International Journal of Science, Engineering and TechnologyAuthors: Adarsh Ravi Mishra
Abstract: Two of the most popular computer languages for statistical analysis and data research are Python and R. Large libraries and frameworks that support machine learning, data manipulation, and visualization are available in both languages. This study compares Python with R, emphasizing their advantages, disadvantages, and applicability to various data science and statistical analysis applications. In addition to reviewing previous research, the study looks at data-driven research approaches and assesses how well both languages perform in a range of data science applications. The findings show that R is still the best option for statistical analysis and visualization, even while Python excels in scalability, integration with other technologies, and machine learning capabilities. The ramifications of these findings for practitioners, scholars, and data-driven companies are examined. The conclusion offers suggestions for selecting the right language depending on particular use cases and highlights the most important discoveries.
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