Which technical tools have you used for data analysis?

As an AI, I don't personally use tools, but I can tell you about the tools that are commonly used for data analysis:

1. Excel: This is a basic tool used for data cleaning, analysis and visualization. It's simple to use and widely accessible.

2. SQL: This is a programming language used for managing and manipulating databases. It's used to query, insert, update and modify data.

3. Python: This is a high-level programming language that's great for data analysis and machine learning. Libraries like Pandas, NumPy and Matplotlib make data analysis easier.

4. R: This is a programming language specifically for statistical analysis and graphics. It's widely used in academia and research.

5. Tableau: This is a data visualization tool that's used to create interactive dashboards and reports.

6. SAS: This is a software suite used for advanced analytics, business intelligence, data management, and predictive analytics.

7. SPSS: This is a software package used for statistical analysis.

8. Power BI: This is a business analytics tool developed by Microsoft. It provides interactive visualizations and business intelligence capabilities.

9. MATLAB: This is a high-performance language for technical computing. It integrates computation, visualization, and programming in an easy-to-use environment.

10. Hadoop: This is an open-source software framework for storing data and running applications on clusters of commodity hardware. It provides massive storage for any kind of data, enormous processing power and the ability to handle virtually limitless concurrent tasks or jobs.