Given Issue Raised day and count, how can we come up with the calculation of Datediff, and the output table with MTBF for each month? Thanks a lot.
Raw data
Issue Raised | Count | Datediff
1/12/22 1 12
2/23/22 1 42
4/1/22 2 37
4/7/22 1 6
Output table
Month | MTBF
Jan 12/1=12
Feb 42/1=42
Mar
Apr (37+6)/(2+1)=14.33
As mentioned you could use a group by function to aggregate by month, year and then do your calculations. Here is something that might work for you, however I am uncertain of your DBMS.
SELECT
FORMAT(ISSUERAISED, 'MM-yyyy') AS Month_Year
,SUM("Count") AS "Count"
,SUM("DateDiff") AS "DATEDIFF"
, SUM(CAST("DateDiff" AS DECIMAL(7,4))) / SUM(CAST("Count" AS DECIMAL(7,4))) AS MTBF
FROM YOURTABLE
GROUP BY FORMAT(ISSUERAISED, 'MM-yyyy')
I have the following table in Microsoft Access
TransactionDate
Market
Details
Opening
Closing
Size
Profit/Loss
I want to run a query that shows the Profit/Loss for each month.
I have been able get a query that returns the information in the following format
TransactionDate By Month Sum Of Sum Of Profit/Loss
April 2014 €1,084.99
April 2015 €674.33
April 2016 €2,057.30
August 2014 €237.59
August 2015 -€267.82
December 2014 €375.88
December 2015 -€1,161.97
February 2015 -€603.87
February 2016 -€124.71
January 2015 €75.11
January 2016 -€1,044.35
But what I want now is for it to display in chronological order as oppose to Alphabetical order.
For example
January 2014
February 2014
March 2014
etc.
I will consider that your TransactionDate field is defined as String
If you want to order by this text field in Access, you will have to use DateValue() function.
That would give:
SELECT TransactionDate FROM yourTable ORDER BY DateValue(TransactionDate)
If your field is already formatted as a Date field, then simply use order by TransactionDate to make it work.
I am trying to group some data in SQL Server. However not sure if there is a query that can do this. Below is the original data
Type Number Date Result
Car 6664441111 Feb 22 2016 IVR Detected
Car 6664441111 Feb 22 2016 Answered
Lab 5552221111 Feb 22 2016 No Answer
Lab 5552221111 Feb 22 2016 Hangup
Lab 5552221111 Feb 22 2016 Answered
I would like to know a query that can do this:
Type Number Date Result
Car 6664441111 Feb 22 2016 IVR Detected
6664441111 Feb 22 2016 Answered
Lab 5552221111 Feb 22 2016 No Answer
5552221111 Feb 22 2016 Hangup
5552221111 Feb 22 2016 Answered
I am using SQL Server. Thank you in advance
Assuimg your data is sorted already and doesn't need to be sorted to make your logic happen you could use a row_number window function:
select
CASE WHEN row_num = 1 THEN type END AS type, number, date, result
from (
select type, number, date, result, row_number() over (partition by type) AS row_num
from t
) x
If you need to order your data to appear like in your example, you need to add order by within window function.
I have a column which states month and year YYYY MM. I've separated those into two columns (Year and Month). The problem is, the year is the calendar year whereas ideally I need the fiscal year I use (Apr 01 to Mar 31 - This will never change).
Other solutions I've seen are based on date format, whereas my original column is string.
I need a statement that returns the fiscal year for my new year column instead of the calendar year.
My current statement is:
Select Month,
parsename(replace(Month,' ','.'),1) as MonthM,
parsename(replace(Month,' ','.'),2) as Year
FROM TblTrade
Which works to separate the columns.
So expected results would be for example:
Feb 15 becomes Feb and 2015.
Apr 15 becomes Apr and 2016.
Please advise.
Sql server:
declare #date datetime = getdate();
select
(YEAR(DATEADD(Month,-((DATEPART(Month,#date)+5) %12),#date))) AS Financial_Year
Assuming April is month 1
Try this
select case
when to_char(to_date(column_name,'yyyy mm'),'mm') between 01 and 03
then to_char(trunc(to_date(column_name,'yyyy mm')),'yyyy')-1
else to_number(to_char(trunc(to_date(column_name,'yyyy mm')),'yyyy')) end
fiscal_year
from table_name
I'm using oracle db
This will work when column is string and has valid data i.e date in format like yyyy mm
Since you've read those other articles (you should really mention what research you've done in your question) and you're still having problems, I've had a play for you.
If I understand correctly, you have a varchar with YYYY MM eg
2015 01
2015 02
2015 03
2015 04
etc And you want
Jan 2014
Feb 2014
Mar 2014
Apr 2015
Here goes...
Setup some test data
DROP TABLE IF EXISTS #Test;
WITH Dates AS (
SELECT CAST(GETDATE() AS DATE) AS Date
UNION ALL
SELECT DATEADD(MONTH, -1, Date) FROM Dates
WHERE Date > '20140101'
)
SELECT DISTINCT
CONVERT(VARCHAR(4), YEAR(Date)) + ' ' +RIGHT(CONVERT(VARCHAR(6), Date, 112), 2) YearMonth
INTO #Test
FROM Dates
OPTION (MAXRECURSION 0);
SELECT * FROM #Test
YearMonth
---------
2013 12
2014 01
2014 02
2014 03
2014 04
2014 05
etc
Find Fiscal Year
SELECT
LEFT(YEARMONTH, 4) Year
,RIGHT(YEARMONTH, 2) Month
,LEFT(DATENAME(MONTH , DateAdd( month , CONVERT(INT,RIGHT(YEARMONTH, 2)) , -1 )), 3) MonthName
,IIF(CONVERT(INT, RIGHT(YEARMONTH, 2)) >= 4, CONVERT(INT,LEFT(YEARMONTH, 4)), CONVERT(INT,LEFT(YEARMONTH, 4)-1 )) FiscalYear
FROM #TEST
Year Month MonthName FiscalYear
---- ----- --------- -----------
2013 12 Dec 2013
2014 01 Jan 2013
2014 02 Feb 2013
2014 03 Mar 2013
2014 04 Apr 2014
2014 05 May 2014
2014 06 Jun 2014
etc
You could put the year/month parsing in a sub query just to make the code cleaner and some of the nasty formatting could be replaced with FORMAT since you're on 2012.
Hope this is what you're after and helps.
Since you included the Tableau tag, I'll describe the Tableau approach -- which is a little different than the other answers since you tend to specify what you want to Tableau, and let its driver generate the necessary SQL for your database.
First, it will work best if you have a single field that has datatype DATE instead of separate fields for month and year.
You can then roll up dates to the nearest year, month, day etc (actually truncating to the beginning of the period) or extract specific parts of dates year, month, day etc as needed for grouping/display.
The added benefit of working with a true DATE datatype is that you can tell Tableau the beginning of your fiscal year for each data source, and it will sort dates appropriately. Just right click on a data source and set the date properties. You can also set the start of the week and the date format.
I would like to get a running tally of how many widgets were/are rented at any one time, by month, by year. Data is held in an MS Access 2003 db;
Table name: rent_table
Fields:
rentid
startdate
enddate
rentfee
rentcost
bookingfee
Something like; Count number of rentid's that fall between month/year, then group them?
e.g. if a widget was rented from 5th Jan 2014 to 8th April 2014 it would appear as a count in Jan, Feb, Mar and April tally's.
Many thanks.
EDIT
More details (sorry);
Access db is fronted by classic ASP.
If possible I don't want to create any new tables.
No input is required in order to run the report.
There are around 350-400 widgets that could be rented at any one time.
Each widget is rented exclusively.
Report output example;
Month | Year | NumRented
Jan 2014 86
Feb 2014 113
...
Can a query pick up dates within dates? So literally do a count of the table where date >Dec 31st 2013 AND <1st Feb 2014 (to grab a count for all of January 2014) and would that include the example of the rent starting on the 5th Jan? So I could just do twelve counts for each year?
create a calendar table, e.g.
table = cal_yyyymm with one column dt_yyyymm as numeric field
populate the table with ... say 5 or 10 years of data
201401 201402 201403 ... 60 or 120 rows, a small table
make a sql
Select
dt_yyyymm,
count(*) as cnt
From cal_yyyymm
Left Join rent_table
On format(startdate,"yyyymm") >= dt_yyyymm
And dt_yyyymm >= format(enddate,"yyyymm")
think about the complications in the data -- --
widget was rented from 5th Jan 2014 to 8th Jan 2014
and again rented from 11th Jan 2014 to 21st Jan 2014
does this count at 1 or 2 in the month?
if it is 1, then the sql gets more complicated because
the rent_table first needs to have its dates converted
to yyyymm format, and second needs to be de-duped on rentid,
and third then joined to cal_ On the dates...