How to get these rows as columns in an SQL query - sql

Question

I need some help in writing up this SQL query using a single table. Something like this
User ID
Category
Spend
Transactions
Country
1
Sport
30
2
USA
1
Bills
60
3
USA
2
Sport
10
1
MEX
3
Grocery
50
8
CAN
2
Grocery
70
4
MEX
3
Sport
20
5
CAN
3
Bills
30
2
CAN
1
Petrol
60
5
USA
I then want to group the rows by the User id and group the spend and transactions each by the category and having the country as a column by itself like this.
User ID
Sport_Spend
Bills_Spend
Grocery_Spend
Petrol_Spend
Sport_Transactions
Bills_Transactions
Grocery_Transactions
Petrol_Transactions
Country
1
30
60
0
60
2
3
0
5
USA
2
10
0
70
0
1
0
4
0
MEX
3
20
30
50
0
5
2
8
0
CAN
Its stumping me a bit would appreciate some help.

Answer 1

#jarlh comments are most relevant and need to be addressed. But here is something to start with: (ms sql code) (I opted out from transactions columns to reduce the problem, but the coding is just the same) https://dbfiddle.uk/?rdbms=sqlserver_2019&fiddle=25550539029ba1c4be0826725bf9e00a
with data (UserID,Category,Spend,Transactions,Country) as(
select 1,'Sport',30,2,'USA' union all
select 1,'Bills',60,3,'USA' union all
select 2,'Sport',10,1,'MEX' union all
select 3,'Grocery',50,8,'CAN' union all
select 2,'Grocery',70,4,'MEX' union all
select 3,'Sport',20,5,'CAN' union all
select 3,'Bills',30,2,'CAN' union all
select 1,'Petrol',60,5,'USA'
)
select UserID
,isnull(SUM([Sport]),0)as Sport
,isnull(SUM([Bills]),0)as Bills
,isnull(SUM([Grocery]),0)as Grocery
,isnull(SUM([Petrol]),0)as Petrol
,MAX(Country)as Country
from (
select UserID,Category,Spend,Transactions,Country
from data) p
PIVOT(
SUM(SPEND)
For CATEGORY in ([Sport] ,[Bills] ,[Grocery] ,[Petrol])
)as PivotTable
group by UserID

Answer 2

select
COALESCE(user_id,0) as user_id,
COALESCE(Sport_Spend,0) as Sport_Spend,
COALESCE(Bills_Spend,0) as Bills_Spend,
COALESCE(Grocery_Spend,0) as Grocery_Spend,
COALESCE(Petrol_Spend,0) as Petrol_Spend,
COALESCE(Sport_Transactions,0) as Sport_Transactions,
COALESCE(Bills_Transactions,0) as Bills_Transactions,
COALESCE(Grocery_Transactions,0) as Grocery_Transactions,
COALESCE(Petrol_Transactions,0) as Petrol_Transactions
,country from
(SELECT DISTINCT user_id,country from table_name) as A
LEFT JOIN
(select user_id, spend as Sport_Spend ,transactions as Sport_Transactions from table_name where category='Sport') as B using (user_id)
LEFT JOIN
(select user_id, spend as Bills_Spend ,transactions as Bills_Transactions from table_name where category='Bills') as C using (user_id)
LEFT JOIN
(select user_id, spend as Grocery_Spend ,transactions as Grocery_Transactions from table_name where category='Grocery') as D using (user_id)
LEFT JOIN
(select user_id, spend as Petrol_Spend ,transactions as Petrol_Transactions from table_name where category='Petrol') as E using (user_id)
ORDER BY user_id;