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Tableau Worksheet

📊 LOD Expressions

Chapter: Tableau · Level ★★☆ · Time: 30 min
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NameClassDate
After this worksheet you can
FIXED / INCLUDE / EXCLUDEControl aggregation levelClassic LOD use casesLOD vs table calcs
📚 Quick Recap

LOD Expressions are among the most powerful — and most misunderstood — features in Tableau. They let you compute aggregations at a different level of granularity than the current view, solving a whole class of analytics problems that are otherwise impossible with standard calculated fields or table calculations. Once you truly understand FIXED, INCLUDE, and EXCLUDE, your Tableau work will reach a completely different level.

🧠 Section A · Concept Check ● BEGINNER 4 × 1 = 4

1LOD stands for:
2Ignore view filters/dimensions with:
3Add finer detail into an aggregate with:
4Customer first-purchase date is a classic:

🧮 Section B · Problem Solving ● INTERMEDIATE 2 + 3×3 = 11

5Syntax: { FIXED [Customer] : ([Sales]) }.
6 removes a dimension from the calc's level.
7Average order value per customer regardless of view?
8FIXED vs INCLUDE in one line?
9Cohort by first purchase year - approach?

🚀 Section C · Challenge ● CHALLENGE 5

10Why did your FIXED ignore the region filter?
💭 Reflection — the most useful thing I learned:
A ___/4   B ___/11   C ___/5   Total ___/20 Teacher's Signature Parent's Signature
✂ answer key — fold or cut before handing out

1-A   2-A   3-A   4-A  |  5 SUM   6 EXCLUDE   7 = { FIXED [Customer] : AVG([Order Value]) }   8 = FIXED pins to stated dims; INCLUDE adds dims to the view level   9 = { FIXED [Customer] : MIN(YEAR([Order Date])) }  |  10 = Dimension filters apply after FIXED - use context filters

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