Post #2285

Tableau Interview Questions with AnswersPart-4✅📊 31. What are the limitations of Tableau? It can be costly for large deployments, has limited advanced statistical analysis compared to tools like R, struggles with very large datasets in live mode, and has a learning curve for complex calculations. 32. How do you optimize Tableau dashboards for performance? Use extracts instead of live connections, limit filters and quick filters, minimize the number of marks and calculations, use context filters wisely, and optimize data sources by removing unnecessary columns. 33. What are best practices for data visualization in Tableau? Keep visuals simple, choose appropriate chart types, use consistent colors, avoid clutter, use filters to focus on important data, and ensure dashboard interactivity for user exploration. 34. What is the difference between discrete and continuous data? Discrete data represents distinct, separate values (blue pills) like categories; continuous data represents a range of values (green pills) like sales numbers that can be measured continuously. 35. What are dimensions and measures in Tableau? Dimensions are categorical fields used to slice data (e.g., region, product), and measures are numeric fields you aggregate for analysis (e.g., sales, profit). 36. Explain the use of table calculations in Tableau. Table calculations are computations applied to the data in the view, such as running totals, percent of total, moving averages, which are computed after aggregation. 37. How do you create a map in Tableau? Connect to geographical data (like country, state, zip code), drag geographic fields into rows/columns, and Tableau automatically generates map visualizations. 38. How do you use custom geocoding in Tableau? You can import your own latitude and longitude data to map custom locations or modify Tableau's geographic roles for new areas not in default data. 39. What is the difference between a live connection and an extract? Live connection queries the data source directly in real-time; extract is a snapshot of data saved locally for faster performance and offline use. 40. When should you use a live connection vs. an extract? Use live when data must be current and updated in real-time; use extracts when needing faster performance or working offline. Double Tap ♥️ For Part-5 😊