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Pasko1
 
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Default Correlation - Which Analytical Function to Use

I have a table of data as below. There are more Customers, and more dates'
worth of data, but they won't fit in this window. For a number of our
customers, we change delivery routes during the week in order to optimize our
shipping capacity. Basically, I am trying to see for each delivery route, on
a given day, how many of the same customers are on the same route. In other
words, when one customer changes from one route to another over a date range,
do other customers switch to the same routes on the same days?

Cust # Rt# 8/27/2005 8/29/2005 8/30/2005 8/31/2005
a 1069
a 1081 1
a 1088
a 1090 1 1
a 3271
b 1003 1
b 1076 1
b 1089 1
b 1101
c 1069
c 1071
c 1081 1
c 1082
c 1090 1
d 958
d 1069
d 1070
d 1072
d 1080 1
d 1082
e 1069

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Casey
 
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Pasko1,
I'm pretty unclear about precisely what you are trying to do, however,
there are two suggestions I would make. One fairly easy to learn and
use, the second more complex but more powerful.
First suggestion is to use the Auto Filter. To do this, select your
entire range of data, then go to DATAFILTERAUTOFILTER. This will put
dropdown arrows into each of your column headings, with which you can
filter you data.
If for instance, one of your column headings is a date (as it appears
to be) and the column under that contains route numbers, you can filter
for a particular route number and only those rows will remain visable.
Then you can use the drop down to select "All" and your entire data
will be visable once more.
The second method involves using a pivot table, very powerful, somewhat
complex. If you go to DATAPIVOT TABLE and PIVOTCHART REPORT, a wizard
will be launched to help you develop the pivot table.
I encourage you to avail yourself of the help files to study the
advanced techniques for both of these built-in Excel features.
HTH


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Casey


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Dave Peterson
 
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I would think that if you had your data laid out like:

Cust# Rt# Date Qty
a 1069 08/27/2005 1
a 1069 08/29/2005 1
a 1069 08/31/2005 1
a 1081 08/27/2005 1
a 1081 08/29/2005 1
a 1088 08/27/2005 1
a 1088 08/30/2005 1
a 1088 08/31/2005 1
a 1090 08/29/2005 1
a 1090 08/30/2005 1
a 1090 08/31/2005 1
a 3271 08/27/2005 1

(I wasn't sure if the 1's were quantities or just placeholders meaning yes)

Then you could use Data|Filter|autofilter to review any date/route/customer.

If you think you want to try that, you could use a macro to rearrange the data
into that tabular form:

Option Explicit
Sub testme()

Dim CurWks As Worksheet
Dim NewWks As Worksheet
Dim iRow As Long
Dim oRow As Long
Dim FirstRow As Long
Dim LastRow As Long
Dim iCol As Long

Set CurWks = Worksheets("Sheet1")
Set NewWks = Worksheets.Add

NewWks.Range("a1").Resize(1, 4).Value _
= Array("Cust#", "Rt#", "Date", "Qty")
oRow = 1

With CurWks
FirstRow = 2 'headers in row 1
LastRow = .Cells(.Rows.Count, "A").End(xlUp).Row

For iRow = FirstRow To LastRow
For iCol = 3 To .Cells(iRow, .Columns.Count).End(xlToLeft).Column
If IsEmpty(.Cells(iRow, iCol)) Then
'do nothing
Else
oRow = oRow + 1
NewWks.Cells(oRow, "A").Value = .Cells(iRow, "A").Value
NewWks.Cells(oRow, "B").Value = .Cells(iRow, "B").Value
NewWks.Cells(oRow, "C").Value = .Cells(1, iCol).Value
NewWks.Cells(oRow, "D").Value = .Cells(iRow, iCol).Value
End If
Next iCol
Next iRow
End With

NewWks.UsedRange.Columns.AutoFit

End Sub

If you're new to macros, you may want to read David McRitchie's intro at:
http://www.mvps.org/dmcritchie/excel/getstarted.htm


Pasko1 wrote:

I have a table of data as below. There are more Customers, and more dates'
worth of data, but they won't fit in this window. For a number of our
customers, we change delivery routes during the week in order to optimize our
shipping capacity. Basically, I am trying to see for each delivery route, on
a given day, how many of the same customers are on the same route. In other
words, when one customer changes from one route to another over a date range,
do other customers switch to the same routes on the same days?

Cust # Rt# 8/27/2005 8/29/2005 8/30/2005 8/31/2005
a 1069
a 1081 1
a 1088
a 1090 1 1
a 3271
b 1003 1
b 1076 1
b 1089 1
b 1101
c 1069
c 1071
c 1081 1
c 1082
c 1090 1
d 958
d 1069
d 1070
d 1072
d 1080 1
d 1082
e 1069


--

Dave Peterson
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