Scientists have developed a way to create smaller, easier-to-understand tables from large, complex datasets. By selecting specific rows and columns, they can capture important patterns in the data. They use a special metric to measure how well these smaller tables represent the original data. Although it's difficult to find the perfect selection of rows and columns, they have created an efficient method that works well in practice. This approach helps users quickly understand the data and make informed decisions based on the results.