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.
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.
Spatial data is always tougher to visualize than it seems at first. Well, not anymore. R ggmap is an amazing package you can start using almost instantly, after some light...continue reading.
R programming language can read all sorts of data, and XML is no exception. There are many ways to read, parse, and manipulate these markup language files in R, and...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.
Geospatial data is everywhere around us, and it’s essential for data professionals to know how to work with it. One common way to store this type of data is in...continue reading.
Shiny application layouts are changing. If you’ve been around web development since the 90s, you might remember how different building web page layouts used to look. As the web evolved,...continue reading.
The R community had a recent scare with the isoband package risking archival on CRAN. The reason why this incident made waves is that isoband is a ggplot2 dependency and...continue reading.
At Appsilon we strive to be the global leaders in R Shiny. We develop some of the world’s most advanced Shiny dashboards and have a team of talented individuals. We...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.
In this post, you’ll learn how to scrape dynamic websites in R using {RSelenium} and {rvest}. Although some basic knowledge of rvest, HTML, and CSS is required, I will explain...continue reading.
SAS is losing its footing across industries due to the rise of Shiny, an R package giving users bespoke interactivity on top of their R routines. In this article, we’ll...continue reading.
Whether you heard it in person at rstudio::conf(2022) or caught the news through the internet grapevine, RStudio PBC is rebranding itself to – Posit PBC. As with most changes, this...continue reading.
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