I'm trying to write a DAX formula that finds the maximum YearMonth and returns the liability IF the points earned are >0. So in the example below the returning value would be 190.
I've spent ages trying to get this to work without any luck, so if anyone can help I'd be really grateful
+-----------+---------------+-----------+
| YearMonth | Points Earned | Liability |
+-----------+---------------+-----------+
| 200506 | 86 | 170 |
| 200507 | 22 | 150 |
| 200508 | 45 | 190 |
| 200509 | 0 | 190 |
| 200510 | 0 | 190 |
+-----------+---------------+-----------+
*Apologies about the formatting of the table, I couldn't work out how to insert it correctly.
Create two measures MaxYearMonth and LastLiability.
MaxYearMonth :=
CALCULATE (
MAX ( [YearMonth] ),
FILTER ( ALL ( Table ), [Points Earned] > 0 )
)
LastLiability :=
CALCULATE (
SUM ( Table[Liability] ),
FILTER ( Table, Table[YearMonth] = [MaxYearMonth] )
)
The LastLiability measure calculates the Liability by using the MaxYearMonth measure. MaxYearMonth measure calculates the last YearMonth which Points Earned value is greater than 0.
Let me know if this helps.
Related
I'm really sorry as this was probably answered before, but I couldn't find something that solved the problem.
In this case, I'm trying to get the result of dividing two sums in the same column.
| Id | month | budget | sales |
| -- | ----- | ------ | ----- |
| 1 | jan | 1000 | 800 |
| 2 | jan | 1000 | 850 |
| 1 | feb | 1200 | 800 |
| 2 | feb | 1100 | 850 |
What i want is to get the % of completition for each id and month (example: get 0,8 or 80% in a fifth column for id 1 in jan)
I have something like
sel
id,
month,
sum (daily_budget) as budget,
sum (daily_sales) as sales,
budget/sales over (partition by 1,2) as efectivenes
from sales
group by 1,2
I know im doing this wrong but I'm kinda new with sql and cant find the way :|
Thanks!
This should do it
CAST(ROUND(SUM(daily_sales) * 100.00 / SUM(daily_budget), 1) AS DECIMAL(5,2)) AS Effectiveness
I'm new at SQL too but maybe I can help. Try this?
sel
id,
month,
sum (daily_budget) as budget,
sum (daily_sales) as sales,
(sum(daily_budget)/sum(daily_sales)) over (partition by id) as efectivenes
from sales
group by id
If you want to ALTER your table so that it contains a fifth column where the result of budget/sales is automatically calculated, all you need to do this add the formula to this auto-generated column. The example I am about to show is based on MySQL.
Open MySQL
Find the table you wish to modify in the Navigator Pane, right-click on it and select "Alter Table"
Add a new row to your table. Make sure you select NN (Not Null) and G (Generated Column) check boxes
In the Default/Expression column, simply enter the expression budget / sales.
Once you run your next query, you should see your column generated and populated with the calculated results. If you simply want the SQL statement to do the same from the console, it will be something like this: ALTER table YOUR_TABLE_NAME add result FLOAT as (budget / sales);
I have an MS Access Query which returns the following sample data:
+-----+------+------+
| Ref | ANS1 | ANS2 |
+-----+------+------+
| 123 | A | A |
| 234 | B | B |
| 345 | C | C |
| 456 | D | E |
| 567 | F | G |
| 678 | H | I |
+-----+------+------+
Is it possible to have Access return the overall percentage where ANS1 = ANS2?
So my new query would return:
50
I know how to get a count of the records returned by the original query, but not how to calculate the percentage.
Since you're looking for a percentage of some condition being met across the entire dataset, the task can be reduced to having a function return either 1 (when the condition is validated), or 0 (when the condition is not validated), and then calculating an average across all records.
This could be achieved in a number of ways, one example might be to use a basic iif statement:
select avg(iif(t.ans1=t.ans2,1,0)) from YourTable t
Or, using the knowledge that a boolean value in MS Access is represented using -1 (True) or 0 (False), the expression can be reduced to:
select -avg(t.ans1=t.ans2) from YourTable t
In each of the above, change YourTable to the name of your table.
If you know how to get a count, then apply that same knowledge twice:
SELECT Count([ANS1]) As MatchCount FROM [Data]
WHERE [ANS1] = [ANS2]
divided by the total count
SELECT Count([ANS1]) As AllCount FROM [Data]
To combine both of these in a basic SQL query, one needs a "dummy" query since Access doesn't allow selection of only raw data:
SELECT TOP 1
((SELECT Count([ANS1]) As MatchCount FROM [Data] WHERE [ANS1] = [ANS2])
/
(SELECT Count([ANS1]) As AllCount FROM [Data]))
AS MatchPercent
FROM [Data]
This of course assumes that there is at least one row... so it doesn't divide by zero.
I have a table car that looks like this:
| mileage | carid |
------------------
| 30 | 1 |
| 50 | 1 |
| 100 | 1 |
| 0 | 2 |
| 70 | 2 |
I would like to get the average difference for each car. So for example for car 1 I would like to get ((50-30)+(100-50))/2 = 35. So I created the following query
SELECT AVG(diff),carid FROM (
SELECT (mileage-
(SELECT Max(mileage) FROM car Where mileage<mileage AND carid=carid GROUP BY carid))
AS diff,carid
FROM car GROUP BY carid)
But this doesn't work as I'm not able to use current row for the other column. And I'm quite clueless on how to actually solve this in a different way.
So how would I be able to obtain the value of the next row somehow?
The average difference is the maximum minus he minimum divided by one less than the count (you can do the arithmetic to convince yourself this is true).
Hence:
select carid,
( (max(mileage) - min(mileage)) / nullif(count(*) - 1, 0)) as avg_diff
from cars
group by carid;
I'm stucking for a solution at the problem of finding daily profits from db (ms access) table. The difference wrt other tips I found online is that I don't have in the table a field "Price" and one "Cost", but a field "Type" which distinguish if it is a revenue "S" or a cost "C"
this is the table "Record"
| Date | Price | Quantity | Type |
-----------------------------------
|01/02 | 20 | 2 | C |
|01/02 | 10 | 1 | S |
|01/02 | 3 | 10 | S |
|01/02 | 5 | 2 | C |
|03/04 | 12 | 3 | C |
|03/03 | 200 | 1 | S |
|03/03 | 120 | 2 | C |
So far I tried different solutions like:
SELECT
(SELECT SUM (RS.Price* RS.Quantity)
FROM Record RS WHERE RS.Type='S' GROUP BY RS.Data
) as totalSales,
(SELECT SUM (RC.Price*RC.Quantity)
FROM Record RC WHERE RC.Type='C' GROUP BY RC.Date
) as totalLosses,
ROUND(totalSales-totaleLosses,2) as NetTotal,
R.Date
FROM RECORD R";
in my mind it could work but obviously it doesn't
and
SELECT RC.Data, ROUND(SUM (RC.Price*RC.QuantitY),2) as DailyLoss
INTO #DailyLosses
FROM Record RC
WHERE RC.Type='C' GROUP BY RC.Date
SELECT RS.Date, ROUND(SUM (RS.Price*RS.Quantity),2) as DailyRevenue
INTO #DailyRevenues
FROM Record RS
WHERE RS.Type='S'GROUP BY RS.Date
SELECT Date, DailyRevenue - DailyLoss as DailyProfit
FROM #DailyLosses dlos, #DailyRevenues drev
WHERE dlos.Date = drev.Date";
My problem beyond the correct syntax is the approach to this kind of problem
You can use grouping and conditional summing. Try this:
SELECT data.Date, data.Income - data.Cost as Profit
FROM (
SELECT Record.Date as Date,
SUM(IIF(Record.Type = 'S', Record.Price * Record.Quantity, 0)) as Income,
SUM(IIF(Record.Type = 'C', Record.Price * Record.Quantity, 0)) as Cost,
FROM Record
GROUP BY Record.Date
) data
In this case you first create a sub-query to get separate fields for Income and Cost, and then your outer query uses subtraction to get actual profit.
I'm facing a challenging request that's had me beating my head against the keyboard. I need to implement a script which will sort and summarize a dataset while accounting for overlapping values which are associated with different identifiers. The table from which I am selecting contains the following columns:
BoxNumber (Need to group by this value, which serves as the identifier)
ProdBeg (Contains the first 'page number' for the document/record)
ProdEnd (Contains the last 'page number' for the document/record)
DateProduced (Date the document was produced)
ArtifactID (Unique identifier for each document)
NumPages (Contains the number of pages associated with each document)
Selecting a sample of the data with no conditions resembles the following (sorry for lousy formatting):
BoxNumber | ProdBeg | ProdEnd | DateProduced | ArtifactID | NumPages
1200 | ABC01 | ABC10 | 12/4/2013 | 1564589 | 10
1201 | ABC11 | ABC20 | 12/4/2013 | 1498658 | 10
1200 | ABC21 | ABC30 | 12/4/2013 | 1648596 | 10
1200 | ABC31 | ABC40 | 12/4/2013 | 1489535 | 10
Using something like the following effectively groups and sorts the data by box number while accounting for different DateProduced dates, but does not account for overlapping ProdBeg/ProdEnd values between different BoxNumbers:
SELECT BoxNumber, MIN(ProdBeg) AS 'ProdBeg', MAX(ProdEnd) AS 'ProdEnd', DateProduced, COUNT(ArtifactID) AS 'Documents', SUM(NumPages) AS 'Pages'
FROM MyTable
GROUP BY BoxNumber, DateProduced
ORDER BY ProdBeg, ProdEnd
This yields:
BoxNumber | ProdBeg | ProdEnd| DateProduced | Documents| Pages
1200 | ABC01 | ABC40 | 12/4/2013 | 3 | 30
1201 | ABC11 | ABC20 | 12/4/2013 | 1 | 10
Here, it becomes apparent that the ProdBeg/ProdEnd values for box 1201 overlap those for box 1200. No variation on the script above will work, as it will inherently ignore any overlaps and only select the min/max. We need something which will produce the following result:
BoxNumber | ProdBeg | ProdEnd | DateProduced | Documents| Pages
1200 | ABC01 | ABC10 | 12/4/2013 | 1 | 10
1201 | ABC11 | ABC20 | 12/4/2013 | 1 | 10
1200 | ABC21 | ABC40 | 12/4/2013 | 2 | 20
I'm just not sure how we can group by box number without showing only distinct values (which can result in overlaps for ProdBeg/ProdEnd). Any suggestions would be greatly appreciated! The environment version is SQL 2008 R2 (SP1).
Yuch. This would be helped at least if you had lead()/lag() as in SQL Server 2012. But it is doable.
The idea is the following:
Add a variable that is the number part of the code (the last two digits).
Calculate the next number in the sequence.
Calculate a flag if there is a gap to the next number. This is the start of a "group".
Calculate the cumulative sum of the "start of a group" flag. This is a group id.
Do the aggregation.
The following query follows this logic. I didn't include the date produced. This seems redundant with the number, unless a box can appear on multiple days. (Adding the date produced is just a matter of adding the condition to the where clauses.) The resulting query is:
with bp as (
select t.*,
cast(right(prodbeg, 2) as int) as pbeg,
cast(right(prodend, 2) as int) as pend
from mytable t
),
bp1 as (
select bp.*,
(select top 1 pbeg
from bp bp2
where bp2.pbeg < bp.pbeg and pb2.BoxNumber = pb.BoxNumber
order by bp2.pbeg desc
) as prevpend
from bp
),
bp2 as (
select bp1.*,
(select sum(case when prevpend = pbeg - 1 then 0 else 1 end)
from bp1 bp1a
where bp1a.pbeg < bp1.pbeg and pb1a.BoxNumber = pb1.BoxNumber
) as groupid
from bp1
)
select BoxNumber, MIN(ProdBeg) AS ProdBeg, MAX(ProdEnd) AS ProdEnd, DateProduced,
COUNT(ArtifactID) AS 'Documents', SUM(NumPages) AS 'Pages'
FROM bp2
GROUP BY BoxNumber, groupid
ORDER BY ProdBeg, ProdEnd;