I currently have a table with data like below.
How would I go about grouping by HeaderId and get the distinct HeaderId where it contains multiple specified items?
An example is to return which HeaderId contains NTNB and NMPTN locations. I use the SQL below and then use C# to manually check if they are the same HeaderId .
SELECT DISTINCT([HeaderId]) FROM [dbo].[timings] WHERE Location = 'NTNB'
SELECT DISTINCT([HeaderId]) FROM [dbo].[timings] WHERE Location = 'NMPTN'
An expected outcome looking for distinct HeaderId's containing NTNB and NMPTN for the data below would be 4.
HeaderId Ordinal Location
3 0 KRKYLEJ
3 1 IRNVLJN
3 2 LGML
3 3 TRWLJN
3 4 STAPLFD
3 5 TOTODSL
4 0 CREWBHM
4 1 CREWBHJ
4 2 MADELEY
4 3 NTNB
4 4 STAFFRD
4 5 STAFTVJ
4 6 WHHSJN
4 7 COLWICH
4 8 RUGLYNJ
4 9 RUGL
4 10 LCHTNJ
4 11 AMNGTNJ
4 12 NNTN
4 13 RUGBTVJ
4 14 RUGBY
4 15 HMTNJ
4 16 LNGBKBY
4 17 NMPTN
4 18 HANSLPJ
4 19 MKNSCEN
4 20 DNBGHSJ
4 21 BLTCHLY
4 22 LEDBRNJ
4 23 TRING
4 24 BONENDJ
4 25 WATFDJ
4 26 HROW
4 27 WMBY
4 28 WLSDNBJ
4 29 HARLSJN
4 30 WLSDWLJ
4 31 CMDNJN
4 32 CMDNSTH
4 33 EUSTON
4 34 CMDNSTH
4 35 CMDNJN
4 36 QPRKAC
Aggregate by the HeaderId and then assert that both locations are present:
SELECT HeaderId
FROM timings
WHERE Location IN ('NTNB', 'NMPTN')
GROUP BY HeaderId
HAVING MIN(Location) <> MAX(Location)
Related
How to solve same problem in this link Sum of group but keep the same value for each row in r using pandas?
I can generate separate df have the sum for each group and then merge the generated df with the original.
You can use groupby & transform as below to get your output.
df['sumx']=df.groupby(['ID', 'Group'],sort=False)['x'].transform(sum)
df['sumy']=df.groupby(['ID', 'Group'],sort=False)['y'].transform(sum)
df
output
ID Group x y sumx sumy
1 1 1 1 12 3 25
2 1 1 2 13 3 25
3 1 2 3 14 3 14
4 3 1 4 15 15 48
5 3 1 5 16 15 48
6 3 1 6 17 15 48
7 3 2 7 18 15 37
8 3 2 8 19 15 37
9 4 1 9 20 30 63
10 4 1 10 21 30 63
11 4 1 11 22 30 63
12 4 2 12 23 12 23
I am very new to answering queries and using sql language, so I am having a hard time answering this one query.
The exact wording of it is: "Print the player_id and average points scored of players who scored an average of points that is greater than the average of points scored in arena 1."
This query is very confusing and I don't quite understand what I need to enter into my server to pull up the information it wants.
Here is the table that I have to use and it is named team_player_arena:
TEAM_ID PLAYER_ID ARENA_ID POINTS
---------- ---------- ---------- ----------
1 1 1 20
1 1 4 17
2 3 1 32
2 3 2 22
2 3 3 13
2 3 4 25
2 3 5 6
2 3 6 14
2 3 7 18
2 5 2 11
3 3 1 20
3 4 2 5
4 6 3 23
4 6 7 18
5 2 2 24
5 2 4 10
5 5 5 25
5 5 7 16
5 6 2 24
5 1 4 33
5 3 4 31
5 4 4 26
5 5 4 14
5 6 4 5
I understood as you want the list of players and their average score, Who has their average score above average score of arena 1
(SELECT player_id, avg(points)
FROM player_table,
GROUP BY player_id
Having avg(points) > (SELECT avg(points)
from player_table
where arena_id =1 )
Alright, so basically I just need to figure out how many of each number there are in a line. So for example:
3 2 9 4 3 3 4 3 4 3 3 4 4 3 3 3 3 3 3 3 3 3 3 3 3 2 3 3 3 3 3 3 4 3 3 4 13 13 4 3 3 13 3 13 13 13 13 13 13 13 13 13 9 4 4 4 4 3 5 3 9 10 3 4 8 10 4 3 4 13 13 13 13 4 2 5 5 13 13 13 13 13 4 13 13 13 13 13 13 13 13 13 13 13 13 13 13 13 9 13
These are the numbers, all in one line. I need to count how many 2's, 3's, 4's, etc. there are in this line. How would I go about doing this?
The functions are using SQL, more specifically I'm using the Klipfolio service.
The basic idea is to split the string (delimited by comma) and count/aggregate the rows from the split result (table). Also see T-SQL split string for more efficient ways to split a string.
Example:
DECLARE #String varchar(100) = '3 2 9 4 3 3 4 3 4 3 3 4 4 3 3 3 3 3 3 3 3 3 3 3 3 2 3 3 3 3 3 3 4 3 3 4 13 13 4 3 3 13 3 13'
-- To change ',' to any other delimeter, just change ',' to your desired one
DECLARE #Delimiter CHAR = ' '
SELECT Num, Count(Num) ct
FROM (
SELECT LTRIM(RTRIM(Split.a.value('.', 'VARCHAR(100)'))) 'Num'
FROM
(
SELECT CAST ('<M>' + REPLACE(#String, #Delimiter, '</M><M>') + '</M>' AS XML) AS Data
) AS A
CROSS APPLY Data.nodes ('/M') AS Split(a)
) A GROUP BY Num
Produces:
Num ct
--- ---
13 4
2 2
3 29
4 8
9 1
I have problem while assigning the Ranks for the below scenarios.In my scenario running total calculated based on the Cnt field.
My sql query should return Rank values like below output. Per page it should accept only 40 rows, so im assigning ranks contain only 40 records. If the running total crossing 40 it should change ranks. For each count 40 it should change the rank values.
It would great help if I can get sql query to return values
select f1,f2,sum(f2) over(order by f1) runnign_total
from [dbo].[Sheet1$]
OutPut:
ID cnt Running Total Rank
1 4 4 1
2 5 9 1
3 4 13 1
4 4 17 1
5 4 21 1
6 5 26 1
7 4 30 1
8 4 34 1
9 4 38 1
10 4 42 2
11 4 46 2
12 4 50 2
13 4 54 2
14 4 58 2
15 4 62 2
16 4 66 2
17 4 70 2
18 4 74 2
19 4 78 2
20 4 82 3
21 4 86 3
22 4 90 3
select f1,f2,sum(f2) over(order by f1) running_total, Floor(sum(f2) over(order by f1) / 40) [rank]
from [dbo].[Sheet1$]
Good Day All,
I need assistance in an creating an update query that groups my data.
The data in my table is actually spatial in nature and can be thought of a matrix that is 10 columns by 5 rows. I have the ObjectID, Row and Column but I want the column DesiredResult which is a 2x2 grouping of the rows & columns.
So the R,Cs of 1,1 1,2, 2,1 and 2,2, will have a DesiredResult of 1 while the 1,3 1,4 2,3 2,4 will have a DesiredResult of 2 and so on (see below for an example) ....
I was able to create the R and C columns using a combination of Quotient & Mod so I assume I would do somethign similar but I am stuck. How would I go about this query in MS Access ?
ObjectID R C DesiredResult
1 1 1 1
2 1 2 1
3 1 3 2
4 1 4 2
5 1 5 3
6 1 6 3
7 1 7 4
8 1 8 4
9 1 9 5
10 1 10 5
11 2 1 1
12 2 2 1
13 2 3 2
14 2 4 2
15 2 5 3
16 2 6 3
17 2 7 4
18 2 8 4
19 2 9 5
20 2 10 5
21 3 1 6
22 3 2 6
23 3 3 7
24 3 4 7
25 3 5 8
26 3 6 8
27 3 7 9
28 3 8 9
29 3 9 10
30 3 10 10
31 4 1 6
32 4 2 6
33 4 3 7
34 4 4 7
35 4 5 8
36 4 6 8
37 4 7 9
38 4 8 9
39 4 9 10
40 4 10 10
41 5 1 11
42 5 2 11
43 5 3 12
44 5 4 12
45 5 5 13
46 5 6 13
47 5 7 14
48 5 8 14
49 5 9 15
50 5 10 15
Something like ... ?
SELECT a.Row, a.Col, Col\2 AS D1, Col Mod 2 AS D2, [D1]+[D2] AS Desired
FROM table AS a
ORDER BY a.Row, a.Col;
Remou had a close approximation but it turns out this gives me what I need. I needed both a row and a column index.
SELECT ObjectID, R, C,
Int(([C]-1)/2) AS ColIndex,
Int(([R]-1)/2) AS RowIndex,
[RowIndex]*5+[ColIndex]+1 AS DesiredResult
FROM Testing
ORDER BY ObjectID
The key in the query is that there is the number 2 in both the Column & Row Index (which is the grouping size) and the number 5 is used in Desired Result and represents the Number of Row cells.
Thanks !