Good morning, I've searched in the forum one doubt that I have but the results that I've seen didn't give me a solution.
I have two tables.
CARS:
Id Model
1 Seat
2 Audi
3 Mercedes
4 Ford
BREAKDOWNS:
IdBd Description Date Price IdCar
1 Engine 01/01/2020 500 € 3
2 Battery 05/01/2020 0 € 1
3 Wheel's change 10/02/2020 110,25 € 4
4 Electronic system 15/03/2020 100 € 2
5 Brake failure 20/05/2020 0 € 4
6 Engine 25/05/2020 400 € 1
I wanna make a query that shows the number of breakdowns by month with 0€ of cost.
I have this query:
SELECT Year(breakdowns.[Date]) AS YEAR, StrConv(MonthName(Month(breakdowns.[Date])),3) AS MONTH, Count(*) AS [BREAKDOWNS]
FROM cars LEFT JOIN breakdowns ON (cars.Id = breakdowns.IdCar AND breakdowns.[Price]=0)
GROUP BY breakdowns.[Price], Year(breakdowns.[Date]), Month(breakdowns.[Date]), MonthName(Month(breakdowns.[Date]))
HAVING ((Year([breakdowns].[Date]))=[Insert a year:])
ORDER BY Year(breakdowns.[Date]), Month(breakdowns.[Date]);
And the result is (if I put year '2020'):
YEAR MONTH BREAKDOWNS
2020 January 1
2020 May 1
And I want:
YEAR MONTH BREAKDOWNS
2020 January 1
2020 February 0
2020 March 0
2020 May 1
Thanks!
The HAVING condition should be in WHERE (otherwise it changes the Outer to an Inner join). But as long as you don't use columns from cars there's no need to join it.
To get rows for months without a zero price you should switch to conditional aggregation (Access doesn't support Standard SQL CASE, but IIF?).
SELECT Year(breakdowns.[Date]) AS YEAR,
StrConv(MonthName(Month(breakdowns.[Date])),3) AS MONTH,
SUM(CASE WHEN breakdowns.[Price]=0 THEN 1 ELSE 0 END) AS [BREAKDOWNS]
FROM breakdowns
JOIN cars
ON (cars.Id = breakdowns.IdCar)
WHERE ((Year([breakdowns].[Date]))=[Insert a year:])
GROUP BY breakdowns.[Price], Year(breakdowns.[Date]), Month(breakdowns.[Date]), MonthName(Month(breakdowns.[Date]))
ORDER BY Year(breakdowns.[Date]), Month(breakdowns.[Date]
Related
I need to determine the counts breakdown to per month (and year) of customers [alias'ed as Patient_ID] which made their first visit to a store. The date times of store visits are stored in the [MDT Review Date] column of the table.
Customers can come to the store multiple times throughout the year and increase the total count-> but what I require is ONLY the first time a customer visited.
E.g. Tom Bombadil visited the store once in January 2019, so count increased to 1, then again 4 times in March, so count should be 1 for the month of March and 0 for febraury and 1 for January, then again 4 times in October, then again 2 times in December.
I require that Tom Bombadil should be counted one and only once for a particular month, his first occurrence which was per month
The output should be like :
rn1 YEAR Month_Number Month Total_Count
1 2010 6 June 2
1 2010 7 July 1
1 2010 8 August 5
1 2010 10 October 5
1 2010 11 November 3
1 2011 1 January 4
1 2011 2 February 6
1 2011 4 April 7
1 2011 5 May 4
1 2011 6 June 10
1 2011 7 July 10
1 2011 8 August 14
1 2011 9 September 4
1 2011 10 October 8
1 2011 11 November 11
1 2011 12 December 11
1 2012 1 January 8
1 2012 2 February 21
Please refer to my query. What I have attempts to use the windowing function COUNT to count the store visits per month. Then the ROW_NUMBER function attempts to assign a unique number to each visit. What am I doing wrong?
select
*
from
(select distinct
row_number() over (partition by p.Patient_ID, p.PAT_Forename1, p.PAT_Surname
order by PAT_Forename1, p.Patient_ID, PAT_Surname) AS rn1,
datepart(year, [DATE_COLUMN]) as YEAR,
datepart(month, [DATE_COLUMN]) as Month_Number,
datename(month,[DATE_COLUMN]) as Month,
count(p.Patient_ID) over (partition by datepart(year,[DATE_COLUMN]),
datename(month, [DATE_COLUMN])) as Total_Count
from
Tablename m
inner join
TableName p on m.PK_ID = p.PK_ID
) as temp
where
rn1 = 1
I am dealing with a sales order table (ORDER) that looks roughly like this (updated 2018/12/20 to be closer to my actual data set):
SOID SOLINEID INVOICEDATE SALESAMOUNT AC
5 1 2018-11-30 100.00 01
5 2 2018-12-05 50.00 02
4 1 2018-12-12 25.00 17
3 1 2017-12-31 75.00 03
3 2 2018-01-03 25.00 05
2 1 2017-11-25 100.00 17
2 2 2017-11-27 35.00 03
1 1 2017-11-20 15.00 08
1 2 2018-03-15 30.00 17
1 3 2018-04-03 200.00 05
I'm able to calculate the average sales by SOID and SOLINEID:
SELECT SUM(SALESAMOUNT) / COUNT(DISTINCT SOID) AS 'Total Sales per Order ($)',
SUM(SALESAMOUNT) / COUNT(SOLINEID) AS 'Total Sales per Line ($)'
FROM ORDER
This seems to provide a perfectly good answer, but I was then given an additional constraint, that this count be done by year and month. I thought I could simply add
GROUP BY YEAR(INVOICEDATE), MONTH(MONTH)
But this aggregates the SOID and then performs the COUNT(DISTINCT SOID). This becomes a problem with SOIDs that appears across multiple months, which is fairly common since we invoice upon shipment.
I want to get something like this:
Year Month Total Sales Per Order Total Sales Per Line
2018 11 0.00
The sore thumb sticking out is that I need some way of defining in which month and year an SOID will be aggregated if it spans across multiple ones; for that purpose, I'd use MAX(INVOICEDATE).
From there, however, I'm just not sure how to tackle this. WITH? A subquery? Something else? I would appreciate any help, even if it's just pointing in the right direction.
You should select Year() and month() for invocedate and group by
SELECT YEAR(INVOICEDATE) year
, MONTH(INVOICEDATE) month
, SUM(SALESAMOUNT) / COUNT(DISTINCT SOID) AS 'Total Sales per Order ($)'
, SUM(SALESAMOUNT) / COUNT(SOLINEID) AS 'Total Sales per Line ($)'
FROM ORDER
GROUP BY YEAR(INVOICEDATE), MONTH(INVOICEDATE)
Here are the results, but the data sample does not have enuf rows to show Months...
SELECT
mDateYYYY,
mDateMM,
SUM(SALESAMOUNT) / COUNT(DISTINCT t1.SOID) AS 'Total Sales per Order ($)',
SUM(SALESAMOUNT) / COUNT(SOLINEID) AS 'Total Sales per Line ($)'
FROM DCORDER as t1
left join
(Select
SOID
,Year(max(INVOICEDATE)) as mDateYYYY
,Month(max(INVOICEDATE)) as mDateMM
From DCOrder
Group By SOID
) as t2
On t1.SOID = t2.SOID
Group by mDateYYYY, mDateMM
mDateYYYY mDateMM Total Sales per Order ($) Total Sales per Line ($)
2018 12 87.50 58.33
I have used new SQL still MAX(INVOICEDATE)(not above), with new 12/20 data, and excluded AC=17.
YYYY MM Total Sales per Order ($) Total Sales per Line ($)
2017 11 35.00 35.00
2018 1 100.00 50.00
2018 4 215.00 107.50
2018 12 150.00 75.00
I have two tables client and grouping. They look like this:
Client
C_id
C_grouping_id
Month
Profit
Grouping
Grouping_id
Month
Profit
The client table contains monthly profit for every client and every client belongs to a specific grouping scheme specified by C_grouping_id.
The grouping table contains all the groups and their monthly profits.
I'm struggling with a query that essentially calculates the monthly residual for every subscriber:
Residual= (Subscriber Monthly Profit - Grouping monthly Profit)*(average subscriber monthly profits for all months / average profits for all months for the grouping subscriber belongs to)
I have come up with the following query so far but the results seem to be incorrect:
SELECT client.C_id, client.C_grouping_Id, client.Month,
((client.Profit - grouping.profit) * (avg(client.Profit)/avg(grouping.profit))) as "residual"
FROM client
INNER JOIN grouping
ON "C_grouping_id"="Grouping_id"
group by client.C_id, client.C_grouping_Id,client.Month, grouping.profit
I would appreciate it if someone can shed some light on what I'm doing wrong and how to correct it.
EDIT: Adding sample data and desired results
Client
C_id C_grouping_id Month Profit
001 aaa jul 10$
001 aaa aug 12$
001 aaa sep 8$
016 abc jan 25$
016 abc feb 21$
Grouping
Grouping_id Month Profit
aaa Jul 30$
aaa aug 50$
aaa Sep 15$
abc Jan 21$
abc Feb 27$
Query Result:
C_ID C_grouping_id Month Residual
001 aaa Jul (10-30)*(10/31.3)=-6.38
... and so on for every month for avery client.
This can be done in a pretty straight forward way.
The main difficulty is obviously that you try to deal with different levels of aggregation at once (average of the group and the client as well as the current record).
This is rather difficult/clumsy with simple SELECT FROM GROUP BY-SQL.
But with analytical functions aka Window functions this is very easy.
Start with combining the tables and calculating the base numbers:
select c.c_id as client_id,
c.c_grouping_id as grouping_id,
c.month,
c.profit as client_profit,
g.profit as group_profit,
avg (c.profit) over (partition by c.c_id) as avg_client_profit,
avg (g.profit) over (partition by g.grouping_id) as avg_group_profit
from client c inner join grouping g
on c."C_GROUPING_ID"=g."GROUPING_ID"
and c. "MONTH" = g. "MONTH";
With this you already get the average profits by client and by grouping_id.
Be aware that I changed the data type of the currency column to DECIMAL (10,3) as a VARCHAR with a $ sign in it is just hard to convert.
I also fixed the data for MONTHS as the test data contained different upper/lower case spellings which prevented the join to work.
Finally I turned all column names into upper case to, in order to make typing easier.
Anyhow, running this provides you with the following result set:
CLIENT_ID GROUPING_ID MONTH CLIENT_PROFIT GROUP_PROFIT AVG_CLIENT_PROFIT AVG_GROUP_PROFIT
16 abc JAN 25 21 23 24
16 abc FEB 21 27 23 24
1 aaa JUL 10 30 10 31.666
1 aaa AUG 12 50 10 31.666
1 aaa SEP 8 15 10 31.666
From here it's only one step further to the residual calculation.
You can either put this current SQL into a view to make it reusable for other queries or use it as a inline view.
I chose to use it as a common table expression (CTE) aka WITH clause because it's nice and easy to read:
with p as
(select c.c_id as client_id,
c.c_grouping_id as grouping_id,
c.month,
c.profit as client_profit,
g.profit as group_profit,
avg (c.profit) over (partition by c.c_id) as avg_client_profit,
avg (g.profit) over (partition by g.grouping_id) as avg_group_profit
from client c inner join grouping g
on c."C_GROUPING_ID"=g."GROUPING_ID"
and c. "MONTH" = g. "MONTH")
select client_id, grouping_id, month,
client_profit, group_profit,
avg_client_profit, avg_group_profit,
round( (client_profit - group_profit)
* (avg_client_profit/avg_group_profit), 2) as residual
from p
order by grouping_id, month, client_id;
Notice how easy to read the whole statement is and how straight forward the residual calculation is done.
The result is then this:
CLIENT_ID GROUPING_ID MONTH CLIENT_PROFIT GROUP_PROFIT AVG_CLIENT_PROFIT AVG_GROUP_PROFIT RESIDUAL
1 aaa AUG 12 50 10 31.666 -12
1 aaa JUL 10 30 10 31.666 -6.32
1 aaa SEP 8 15 10 31.666 -2.21
16 abc FEB 21 27 23 24 -5.75
16 abc JAN 25 21 23 24 3.83
Cheers,
Lars
let be a query such as the following.
Select MONTH, sum(RECEIVABLES), sum(COLLECTED) from TABLE1 group by MONTH
result
MONTH RECEIVABLES COLLECTED
JANUARY 2 0
FEBRUARY 1 0
MARCH 3 0
Now, APRIL 4 get made COLLECTED ...
Question: APRIL 4 in value, starting from the first month , we distribute according to how COLLECTED column.
as follows
MONTH RECEIVABLES COLLECTED
JANUARY 2 2
FEBRUARY 1 1
MARCH 3 1
APRIL 0 0
With SQL or stored procedures...
thanks...
Im trying to figure out the total for the quarter when the only data shown is a running total for the year:
Id Amount Periods Year Type Date
-------------------------------------------------------------
1 65 2 2014 G 4-1-12
2 75 3 2014 G 7-1-12
3 25 1 2014 G 1-1-12
4 60 1 2014 H 1-1-12
5 75 1 2014 Y 1-1-12
6 120 3 2014 I 7-1-12
7 30 1 2014 I 1-1-12
8 90 2 2014 I 4-1-12
In the data shown above. The items in type G and I are running totals for the period (in qtrs). If my query returns period 3, is there a sql way to get the data for the qtr? The math would involve retrieving the data for the 3rd period - 2nd period.
Right now my sql is something like:
SELECT * FROM data WHERE Date='4-1-12';
In this query, it will return row #1, which is a total for 2 periods. I would like it to return just the total for the 2nd period. Im looking to make this happen with SQLite.
Any help would be appreciated.
Thank alot
You want to subtract the running total of the previous quarter:
SELECT Id,
Year,
Type,
Date,
Amount - IFNULL((SELECT Amount
FROM data AS previousQuarter
WHERE previousQuarter.Year = data.year
AND previousQuarter.Type = data.Type
AND previousQuarter.Periods = data.Periods - 1
), 0) AS Amount
FROM data
The IFNULL is needed to handle a quarter that has no previous quarter.