How do I average the last 6 months of sales within SQL?
Here are my tables and fields:
IM_ItemWhseHistoryByPeriod.FISCALCALPERIOD,
IM_ItemWhseHistoryByPeriod.FISCALCALYEAR,
And I need to average these fields
IM_ItemWhseHistoryByPeriod.DOLLARSSOLD,
IM_ItemWhseHistoryByPeriod.QUANTITYSOLD,
The hard part I'm having is understanding how to average the last whole 6 months, ie. fsicalcalperiod 2-6(inside fiscalcalyear 2017).
I'm hoping for some help on what the SQL command text should look like since I'm very new to manipulating SQL outside of the UI.
Sample Data
My Existing SQL String:
SELECT IM_ItemWhseHistoryByPeriod.ITEMCODE,
IM_ItemWhseHistoryByPeriod.DOLLARSSOLD,
IM_ItemWhseHistoryByPeriod.QUANTITYSOLD,
IM_ItemWhseHistoryByPeriod.FISCALCALPERIOD,
IM_ItemWhseHistoryByPeriod.FISCALCALYEAR
FROM MAS_AME.dbo.IM_ItemWhseHistoryByPeriod
IM_ItemWhseHistoryByPeriod
ScaisEdge Attempt #1
if fiscalyear and fiscalperiod are number you could use
select avg(IM_ItemWhseHistoryByPeriod.DOLLARSSOLD) ,
avg(IM_ItemWhseHistoryByPeriod.QUANTITYSOLD)
from my_table
where IM_ItemWhseHistoryByPeriod.FISCALCALYEAR = 2017
and IM_ItemWhseHistoryByPeriod.FISCALCALPERIOD between 2 and 6
or for each item code
select itemcode, avg(IM_ItemWhseHistoryByPeriod.DOLLARSSOLD) ,
avg(IM_ItemWhseHistoryByPeriod.QUANTITYSOLD)
from my_table
where IM_ItemWhseHistoryByPeriod.FISCALCALYEAR = 2017
and IM_ItemWhseHistoryByPeriod.FISCALCALPERIOD between 2 and 6
group by itemcode
Try the following solution and see if it works for you:
select avg(DOLLARSSOLD) as AvgDollarSod,
avg(QUANTITYSOLD) as AvgQtySold
from IM_ItemWhseHistoryByPeriod
where FISCALCALYEAR = '2017
and FISCALCALPERIOD between 2 and 6
Related
I would like to run the below query that looks like this for week 1:
Select week(datetime), count(customer_call) from table where week(datetime) = 1 and week(orderdatetime) < 7
... but for weeks 2, 3, 4, 5 and 6 all in one query and with the 'week(orderdatetime)' to still be for the 6 weeks following the week(datetime) value.
This means that for 'week(datetime) = 2', 'week(orderdatetime)' would be between 2 and 7 and so on.
'datetime' is a datetime field denoting registration.
'customer_call' is a datetime field denoting when they called.
'orderdatetime' is a datetime field denoting when they ordered.
Thanks!
I think you want group by:
Select week(datetime), count(customer_call)
from table
where week(datetime) = 1 and week(orderdatetime) < 7
group by week(datetime);
I would also point out that week doesn't take the year into account, so you might want to include that in the group by or in a where filter.
EDIT:
If you want 6 weeks of cumulative counts, then use:
Select week(datetime), count(customer_call),
sum(count(customer_call)) over (order by week(datetime)
rows between 5 preceding and current row) as running_sum_6
from table
group by week(datetime);
Note: If you want to filter this to particular weeks, then make this a subquery and filter in the outer query.
I have several CSV's stored to query against. Each CSV represents a month of data. I would like to count all the records in each CSV and save that data to a table as a row in the table. For instance, the table that represents May should return something that looks like this with June following. The data starts in Feb 2018 and continues to Feb 2019 so year value would be needed as well.
Month Results
----------------
May 18 1170
June 18 1167
I want to run the same query against all the tables for purposes of efficiency. I also want the query to work with all future updates eg. a March 19 table gets added, and the query will still work.
So far, I have this query.
SELECT COUNT(*)
FROM `months_data.*`
I am querying in Google Big Query using Standard SQL.
It sounds like you just want an aggregation that counts rows for each month:
SELECT
DATE_TRUNC(DATE(timestamp), MONTH) AS Month,
COUNT(*) AS Results
FROM `dataset.*`
GROUP BY month
ORDER BY month
You can use the DATE_FORMAT function if you want to control the formatting.
You seem to need union all:
select 2018 as yyyy, 2 as mm, count(*) as num
from feb2018
union all
select 2018 as yyyy, 3 as mm, count(*)
from mar2018
union all
. . .
Note that you have a poor data model. You should be storing all the data in a single table with a date column.
Hi I have source data in a field in different formats like below
1Y3M6D (1 Year, 3 Months, 6 Days) I need to split this into 3 fields Year, Month, Days but the source data format can change like month can come first as 3M1Y6D OR source data can only have 3M with no year and day. How do I write a query to get the preceding number from M, Y or D?
Thanks in advance for help.
Thanks everyone, Unoembre command helped.
select my_value, REGEXP_SUBSTR(my_value,'(\d+)Y',1,1,NULL,1) REG_Y, REGEXP_SUBSTR(my_value,'(\d+)M',1,1,NULL,1) REG_M, REGEXP_SUBSTR(my_value,'(\d+)D',1,1,NULL,1) REG_D from ( select '3M6Y2D' my_value from dual );
Here is the query I have: I would like to display 6 periods back and 12 periods forward from the value in the PERIOD column:
SELECT
item_id,
min(period),
min(picks_class),
min(vau_class),
min(warehouse_code),
min(stocked)
FROM
(select
i.warehouse_code,
ih.item_id,
ih.picks_class,
ih.period,
ih.vau_class,
ih.stocked,
substr(i.pareto_set, 6, 6) AS "Policy"
from d_item_history ih
join d_item_snapshot i on ih.item_id=i.id
where ih.picks_class='P2'
and i.supplier_code='DC'
and ih.valid_for_calc='Y'
and ih.vau_class in ('C1', 'C2')
and i.warehouse_code='YAFD'
-- and ih.item_id='1427084842208'
order by ih.period asc
)
group by item_id
;
Here is the output of the code: I would like to display the picks class for each one of the ITEM_IDs; 6 periods back from queried period and 12 months forward.
Please let me know if that is at all possible if/or how. All help is appreciated
When you want to calculate 6 periods back or 12 periods forward, Are you looking to move by months ? If so, the following code snippet might help you :
select to_char(add_months(to_date(period,'YYYYMM'),-6),'YYYYMM') PERIOD_6,
to_char(add_months(to_date(period,'YYYYMM'),12),'YYYYMM')PERIOD_12
from dual
Is there any way to generate a custom sequential number like the following?
I want the Number to be incremented with grouping by the Code and Year.
Code Year Number
A 2016 1
A 2016 2
A 2016 3
B 2016 1
B 2016 2
C 2016 1
A 2017 1
A 2017 2
Any suggestion would be appreciated.
EDIT
Sorry, I was too ambiguous what I want. I want to generate the unique number when I query, so if I ask a new number in the above data context with Code:A and Year:2017, I want the Number to be 3. I guess to get the Number properly in a future I need to save the Code and Year with the Number.
Use ROW_NUMBER to assign Number per Code,Year grouping.
SELECT *,
Number = ROW_NUMBER() OVER(PARTITION BY Code, [Year] ORDER BY (SELECT NULL))
FROM tbl
Replace SELECT NULL with the column you want the order to be based from.