Tabulizer can automatically split a large table into multiple smaller tables by limiting the maximum number of rows displayed in each table. This is useful when you want to break a long dataset into more manageable sections while preserving the same table structure and columns in every split table.

Instead of splitting a table by a fixed number of rows, Tabulizer can create a separate table for each unique value found in a selected column. All rows that share the same value in that column are grouped together in the same split table. This is particularly useful for datasets that naturally belong to categories, such as departments, countries, product types, or teams.

This is a variation of the column-based split. Tabulizer first groups the rows into separate tables according to the value of a selected column, and then hides that column from the resulting tables. This is useful when the grouping value is already clear from the context or table heading, avoiding unnecessary repetition of the same value within every row.