I'd like to find the reactivation date after someone had last been inactive for 365 days.
There are two tables:
A Login Table with non-distinct users and their multiple login dates.
A User Table with distinct users and their last login dates. I would also like this Reactivation Date to be placed here.
I used the following Dax formula to get the "last login date"
Last Login Date = MAXX(RELATEDTABLE('Login Table'), 'Login Table'[Login Date])
Any help would be greatly appreciated.
One way to solve this is by using multiple measures and columns.
For your Login Table, add a new calculated column with the following definition:
Previous Login = CALCULATE(MAX(LoginTable[Login]), FILTER(LoginTable, LoginTable[User] = EARLIER(LoginTable[User]) && LoginTable[Login] < EARLIER(LoginTable[Login])))
This will create a new calculated column in your Login Table which adds the date of the previous login to your table. (My Login Date column is called Login, therefore you might need to change this)
Now, simply calculate the DAY difference between the login date and the previous login date:
Day Difference = DATEDIFF(LoginTable[Previous Login], LoginTable[Login], DAY)
Using a simple IF statement, you can now add a new calculated column returning 1 if this login is a reactivation or not:
Is Reactivated = IF(DATEDIFF(LoginTable[Previous Login],LoginTable[Login], DAY) > 360, 1, 0)
To make things easier, also create a calculated column that returns the login date, if this is a reactivation:
Reactivate = IF(LoginTable[Is Reactivated] == 1, LoginTable[Login], BLANK())
Now you simply have to create a calculated table which groups by user and gets the max login date and max reactivated date like this:
Table = GROUPBY(LoginTable, LoginTable[User], "Last Login", MAXX(CURRENTGROUP(), LoginTable[Login]), "Last Reactivation", MAXX(CURRENTGROUP(), LoginTable[Reactivate]))
A lot of steps could be put into one steps but this way, it is simpler to understand and troubleshoot.
Hope this helps!
Related
My co-worker has run into an issue finding the amount of days between 2 different entries on a database.
In this database , there can be multiple entires with the same RegNumber , however sometimes the entries are on separate dates.
We would need to fetch the first date (TxrDate) for each RegNr and add it to the "FirstInvDate" column on each line.
Please see the below sample data:
And the below is what he has tried:
Does anyone know if there is an easier way to do this or a specific formula to follow ?
To create a new table use:
FistInvDate =
var __currRegNumber = 'Table'[RegNumber]
return
calculate( min( table[yourDate]), filter(ALL('table'), __currRegNumber = 'Table'[RegNumber]))
I have a Power Bi dashboard tracking several metrics since the beginning of last month . Some of the comparisons I make are MTD vs Last MTD count of metrics like Total users, No of posts and connections made.
MTD(June) and LMTD(May) were working well last month(June) but when we moved to a new month(july) the numbers are off.
Here's my measure
MTD_Users = CALCULATE(COUNTROWS('reporting profiles'), FILTER('reporting profile', MONTH('reporting profile'[date_created])=MONTH(TODAY())))
LMTD_USERS = CALCULATE(COUNTROWS('reporting profiles'), FILTER('reporting profile', MONTH('reporting profile'[date_created])=MONTH(TODAY())-1))
Since July 2nd these measures are not displaying correct figures for MTD(July 1st) and LMTD(June 1st)
Any advice/assistance will be highly appreciated
You need to ride off contex filter and that mean we must use function ALL or REMOVEFILTERS;
https://dax.guide/removefilters/
https://dax.guide/all/
LMTD_USERS = CALCULATE(COUNTROWS('reporting profiles'), FILTER(ALL('reporting profile'[date_created])), MONTH('reporting profile'[date_created])=MONTH(TODAY())-1))
I am trying to build a page where it returns table for the logged in user. And then you can use the filter to look at other users records .
User = USERPRINCIPALNAME()
I am having problems filtering the table for the logged in user . Without using row level security with data model changes like below . Is there a way for the Power BI table to return data just for the logged in user ? No SSAS involved.
https://medium.com/#barrasa8/dynamic-data-masking-in-powerbi-based-on-rls-927eb6a34e5d**strong text**
The data model is a FACT table linked to a USER dimension. In the User Dimension , there is an email address which is what the USERPRINCIPALNAME() resolves to.
I thought about a DAX summary table with summarise and may try that later . Then 2 buttons on the page , one to show current logged in user and the other button just gives you details about all other users data and work with all the filters on the page .
So basic want is
Logged In User : X
Table - Col 1 , 2 ,3 .... ( Filtered for User x only by default )
Then I would like a way for the logged in user then to see others user data easily.
Unfortunately there is no way to use USERNAME() or USERPRINCIPALNAME() in DAX measures.
What you're left with is using row level security but that would mean it'll not be possible to show the data of other users.
The best alternative I can think of is to load the data twice. Then set Row Level Security on one table, display that one as "Your data", don't use RLS on the second table and display that as "Other people's data". Put them side by side for easy comparison.
I just wrote a blog post about a similar challenge on how to make sure you can still filter both tables: https://www.linkedin.com/pulse/calculating-totals-row-level-security-using-powerbi-van-der-pasch
I am working on a Viewership table which tells which customer watches which asset. Based on the asset filter, I need to display the customers who watched the show & customers who didn't watched the show. below is my example table
If the asset_id selected as 1 in the slicer, the desired output will be as below
I have tried creating a cross-join table with asset_id and customer_id , but that approach taking much time with large data. Request the experts here to suggest the best optimal solution to achieve this.
First, create a new table "Asset":
This table contains unique assets, and we will use it to create a slicer that affects DAX measure but does not affect the visual (table). To achieve that, the Asset table must be disconnected from the Viewership table (no relationships).
In your viewership table, I just renamed "asset" to "asset_id", to be consistent:
Next, create a measure:
Status =
VAR Selected_Asset = SELECTEDVALUE(Asset[asset_id])
VAR Customer_Asset = SELECTEDVALUE(Viewership[asset_id])
RETURN
IF(Customer_Asset = Selected_Asset, "Watched", "Not Watched")
Result:
Slicer here is created from the "Asset" table, and table is a table visual with customer_id and asset_id from the Viewership table (set them as "don't summarize" values). I turned off "total", assuming you don't need it.
This design requires to set Asset slicer to "single selection" mode, to make sure that you are only getting one value from it. If you want the model to work with multi-select slicer, change DAX measure as follows:
Multi Status =
VAR Selected_Assets = ALLSELECTED(Asset[asset_id])
VAR Customer_Asset = SELECTEDVALUE(Viewership[asset_id])
RETURN
IF(Customer_Asset IN Selected_Assets, "Watched", "Not Watched")
Result:
Edit:
To make it work at the customer level:
Customer Status =
VAR Selected_Assets = ALLSELECTED(Asset[asset_id])
VAR Customer_Assets = VALUES(Viewership[asset_id])
VAR Assets_Watched = COUNTROWS(INTERSECT(Customer_Assets, Selected_Assets))
RETURN
IF(Assets_Watched > 0, "Watched", "Not Watched")
Result:
Explanation: store selected assets in a table variable. Then, store assets visible per customer in another table variable. Find an intersect of the two tables (what they have in common), and count intersect rows. If none - not watched, otherwise watched. If you want, you can actually display the number of movies watched (just return "Assets_Watched" instead of IF statement).
I'm trying to obtain the MAX of a particular column in a Power BI Report and place this as a new Measure within each ROW of the same dataset. Please see the example below.
Is this possible in DAX and via DirectQuery/LiveConnection? The report is pointing to a tabular model but due to outside factors the measure must be created in the report.
Thanks
You can accomplish this a few ways. Essentially, you need override the filter context so that the MAX function isn't just running over whatever slice you're showing in the visual. Using CALCULATE or the iterator function MAXX, set the wrap the table in the ALL() function to override the context and calculate max over all rows.
= CALCULATE(MAX([Calendar`Year]), ALL('Smithfield_Fiscal_Calendar'))
or
= MAXX(ALL('Smithfield_Fiscal_Calendar'), [Calendar`Year])
To get the breakout by date, you'll need to include a Date table in your model. PowerBI makes this possible with a few different DAX options. As an example, go to your Model tab, click 'New Table' and put in the following expression:
MyCalendar = CALENDAR(DATE(2019,1,1), DATE (2019,1,10))
This is a little trivial -- you'd want to use a useful range of dates but this one matches your example above. Next, add a column to [MyCalendar]
CalendarMonthYear = month([date]) & "-" & year([date])
Go to your budget table and add a similar field
BudgetMonthYear = month([date]) & "-" & year([date])
Go into your Model view and create a relationship between CalendarMonthYear and BudgetMonthYear. This will associate every date in the date table with the particular budget row from your budget table.
Hope it helps.