I want to get the average of days between some dates, for example, I have a table called Patient that has the id of the registration, patient's id, entry date and final date:
(1,1,'07-04-2014','08-04-2014'),
(2,2,'07-04-2014','07-04-2014'),
(3,3,'08-04-2014','10-04-2014'),
(4,4,'09-04-2014','10-04-2014')
I want to get the average of days of the entry fields, I have tried a lot of thing but I only get random results. I tried with dtiff but it needs two arguments and I only need one.
You could get the average DURATION between a fixed date and the date field. But averaging a date doesn't really make sense.
SELECT AVG(DATEDIFF(DD,'19700101',dateField)) AS avgDays
You could say the "average" date would then be: DATEADD(DD,avgDays,'19700101')
But I'm not sure if that makes sense in the context of what you're trying to do.
thanks for answering, maybe I couldn't express what I wanted to do but I found a solution and it was actually vey simple:
select Patient.Name, avg(day(Patient.FinalDate) - day(Patient.EntryDate)) as [Average] from Patient,DetailPatient where Patient.IdPatient=DetailPatient.IdPatiene group by DetailPatient.Name
I know it looks very simple haha, but is the first time I use avg function this way.
Thank you guys.
Related
I wanted to know if there was a way to extract data from a date column pertaining to an entire month.
SEL * FROM DB.TBLNAME TABLE
WHERE TABLE.DATE_ BETWEEN DATE '01-02-2022' AND DATE ' 28-02-2022'
So in the above query(wrote it here as an example so hope i didnt make any typo mistake) im searching for all dates from the 1st to the 28th of february but wanted to know if there was a more elegant method as to select a month match eg. 02-2022.
I hope my question was detailed enough.
Thanks in advance,
For this you could do something like this to make it easier to develop and change as you would need it
SELECT
*
FROM DB.TBLNAME TABLE
WHERE 1=1
AND MONTH(TABLE.DATE) = 2
AND YEAR(TABLE.DATE) = 2022
This is how I would normally do it as you would then be able to write a python script to go with it or a param to dynamically pull the data you need for the month/year
I desperately need some help from your brains to solve one SQL problem I have now.
I have a very simple table made of two columns: Client # and Purchasing Date.
I want to add one more column to show how many days have passed since the previous Purchasing Date per each Client #. Below is my current query to create the starting table.
select client_id, purchasing_date
from sales.data
The result looks like this (apparently, I need more reputation to post images):
https://imgur.com/a/IP1ot
The highlighted column on the right is the column I want to create.
Basically, that shows the number of days elapsed since the previous purchasing date of each Client #. For the first purchase of each Client, it will be just 0.
I'm not sure if I have explained enough to help you guys produce solutions - if you have any questions, please let me know.
Thanks!
Use lag():
select client_id, purchasing_date,
(purchasing_date -
lag(purchasing_date, 1, purchasing_date) over (partition by client_id
order by purchasing_date
)
) as day_diff
from sales.data
Long title, easy meaning:
How is it possible to extract from a date like "2014-04-04 10:47:30.000", which is stored in one column, it's components like year, month and day?
I'm not interested in the time.
For example, I have a table called "Incidents". Inside the table we got a column called "IncidentID" and a column called "ReportingDate", in which dates like the above-mentionend are stored. Let's say we have about 50k Incidents, therefore we have also 50k dates.
A year has 365 days. I want to query for the count of the Incidents, which were reported on different dates - for instance on the 5th of October 2013.
So: How can I get the components of the date and put them into another table while having own columns for the components and how can I query for the Incidents as well?
I guess at first I have to change the datatype of the date from DATETIME to DATE, but I'm not quite sure how to go further. May anyone help me while giving me a code and explains me what it does for a sql-noob? :-)
To achieve this
I want to query for the count of the Incidents, which were reported on
different dates - for instance on the 5th of October 2013.
you haven't do this:
I guess at first I have to change the datatype of the date from
DATETIME to DATE, but I'm not quite sure how to go further.
Just query
SELECT
IncidentID
FROM incidents
WHERE ReportingDate >= '20131005'
AND ReportingDate < '20131006'
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.
Suppose ,I have a table which has all the billing records. Now I want to see the sales trend for a user given time duration group by each 3 days ...what should be the sql query regarding this?
please help,Otherwise I am gone ...
I can only give a vague suggestion as per the question, however you may want to have a derived column with a standardised date (as per MS date format, just a number per day) that you could then use a modulus (3) on so that days are equal per 3 day period. You can then group and aggregate over this column to get the values for a 3 day period. Obviously to display the date nicely you would have to multiply back and convert your column as well.
Again I'm not sure of the specifics, but I think this general idea could be achieved to get a result (may well not be the best way so it would help to add more to the question...)