Typed Table Transformations
This addresses the problem of handling typed data in spreadsheets for users dealing with structured data, but it is incremental as it builds on existing concepts without demonstrating new applications or breakthroughs.
The paper tackles the problem of transforming spreadsheet tables by proposing a new approach based on row and column type transformations, but it does not provide concrete results or numbers, only illustrating the basic idea and outlining future research questions.
Spreadsheet tables are often labeled, and these labels effectively constitute types for the data in the table. In such cases tables can be considered to be built from typed data where the placement of values within the table is controlled by the types used for rows and columns. We present a new approach to the transformations of spreadsheet tables that is based on transformations of row and column types. We illustrate the basic idea of type-based table construction and transformation and lay out a series of research questions that should be addressed in future work.