Which among the following is an open-source software for data analysis?

The correct option is R.

To understand why this is the correct choice, let's look at the definitions of open-source and proprietary software in the context of the given options:
1. Open-Source Software: This refers to software whose source code is released under a license in which the copyright holder grants users the rights to use, study, change, and distribute the software to anyone and for any purpose. It is typically developed collaboratively and is free to use.
2. Proprietary (Closed-Source) Software: This is software for which the publisher or another creator retains intellectual property rights. Users must purchase a license to use it, and they cannot view, modify, or redistribute the source code.

Now, let's analyze the options provided:
• R: R is a highly popular programming language and free software environment designed specifically for statistical computing, data analysis, and graphics. It is open-source and maintained by the R Development Core Team.
• SPSS: Developed by IBM, SPSS (Statistical Package for the Social Sciences) is a proprietary software suite used for batched and non-batched statistical analysis. It requires a paid license.
• MATLAB: Developed by MathWorks, MATLAB (Matrix Laboratory) is a proprietary programming and numeric computing platform used by engineers and scientists. It requires a paid commercial or academic license.
• MINITAB (written as MINITAR in the option): Minitab is another proprietary statistical software package designed for quality improvement and education, which also requires a paid license.

Therefore, R is the only open-source software among the choices listed.