tl;dr shiny.semantic is an R package created by Appsilon that brings the Fomantic UI library to Shiny apps. With shiny.semantic, you can rapidly create great looking Shiny apps with non-standard UI components. We have just released version 0.4.0, which includes standardized syntax, a useful grid functionality for easily ...

By Dominik Krzemiński and Krzysztof Sprycha   Data can be very powerful, but it’s useless if you can’t interpret it or navigate through it. For this reason, it’s crucial to have an interactive and understandable visual representation of your data. To achieve this, we frequently use dashboards. ...

SatRday events have become a more and more popular format of R conference series. They are based on such values as inclusivity, affordability and are made for and by real R enthusiasts, so all values important to Appsilon. With great pleasure we decided to support a recent edition of SatRday ...

Many news reports scare us with machines taking over our jobs in the not too distant future. Common examples of take-over targets include professions like truck drivers, lawyers and accountants. In this article we will explore how far machines are from replacing us (R programmers) in writing Shiny code. Spoiler ...

At Appsilon we thrive on supporting the open source community with open source packages. As we have already mentioned at various R conferences, the typical cycle of our work is: identification of a repeating programming problem, solving it, wrapping it into a package, testing internally and once we decide it’...

There are probably thousands of things to do in the middle of May at the Baltic seaside, but in 2019 the place to be was Gdansk. Despite the dreadful weather, Gdańsk offered the hottest R event in Europe at the time: the very first edition of the SatRday Gdańsk. ...

We all know that Shiny is great for interactive data visualisations. But, sometimes even the best attempts to fit all your graphs just in one Shiny page are not enough. From our experience, almost every project with growing amount of KPIs struggles with a problem of messy and not readable ...

We all know that Shiny is great for interactive data visualisations. But, sometimes even the best attempts to fit all your graphs just in one Shiny page are not enough. From our experience, almost every project with growing amount of KPIs struggles with a problem of messy and not readable ...

Sometimes we don’t even realize how common machine learning (ML) is in our daily lives. Various “intelligent” algorithms help us for instance with finding the most important facts (Google), they suggest what movie to watch (Netflix), or influence our shopping decisions (Amazon). The biggest international companies quickly recognized the ...