Knowledge of the way how R evaluates expressions is crucial to avoid hours of staring at the screen or hitting unexpected and difficult bugs.

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

This article presents our opinions and suggestions on how an Advanced Analytics department should operate.

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 at Appsilon are excited about RStudio introducing promises in R!

Earlier this week, I had the immense pleasure to attend EARL in London, we spoke about scaling Shiny app to 700 users.

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

We’ve build an internationalization package for shiny and have open sourced it for all to use.

Our CTO Marek Rogala gave an engaging talk about Google Docs-like live collaboration in Shiny at the User Conference in Brussels.

Four examples of how data science and machine learning can be used in online and offline retail.

Tutorial on how to build a Shiny chat in few lines of code.

Benchmark showing speed of data loading from files by using different methods.

Learn how to resolve reproducibility problems and avoid them in the future.

Our adventure has its beginnings at the World Port Hackathon 2016 in Rotterdam where our team won one of the main prizes.

What's the best way to achieve fast data lookups in R? In this post, we compare dplyr and data.table, and also explore what data.table indexes bring to the table.

R Viridis color palette with Plotly and Leaflet will make your data visualisations stand out - Here's how to use it.

Few tricks to make your reports and apps more interactive and show you how components can talk to each other.

Our CTO, Marek Rogala gave a speech about ways to make Shiny apps do much more than usual.

It’s always a challenge, when developing Shiny apps to create a user interface that is not only acceptable, but rather an exceptionally good looking one.

The time has come to release the first of our internal tools we use on a regular basis when developing Shiny apps for our customers.

Our CEO, Filip Stachura, gave a speech at the EARL conference in Boston - “Rapid shiny development to blend experts knowledge into machine learning models”.

How many of the attendees in this room actually work as data scientists and what are the backgrounds of everyone else?

Today we are going to show you how to use a tinny but useful library called sparkline. Sparkline itself is a small widget that uses jQuery under the hood.