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R

R is a programming language and software environment designed for statistical computing and graphics. It provides a wide variety of statistical techniques, graphical methods, and is highly extensible through packages.

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About R

R was created in 1993 by Ross Ihaka and Robert Gentleman at the University of Auckland, New Zealand. It was developed as an open-source implementation of the S programming language to facilitate statistical analysis and data visualization.

R's strengths included its extensive package ecosystem, strong data visualization capabilities, and robust statistical analysis tools. Its weaknesses were a steep learning curve for beginners and slower performance with large datasets. Competitors included Python (with libraries like Pandas and Matplotlib), SAS, and SPSS.

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How to hire a R expert

An R expert must have skills in statistical analysis, data manipulation using dplyr, data visualization with ggplot2, writing efficient R scripts, and proficiency in using R Markdown for reporting. They should also be adept at creating and managing R packages and familiar with advanced techniques such as machine learning and time series analysis using relevant R packages.

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