TL;DR Artificial Intelligence, Machine Learning, and Deep Learning models have demonstrated significant power to grow and improve businesses. We have found that the best approach to AI production is what...continue reading.
Together with Clara Bicalho (UC Berkeley) and Sisi Huang (WZB), I recently developed a web application that acts as a … Read More →continue reading.
Continuing our effort of applying the principles of reactivity to the UI part of a ShinyApp, this blog introduces two ways of conditionally rendering UI-elements in your app. Both presented...continue reading.
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...continue reading.
The RStudio Conference in San Francisco last month was an amazing experience, and I will definitely attend again next year in Orlando. In this post, Pedro Coutinho Silva and I...continue reading.
RStudio::conf 2020 is a wrap! What a tremendous experience. It was quite a production to send four Appsilon team members to San Francisco, California from Warsaw with nearly 100 kg...continue reading.
Two weeks ago I flew from New York to Warsaw, Poland to begin a new role at Appsilon Data Science. On Saturday, I’ll be flying right back in the other...continue reading.
I am a Project Leader working in a data science company. Many of our projects are written in R shiny. I have never used R before and I believe it...continue reading.
# Abstract As web dashboards have become the norm for interacting with data, looks and added functionality have taken a more prominent role. Dashboard users expect the typical look and...continue reading.
Intro + hackathon description Have you ever participated in a hackathon? A month ago my answer was still no (despite the fact that I’ve been working in the R Shiny/Data...continue reading.
TL;DR Describes the best practices for setting automated test architecture for Shiny apps. Automate and test early and often with unit tests, user interface tests, and performance tests. Best Practices...continue reading.
TL;DR Why use object-oriented programming in Shiny applications? It’ll help organizize organize the code in your application! Organize Your Shiny Code with Object-Oriented Programming Classes are used widely in all...continue reading.
TL;DR Two methods for keeping your Shiny app organized while avoiding hardcoding. Softcoding Constants in a Shiny App They can be found everywhere. Text on buttons, urls to be linked,...continue reading.
I’m after an exhausting yet exciting weekend with the WhyR? conference. That was the third edition, this year held in Warsaw, and it is nice to see how it grows...continue reading.
TL;DR Three methods for using javascript code in Shiny applications to build faster apps, avoid unnecessary re-rendering, and add components beyond Shiny’s limits. Part 2 of a five part series...continue reading.
I had an awesome time at the Enterprise Applications of the R Language (EARL) Conference held in London in September, 2019. EARL reminded me that it is good to keep...continue reading.
A little blog post about where to look if you want to get started with {golem}, and an invitation to code with us in October. go-what? If you’ve never heard...continue reading.
TL;DR Learn how to use the session argument as a global list for passing parameters between the modules in advanced Shiny apps to simplify the objects’ flow in code. Session...continue reading.
*beep boop* the intraclass correlation indicates STRONG interrater reliabilitycontinue reading.
Shiny enables its users to quickly create a fixed UI with code. Although simple, this can prove to be quite limiting. Applying the principles of reactivity to the UI part...continue reading.
Data Science / Machine learning / Python / R News / Spark
Data engineering functions on large datasets in Microsoft Fabric
September 25, 2024
GIS / R / R News / Shiny / Visualization
Interactive visualization of geospatial data with R Shiny
April 17, 2021
