There are several tools and software available for data analysis and research. Here are some popular options:

1. Microsoft Excel: Excel is a widely used spreadsheet software that offers various data analysis functions, including sorting, filtering, pivot tables, and charts. It is suitable for basic data analysis and visualization.

2. SPSS (Statistical Package for the Social Sciences): SPSS is a comprehensive statistical analysis software that allows for advanced data manipulation, descriptive statistics, regression analysis, and data visualization. It is commonly used in social sciences research.

3. SAS (Statistical Analysis System): SAS is a powerful software suite used for advanced analytics, predictive modeling, and statistical analysis. It provides a range of modules and capabilities for data management, data mining, and reporting.

4. R: R is a popular open-source programming language and environment for statistical computing and graphics. It offers a wide range of packages and libraries for data manipulation, visualization, and advanced statistical analysis.

5. Python: Python is a versatile programming language with various libraries and frameworks for data analysis, such as NumPy, Pandas, and Matplotlib. It provides extensive capabilities for data cleaning, manipulation, statistical analysis, and visualization.

6. Tableau: Tableau is a data visualization and business intelligence tool that allows you to create interactive and visually appealing dashboards, charts, and reports. It can connect to different data sources and perform data analysis and exploration.

7. Google Analytics: Google Analytics is a web analytics platform that provides valuable insights into website traffic, user behavior, conversions, and marketing campaigns. It offers a range of reporting and analysis features to track and optimize online performance.

8. Qualtrics: Qualtrics is a powerful online survey platform that enables you to design and distribute surveys, collect responses, and analyze data. It provides advanced survey logic, data visualization, and reporting features.

9. NVivo: NVivo is qualitative data analysis software designed for analyzing unstructured data such as interviews, focus groups, and surveys. It helps organize, code, and analyze qualitative data to uncover themes and patterns.

10. IBM SPSS Modeler: SPSS Modeler is a data mining and predictive analytics software that helps build predictive models and make data-driven decisions. It offers visual drag-and-drop functionality and supports various data sources.

These are just a few examples of tools and software available for data analysis and research. The choice of tool depends on your specific requirements, budget, and technical expertise.