Ever wondered what it takes to develop a product? Imagine you’re choosing a company to make your product a reality. What makes you choose one over another? Is it their cool website or their experience with enterprises from Fortune500? When it comes to building quality software solutions, there really ...

With the new {rhino} 1.8.0, we’re happy to introduce {box.linters}. This new package helps check code for projects using {box}. Looking to upgrade your enterprise dashboard to Rhino? Check out how it’s done with the World Bank’s Carbon Pricing dashboard.  In this article, we’ll show you ...

At Appsilon, we are committed to supporting the R community and empowering developers. We are thrilled to introduce our Hex Logo Design Contest—a great opportunity to enhance your R package with a unique, custom-designed hex logo! ‍ If you’re the creator of an R package that needs a visually ...

Appsilon’s core purpose is to advance technology to preserve and improve human life, and it translates into a unified set of values shared by the whole organization. We realize this by creating and enhancing tools to solve the problems our clients are faced with, focusing on impact. We work ...

ShinyConf 2024 was a resounding success! We brought together the vibrant R/Shiny community for three days of insightful sessions, engaging workshops, and valuable networking opportunities. From seasoned developers to newcomers, the conference had something for everyone. Insightful Sessions and Memorable Speakers The sessions covered a wide range of topics, from ...

We are proud to announce that Appsilon has been named one of Europe’s fastest-growing companies in The Financial Times 1000 for the second year in a row. This prestigious ranking highlights our remarkable revenue growth between 2020 and 2023, reflecting our team’s hard work, innovation, and commitment to excellence. Since last ...

The adoption of Shiny, the R package for building interactive web applications, is growing. As a leader in R Shiny development for enterprises, we’re asking you, fellow users of R and Shiny, to discuss the current state of Shiny in 2023 and its outlook for the future. We would like ...

Intermediate SQL for Data Science Running data queries in the database can offer significant speed improvements over doing so in R or Python. There’s no need to drag the entire dataset to memory and run the calculations once the loading completes. The runtime differences can be drastic, depending on ...

Intermediate SQL for Data Science Running data queries in the database can offer significant speed improvements over doing so in R or Python. There’s no need to drag the entire dataset to memory and run the calculations once the loading completes. The runtime differences can be drastic, depending on ...

Pandas vs. dplyr Updated: March 9, 2022. Python vs. R? Pandas vs. dplyr? It’s difficult to find the ultimate go-to library for data analysis. Both R and Python provide excellent options, so the question quickly becomes “which data analysis library is the most convenient”. Today’s article aims to answer this ...