I am making a demo IoT device monitoring dashboard. I can't understand which function should I use to check if devices are online on a certain date.
This is my sample report table1 from which I separate the Date to another column.
A device can report multiple times on a single day on the server. If it doesn't hit the server no report will generate.
Then I created a lookup table2 that contains all the device ID.
Now I created another table3 and generate a calendar date which I link with the table1 date.
Now In the column, I put my device ID and want to fill the column as true or false if the device reported on a particular date. I am unable to do it.
I used IF ( ISBLANK ( COUNTROWS ( RELATEDTABLE this function it didn't work
I want to create something like this. Which will look up the ID and date to report like it.
It will be a great help if anyone can share any idea.
The screen shots below give you everything you need.
There is a Device Connections table of the devices and when they connected. I have converted the DateTime to a date so that it can be joined to the Dates table, just a list of dates you want to check connections for. I have a relationship that connect the dates of the two tables.
Note: You could also preserve the time at which the device was seen if
needed. It is probably best to have it as a separate column. I have
discarded the time for simplicity.
I have created a single measure:
HasBeenSeen = IF (CALCULATE(COUNTROWS(DeviceConnections)) > 0, TRUE, FALSE)
Which gives a TRUE/FALSE if the device has been seen or not for whatever context exists (e.g. a given date). You could also just count the number of occurrences and display them.
Then I created a matrix visual with the Date from the dates table on the rows, Device ID on the columns and HasBeenSeen as the values to give the desired result.
As I said in the comments to you question, if you accept BLANK in cells where you shown FALSE, you can apply this simple steps. Only Table1 is sufficient for this and need no other table or joining.
Create a very simple Measure like below.
true_false = "True"
Now add a Metrics and configure it as below-
And here is the final output-
Related
I've been trying to figure this for several hours now.
In my SQL table I have a full timestamp column, with date and time of the action, e.g. last time a user was logged in.
Say I have two users who logged in today so far, in different hours. I want to see "2" log ins for today's Date, instead of seeing them broken down further into exact timestamps.
See screenshot for example
What's the easiest way to do this?
EDIT:
Seems like the whole issues stems from my desire to use "Direct Query" method to load the data.
If I'm just importing the whole table (as users_table (2)), Then yes, I can create a new column with this syntax:
Column = 'users_view (2)'[last_active].[Date]
And plot the graph that I Want.
However, I am unable to create this column on direct query mode. Trying to create this column leads to an error:
Column reference to 'last_active' in table 'users_view' cannot be used
with a variation 'Date' because it does not have any.
If such basic functinoally is not possible, then what's the merit of Power BI? my use case is to create a REAL time dashboard.
Seems like if I want to have anything in real time, it means I can't build even the most basic graph, and vice-versa.
So either I'm missing something, or Power BI is worthless for real time reporting.
You need to follow these steps:
In your fact table, create a new column that corresponds to the date of the timestamp (this will be a grouping dimension column for your timestamps)
Add a measure that counts rows of your table
In a new chart, e.g. line chart, bar chart, whatever - use the date column as X-axis information, and the row count measure as your Y-axis information
Edit: Since it is now apparent you insist on using Direct Query for this - it would appear your data is not in the correct format to support what you want to do. The solution would be to provide Power BI with the correct format for the analysis you want to do. Like adding a column in your SQL database table.
A very costly way of calculating "something" useful would be to do a cumulative count based on timestamp that resets daily. This will look messy but for a site with a lot of activity it will be able to plot something. But it will be slow - since obviously we are far, far away from what would constitute a "sensible" use-case for Power BI using Direct Query.
Cumulative Daily Logins =
VAR _max_time = MAX ( users_table[last_active] )
VAR _date = DATEVALUE ( _max_time )
RETURN
COUNTROWS (
FILTER (
ALL ( users_table ) ,
users_table[last_active] <= _max_time
&& DATEVALUE ( users_table[last_active] ) = _date
)
)
I have been trying to find an answer to my problem but to no avail, so hoping someone is able to provide some ideas / advice on if this is possible and if so, how to go about it? I've tried various things and none have worked.
We create views within SQL and then connect to them using 'Import' from the Data Connectivity Mode when connecting to the SQL Server from within Power BI. Within the view, we use tables that contain a 'Valid From Date' and 'Valid To Date' for each row of data, so when a change occurs a row is closed off and a new row is created. This is so we can limit the rows of data within the table.
When trying to create a report within Power BI, we need to make it that the end user can use a data drop down list to select a date and the data within the whole of the report shows any rows that the selected date falls on or between the Valid From and Valid To dates. We use Cards, Tables, Matrix and Charts within our reports, so all would need to reflect the date selected by the user.
I have tried various methods that I could think to get it to work but each have had limitations where it either doesn't work or only partly works.
Any help / advice on this would be really appreciated.
Many Thanks
Jon
THis is an example of what I think i need to do
I would like to ask some modeling advise I cannot solve myself:
I am using Power BI to visualize the time machinery is out of order.
The source is a register of equipment not functioning, with a start date and end date (note that there is no end date if the machine is not fixed yet).
I would like to show the time (hours, percentage, etc) that the machinery is out of order, filter for a specific period /date (e.g. month).
So I have 2 date columns: ‘’Start out of order’’ and ‘’Back in order’’
I do have a date table, which I usually would connect to all the date variables. However, since I am working with a Start and End date. This does not give the result I am looking for.
Any help is very much appreciated!
Kind regards,
Link to my Power BI FILE:
https://wetransfer.com/downloads/83ca3850392967d0d42a5cc71f4352c420200213160932/eb7353
Stijn
I am not sure how you would like to visualise your data, but this is what I managed to do:
create a daysdiff column with
Daysbetween = IF(ISBLANK(TF_Eventos
[End out of order]);DATEDIFF(TF_Eventos[Start out of
order];TF_Eventos[TODAY];HOUR);DATEDIFF(TF_Eventos
[Start out of order];TF_Eventos[End out of order];HOUR))
This creates your column to check difference between Dates.
Then create a separate column with your Date. In this case I copied the Start out of order date, since I thought you might wanted to be able to filter for the start dates. Then simply create a relationship between your newly created Date column and your start out of order date.
Doing so lets you create a visual with the daysbetween (in this case portrayed in hours) and your start dates. Now just simply add a slicer and you can filter on date.
Hope this helps
i'm trying the new Power BI (Desktop) to create a barchart that shows me the duration in days for the delivery of an order.
I have 2 files. 1 with the delivery data (date, barcode) and another file with the deliverystatusses (date, barcode).
I Created a relation in the powerBI relations tab on the left side to create a relation on barcode. 1 Delivery to many DeliveryStatusses.
Now I want to add a column/measure to calculate the number of days before a package is delivered. I searched a few blogs but with no succes.
The function DATEDIFF is only recognized in a measure, and measures seem to work on table date, not rowdata. So adding a column using the DATEDIFF function doesn't work.
Adding a column using a formula :
Duration = [DeliveryDate] - Delivery[OrderDate]
results in an error that the right side is a list (It seems the relationship isn't in place)?
What am I doing wrong?
You might try doing this in the Query window instead since I think each barcode has just one delivery date and one delivery status. You could merge the two queries into a single table. Then you wouldn't need to worry about the relationships... If on the other hand you can have multiple lines for each delivery in the delivery status table, then you need to get more fancy. If you're only interested in the last status (as opposed to the history of status) you could again use the Query windows to group the data. If you need the full flexibility, you'd probably need to create a Measure that expresses the logic you want.
The RELATED keyword is used to reference another table. Update your query as follows and it should work.
Like this:
Duration = [DeliveryDate] - RELATED(Delivery[OrderDate])
I am using Visual Studios BIDS to modify an existing OLAP cube.
In SSMS: There is an underlying fact table (FactTableMain) with a very fine grain that contains 10 different measures to track the status of an application (they act almost like a flag). The measures either have the individual's ID value or are NULL.
In SSAS Visual Studio OLAP:
There are 10 measure groups. Each measure group is based on a DSV named query that selects 1 of the FactTableMain measures where MeasureName IS NOT NULL.
A drill action for each measure group with only the PersonName and PersonID columns being returned.
The drills for each measure group:
shows duplicates (as not all fact table columns are return columns for the drill)
Do not return the expected number of rows that the measure count displays
I have tried:
multiple MDX conditions using filter and distinct on the drill through action, but they either make no difference or the action disappears entirely
Create a junk drill dimension that selects the distinct IDs from the FactTableMain and set that as the only return column for the drill through action (made no difference to drill through return rows)
Creating New (Standard) Action as a rowset and dataset, using MDX action expressions
I think I need a New (Standard) Action with an MDX Action expression with these properties:
Target type = Cells
Target object = All cells
Actions Content Type = Rowset
My current MDX query does return results, but only for the first measure's overall total and it is not formatted correctly at all. It does not work if I select a different measure in the client application, rerun the query, and drill again. I have searched and searched, but I am out of ideas and sitting in a black pit of doom. :(
My current MDX query is:
WITH
SET [person] AS
NonEmpty([person].[person].[person])
MEMBER CurrentMeasure AS
[Measures].CurrentMember
SELECT
NonEmpty
(
Filter
(
[Quarter].[Quarter].[Quarter].MEMBERS
,[Quarter].[Quarter].CurrentMember
)
) ON COLUMNS
,(
[person]
,NonEmpty([person].[person ID].[ID])
) ON ROWS
FROM [Applications];
Goal:
I would ultimately like the drill action to be dynamic enough to know the current measure the user is selecting and filtered by the user's dimension selection for rows/columns.
Questions:
Is there a way to filter distinct or non empty rows using a condition for the original drill through action? I know there are drill limitations, but is there something that would workaround the drill's limitations?
How can I create a Standard Rowset action that is dynamically to the user's selections (my goal).
Any ideas?
A URL action type is not an option for our business needs.
EDIT: I removed everything unnecessary from the DSV and am selecting only distinct rows. Each ID can have more than 1 application and an application can have more than 1 area of interest. Now the drills return 1 row per ID, application, and area of interest. We only want the drill to return the distinct IDs, no matter the number of applications or areas of interest. I am not sure where to go from here. Can I filter our the application number and/or areas of interest dimensions in the drill?
I believe that you are going too fast too quick.
The DSV should show the data without duplication in the browser. If it's not, go back to the DSV and check what it is. Maybe create a view (an Indexed view) on top of the fact table, so you can make sure that you query only the data that you want. Also: are you sure that your dimensions are linked correctly? Sometimes duplication appears due to dimensions not being set up correctly with wrong keys for linkage.
In MDX:
If you create a Calculation in the Calculation tab you can do drill in it. Otherwise, you'll have to write the correct MDX query each and every time.
HTH.
See the very last example at:
http://asstoredprocedures.codeplex.com/wikipage?title=Drillthrough&referringTitle=Home
You have to deploy that ASSP assembly to SSAS. It is used to pickup the current context on all attributes during execution of the action. But it will return totals by employee for whatever measure the user launched the action from.
"select {[Measures].CurrentMember} on 0, NON EMPTY [person].[person].[person].Members on 1 from (select (" + ASSP.CurrentCellAttributes([Measures].CurrentMember) + ") on 0 from [Application])"