In a form on Ms ACCESS, a user can select a commodity (such as copper, nickel, etc.) from a list and a commodity price date from a list. A trailing 12 month average commodity price should then be calculated.
For example: the user selects Copper as commodity and February 1st 2010, 02/01/2010. I then want the average price to be calculated over the time period: [02/01/2009 - 02/01/2010].
I'm not sure how to write this in query form. This is the current incomplete code;
SELECT Avg(CommPrices.Price) AS Expr1,
FROM CommPrices
WHERE (((CommPrices.Commodity)=[Forms]![Tool Should Cost]![List243]))
AND CommPrices.DateComm = [Forms]![Tool Should Cost]![List55];
List243 is the list of commodities the user can select from, list55 is the list of dates the user can select. All data is obtained from the table CommPrices.
Note: the earliest dates in the column DateComm is 01/01/2008. So if the user selects a date for example 02/01/2008, then calculating the average over the past 12 months before 02/01/2008 won't be possible. I do want the code to still calculate the average using the dates available. (in the example it would just be the average over the past month)
Second Note: the column DateComm only has monthly dates for the first day of every month (e.g 01/01/2008, 02/01/2008, 03/01/2008). The dates listed in list55 can refer to different days in the month (e.g 03/16/2009), in that case I want the code to still calculate the past 12 month average using the closest commodity dates possible. So if the user selects date 03/16/2009, I want the code to calculate the 12 month average for 03/01/2008 - 03/01/2009.
For "integer" months it would be:
SELECT
Avg(CommPrices.Price) AS AveragePrice,
FROM
CommPrices
WHERE
CommPrices.Commodity=[Forms]![Tool Should Cost]![List243]
AND
CommPrices.DateComm = BETWEEN
DateSerial(Year([Forms]![Tool Should Cost]![List55]) - 1, Month([Forms]![Tool Should Cost]![List55]), 1)
AND
DateSerial(Year([Forms]![Tool Should Cost]![List55]), Month([Forms]![Tool Should Cost]![List55]), 1)
Related
I am trying to produce a query in SQLite where I can determine the average sales made each weekday in the year.
As an example, I'd say like to say
"The average sales for Monday are $400.50 in 2017"
I have a sales table - each row represents a sale you made. You can have multiple sales for the same day. Columns that would be of interest here:
Id, SalesTotal, DayCreated, MonthCreated, YearCreated, CreationDate, PeriodOfTheDay
Day/Month/Year are integers that represent the day/month/year of the week. DateCreated is a unix timestamp that represents the date/time it was created too (and is obviously equal to day/month/year).
PeriodOfTheDay is 0, or 1 (day, or night). You can have multiple records for a given day (typically you can have at most 2 but some people like to add all of their sales in individually, so you could have 5 or more for a day).
Where I am stuck
Because you can have two records on the same day (i.e. a day sales, and a night sales, or multiple of each) I can't just group by day of the week (i.e. group all records by Saturday).
This is because the number of sales you made does not equal the number of days you worked (i.e. I could have worked 10 saturdays, but had 30 sales, so grouping by 'saturday' would produce 30 sales since 30 records exist for saturday (some just happen to share the same day)
Furthermore, if I group by daycreated,monthcreated,yearcreated it works in the sense it produces x rows (where x is the number of days you worked) however that now means I need to return this resultset to the back end and do a row count. I'd rather do this in the query so I can take the sales and divide it by the number of days you worked.
Would anyone be able to assist?
Thanks!
UPDATE
I think I got it - I would love someone to tell me if I'm right:
SELECT COUNT(DISTINCT CAST(( julianday((datetime(CreationDate / 1000, 'unixepoch', 'localtime'))) ) / 7 AS INT))
FROM Sales
WHERE strftime('%w', datetime(CreationDate / 1000, 'unixepoch'), 'localtime') = '6'
AND YearCreated = 2017
This would produce the number for saturday, and then I'd just put this in as an inner query, dividing the sale total by this number of days.
Buddy,
You can group your query by getting the day of week and week number of day created or creation date.
In MSSQL
DATEPART(WEEK,'2017-08-14') // Will give you week 33
DATEPART(WEEKDAY,'2017-08-14') // Will give you day 2
In MYSQL
WEEK('2017-08-14') // Will give you week 33
DAYOFWEEK('2017-08-14') // Will give you day 2
See this figures..
Day of Week
1-Sunday, 2- Monday, 3-Tuesday, 4-Wednesday, 5-Thursday, 6-Saturday
Week Number
1 - 53 Weeks in a year
This will be the key so that you will have a separate Saturday's in every month.
Hope this can help in building your query.
I have a table in a data model that has forecast figures for the next 3 months. What I want to do is to show what the forecast number for the current month to date is.
When I use the DATESMTD function like this:
=CALCULATE(SUM(InternetSales_USD[SalesAmount_USD]),DATESMTD(DateTime[DateKey]))
I get the last month of my data summarised as a total. I assume that is because the DATESMTD function takes the last date in the column and that is 3 months away.
How do I make sure I get this current month MTD total rather then the end of the calendar? The formula should be clever enough to realise I am in May and want the May MTD not the August MTD.
Any ideas?
The way to do this is to do this:
Forecast_Transaction_MTD:=CALCULATE(sum('ATO Online'[2017 Transaction Forecast]), DATESINPERIOD('ATO Online'[Current Year],TODAY(),-day(TODAY()),day))
the last -day(TODAY()) gets the day number for the current day and subtract it from today's date. So, today is the 25 May. the -day(TODAY())),day)) extracts the day (25) and subtracts it from the current date to get me to the 1 May.
The rest of the formula just adds the total for the dates.
I have a Month Column with the Month Field populated for each line for the 100K of lines of data I have.
I need to count the amount of times the Month Field is populated in the Previous Month (Period).
I also need to count the total amount of times the Month Field is populated in the Previous 11 months as well.
This is a rolling count for each months reporting that I do..
table name: 'ws pds' and field name [Month Tagged]
You can utilize the powerful time intelligence functions in DAX such as PARRALLELPERIOD to look at values from previous months. But in order to make use of these functions you need to create a calendar/date entity. Mark that entity as a Date table. And join to it by date from your "ws pds" table. The Date dimension should span the timeframe of your date with a continuous list of dates, one row per day.
Then your measure could look like this:
PreviousMonthCount=
CALCULATE (
COUNTROWS ( 'ws pds' ),
'ws pds'[Month Tagged] <> BLANK (),
PARALLELPERIOD ( Calendar[Date], -1, MONTH )
)
I'm trying to create a query that can return the previous quarter balance for a series of records.
I have financial data for accountid (acctid), fiscal year (fyear), fiscal quarter (fquarter) and fiscal period (fperiod) that I'm summing and tracking through a series of other queries that I'm dropping in to a temporary table, that data includes the net change for the period (nperiod), net change for the quarter (nquarter) and net change for the year (nyear). Net change for the period is only the account transactions in the period, net change for the quarter is the cumulative total of the transactions that appear in periods 1-3, 4-6, 7-9 and 10-12 respectively (amount from previous periods are not calculated in proceeding quarters, ie the net change for the quarter resets to $0 for periods 4, 7 and 9) and the net change for the year is the total cumulative sum. I'm now trying to create a sql statement that returns the previous quarter end balance.
So for periods 1-3 I need to write a separate select statements to return the ending balance for the previous year, for periods 4-6 I want them ALL to return the net change for the quarter from period 3, for 7-9 I want to return the net change for the quarter from period 6 for all records and for period 10-12 I want to return net change for the quarter from period 9.
Can I get some assistance because I have a gigantic query that returns the max period per quarter, then the nquarter amount associated with that period and then trying to do a where exists, but something tells me there's a better way to do it.
Thanks!
Working on an SSAS Tabular project in Visual Studio 2010;
I'm trying to create a measure that calculates the total number of business days in a month:
I have Month Start Date and Month End Date measures, and Date and Is Business Day columns.
I can create a Total Business Days measure with COUNTROWS(FILTER(Dates,Dates[Is Business Day]=TRUE())). That gives me the number of business days in the context, but I want the number of business days for the current month.
I've tried various combinations of FILTER, COUNT, COUNTX, COUNTROWS, DATESBETWEEN, and CALCULATE without success.
What I want is a count of days between two dates, where the column [Is Business Day] is true, but I can't seem to get the right combination of filtering.
I would guess I filter the Dates table the way I do for the Total Business Days measure, but FILTER returns a table and COUNTROWS expects a single column - is there a way to get single column from a FILTER result?
Here's one thought...
First, create a calculated column called MonthKey (if you don't have it already):
=YEAR([Date]) * 100 + MONTH([Date])
Then create another calculated column called IsCurrentMonth
=IF(YEAR(TODAY()) * 100 + MONTH(TODAY()) = [MonthKey], 1, 0)
Then you can create your calculated measure as
COUNTROWS(FILTER(Dates,Dates[IsCurrentMonth] = 1))
Would that do what you need?