Transposing columns sql server - sql-server

Question

I have a slightly complex query below:
with t as (
select a.ID, a.Date_Reported AS [Date Sent], b.Date_Received AS [Date Returned],
(datediff(dd, a.date_reported, b.date_received)
+ CASE WHEN Datepart(dw, b.date_received) = 7 THEN 1 ELSE 0 END
- (Datediff(wk, a.date_reported, b.date_received) * 2 )
- CASE WHEN Datepart(dw, b.date_received) = 1 THEN 1 ELSE 0 END +
- CASE WHEN Datepart(dw, b.date_received) = 1 THEN 1 ELSE 0
END) AS [Time_Spent]
from TX_ext a
join TX b on b.id on a.id
)
select
sum(case when Time_Spent between 0 and 3 then 1 else 0 end) as _0_3_days,
sum(case when Time_Spent = 4 then 1 else 0 end) as _4_days,
sum(case when Time_Spent = 5 then 1 else 0 end) as _5_days,
sum(case when Time_Spent between 6 and 8 then 1 else 0 end) as _6_8_days,
sum(case when Time_Spent >= 9 then 1 else 0 end) as more_than_9_days,
avg(case when Time_Spent between 0 and 3 then 100.0 else 0 end) as _0_3_percent,
avg(case when Time_Spent = 4 then 100.0 else 0 end) as _4_percent,
avg(case when Time_Spent = 5 then 100.0 else 0 end) as _5_percent,
avg(case when Time_Spent between 6 and 8 then 100.0 else 0 end) as _6_8_percent,
avg(case when Time_Spent >= 9 then 100.0 else 0 end) as more_than_9_day_percent
from t
The above query gives me the below table:
0-3 | 4 | 5 | 6-8 | 9+ | 0-3% | 4% | 5% | 6-8% | 9+%
2 | 3 | 1 | 3 | 1 | 20 | 30 | 10 | 30 | 10
However what I would ideally like is this (the % figures transposed as a row) and also headings as the FIRST column:
Time Taken (days) | 0-3 | 4 | 5 | 6-8 | 9+
Count | 2 | 3 | 1 | 3 | 1
% | 20 | 30| 10| 30 | 10
Any ideas? Thanks in advance

Answer 1

you can do this using CROSS APPLY like below query
See live demo
; with t as
(
select
a.ID,
a.Date_Reported AS [Date Sent],
b.Date_Received AS [Date Returned],
(datediff(dd, a.date_reported, b.date_received)
+ CASE WHEN Datepart(dw, b.date_received) = 7 THEN 1 ELSE 0 END
- (Datediff(wk, a.date_reported, b.date_received) * 2 )
- CASE WHEN Datepart(dw, b.date_received) = 1 THEN 1 ELSE 0 END +
- CASE WHEN Datepart(dw, b.date_received) = 1 THEN 1 ELSE 0
END) AS [Time_Spent]
from TX_ext a
join TX b on b.id on a.id
)
select V.*
from
(
select
sum(case when Time_Spent between 0 and 3 then 1 else 0 end) as _0_3_days,
sum(case when Time_Spent = 4 then 1 else 0 end) as _4_days,
sum(case when Time_Spent = 5 then 1 else 0 end) as _5_days,
sum(case when Time_Spent between 6 and 8 then 1 else 0 end) as _6_8_days,
sum(case when Time_Spent >= 9 then 1 else 0 end) as more_than_9_days,
avg(case when Time_Spent between 0 and 3 then 100.0 else 0 end) as _0_3_percent,
avg(case when Time_Spent = 4 then 100.0 else 0 end) as _4_percent,
avg(case when Time_Spent = 5 then 100.0 else 0 end) as _5_percent,
avg(case when Time_Spent between 6 and 8 then 100.0 else 0 end) as _6_8_percent,
avg(case when Time_Spent >= 9 then 100.0 else 0 end) as more_than_9_day_percent
from t
) T1
cross apply
( values
('Count',[_0_3_days] , [_4_days] , [_5_days] , [_6_8_days] , [more_than_9_days]),
('%',[_0_3_percent] , [_4_percent] , [_5_percent] , [_6_8_percent] , [more_than_9_day_percent] )
)
v([Time Taken (days)],[0-3],[4],[5],[6-8],[9+])

Answer 2

select
sum(case when Time_Spent between 0 and 3 then 1 else 0 end) as _0_3,
sum(case when Time_Spent = 4 then 1 else 0 end) as _4,
sum(case when Time_Spent = 5 then 1 else 0 end) as _5,
sum(case when Time_Spent between 6 and 8 then 1 else 0 end) as _6_8,
sum(case when Time_Spent >= 9 then 1 else 0 end) as more_than_9
from t
union
select
avg(case when Time_Spent between 0 and 3 then 100.0 else 0 end) as _0_3,
avg(case when Time_Spent = 4 then 100.0 else 0 end) as _4,
avg(case when Time_Spent = 5 then 100.0 else 0 end) as _5,
avg(case when Time_Spent between 6 and 8 then 100.0 else 0 end) as _6_8,
avg(case when Time_Spent >= 9 then 100.0 else 0 end) as more_than_9
from t