I have this data about brands and sellers.
Brand | BB_seller |
---|---|
Biotherm | Amazon |
BVLGARI | 3rd Party |
BVLGARI | 3rd Party |
Carolina Herrera | Amazon |
Chanel | Amazon |
Chanel | Amazon |
select Brand, substring([Buy Box Seller],1,9) as BB_seller
from italy_keepa
where [Buy Box Seller] is not null
order by Brand
I want to transform it into this type of table - so actually I just need to count different types of sellers
Brand | Amazon | 3rd party |
---|---|---|
Chanel | 6 | 10 |
I tried this code - but numbers in count are strange
select Brand, count(distinct([Buy Box Seller])) as BB_seller
from italy_keepa
group by Brand
order by BB_seller desc
Brand | BB_seller |
---|---|
Chanel | 10 |
Tom Ford | 3 |
Prada | 3 |
Valentino | 2 |
You need to use 'PIVOT` technique for this case. I just provide simple example of such query, and you can adopt it for you case:
select
ProductCategoryID,
count(case when Color = 'Black' then ProductID end) balack_count,
count(case when Color != 'Black' then ProductID end) other_count
from product
group by ProductCategoryID