☑️Top 10 Tableau Interview Questions for Data Analysts 📊

1. What is Tableau and why convert analyzed data into visualizations? 
   Tableau helps translate raw data into visual stories, making complex info easier and faster to understand.

2. What are the key features of Tableau? 
   Real-time data analysis, advanced visualizations, collaboration, and data blending are among its best features.

3. Explain the difference between Tableau Desktop, Tableau Server, and Tableau Online. 
   Desktop is for report building, Server is self-hosted sharing, and Online is the cloud-hosted counterpart.

4. What is data blending in Tableau and when would you use it? 
   Combining data from different sources on a common field to perform analysis without physically joining tables.

5. How do you create calculated fields in Tableau? 
   Right-click data pane > Create Calculated Field > enter formula using Tableau's syntax.

6. Describe a challenging Tableau project you’ve worked on and how you handled it. 
   For instance, integrating disparate data formats using data cleaning and blending to deliver unified dashboards.

7. How do you ensure data accuracy and integrity in Tableau projects? 
   Data validation, cleansing, and automating quality checks regularly to keep data consistent.

8. What is the difference between dimensions and measures? 
   Dimensions categorize data (like names, dates), while measures are quantitative (like sales, profit).

9. Explain discrete vs continuous fields in Tableau. 
   Discrete are distinct values shown as headers; continuous are numeric ranges shown on axes.

🔟 What types of filters are available in Tableau? 
Extract, context, data source, dimension, measure, and table calculation filters.

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

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