i have table that store questions each question have different answers and each answer have different weight and now i want to Calculation the rank but i don't now how do this.please help me
i use sql server
i have this table stored answers and weight of each answer
AdminQuesAns
=======================
Id QuesId Ans Value
10 1000 Yes 10
11 1000 somewhat 5
12 1000 No 0
10 1001 Yes 0
12 1001 No 10
and this table store Customer answers
AdminRank
==================================
Id SDId QuesId AnsValue
1 100 1000 10
2 100 1001 0
You can use the below query.
1.
Select SDId ,b.QuesId,
((sum(a.AnsValue) *100)/(Select sum(c.value)
from AdminQuesAns c where c.QuesId =b.QuesId))as'Rank'
from AdminRank a join AdminQuesAns b on a.QuesId=b.QuesId and value=AnsValue
group by SDId ,b.QuesId
This is how I'd go about it.
This has an inner query which gets the max value for each question, then the outer query pairs those with the values from the individual answers, sums across the questions and calculates one as a percentage of the other.
I'm also grouping by SDId, on the assumption that that is the ID of the person filling out the survey.
SELECT
ar.SDId,
100 * cast(sum(ar.AnsValue) as numeric(5,2)) / sum(mv.maxValue) as Rank
FROM
AdminRank ar
JOIN
(
SELECT
qa.QuesId,
max(qa.Value) as maxValue
FROM
AdminQuesAns qa
GROUP BY
qa.QuesId
) mv on ar.QuesId = mv.QuesId
GROUP BY
ar.SDId
Depending on your data types you may be able to remove the cast part.
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I have data in below format
CustomerID
ID
Year
value
1000
1477
2022
True
1000
1477
2021
True
1000
1474
2022
Credit
1000
1474
2021
Debit
1000
1464
2022
Total Amount
1000
1464
2021
Net Amount
I would like to transpose this data for a particular Customer ID at each ID level for each year. Below is the expected Output
CustomerID
Year
ID_1477
ID_1474
ID_1464
1000
2022
True
Credit
Total Amount
1000
2021
True
Debit
Net Amount
Below is the query I have written to get this. I basically performed a self join and extracted the required elements into separate columns
SELECT
ele_1477.CustomerID,
ele_1477.Year,
ele_1477.value as ID_1477,
ele_1474.value as ID_1474,
ele_1464.value as ID_1464
FROM
(select * from table where id=1477 ) ele_1477
LEFT OUTER JOIN (select * from table where id=1474 ) ele_1474 ON ele_1477.CustomerID=ele_1474.CustomerID and ele_1477.Year=ele_1474.Year
LEFT OUTER JOIN (select * from table where id=1464 ) ele_1464 ON ele_1477.CustomerID=ele_1464.CustomerID and ele_1477.Year=ele_1464.Year
But my question here is, I am not sure how effective this query is. I have another 150 set of IDs for a CustomerID that needs to be transposed. Does that mean should i do a self join 150 times? Looking for a best possible solution to achieve this
You can use a PIVOT and a dynamic SQL for your purpose.
For your sample data, you can pivot your table like below.
SELECT *
FROM sample_table
PIVOT (ANY_VALUE(Value) ID FOR ID IN ('1477', '1474', '1464'));
I have another 150 set of IDs for a CustomerID that needs to be transposed.
And also you can use EXECUTE IMMEDIATE instead of writing down 150 IDs in your real data.
EXECUTE IMMEDIATE FORMAT("""
SELECT * FROM sample_table PIVOT (ANY_VALUE(Value) ID FOR ID IN ('%s'))
""", (SELECT STRING_AGG(DISTINCT ID, "','") FROM sample_table));
Query results of above two queries
(this is homework, not going to lie)
I have an ANSI SQL query I wrote
this produces
the required
3rd highest prices correctly,
table sample is
select unique uni, price
from
(
(
select unique uni, price
from
(
select unique uni, price
from table1
group by uni
having price < max(price)
)
group by uni
having price < max(price)
)
group by uni
having price < max(price)
)
now i need to list the 1st, 2nd and 3rd into one table but make is such that it could be used nth times.
example:
Col1 Col2
uni1 10
uni1 20
uni2 20
uni2 10
uni3 30
uni3 20
uni1 30
/sorry for the formatting i havent been here for a very long time, i appreciate any assistance, i will supply a link to the uni of which i have asked the tutor if i can do so he said yes but not the whole code, something like 10%, but anyways./
In SAS you can use the proprietary option OUTOBS to restrict how many rows of a result set are output.
Example:
Use OUTOBS=3 to create top 3 table. Then use that table in a subsequent query.
data have;
input x ##; datalines;
10 9 8 7 6 5 4 3 2 1 0
;
proc sql;
reset outobs=3;
create table top3x as
select * from have
order by x descending;
reset outobs=max;
* another query;
quit;
I am trying in Athena to output only users which have some specific value in them but not in all of the rows
Suppose I have the table below.
I want all users which have value '100' in at least one of their rows but also having in other rows value different than 100.
user | value
A | 1
B | 2
A | 100
D | 3
A | 4
C | 3
C | 5
D | 100
So in this example I would want to get only users A and D because only them having 100 and none 100.
I tried maybe grouping by user and creating an array of values per user and then checking if array contains 100 but I don't manage doing it presto.
Also I thought about converting rows to columns and then checking if one of columns equals 100.
Those solutions are too complex? Anybody knows how to implement them or anyone has a better simpler solution?
The users that have at least one value of 100 can be found with this SQL:
SELECT DISTINCT user
FROM some_table
WHERE value = 100
But I assume you are after all tuples of user and value where the user has at least one value of 100, this can be accomplished by using the query above in a slightly more complex query:
WITH matching_users AS (
SELECT DISTINCT user
FROM some_table
WHERE value = 100
)
SELECT user, value
FROM matching_users
LEFT JOIN some_table USING (user)
You can use sub query as below to achieve your required output=
SELECT * FROM your_table
WHERE User IN(
SELECT DISTINCT User
FROM your_table
WHERE Value = 100
)
If you just want the users, I would go for aggregation:
select user
from t
group by user
having sum(case when value = 100 then 1 else 0 end) > 0;
If 100 is the maximum possible value, this can be simplified to:
having max(value) = 100
I have two tables Medication and Inventory. I'm trying to SELECT all the below details from both tables but there are multiple listings of medication ids with different BRANCH_NO also in the INVENTORY table (the primary key in INVENTORY is actually BRANCH_NO, MEDICATION_ID composite key)
I need to total up the various medication_IDs and also join the tables in one SELECT command and display all the infomation for each med (there are 5) with a total sum of each med at the end of each row. But im getting all muddled trying Group by and Sum and at one point partition. Help please I'm new to this.
Below is the latest non working version - but it doesn't display
Medication Name
Medication Desc
Manufacturer
Pack Size
like i chanced it might.
SELECT I.MEDICATION_ID,
SUM(I.STOCK_LEVEL)
FROM INVENTORY I
INNER JOIN (SELECT MEDICATION_NAME, SUBSTR(MEDICATION_DESC,1,20) "Medication Description",
MANUFACTURER, PACK_SIZE FROM MEDICATION) M ON MEDICATION_ID=I.MEDICATION_ID
GROUP BY I.MEDICATION_ID;
For the data imagine I want this sort of output:
MEDICATION_ID MEDICATION_NAME STOCK_LEVEL OtherColumns.....
1 Alpha 10
2 Bravo 20
3 Charlie 20
1 Alpha 30
4 Delta 10
5 Echo 20
5 Echo 40
2 Bravo 10
grouping and totalling into this:
MEDICATION_ID MEDICATION_NAME STOCK_LEVEL OtherColumns.....
1 Alpha 40
2 Bravo 30
3 Charlie 20
4 Delta 10
5 Echo 60
I can get this when its just one table but when Im trying to join tables and also SELECT things its just not working.
Thanks in advance guys. I appreciate it may be a simple solution, but it will be a big help.
You need to write explicitly all non-aggregated columns into both SELECT and GROUP BY lists ( Btw, no need to use a nested query, and if it's the case MEDICATION_ID column is missing in it ) :
SELECT I.MEDICATION_ID, M.MEDICATION_NAME, SUM(I.STOCK_LEVEL) AS STOCK_LEVEL,
SUBSTR(M.MEDICATION_DESC,1,20) "Medication Description", M.MANUFACTURER, M.PACK_SIZE
FROM INVENTORY I
JOIN MEDICATION M ON M.MEDICATION_ID = I.MEDICATION_ID
GROUP BY I.MEDICATION_ID, M.MEDICATION_NAME, SUBSTR(M.MEDICATION_DESC,1,20),
M.MANUFACTURER, M.PACK_SIZE;
This way, you'll be able to return all the listed columns.
I have one table with the following columns and sample values:
[test]
ID | Sample | Org | EmployeeNumber
1 100 6513241
2 200 3216542
3 300 5649841
4 100 9879871
5 200 6546548
6 100 1116594
My example count query based on [test] returns these sample values grouped by Org:
Org | Count of EmployeeNumber
100 3
200 2
300 1
My question is can I use this count to update test.Sample to 'x' for the top 3 records of Org 100, the top 2 records of Org 200, and the top 1 record of Org 300? It does not matter which records are updated, as long as the number of records updated for the Org = the count of EmployeeNumber.
I realize that I could just update all records in this example but I have 175 Orgs and 900,000 records and my real count query includes an iif that only returns a partial count based on other columns.
The db that I am taking over uses a recordset and loop to update. I am trying to write this in one SQL update statement. I have tried several variations of nested select statements but can't quite figure it out. Any help would save my brain from exploding. Thanks!
Assuming, that id is the unique ID of the row, you could use a correlated subquery to select the count of row IDs of the rows sharing the current organization, that are less than or equal to the current row ID and check, that this count is less than or equal to the number of records from that organization you want to designate.
For example to mark 3 records of the organization 100 you could use:
UPDATE test
SET sample = 'x'
WHERE org = 100
AND (SELECT count(*)
FROM test t
WHERE t.org = test.org
AND t.id <= test.id) <= 3;
And analog for the other cases.
(Disclaimer: I don't have access to Access (ha, ha, pun), so I could not test it. But I guess it's basic enough, to work in almost every DBMS, also in Access.)