Formatting multiple SELECT statements with PIVOT - sql

Question

Currently have a script that unions around a dozen SELECT statements, and example of two of these along with an example of the results is shown below.
DECLARE #Age TABLE (name VARCHAR(30), total FLOAT, percentage FLOAT)
INSERT INTO #Age
SELECT '0-18', (SELECT COUNT(*) FROM tblPerson p
INNER JOIN tblClient c ON c.intPersonID = p.intPersonID
WHERE ISNULL(dbo.fncReportClient_Age(p.dteBirthdate, GETDATE()), '') >= 0 AND ISNULL(dbo.fncReportClient_Age(p.dteBirthdate, GETDATE()), '') <= 18), ''
UPDATE #Age
SET percentage = ROUND((SELECT total FROM #Age WHERE name = '0-18')/(SELECT SUM(total) FROM #Age) * 100, 2)
FROM #Age
WHERE name = '0-18'
Etc.
SELECT
g.nvhGenderName,
COUNT(*),
ROUND(COUNT(*) * 1.0 / SUM(COUNT(*)) OVER () * 100, 2)
FROM
tblClient c
LEFT JOIN tblPerson p ON p.intPersonID = c.intPersonID
LEFT JOIN tblGender g ON g.intGenderID = p.intGenderID
GROUP BY g.nvhGenderName
UNION ALL
SELECT * FROM #Age
Results example below:
Name | Total | % |
---------------------------------
Male | 6514 | 60.32 |
Female | 4285 | 39.68 |
0-18 | 279 | 1.58 |
19-24 | 1748 | 9.93 |
25-34 | 5423 | 30.80 |
35-64 | 9546 | 54.21 |
65+ | 614 | 3.50 |
I would like to display these results horizontally as opposed to vertically, I think it is possible to do this with PIVOT but have never really used them. An example of how I want the data to be displayed is shown below:
Gender | Total | % | Age | Total | % |
-------------------------------------------------------------
Male | 6514 | 60.32 | 0-18 | 279 | 1.58 |
Female | 4285 | 39.68 | 19-24 | 1748 | 9.93 |
| | | 25-34 | 5423 | 30.80 |
| | | 35-64 | 9546 | 54.21 |
| | | 65+ | 614 | 3.50 |
In particular I am not sure how I would use a pivot to combine the multiple (12) SELECT statements that require it.
Any help on how to format this would be much appreciated.

Answer 1

Whilst I believe the layout really should be achieved elsewhere, the following may work for you. Clearly I cannot test it so, without the benefit of testing here goes:
WITH myCTE AS (
SELECT
COUNT(CASE WHEN oa.age >= 0 AND oa.age < 19 THEN p.intPersonID ELSE NULL END) c0019
, COUNT(CASE WHEN oa.age >= 19 AND oa.age < 25 THEN p.intPersonID ELSE NULL END) c1925
, COUNT(CASE WHEN oa.age >= 25 AND oa.age < 35 THEN p.intPersonID ELSE NULL END) c2535
, COUNT(CASE WHEN oa.age >= 35 AND oa.age < 65 THEN p.intPersonID ELSE NULL END) c3565
, COUNT(CASE WHEN oa.age >= 65 THEN p.intPersonID ELSE NULL END) c65on
, COUNT(CASE WHEN g.nvhGenderName = 'Male' THEN p.intPersonID ELSE NULL END) cmale
, COUNT(CASE WHEN g.nvhGenderName = 'Female' THEN p.intPersonID ELSE NULL END) cfemale
, COUNT(*) ctotal
FROM tblClient c
LEFT JOIN tblPerson p ON p.intPersonID = c.intPersonID
OUTER APPLY (
SELECT
dbo.fncReportClient_Age(p.dteBirthdate) AS age
) AS oa
LEFT JOIN tblGender g ON g.intGenderID = p.intGenderID
)
SELECT
ca.Gender, ca.Total2, ca.Pct, ca.Age, ca.Total2, ca.Pct2
FROM myCTE
CROSS APPLY (
VALUES
(1, 'Male' , t.cmale , (cmale * 100.0 / ctotal), '0-18', c0019, (c0019 * 100.0 / ctotal))
, (2, 'Female',t.cfemale,(cfemale * 100.0 / ctotal), '19-24', c1925, (c1925 * 100.0 / ctotal))
, (3, NULL,NULL,NULL, '25-34', c2535, (c2535 * 100.0 / ctotal))
, (4, NULL,NULL,NULL, '35-64', c3565, (c3565 * 100.0 / ctotal))
, (5, NULL,NULL,NULL, '65+' , c65on, (c65on * 100.0 / ctotal))
) AS ca (rn, Gender, Total2, Pct, Age, Total2, Pct2)
ORDER BY ca.rn
;
The second (lower) part of the query above uses a technique for unpivoting data that combines cross apply with values and this allows us to "layout" each row of the wanted final result row by row.
Using a CTE (the upper part of the query above) isn't essential, it could be moved into a subquery instead, but the query inside the CTE should be trialed standalone first and it should produce all the numbers you need in one pass of the data (assuming that the gender table doesn't disturb the count results). Note that using count(case expression here) removes the need for multiple separate queries. I suspect you don't need left joins by the way, and if that is true you could also change the outer apply to a cross apply. Note that the apply is used to execute your function, and by doing it ths way we are able to reference the result of that function by an alias in the remainder of the query (I used "age" as that alias).
I am unsure why you involve a client table when counting the persons table. I suspect it isn't needed. If my suspicions are correct the CTE detail could be replaced by this:
SELECT
COUNT(CASE WHEN oa.age >= 0 AND oa.age < 19 THEN 1 ELSE NULL END) c0019
, COUNT(CASE WHEN oa.age >= 19 AND oa.age < 25 THEN 1 ELSE NULL END) c1925
, COUNT(CASE WHEN oa.age >= 25 AND oa.age < 35 THEN 1 ELSE NULL END) c2535
, COUNT(CASE WHEN oa.age >= 35 AND oa.age < 65 THEN 1 ELSE NULL END) c3565
, COUNT(CASE WHEN oa.age >= 65 THEN 1 ELSE NULL END) c65on
, COUNT(CASE WHEN g.nvhGenderName = 'Male' THEN 1 ELSE NULL END) cmale
, COUNT(CASE WHEN g.nvhGenderName = 'Feale' THEN 1 ELSE NULL END) cfemale
, COUNT(*) ctotal
FROM tblPerson p
CROSS APPLY (
SELECT
dbo.fncReportClient_Age(p.dteBirthdate) AS age
) AS oa
INNER JOIN tblGender g ON g.intGenderID = p.intGenderID

Answer 2

Create VIEW view_name AS
SELECT * FROM (
select ColumnName1,ColumnName2 from TableName
) as s
PIVOT (
Sum(ColumnName2)
FOR ColumnName3 in ("Row1","Row2","Row3"
)
) As pvt
DROP VIEW view_name;
Select * from view_name