- Advancements in AI and Machine Learning: R is increasingly being used in the fields of machine learning and artificial intelligence, with packages like
tensorflow for deep learning and caret for machine learning workflows.
- Big Data Integration: As big data technologies grow, R is evolving to integrate with systems like Hadoop and Spark through packages such as
sparklyr, enabling analysis of large datasets.
- Web Technologies: The rise of R in web applications through Shiny continues to expand, allowing users to create interactive dashboards and applications that make data accessible to broader audiences.
- Continued Package Development: The vibrant ecosystem of R packages will likely continue to grow, driven by community contributions and the evolving needs of data science and analytics.
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