I'm trying to compare different costs from different periods. But I dont no how I can compare the single record with the record before and after. What I need is a yes or no in my dataset when the costs from a records is the same as record before and record after.
My dataset looks like this:
+--------+-----------+----------+------------+-------+-----------+
| Client | Provision | CAK Year | CAK Period | Costs | Serial Nr |
+--------+-----------+----------+------------+-------+-----------+
| 1 | 210 | 2017 | 13 | 150 | 1 |
+--------+-----------+----------+------------+-------+-----------+
| 1 | 210 | 2018 | 1 | 200 | 2 |
+--------+-----------+----------+------------+-------+-----------+
| 1 | 210 | 2018 | 2 | 170 | 3 |
+--------+-----------+----------+------------+-------+-----------+
| 1 | 210 | 2018 | 3 | 150 | 4 |
+--------+-----------+----------+------------+-------+-----------+
| 1 | 210 | 2018 | 4 | 150 | 5 |
+--------+-----------+----------+------------+-------+-----------+
| 1 | 210 | 2018 | 5 | 150 | 6 |
+--------+-----------+----------+------------+-------+-----------+
| 1 | 689 | 2018 | 1 | 345 | 1 |
+--------+-----------+----------+------------+-------+-----------+
| 1 | 689 | 2018 | 2 | 345 | 1 |
+--------+-----------+----------+------------+-------+-----------+
| 1 | 689 | 2018 | 3 | 345 | 1 |
+--------+-----------+----------+------------+-------+-----------+
What i've tried so far:
CASE
WHEN Provision = Provision
AND Costs = LEAD(Costs, 1, 0) OVER(ORDER BY CAK Year, CAK Period)
AND Costs = LAG(Costs, 1, 0) OVER(ORDER BY CAK Year, CAK Period)
THEN 'Yes
ELSE 'No'
END
My expected result:
+--------+-----------+----------+------------+-------+-----------+--------+
| Client | Provision | CAK Year | CAK Period | Costs | Serial Nr | Result |
+--------+-----------+----------+------------+-------+-----------+--------+
| 1 | 210 | 2017 | 13 | 150 | 1 | No
+--------+-----------+----------+------------+-------+-----------+--------+
| 1 | 210 | 2018 | 1 | 200 | 2 | No
+--------+-----------+----------+------------+-------+-----------+--------+
| 1 | 210 | 2018 | 2 | 170 | 3 | No
+--------+-----------+----------+------------+-------+-----------+--------+
| 1 | 210 | 2018 | 3 | 150 | 4 | No
+--------+-----------+----------+------------+-------+-----------+--------+
| 1 | 210 | 2018 | 4 | 150 | 5 | Yes
+--------+-----------+----------+------------+-------+-----------+--------+
| 1 | 210 | 2018 | 5 | 150 | 6 | No
+--------+-----------+----------+------------+-------+-----------+--------+
| 1 | 689 | 2018 | 1 | 345 | 1 | No
+--------+-----------+----------+------------+-------+-----------+--------+
| 1 | 689 | 2018 | 2 | 345 | 1 | Yes
+--------+-----------+----------+------------+-------+-----------+--------+
| 1 | 689 | 2018 | 3 | 345 | 1 | No
+--------+-----------+----------+------------+-------+-----------+--------+
You guys can help me further because I don't get the expected result?
You need to add in partition by Provision otherwise your lag and lead ordering will run across all Provision values:
declare #d table(Client int,Provision int,CAKYear int, CAKPeriod int, Costs int, SerialNr int);
insert into #d values
(1,210,2017,13,150,1)
,(1,210,2018,1,200,2)
,(1,210,2018,2,170,3)
,(1,210,2018,3,150,4)
,(1,210,2018,4,150,5)
,(1,210,2018,5,150,6)
,(1,689,2018,1,345,1)
,(1,689,2018,2,345,1)
,(1,689,2018,3,345,1);
select *
,case when Provision = Provision
and Costs = lead(Costs, 1, 0) over(partition by Provision order by CAKYear, CAKPeriod)
and Costs = lag(Costs, 1, 0) over(partition by Provision order by CAKYear, CAKPeriod)
then 'Yes'
else 'No'
end as Result
from #d
order by Provision
,CAKYear
,CAKPeriod;
Output
+--------+-----------+---------+-----------+-------+----------+--------+
| Client | Provision | CAKYear | CAKPeriod | Costs | SerialNr | Result |
+--------+-----------+---------+-----------+-------+----------+--------+
| 1 | 210 | 2017 | 13 | 150 | 1 | No |
| 1 | 210 | 2018 | 1 | 200 | 2 | No |
| 1 | 210 | 2018 | 2 | 170 | 3 | No |
| 1 | 210 | 2018 | 3 | 150 | 4 | No |
| 1 | 210 | 2018 | 4 | 150 | 5 | Yes |
| 1 | 210 | 2018 | 5 | 150 | 6 | No |
| 1 | 689 | 2018 | 1 | 345 | 1 | No |
| 1 | 689 | 2018 | 2 | 345 | 1 | Yes |
| 1 | 689 | 2018 | 3 | 345 | 1 | No |
+--------+-----------+---------+-----------+-------+----------+--------+
I want to find for each row(where B = C = D = 1), the max of A among its previous rows(where B = C = D = 1) excluding its row after its ordered in chronological order.
Data in table looks like this:
+-------+-----+-----+-----+------+------+
|Grp id | B | C | D | A | time |
+-------+---- +-----+-----+------+------+
| 111 | 1 | 0 | 0 | 52 | t |
| 111 | 1 | 1 | 1 | 33 | t+1 |
| 111 | 0 | 1 | 0 | 34 | t+2 |
| 111 | 1 | 1 | 1 | 22 | t+3 |
| 111 | 0 | 0 | 0 | 12 | t+4 |
| 222 | 1 | 1 | 1 | 16 | t |
| 222 | 1 | 0 | 0 | 18 | t2+1 |
| 222 | 1 | 1 | 0 | 13 | t2+2 |
| 222 | 1 | 1 | 1 | 12 | t2+3 |
| 222 | 1 | 1 | 1 | 09 | t2+4 |
| 222 | 1 | 1 | 1 | 22 | t2+5 |
| 222 | 1 | 1 | 1 | 19 | t2+6 |
+-------+-----+-----+-----+------+------+
Above table is resultant of below query. Its obtained after left joins as below. Joins are necessary according to my project requirement.
SELECT Grp id, B, C, D, A, time, xxx
FROM "DCR" dcr
LEFT JOIN "DCM" dcm ON "Id" = dcm."DCRID"
LEFT JOIN "DC" dc ON dc."Id" = dcm."DCID"
ORDER BY dcr."time"
Result column needs to be evaluated based on formula I mentioned above. It needs to be calculated in same pass as we need to consider only its previous rows. Above xxx needs to be replaced by a subquery/statement to obtain the result.
And the result table should look like this:
+-------+-----+-----+-----+------+------+------+
|Grp id | B | C | D | A | time |Result|
+-------+---- +-----+-----+------+------+------+
| 111 | 1 | 0 | 0 | 52 | t | - |
| 111 | 1 | 1 | 1 | 33 | t+1 | - |
| 111 | 1 | 1 | 1 | 34 | t+2 | 33 |
| 111 | 1 | 1 | 1 | 22 | t+3 | 34 |
| 111 | 0 | 0 | 0 | 12 | t+4 | - |
| 222 | 1 | 1 | 1 | 16 | t | - |
| 222 | 1 | 0 | 0 | 18 | t2+1 | - |
| 222 | 1 | 1 | 0 | 13 | t2+2 | - |
| 222 | 1 | 1 | 1 | 12 | t2+3 | 16 |
| 222 | 1 | 1 | 1 | 09 | t2+4 | 16 |
| 222 | 1 | 1 | 1 | 22 | t2+5 | 16 |
| 222 | 1 | 1 | 1 | 19 | t2+6 | 22 |
+-------+-----+-----+-----+------+------+------+
The column could be computed with a window function:
CASE WHEN b = 1 AND c = 1 AND d = 1
THEN max(a) FILTER (WHERE b = 1 AND c = 1 AND d = 1)
OVER (PARTITION BY "grp id"
ORDER BY time
ROWS BETWEEN UNBOUNDED PRECEDING AND 1 PRECEDING)
ELSE NULL
END
I didn't test it.
I want to calculate average in Spotfire only when there are minimum 3 values. if there are no values or just 2 values the average should be blank
Raw data:
Product Age Average
1
2
3 10
4 12
5 13 11
6
7 18
8 19
9 20 19
10 21 20
The only way I could really do this is with 3 calculated columns. Insert these calculated columns in this order:
If(Min(If([Age] IS NULL,0,[Age])) over (LastPeriods(3,[Product]))<>0,1) as [BitFlag]
Avg([Age]) over (LastPeriods(3,[Product])) as [TempAvg]
If([BitFlag]=1,[TempAvg]) as [Average]
This will give you the following results. You can ignore / hide the two columns you don't care about.
RESULTS
+---------+-----+---------+------------------+------------------+
| Product | Age | BitFlag | TempAvg | Average |
+---------+-----+---------+------------------+------------------+
| 1 | | | | |
| 2 | | | | |
| 3 | 10 | | 10 | |
| 4 | 12 | | 11 | |
| 5 | 13 | 1 | 11.6666666666667 | 11.6666666666667 |
| 6 | | | 12.5 | |
| 7 | 18 | | 15.5 | |
| 8 | 19 | | 18.5 | |
| 9 | 20 | 1 | 19 | 19 |
| 10 | 21 | 1 | 20 | 20 |
| 11 | | | 20.5 | |
| 12 | 22 | | 21.5 | |
| 13 | 36 | | 29 | |
| 14 | | | 29 | |
| 15 | 11 | | 23.5 | |
| 16 | 23 | | 17 | |
| 17 | 14 | 1 | 16 | 16 |
+---------+-----+---------+------------------+------------------+
Now I need 5 formula for sum of each column, it works fine but I wish it can be simplified to one formula. Is it possible?
|----+----+----+-----+----|
| a | b | c | d | e |
|----+----+----+-----+----|
| 1 | 2 | 3 | 4 | 5 |
| 6 | 7 | 8 | 9 | 10 |
| 11 | 12 | 13 | 14 | 15 |
| 16 | 17 | 18 | 19 | 20 |
|----+----+----+-----+----|
| 34 | 38 | 42 | 160 | 50 |
|----+----+----+-----+----|
#+TBLFM: #>$5=vsum(#2$5..#-1$5)::#>$4=vsum(#2$1..#-1$4)::#>$3=vsum(#2$3..#-1$3)::#>$2=vsum(#2$2..#-1$2)::#>$1=vsum(#2$1..#-1$1)
This should work:
|----+----+----+----+----|
| a | b | c | d | e |
|----+----+----+----+----|
| 1 | 2 | 3 | 4 | 5 |
| 6 | 7 | 8 | 9 | 10 |
| 11 | 12 | 13 | 14 | 15 |
| 16 | 17 | 18 | 19 | 20 |
|----+----+----+----+----|
| 34 | 38 | 42 | 46 | 50 |
|----+----+----+----+----|
#+TBLFM: #>$1..#>$5=vsum(#2$0..#-1$0)
$0 on the RHS is the current column.
I know that crosstabs are just for summaries. But is it possible to use a crosstab for daily reports given two dates? It's more like a details summary.
For example:
Date: 10 August 2012
Start Date: 10/8/2012
End Date: 11/8/2012
Date: 10 August 2012
_________| Center 1 | Center 2 | Total |
Person 1 | 1 | 2 | 3 |
Person 2 | 2 | 5 | 7 |
TOTAL | 3 | 7 | 10 |
Date: 11 August 2012
_________| Center 1 | Center 2 | Total |
Person 1 | 5 | 2 | 7 |
Person 2 | 8 | 5 | 13 |
TOTAL | 13 | 7 | 20 |
Unfortunately, you'd have to have each date as a row in the crosstab, and I think this is the best you'll be able to get:
10 August 2012|_________| Center 1 | Center 2 | Total |
|Person 1 | 1 | 2 | 3 |
|Person 2 | 2 | 5 | 7 |
|TOTAL | 3 | 7 | 10 |
11 August 2012|_________| Center 1 | Center 2 | Total |
|Person 1 | 5 | 2 | 7 |
|Person 2 | 8 | 5 | 13 |
|TOTAL | 13 | 7 | 20 |
|GRAND | 16 | 14 | 30 |
|TOTAL | | | |
So your setup would be:
Center Total
----+--------+-------+------+
Date| | | |
|Person | | |