Fast reading of delimited files. Contribute to r-lib/vroom development by creating an account on GitHub.

Advice on workflows for developing R scripts. How to think about whether an action belongs in the script or elsewhere.

The tidyverse is an integrated collection of R packages designed to make data science fast, fluid, and fun.

Structuring R projects is not fun. However, especially in a collaborative data science setting, it is indispensable, and the mark of a true team player.

RStudio's webinars offer helpful perspective and advice to data scientists, data science leaders, DevOps engineers and IT Admins. Presenters come from companies around the globe, as well as the RStudio staff.

Discover and install useful RStudio addins . Contribute to daattali/addinslist development by creating an account on GitHub.

Showcase of Shiny App for client database and after-sales calls exploration - ThinkR-open/clientapp

Better Specs is a collection of best practices developers learned while testing apps that you can use to improve your coding skills, or simply for inspiration.

Better Specs is a collection of best practices developers learned while testing apps that you can use to improve your coding skills, or simply for inspiration.

A curated list of awesome R packages, frameworks and software. - qinwf/awesome-R

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Always wanted to write an R package for your team? This article gives tips for what to include in your team's R package. Get started today!

Milestones mark the specific points in project success. Learn what is project management milestone and how to use it for project scheduling.

🐝 Awesome R packages that offer extended UI or server components for the R web framework Shiny - nanxstats/awesome-shiny-extensions

Recording of RStudio webinar with Winston Chang & Curtis Kephart

Well organized and easy to understand Web building tutorials with lots of examples of how to use HTML, CSS, JavaScript, SQL, PHP, Python, Bootstrap, Java and XML.

A workflow for refactoring one-time analyses to sustainable data products

Links to resources on reproducible research and related tools.

A project template and directory structure for Python data science projects.

Data Carpentry is a lesson program of The Carpentries that develops and provides data skills training to researchers.

Generation of diagram and flowchart from text in a similar manner as markdown - mermaid-js/mermaid