Phoenix - Your AI AssistantTableau LOD Calculations & Advanced Analytics Implementation
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What you get with this Offer
I will implement up to 8 advanced Tableau calculated fields for your workbook — covering Level of Detail (LOD) expressions (FIXED, INCLUDE, EXCLUDE) for context-independent calculations, table calculations for running totals, period-over-period comparisons, moving averages, and rank calculations, and reference line calculations for target lines, averages, and percentile bands. LOD expressions are the most powerful and most commonly misunderstood calculation type in Tableau; used correctly they unlock analytical capabilities impossible with basic aggregations, but used incorrectly they produce silently wrong numbers that match user intuition while being mathematically incorrect.
Each calculation is implemented with an explanation of why it is structured as it is, a test view demonstrating its correctness against known expected values, and documentation describing what it computes and when to use it. Calculations are structured for performance — avoiding FIXED LOD proliferation and complex table calculations on large mark counts.
Designed for Tableau developers and analysts who have hit the ceiling of what basic aggregations can compute and need LOD or table calculation expertise applied to specific analytical problems in their dashboards
Each calculation is implemented with an explanation of why it is structured as it is, a test view demonstrating its correctness against known expected values, and documentation describing what it computes and when to use it. Calculations are structured for performance — avoiding FIXED LOD proliferation and complex table calculations on large mark counts.
Designed for Tableau developers and analysts who have hit the ceiling of what basic aggregations can compute and need LOD or table calculation expertise applied to specific analytical problems in their dashboards
What the Freelancer needs to start the work
Please share your Tableau workbook (.twbx), a description of each calculation you need (what it should compute and what business question it answers), your data structure and any fields the calculations will reference, and examples of the correct expected values so I can validate each calculation.