Your Guide to Quality Data Science Products

Here are the winners of our shiny.semantic PoContest as chosen by the Shiny team at R Studio. There's still time to vote for the People's Choice Award.

Appsilon's list of tips for managing a successful kickoff meeting.

Vote for the People's Choice Award winner of the 2020 Appsilon shiny.semantic PoContest.

Learn about how shiny.i18n allows you to quickly implement multi-language functionality in Shiny apps and take the user experience to the next level.

In this video, Appsilon Co-Founder Damian Rodziewicz explains best practices for scaling Shiny applications in production to hundreds or even thousands of users.

How does R Shiny compare to drag and drop visualization tools like Tableau? Let's compare performance, aesthetics, and ease of use.

In this video, Appsilon Engineer Pedro Silva explains the basics of Shiny UI and provides multiple Shiny dashboard examples.

Switching from Excel to R Shiny? Learn how to migrate an analytics tool built with Excel and Google Sheets to an interactive Shiny dashboard.

Version 0.4.0 of shiny.semantic includes a CSS grid to a well-known R package. Learn how to make a Shiny App with CSS Grid.

In this video, Appsilon Senior Data Scientist Olga Mierzwa-Sulima explains best practices for data science teams – whether they are working in the office together or fully remote.

This article will show you how to speed up R Shiny by pushing actions to the browser. You will learn how to omit the server bottleneck with updateInput, leverage CSS classes, and take advantage of JavaScript actions for smoother Shiny performance.

Learn best practices for setting up a data science team and kicking off a data analytics project – remote or otherwise. I'll cover Scrum methodology, Asana, GitHub, Docker, renv, linter, and a variety of other tools and workflows.