Start Consolidating multiple excel files

Consolidating multiple excel files

This article will walk through the basic flow required to parse multiple Excel files, combine the data, clean it up and analyze it.

Alternatively, you can use Power Query in Excel 2013, renamed Get and Transform in Excel 2016, but those features require far more experience with database queries than the average Excel user has accumulated at this point.

Fortunately, Microsoft Query is an alternative that is available in all versions of Excel that can guide you through the process.

I hope it will give you ideas of how to apply these tools to your unique situation.

I wanted however to account for 2 typical scenarios: Sub Merge Excel Files(file Names() As String, Optional worksheet Name As String = vb Null String, Optional merged File Name As String = "merged.xlsx") Dim file Name As Variant, wb As Workbook, ws As Worksheet, dest Wb As Workbook, excel App As Application Set excel App = New Application Set dest Wb = excel App. Add For Each file Name In file Names Set wb = excel App. Open(file Name, Read Only = True) For Each ws In wb.

Today we going to explore just that – how to merge multiple Excel Workbook spreadsheets into a single Workbook. As this is also a typical scenario I have modified the above Test procedure to accommodate just that: Sub Test Merge Directory() Dim file Names() As String, curr Index As Long, file Name As String, directory As String directory = This Workbook.

The obvious tool for this task is Visual Basic for Applications so let us jump right in. Path & "\Some Dir\" Re Dim file Names(0 To 0) As String file Name = Dir(directory) file Names(0) = directory & file Name Do Until file Name = vb Null String curr Index = curr Index 1 Re Dim Preserve file Names(0 To curr Index) As String file Name = Dir file Names(curr Index) = directory & file Name Loop Re Dim Preserve file Names(0 To curr Index - 1) As String Merge Excel Files file Names End Sub What happens is that we use the VBA Dir function to loop through all files within a selected directory.

Use the Categoricals are a pandas data type, which correspond to categorical variables in statistics: a variable, which can take on only a limited, and usually fixed, number of possible values (categories; levels in R).