Learn Tableau by Working on Exciting Dashboards - Fixed LOD

This tutorial explains fixed level of detail (LOD) expressions in data analysis. It covers how to use the fixed keyword to calculate subcategory contributions to category sales, create calculated fields, and verify calculations. The tutorial emphasizes that fixed calculations are independent of view dimensions, allowing for flexible data analysis.

What is the primary purpose of using fixed level of detail expressions?

• To dynamically change the level of detail based on user input.

• To fix the level of detail to a specific dimension, regardless of the view.

• To automatically adjust the level of detail based on data size.

• To create a visual representation of data without any dimensions.

Which keyword is used to fix the LOD expression to a specific dimension?

• Fixed

• Bind

• Set

• Lock

What is the first step in creating a calculated field using fixed LOD expressions?

• Mention the dimension and use the fixed keyword.

• Select the data source.

• Drop the category to the rows.

• Create a new sheet.

How do you verify the calculated category sales using fixed LOD expressions?

• By checking if the values match the individual sales of subcategories.

• By comparing it with the total sales of all categories.

• By comparing it with the sales recorded in a separate sheet.

• By ensuring the values are consistent across different views.

What is the purpose of dividing individual sales by category sales in this tutorial?

• To calculate the percentage contribution of each subcategory.

• To find the total sales of all categories.

• To identify the highest selling subcategory.

• To determine the average sales per category.

Why does the fixed calculation not require the dimension to be present in the view?

• Because it automatically adjusts to any dimension.

• Because it is independent of the view's dimensions.

• Because it only works with subcategories.

• Because it is a temporary calculation.

What happens to the percentage contribution if the category is removed from the view?

• The percentage contribution remains the same.

• The percentage contribution becomes zero.

• The percentage contribution changes.

• The percentage contribution doubles.