Good afternoon!
I have a list of sellers in the following form:
Seller 1 - turnover $90
Seller 2 - turnover $110
Seller 3 - turnover $80
Seller 4 - turnover $120
...
I need to make the algorithm distributes them among supervisors so that each of them gets 2 sellers with equal turnover.
That is, the first supervisor will get the seller 1 and 2, the second - 3 and 4. What algorithm can be used here? Are there any functions that allow you to distribute sellers from a dataframe to Pandas in this way?
Related
Scenario:
I have a table that has all of the customer purchases by Month and each month has a period. Within that table I am showing the customers that have made purchases in each Month/Period. What I am trying to figure out is how to exclude any customer that made a purchase in the previous month so that the repeat purchases are only for unique customers. The data looks like the following:
customer_email
cohortMonth
month_number
orders_for_period
abc#gmail.com
10/2019
0
2
def#gmail.com
10/2019
0
1
ghi#gmail.com
10/2019
0
1
def#gmail.com
10/2019
1
1
abc#gmail.com
10/2019
1
1
def#gmail.com
10/2019
2
1
In the Table above for Month_number=0 we have 3 total customers and within this period customer abc#gmail.com was the only repeat customer because they have 2 orders. This would show as a 33% repeat purchase rate for month_number 0. For Month_number=1 we have 2 customers that have purchased again in the period but only def#gmail.com is unique as abc#gmail.com already made the purchase. This would then bring the repeat_rate to 66% as now 2 customers have comeback and purchased out of the 3 that originally purchased.
cohortMonth
month_number
repeat_purchase_rate
10/2019
0
33%
10/2019
1
66%
10/2019
2
66%
With every unique customer that purchases in the subsequent periods we want to add that to the total to understand the repeat rate at a cumulative level.
I have tried a ton of different ways to figure this out but backing out the customers that made purchases in the previous period and only showing the unique customers is where I am struggling at. Any help is greatly appreciated!
Side Note: Whenever I format a table it looks like how I want it to look in the preview but then when I review I get the error :"Your post appears to contain code that is not properly formatted as code. Please indent all code by 4 spaces using the code toolbar button or the CTRL+K keyboard shortcut. For more editing help, click the [?] toolbar icon."
I then indent and it breaks the way the table looks. Any help on that would be great as well. Thank you
I'm new to SQL, and I'm trying to create a database to manage a small inventory. This is the structure of the db:
DatabaseStructure
I need to create a query that returns the total inventory per material. So, the first step would be to look up for all the batches associated with the material. Second, look up for all the movements associated with each batch. Then, sum the quantity associated with each movement, but depending on the movement type (If it is a good receipt is addition (+), but if it is an inventory withdrawal is subtraction (-)).
Here is an example of the tables with sample data and the desired result.
Table Material
MaterialID
MaterialDescription
1
Bottle
2
Box
Table Batch
BatchID
MaterialID
VendorMaterial
VendorBatch
ExpirationDate
1000
1
2096027
00123456
12/12/2025
1001
1
2096027
00987654
11/11/2026
1002
2
102400
202400E
10/10/2023
Table Movement
MovementID
BatchID
MovementType
Quantity
CreatedBy
CreatedOnDate
1
1000
Good receipt
100
user1#email.com
4/10/2022
2
1000
Inventory withdrawal
20
user2#email.com
4/15/2022
3
1000
Inventory withdrawal
25
user3#email.com
4/17/2022
4
1001
Good receipt
100
user1#email.com
4/20/2022
5
1001
Inventory withdrawal
10
user4#email.com
4/26/2022
6
1002
Good receipt
50
user1#email.com
2/26/2022
Expected query result - total inventory per material:
MaterialDescription
TotalInventory
Bottle
145
Box
50
TotalInventory calculation: for Bottle there are two good receipts movements of 100 and three withdrawals of 20, 25 and 10. So, total inventory will be (100+100)-(20+25+10)=145.
Thanks for your help!
select
mat.MaterialDescription,
sum(
case mov.MovementType
when 'Good receipt' then 1
when 'Inventory withdrawal' then -1
else 0 /* don't know what to do for other MovementTypes */
end * mov.Quantity
) as TotalInventory
from
Material as mat
left join Batch as bat on bat.MaterialID = mat.MaterialID
left join Movement as mov on mov.BatchID = bat.BatchID
group by
mat.MaterialDescription
;
I have 2 tables: Customers and Actions, where each customer has uniqe ID (which can be found in each table).
Part of the customers became club members at a specific date (change between the customers). I'm trying to summarize their purchases until that date, and to get those who purchase more than (for example) 200 until they become club members.
For example, I can have the following customer:
custID purchDate purchAmount
1 2015-05-12 100
1 2015-07-12 150
1 2015-12-29 320
Now, assume that custID=1 became a club member at 2015-12-25; in that case, I'd like to get SUM(purchAmount)=250 (pay attention that I'd like to get this customer because 250>200).
I tried the following:
SELECT cust.custID, SUM(purchAmount)totAmount
FROM customers cust
JOIN actions act
ON cust.custID=act.custID
WHERE act.clubMember=1
AND cust.purchDate<act.clubMemberDate
GROUP BY cust.custID
HAVING totAmount>200;
Is it the right way to "attack" this question, or should I use something like while loop over the clubMemberDate (which telling the truth-I don't know how to do)?
I'm working with Teradata.
Your help will be appreciated.
I have the following SQL script(of which the result is displayed under the script). The issue I am having is that I need to add up the quantity on the invoice. The quantity works fine when all the products on the invoice are different. When there is a product that appears twice on the invoice, the result is incorrect. Any help appreciated.
The DISTINCT keyword acts on all columns you select.
A new product introduces a difference which makes it no longer distinct. Hence the extra row(s).
Where you had:
Order Product Total
1 Toaster $10
2 Chair $20
And another item is added to order 1:
Order Product Total
1 Toaster $99
1 Balloon $99 -- Yes that's a $89 balloon!
2 Chair $20
The new row (balloon) is distinct and isn't reduced into the previous row (toaster).
To make is distinct again, don't select the product name:
Order Total
1 $99
2 $20
Uniqueness kicks in and everyone's happy!
If you can remove the column from the select list that's "different", you should get the results you need.
I may be missing an obvious solution but I am looking for a way to take the average of a summed value. For example I have profit at an item# level where each item is on a bill as well and I want average of the bills profit.
Item# | Bill# | Profit
1 1 100
2 1 200
1 2 100
2 2 200
If I just take the avg of profit I get 150 but I want the avg of the bill total which would be 300. Is it possible to do this? I was thinking something like Calculate(Average(Profit),Bill# = Bill#) but that is always true?
Thanks in advance!
It's not totally clear how you intend to use your measure but there are some powerful iterative functions in PowerPivot that do this kind of thing. This formula iterates over each bill# and averages the sum of the profit:
= AVERAGEX(VALUES(tbl[bill#]), SUM(tbl[profit]))
The first argument simply creates a 'column' of the unique bill#s and the second is the summing the profit per bill#.
assuming your table is called tbl