This example demonstrates how to restructure a tabular dataset of radio station monthly play counts from a long format into a wide pivot table, showing each station’s reproductions across the twelve months of the year. The notebook first loads the data with `pandas.read_table` from a remote TSV file, displays the initial rows, then uses the `pivot` method to reorganize the data with radio stations as rows and months as columns. Finally, the reshaped table can be exported with `to_csv` for further analysis.