Custom colour palettes
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}.
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JUMPING RIVERS BLOG
WHO/Europe: Offload Shiny's Workload
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.
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Displaying data in H2O Wave
In this post we will go through an example of how to build a simple web application to display data in various forms including plots, tables and graphics using H2O Wave, an easy web application development tool in Python.
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Shiny in Production Update
The organisation for Shiny in Production is well under way - our list of speakers is now up on the conference website, and registration is open, with Early Bird tickets available until July 31st! Read on for more details.
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An introduction to H2O
H2O.ai is a company which develops products for easy, scalable, machine learning and artificial intelligence. This post will talk through who H2O.ai are and what software they provide for your machine learning needs.
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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.
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