Blog Archives

Fast data loading from files to R

Recently we were building a Shiny App in which we had to load data from a very large dataframe. It was directly impacting the app initialization time, so we had to look into different ways of reading data from files to R (in our case customer provided ...

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Reproducible Research – when your results can’t be reproduced?

Reproducible Research – when your results can’t be reproduced?

Even most sophisticated machine learning methods, most beautiful visualisations and perfect datasets can be useless if you do your research carelessly and ignore the context of your code execution. In this article, you will read about a few situations ...

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Fast data lookups in R: dplyr vs data.table

R is a vector-oriented language and most of the things you do in R is optimised for that, but what if you need something less typical… What if you need to find a specific element in a dataset? There are a lot of options to do that in R, but when your dataset has a few million rows or...

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How to use viridis colors with plotly and leaflet?

“… avoiding catastrophe becomes the first principle in bringing color to information: Above all, do no harm.” - Envisioning Information, Edward Tufte, Graphics Press, 1990 Choosing colors for your plot is not so simple. Why is that so? First of all, it depends on numerous things… What plot are you creating? What is...

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How to create dynamic filtering in data science reports and dashboards?

R has long ago stopped to be a language only for statistical analysis. It’s also a great tool for communicating the results of data scientist’s work. With RMarkdown and Shiny it’s very easy to quickly design great reports and applications. We want to share few tricks to make your reports and apps more interactive and show you how components...

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Making Shiny apps awesome

Making Shiny apps awesome

A week before Christmas our CTO, Marek Rogala gave a speech about ways to make Shiny apps do much more than usual during R enthusiasts meeting in Warsaw. In case you have missed this event we have published his presentation online: NOTE! in this pr...

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Why have we created package to improve Shiny apps user interface?

Why have we created package to improve Shiny apps user interface?

Why? 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. Although Shiny is amazing framework it lacks a set of tools to improve both user experience and interface, like customized and modular components. Just imagine getting customized menu for your app or a really...

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shiny.router – a simple routing package for Shiny

The time has come to release the first of our internal tools, which we use on a regular basis when developing Shiny apps for our customers. In just a few lines of code added to your project you get a helpful routing mechanism that allows to recreate a particular state of your app. make_router( route(

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EARL Boston 2016

EARL Boston 2016

Last week our CEO, Filip Stachura, gave a speech at EARL conference in Boston titled “Rapid shiny development to blend experts knowledge into machine learning models”. EARL Boston Filip spoke to a huge number of R data scientists about how one ca...

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Using sparklines in R projects

Using sparklines in R projects

sticky noteFirst post on our blog! We welcome all data enthusiasts! Today we are going to show how to use tinny but useful library called sparkline. Sparkline itself is a small widget, using jQuery under the hood1. Both technologies - jQuery and the widget itselt are implemented in the JavaScript. When it...

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