I have a table which has columns period, value, and entity representing a set of different timeseries. I want to select entity, array_agg(value) to get the time series for each entity. However, to get the order in the array_agg correct the items need to be aggregated in order of period. I don't care what order the final output is in, as long as each array is in the right order. How can I go about this? My first pass was to use an order by period statement, but that refers to the final output rather than the order of aggregation, and errors out anyway because period is not in the group by.
This is actually pretty clearly answered in the documentation here. The correct syntax is array_agg(value ORDER BY period).
Related
am trying to get Previous Sum(of someField) based on a variable value which is an Id.
This is not a table, Im doing a KPI
On Qlik you would do something like:
SUM({<Id={"$(=Max(vVariable),-1))"}>} someField)
But I can not achieve it on Tableau, off course is due to my lack of knowledge, unfortunatelly time is tinking at work and wanted to see if anyone has any input!
Thanks
Assuming you may use a sample input like the Superstore (using sales as metric), this could be what you're looking for:
In red you can see your "variable" which allows you to select a value and in blue you'll find the unique row for the previous value (Order ID sorted).
The first thing you need to to do is creating a parameter based on all the Order ID values:
Then things start to get a bit complicated if you're not familiar with LOD (Level of details) and the order of execution in Tableau, especially for filters.
Assuming that you can get some information on your own (otherwise, feel free to ask), the first thing you nee to to do is to "pre-calculate" the equivalent of a table having a rowe for each Order ID, in which you also have the previous Order ID value.
You can achive this combining Fixed (LOD) and Lookup function, creating this Calculated Field "Lookup Order ID":
LOOKUP( max({ FIXED [Order ID] : MAX([Order ID])}),1)
This is actually just a calculated field that you want to "fix" because you need the filter to act after you have made that previous calculus, and then you shift your data by 1 row backward.
Once you've done that, you just nee to create another calculated field in order to test your parametric value, and it could be something like this "check param":
[Lookup Order ID] = [Order ID param]
Moving this calculated field in the filter section and selecting just "true" values, you'll get that unique rows like in the initial image, showing the previous value (blue) related to the one you select in the parameter drop-down menu (red).
I'm trying to create a Measure in Power BI using DAX that achieves the below.
The data set has four columns, Name, Month, Country and Value. I have duplicates so first I need to dedupe across all four columns, then group by Month and sum up the value. And then, I need to average across the Month to arrive at a single value. How would I achieve this in DAX?
I figured it out. Reply by #OscarLar was very close but nested SUMMARIZE causes problems because it cannot aggregate values calculated dynamically within the query itself (https://www.sqlbi.com/articles/nested-grouping-using-groupby-vs-summarize/).
I kept the inner SUMMARIZE from #OscarLar's answer changed the outer SUMMARIZE with a GROUPBY. Here's the code that worked.
AVERAGEX(GROUPBY(SUMMARIZE(Data, Data[Name], Data[Month], Data[Country], Data[Value]), Data[Month], "Month_Value", sumx(CURRENTGROUP(), Data[Value])), [Month_Value])
Not sure I completeley understood the question since you didn't provide example data or some DAX code you've already tried. Please do so next time.
I'm assuming parts of this can not (for reasons) be done using power query so that you have to use DAX. Then I think this will do what you described.
Create a temporary data table called Data_reduced in which duplicate rows have been removed.
Data_reduced =
SUMMARIZE(
'Data';
[Name];
[Month];
[Country];
[Value]
)
Then create the averaging measure like this
AveragePerMonth =
AVERAGEX(
SUMMARIZE(
'Data_reduced';
'Data_reduced'[Month];
"Sum_month"; SUM('Data_reduced'[Value])
);
[Sum_month]
)
Where Data is the name of the table.
My end goal is to have a box change color when the last 3 records input into a field (based on the time of input) in FileMaker achieve a certain criteria (ex. variance < 2). I would like to know how to make this happen, or how a calculation/script can be written to only look at the last 3 records.
There are several ways you could approach this. A simple one would be to use a script to:
Show all records in the given table;
Unsort them (assuming they were entered in chronological order; otherwise sort them by creation timestamp);
Omit all records except the last three;
Get the value of a summary field defined as Standard Deviation of your value field;
Set a global variable/field to the square of the returned value.
Then use the global variable/field to conditionally format your "box".
If you don't want to use a script, you will have to define a relationship in order to get the last three values in the table, regardless of the current found set and/or sort order. Or you may use the ExecuteSQL() function for this.
I have a fairly simple problem, but I don't think I understand SSRS and scopes well enough to figure this out.
What I have is a case (one entity) that can have multiple appointments (another entity). Appointments have a date and a status. I want to display the next soonest appointment date and its status. To display the date I'm using
=Min(IIf(Fields!appt_start.Value > Globals!ExecutionTime, Fields!appt_start.Value, Nothing))
The idea is that I first pick only those appointments that occur in the future, and then grab the soonest one. It seems to work great.
Now, I need to apply the same filtering logic, but display the appointment status rather than the date. From my understanding, this is where scopes would come in. I could limit my scope to just the appointment I want, and then show its status. But I don't understand how to do that.
One way to go about this particular problem would be to use a filter in combination with the First function. Add a filter to the table to only show dates greater than the current day. Use a table row with no grouping and use expressions like this:
=First(Fields!appt_start.Value)
=First(Fields!appt_status.Value)
Another option would be to add calculated fields to the dataset to only populate values such as status when the date is greater than the current day. This is useful if you need to show more information later on.
Edit: Yes, you would want to sort the data by date for the First function to work right. You can actually filter at 3 different levels in SSRS. Right-click on your dataset and go to Dataset Properties. Click on Filters. Click Add. Fill in the expression, operator, and value to meet your need. You can also do this in the group properties or the table properties.
I'm trying to build a report which basically reports the number of closed incidents that a property has done in a given month then divide it by the number of beds in that property.
The number of incidents is calculated from the incidents table based on the month and the property then the number of rooms is obviously static per property.
The tables that I have a:
Incident: No_ which is the ID, PropertyID, Created_DateTime, Closed_DateTime, Status.
Property: ID, Name, No_of_Rooms
I tried this code in a calculated field but it errors saying that you can't use an aggregated column, which I thought it might:
=Sum(Fields!No_.Value, "Incidents")/Fields!No_of_Rooms.Value
I'm sure this will be simple but I can't find what to search to find the answer.
If this on the 'Details' level of the report and is commonly the lowest level. You may want this instead:
=(Fields!No_.Value / Fields!No_of_Rooms.Value)
If it is on a parent group I am guessing you just are listing a single instance and it wants an aggregate. In that case:
= (Sum(fields!No_.Value) / Sum(Fields!No_of_Rooms.Value))
This would perform aggregation on an aggregation. You do not need to do this (Fields!(thing).Value, "DataSet") if everything is in the same Dataset, if not then you do. Generally if are in the table or object that your dataset is referencing it knows that part implicitly without being listed.
Your formula will work but only if placed in the tablix but for performance this should be calculated in the query if possible.