We have hosted the application r4ds r for data science in order to run this application in our online workstations with Wine or directly.
Quick description about r4ds r for data science:
�R for Data Science� (r4ds) is the source material (book + examples) by Hadley Wickham et al., intended to teach data science using R and the tidyverse. It covers the workflow from importing data, tidying, transforming, visualizing, modelling, communicating results, and programming in R. The repository contains the source files (Quarto / RMarkdown), example datasets, visualizations, exercises, and all content needed to build the book.Features:
- Comprehensive coverage of data-science workflow: data import, cleaning, transformation, exploration, modelling etc.
- Uses the tidyverse set of R packages (e.g. dplyr, ggplot2, tidyr) for idiomatic R data manipulation and visualization
- Includes many example datasets, diagrams, code samples, and �hands-on� exercises
- Content built using Quarto / RMarkdown so one can generate HTML / PDF / other formats
- Up-to-date with latest R / tidyverse changes; community contributions and versioning
- Includes topics beyond basics: relational data (joins), date/time, strings, working with missing values, visualizing data etc.
Programming Language: R.
Categories:
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