I would like to query a table that has leads assigned by sales rep to return the unique number of leads grouped by agent and also the number sold. There can be multiple leads from one buyer, I would like to select distinct so each buyer is counted only once. Here is the layout of the data:
AgentId
BuyerEmail
Product
Category
1
lisa#gmail.com
Jeans
1
1
lisa#gmail.com
Hat
1
1
ryan#gmail.com
Shoes
3
2
mark#gmail.com
Jeans
1
2
mark#gmail.com
Socks
1
2
mark#gmail.com
Hat
1
4
john#gmail.com
Shirt
3
5
lou#gmail.com
Hat
3
5
tim#gmail.com
Shirt
3
I would like to return a dataset like the following:
AgentId
UniqueLeads
QtySold
1
2
1
2
1
0
4
1
1
5
2
2
I can query this individually but I can't get it to return in one result set. Here are the 2 separate queries:
SELECT COUNT(DISTINCT BuyerEmail) FROM SalesLeads GROUP BY InitialAgent
SELECT COUNT(DISTINCT BuyerEmail) FROM SalesLeads WHERE Category = 3 GROUP BY InitialAgent
How can I query the table and have both data points return in one result set? Please note, a category = 3 means it is sold.
You can use conditional aggregation to calculate QtySold in the same statement:
select AgentId,
count(distinct BuyerEmail) as UniqueLeads,
count(case when Category = 3 then Category end) as QtySold
from SalesLeads
group by AgentId
When Category is anything other than 3 the case statement returns null so that record isn't counted in the QtySold calculation.
db<>fiddle
Related
I have a table which has the following columns:
user_id - includes duplicates
product_id - includes duplicates
purchases - number of purchases of given product_id
My table looks somewhat like this:
user_id date product_id purchases
0 1 1 1 4
1 1 2 1 0
2 1 3 2 0
3 1 4 2 0
4 2 1 1 1
5 2 2 1 0
6 2 3 1 1
7 3 1 2 0
8 3 2 3 0
9 4 1 5 1
My goal is to calculate the following metric:
% of products that were purchased at least once, grouped by user
For example: user 1 had 2 products, one of them got purchased at least once, the other one did not get purchased at all. So the metric would be the number of products that got purchased at least once / number of all products per user: 1/2 * 100 = 50%
I have little SQL experience so I do not have any legitimate code that could be corrected.
My desired output would be like this:
user_id total_products products_with_purchases metric
0 1 2 1 50%
1 2 1 1 100%
2 3 2 0 0%
3 4 1 1 100%
I would appreciate seeing a good practice solution to this problem. Many thanks!
select
user_id,
count(distinct product_id) as total_products,
count(distinct case when purchases > 0 then product_id end) as products_with_purchases,
100.00 * count(distinct case when purchases > 0 then product_id end)
/ count(distinct product_id) as metric
from T as t
group by user_id
https://rextester.com/EDSY39439
You can do this all in one query but this is the type of situation where it is easier to understand with sub-queries -- sql optimizer should make it fast.
select
user_id,
total_products,
products_with_purchase,
(products_with_purchase / total_products) * 100 as metric
from (
select -- group by user to get totals
user_id,
count(product_id) as total_products,
sum(case when purchases > 0 then 1 else 0 end) as products_with_purchase
from ( -- group by user and product and get purchase items
SELECT user_id, product_id, sum(purchases) as purchases
FROM table
GROUP BY user_id, product_id
) X
group by user_id
) X2
I Am Mohit Sahni
you can solve the above problem with the below SQL Code:
select
user_id,
count(distinct product_id) as total_products,
sum(case when purchases = 0 then 0 else 1 end) as products_with_purchases,
((sum(case when purchases = 0 then 0 else 1 end))/count(distinct product_id))*100 as metric
from
table
group by
user_id
I have a product table:
productid product
1 A-110
2 B-110
3 C-400
4 D-401
And orderditems table:
orderitemid productid qty
1 1 10
2 2 10
3 3 10
4 3 10
5 4 10
I can group by based on product as:
select productid, sum(qty)
from ordereditems
group by productid
Which gives:
1 10
2 10
3 20
4 10
However for this query productid 1 & 2 , 3 & 4 are the same.
Meaning that I want to see:
1 + 2 20
3 + 4 30
Basically I want the query to understand that 1 & 2 are the same group and 3 & 4 are the same group.
How can i do that?
Edit:
Products 1 & 2 , 3 & 4 are not the same. However they are of the same family... What I want is to see how much we sell per family and not per product.
This is why the desired out put is:
1 + 2 20
3 + 4 30
A hacky version if you know that 1&2 are the same and 3&4 are the same, and those are the only things the same.
select
case
when productid in (1,2) then '1 + 2'
when productid in (3,4) then '3 + 4'
else productid
end as product_ids, sum(qty)
from ordereditems
group by
case
when productid in (1,2) then '1 + 2'
when productid in (3,4) then '3 + 4'
else productid
end
A better approach is to record in the database that two products are the same. Either by linking the duplicated products (2,4) to the product they're the same as (1,3) or by creating a new table family etc. and recording that products 1,2 are related to the same family.
family
familyid name
1 1+2
2 3+4
Extend product table
productid product familyid
1 A-110 1
2 B-110 1
3 C-400 2
4 D-401 2
then you can group on family
select f.name, sum(qty)
from ordereditems oi
inner join product p on oi.productid = p.productid
inner join family f on p.familyid = f.familyid
group by f.name
Pls add a GroupID/Category field to your table.
productid product GroupID
1 A-110 A
2 B-110 A
3 C-400 B
4 D-401 B
Then use the query
select GroupID, sum(qty) as Sold
from ordereditems
group by GroupID
This will represent as group sale as if you have more than 10 products in a group your productid will make complicity to understand.
If it works for you pls mark as helpful.. :)
For a university project I have to calculate a kpi based on the data of one table. The table stores data about baskets of a supermarket and the shopped line items and their product category. I have to calculate a number of all product categories of products which were bought in a specific store. So in tables it looks like this:
StoreId BasketID CategoryId
1 1 1
1 1 2
1 1 3
1 2 1
1 2 3
1 2 4
2 3 1
2 3 2
2 3 3
2 4 1
As a result of the query I want a table which counts the distinct product categories over all basket associated to a store.
Something like this:
StoreId Count(CategoryId)
1 4
2 3
If I do a not dynamic statement with hard values, it is working.
select basket_hash, store_id, count(DISTINCT retailer_category_id)
from promo.checkout_item
where store_id = 2
and basket_hash = 123
GROUP BY basket_hash, store_id;
But when I try to write it in a dynamic way, the sql calculates the amount per basket and adds the single amounts together.
select store_id, Count(DISTINCT retailer_category_id)
from promo.checkout_item
group by store_id;
But like this it isn't comparing the categories over all baskets associated to a store and I'm getting duplicates because a category can be in basket 1 and in basket 2.
Can somebody pls help?!
Thx!
As your expected result, Do you want following statement?
SELECT StoreId, COUNT(*)
FROM (
SELECT DISTINCT StoreId, CategoryId
FROM table_name
)
GROUP BY StoreId;
Please, replace "table_name" in statement by your table's name.
I'm not sure what is "dynamic way" meaning.
I'm confused by your requirements. This is what I suppose you mean:
with checkout_item (store_id, basket_hash, retailer_category_id) as (
values
(1,1,1),(1,1,2),(1,1,3),(1,2,1),(1,2,3),
(1,2,4),(2,3,1),(2,3,2),(2,3,3),(2,4,1)
)
select distinct store_id, basket_hash, store_cats, basket_cats
from (
select store_id, basket_hash,
max(store_cats) over (partition by store_id) as store_cats,
max(basket_cats) over (partition by basket_hash) as basket_cats
from (
select store_id, basket_hash,
dense_rank() over (
partition by store_id
order by retailer_category_id
) as store_cats,
dense_rank() over (
partition by basket_hash
order by retailer_category_id
) as basket_cats
from checkout_item
) s
) s
order by 1, 2
;
store_id | basket_hash | store_cats | basket_cats
----------+-------------+------------+-------------
1 | 1 | 4 | 3
1 | 2 | 4 | 3
2 | 3 | 3 | 3
2 | 4 | 3 | 1
I have this table:
DebitDate | DebitTypeID | DebitPrice | DebitQuantity
----------------------------------------------------
40577 1 50 3
40577 1 100 1
40577 2 75 2
40578 1 50 2
40578 2 150 2
I would like to get with a single query (if that's possible), these details:
date, debit_id, total_sum_of_same_debit, how_many_debits_per_day
so from the example above i would get:
40577, 1, (50*3)+(100*1), 2 (because 40577 has 1 and 2 so total of 2 debits per this day)
40577, 2, (75*2), 2 (because 40577 has 1 and 2 so total of 2 debits per this day)
40578, 1, (50*2), 2 (because 40578 has 1 and 2 so total of 2 debits per this day)
40578, 2, (150*2), 2 (because 40578 has 1 and 2 so total of 2 debits per this day)
So i have this sql query:
SELECT DebitDate, DebitTypeID, SUM(DebitPrice*DebitQuantity) AS TotalSum
FROM DebitsList
GROUP BY DebitDate, DebitTypeID, DebitPrice, DebitQuantity
And now i'm having trouble and i'm not sure where to put the count for the last info i need.
You would need a correlated subquery to get this new column. You also need to drop DebitPrice and DebitQuantity from the GROUP BY clause for it to work.
SELECT DebitDate,
DebitTypeID,
SUM(DebitPrice*DebitQuantity) AS TotalSum,
( select Count(distinct E.DebitTypeID)
from DebitsList E
where E.DebitDate=D.DebitDate) as CountDebits
FROM DebitsList D
GROUP BY DebitDate, DebitTypeID
I think this can help you.
SELECT DebitDate, SUM(DebitPrice*DebitQuantity) AS TotalSum, Count(DebitDate) as DebitDateCount
FROM DebitsList where DebitTypeID = 1
GROUP BY DebitDate
I have these 2 tables:
Table: Unit
UnitID | Title
1 Unit 1
2 Unit 2
3 Unit 3
Table: Piece
PieceID | UnitID | Category
1 1 A
2 1 A
3 1 B
4 2 A
5 3 B
What I need to do is show a count of the total units containing Piece rows with Category A, as well as the total amount of Piece table rows with Category A (regardless of unitid). So using the data above, the result would be 2 units, 3 Piece rows.
I could do this with two statements, but I would like to do it one.
Any suggestions from craftier folks than I?
Filter out the pieces with the correct category, then count the units distinctly:
select count(distinct UnitId) as Units, count(*) as Pieces
from Piece
where Category = 'A'
Try:
select count(distinct UnitID) total_units, count(*) total_rows
from Piece
where Cateory = 'A';