Statistical analysis software like SPSS and SAS are commonly used for breaking down quantitative data sets, providing various statistical tools and methods for analyzing numerical information. These programs are particularly useful for large data sets and complex statistical analyses. However, when dealing with subjective data, different programming is needed. Subjective statistical software like NVivo or Atlas.ti is specifically designed to handle and analyze subjective information. These programs allow scientists to organize, code, and break down printed, sound, or visual data, enabling topical examination, content investigation, and other subjective examination procedures. The choice of software for information analysis greatly affects the participants' involvement in the study. Quantitative reports typically involve organized polls or reviews, providing mathematical information that can be easily measured and broken down using statistical strategies. In contrast, subjective reports gather rich, top-to-bottom information through meetings, perceptions, or real inquiries. Members in subjective studies often have more opportunities to share their viewpoints and experiences, revealing subjects, examples, and implications within the information. One significant difference between quantitative and subjective data analysis is the concept of actual information. Quantitative information is mathematical and can be easily measured and broken down using statistical strategies, while subjective information is non-mathematical and requires