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.
Climate Change presents us with one of the most prevalent and dangerous challenges of our time. Its consequences will have a transforming impact on society in the twenty-first century. Today...continue reading.
Sometimes, when you develop a Shiny application you want to download the results of their analysis as a report. Generating reports from Shiny applications is a very broad topic. So...continue reading.
There’s an optimal way to make R Shiny apps, and the Rhino package is a top choice for software engineers. In short, Rhino allows you to create Shiny apps like...continue reading.
During the pandemic, the supply chain and its management strategy burst into the spotlight. Supply chain management (SCM) became a household topic as its disruptions began to directly impact people’s...continue reading.
If you haven’t been living under a rock for the past couple of weeks, you’ve likely noticed some groundbreaking news in the Shiny department. Yes, it’s finally available for Python!...continue reading.
Data Science has (unnecessarily) divided the world into two halves – R users and Python users. Irrelevant of the group you belong to, there’s one thing you have to admit...continue reading.
R Shiny bslib is a package that makes working with Bootstrap themes a breeze. Let’s face it – Shiny apps look dull and mainstream by default. Not everyone has a...continue reading.
If there’s one thing that can make your dashboards more intuitive to use, it’s icons. High-quality SVG icons can further explain, or sometimes replace long sections of text, and give...continue reading.
Shiny as a web framework is known for its combination of power, simplicity, and flexibility. It’s a convenient tool for app development at all levels, from proof of concept to...continue reading.
It’s easy to get down the basics of R and Shiny, but the learning curve becomes significantly steeper after a point. Reactive values? Reactive events? Reactive observers? Let’s face it...continue reading.
It’s crucial you address R Shiny accessibility early on. Why? Because you want to make sure your data products can be used by all users – inclusivity matters. In a...continue reading.
Are your Shiny dashboards getting slow? Maybe it’s time to explore some R Shiny caching options. We’ve been there – a client wants dozens of charts on a single dashboard...continue reading.