Introduction to Tableau Level of Detail Expressions
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Introduction to Tableau Level of Detail Expressions

Updated: Mar 4, 2023


Tableau lod

Level of detail expressions (also known as LOD expressions) allow you to compute values at the data source level and the visualization level, giving you more control on the level of granularity you want to compute.

Types of LOD Expressions

There are three types of LOD expressions in Tableau.

  • FIXED LOD – This expression computes values on a specific dimension without reference to any other dimension in the view.

  • INCLUDE LOD – This expression computes values using dimension specified in the expression in addition to dimensions present in the view.

  • EXCLUDE LOD – This expression omits dimensions from the view level of detail.

LOD Expressions Syntax

The level of detail expression has the following structure.

{FIXED|INCLUDE|EXCLUDE <dimension declaration> : <aggregated expression>}

Tableau lod expressions syntax

Dataset

In this guide we use the Superstores data set pre-packaged with Tableau app to explore the Tableau LOD expressions.

You can download the data here to follow along.

FIXED Level of Detail Expressions

The FIXED Level of detail expression is used to compute values on a specific dimension without reference to the dimension in the view.

In this example, the FIXED level of detail expressions computes the sum profit per product category.

Tableau lod FIXED

When this expression ’Profit per category’ is placed under text shelf for a view with dimension ‘Category’ and ‘Sub-Category’, the expression returns identical values for each region.

Tableau lod fixed example

This is because, being a FIXED level of detail expressions, the calculation doesn’t consider the view level of detail, but only uses the dimension referenced in the calculation, in this case ‘Category’.

Therefore, this calculation returns the profit for each Category irrespective of dimension ‘Sub-Category’ being in the view – hence the reason for identical values.

INCLUDE Level of Detail Expressions

The INCLUDE level of detail expressions computes values using the dimension specified in the expression in addition to dimensions present in the view.

INCLUDE level of detail expressions is useful when you need to compute at a fine level of detail in the data source and then re-aggregate at a course level of detail in your view.

In this example, the INCLUDE level of detail expression computes the total profit per customer.

Tableau lod include

When this calculation ‘Sales per customer’ is dragged to the Text shelf -aggregated by AVG, and dimension ‘Region’ to the rows shelf. The resulting view will be showing average customer sales per region.

Tableau lod include example

This is because, the INCLUDE level of detail expression includes the dimension ‘Customer Id’ which is not in the view level without dragging it to the rows, columns or detail shelfs.

EXCLUDE Level of Detail expressions

The EXCLUDE level of detail expressions is used to omit dimensions from the view level of detail.

In this example, the level of detail expression is used to exclude ‘Sub-Category’ from the calculation of sum of profit.

Tableau lod exclude

When this calculation is placed on the text shelf and dimension field ‘Category’ and ‘Sub-Category’ on the rows shelf results to a similar view to the case FIXED level of detail expressions.

Tableau lod exclude example

This is because the level of detail expressions omits the dimension Sub-Category in the calculation leaving only dimension Category as the level of detail – similar to fixing dimension Category.

Examples of Tableau Level of Detail Expressions

Learning Tableau LOD expressions can be challenging without proper examples to guide you through. This article on Top 15 LOD expressions by Tableau will guide you through some of examples where Tableau LOD expressions is applicable.

I hope this article was helpful to you.

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Bernard K

Analytics Consultant | 3X Tableau Certified

Bernard is a data analytics consultant helping businesses reveal the true power of their data and bring clarity to their reporting dashboards. He loves building things and sharing knowledge on how to build dashboards that drive better outcomes.

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