• Status: Solved
  • Priority: Medium
  • Security: Public
  • Views: 256
  • Last Modified:

Aggregating fields

Guys/Gals,

I have more than one record in a table, but for the purpose of this question I have 3 records by way of example.

Record ID      Value 1      Value 2      Value 3
Record 1            N/A      9430572.14
Record 2      N/A      100      0
Record 3      9406396.79      N/A      8528578.56

All value fields have been set to "text" and each value can be either NULL, "N/A", Number (but looks like text)

What I need to do is aggregate all of these together to form one value (there are actually 8 fields to aggregate). I can simply use Cdbl as it doesn't work for N/A or NULL, I can't use Sum....herein lies my problem.

I am wondering if there is an easy way to do this without using lots of Iif's, or do I really need to write a UDF, if I need a UDF, what would be quick?
0
Runrigger
Asked:
Runrigger
1 Solution
 
Patrick MatthewsCommented:
Try this:

1) If you are aggregating by row...

SELECT [Record ID], IIf(IsNumeric([Value 1]), Val([Value 1], 0) AS + IIf(IsNumeric([Value 2]), Val([Value 2], 0) + ... + IIf(IsNumeric([Value 8]), Val([Value 8], 0) AS SummedValues
FROM [SomeTable]

Open in new window


2) If by column...

SELECT Sum(IIf(IsNumeric([Value 1]), Val([Value 1], 0)) AS Sum1, Sum(IIf(IsNumeric([Value 2]), Val([Value 2], 0)) AS Sum2, ... Sum(IIf(IsNumeric([Value 8]), Val([Value 8], 0)) AS Sum8
FROM [SomeTable]

Open in new window



BTW, if you are aggregating by row and you really want to do this in code, you can use the RowStats UDF I describe in my article http://www.experts-exchange.com/Microsoft/Development/MS_Access/A_1775-Computing-row-wise-aggregations-in-Access.html

The source code is:

Function RowStats(Stat As String, ParamArray Vars())
    
    ' Function by Patrick Matthews
    
    ' This code may be used and distributed freely, so long as you attribute authorship, and indicate
    ' what URL you found the code at
    
    ' This Access UDF calculates various stats for the values passed into the ParamArray.  It
    ' was originally designed for passing several values from a particular row set for
    ' evaluation; since the values come from the same row, the usual aggregate functions would
    ' not be appropriate.
    
    ' The Stat argument (NOT case sensitive) determines what statistic is calculated:
    ' "count":          count of non-null values
    ' "min", "max":     minimum or maximum
    ' "sum", "avg":     sum or average, excluding strings
    ' "var", "stdev":   sample variance or standard deviation (excluding strings)
    ' "varp", "stdevp": population variance or standard deviation (excluding strings)
    
    ' You may pass any value in the ParamArray.  Strings, nulls, and dates are ignored for the
    ' sum, avg, stdev, stdevp, var, and varp calculations.  (Thus, you could use this function to
    ' add several columns together without wrapping each column with Nz() to handle nulls...)
    
    ' If run from VBA, this function appears to accept any number of values in the Vars argument;
    ' I successfully tested passing several hundred values.  If run from the Access query editor,
    ' the limit appears to be about 28 values.  If you need to process more than 28 values, you
    ' should use the related function RowStatsFieldList.  (You can overcome this limit by embedding
    ' RowStats expressions, but this will produce potentially erroneous results for the Avg,
    ' StDev[P], or Var[P] stats
    
    ' Please note that you can pass arrays as elements of the Vars ParamArray; indeed, the
    ' RowStatsFieldList function does that
    
    ' As with the regular aggregate functions, if all of the parameters are null, then the
    ' return value is null, except on count, where the return would be zero
    
    Dim Numerator As Double
    Dim Denominator As Double
    Dim Counter As Long, Counter2 As Long
    Dim Result As Variant
    Dim Mean As Double
    
    ' Force to upper case to make sure string comparisons are always performed as expected;
    ' Access uses Option Compare Database by default, but other VBA/VB6 uses binary default
    
    Stat = UCase(Stat)
    
    Select Case Stat
    
        ' In each Case below, loop through the elements of the Vars ParamArray.  If the element
        ' is itself an array, then loop through its elements
        
        Case "COUNT"
        
            ' Increment the result for each non-null value in the array
            
            Result = CLng(0)
            
            For Counter = LBound(Vars) To UBound(Vars)
                If Not IsArray(Vars(Counter)) Then
                    If Not IsNull(Vars(Counter)) Then Result = Result + 1
                Else
                    For Counter2 = LBound(Vars(Counter)) To UBound(Vars(Counter))
                        If Not IsNull(Vars(Counter)(Counter2)) Then Result = Result + 1
                    Next
                End If
            Next
            
        Case "MIN"
        
            ' Initialize the result to Null, then check all non-Null values in turn to see
            ' if it is less.
            
            Result = Null
            
            For Counter = LBound(Vars) To UBound(Vars)
                If Not IsArray(Vars(Counter)) Then
                    If IsNull(Result) And Not IsNull(Vars(Counter)) Then
                        Result = Vars(Counter)
                    ElseIf Vars(Counter) < Result Then
                        Result = Vars(Counter)
                    End If
                Else
                    For Counter2 = LBound(Vars(Counter)) To UBound(Vars(Counter))
                        If IsNull(Result) And Not IsNull(Vars(Counter)(Counter2)) Then
                            Result = Vars(Counter)(Counter2)
                        ElseIf Vars(Counter)(Counter2) < Result Then
                            Result = Vars(Counter)(Counter2)
                        End If
                    Next
                End If
            Next
                      
        Case "MAX"
            
            ' Initialize the result to Null, then check all non-Null values in turn to see
            ' if it is greater.
            
            Result = Null
            
            For Counter = LBound(Vars) To UBound(Vars)
                If Not IsArray(Vars(Counter)) Then
                    If IsNull(Result) And Not IsNull(Vars(Counter)) Then
                        Result = Vars(Counter)
                    ElseIf Vars(Counter) > Result Then
                        Result = Vars(Counter)
                    End If
                Else
                    For Counter2 = LBound(Vars(Counter)) To UBound(Vars(Counter))
                        If IsNull(Result) And Not IsNull(Vars(Counter)(Counter2)) Then
                            Result = Vars(Counter)(Counter2)
                        ElseIf Vars(Counter)(Counter2) > Result Then
                            Result = Vars(Counter)(Counter2)
                        End If
                    Next
                End If
            Next
            
        Case "AVG", "SUM"
        
            ' Check each value in turn.  If it is numeric, then increment numerator and denominator.
            ' Divide numerator by denominator to get an average, or by 1 to get the sum.  Any Date
            ' values are coerced into Double
            
            For Counter = LBound(Vars) To UBound(Vars)
                If Not IsArray(Vars(Counter)) Then
                    If IsNumeric(Vars(Counter)) Then
                        Numerator = Numerator + Vars(Counter)
                        Denominator = Denominator + 1
                    ElseIf IsDate(Vars(Counter)) Then
                        Numerator = Numerator + CDbl(Vars(Counter))
                        Denominator = Denominator + 1
                    End If
                Else
                    For Counter2 = LBound(Vars(Counter)) To UBound(Vars(Counter))
                        If IsNumeric(Vars(Counter)(Counter2)) Then
                            Numerator = Numerator + Vars(Counter)(Counter2)
                            Denominator = Denominator + 1
                        ElseIf IsDate(Vars(Counter)(Counter2)) Then
                            Numerator = Numerator + CDbl(Vars(Counter)(Counter2))
                            Denominator = Denominator + 1
                        End If
                    Next
                End If
            Next
            
            If Denominator > 0 Then
                Result = Numerator / IIf(Stat = "AVG", Denominator, 1)
            Else
                Result = Null
            End If
            
        Case "STDEV", "STDEVP", "VAR", "VARP"
        
            ' Take one pass through the set to determine the average, and then determine the
            ' sum of squared deviances from the mean.  Divide by number of elements in the
            ' array for population or (elements - 1) for sample.  If standard deviation,
            ' take square root.  Any Date values are coerced into Double
            
            ' This pass generates the numerator and denominator needed for the average
            
            For Counter = LBound(Vars) To UBound(Vars)
                If Not IsArray(Vars(Counter)) Then
                    If IsNumeric(Vars(Counter)) Then
                        Numerator = Numerator + Vars(Counter)
                        Denominator = Denominator + 1
                    ElseIf IsDate(Vars(Counter)) Then
                        Numerator = Numerator + CDbl(Vars(Counter))
                        Denominator = Denominator + 1
                    End If
                Else
                    For Counter2 = LBound(Vars(Counter)) To UBound(Vars(Counter))
                        If IsNumeric(Vars(Counter)(Counter2)) Or IsDate(Vars(Counter)(Counter2)) Then
                            Numerator = Numerator + Vars(Counter)(Counter2)
                            Denominator = Denominator + 1
                        ElseIf IsDate(Vars(Counter)(Counter2)) Then
                            Numerator = Numerator + CDbl(Vars(Counter)(Counter2))
                            Denominator = Denominator + 1
                        End If
                    Next
                End If
            Next
            
            ' Make sure there are enough numeric elements to avoid a division by zero error.  If not,
            ' return Null
            
            If (Stat Like "*P" And Denominator > 0) Or (Not Stat Like "*P" And Denominator > 1) Then
                
                Mean = Numerator / Denominator
                
                ' This pass sums the squares of the differences between each data point and the mean
                
                For Counter = LBound(Vars) To UBound(Vars)
                    If Not IsArray(Vars(0)) Then
                        If IsNumeric(Vars(Counter)) Then
                            Result = Result + (Vars(Counter) - Mean) ^ 2
                        ElseIf IsDate(Vars(Counter)) Then
                            Result = Result + (CDbl(Vars(Counter)) - Mean) ^ 2
                        End If
                    Else
                        For Counter2 = LBound(Vars(Counter)) To UBound(Vars(Counter))
                            If IsNumeric(Vars(Counter)(Counter2)) Then
                                Result = Result + (Vars(Counter)(Counter2) - Mean) ^ 2
                            ElseIf IsDate(Vars(Counter)(Counter2)) Then
                                Result = Result + (CDbl(Vars(Counter)(Counter2)) - Mean) ^ 2
                            End If
                        Next
                    End If
                Next
                
                ' Divide by N for population, and N-1 for sample
                
                If Stat Like "*P" Then
                    Result = Result / Denominator
                Else
                    Result = Result / (Denominator - 1)
                End If
            
                ' Take square root if standard deviation
                
                If Stat Like "S*" Then Result = Result ^ 0.5
            
            Else
                Result = Null
            End If
            
        Case Else
            
            ' If Stat is none of the above, then return Null -- invalid Stat
            
            Result = Null
    End Select
    
    ' Set return value
    
    If Not IsNull(Result) Then RowStats = Result Else RowStats = Null
    
End Function

Open in new window



You could use it in a query like this:

SELECT [Record ID], RowStats("Sum", [Value 1], [Value 2], [Value 3], [Value 4], [Value 5], [Value 6], [Value 7], [Value 8]) AS RowSum
FROM [SomeTable]

Open in new window


When computing a sum, RowStats already "knows" to ignore nulls and text it cannot convert into a number, and it also knows how to convert strings that "look" like numbers into actual numbers.

Patrick
0
 
Chandan_GowdaCommented:
Use ISNumeric function and then do a sum

--Example
SELECT
      SUM(CASE WHEN ISNUMERIC(VALUE1) =1 THEN VALUE1 ELSE 0 END )
FROM TABLE
0

Featured Post

What does it mean to be "Always On"?

Is your cloud always on? With an Always On cloud you won't have to worry about downtime for maintenance or software application code updates, ensuring that your bottom line isn't affected.

Tackle projects and never again get stuck behind a technical roadblock.
Join Now