# Transpose ### Why transpose Transposing data turns a dataframe's columns into rows, and rows into columns. Usually pandas dataframes are organized such that each row represents a record, transaction, object, etc., and each column represents a different attribute of those records. When your data is organized in the opposite orientation, using transpose is a helpful step in preparing your data. ### How to transpose your data To transpose a dataframe: 1. Select the dataframe that you want to transpose. 2. Select the `Insert` tab. 3. Click `Transpose`. The transpose operation creates a new dataframe in your Mito spreadsheet. It is named the name of the transposed dataframe appended with `_transposed`.