I have a table with records each representing an appointment. I have the name of the contactthe appointment is with, and the date. In another table I have a field that contains how many appointments each contact is supposed to have during the day. There are 12 entries for each contact, because some are expected to have different numbers during different months.
I am able to call up the data for the appropriate contactfor the appropriate month. It looks great in the graph when I count up the number of entries for Contact A and put next to it the expected number of entries from the related table.
The problem I'm running into now is that I need to add up all of the expected appointments between all of the entities. So:
::ContactName:: ::appointments:: ::expected::
Contact A 12 10
Contact B 33 34
Contact C 18 27
Getting the roll up for the actual appointments is easy, a simple COUNT summary field in a subsubsummary section. But what of the expected? Because ContactA had 12 appointments that means that there will be 12 records for them, so putting a summary field for the expected column is would return 120 for all Contact A's. Instead, given the dataset above, I need the calculation to return 71. Does this issue make sense? Any help would be greatly appreciated.
If I am following this correctly, you need to divide the amount of expected appointments between the entries of the group, then total the result. So something like:
Sum ( Entities::Expected ) / GetSummary ( sCount ; EntityID )
(this would be easier if we knew the names of your tables and fields).
P.S. The term "entity" has a specific meaning in the context of a relational database. Consider using another term (e.g. "contacts").
Added:
Using your example data, you should see the following results in the above calculation field:
in the 1st group of 12 records: 10 / 12 = .8333333333333333
in the 2nd group of 33 records: 34 / 33 = 1.0303030303030303
in the 3rd group of 18 records: 27 / 18 = 1.5
When you sum all this up (using a summary field defined as Total of this calculation field), you should get 71 (or a number very near 71, due to rounding errors).
Note: in the above calculation, sCount is a summary field defined in the Appointments table as Count of [ any field that cannot be empty ], and EntityID is the field by which your records are sorted and grouped (and it must be a local field).
Related
I am struggling to get the desired results i need using an Access query, and was wondering if what i was looking to do was actually achievable in one query, or whether i would need two queries and then export to Excel and interrogate the results there.
I've a table with a number of columns, i am specifically looking at three columns
Row Type - this will either be populated with A or U
Account Number - there will be potentially multiple instances of account number within the table. Although only once against row type "A", and multiple on row type "U"
Value - a currency field. At Account number level, the sum of "U" row, should equal the "A" value
I am looking to produce a query that will list three things.
[Account Number]
Sum of [Value] when [RowType] = "U"
[Value] when [RowType] = "A"
Would i need to create a new column in my table to generate a value for the requirement "Sum of Value when 'U')
I've tried
SUM(IIF([ROWTYPE]='U',[Value],0)) - but that doesn't seem to work.
I've also tried to use the builder within the Query to replicate the same, but again that also doesn't seem to work.
If all else fails i'm content to have to run two queries in Access and then join Excel, but i tihnk for my own learning and knowledge it would be good to know if what i am trying to do is possible.
I was hoping this is possible to compile in Access, but my knowledge of the application is seriously lacking, and despite looking on the MS Access support pages, and also some of the response on the StackOverflow forums, i still can't get my head around what i need to do.
Example of the data
Row Type
Account ID
Value
A
123456789
50.00
U
123456789
30.00
U
123456789
20.00
A
987654321
100.00
U
987654321
80.00
U
987654321
20.00
The data has been loaded into Access, table called "TEST"
This is the SQL i've got, but doesn't give me the desired results.
SELECT [TEST].[ROW TYPE], SUM([TEST].[VALUE]) AS [TEST].[ACCOUNT ID]
FROM [TEST]
GROUP BY [TEST].[ROW TYPE], [TEST].[ACCOUNTID]
When the query generates, would hope to see two rows, one for each account number.
Three row -
Account Number
Sum Value (where row is U)
Value (Where row is A)
I currently get 4 rows in the query. Two results for each account number, one result is the Value when Row Type = A, the other when Row Type = U.
I guess this is what you are after:
SELECT
[Account ID],
Sum(IIf([Row Type]="A",[Value],0)) AS A,
Sum(IIf([Row Type]="U",[Value],0)) AS U
FROM
TEST
GROUP BY
[Account ID];
Output:
Account ID
A
U
123456789
50,00
50,00
987654321
100,00
100,00
I have to do a client based statistic report in which I include, in the first column, count of clients which have 1 to 50 registered documents, then 51 to 100 documents..and so on to 901 to 1000 documents. or this I used this expression "Sum(IIF(Fields!Calculated_Value_03.Value>0 AND Fields!Calculated_Value_03.Value<=50, 1, 0))" where calculated_value_03 is the number of documents per client and it worked. The next step is to bring in the second column the invoiced value for each category of clients(for 1 to 50, 51 to 100..etc) and i used this expression "sum(IIF(Fields!Calculated_Value_03.Value>0 AND Fields!Calculated_Value_03.Value<=50, Fields!Calculated_Value_09.Value, 0))" where Calculate_Value_09 is the net invoiced value, but those conditions are both true and the expression is summing everything in the DB. Any clue on how i could solve this? Thank you in advance.
I am working on a database with two different tables.
The first contains every change in the database like a transaction table. It contains the object that was bought/sold, how many of them where bought/sold, when this tranaction happend and in which place.
The second table contains the total value of every object that should be available in those places.
Now here is my question:
I want to automaticly sum up every entry with the same object and location inside of table one and save this value inside of table two.
BUT
Sometimes there are special entrys in table one which should not be summed up with the other values. They should overwrite the value.
I have an example of how this summing up should look like:
n = normal value, s = special value
n: 1 sum: 1
n: 2 sum: 3
s: 7 sum: 7
n: 5 sum: 12
n: 4 sum: 16
n: 7 sum: 23
s: 20 sum: 20
To help you help me I have some additional informations:
There are 4 columns inside of table one
The first one is called object and contains the object number for which this entry takes effect.
The second column contains the amount of that object. Whether it was bought or sold.
The third column tells me on which locations this transaction belongs to. Which also means that every object has different amounts depending on the location.
The fourth column contains an information why this transaction happend. It tells me if this transaction happend because I bought something or because I sold something OR because I counted my stock.
This is the special indicator which should tell my database not to sum up this value but instead overwrite the previous one with this.
The fifth and last column contains the date when this transaction happend. This is very important because the whole table is sorted by the date. And it tells when those special values come in place.
The other table just contains the summed up value for every object in every location.
This below will return the sum of each record for a particular Object 'MyObj' starting from the last instance of a 'Special' entry (inclusive).
(Untested)
SELECT Sum(a.Amount) AS TheSum
FROM tblMyTable a
WHERE ID_PK> = nz((
SELECT max(ID_PK)
FROM tblMyTable
WHERE Object=a.Object AND IsSpecial=1
),0)
AND a.Object='MyObj'
I have a grails application with a mysql database as the datasource. The mysql database is created and maintained by a third party. One of the tables 'visitinfo' contains 2 columns consisting of the 'userid' and 'logindatetime'.
userid is of type TEXT and logindatetime is of type 'datetime'.
In order to access the above table 'visitinfo', I have created a domain class 'VisitInfo' and mapped it to the mysql database table by which my grails application can easily store as well as retrieve data from the database.
On one of the pages, I am required to show visitor information for the last 30 days. So basically I am looking out for a solution to get number of visitors per day for the last 30 days. Something like this:
21-Jan-2012 ------ 36
22-Jan-2012 ------ 85
23-Jan-2012 ------ 115
24-Jan-2012 ------ 236
etc.
Also please note, that if a userid 'williamp' has 2 entries on a particular day, it should be counted as 2. So, am not looking out for uniqueness of users.
Any help will be appreciated.
I know nothing at all about grails. The MySQL query to obtain the desired result is as follows:
SELECT DATE_FORMAT(logindatetime,'%d-%m-%Y') dt
, COUNT(*) total
FROM visitinfo
GROUP
BY dt;
You want to use the countBy gorm method.
numLogins=VisitInfo.countByReleaseDateBetween(startOfDay,endOfDay)
This would need to be in a loop that calculates two date objects for each of the last 30 days. startOfDay would need a time value of 00:00:00:00 and endOfDay would need a time value of 23:59:00:00
I suggest following hql query to match your requirement
VisitInfo.executeQuery("select logindatetime, count(*) from VisitInfo group by logindatetime")
Ok, here's the condensed form. I have three main tables to draw data from:
StudentData - PK is the student's ID Number. Contains contact info, their current status ('00' for none, 'P' for Probation, 'S' for Suspension), and cumulative gpa data.
CourseData - PK is the CRN. Contains just the abbreviated subject and the course number (IE ECON 200)
StudentCourses - PK is an AutoNum. Many-to-Many relationship table between StudentData and CourseData. Also contains stats for the particular student's class (grade, credit hours, etc).
So some sample data would look like:
-
StudentData
ID: 12345678
Name: John Doe; ...[Other contact info]; 00; CumCreditHours: 100; CumCoursePoints: 190
-
CourseData
CRN: 0001; Abbrev: ECON; CourseNumber: 101
CRN: 0002; Abbrev: CSCI; CourseNumber 201
-
StudentCourses
AutoNum: 1
StudentID: 12345678; CRN: 0001; Grade: A-; Credits: 3
AutoNum: 2
StudentID 12345678; CRN: 0002; Grade: B; Credits: 3
-
At this point, this is how I have things set up:
First, a query runs that finds all of the courses a student takes and converts the letter grades into a point value. Another query based on the first sums the point totals and the credit hours. A third query takes those totals and calculates the GPA by dividing their point total by the credit hour total.
Separately, a query runs that calculates the student's cumulative GPA by taking their cumulative points and hours from the StudentData table (again dividing the points by the hours).
Then, another query takes both the semester GPA, cumulative GPA, current status, and cumulative credit hours and calculates the recommended action for the student. So for our example data it would look like:
_
SemesterGPA: 3.33; CumulativeGPA: 1.90; CurrentStatus: 00; CumulativeCreditHours: 100
_
I have the formula to determine their recommended action set up as a series of nested IIF statements that looks like:
IIf([CurrentStatus]="00" And [CumulativeGPA]<2 And [CumulativeCreditHours]>=12 And [CumulativeCreditHours]<=23,"PFY",IIf([CurrentStatus]="00" And [CumulativeGPA]>=1.7 And [CumulativeGPA]<=1.99 And [CumulativeCreditHours]>=24,"P",IIf([CurrentStatus]="00 " And [CumulativeGPA]<2 And [SemesterGPA]<2 And [CumulativeCreditHours]<12,"W",IIf([CurrentStatus]="00" And [CumulativeGPA]>=2 And [CumulativeGPA]<=2.5 And [SemesterGPA]<2 And [CumulativeCreditHours]>=12,"WUP",IIf([CurrentStatus]="00" And [CumulativeGPA]<1.7 And [CumulativeCreditHours]>=24,"SUSP",IIf([CurrentStatus]="P" And [CumulativeGPA]<2 And [SemesterGPA]>=2 And [CumulativeCreditHours]>=12,"CP",IIf([CurrentStatus]="P" And [CumulativeGPA]>=2 And [SemesterGPA]<2 And [CumulativeCreditHours]>=12,"SPCP",IIf([CurrentStatus]="P" And [CumulativeGPA]>=2 And [CumulativeCreditHours]>=12,"RP",IIf([CurrentStatus]="P" And [CumulativeGPA]<2 And [SemesterGPA]<2 And [CumulativeCreditHours]>=12,IIf(IsNull([PriorSuspension]),"S(FD)","D(SD)"),"None")))))))))
For our example, John Doe's recommended action would be 'P' since his current status is 00, he has over 24 cumulative credits, and his cumulative gpa is between 1.7 and 1.99.
Now for the problem: I would like to be able to make a report that can filter by the recommended action. I've detailed the issues I've had previously, but in short, the way I have the reports set up now (with the information being displayed in a sub-report inside a report that is based on the StudentData table to provide the aforementioned queries with the StudentID) doesn't allow me to do this because the field I want to filter by exists in the sub-report and not the main report (and you can't set the filter properties for a sub-report).
Any ideas?
Ok, I've got this to work now. I realized that as I was calculating the semester GPAs that I had grouped the results together by ID at some point during the process. This allowed me to remove the part of the initial query that grabbed the ID number from the form. Since the last query in the process linked everything together by student ID, the individual records held all of the information I needed and everything fell into place after that.
I half expected something simple like this to be the answer to my problem, but I'm still disappointed that it took me this long to figure it out...
Anyway, thanks to anyone who might have been thinking of possible solutions for this problem.