Line Charts with R Are your visualizations an eyesore? The 1990s are over, pal. Terrible-looking visualizations are no longer acceptable, no matter how useful they might otherwise be. Luckily, there’s a lot you can do to quickly and easily enhance the aesthetics of your visualizations. Today you’ll learn ...

Python and Dash vs. R and Shiny Developing dashboards is no small task. You have to think about a vast amount of technical details and at the same time build something easy and enjoyable to use. Let’s say you have those areas covered. The question remains – which technology should ...

Bar Charts with R  The language of data visualization is universal. Not everyone will recognize a great visualization, but everyone will remember a terrible one. If you use tools and techniques discussed in this article, the chances for your visualization to be classified as “terrible” will be close to zero. ...

Introducing semantic.dashboard Dashboards allow you to structure reports intuitively and break them down into easy-to-read chunks. As a result, end-users can navigate and explore data much easier than with traditional reports. The shinydashboard R package has been out for ages, and it is a good option with a decent ...

R is a programming language created by Ross Ihaka and Robert Gentleman in 1993. It was designed for analytics, statistics, and data visualizations. Nowadays, R can handle anything from basic programming to machine learning and deep learning. Today we will explore how to approach learning and practicing R for programmers. As ...

Business Intelligence (BI) is used to transform data into actionable insights that provide value to an organization and help achieve its business goals. Reports and dashboards are go-to approaches for modern-day business intelligence tools. At Appsilon, we are big advocates of R and R Shiny, but we also have significant ...

Basic Routing for Shiny Web Applications Web applications couldn’t exist without routing. Think about it in terms of the Appsilon website – you’ve visited our home page, navigated to the blog, and opened this particular article. That’s routing in a nutshell – matching UI components to a URL. Appsilon ...

tl;dr Choosing the appropriate dashboarding/reporting/BI tool has never harder than it is now, as there are plenty of genuinely great options such as R Shiny, PowerBI, and Tableau. Today we’ll compare two widely used tools at Fortune 500 companies: PowerBI – a collection of software services, apps, and ...

Dplyr is easier and cleaner than Pandas. Do you dare to make a switch? The post Top 10 dplyr Functions – Data Analysis Made Easy appeared first on Better Data Science.

Rapid Multi-Language Support for Shiny Apps Have you ever created a multilingual Shiny application? Chances are the answer is yes, if you are a big fan of Appsilon‘s blog and have read our first article on the topic. If that’s not the case – fear not – we’ll cover ...

A good dataset is difficult to find. That’s expected, but nothing to fear about. Techniques like web scraping enable us to fetch data from anywhere at any time – if you know how. Today we’ll explore just how easy it is to scrape web data with R and do ...