Reputation: 1584
I have some data in table which contains date as one column and count(*).
But I have requirement to draw a chart of median or mean count for that year/month/week/day and the error bar represents the spread of the data
SELECT DATE_PART(year,l_date) as year, (count(*))
from am_history
group by year;
which gives the year and count of rows per year. How to calculate the median for this count(*) and error (standard deviation)? I understand if for year i find out the query, the rest for month, week etc can be done easily.
I am new to calculate statistics,Please help
Upvotes: 0
Views: 500
Reputation: 1012
Please try this.
SELECT DATEPART(year,l_date) as [year], count(l_date) as counts
from am_history
group by DATEPART(year,l_date);
Example:---
Declare @tbl Table(
id INT ,
[group] Varchar(50),
value varchar(50),
Dat DATETIME
)
INSERT INTO @tbl VALUES(1,'1.1.03.01.00.00',NULL,GETUTCDATE()-100)
INSERT INTO @tbl VALUES(2,'1.1.03.01.01.00',NULL,GETUTCDATE() + 7)
INSERT INTO @tbl VALUES(3,'1.1.03.01.02.00',NULL,GETUTCDATE()+10)
SELECT DATEPART(year,Dat)As years,count(Dat) as counts FROM @tbl group by DATEPART(year,Dat)
Upvotes: 0