R language capabilities for big data analytics: innovation and practice

Abstract

The article analyzes the capabilities of the R programming language for big data analytics, focusing on innovation and practical applications. It discusses how the open-source community and collaboration model have contributed to R’s success in various fields such as biostatistics, finance, social sciences, public health, and environmental studies. The paper highlights the advantages, challenges, and strategies for the sustainable development of R in the context of rapidly evolving data science.