I have 2 data source, each has its own dimensions and fact table.
Both data sources have a dimension called "Country"
Dimension 1 for Data Source 1
Country | Country Order
Australia | 1
Singapore | 2
Indonesia | 3
..
Dimension 2 for Data Source 2
Country | Country Order
AUSTRALIA | 1
SINGAPORE | 2
INDONESIA | 3
..
Data Source 1 Dimension Table 1 has more countries compared to Data Source 2 Dimension Table 2.
I am building a dashboard and i want to use country as a common filter, meaning one filter that can filter 2 different fact table.
I have tried creating a new table that contain one column with all the distinct values and tried to create relationship to both dimension table but it keep promoting me an error - circular dependency.
Any other methods that can work for this?
Thanks!
I find it best to create my dimension tables in PQ. Create a new query named country_dimension that is an append of your two fact tables. Remove all other columns and then remove duplicates. You can then use this in your model and you won't get any circular dependency problems.
Related
I try to get a dynamic index table in Power BI to later be used to sort a stacked area chart. Importantly, I need it to take current filters into account.
The idea is to get something like:
Product | Index
Product 1 | 1
Product 3 | 2
Product 4 | 3
Product 2 | 4
I can count product with filters a measure:
sum2 = COUNTX(table_name, [Product])
But unfortunately I can't sort Product column by a measure.
All examples I found have the names of the categories entered manually which is not what I'm looking for. Moreover, the filtering part is important to me.
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-
Assume I have the following tables:
Table 1:
Prj_id, name
1 , prj1
2 , prj2
3 , prj3
Table 2
prj_id, cost, year
1 ,100 ,1999
1 ,200 ,2000
1 ,300 ,3000
2 ,150 ,1998
Table 3
Prj_id, manager
1 , xxx
1 , yyy
2 , xxx
3 , zzz
Now my question is:
Shall I connect all tables together in the model (relation tab) of BI, if I have all the attributes as filters on the page
i.e.
Table 1 to 2 ->Both direction
Table 1 to 3 ->Both direction
Table 2 to 3 ->Both direction
or shall I need to only join tables as follows:
Table 1 to 2->Both direction
Table 1 to 3->Both direction
That highly depends on what your final goal is.
However I would create a relationship between this tables. As I looks, these data coming from a database with a good structure, so why joining every together again.
I am using a Matrix in PowerBI to show the Sales Manager and Sales Reps down the rows, and the different ship method and source of the order across the columns and a count of unique orders in the values.
Below shows the table structure I have, and I want to switch between "Show Values As": the original values I calculate with my measure (count of unique orders) and % of Row Total.
Currently, my only solution is to create a second table showing the different values, but I think that's a cheap solution. I've seen solutions with helper tables but since my values are a measure I cannot invoke them in other measures, and as the sources or ship methods are filtered I want the % of row total to reflect the filter as well so using a countx formula won't account for that (if I housed it in a formula).
I'm still somewhat new to the software so please bear that in mind.
Source 1 | Source 2 | Source 3
| Next Day; Ground; 2 Day | Next Day; Ground; 2 Day | Next Day; Ground; 2 Day
+Manager 1|
Rep 1 |
Rep 2 |
+Manager 2|
Rep 1 |
Rep 2 |
Looks like the best solution for you is to create bookmarks. You can create two tables, one showing the values and the other showing the %. Position the tables such that, one table is exactly on top of the other. Then create two bookmarks, one showing Table1 and the other showing Table2 (while hiding the other table using the "Selection Pane"). You can then use the bookmarks in a button action to toggle between Value and % views. The following link should give you further details on bookmarks:
https://learn.microsoft.com/en-us/power-bi/desktop-bookmarks
You can also do this by creating a measure which switches between values and %, but the formatting is going to be a pain point. I think bookmarks is your best bet.
You can create a parameter table (with no relationships to other tables in your model) to use as a slicer and a measure that switches between the two calculations based on a slicer selection.
Let's suppose you have measures [OrderCount] and [OrderCount%Total]. Then create a new table to use as a parameter ParamMeasure with a single column
Measure
-------
Count
%Total
You can now put ParamMeasure[Measure] as a slicer on your report and substitute the following measure instead of the existing ones.
OrderSwitch =
IF (
SELECTEDVALUE ( ParamMeasure[Measure] ) = "Count",
[OrderCount],
[Order%Total]
)
This way you don't need to create multiple visuals and bookmarks.
I have a table that contains multiple columns with their named having either the suffix _EXPECTED or _ACTUAL. For example, I'm looking at my sold items from my SoldItems Table and I have the following columns: APPLES_EXPECTED, BANANAS_EXPECTED, KIWIS_EXPECTED, APPLES_ACTUAL, BANANAS_ACTUAL, KIWIS_ACTUAL (The Identifier of the table is the date, so we have results per date). I want to show that data in a table form, something like this (for a selected date in filters:
+------------+----------+--------+
| Sold items | Expected | Actual |
+------------+----------+--------+
| Apples | 10 | 15 |
| Bananas | 8 | 5 |
| Kiwis | 2 | 1 |
+------------+----------+--------+
How can I manage something like this in Power BI ? I tried playing with the matrix/table visualization, however, I can't figure out a way to merge all the expected and actual columns together.
It looks like the easiest option for you would be to mould the data a bit differently using Power query. You can UNPIVOT your data so that all the expected and actual values become rows instead of columns. For example take the following sample:
Date Apples_Expected Apples_Actual
1/1/2019 1 2
Once you unpivot this it will become:
Date Fruit Count
1/1/2019 Apples_Expected 1
1/1/2019 Apples_Actual 2
Once you unpivot, it should be fairly straightforward to get the view you are looking for. The following link should walk you through the steps to unpivot:
https://support.office.com/en-us/article/unpivot-columns-power-query-0f7bad4b-9ea1-49c1-9d95-f588221c7098
Hope this helps.