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Data Blending

Combines data from multiple sources during analysis.

Used when: ✔ Different databases, ✔ Separate systems

109. What are LOD Expressions?

Answer:

LOD (Level of Detail) Expressions allow calculations at different granularities.

Types:

✔ FIXED

✔ INCLUDE

✔ EXCLUDE

Example: {FIXED [Region] : SUM([Sales])}

One of Tableau's most important interview topics.

110. Explain Table Calculations

Answer:

Table Calculations perform computations on displayed data.

Examples:

✔ Running Total

✔ Moving Average

✔ Percentage Difference

111. What are Actions in Tableau?

Answer:

Actions create interactivity.

Types:

✔ Filter Actions

✔ Highlight Actions

✔ URL Actions

Example: Clicking a region filters other charts.

112. How Do You Optimize Dashboards?

Answer:

Best Practices:

✔ Use extracts

✔ Reduce worksheets

✔ Limit filters

✔ Optimize calculations

✔ Remove unused fields

113. Explain Context Filters

Answer:

Context Filters create a temporary subset of data.

Process: Context Filter → Other Filters

Benefits:

✔ Faster filtering

✔ Better performance

114. What is a Dual-Axis Chart?

Answer:

A Dual-Axis Chart displays two measures on the same chart.

Example: Sales and Profit on one visualization.

Used for:

✔ Comparisons

✔ Trend analysis

115. Explain Data Source Filters

Answer:

Data Source Filters restrict data at the source level.

Benefits:

✔ Better performance

✔ Improved security

✔ Reduced data volume

🔥 Most Important Tableau Topics for Data Analyst Interviews

Recruiters frequently ask about:

✅ Dimensions vs Measures

✅ Calculated Fields

✅ Parameters

✅ Filters

✅ Sets and Groups

✅ LOD Expressions

✅ Table Calculations

✅ Dashboards

✅ Tableau Prep

✅ Dashboard Optimization

💡 Common Tableau Scenario Questions

Q: How would you build a sales dashboard in Tableau?

Answer:

Include:

✔ KPI Cards,

✔ Sales Trend Chart,

✔ Region Analysis,

✔ Product Analysis,

✔ Filters and Parameters

Q: How would you improve a slow Tableau dashboard?

Answer:

✔ Use Extracts

✔ Reduce Marks

✔ Optimize Calculations

✔ Use Context Filters

✔ Remove Unused Data

Q: Why are LOD Expressions important?

Answer:

They allow calculations independent of visualization level.

Example: Calculate regional sales while viewing city-level data.

🚀 Interview Tip

For Tableau interviews, don't just explain concepts. Be prepared to discuss:

✔ Dashboards you've built

✔ KPIs you've tracked

✔ Business problems solved

✔ Visualizations chosen and why

✔ Performance optimization techniques

Tableau Resources: https://whatsapp.com/channel/0029VasYW1V5kg6z4EHOHG1t

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