Reputation: 1021
Here is my query:
SELECT DISTINCT
Patient_Ref_master.Dept_ID AS 'Dept_ID' ,
( SELECT DISTINCT
COUNT(Patient_Ref_master.Sr_No)
FROM Patient_Ref_master
LEFT JOIN Patient_Master ON Patient_Master.Pat_Code = Patient_Ref_master.Pat_ID
WHERE Patient_Ref_master.creation_Date = '2013/08/02'
AND Patient_Master.Age >= 0
AND Patient_Master.Age <= 16
AND Patient_Master.Pat_Sex = 1
) AS 'Boys' ,
( SELECT DISTINCT
COUNT(Patient_Ref_master.Sr_No)
FROM Patient_Ref_master
LEFT JOIN Patient_Master ON Patient_Master.Pat_Code = Patient_Ref_master.Pat_ID
WHERE Patient_Ref_master.creation_Date = '2013/08/02'
AND Patient_Master.Age >= 0
AND Patient_Master.Age <= 16
AND Patient_Master.Pat_Sex = 2
) AS 'Girls' ,
( SELECT DISTINCT
COUNT(Patient_Ref_master.Sr_No)
FROM Patient_Ref_master
LEFT JOIN Patient_Master ON Patient_Master.Pat_Code = Patient_Ref_master.Pat_ID
WHERE Patient_Ref_master.creation_Date = '2013/08/02'
AND Patient_Master.Age > 16
AND Patient_Master.Pat_Sex = 2
) AS 'Females' ,
( SELECT DISTINCT
COUNT(Patient_Ref_master.Sr_No)
FROM Patient_Ref_master
LEFT JOIN Patient_Master ON Patient_Master.Pat_Code = Patient_Ref_master.Pat_ID
WHERE Patient_Ref_master.creation_Date = '2013/08/02'
AND Patient_Master.Age > 16
AND Patient_Master.Pat_Sex = 1
) AS 'Males'
FROM Patient_Ref_master
LEFT JOIN Patient_Master ON Patient_Master.Pat_Code = Patient_Ref_master.Pat_ID
LEFT JOIN Gender_master ON Gender_master.Code = Patient_Master.Pat_Sex
LEFT JOIN Dept_Master ON Dept_Master.Dept_code = Patient_Ref_master.Dept_ID
WHERE Patient_Ref_master.creation_Date = '2013/08/02'
GROUP BY Patient_Master.Pat_Sex ,
Patient_Ref_master.Dept_ID
Here I am trying to achieve the count of boys, girls, males and females according to departmet wise that is selected as first column. But I am getting result as
Dept_ID Boys Girls Females Males
102 3 0 11 6
103 3 0 11 6
104 3 0 11 6
My total count of the patients is 20 which is getting reflected in every row. How can I achieve perfect count of boys, girls, males and females according to department
Patient_ref_master
Sr_No int
Receipt_no varchar(50)
old_new int
Pat_catagory int
Fees decimal(10, 2)
Pat_ID int
Doc_ID int
Dept_ID int
Age_Catagory int
Age decimal(10, 7)
creation_Date datetime
created_By int
Qty decimal(5, 2)
Actual_Amnt decimal(7, 4)
Receipt_type int
Receipt_total_Price decimal(7, 4)
Receipt_suggestion_Type int
Receipt_actual_suggestion int
Patient master
Pat_Code int
Pat_FName varchar(30)
Pat_MName varchar(30)
Pat_SName varchar(30)
Pat_Sex varchar(10)
Pat_Addr varchar(100)
Pat_Mob_No varchar(13)
age int
creation_Date datetime
created_By int
Upvotes: 1
Views: 153
Reputation: 5120
Though I'm not confident without data sample, but give a try to following:
;with cte as (
SELECT prm.Dept_ID, p.[Group], prm.Sr_No
FROM Patient_Ref_master prm
JOIN Patient_Master pm ON pm.Pat_Code = prm.Pat_ID
CROSS APPLY (
select
case
when pm.Age between 0 and 16 and pm.Pat_Sex = 1 then 'Boys'
when pm.Age between 0 and 16 and pm.Pat_Sex = 2 then 'Girls'
when pm.Age > 16 and pm.Pat_Sex = 2 then 'Females'
when pm.Age > 16 and pm.Pat_Sex = 1 then 'Males'
end as [Group]
) p
WHERE prm.creation_Date = '2013/08/02'
)
select Dept_ID, [Boys], [Girls], [Females], [Males]
from cte
pivot (count(Sr_No) for [Group] in ([Boys],[Girls],[Females],[Males])) p
I removed left join
to Gender_master
and Dept_Master
, since I do not see use of them. Also I changed join from left
to inner between Patient_Ref_master
and Patient_Master
.
Upvotes: 2