- Data Science Boom: With the rise of data science, R became increasingly popular for data analysis, visualization, and statistical modeling.
- Community: A vibrant community of users and contributors developed, enhancing R’s functionality and resources through packages like ggplot2, dplyr, and tidyverse.
- Integration: R has seen improved integration with other programming languages and tools, such as Python and SQL, further broadening its application.
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