I'm new to Power Query and I can't figure out how to do the following:
I have two tables
"REQUESTED"
Date
ReqNumber
Client
SKU
ReqQuantity
Jan-01
Z10
1
A
2
Feb-05
Z11
1
A
3
"SENT"
Date
Client
SKU
Quantity
Jan-15
1
A
1
Feb-02
1
A
3
Mar-10
1
A
5
What I want to achieve is that I want to merfe the tables and allow me to filter by date, showing the corresponding amount requested/sent
For Example:
If I filter dates between Jan-01 / Jan - 31
I should get the following:
"REQUESTED - SENT"
Date
ReqNumber
Client
SKU
ReqQuantity
SentQuantity
Jan-01
Z10
1
A
2
1
If I filter dates between Jan-01 / Feb - 28
I should get the following:
"REQUESTED - SENT"
Date
ReqNumber
Client
SKU
ReqQuantity
SentQuantity
Jan-01
Z10
1
A
2
2
Feb-05
Z11
1
A
3
2
If I filter dates between Jan-01 / Mar- 15
I should get the following:
"REQUESTED - SENT"
Date
ReqNumber
Client
SKU
ReqQuantity
SentQuantity
Jan-01
Z10
1
A
2
2
Feb-05
Z11
1
A
3
3
Is this posiible in Power Query?
Thanks!
I believe your question is a simple one that might get passed over because it is simple.
Two tables "Sent" "Requested"...
Merge is under the Home tab.
Set "Requested" as Left and "Sent" as right. Select date for both.
In the Sent column click on the expand icon.
Related
I've got an inventory transactions table :
Product
Date
Direction
Quantity
A
Date 1
IN
3
B
Date 2
IN
55.7
A
Date 3
OUT
1
B
Date 3
OUT
8
B
Date 3
IN
2
I can easily get the stock for any date with the following query :
SELECT Product,
SUM(CASE Direction WHEN 'IN' THEN Quantity ELSE -1 * Quantity END)
FROM Transactions
WHERE Date <= '#DateValue#'
GROUP BY Product;
Now my purpose is to get stocks aged like this using the FIFO principle :
Product
Total stock
0-30 days
31-60 days
61-90 days
91+ days
A
3
3
0
0
0
B
34.2
10
14.2
7
3
C
25
20
3
1
1
D
10
2
8
0
0
E
1
0
0
1
0
I am using SQL Server 2016 & SSMS 18.
The solution should be fast as it will be working against a table with 3,000,000+ rows.
A single query is preferred since it will be integrated into an ERP system.
I have yet to find a solution based on a single query after weeks of research. Any help is appreciated. Thanks in advance.
I have a table in SSAS Tabular Model like this
Table 1
ID END DATE
1 06/24/2016
1 06/24/2017
1 06/24/2018
2 08/08/2017
2 08/08/2016
3 12/12/2015
I would like to create a Mesure in DAX, in another related Table. The output should be this:
Table 2
ID MAXYEAR
1 2018
1 2018
1 2018
2 2017
2 2017
3 2015
PLEASE !!! WITHOUT USING EARLIER. Because my model is very large, and can´t use this function.
Create a relationship between the 2 tables, assuming that Table 2
contains unique values for ID.
Create a year column from end date
Year = year([END DATE])
After that, in Table 2 create a calculated column with the following code:
MaxYear = CALCULATE(max('Table'[Year]))
Table 2 should look like this
So, I'm really having a hard time with a report.
I need a report grouped by year. For example, we want to show how many cars are sold per year. So, the report has a column Year, the type/model of the car, and the quantity. However, I also want to show a row with null/zero value, so even when no car of a specific type was sold, I want it to show the row, but with 0.
The problem is, this query is based on a lot of views, which shows each transaction. So, my actual query works fine except it doesn't show a type when none of that type was sold in a year.
When I pivot this report using Oracle APEX, it almost works. It shows all the types, but if I filter per year, then they are gone.
I have all the years I need, but I don't have the data for that year. I take all the data from multiple views with the specifics of the sales. Some of the models/types were not sold in some years, so when I query the report, it doesn't show up, which is expected. For example:
What I get is
//YEAR - MODEL - QUANTITY //
2018 - MODEL 1 - 300
2018 - MODEL 2 - 12
2017 - MODEL 1 - 12
2017 - MODEL 2 - 33
2017 - MODEL 3 - 22
What I want
//YEAR - MODEL - QUANTITY //
2018 - MODEL 1 - 300
2018 - MODEL 2 - 12
2018 - MODEL 3 - 0
2017 - MODEL 1 - 12
2017 - MODEL 2 - 33
2017 - MODEL 3 - 22
Any ideas?
You can conjure rows, and outer join to them.
with years as (
select add_months(date '1980-1-1', (rownum-1)*12) dt
from dual
connect by level < 5
)
select y.dt, count(e.hiredate)
from scott.emp e
right outer join years y
on y.dt = trunc(e.hiredate,'yy')
group by y.dt
DT COUNT(E.HIREDATE)
------------------- -----------------
01-01-1982 00:00:00 1
01-01-1983 00:00:00 0
01-01-1981 00:00:00 10
01-01-1980 00:00:00 1
Seeking help with the following problem statement.
I/P Data Set:
customer id invoice date item id invoice amount Comment
1 10-Jan-2014 1 10 Start of 12 month window - 10th Jan 2014 to 10th Jan 2015
1 20-Jan-2014 2 20 Falls within 12 month window
1 21-Aug-2014 1 10 Falls within 12 month window
1 31-Dec-2014 1 10 Falls within 12 month window
1 20-Feb-2015 1 10 Start of new 12 month window as this is post 10th Jan 2015
1 30-Mar-2016 1 10 Start of new 12 month window as this is post 20th Feb 2016
Desired o/p
customer id invoice date item id invoice amount window sum(amount where item id = 1)
1 10-Jan-2014 1 10 1 10
1 20-Jan-2014 2 20 1 0
1 21-Aug-2014 1 10 1 20
1 31-Dec-2014 1 10 1 30
1 20-Feb-2015 1 10 2 10
1 30-Mar-2016 1 10 3 10
I tried using the following query in Hive to achieve the above output but the challenge is in resetting the next window once we have crossed the 12 month mark. (Please refer to rows 5 and 6 in the input data set). The need is for these records to be considered as start of a new window.
Following Query Used:
SELECT SUM(if(item_id = 1, invoice_amount, 0)) OVER (
PARTITION BY customer_id
ORDER BY invoice_date ASC
RANGE BETWEEN 31556926 PRECEDING AND CURRENT ROW
) FROM INVOICE_DETAILS;`
I would like to try and sort this data by descending number of events and from latest date, grouped by ID
I have tried proc sql;
proc sql;
create table new as
select *
from old
group by ID
order by events desc, date desc;
quit;
The result I currently get is
ID Date Events
1 09/10/2015 3
1 27/06/2014 3
1 03/01/2014 3
2 09/11/2015 2
3 01/01/2015 2
2 16/10/2014 2
3 08/12/2013 2
4 08/10/2015 1
5 09/11/2014 1
6 02/02/2013 1
Although the dates and events are sorted descending. Those IDs with multiple events are no longer grouped.
Would it be possible to achieve the below in fewer steps?
ID Date Events
1 09/10/2015 3
1 27/06/2014 3
1 03/01/2014 3
3 01/01/2015 2
3 08/12/2013 2
2 09/11/2015 2
2 16/10/2014 2
4 08/10/2015 1
5 09/11/2014 1
6 02/02/2013 1
Thanks
It looks to me like you're trying to sort by descending event, then by either the earliest or latest date (I can't tell which one from your explanation), also descending, and then by id. In your proc sql query, you could try calculating the min or max of the Date variable, grouped by event and id, and then sort the result by descending event, the descending min/max of the date, and id.