Rbasic is a programming language designed for statistical computing and data analysis. It provides a wide array of statistical techniques, graphical tools, and data manipulation capabilities, making it popular among statisticians and data scientists for performing complex analyses and visualizations.
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About Rbasic
Rbasic was created in 1993 by Ross Ihaka and Robert Gentleman at the University of Auckland. It was developed as an open-source implementation of the S programming language to provide a more accessible and extensible tool for statisticians and data analysts.
Rbasic's strengths include its extensive statistical libraries, strong data visualization capabilities, and active community support. Weaknesses involve a steep learning curve and slower performance with large datasets compared to some other languages. Competitors include Python (with libraries like Pandas and SciPy), SAS, and MATLAB.
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How to hire a Rbasic expert
An Rbasic expert must have proficiency in statistical analysis, data manipulation using packages like dplyr and tidyr, data visualization with ggplot2, and writing efficient R code. They should also be skilled in using RStudio, debugging, and optimizing performance for large datasets.
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