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 with many leaders in the pharmaceutical and biotechnology sectors and take pride in helping them accelerate the discovery and provision of medicines. With this in mind, we are all proud to announce that we are joining forces with the Pharmaverse Council, an influential organization dedicated to fostering c ..read more

R Shiny needs no introduction, as it’s one of the go-to frameworks for building amazing applications and dashboards. But most of them lack one thing – interactivity and motion. Truth be told, R’s standard visualization packages such as ggplot2 aren’t interactive, so that’s the main reason why. Enter R Highcharts – a free package for making interactive and animated visualizations, straight from R! We’ve already discussed in our introduction article, drilldown article , and a dedicated Shiny article, so this one will serve as icing on the cake, as you’ll learn how to add interactive maps to you ..read more

Welcome to the third (and final) part of our R Highcharts article series. So far, you’ve learned how to make basic interactive charts, and how to make drilldown charts. These two articles are a must-read before going over this one, since today the focus will be on code rather than explanations. After reading today’s piece, you’ll know how to create interactive and animated dashboards with the R Shiny Highcharts module – both through basic charts and drill-downs. We’ll also go over some basics of R Shiny, such as filtering and styling. Let’s dig in! Are your R/Shiny team skills up to date? Ta ..read more

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 best practices in Shiny development to innovative use cases across various industries, spanning four tracks: Innovation, Enterprise, Data 4 Good, and Life Sciences. ShinyConf attendees gained valuable insights from industry experts. W ..read more

Are you an R/Shiny user looking to leverage the incredible capabilities of Shiny for Python without sacrificing the familiarity and comfort of your existing tools? Introducing Tapyr—our Shiny for Python framework. It brings Rhino-like capabilities from the R world and more to the Shiny for Python ecosystem, helping you build enterprise-ready applications with ease.‍ Curious about Shiny for Python from an R Shiny dev’s perspective? Check out this blog post to learn more. Tapyr is designed as a lightweight template repository for PyShiny projects that offers tools similar to Rhino for R/Shiny ..read more

You have the fundamentals of R Highcharts under your belt by now. The next logical step is to introduce a bit more complexity in the code, but for the greater good. And that good is implementing drilldown charts straight in R! This will allow you to click on individual chart elements to open up yet another visualization that displays the data for a selected segment. Think sales for a country (overall) vs sales for a city (drilled down). And sure, working with R Highcharts drilldown involves more code, as you have to prepare two datasets and link them, but the overall benefits outweigh the cos ..read more

Business needs to have dashboards validated. Many companies have dedicated Quality Assurance teams. As software engineers, we call the validation process testing. The process of validating an app by mimicking real users behavior is called end-to-end testing. It’s not some function, runs with some parameters, and we’re happy. It’s simulating real interactions with clicks and typing inputs in a programmatic way. Such testing ensures that your applications (be it R/Shiny or Python or any language for that matter) work as they should, from the user interface down to the backend processes. Overall ..read more

Ignite your passion and propel your career at ShinyConf 2024, online from the 17th to the 19th of April! This isn’t just another conference; it’s an opportunity to stay ahead of the curve. Dive into workshops, seminars, and sessions that push your abilities. Master foundational concepts or explore advanced topics. Continuous learning and networking are essential for professional growth, and ShinyConf will feature introductions and deep dives into the latest R/Shiny trends in industry, research, and community. ‍ Curious about the ShinyConf 2024 keynotes? Learn more and discover what’s in stor ..read more

Git best practices are essential for developers looking to manage their projects efficiently. In this article, we’ll dive into the key techniques that can transform your version control workflow, ensuring you leverage Git to its full potential for improved productivity and collaboration.‍ We already introduced you to Git and stated why version control is so important in our blog post, Version Control for Pharma: A Comparison of Gitflow and Trunk-based Development, but how do we get the best out of it? Use Case Scenario Depending on the project you are working on, there will be different appro ..read more

If you’re looking to take your R data visualization skills to the next level, interactivity is the name of the game. There aren’t too many packages that offer it out of the box, but you don’t need quantity if you have quality. Highcharts is among the most popular JavaScript packages for interactive data visualization, and it has a superb R port – Highcharter. It’s the package you’ll want to use to explore R Highcharts capabilities for basic data visualizations, maps, drill-down charts, and even R Shiny. We’ll focus on the first one today, but stay tuned to the Appsilon blog to learn more adva ..read more