The article introduces a new way to handle complex data in multiple dimensions, where traditional methods fall short. By using measure transportation-based ranks and signs, researchers have developed a method that works well for analyzing data without needing specific assumptions about the data's distribution. This new approach allows for more efficient analysis of data sets with unknown characteristics, providing accurate results even with limited information.