How many times has your code unexpectedly stopped working? Even better, how many times did the code work on your machine, but your coworkers couldn’t run it? Both questions share...continue reading.
Every data science project needs a data validation step. It’s a crucial part, especially when feeding data into machine learning models. You don’t want errors or unexpected behaviors in a...continue reading.
ShinyConf 2023 begins this week! With a great lineup of speakers and showcases this year, we thought we’d recap a small handful of last year’s recorded talks. 2022 was a...continue reading.
Quarto is exciting! It is simple, seamless, and easy to use! Do you know what makes it even better? Interaction. Quarto integrates with R/Shiny instances and provides you with a...continue reading.
When a person opens their medicine cabinet, they open the door to ingenuity: a confluence of nature and human discovery that has found cures for diseases and helps manage the...continue reading.
Data visualization is important for communicating results. Selecting the right graphical representation of your data can enhance your data storytelling. In this article, I’ll show you how to implement drill-down...continue reading.
The standard procedure to create a Shiny app is straightforward. It involves a single app.R with a ui.R and server.R. But this simplicity also makes it difficult to build production-grade...continue reading.
R Shiny is a go-to technology when making apps and dashboards for companies using the R programming language. Shiny helps solve problems in complex business areas with large datasets, such...continue reading.
{reactable} is pretty powerful in itself given just how many features are available in it. But its real power is in how we can tinker with it. In one of...continue reading.
As part of our Data for Good (D4G) initiative, we collaborated with the Institute of Dendrology of the Polish Academy of Sciences to build a Shiny application with an enhanced...continue reading.
Real-world data is often messy and full of missing values. As a result, data scientists spend the majority of their time cleaning and preparing the data, and have less time...continue reading.
The shiny.benchmark package by Appsilon allows you to compare the performance of different versions of R Shiny applications. You can write instructions that will be executed and evaluated on different...continue reading.
The end of the year is approaching and it’s been a big one for R programming and the Shiny development community. As Shiny adoption continues to grow and R programming...continue reading.
Are you a life sciences educator looking to engage students with interactivity or a student needing to draw and label cells? Are you a researcher looking to offload the tedium...continue reading.
R/Shiny is quite versatile from a developer’s perspective, and at Appsilon, we try our best to stretch those limits even further. That is what we did for the Future Forests...continue reading.
Visualizing genomics data is not as straightforward as you would think. The whole industry is extremely complex and suffers from a major problem – specialization creep. There are so many...continue reading.
Art provides insight into the experiences and values of a culture. We see parallels between Shiny and art. Both are canvases for sharing insight. They are used to transform information...continue reading.
The modern revolution of big data has led to a boom in business intelligence. But data is only as valuable as the insights it provides. That means the true value...continue reading.
Dashboards created in R Shiny generate insights that empower businesses to improve processes, initiatives, and innovations. But Shiny is not only a business intelligence tool. It can serve many goals...continue reading.
As a software engineer whenever I see something interesting in a web application I try to think about the way it was implemented. One of the things that caught my...continue reading.
Streamlit Tutorial: How to Deploy Streamlit Apps on RStudio Connect
February 25, 2022
