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Putting those bike pedals to work with a comprehensive exploratory data analysis, navigating through a near-inferno of namespace and dependency issues in package development, and how you can ensure bragging rights during your next play of Guess My Name using decision trees.
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A few great tips for ensuring your R package doesn't "talk too much" (within reason), shrinking down the size of your images with a new API directly available in a new package, and the first opportunity in 2024 for submitting your proposals for R Consortium projects is on the horizon.
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Key learnings from learners in recent R workshops, advice on navigating thorny package installation issues within renv, and a showdown of how the parquet and RDS formats perform with large data sets.
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The R-Weekly Highlights podcast has crossed another milestone with episode 150! In this episode we cover a terrific collection of development nuggets of wisdom revealed in a recent package review livestream, and how a feature flying under the radar from Git can facilitate investigations of multiple package versions.
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How the babeldown package enables low-friction updates to living documents, uncovering innovative functions all within the base R installation, and supercharging a static Quarto dashboard with interactive tables and visualizations.
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A tour of how the httr2 package streamlines API processing in R, five must-have ggplot2 extension packages for your next visualization, and the Appsilon Shiny Conf 2024 is shaping up to be the biggest yet for all things Shiny.
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We kick off 2024 with a jam-packed episode! Learn four ways to streamline your R workflows, a proposal for a new pipe assignment operator in base R, and our raw responses to a surprising turn of events affecting one of the most influential members of the R community.
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A data-driven investigation to the association of early birthdays and hockey players, one of the most-requested feature requests is coming to the next version of Quarto, and just why in the world does the View() function start with V?
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A timely collection of tips and tricks in adopting the cli package for your R package interfaces, how the deposits package addresses an all-to-familiar problem of sharing research data, and an encore of creating your own RStats-wrapped of your most used R functions.
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A glimpse of refactoring functional R code to object-oriented programming with R6, using benchmarking as another input to adopting package dependencies, and building a high-performance CSV reader by combining R and Rust.
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