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.