If you want to rotate your data frequently to view it from different angles, consider creating a PivotTable so that you can quickly pivot your data by dragging fields from the Rows area to the Columns area (or vice versa) in the PivotTable Field List. Verify these formulas use absolute references-if they don’t, you can switch between relative, absolute, and mixed references before you rotate the data.
If your data includes formulas, Excel automatically updates them to match the new placement. Tom’s Tutorials For Excel: Transform a Range Into a Single Column List Here’s how you can take a range of data comprised by multiple columns and rows, and list its items in a single column. Īfter rotating the data successfully, you can delete the original table and the data in the new table will remain intact. Right-click over the top-left cell of where you want to paste the transposed table, then choose Transpose. The new table that you paste there will entirely overwrite any data / formatting that’s already there. would be great if I could get an efficient way of doing this.Note: Ensure that you copy the data to do this, since using the Cut command or Ctrl+X won’t work.Ĭhoose a new location in the worksheet where you want to paste the transposed table, ensuring that there is plenty of room to paste your data. I tried it on python melt method and that is working. Using Paste Special Command 1.1 Paste Special Command from Ribbon 1.2 From Keyboard Shortcut 2. How to do it in VBA with an efficient way? 6 Methods to Transpose Rows to Columns in Excel 1. We will get the result converted to rows to columns. Choose to paste special, and we will find the transpose button. Important thing is to get the values matched for weekday and period in all three datasets. Steps to use transpose: Start the cell by selecting and copying an entire range of data. the output instance is as below.ĭay Period of Day Ideal HoursĚctual Hours Schedule I want to join and convert them in a long format. The hours sort might be different in three datasets, but they follow the same pattern. 24 rows for daily hours periods and values for weekdays for each period. I have three weekly datasets for Ideal Hours, Actual Hours and Scheduled hours.
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