What features make Tableau popular with data analysts? \( \square \) Complex data visualization capabilities \( \square \) Ability to handle data from multiple sources \( \square \) Intuitive drag-and-drop interface \( \square \) Built-in advanced scientific calculations

Tableau is popular among data analysts for several key features: 1. **Complex Data Visualization Capabilities**: Tableau allows users to create a wide range of visualizations, from simple charts to complex dashboards, enabling analysts to present data in a visually appealing and insightful manner. 2. **Ability to Handle Data from Multiple Sources**: Tableau can connect to various data sources, including databases, spreadsheets, and cloud services, allowing analysts to integrate and analyze data from different platforms seamlessly. 3. **Intuitive Drag-and-Drop Interface**: The user-friendly interface of Tableau makes it easy for analysts to create visualizations without needing extensive programming knowledge. The drag-and-drop functionality simplifies the process of building reports and dashboards. 4. **Built-in Advanced Scientific Calculations**: Tableau includes a variety of built-in functions and calculations that allow analysts to perform complex data analysis directly within the platform, enhancing its analytical capabilities. These features collectively contribute to Tableau's popularity among data analysts, making it a powerful tool for data visualization and analysis.