Formula for calculating the average takings for a given day in the week?
I would like to calculate the average takings for each day of the week for a given financial year.
Rick,
I've looked at your document, made some additions and returned it to you. In your document you were not only using AVERAGE, but also MIN and MAX. Unfortunately, MIN and MAX don't have "IF" versions, so they can't be used to selectively operate on data matching criteria in a range.
What I did to accommodate the need for MIN and MAX was to add a column for each criteria, in this case the different days of the week.
In your document you also indicated the need for a Chart to graphically summarize the performance by day of the week. I rearranged your summary stats table to facilitate creating a chart from that table. I chose the mixed category chart with Bars for Min and Max and a Line for Average.
Following are Screen Shots for the modified Data table, the Stats table and the Chart:
The key expressions are:
For Monday receipts:
=IF(WEEKDAY($B)=2, $G, "")
For Monday Minimum:
=MIN(INDIRECT("Ledger::"&CHAR(70+ROW())))
You had pre-filled Column A with 3-letter abbreviations of the Days of the Week. I am not sure this is important, since you could have formatted the Date (Column B) to show the same information, but I didn't like seeing the abbreviations for days that didn't have data entered yet so I replaced the text with an expression...
=IF(LEN(B)>0, LEFT(DAYNAME(WEEKDAY(B)), 3), "")
I seems that you may have filled the table with several months worth of rows of Mon, Tue, etc. Now, if you wish, you can trim the blank rows to just a few and add more as you need them.
Let me know if you have any questions about maintaining the document.
Jerry
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Hi all
I am writing some basic sql to generate some measures from a postgres database table that are going to be inserted into a SQL SErver table.
I have to two tasks where I am supposed to generate the average 6 months spend and average 1 year spend using the customer data but excluding the first time orders.
I have some sample data below:
CREATE TABLE orders
persistent_key_str character varying,
ord_id character varying(50),
ord_submitted_date date,
item_sku_id character varying(50),
item_extended_actual_price_amt numeric(18,2)
INSERT INTO orders VALUES ('01120736182','ORD6266073','2010-12-08','100856-01',39.90);
INSERT INTO orders VALUES('01120736182','ORD33997609','2011-11-23','100265-01',49.99);
INSERT INTO orders VALUES('01120736182','ORD33997609','2011-11-23','200020-01',29.99);
INSERT INTO orders VALUES('01120736182','ORD33997609','2011-11-23','100817-01',44.99);
INSERT INTO orders VALUES('01120736182','ORD89267964','2012-12-05','200251-01',79.99);
INSERT INTO orders VALUES('01120736182','ORD89267964','2012-12-05','200269-01',59.99);
INSERT INTO orders VALUES('01011679971','ORD89332495','2012-12-05','200102-01',169.99);
INSERT INTO orders VALUES('01120736182','ORD89267964','2012-12-05','100907-01',89.99);
INSERT INTO orders VALUES('01120736182','ORD89267964','2012-12-05','200840-01',129.99);
INSERT INTO orders VALUES('01120736182','ORD125155068','2013-07-27','201443-01',199.99);
INSERT INTO orders VALUES('01120736182','ORD167230815','2014-06-05','200141-01',59.99);
INSERT INTO orders VALUES('01011679971','ORD174927624','2014-08-16','201395-01',89.99);
INSERT into orders values('01000217334','ORD92524479','2012-12-20','200021-01',29.99);
INSERT into orders values('01000217334','ORD95698491','2013-01-08','200021-01',19.99);
INSERT into orders values('01000217334','ORD90683621','2012-12-12','200021-01',29.990);
INSERT into orders values('01000217334','ORD92524479','2012-12-20','200560-01',29.99);
INSERT into orders values('01000217334','ORD145035525','2013-12-09','200972-01',49.99);
INSERT into orders values('01000217334','ORD145035525','2013-12-09','100436-01',39.99);
INSERT into orders values('01000217334','ORD90683374','2012-12-12','200284-01',39.99);
INSERT into orders values('01000217334','ORD139437285','2013-11-07','201794-01',134.99);
INSERT into orders values('01000827006','W02238550001','2010-06-11','HL 101077',349.000);
INSERT into orders values('01000827006','W01738200001','2009-12-10','EL 100310 BLK',119.96);
INSERT into orders values('01000954259','P00444170001','2009-12-03','PC 100455 BRN',389.99);
INSERT into orders values('01002319116','W02242430001','2010-06-12','TR 100966',35.99);
INSERT into orders values('01002319116','W02242430002','2010-06-12','EL 100985',99.99);
INSERT into orders values('01002319116','P00532470001','2010-05-04','HO 100482',49.99);
Using the data, this is what I have done:
SELECT q.ord_year, avg( item_extended_actual_price_amt )
FROM (
SELECT EXTRACT(YEAR FROM ord_submitted_date) as ord_year, persistent_key_str,
min(ord_submitted_date) as first_order_date
FROM ORDERS
GROUP BY ord_year, persistent_key_str
) q
JOIN ORDERS o
ON q.persistent_key_str = o.persistent_key_str and
q.ord_year = EXTRACT (year from o.ord_submitted_date) and
o.ord_submitted_date > q.first_order_date AND o.ord_submitted_date < q.first_order_date + INTERVAL ' 6 months'
GROUP BY q.ord_year
ORDER BY q.ord_year
Can someone help me look into my query and see whether I am doing it the right way.
Thanks,
IonThis more looks like a mysql code. Please try posting the question in mysql forums
http://forums.mysql.com/
This is one way of doing this in T-SQL
CREATE TABLE orders
persistent_key_str varchar(100),
ord_id varchar(50),
ord_submitted_date date,
item_sku_id varchar(50),
item_extended_actual_price_amt numeric(18,2)
INSERT INTO orders VALUES ('01120736182','ORD6266073','2010-12-08','100856-01',39.90);
INSERT INTO orders VALUES('01120736182','ORD33997609','2011-11-23','100265-01',49.99);
INSERT INTO orders VALUES('01120736182','ORD33997609','2011-11-23','200020-01',29.99);
INSERT INTO orders VALUES('01120736182','ORD33997609','2011-11-23','100817-01',44.99);
INSERT INTO orders VALUES('01120736182','ORD89267964','2012-12-05','200251-01',79.99);
INSERT INTO orders VALUES('01120736182','ORD89267964','2012-12-05','200269-01',59.99);
INSERT INTO orders VALUES('01011679971','ORD89332495','2012-12-05','200102-01',169.99);
INSERT INTO orders VALUES('01120736182','ORD89267964','2012-12-05','100907-01',89.99);
INSERT INTO orders VALUES('01120736182','ORD89267964','2012-12-05','200840-01',129.99);
INSERT INTO orders VALUES('01120736182','ORD125155068','2013-07-27','201443-01',199.99);
INSERT INTO orders VALUES('01120736182','ORD167230815','2014-06-05','200141-01',59.99);
INSERT INTO orders VALUES('01011679971','ORD174927624','2014-08-16','201395-01',89.99);
INSERT into orders values('01000217334','ORD92524479','2012-12-20','200021-01',29.99);
INSERT into orders values('01000217334','ORD95698491','2013-01-08','200021-01',19.99);
INSERT into orders values('01000217334','ORD90683621','2012-12-12','200021-01',29.990);
INSERT into orders values('01000217334','ORD92524479','2012-12-20','200560-01',29.99);
INSERT into orders values('01000217334','ORD145035525','2013-12-09','200972-01',49.99);
INSERT into orders values('01000217334','ORD145035525','2013-12-09','100436-01',39.99);
INSERT into orders values('01000217334','ORD90683374','2012-12-12','200284-01',39.99);
INSERT into orders values('01000217334','ORD139437285','2013-11-07','201794-01',134.99);
INSERT into orders values('01000827006','W02238550001','2010-06-11','HL 101077',349.000);
INSERT into orders values('01000827006','W01738200001','2009-12-10','EL 100310 BLK',119.96);
INSERT into orders values('01000954259','P00444170001','2009-12-03','PC 100455 BRN',389.99);
INSERT into orders values('01002319116','W02242430001','2010-06-12','TR 100966',35.99);
INSERT into orders values('01002319116','W02242430002','2010-06-12','EL 100985',99.99);
INSERT into orders values('01002319116','P00532470001','2010-05-04','HO 100482',49.99);
/*SELECT q.ord_year, avg( item_extended_actual_price_amt )
FROM (
SELECT EXTRACT(YEAR FROM ord_submitted_date) as ord_year, persistent_key_str,
min(ord_submitted_date) as first_order_date
FROM ORDERS
GROUP BY ord_year, persistent_key_str
) q
JOIN ORDERS o
ON q.persistent_key_str = o.persistent_key_str and
q.ord_year = EXTRACT (year from o.ord_submitted_date) and
o.ord_submitted_date > q.first_order_date AND o.ord_submitted_date < q.first_order_date + INTERVAL ' 6 months'
GROUP BY q.ord_year
ORDER BY q.ord_year
with cte as
(select *, row_number() OVER( partition by persistent_key_str order by ord_submitted_date) RN from orders )--where ord_submitted_date between dateadd(month,6,getdate()) and getdate())
SELECT year(cte.ord_submitted_date),avg(cte.item_extended_actual_price_amt) FROM cte
where rn<>1
group by year(cte.ord_submitted_date)
Satheesh
My Blog |
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Finding the Weekend dates if its starting day of the week
Hello FOlks,
I have this requirement where if the sysdate is monday i need to get the Data from Friday until Sunday i.e. sysdate -3 to sysdate -1
Otherwise i need to get the previous day data. How can we acheieve that for below query based on created date??
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AND TRUNC (e.created_date) < ... That way, the optimizer can use an index on e.created_date, and it could be much faster.
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