Welcome to the final part of our “Unlocking the Power of Functional Programming in R” series. In this article, we’ll explore how functional programming enhances reproducibility and testing in data...continue reading.
The introduction of innovative tools like Shiny and Quarto has empowered researchers and data scientists to transform complex data into interactive and insightful reports. This progress is not just an...continue reading.
As the reliance on data intensifies, the need for efficient and effective data analysis methods has never been greater. This article delves into the world of functional programming in R,...continue reading.
Functional Programming‘s relevance in the R programming language, a language primarily known for its prowess in data analysis and statistical computing, is particularly noteworthy. By leveraging functional programming, organizations can...continue reading.
In the ever-evolving landscape of software development, there exists a paradigm that has been gaining momentum and reshaping the way we approach coding challenges: functional programming. In this article, we...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.
RStudio recently announced the renaming of RStudio Server Pro to RStudio Workbench. Along with the relabel, some updates and new features were added. In this blog, we will discuss our...continue reading.
Why Data Validation Data validation is a crucial step in any data science project. It ensures clean and well-formatted data that is ready for input pipelines to ML models and...continue reading.
5 Great Shiny Dashboards – Appsilon’s Top Picks This article will cover a few of the best Shiny Dashboards created by the Appsilon team. R/Shiny is an R package that...continue reading.
GIS / R / R News / Shiny / Visualization
Interactive visualization of geospatial data with R Shiny
April 17, 2021
