I have the following data:
Basically a normalized time series by country.
My problem is, not all countries data ends on the same day.
I am trying to obtain column "DateCount", which would give me --for the date in that row -- the rowcount for ALL countries.
So for Jan18-to-Mar18 I would have 2 entries at each date (Italy and USA), but for April I would have only one (USA).
Any input on how to do this?
Many thanks!
DAX formula:
DateCount =
CALCULATE (
DISTINCTCOUNT ( Table[Country] ),
ALL ( Table[Country] ),
VALUES ( Table[Date] )
)
Result:
How it works:
It's a common pattern in DAX: Unfilter/Refilter. We change filters by first unfiltering countries (ALL) so that we can access all of them, then re-filter countries with the list of dates (VALUE supplies dates visible in current context). After desired filter context is established, you just need to count distinct countries.
Related
My company uses a SQL Server database.
Is it possible to use a range of cells as a condition in a SQL query if it equals ANY of those values? Can it even use date ranges on the same rows?
Reference Example:
Data Example:
Output Desired:
Question 1:
Can I reference an entire column?
SELECT ID, sum(units) FROM sales WHERE ID = any ID in Column A
Question 2:
Can I specify just a cell range?
SELECT ID, sum(units) FROM table WHERE ID = any value in A2:A10
Question 3:
Can I add a date range cell reference with the possibility that the same ID may appear more than once but have a different date range (see 747375 in sample) and return results for both ranges separately?
SELECT ID, sum(units) FROM table WHERE ID = any value in A2:A10 AND DATE >= date found in column B that is next to ID in the same row AND DATE <= date found in column C that is next to ID in the same row
You can use between as following
select
r.id,
sum(units) as units
from reference r
join data d
on r.id = d.id
where d.date between r.start and r.end
group by
r.id
Question 1: Can I reference an entire column?
Yes. A default select without a where clause will reference the entire column.
Your example SELECT ID, sum(units) FROM sales WHERE ID = any ID in Column A is not logically sound. From the select, I am presuming that you want the sum of units for each individual ID, not the sum of all the units without regard to the ID. For this, you want to use group by
select ID, sum(units) totalunits
from sales
group by ID
There is no need for a where clause because you want everything.
Question 2: Can I specify just a cell range?
Yes.
And no.
There is no direct concept of "cell range" in SQL (well, maybe top but not really). Data is stored unordered in SQL. In Excel, the cell range "A2:A10" means "whatever values just happen to be in those cells at this point in time". Often this will mean "the 2nd through 10th values entered in time", or "the first through 9th values entered in time" if there is a header row. But then later you can sort the data differently and now there is different data there. In SQL, there is no order in storage. You can specify an order for the output when you select data, but that is manually specified for each select.
However, the related concept is probably rather obvious. "A2:A10" is often going to mean "the first 9 values by date/time", or "the largest/smallest 9 values" etc.
Your example SELECT ID, sum(units) FROM table WHERE ID = any value in A2:A10 needs to change to define what values you expect to be in A2:A10. For example, if A2:A10 represents the first 9 values by date, you would do something like this: (untested)
select ID, sum(units) totalunits
from sales
where ID in (select top(9) ID
from sales
order by date
)
group by ID
This would provide the sum of units for each of the IDs that were amongst the first 9 IDs entered by date (what to do with a tie for 9th I will not go into here).
Question 3: Can I add a date range cell reference with the possibility that the same ID may appear more than once but have a different date range (see 747375 in sample) and return results for both ranges separately?
This one is difficult to understand. And it might be meaningless based on the answer to your 2nd question. However, you can setup a query that chooses the IDs you want, and in that query you can also select the min and max dates. Finally, you can use the information from that query as a subquery to get the information by ID that has the sum of units within the min/max dates and one that is the sum of units outside the min/max dates. This would require some effort and I will not at this time try to figure that out for you.
I have data that includes the below columns:
Date
Total Capital
Total BOED
On Production Date
UWI
I'm trying to create a well count based on the unique UWI for each On Production Date and graph it against the Total BOED/Total Capital with Date as the x-axis.
I've tried unique count by UWI but it then populates ALL rows of that UWI with the same well count total, so when it is summed the numbers are multiplied by the row count.
Plot Xaxis as Date and Y with Total BOED and Well Count.
Add a calculated column to create a row id using the rowid() function. Then, in the calculation you already have, the one that populates all rows of the UWI with the same well count, add the following logic...
if([rowid] = min([rowid]) over [UWI], uniquecount([UWI]) over [Production Date], null)
This will make it so that the count only populates once.
I have Cartons table, which contains two datatime columns - entering warehouse date and exiting warehouse date. For my report i need to calculate table which shows how many cartons are in the warehouse at the end of the each day. My idea was get number of cartons for each date which have entering date lower than current date and exiting date higher than current date. So i need to translate following sql into dax:
SELECT d.date, COUNT(c.Id) AS 'Count of cartons' FROM #dim d
INNER JOIN Inventory.Cartons c on d.date between c.EnteringWarehouseTime and c.ExitingWarehouseTime
GROUP BY d.date
ORDER By d.date
Where dim is table with all dates.
But all joins in dax can be performed only using relations. I can only make cross join of these tables and filter result, but this operation would take to much time. Do i have another options for this?
Actually you can simulate a relationship with dax. However, if I understand correctly your questions and the datamodell, you want to query all cartons that are still in the warehouse at a given time, right? For each day in the Date table you can calculate that how many rows in the Carton table are by filtering it by the currently iterated Day. So this formula calculates:
For each day in the date table - VALUES('Date') -, will calculate how many rows in the Cartons table present used some filtering - COUNTROWS('Cartons') -. And the filtering works like this: On the current value of the Day - think as a foreach in C# - it will check that how many rows are in the Cartons table present where it's Exiting date is higher or equal than the current Date's value in the iteration, and Enter date is lower the the current date, or it is BLANK() - so still in the warehouse.
CALCULATETABLE(
ADDCOLUMNS(
VALUES('Date'),
"Cartons",
CALCULATE(
COUNTROWS('Cartons'),
FILTER(
'Cartons',
'Cartons'[EnteringWarehouseTime] <= 'Date'[Date]
),
FILTER(
'Cartons',
OR('Cartons'[ExitingWarehouseTime] >= 'Date'[Date],ISBLANK('Cartons'[ExitingWarehouseTime])
)
)
)
)
This is very similar to the "Open orders" pattern. Check out daxpatterns.com
If you want to simulate a relationship you can always use the COUNTROWS() > 0 pattern as a filter.
Like if you want to do a SUM(Value) on your main table, but only for those rows that are present in the Referenced table - without relationship:
CALCULATE(
SUM('MainTable'[Value]),
FILTER(
'MainTable',
CALCULATE(
COUNTROWS('ReferencedTable'),
'ReferencedTable'[PK] = 'MainTable'[FK]
) > 0
)
)
I have a couple of tables in PowerPivot:
A Stock table - WKRelStrength whose fields are:
Ticker, Date, StockvsMarket% (values are percentages), RS+- (values can be 0 or 1)
A Calendar Table - Cal with a Date field.
There is a many to one relationship between the tables.
I am trying to aggregate RS+-against each row for dates between 3 months ago to the date for that row - i.e a 3 month to date sum. I have tried numerous calculations but the best I can return is an circular reference error. Here is my formula:
=calculate(sum([RS+-]),DATESINPERIOD(Cal[Date],LASTDATE(Cal[Date]),-3,Month))
Here is the xlsx file.
I couldn't download the file but what you are after is what Rob Collie calls the 'Greatest Formula in the World' (GFITW). This is untested but try:
= CALCULATE (
SUM ( WKRelStrength[RS+-] ),
FILTER (
ALL ( Cal ),
Cal[Date] <= MAX ( Cal[Date] )
&& Cal[Date]
>= MAX ( Cal[Date] ) - 90
) )
Note, this will give you the previous 90 days which is approx 3 months, getting exactly the prior 3 calendar months may be possible but arguably is less optimal as you are going to be comparing slightly different lengths of time (personal choice I guess).
Also, this will behave 'strangely' if you have a total in that it will use the last date in your selection.
First of all, the formula that you are using is designed to work as a Measure. This may not work well for a Calculated Column. Secondly, it is better to do such aggregations as a Measure level, than at individual records.
Then again, I do not fully understand your situation, but if it is absolutely important for you to do this at a Record level, you may want to use the "Earlier" Function.
If you want to filter a function, based on a value in the correspontinf row, you just have to wrap your Column name with the Earlier Function. Try changing the LastDate to Earlier in your formula.
I am in a situation where I need to calculate Percentage for every fiscal year depending on distinct count of the rows.
I have achieved the distinct count (fairly simple task) for each year city-wise and reached till these 2 listings in cube.
The first listing is state wide distinct count for given year.
Second listing is city wise distinct count for given year with percentage based on state-wide count for that year for that city.
My problem is that I need to prepare a calculated member for the percentage column for each given year.
For eg, In year 2009, City 1 has distinct count of 2697 and percentage raise of 32.94%. (Formula used= 2697/8187 ).
I tried with ([Measures].[Distinct Count])/(SUM(ROOT(),[Measures].[Distinct Count])) but no luck.
Any help is highly appreciated.
Thanks in advance.
PS: City wide sum of year 2009 can never be equal to statewide distinct count of that year. This is because we are calculating the distinct count for city and state both.
You need to create a Region Hierarchy for this, like State -> City. The create a calculation like below. Then in the browser put your Hierarchy on the left and the sales and calculated percentage in values.
([Dim].[Region].CurrentMember, [Measures].[Salesamt]) /
iif(
([Dim].[Region].CurrentMember.Parent, [Measures].[Salesamt]) = 0,
([Dim].[Region].CurrentMember, [Measures].[Salesamt]),
([Dim].[Region].CurrentMember.Parent, [Measures].[Salesamt])
)