This is the first of a series of three blog posts about using the {shinytest2} package to develop automated tests for shiny applications. In the posts we will cover the purpose of browser-driven...

If you’re thinking of picking up a new skill in the new year, take a look at our upcoming public training courses! We have plenty of introductory courses coming up, both online and in-person...

This blog post aims to give a brief introduction to R7, a new R package for OOP in R. It’s not a tutorial on how to write code using R7 - the documentation provides great instructions for ge...

Earlier this year, Posit (formerly RStudio) released Quarto. Quarto is an open-source scientific and technical publishing system that allows you to weave together narrative text and code to produce high-quality outputs including reports, presentations, websites, and more. One of the main features of Quarto is that it isn’t just ...

This week, we’ve been reminding ourselves of some of the amazing talks from the Shiny in Production conference in October. The recordings are now up on our YouTube channel, for anyone to vie...

Data science and data engineering are incredibly cognitively demanding professions. As data professionals, we are required to leverage both our analytical/engineering skills and our interpersonal ...

Recently I came across a situation where I had to use Microsoft Excel for a project. As somebody who has always used R for any statistical analysis, I may not have been entirely enthusiastic about...

It has been 6 months since the launch of Diffify, our website for comparing package releases. We are delighted to announce that, in addition to CRAN’s 20,000 R packages, you can now track 16...

There are a growing number of Shiny users across the world, and with many users comes an increasing number of open-source “add-on” packages that extend the functionality of Shiny, both in terms of...

Introduction For creating a production deployment of a {shiny} application it is often useful to be able to provide a Docker image that contains all the dependencies for that application. Here we explore how one might go about automating the creation of a Dockerfile that will allow us to build ...

Here at Jumping Rivers we like to keep our courses up to date so we can bring you training on the latests tools and technologies. To this end, we have recently added two new courses to our listing...

Last week, we were very excited to host our first Shiny in Production conference! Attendees gathered in The Catalyst in Newcastle for two days of workshops and talks focusing on all things related...

Refactoring Russian Doll Code Recently, I’ve been working with an environmental scientist to refactor a large R package. Let’s call her Jane. Jane inherited a mess of code, and had to ...

Shiny in Production is just around the corner. We can’t wait to welcome you all to Newcastle on Thursday and Friday. Here’s a quick round up of what you can expect! Do you requi...

Introduction This is part the final part of our three part series Part 1: API as a package: Structure Part 2: API as a package: Logging Part 3: API as a package: Testing (this post) This blog post is a follow on to our API as a package series, which looks to expand ...

This is part two of our three part series Part 1: API as a package: Structure Part 2: API as a package: Logging (this post) Part 3: API as a package: Testing (to be released) Part 1 of this series laid out some ideas for how one might structure a {plumber} application as an ...

It will come as no great surprise that here at Jumping Rivers, we are huge advocates for learning data skills. There are many benefits to learning at least some basic data skills, even if you don&...

This is part one of our three part series Part 1: API as a package: Structure (this post) Part 2: API as a package: Logging (to be published) Part 3: API as a package: Testing (to be published) Introduction At Jumping Rivers we were recently tasked with taking a prototype application built in {...

This is the final part of our three part series Part 1: Python API deployment with RStudio Connect: Flask Part 2: Python API deployment with RStudio Connect: FastAPI Part 3: Python API deployment with RStudio Connect: Streamlit (this post) RStudio Connect is a platform which is well known for providing the ability to ...

The RSS International Conference 2022 is happening next week from 12-15 September 2022, hosted in Aberdeen for the first time! Jumping Rivers are exhibiting at the conference, as well as deliverin...