Publications by The Jumping Rivers Blog
Accessibility in R applications: {shiny}
Web applications that are Web Content Accessibility Guidelines (WCAG) compliant are becoming an increasingly prominent part of my role as a data scientist as the importance of ensuring that data products are available to all takes a more central focus. This is particularly true in the case of building solutions for public sector organisations in ...
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Creating a Reproducible Example
Maintaining training materials Over the last few years, we increased both the number and types of training courses we offer. In addition to our usual R courses in {dplyr} and {shiny}, we also offer training on Docker, Python, Stan, TensorFlow, and others. As the number of courses we offer increased, so did the maintenance burden of our associated...
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New training courses
The trainers here at Jumping Rivers have been busy developing a host of new courses for your programming pleasure! We have recently developed several new courses, which are now available to view on our course list. As well as R and Python, our new courses focus on two new tools: H2O.ai and Tableau. Whether you want to start from scratch, or imp...
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An introduction to H2O.ai
If you came here looking for an introduction to water, or a synopsis of the 2003 TV series about teenage mermaids you have sadly come to the wrong place. The H2O that we will talk about is H2O.ai, a company which develops products for easy, scalable, machine learning and artificial intelligence. Introduction Machine learning and artificial intell...
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Shiny in Production Update
Registration is now open! Organisation is now well under way for Shiny in Production on 6th-7th October! Our events team here at Jumping Rivers have been hard at work to make sure the conference is everything it promises to be. There have been a few updates over the last month or so, so we thought it was about time for another blog post to keep y...
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Offload Shiny’s Workload: COVID-19 processing for the WHO/Europe
At Jumping Rivers, we have a wealth of experience developing and maintaining Shiny applications. Over the past year, we have been maintaining a Shiny application for the World Health Organization Europe (WHO/Europe) that presents data about COVID-19 vaccination uptake across Europe. The great strength of Shiny is that it simplifies the production...
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Custom colour palettes for {ggplot2}
Choosing which colours to use in a plot is an important design decision. A good choice of colour palette can highlight important aspects of your data, but a poor choice can make it impossible to interpret correctly. There are numerous colour palette R packages out there that are already compatible with {ggplot2}. For example, the {RColorBrewer} o...
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North East Data Scientists Meetup
If you’re based in the North East of England and you’re looking for a place to discuss all things R with like-minded people, then you might want to check out the North East Data Scientist (NEDS) Meetups! Hosted every two months in the amazing Catalyst building in the centre of Newcastle upon Tyne, the NEDS meetups are an excellent opportunity...
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Developing React Applications in RStudio Workbench
Introduction RStudio Workbench provides a development environment for R, Python, and many other languages. When developing a performant web application you may progress from Shiny towards tools like Plumber. This allows you to continue development of the true application code, modelling, data processing in the language you already know, R, while ...
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Recreating the Shiny App tutorial with a Plumber API + React: Part 1
This is part one of our three part series Part 1: Recreating the Shiny App tutorial with a Plumber API + React: Part 1 (this post) Part 2: Recreating the Shiny App tutorial with a Plumber API + React: Part 2 (to be published) Part 3: Recreating the Shiny App tutorial with a Plumber API + React: Part 3 (to be published) RStudio Connect supports ...
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