At Jumping Rivers, we love data science! Surprised? Didn't think so ... But, did you know that as well as providing training and consultancy, we also like to get involved with the data science community!
Read more about Jumping Rivers and the Data Science Community
RStudio Connect supports a spectrum of data products, static or dynamic, developed in R and Python: Dashboards, applications, APIs, reports, and much more - we can also host ReactJS applications! This series will focus on recreating a Shiny App tutorial using ReactJS. In part 1, we introduce the required concepts and technologies.
Read more about Recreating the Shiny App tutorial: Part 1
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. As a Shiny developer, one popular front-end library you might already be familiar with is React.
Read more about Developing React Apps in RStudio Workbench
If you're based in the North East of England and you're looking for a place to discuss all things data science with like-minded people, then you might want to check out the North East Data Scientist (NEDS) Meetups!
Read more about NEDS Meetup
Choosing which colours to use in a plot is an important design decision. This blog post will show you how to make a custom colour palette that is compatible with {ggplot2}.
Read more about Custom colour palettes
The great strength of Shiny is that it simplifies the production of data-focused web applications, making it relatively easy to present data to users / clients in an interactive way. However, data can be big and data-processing can be complex, time-consuming and memory-hungry. In this post we demonstrate how we tackled this issue in a recent project.
Read more about WHO/Europe: Offload Shiny's Workload
Like data science? R? Python? Stan? Then you’d love the Jumping Rivers newsletter! The perks of being part of the Jumping Rivers family are:
