The product you’ve described is an optimized and complete data analysis environment that supports both R and Python. Here are the key components and features:
Optimized R (Version 4.3): This environment includes a specially optimized version of R, labeled as “OPMI 18.104.22.168,” which is likely fine-tuned for improved performance and efficiency. It’s based on R version 4.3.
R with >29k Installed Packages: This environment boasts a vast number of installed R packages, exceeding 29,000. These packages provide a wide range of functionality for data analysis, statistics, machine learning, visualization, and more.
Free RStudio Desktop: RStudio Desktop is a popular integrated development environment (IDE) for R. It provides a user-friendly interface for writing R code, exploring data, and creating visualizations.
Free RServer (Version 2023.03.1+446): RServer is likely a server-based component that extends the capabilities of R for server-side data processing and analytics. The version provided is “2023.03.1+446.”
Shiny (Version 22.214.171.1242): Shiny is an R package that allows you to create interactive web applications directly from R. It’s a powerful tool for building and sharing data-driven web apps.
Complete Intel Performance Python 2 & 3: In addition to R, this environment supports both Python 2 and Python 3. “Complete Intel Performance” suggests that it may be optimized for improved Python performance using Intel hardware.
Overall, this environment is designed to provide users with a comprehensive set of tools for data analysis and data science. It combines the strengths of both R and Python, along with a wide selection of packages and development tools. The optimized versions of R and Python are likely tailored to deliver enhanced performance compared to standard versions.
Users who work with large datasets, complex analyses, and data-driven web applications may find this environment valuable for their data science and analysis needs.