I have a basic select query that is looking at some sample data in my table. I am trying to get three pieces of information.
Total Samples (total records)
How many with a Score greater than or equal to 85
How many with a Score less than 85
Data:
ScoreID RecordID Score ErrorMarkedToQID ErrorActionID
1 2 30 Q00019 1
2 2 100 Q20039 3
3 3 30 Q10091 3
4 3 35 Q00019 5
6 4 5 Q10091 3
This is what I attempted:
DECLARE #startDate DATE = '2018/09/12', #endDate DATE = '2018/09/24'
SELECT COUNT(s.ScoreID) AS totalSamples,
COUNT(CASE WHEN s.Score >= 85 THEN 1 ELSE 0 END) AS Pass,
COUNT(CASE WHEN s.Score < 85 THEN 1 ELSE 0 END) AS Fail
FROM [SubmissionScores] AS s
JOIN Submission AS sub
ON sub.SubmissionID = s.RecordID
WHERE sub.DateSubmittedUTC BETWEEN #startDate AND #endDate
My current output is that all fields are outputting 5 which is the total number of records. So it seems like my CASE logic isn't correct.
Can this be done in a simple query like I am attempting?
DECLARE #startDate DATE = '2018/09/12', #endDate DATE = '2018/09/24'
SELECT COUNT(s.ScoreID) AS totalSamples,
COUNT(CASE WHEN s.Score >= 85 THEN 1 ELSE NULL END) AS Pass,
COUNT(CASE WHEN s.Score < 85 THEN 1 ELSE NULL END) AS Fail
FROM [SubmissionScores] AS s
JOIN Submission AS sub
ON sub.SubmissionID = s.RecordID
WHERE sub.DateSubmittedUTC BETWEEN #startDate AND #endDate
The Count() function will return the number of rows that match a specified criteria, but your Case() has a result for both match and no match, so it returns the same (total) number of rows in all case
with Case() 0 or 1 you can use sum() which will summarize the result of the case
DECLARE #startDate DATE = '2018/09/12', #endDate DATE = '2018/09/24'
SELECT COUNT(s.ScoreID) AS totalSamples,
SUM(CASE WHEN s.Score >= 85 THEN 1 ELSE 0 END) AS Pass,
SUM(CASE WHEN s.Score < 85 THEN 1 ELSE 0 END) AS Fail
FROM [SubmissionScores] AS s
JOIN Submission AS sub
ON sub.SubmissionID = s.RecordID
WHERE sub.DateSubmittedUTC BETWEEN #startDate AND #endDate
Related
I'm trying to create a query which allows to categorize the average percentage for specific data per month.
Here's how my dataset presents itself:
Date
Name
Group
Percent
2022-01-21
name1
gr1
5.2
2022-01-22
name1
gr1
6.1
2022-01-26
name1
gr1
4.9
2022-02-01
name1
gr1
3.2
2022-02-03
name1
gr1
8.1
2022-01-22
name2
gr1
36.1
2022-01-25
name2
gr1
32.1
2022-02-10
name2
gr1
35.8
...
...
...
...
And here's what I want to obtain with my query (based on what I showed of the table):
Month
<=25%
25<_<=50%
50<_<=75%
75<_<=100%
01
1
1
0
0
02
1
1
0
0
...
...
...
...
...
The result needs to:
Be ordered by month
Have the average use for each name counted and categorized
So far I know how to get the average of the Percent value per Name:
SELECT Name,
AVG(Percent)
from `table`
where Group = 'gr1'
group by Name
and how to count iterations of Percent in the categories created for the query:
SELECT EXTRACT(MONTH FROM Date) as Month,
COUNT(CASE WHEN Percent <= 25 AND Group = 'gr1' THEN Name END) `_25`,
COUNT(CASE WHEN Percent > 25 AND Percent <= 50 AND Group = 'gr1' THEN Name END) `_50`,
COUNT(CASE WHEN Percent > 50 AND Percent <= 75 AND Group = 'gr1' THEN Name END) `_75`,
COUNT(CASE WHEN Percent > 75 AND Percent <= 100 AND Group = 'gr1' THEN Name END) `_100`,
FROM `table`
GROUP BY Month
ORDER BY Month
but this counts all iterations of every name where I want the average of those values.
I've been struggling to figure out how to combine the two queries or to create a new one that answers my need.
I'm working with the BigQuery service from Google Cloud
This query produces the needed result, based on your example. So basically this combines your 2 queries using subquery, where the subquery is responsible to calculate AVG grouped by Name, Month and Group, and the outer query is for COUNT and "categorization"
SELECT
Month,
COUNT(CASE
WHEN avg <= 25 THEN Name
END) AS _25,
COUNT(CASE
WHEN avg > 25
AND avg <= 50 THEN Name
END) AS _50,
COUNT(CASE
WHEN avg > 50
AND avg <= 75 THEN Name
END) AS _75,
COUNT(CASE
WHEN avg > 75
AND avg <= 100 THEN Name
END) AS _100
FROM
(
SELECT
EXTRACT(MONTH from Date) AS Month,
Name,
AVG(Percent) AS avg
FROM
table1
GROUP BY Month, Name, Group
HAVING Group = 'gr1'
) AS namegr
GROUP BY Month
This is the result:
Month
_25
_50
_75
_100
1
1
1
0
0
2
1
1
0
0
See also Fiddle (BUT on MySql) - http://sqlfiddle.com/#!9/16c5882/9
You can use this query to Group By Month and each Name
SELECT CONCAT(EXTRACT(MONTH FROM Date), ', ', Name) AS DateAndName,
CASE
WHEN AVG(Percent) <= 25 THEN '1'
ELSE '0'
END AS '<=25%',
CASE
WHEN AVG(Percent) > 25 AND AVG(Percent) <= 50 THEN '1'
ELSE '0'
END AS '25<_<=50%',
CASE
WHEN AVG(Percent) > 50 AND AVG(Percent) <= 75 THEN '1'
ELSE '0'
END AS '50<_<=75%',
CASE
WHEN AVG(Percent) > 75 AND AVG(Percent) <= 100 THEN '1'
ELSE '0'
END AS '75<_<=100%'
from DataTable /*change to your table name*/
group by EXTRACT(MONTH FROM Date), Name
order by DateAndName
It gives the following result:
DateAndName
<=25%
25<_<=50%
50<_<=75%
75<_<=100%
1, name1
1
0
0
0
1, name2
0
1
0
0
2, name1
1
0
0
0
2, name2
0
1
0
0
I am trying to calculate repeat if there is a repeat event in 3,7,30 and >30 days.
In the image below the the yellow is the sql table,
the green is transformation needed, where I find out what is the first event for Event A and Event B. and then find out what is the gap between the first event of A and next events of A.
Finally I need to aggregate and achieve the blue table where data is aggregate for the unique events.
I have been trying to achieve this in SQL but I am stuck as I am not sure how to filter and loop.
Original data and Expected outcome image
DECLARE #reference_date DATE = '2022-08-02';
SELECT
Event,
MIN(Date) as First_date,
SUM(CASE WHEN DATEDIFF(day, #reference_date, Date) BETWEEN 1 AND 2
THEN 1 ELSE 0 END) as "Within_3_Days",
SUM(CASE WHEN DATEDIFF(day, #reference_date, Date) BETWEEN 1 AND 6
THEN 1 ELSE 0 END) as "Within_7_Days",
SUM(CASE WHEN DATEDIFF(day, #reference_date, Date) BETWEEN 1 AND 29
THEN 1 ELSE 0 END) as "Within_30_Days",
SUM(CASE WHEN DATEDIFF(day, #reference_date, Date)>=30
THEN 1 ELSE 0 END) as ">_30_Days"
FROM event e0
GROUP BY Event
output:
Event
First_date
Within_3_Days
Within_7_Days
Within_30_Days
>_30_Days
A
2022-08-01
0
1
2
1
B
2022-09-15
0
0
0
1
The #reference_date is used to reference the date needed to determine if a date is within x days.
DBFIDDLE
P.S. I use dates in the format YYYY-MM-DD, because that's the only way I am SURE about the ordering of the Day and the Month part.
EDIT:
When using the first date of an event to determine the 'within' columns, you can do:
SELECT
e0.Event,
MIN(e0.Date) as First_date,
SUM(CASE WHEN DATEDIFF(day, e1.Date, e0.Date) BETWEEN 1 AND 2
THEN 1 ELSE 0 END) as "Within_3_Days",
SUM(CASE WHEN DATEDIFF(day, e1.Date, e0.Date) BETWEEN 1 AND 6
THEN 1 ELSE 0 END) as "Within_7_Days",
SUM(CASE WHEN DATEDIFF(day, e1.Date, e0.Date) BETWEEN 1 AND 29
THEN 1 ELSE 0 END) as "Within_30_Days",
SUM(CASE WHEN DATEDIFF(day, e1.Date, e0.Date)>=30
THEN 1 ELSE 0 END) as ">_30_Days"
FROM event e0
INNER JOIN (SELECT Event,MIN(Date) as Date from event GROUP BY Event) e1 on e1.Event=e0.Event
GROUP BY e0.Event
see: DBFIDDLE2
The query below returns 2 rows, but actually I need only one;
select Datename(month, m.CreatedDate) as [Ay], sum(case when h.Cinsiyet=1 then 1 else 0 end) as [Group1], sum(case when h.Cinsiyet=2 then 1 else 0 end) as [Group2] from Muayene.Muayene m with(nolock)
join Ortak.Hasta h with(nolock) on m.HastaTc = h.HastaTc
group by h.Cinsiyet, Datename(month, m.CreatedDate)
result:
MonthName Group1 Group2
April 4500 0
April 0 9000
Expected Result:
MonthName Group1 Group2
April 4500 9000
I know I can do it wrapping the query with another select statement and Group by month and Sum these results.. But its not efficient and looks dirty code.
How can I make a trick to get expected result without make another sum statement?
FIx the GROUP BY:
select Datename(month, m.CreatedDate) as [Ay],
sum(case when h.Cinsiyet = 1 then 1 else 0 end) as [Group1],
sum(case when h.Cinsiyet = 2 then 1 else 0 end) as [Group2]
from Muayene.Muayene m join
Ortak.Hasta h
on m.HastaTc = h.HastaTc
group by Datename(month, m.CreatedDate);
I have SQL Server query , using this , I am splitting event id sum columns to two columns based on some condition. Query executed successfully, but the result is not desired. It's half useful. Please help me to get expected result. I want one row for both split columns instead two rows and empty spaces.
SQL Query:
select convert(date, paymenttime)) , SUM(case when eventid = 33 then 1 ELSE 0 END) AS column1,
SUM(case when eventid = 36 then 1 ELSE 0 END) AS column2
from tbltransMain_backup where
paymentime <= '20160731' and PaymentTime >= '20160701'
group by convert(date,paymenttime),event_id
order by convert(date,paymenttime)
Result view:
Expected Result:
2016-07-01 27 1
2016-07-02 28 2
2016-07-03 30 15
The query you posted (perhaps unknowingly) into your question should already give you the desired results:
SELECT CONVERT(DATE, paymenttime),
SUM(CASE WHEN event_id = 33 THEN 1 ELSE 0 END) AS column1,
SUM(CASE WHEN event_id = 36 THEN 1 ELSE 0 END) AS column2
FROM tbltransMain_backup
WHERE paymentime <= '20160731' AND
paymentime >= '20160701'
GROUP BY CONVERT(DATE, paymenttime)
ORDER BY CONVERT(DATE, paymenttime)
The reason you were getting two rows for every date is that your query had the following grouping:
GROUP BY CONVERT(DATE, paymenttime),
event_id
In other words, each date would have two groups, one for event_id = 33 and one for event_id = 36.
Problem: Time Span between two dates. I would like to know how many months are between each date. The trick is: the number of months in each year between the two dates.
For example:
Start date = 1/1/2014
End Date = 3/1/2016
The output:
Column 1: "2014" would have a value of 12
Column 2: "2015" would have a value of 12
Column 3: "2016" would have a value of 2
This would be for a list with many dates (with different years)
EDIT: You would indeed have to have 14 year columns for a date span between 2000-2014. However, it is unlikely that more than 5 columns would need to be added.
Current train of thought
declare #datediff as int
select
#datediff=(Datediff(MONTH,[begin date], [end date]))
from [DateRange]
select
case
when #datediff <= 12 then #datediff
when #datediff <= 24 then #datediff -12
when #datediff <= 36 then #datediff -24
when #datediff <= 48 then #datediff -36
else NULL
end
from [DateRange]
Any ideas on this one?
I am very new to SQL and was only able to get the total months between the two with the following code:
select
datediff(MONTH,[begin date], [end date])
from [tableofdates]
Use below Query, you need to use your table in place of mydates table in below example. I used for maximum 10 year difference (represented by columns Y1,Y2 ... Y10).
The outer Query group by is used transpose the data to match to your requirement where you wanted month difference in column...
Inner query Q3 will provide the same results in rows with no limit to date range (actually there is limit i.e 2048 years due to master table master..spt_values which I guess you will not reach).
select
Q3.begindt,
Q3.enddt,
Q3.Diff_in_Year,
sum(Case when Q3.Year_Counter = 0 Then datediff(mm,Q3.y_start,Q3.y_end)+1 else 0 end) Y1,
sum(Case when Q3.Year_Counter = 1 Then datediff(mm,Q3.y_start,Q3.y_end)+1 else 0 end) Y2,
sum(Case when Q3.Year_Counter = 2 Then datediff(mm,Q3.y_start,Q3.y_end)+1 else 0 end) Y3,
sum(Case when Q3.Year_Counter = 3 Then datediff(mm,Q3.y_start,Q3.y_end)+1 else 0 end) Y4,
sum(Case when Q3.Year_Counter = 4 Then datediff(mm,Q3.y_start,Q3.y_end)+1 else 0 end) Y5,
sum(Case when Q3.Year_Counter = 5 Then datediff(mm,Q3.y_start,Q3.y_end)+1 else 0 end) Y6,
sum(Case when Q3.Year_Counter = 6 Then datediff(mm,Q3.y_start,Q3.y_end)+1 else 0 end) Y7,
sum(Case when Q3.Year_Counter = 7 Then datediff(mm,Q3.y_start,Q3.y_end)+1 else 0 end) Y8,
sum(Case when Q3.Year_Counter = 8 Then datediff(mm,Q3.y_start,Q3.y_end)+1 else 0 end) Y9,
sum(Case when Q3.Year_Counter = 9 Then datediff(mm,Q3.y_start,Q3.y_end)+1 else 0 end) Y10
From
(select
Q1.begindt,
Q1.enddt,
Q1.years Diff_in_Year,
Q2.number as Year_Counter,
(Case when Q2.number = 0 then Q1.begindt else dateadd(yy, datediff(yy,0,dateadd(yy,q2.number,q1.begindt)),0)End) AS y_Start,
(case when ((Q1.years-1) = Q2.number) then Q1.enddt else DATEADD(yy, DATEDIFF(yy,0,dateadd(yy,q2.number+1,q1.begindt) + 1), -1) End) AS y_End,
Year(Q1.begindt)+Q2.number YearInYYYY
from
(select begindt,enddt,DATEDIFF(year,begindt,enddt)+1 as years from mydates) Q1
join master..spt_values Q2 on Q2.type = 'P' and Q2.number < Q1.years
) Q3
Group by Q3.begindt,Q3.enddt,q3.Diff_in_Year
Output of the Above Query
begindt enddt YDif Y1 Y2 Y3 Y4 Y5 Y6 Y7 Y8 Y9 Y10
2010-07-02 2014-02-06 5 6 12 12 12 2 0 0 0 0 0
2011-01-01 2014-12-31 4 12 12 12 12 0 0 0 0 0 0
2012-05-22 2017-12-16 6 8 12 12 12 12 12 0 0 0 0