Headers are not preserved as a special layer
If the first row is name,Ada,Grace, those cells become part of the first output column after transposition. The tool transposes the entire matrix; it does not keep a header row fixed while rotating only the data.
Ragged rows are padded with blanks
If some CSV rows have fewer cells than others, the widest row defines the matrix width. Missing cells are filled with blanks. A surprising number of blanks in the output can therefore reveal inconsistent row lengths in the source CSV.
Transpose is not the same as pivot/unpivot
This operation only swaps coordinates. It does not group by keys, aggregate values, or turn category values into generated columns. For those reshaping jobs, a pivot or other structured transformation is a better fit.
A wide table can become a tall one
A 5-row × 100-column matrix becomes 100 rows × 5 columns. That can make a human-readable table easier to scan, but it can also change which side of an import limit you hit, so check the resulting shape.
A practical example
Use it for small exports where attributes were arranged vertically and records horizontally. After transposing, verify that the new first row has the header meaning you actually need before saving.
If you want the deeper picture