2 with a parameter tables I would do a drill down of the parameter tables and load them to excel.
After that I have two tables that I can filter Value2 with an OR Function by 1 and 2
Is it possible to somehow combine this into 1 Table and that it still uses an OR Function to search
Value2
Im asking because I want it to be potentially possible to just add more and more parameters into the table without creating a new table everytime. Basically just copy paste some parameters into the parameter table and be done with it
Thanks for any help in advance
Assuming, you use Parameters only for filtering. There are other ways, but this one looks the best from performance point of view.
You may create Parameters table, so you have such tables:
Note, it's handy to have the same names (Value2) for key column in both tables, otherwise Table.Join will create additional column(s) after merging tables.
Add similar step to filter RawData table:
join = Table.Join(RawData, "Value2", Parameters, "Value2")
I have a shapefile in Spotfire and in the tableview of it I have a column displaying DenseRank. For example, if limit data by expression from the full 100 rows in the table to just 30, the DenseRank does not change. How can I perform this task?
Thanks,
Chris
Tableview does not allow dynamic calculations, unless you have a Document Property in the expression, The calculated column expression executes whenever Document Property value chane (or Calculations refreshed), for your scenario I think instead of using filter create a property control with Fixed values (10,20,30...100) or Values from a column (the one you are using to filter data). and use Document Property linked to the Property Control in your Calculated Column Expression .....
I found a workaround to dynamically rank data based on filtering or marking. If you create a data function as simple as "tableout <- tablein" then you can pass the original filtered and/or marked table to a new table. From there, insert calculated column on the new table and it will recalculate each time.
I am using Excel Powerpivot with data in two separate tables. Table 1 has ITEM level data with a BRAND characteristic. Table 2 has BRAND level data. The two tables are linked by the BRAND key. The measure I am using is non addable. i.e. the sum of the ITEMS does not equal the BRAND. The pivot is set up with ITEMS nested under BRANDS in the rows and the Measure in the column.
Excel assumes that I want to summarize ITEM to a BRAND level by applying SUM, MAX, MIN, AVG, etc. I would like to return the actual values from the appropriate ITEM or BRAND level table and not apply any calculations to the values. Is this possible?
If what you are effectively trying to do is produce a different result for the Brand rows (e.g. blank()) then the answer is to write a further measure that does a logic check to determine whether or not the row in question is an ITEM or a BRAND.
= IF (HASONEVALUE(table1[Item]), [Measure], Blank() )
Bear in mind that this will work for your current pivot but may not be adaptable to all pivots.
This assumes that you have explicitly created a measure called [Measure] and you are not just dragging the numeric column into the values box. If not you can create the initial [Measure] something like this:
= Sum(table1[Value])
Where Value is the column you want to use in the measure. Although you have used a sum, if it relates to a single item which has a single row in the table it will give the desired result.
I'm trying to do what I thought was a relatively simple calculation between 2 tables I have in the new PowerPivot add-on for Excel 2010.
My 2 tables loaded at setup as follows:
Table 1:
FooID, BarID, Name
Table 2:
BarID, Date
There is a 1 to many relationship between Table 1 and 2.
I want to add a calculated column to Table 1 that just does a sum of all the rows in Table 2.
I've tried this with no luck. The calculation results in null in every column. Excel isn't reporting an error, so it's not that the calculation is invalid, it's just doing somethign I"m not understanding.
=CALCULATE(COUNTROWS(Table2), Filter(Table2, Table2[BARID] = Table1[BARID]))
I also tried something simpler that I thought would also work:
=COUNTROWS(RELATEDTABLE(Table2))
However that also results in null.
I have made sure that table 1 and table 2 have a relationship on BARID.
=COUNTROWS(RELATEDTABLE(Table2)) is the correct formula if there is an existing relationship.
Might it be that there simply are no matching keys?
You can try that by using your first formula and matching an explicit value eg.:
=CALCULATE(COUNTROWS(Table2), Filter(Table2, Table2[BARID] = "SomeBARIDFromTable2"))
The above formula works on tables regardless of wheter a relationship is defined.
HTH,
Hrvoje