I have a table with more than 20000 rows, In one of column i have month from jan 2014 to Dec 2014, and in another column i have a loan number. Most of the loan Numbers are reapeting every months,now i need to get only the loan Number which are apperead in all three monthy consecutively. For eg if i am getting data for current months i also wanted get data which are common in two months before the current months. The database that i m using is Access DB. Any adivice will be more than a help, Thanks in Advance.
SELECT Loans.LoanID, Sum(IIf([period]=[month],1,0)) AS CM, Sum(IIf([period]=[month]-1,1,0)) AS [m-1], Sum(IIf([period]=[month]-2,1,0)) AS [m-2]
FROM Loans
GROUP BY Loans.LoanID
HAVING (((Sum(IIf([period]=[month],1,0)))>1) AND ((Sum(IIf([period]=[month]-1,1,0)))>1) AND ((Sum(IIf([period]=[month]-2,1,0)))>1));
I used month as an integer, and didn't make any adjustment for months 1 and 2 to loop back and look at prior year - you should be able to modify this based on the actual format you are using for the month.
Related
I am a newcomer to SQL, I want to calculate the number of active vendors in the last 3 months (A vendor is considered to be active if there is at least one transaction with that vendor within a
certain timeframe)
The data getting from access the https://console.cloud.google.com/marketplace/product/iowa-department-of-commerce/iowa-liquor-sales?filter=category:analytics&filter=price:free&filter=solution-type:dataset&project=fiery-plate-322918&folder=&organizationId= dataset.
Thank you in advance <3
The table was updated on Jun 4, 2019. So there are no current data available of the last months.
vendor_number
FROM `bigquery-public-data.iowa_liquor_sales.sales`
where date>date_sub (current_date(),interval 3 month)
GROUP BY 1
returns no data.
Need help to get the data of particular format
We have a table which have a data which of production now we need to select the data of each day with particular time period which is differentiate between three shift A,B,C.
In our table we have a datetime column which capture's each seconds data now that data we need in shiftwise like 6am to 2pm is of A shift production count and 2pm to 10pm of shift B and 10pm to 6 am of shift C.
here i am getting the data for single day where i have written the below query which is working good.
select distinct(count(PRD_SERIAL_NUMBER)),(select convert(date,getdate())) as date,'B' as shift_name
from table_name
where status=02
and LAST_UPDATED_DATE
between (SELECT FORMAT(GETDATE(),'yyyy-MM-dd 14:01:00.000')) and
(SELECT FORMAT(GETDATE()-26,'yyyy-MM-dd 22:01:00.000'))
refer below output image 1
Here i am getting the count for single day and for upcoming days i have solution but now the question arise is i have a past 4 Month data which i need to get in datewise and shiftwise count and for the column prd_serial_number have duplicate entries so it should be in distinct.
please refer below image 2 for required output format
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)
I need to build a report which has week's sales data by department by date (which I have done using Matrix) and compare it to weeks sales last year. Report would be run weekly. I am wondering which approach would be most efficient:
1) generate separate data sets - 1) for 1 weeks data and 2) for 1
week a year ago and then compare these values;
2) create 1 data set for a period of 1 year + 1 week and insert
calculated fields in the data set;
3) create 1 data set for a period of 1 year + 1 week and insert
calculated fields with expressions inside the report
4) any other.
Thanks
If you tables are well indexed, then I'd suggest you go with the first approach - It'd reduce the data to be compared. I feel that pulling data from one year in past would be a less expensive than comparing 2 week's data out of one year's data.
You could use the week number of any given week to efficiently pull data for any week based on the date range.
I am novice with SSRS.
I have a report which should display 60 months (5 years displayed like Jan 1999, feb 1999 & so on till the end of 60 months) and its corresponding sales amount. I want to get averages for the first 12 months (i.e for the 1st year) and so on. Is it possible? My dataset just gives me all the 60 months row-by-row.I am using matrix for my report.
Thanks,
User007.
I would add some nested row grouping to the matrix. The higher-level group would be by year, which would allow you to have a row in the matrix that totals/averages all of the data for the year. The inner group would be by month, giving you the individual month rows as your dataset returns them.
Here is some information about defining and using groups