Higher dimensional tables are currently very difficult to work with and extract the required data for your visualizations. Is it possible to make it easier for users to extract the required rows or columns from the table without the need to write code? Here are two examples: Using a combo box to select multiple columns (i.e. Brands) for a single row (i.e. imagery statement) ## Table1 (_BrandsbyStatement)_ uses a combo box to extract a number of brands and shows their result over time. The R-Code is in Table 1. ## Table 2 (_data.for.brand)_ aims to extract multiple statements for multiple brands and trend their results over time. This works perfectly fine if you select a single brand in the combo box, however, the table gets flattened and makes it impossible to show the results for multiple brands over time for multiple statements. It will be great if we can give users more control over extracting the required rows or columns from higher dimensional tables.