Reputation: 193
I have an Website using ASP.Net 2.0 with SQL Server as Database and C# 2005 as programming language. In one of the pages I have a GridView with following layout.
Date -> Time -> QtyUsed
The sample values are as follows: (Since this GridView/Report is generated for a specific month only, I have extracted and displaying only the Day part of the date ignoring the month and year part.
01 -> 09:00 AM -> 05
01 -> 09:30 AM -> 03
01 -> 10:00 AM -> 09
02 -> 09:00 AM -> 10
02 -> 09:30 AM -> 09
02 -> 10:00 AM -> 11
03 -> 09:00 AM -> 08
03 -> 09:30 AM -> 09
03 -> 10:00 AM -> 12
Now the user wants the layout to be like:
Time 01 02 03 04 05 06 07 08 09
-------------------------------------------------------------------------
09:00 AM -> 05 10 08
09:30 AM -> 03 09 09
10:00 AM -> 09 11 12
The main requirement is that the days should be in the column header from 01 to the last date (the reason why I extracted only the day part from the date). The Timeslots should be down as rows.
From my experience with Excel, the idea of Transpose comes to my mind to solve this, but I am not sure.
Please help me in solving this problem.
Thank you.
Lalit Kumar Barik
Upvotes: 0
Views: 699
Reputation: 6655
In SQL Server, there is a PIVOT function that may be of use.
The MSDN article specifies usage and gives an example.
The example is as follows
Table DailyIncome looks like
VendorId IncomeDay IncomeAmount
---------- ---------- ------------
SPIKE FRI 100
SPIKE MON 300
FREDS SUN 400
SPIKE WED 500
...
To show
VendorId MON TUE WED THU FRI SAT SUN
---------- ----------- ----------- ----------- ----------- ----------- ----------- -----------
FREDS 500 350 500 800 900 500 400
JOHNS 300 600 900 800 300 800 600
SPIKE 600 150 500 300 200 100 400
Use this select
SELECT * FROM DailyIncome
PIVOT( AVG( IncomeAmount )
FOR IncomeDay IN
([MON],[TUE],[WED],[THU],[FRI],[SAT],[SUN])) AS AvgIncomePerDay
Alternatively, you could select all of the data from DailyIncome and build a DataTable with the data pivoted. Here is an example.
Upvotes: 0
Reputation: 359
You will have to generate the dataset accordingly. I am guessing you are doing some kind of grouping based on the hour so generate a column for each hour of the day and populate the dataset accordingly.
Upvotes: 2