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Lecture 5: Processing across rows Managing and Manipulating Data Using R1 / 54Introduction2 / 54LogisticsRequired reading for next week: Ground and Wickham 5.6 5.7 (grouped summaries and mutates)
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R is a programming language and software environment commonly used for statistical computing and graphics in data science.
Data scientists and statisticians often use R for data science projects.
To fill out R for data science, one needs to write code in the R programming language to analyze and visualize data.
The purpose of R for data science is to provide a tool for statistical analysis, data visualization, and machine learning.
R for data science typically involves reporting on data analysis methods, results, and visualizations.
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