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This guide provides a practical introduction to pipe operators in R, demonstrating how they enhance readability, streamline data transformation workflows, and support reproducible analysis. Using built-in datasets and real examples, the document explains the Base R pipe |> and the magrittr family of pipes—%>%, %<>%, %$%, and %T>%—highlighting their syntax, use cases, and advantages. By comparing functionalities, illustrating best practices, and addressing common pitfalls, this work offers an accessible yet comprehensive resource for students, researchers, and practitioners seeking to write cleaner, more expressive R code.

Demostración de obtención de datos de estaciones meteorológicas integradas en el Subistema CLIMA de la Red de Información Ambiental de Andalucía utilizando el usuario de libre acceso.

Description Here’s a simple, professional description you can paste: This report analyzes the Auto dataset from the ISLR2 package to predict car acceleration using cross-validated linear models. I compare single-predictor models, perform forward selection using 5-fold cross-validation, identify the most useful predictors, and evaluate the final model using RMSE and prediction plots.

Data analytics on Online Retail Data By Emma and Rhodha