I am wondering is it possible to filter dim table based on fact table?
What I mean by that is that I have a dim table with records that are not all avalible in fact table. I load following dummy data to Power BI and create relationship by segment.
date
customer
segment
value
01.01.2021
1
A
10
02.01.2021
1
A
10
03.01.2021
1
A
10
04.01.2021
1
A
10
01.01.2021
2
B
20
02.01.2021
2
B
30
03.01.2021
2
B
40
dict table:
segment
segment_desc
A
Name of A
B
Name of B
C
Name of D
D
Name of D
Now I create one table with all column from facts and slicer with dim table.
As we see dim slicer shows all records from dim even if there are no coresponding records in fact table. I recall that for instance in QlikView we would only see records that are also in fact table. Is it possible in Power BI?
Enabling bi directional relationship doesn't do the trick - table is still not filtering the Slicer. I know that I can do inner join with fact table, but maybe there is a way to avoid this cumbersome solution.
This is one of the most annoying features of Power BI if you ask me. But there is a solution!
You need to write a new measure.
Dim Slicer Filter = INT( NOT ISEMPTY( 'fact table name' ) )
Next, make sure the dim slicer is selected, then drag and drop the new measure to the Filter pane. Drag the measure to one of the Filters on this visual boxes. In the options, make sure "is" is selected from the Show items when the value dropdown and then type in 1 in the input box below. Should be good to go after hitting "Apply filter."
If you need more information on this functionality. SQLBI has an article on this very subject here.
Related
I am learning PowerBI as i go along and have been able to solve most issues faced by a quick google. Unfortunately this problem has baffled me.
We have thousands of lines of data which include a "Home Country" column & "Away Country" column.
What we need our slicer to do is to is to pick up for example Australia in both of these columns and display the results.
I currently have a table created using the below:
slicercountrytable = distinct(
Union(
Values('All Data'[Home Country]),
Values('All Data'[Away Country])))'''
and then a measure:
Measure =
if(
Min('All Data'[Home Country]) in values (slicercountrytable[Country])
|| Min('All Data'[Away Country]) in values (slicercountrytable[Country]),
1,
Blank()
)
And have also tried the below measure:
Measure 3 = VAR
Searchvalue=search(SELECTEDVALUE(slicercountrytable[Country]),SELECTEDVALUE('All Data'[Combined Country]),,Blank())
Return
If(Searchvalue > 0,"Found")
I need the slicer to control the entire sheet however the above are doing nothing.
Thanks
In that case, instead of building some complicated DAX I suggest to work the model.
Let's say your current table looks like that:
id
home country
away country
1
A
B
2
B
C
You may want to deal with that in another table by unpivoting home_country and away_country in PowerQuery.
In order to have a country table like that:
id
country
attribute
1
A
home
1
B
away
2
B
home
2
C
away
Then you link this new table to your existing one on id and filter/slice in it.
I reproduced your example and feel that it is already showing the desired behavior. I think the problem you might be running into is that you will now need to add your 'measure' filter to each and every visual individually. It cannot be added to 'Page' or 'All Pages' filter areas. This is because of the way a measure's calculation varies across context and cannot be avoided.
DAX
Table 2 = distinct(union(all('Table'[Away]), all('Table'[Home])))
Measure =
if(
MAX('Table'[Away]) in VALUES('Table 2'[SelectedCountries])
|| MAX('Table'[Home]) in VALUES('Table 2'[SelectedCountries]) ,
1,
blank()
)
I have 2 date slicers and a measurement which is [Profit], I would like to return the difference in Profit given the date selections. Please see below for detail.
Date Slicer 1: 3/7/2021-3/13/2021
Date Slicer 2: 3/14/2021-3/20/2021
Profit given Date Slicer 1: 10
Profit given Date Slicer 2: 15
Value I am trying to get = 5 (15-10)
If the two slicers come from the same Date column, both periods do not intersect each other and you get a filter without dates.
Possibly there are better solutions but one of them would be to use a Harvester Filter (Creating an additional table containing a copy of the date column unrelated to the model, aka Disconnected Tables)
Before moving on to the next part you can verify that the filter contains the same dates but since it is a disconnected table, it does not filter the model, yet
For the [Profit given Date Slicer 1] you can use the original measure
For the [Profit given Date Slicer 2] you must change the filter to:
DATESBETWEEN(
'Dates'[Date],
MIN(HarvestingDates[Date]),
MAX(HarvestingDates[Date])
)
Hopefully a quick explanation of what I am hoping to accomplish followed by the approach we've been working on for over a year.
Desired Result
I have a table of SCD values with two columns, SCD_Valid_From and SCD_Valid_To. Is there a way to join a date table in my model (or simply use a slicer without a join) in order to be able to choose a specific date that is in between the two SCD columns and have that row of data returned?
Original Table
ID | SCD_Valid_From | SCR_Valid_To | Cost
1 2020-08-01 2020-08-03 5.00
Slicer date chosen is 2020-08-02. I would like this ID=1 record to be returned.
What We've Attempted So Far
We had a consultant come in and help us get Power BI launched last year. His solution was to create an expansion table that would contain a row for every ID/Date combination.
Expanded Original Table
ID | SCD_Valid_Date | Cost
1 2020-08-01 5.00
1 2020-08-02 5.00
1 2020-08-03 5.00
This was happening originally on the Power BI side, and we would use incremental refresh to control how much of this table was getting pushed each day. Long story short, this was extremely inefficient and made the refresh too slow to be effective - for 5 years' worth of data, we would need over 2000 rows per ID just to be able to select a dimensional record.
Is there a way to use a slicer where Power BI can select the records where that selected date falls between dates in two columns of a table?
Let me explain a workaround and I hope this will help you to solve your issue. Let me guess you have below 2 tables-
"Dates" table with column "Date" from where you are generating the date slicer.
"your_main_table" with with column "scd_valid_from" and "scd_valid_to".
Step-1: If you do not have relation between table "Dates" and "your_main_table", this is fine as other wise you have to create a new table like "Dates2". For this work around, you can not have relation between those tables.
In case you have already relation established between those tables, create a new custom table with this below code-
Dates2 =
SELECTCOLUMNS(
Dates,
"Date", Dates[Date]
)
From here, I will consider "Dates2" as source of your Date slicer. But if you have "Date" table with no relation with table "your_main_table", just consider "Dates" in place of "Dates2" in below measures creation. Now, Create these following 4 measures in your table "your_main_table"
1.
date_from_current_row = max(join_using_date_range[SCD_Valid_From])
2.
date_to_current_row = max(join_using_date_range[SCD_Valid_to])
3.
date_selected_in_slicer = SELECTEDVALUE(Dates2[Date])
4.
show_hide_row =
if(
[date_selected_in_slicer] >= [date_from_current_row]
&& [date_selected_in_slicer] <= [date_to_current_row]
,
1,
0
)
Now you have all instruments ready for play. Create your visual using columns from the table "your_main_table"
Final Step: Now just add a visual level filter with the measure "show_hide_row" and set value will show only when "show_hide_row = 1".
The final output will be something like below image-
I have two tables:
Table A, which indicates where my truck is for each day,
Date Truck Region
5/20/2018 1014 NY
5/21/2018 1014 NJ
and Table B (which contains when my truck inspection was done for each day). Sometimes there may be more than one inspection record, but I only need the last one by truck by day. As you can see, I added a rank column. Truck 1014 has two records for 5/20/2018, but the last one gets ranked as 1 (I will filter the table by 1).
Date Time Truck Rank
5/20/2018 5/20/18 9:00 AM 1014 2
5/20/2018 5/20/18 2:00 PM 1014 1
5/21/2018 5/21/18 2:50 PM 1014 1
I want to merge those two tables together. The reason I ask how to do it in the query editor is that, in the relationship view, you cannot create a relationship on two columns. For example, in my example, I want to join data by date and by truck number, which I cannot. What is the right direction for this situation?
In the query editor, you can use the Merge Queries button under the Home tab.
(You'll need to hold down the Ctrl key to select multiple columns.)
Once you've merged, just expand the columns from Table B that you want to bring over (e.g. Time and Rank). If you did not filter Rank = 1 before merging, you can include it when expanding and filter afterward.
Note that you can also use the LOOKUPVALUE DAX function outside of the query editor. As a new column on Table A:
Time = LOOKUPVALUE('Table B'[Time],
'Table B'[Date], [Date],
'Table B'[Truck], [Truck],
'Table B'[Rank], 1)
I'm new to Power BI Desktop, coming from Excel.
In the query editor, I would like to create a new column in a table with the difference in time/date from one record to the next, by a separate grouping column (device). An example explains it better. Here's the starting point for the data, with one column for the device id, and another for the Date of the event.
Device Date
A 5/1/2016
B 5/1/2016
C 5/2/2016
A 5/4/2016
B 5/5/2016
A 5/10/2016
B 5/9/2016
C 5/12/2016
I would like to group by Device and Sort by Date, then calculate the differences, to make something like this:
Device Date Lag
A 5/1/2016 (null)
A 5/4/2016 3
A 5/10/2016 6
B 5/1/2016 (null)
B 5/5/2016 4
B 5/9/2016 4
C 5/2/2016 (null)
C 5/12/2016 10
What's the best way to do this in Power BI query editor?
Thanks for the help!
Here's a solution. But it does not involve Query editing.
we're gonna create a calculated column and do it the dax way.
1) In your Fields pane, right click on the table and Select "New
Column"
2) In the formula bar, type in the formula below. replace TableName with your table name
LagColumn = DATEDIFF(TableName[Date]
, CALCULATE(MAX(TableName[Date]),
FILTER(TableName,
TableName[Device] = EARLIER(TableName[Device]) &&
TableName[Date] < EARLIER(TableName[Date])
)
)
, DAY
)
3) Select Device, Date and the LagColumn in your report now. Choose "Table" option from the visualization panel.
Explanation of the formula -
1) The new lagColumn is the DATEDIFF in days of two entities.
2) First argument is the DATE field of the current row
3) Second argument is the maximum date value of all the dates that are less than the current row's date and that belongs to the same device as the current row. (EARLIER helps you retrieve the value of the current row in the previous context.)
read more here
1) EARLIER - https://msdn.microsoft.com/en-us/library/ee634551.aspx
2) Row Context and Filter Context - https://www.sqlbi.com/articles/row-context-and-filter-context-in-dax/
Screenshot of a similar use-case:
Here,
AccountAlternateKey corresponds to Date
ParentAccountAlternateKey
corresponds to Device, and
LagColumn is LagColumn
Note - For every group, lag of the first column is the first column itself. If you want it to be NULL, you can check if ISBLANK(CALCULATE....) is true and then make it null. that just adds a little bit complexity to the formula..
Proposing DAX solution since i don't think there is a query way to deal with this, AFAIK.
Let me know if you have any more questions..