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From the "is there anything R cannot do" department comes QR code scanning, a tidy time series analysis on a major problem in the roads of Pittsburgh, and rolling up your sleeves with custom ggplot2 tricks to enhance a spatial visualization.
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A collection of post-workshop answers for the R/Pharma introduction to tidymodels workshop, the Shiny UI Editor takes a huge step out of the alpha stage, and a unique approach to Shiny modules with the new component package.
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Another collection of package testing workflow nuggets you can make great use of today, the definitive guide to effective use of logging in Shiny applications from the recent Shiny in Production conference, and a cautionary tale of the potential impact of default function arguments in your downstream analytical pipelines.
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How the {potools} package jump-starts your R package translations, the most-upvoted feature request lands in the RStudio IDE with GitHub Copilot integration, and a reflective post on the multiple paths to reproducible data science workflows in R.
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A new contender for speedy fuzzy joins of data frames enough to make Sonic jealous, a novel use of ggplot2 for creating a map that could have come from a vintage typewriter, and the immense progress of detecting R package system dependencies.
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Reflections on the amazing posit::conf(2023), a new framework that'll have you snap into HTML slides, the Nix reproducible data science train powers forward into CI/CD territory, and leveraging parallel processing in spatial data prediction.
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Another adventure with incorporating R packages into a WebR application, annotating your fancy equations in a Quarto PDF document, and unleasing a Bayesian model on UFO sightings data.
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A batch of R functions to level-up your development tasks, revisting a classic R inferno on object allocation, and a call for proposals to take R's infrastructure to new heights.
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The next generation of object-oriented programming in R arrives on CRAN, a novel use of R to automate R scripts and documents for Tidy Tuesday analyses, and a terrific presentation de-mystifying the world of web APIs in R.
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A few key practices for data preprocessing leveraging the tidyverse, more amazing wins with open source to process high-dimensional USDA geospatial data sets, and an infinitely fascinating look at how recursion and infinite data structures can be used in your R adventures.
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