Today i have below problem while perform an sql query. Please find below data.
I perform SQL query on my table and get the below resulted output. i perform Group by on ID, Name, Week, Year, Days now i want the Days column as average of All Days based on year column. means there is multiple value of year is exist so i need Avg of Days data in all rows of DAYS for particular row. expected result as per below.
Thanks in Advance!!!
Write in comment if you have any query.
You can use OVER:
SELECT
*,
AVG(Days) OVER (PARTITION BY LEFT(Year, 4)) AvgDays
FROM
Tbl
Note: Just grouped by year (2016)
Related
I have written a query which is bring following data:
I want to further group it by month and year to bring total quiz and total pass for each month in the result set, I am stuck and i need help with this,
thank you
You can group by multiple columns
select QuizMont, QuizYear, .. aggregate values here
...
group by QuizMont, QuizYear
I have a large table containing c650,000 records. They are individuals with email addresses and one of the fields is 'dateOfApplication'. I have been asked for a breakdown of how many people signed up in each month.
I'd like the results to look something like
Month Year Total
1 2017 50763
2 2017 34725
And have made a target table in this format to put the results in. I've been able to use Month(dateOfApplication) to get the month component of the date using
SELECT DISTINCT
(SELECT COUNT(1) FROM [UG_Master]
WHERE MONTH([UG_Master].dateOfApplication) = '6') as Total
To return particular months, but don't really know how to get one row for each month it finds.
but don't really know how to get one row for each month it finds.
You can use GROUP BY :
SELECT MONTH([UG_Master].dateOfApplication), COUNT(1)
FROM [UG_Master]
GROUP BY MONTH([UG_Master].dateOfApplication);
If you want year wise months then include year also :
SELECT YEAR([UG_Master].dateOfApplication), MONTH([UG_Master].dateOfApplication), COUNT(1)
FROM [UG_Master]
GROUP BY YEAR([UG_Master].dateOfApplication), MONTH([UG_Master].dateOfApplication);
I need to write a SQL query in SQL Server, and I hope I can explain what I am after. I have several years of data. Here is a sample of some of the database.
What I am wanting to do is get the total number of Bovine for values New_Zealand per week.
So for week 2013-01-12 the total value would be 36080 (Sum of New Zealand where Animal is Bovine for that week). Repeat this for all weeks in the database.
I currently have this SQL select statement.
SELECT SUM(New_Zealand)
FROM Slaughter_Data
WHERE Animal = 'Bovine'
AND WeekEndingDate BETWEEN '2010-01-04' AND '2015-01-03'
AND New_Zealand IS NOT NULL
GROUP BY DATEPART(wk, WeekEndingDate)
This is wrong because it gives me 52 weeks, with all New_Zealand values summed where Animal = Bovine, and summed for that week across all years. I want it for each year. Can anyone tell me what I need to change?
I hope I have made myself clear and let me know if I haven't so I can clarify.
How about grouping by WeekEndingDate, since it will get your the number for that week in that year.
SELECT SUM(New_Zealand)
FROM Slaughter_Data
WHERE Animal = 'Bovine'
AND WeekEndingDate BETWEEN '2010-01-04' AND '2015-01-03'
AND New_Zealand IS NOT NULL
GROUP BY WeekEndingDate
I hope the title of this post makes sense.
The db in question has two columns that are related to my issue, a date column that follows the format xx/xx/xxxx and price a column. What I want to do is get a sum of the prices in the price column based on the month and year in which they occurred, but that data is in the other aforementioned column. Doing so will allow me to determine the total for a given month of a given year. The problem is I have no idea how to construct a query that would do what I need. I have done some reading on the web, but I'm not really sure how to go about this. Can anyone provide some advice/tips?
Thanks for your time!
Mike
I was able to find a solution using a LIKE clause:
SELECT sum(price) FROM purchases WHERE date LIKE '11%1234%'
The "11" could be any 2-digit month and the "1234" is any 4 digit year. The % sign acts as a wildcard. This query, for example, returns the sum of any prices that were from month 11 of year 1234 in the db.
Thanks for your input!
You cannot use the built-in date functions on these date values because you have stored them formatted for displaing instead of in one of the supported date formats.
If the month and day fields always have two digits, you can use substr:
SELECT substr(MyDate, 7, 4) AS Year,
substr(MyDate, 1, 2) AS Month,
sum(Price)
FROM Purchases
GROUP BY Year,
Month
So, the goal is to get an aggregate grouping by the month?
select strftime('%m', mydate), sum(price)
from mytable
group by strftime('%m', mydate)
Look into group by
I have an SQLite database with the following fields for example:
date (yyyymmdd fomrat)
total (0.00 format)
There is typically 2 months of records in the database. Does anyone know a SQL query to find a weekly average?
I could easily just execute:
SELECT COUNT(1) as total_records, SUM(total) as total FROM stats_adsense
Then just divide total by 7 but unless there is exactly x days that are divisible by 7 in the db I don't think it will be very accurate, especially if there is less than 7 days of records.
To get a daily summary it's obviously just total / total_records.
Can anyone help me out with this?
You could try something like this:
SELECT strftime('%W', thedate) theweek, avg(total) theaverage
FROM table GROUP BY strftime('%W', thedate)
I'm not sure how the syntax would work in SQLite, but one way would be to parse out the date parts of each [date] field, and then specifying which WEEK and DAY boundaries in your WHERE clause and then GROUP by the week. This will give you a true average regardless of whether there are rows or not.
Something like this (using T-SQL):
SELECT DATEPART(w, theDate), Avg(theAmount) as Average
FROM Table
GROUP BY DATEPART(w, theDate)
This will return a row for every week. You could filter it in your WHERE clause to restrict it to a given date range.
Hope this helps.
Your weekly average is
daily * 7
Obviously this doesn't take in to account specific weeks, but you can get that by narrowing the result set in a date range.
You'll have to omit those records in the addition which don't belong to a full week. So, prior to summing up, you'll have to find the min and max of the dates, manipulate them such that they form "whole" weeks, and then run your original query with a WHERE that limits the date values according to the new range. Maybe you can even put all this into one query. I'll leave that up to you. ;-)
Those values which are "truncated" are not used then, obviously. If there's not enough values for a week at all, there's no result at all. But there's no solution to that, apparently.