Note that if all dimensions are selected, then the entire table is in scope. The calculation starts over for every year. So the calculation transforms the difference from each month across all quarters within a year. Table (across)Ĭomputes across the length of the table and restarts after every partition.įor example, in the following table, the calculation is computed across columns (YEAR(Order Date)) for every row (MONTH(Order Date)).Ĭomputes down the length of the table and restarts after every partition.įor example, in the following table, the calculation is computed down rows (MONTH(Order Date)) for every column (YEAR(Order Date)).Ĭomputes across the length of the table, and then down the length of the table.įor example, in the following table, the calculation is computed across columns (YEAR(Order Date)), down a row (MONTH(Order Date)), and then across columns again for the entire table.Ĭomputes down the length of the table, and then across the length of the table.įor example, in the following table, the calculation is computed down rows (MONTH(Order Date)), across a column (YEAR(Order Date), and then down rows again.įor example, in the following table, the calculation is computed down rows (MONTH(Order Date)) for a single pane.Ĭomputes across an entire pane and then down the pane.įor example, in the following table, the calculation is computed across columns (YEAR(Order Date)) for the length of the pane, down a row (MONTH(Order Date)), and then across columns for the length of the pane again.Ĭomputes down an entire pane and then across the pane.įor example, in the following table, the calculation is computed down rows (MONTH(Order Date)) for the length of the pane, across a column (YEAR(Order Date)), and then down the length of the pane agian.Ĭomputes only within the dimensions you specify.įor example, in the following visualization the dimensions, Month of Order Date and Quarter of Order Date, are the addressing fields (since they are selected), and Year of Order Date is the partitioning field (since it is not selected). But when you use Specific Dimensions, then it’s up to you to determine which dimensions are for addressing and which for partitioning. When you add a table calculation using the Compute Using options, Tableau identifies some dimensions as addressing and others as partitioning automatically, as a result of your selections. So when you order the fields in the Specific Dimensions section of the Table Calculation dialog box from top to bottom, you are specifying the direction in which the calculation moves through the various marks in the partition. The direction in which the calculation moves (for example, in calculating a running sum, or computing the difference between values) is determined by the addressing fields. Partitioning fields break the view up into multiple sub-views (or sub-tables), and then the table calculation is applied to the marks within each such partition. The remaining dimensions, upon which the table calculation is performed, are called addressing fields, and determine the direction of the calculation. The table calculation is performed separately within each partition. The dimensions that define how to group the calculation (the scope of data it is performed on) are called partitioning fields. When you add a table calculation, you must use all dimensions in the level of detail either for partitioning (scoping) or for addressing (direction). Specifically, the virtual table is determined by the dimensions within the “level of detail,” which means the dimensions on any of the following shelves or cards in a Tableau worksheet: This table is not the same as the tables in your data source. Transforming values to show percent of totalįor any Tableau visualization, there is a virtual table that is determined by the dimensions in the view.
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