![]() I can't easily test this on my end since I don't have valid credentials to connect to your SharePoint site so I don't get any previews in the query editor of your file. #"Expand Records" = Table.ExpandRecordColumn(#"Grouped Rows", "Tbl", ColNames, ColNames) #"Merge Columns" = Table.AddColumn(#"Promoted Headers", "JobID+Ticket", each Text.Combine(), It is presumed to be deleted based on the column A. Excel will remove duplicates, keep the first record of. #"Promoted Headers" = Table.PromoteHeaders(Source, ), 1 I have two columns from which I need to remove duplicate rows. To remove or delete duplicates from a data set using Remove Duplicates on the Data tab in the Ribbon. I think you could insert that merge into the Transform File (2) function like this: let If you're getting not found, that means you didn't create that column before referencing it or are referencing the wrong step. Module Add and Delete Table Data 5 Learning Outcomes Add a row to a table Delete a table row Add a column to a table Remove duplicate data from a. If we want to remove duplicate rows in a single column, we need to select the column and choose Remove duplicates button in the Data tab. Hopefully, it at least gives you progress details when loading. Now that you have removed duplicate rows and columns from your data frame you might want to use R to add a column to the data frame based on other columns. In this case, since we only have a single column, all we need to confirm is whether our data has a header row. If you are using Excel 2003, click Data > Filters, then choose Advanced Filters. A dialog box will appear asking you to confirm a few things. After selecting your table, simply click the Data tab, and in the Sort & Filter section, click Advanced. Use the Resize Table Feature in Excel If you want to work with both tables and columns, whether adding or deleting them, the handiest way is with the Resize Table feature. Excel removes all identical rows (blue) except for the first identical row found (yellow). Leave all check boxes checked and click OK. ![]() On the Data tab, in the Data Tools group, click Remove Duplicates. I wouldn't expect to be very fast regardless of how good the approach is since you have to do it all locally in memory rather than being able to push it back to a server that's good at that kind of thing. One option for removing duplicates is to select any cell within the range and go to Data > Remove Duplicates. Click any single cell inside the data set. You've got a big dataset from a non-database source.
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