Update existing table with next month's data

JackDanIce

Well-known Member
Joined
Feb 3, 2010
Messages
9,922
Office Version
  1. 365
Platform
  1. Windows
Hi,

I'm trying to set up the following using Power Query:
An Excel file that reads data from a CSV file, adds to an existing table and outputs all unique dates

Every month a new CSV file with data is generated which needs to be added to existing data
I have created a query that reads data from a CSV file and loads to connection only
I know how to append this table to an 'existing table' and remove duplicate dates
I wish to connect the updated table (with new data) to a worksheet (eventually it'll be to pivot tables)

Final output
Dashboard containing pivot charts and calculated metrics

Data file:
2,031 columns( this will be reduced*)
Max rows: 33 [2 header rows + 31 days in a month; I have a query step to remove row 2 as it is not needed]
For now, yes Excel is being used to hold all data for all months

For the first read of data, I do not have a 'current' table to add data to.

It seems like there are two cases: Initial data read and Subsequent data reads, how do I set this up?

This seems like a common situation, but I've not been able to successfully search for a solution.
Any ideas please?

TIA,
Jack

* Separately I'm using Table.Buffer() but the data refresh from CSV into Excel is very slow when I test with a different CSV file. This is a separate, though, related question if answer can include suggestions to speed up data reads, that would also be appreciated.
 

Excel Facts

Is there a shortcut key for strikethrough?
Ctrl+S is used for Save. Ctrl+5 is used for Strikethrough. Why Ctrl+5? When you use hashmarks to count |||| is 4, strike through to mean 5.
Because I was unaware of it? lol thanks Sandy666 :)
PS Anything on the slowness? Have tried table.buffer but little effect :( Still discovering Power Query and how to use it, but it's not fast with data loads and transformations. The previous problem I posted about, I ended up doing it all in VBA, was much faster.
 
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