Forum Discussion
Best way to combine 400 small tables in Excel?
Jigyasa Are you using the From Folder connector? If you have the 27 sheets in one Folder, and the 15 tables have the same names in each of them, then you would need 1 query for each group of tables. That is 15!
So, for example each query will connect to all tables called "Table1" in all 27 workbooks, creating one large Table1. Do that for all 15 tables. And then you can append the 15 large tables into one.
- Riny_van_EekelenDec 21, 2022Platinum Contributor
JigyasaI thought you had 27 workbooks, each with 15 tables in it. So, you have one workbook, with 27 sheets in it, each having 15 tables on it?
And my I presume that the tables are structured Excel tables.
If so, then connect to the workbook. Select the workbook name in the Navigator and press transform.
In the next screen you can, for example, filter all rows where the Kind is Table and then expand the Data column.
If all of this does not make sense, explain how you are currently connecting to all the tables. Include screenshots like the ones above, showing the steps you take.
- JigyasaDec 21, 2022Copper ContributorThis is essentially what I've done just that I've gone the long route and added it table by table but I'm not sure if it can refresh any faster
- JigyasaDec 21, 2022Copper ContributorHi,
The only issue with this is, my tables look like this
https://ibb.co/MBB7NBX
and each worksheet is monthly data. So when I upload them individually to a query, I'm extracting the first column name to create a client column and adding a new field to include which month the table is from. The month information is in the table name, example: clientABC_july22, but I have not been able to import.
So essentially the reason I'm uploading each table individually is so I can include the client name and month of the table into the data so that I can differentiate this data when I eventually append it all into one big table.- JigyasaDec 21, 2022Copper Contributorhttps://www.linkpicture.com/q/tables_1.png
Apologies for the bad link.