Your Guide to Quality Data Science Products

Shiny is a powerful tool, but with CSS you can make it a beautiful one as well. I will show you how to add CSS style to your R Shiny project. The tl;dr version is that you should add style sheets to your www directory to leverage CSS capabilities.

In this article we explore if machines can replace us (R programmers) in writing Shiny code. I'll show you some easy applications of a simple model of a recurrent neural network implemented in an R version of Keras

How to use R in AWS Lambda With AWS Lambda, small and frequent jobs can be done without setting up an instance and keeping it “alive” waiting for requests

Appsilon Data Science offers R Shiny open source packages that you can use for UI improvements, UI themes, translation, URL routing, and diagnostic display

Data scientists must check if the story behind the data makes sense. This requires business knowledge about the data. It's our responsibility to be curious, to explore and challenge to avoid logical problems in the data to save clients money.

shiny.info is an open-source package that allows developers to display R Shiny diagnostic information - Here's how to use it!

We find having a Shiny App that allows for Excel export to be a good compromise between R/Shiny and Excel.

The price you paid for your plane ticket is not the same as the person sitting next to you. Learn more about Dynamic Pricing.

Learn all about the upcoming R promises package: how to use it and how it is different from the already existing future package.

Olga Mierzwa-Sulima went over the main challenges of scaling a Shiny application and the methods we used to resolve them.

We will show how to perform multivariate random sampling using one of the Markov Chain Monte Carlo (MCMC) algorithms, called the Gibbs sampler.

We will try to build a strong classifier using H2O and R on Zalando MNIST dataset.