I'm a receptionist keeping track of incoming calls in MS-Access 2010. The table has Date column. I can get count of calls per day but am having trouble with SQL to get average calls per day.
Assuming your table has one record per call, you can use a query like this, just replace the table and field names:
SELECT Avg(TotalCalls.DailyCalls) AS AverageCalls
FROM
(
SELECT MyTable.MyDateField, Count(MyTable.MyDateField) AS DailyCalls
FROM MyTable
WHERE MyDate > #1-Feb-2017# AND MyDate <= #28-Feb-2017#
GROUP BY MyTable.MyDateField
) AS TotalCalls
This won't take into account days that have no calls, just the ones that do. The WHERE clause is optional, but you might want to use that to pick a specific date range.
Related
I have some related tables that I want to run a Totals/Group By query on.
My "Tickets" table has a field called "PickDate" which is the date that the order/ticket was fulfilled.
I want to group by the weekday (name) (a calculated field) so that results for certain customers on the same day of the week are grouped. Then the average ticket completion time can be calculated per customer for each weekday. It would look something like the following.
--CustName---Day---AvTime
Customer 1 - MON - 72.3
- TUE - 84.2
- WED - 110.66
..etc
..etc
..etc
Customer 2 ..
This works fine but the problem I am having is that when this query is run, it works on every record from the tickets table. There are some reasons that, for certain reports, the data that it the query is referencing should be restricted between a date range; for example to track a change in duration over a number of weeks.
In the query properties, there is a property, "filter", to which I can add a string such as:
"([qryCustomerDetails].[PickDate] Between #11/1/2021# And #11/14/2021#)"
to filter the results. The only issue is that since each date is unique, the "group by" of like days such as "Monday" is overridden by this unique date "11/1/2021". The query only works when the PickDate is removed as a field. However, then I can't access it to filter by it.
What I want to achieve would be the same as; in the "Tickets" table itself filtering the results between two dates and then having a query that could run on that filtered table.
Is there any way that I could achieve this?
For reference here is the SQL of the query.
FROM tblCustomers INNER JOIN tblTickets ON tblCustomers.CustomerID = tblTickets.CustomerID
GROUP BY tblCustomers.Customer, WeekdayName(Weekday([PickDate]),False,1), tblCustomers.Round, Weekday([PickDate])
ORDER BY tblCustomers.Round, Weekday([PickDate]);
You probably encountered two issues. The first issue is that to filter results in a totals query by un totaled fields you use HAVING rather than WHERE. the second issue is that calculated fields like Day don't exist at the time of the query. You can't say having Day > Mon. Instead you must repeat the calculation of Day: Having CalculateDay(PickDate) > Monday
The designer will usually figure out whether you want having or where automatically. So here is my example:
this gives you the SQL:
SELECT Tickets.Customer, WeekdayName(Weekday([PickDate])) AS [Day], Avg(Tickets.Time) AS AvTime
FROM Tickets
GROUP BY Tickets.Customer, WeekdayName(Weekday([PickDate])), Tickets.PickDate
HAVING (((Tickets.PickDate) Between #11/16/2021# And #11/17/2021#))
ORDER BY Tickets.PickDate;
I have a working query which takes too long to run. It is being used to populate an Access form field with a list of distinct contracts ordered by their start date.
The following query returns a list of distinct contract start dates for multiple commodities (which share contract start dates) where the contract start date (DELSTART) is greater or equal to the current date (PRICEDATE).
The function returndelivery returns a date attribute of the contract converted to a double, the function returnnumericdate just returns a double from a date (yyyymmdd).
SELECT DISTINCT (tblFuturesPrices.Period),
returnnumericdate(returndelivery([PERIOD],"S")) AS DELSTART,
ReturnNumericDate(Date()) AS PRICEDATE
FROM tblFuturesPrices
WHERE returnnumericdate(returndelivery([PERIOD],"S")) >= ReturnNumericDate(Date())
GROUP BY PERIOD
ORDER BY returnnumericdate(returndelivery([PERIOD],"S"));
Ideally I would like to refer to the variables DELSTART and PRICEDATE in the where clause but Access prompts for a variable value when I do so. I think the query takes longer than it should because I'm having to use my user defined functions numerous times.
The source table (tblFutures) contains prices for each commodity / contract for working days going back 6 months.
Thanks in advance.
I think the query takes longer than it should because I'm having to
use my user defined functions numerous times.
That's it. But you can reduce those functions:
returnnumericdate(returndelivery([PERIOD],"S")) >= ReturnNumericDate(Date())
will be no different from
returndelivery([PERIOD],"S") >= Date()
Don't know what returndelivery does.
Addendum:
Filter on the raw data and create a new function returndeliverydate that does the same as returndelivery except returns a Date value:
SELECT
tblFuturesPrices.Period,
returndeliverydate([PERIOD],"S") AS DELSTART,
Date() AS PRICEDATE
FROM
tblFuturesPrices
WHERE
returndeliverydate([PERIOD],"S") >= Date()
Save this query and use it as source in a new query:
Select Distinct
DELSTART,
PRICEDATE
FROM
YourQuery
I have an MS Access database table datetime column. When I select a particular month (say, July), I have to get datewise data in that month.
The output should appear in the same format as the attached image.
Every Employee who comes in on a particular date should display “P” for that day. If the Employee doesn’t come in on a particular day (like Sat or Sun), then I have to display “WO” for that day.
When an Employee has not come in (like Sat or Sun), then there is no entry in the log table for that date.
How could an Access query be written to obtain this output? I am using an MS Access 2003 database.
Edit: we have to use TRANSFORM and PIVOT, but the issue is when an employee is not available (Sat, Sun) we still need to show data in the output.
Set up a query that reads EmpID and CheckTime from the first table, and adds one additional column:
DateWise: IIf(Weekday([CheckTime])=1 Or Weekday([CheckTime])=7,"WO","P")
You will need an additional table with every date of the year in it (we'll call it YearDates). Left join that table to your query like so:
Select YD.YearDates, Q2.* from YearDates YD LEFT JOIN Query2 Q2 ON YD.YearDates = DATEVALUE(Q2.CheckTime)
The DATEVALUE will strip the time off your dates in CheckTime so they will match date against date.
I am new to SQL. I was given a coursework to report data of usage over the last 2 month. Can someone help me with the SQL statement?
SELECT COUNT(Member_ID,Non_Member_Name) AS Pool_usage_last_2_months
FROM Use_of_pool
WHERE DATEDIFF(‘2012-04-21’,’2012-02-21’)
What I meant to do is to count the total number of member usage(member_ID) and non member usage(no ID,name only) from the last two months and then output the name and date and time,etc. on the same report. Is there any SQL statement to output that kind of information? Correction/Suggestions are welcomed.
You need a different WHERE clause. Assuming your Use_of_pool table includes a Date/Time field, date_field:
WHERE date_field >= #2012-02-21# AND date_field <= #2012-04-21#
If date_field values can include a time component other than midnight, advance the end date range by one day to capture all the possible Date/Time values from Apr. 21:
WHERE date_field >= #2012-02-21# AND date_field <= #2012-04-22#
That should restrict the rows to match what I think you want. It should offer fast performance with an index on date_field.
I'm unclear about the count(s) you want ... whether it is to be one count for all visits (both member and non-member), or separate counts for members and non-members.
Edit: If each row of the table represents a visit by one person, you can simply count the rows to determine the number of visits during your selected time frame.
SELECT Count(*) AS CountOfVisits
FROM Use_of_pool
WHERE date_field >= #2012-02-21# AND date_field <= #2012-04-21#
Notice each visit by the same person will contribute to CountOfVisits, which is what I think you want. If you wanted to know how many different people visited, we will need a different approach.
Edit2:
It sounds like you can use Member_ID and Non_Member_Name to distinguish between member and nonmember visits. Member_ID is Null for nonmembers and non-Null for members. And Non_Member_Name is Null for members and non-Null for nonmembers.
If that is true, try this query to count member and nonmember visits separately.
SELECT
Sum(IIf(Member_ID Is Not Null, 1, 0)) AS member_visits,
Sum(IIf(Non_Member_Name Is Not Null, 1, 0)) AS non_member_visits
FROM Use_of_pool
WHERE date_field >= #2012-02-21# AND date_field <= #2012-04-21#
Aggregate functions of SQL use all the data in a column (more precisely, all the data your WHERE clause selects) to produce a single datum. COUNT gives you the number of data rows that matched your WHERE clause. So for example:
SELECT COUNT(*) AS Non_members FROM Use_of_pool WHERE Member_ID IS NULL
will give you the number of times the pool was used by a non-member, and
SELECT COUNT(DISTINCT Member_ID) AS Members FROM Use_of_pool
will give you the number of members who have used the pool at least once (the DISTINCT tells the database engine to ignore duplicates when counting).
You can expand the WHERE clause to further specify what you want to count. If "last two months" means the current and previous calendar month, you'll need:
... WHERE DateDiff("m",Date_field,Date())<=1
If it means a rolling 2-month period, I'd approximate that with 60 days and say
... WHERE DateDiff("d",Date_field,Date())<60
(Replace Date_field with the name of the field containing the date.)
If you want to count rows according to multiple different criteria, or output both aggregate data and individual data, you'll be best off using separate SELECT statements.
I've got a table with purchase orders stored in it. Each row has a timestamp indicating when the order was placed. I'd like to be able to create a report indicating the number of purchases each day, month, or year. I figured I would do a simple SELECT COUNT(xxx) FROM tbl_orders GROUP BY tbl_orders.purchase_time and get the value, but it turns out I can't GROUP BY a timestamp column.
Is there another way to accomplish this? I'd ideally like a flexible solution so I could use whatever timeframe I needed (hourly, monthly, weekly, etc.) Thanks for any suggestions you can give!
This does the trick without the date_trunc function (easier to read).
// 2014
select created_on::DATE from users group by created_on::DATE
// updated September 2018 (thanks to #wegry)
select created_on::DATE as co from users group by co
What we're doing here is casting the original value into a DATE rendering the time data in this value inconsequential.
Grouping by a timestamp column works fine for me here, keeping in mind that even a 1-microsecond difference will prevent two rows from being grouped together.
To group by larger time periods, group by an expression on the timestamp column that returns an appropriately truncated value. date_trunc can be useful here, as can to_char.