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• Improved data management and manipulation tools
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• R: A programming language and software environment for statistical computing and graphics. It's widely used and has a large community of users and developers.
• Python Libraries: Libraries such as Pandas, NumPy, SciPy, and Statsmodels offer powerful data analysis capabilities.
• Open Source Software: Programs like PSPP are designed to be compatible with SPSS syntax and offer similar functionality for those on a budget.