I have a dataset in the below format:
Date 1 Date 1 Date 1 Date 2 Date 2 Date 3 Date 3
Product 1 10 20 10 5 10 20 30
Product 2 5 5 10 10 10 5 30
Product 3 30 10 5 10 30 30 40
Product 4 5 10 10 20 5 10 20
and I am trying to sum the sales of the products by the date, to create the below:
Date 1 Date 2 Date 3
Product 1 40 15 50
Product 3 45 40 70
Product 4 25 25 30
Product 2 20 20 35
The products in the second table will often be in a different order, so a simple SUMIF will not suffice.
I've attempted a combination of SUM, INDEX and MATCH, as well as SUM with nested IF function, but no amount of Googling or trial and error is getting me there. I keep just bringing back the values in one cell, but not managing to sum.
With the following setup:
I used the following formula
=SUMIF($B$1:$H$1,B$10,INDIRECT("$B" & MATCH($A11,$A$1:$A$5,0) & ":$H" &MATCH($A11,$A$1:$A$5,0)))
To get what was wanted. I put the formula in B11 and then copied across and Down
Related
Serial Number
1
2
3
4
5
6
7
8
9
10
11
12
13
14
15
16
17
18
19
20
21
22
23
24
25
26
Parameter 1
22.95
23.46
22.71
23.41
23.36
23.18
23.52
23.35
22.86
22.47
22.63
23.72
23.22
23.17
22.8
23.18
23.15
23.12
23.16
23.22
23.58
23.68
23.33
23.52
23.54
23.48
Parameter 2
19.97
20.83
19.22
20.39
20.33
20.44
20.62
20.26
21.22
20.31
20.53
20.62
20.65
20.14
19.43
20.66
20.09
20.52
20.41
20.63
20.98
21.15
19.97
20.72
20.71
20.32
We have to divide this table into groups of 4 columns such that:-
1.Max difference between the values of parameter 1 of the columns in a group is less than 1
2.Max difference between the values parameter 2 of the columns in a group is less than 0.5
for eg. The columns 4,5,6,7 form a valid group
I need an algorithm that will return the maximum number of groups that this table can be divided into and will also return those groups.
for eg. In this case the maximum number of groups possible are 6, and the remaining 2 columns do not fall under any group. The algorithm should return these 6 groups.
Say I have a table of subtractions and divisions sorted by date:
tblFactors
dt sub divide
2014-07-01 1 1
2014-06-01 0 5
2014-05-01 2 1
2014-05-01 0 3
I have another table of values, sorted by date:
tblValues
dt val
2014-07-05 4
2014-06-15 5
2014-05-15 21
2014-04-14 31
2014-03-15 71
I need to perform some sequential calculations. For the first value in tblFactors, I need to subtract 1 from every val where tblValues.dt < '2014-07-01'.
Next, I need to process the second row in tblFactors. There is nothing to subtract. However, the divide = 5 means that I need to divide every val by 5 where tblValues.dt < '2014-06-01'. The tricky thing is that I need to do this on the modified val from the row before (divide 20 / 5, not 21 / 5).
Each row in tblFactors would process in this manner, giving a sequence like this:
tblFactors: Row 1 Row 2 Row 3 Row 4
Dt Original Val Subtract 1 Divide by 5 Subtract 2 Divide by 3
7/5/2014 4
6/15/2014 5 4
5/15/2014 21 20 4
4/14/2014 31 30 6 4
3/25/2014 71 70 14 12 4
This would leave me with:
qryValues
dt val
2014-07-05 4
2014-06-15 4
2014-05-15 4
2014-04-14 4
2014-03-15 4
Right now I'm doing vector multiplications over loops in R. I was wondering if there was a clever way to accomplish this in the native sql. I tried doing some aggregations but I've had limited success.
I have the following scenario:
Table is _etblpricelistprices
Columns are as follows:
iPriceListNameID iPricelistNameID iStockID fExclPrice
1 1 1 10
2 2 1 20
3 3 1 30
4 4 1 40
5 5 1 100
6 6 1 200
7 7 1 300
8 8 1 400
9 1 2 1000
10 2 2 2000
11 3 2 3000
12 4 2 4000
13 5 2 50
14 6 2 40
15 7 2 30
16 8 2 20
There are only two stock items here, but a lot more in the DB. The first column is the PK which auto-increments. The second column is the Pricelist. The pricelist is split as follows. (1-4) is current pricing and (5-8) is future pricing. the third column is the stock item's ID, and the fourth column, the pricing of the item.
I need a script to update this table to swap the future and current pricing per item. Please help
Observe, if you will, that swapping the iPricelistNameID values will achieve the same overall effect as swapping the fExclPrice values, and can be perfomed using a formula:
UPDATE _etblpricelistprices
SET
iPricelistNameID = CASE
WHEN iPricelistNameID > 4 THEN iPricelistNameID - 4
ELSE iPricelistNameID + 4
END
In T-SQL I would just use a group by clause and a count(*) in the select statement to give me the value I need. But with cubes it's different, because the count isn't just over rows, but dimensional combinations. So I've googled for an answer to no avail. Here is a detailed explanation of my problem:
My original MDX is:
SELECT
NON EMPTY
{
[Measures].[Budget]
} ON COLUMNS
,NON EMPTY
{
[Location].[Category - Entity - Facility].[Facility].ALLMEMBERS*
[Location].[Category - Facility - Unit].[Location].ALLMEMBERS*
[Calendar].[Day].[Day].ALLMEMBERS
} ON ROWS
FROM
(
SELECT
{[Location].[Category - Entity - Facility].[Category].&[3]} ON COLUMNS
FROM
(
SELECT
[Calendar].[Year - Quarter - Month - Day].[Day].&[2012-01-01T00:00:00]
: [Calendar].[Year - Quarter - Month - Day].[Day].&[2012-05-31T00:00:00]
ON COLUMNS
FROM [PHI Census]
)
)
Results look like this:
Facility 1 Location 1 Day 1 100
Facility 1 Location 1 Day 2 100
Facility 1 Location 1 Day 3 100
Facility 1 Location 1 Day 4 100
Facility 1 Location 2 Day 1 80
Facility 1 Location 2 Day 2 80
Facility 1 Location 2 Day 3 80
Facility 2 Location 1 Day 1 65
Facility 2 Location 1 Day 2 65
Facility 2 Location 1 Day 3 65
Facility 2 Location 1 Day 4 65
Facility 2 Location 2 Day 1 73
Facility 2 Location 2 Day 2 73
Facility 2 Location 2 Day 3 73
This gives me the [Budget] listed once for each Facility-Location-Day combination. I would like to remove [Calendar].[Day].[Day].ALLMEMBERS from the ON ROWS clause and simply use a calculate member that would return the count of the number of days for each Facility-Location combination along with each row. So basically,
The results would look like this:
Facility Location Budget DayCount
Facility 1 Location 1 100 4
Facility 1 Location 2 80 3
Facility 2 Location 1 65 4
Facility 2 Location 2 73 3
The expression of DayCount could be:
MEMBER [Measures].[DayCount] AS Count(NonEmpty([Calendar].[Day].[Day].ALLMEMBERS, [Measures].[Budget]))
for a table on ms-sql2000 containing the following columns and numbers:
S_idJ_id Se_id B_id Status Count multiply
63 1000 16 12 1 10 2
64 1001 12 16 1 9 3
65 1002 17 12 1 10 2
66 1003 16 12 1 6 3
67 1004 12 16 1 10 2
I want to generate an classic asp script which will do the following for each row
where status=1 :
-multiply -> answer= multiply column 'count' with column 'multiply'
Then:
count the total answer and sum for each se_id like :
se_id total
12 47
16 38
17 20
and display on screen like
Rank se_id total
1 12 47
2 16 38
3 17 20
Condition:
if there are multiple equal total values then give the lower numbered se_id a priority for
getting a ranking and give the next higher numbered se_id the next number in rank
Any sample code in classic asp or advice is welcome on how to get this accomplished
'score' = source table.
if (EXISTS (select * from INFORMATION_SCHEMA.TABLES where TABLE_NAME = 'result_table'))
begin
drop table result_table;
end
select
rank = IDENTITY(INT,1,1),
se_id, sum(multiply * count) as total
into result_table
from score
where status = 1
group by se_id
order by total desc, se_id;
[Edit] Change query as answer on first comment