Geo maps with R and Leaflet Data visualization can be tough to get right, and geospatial data is not an exception. Today you’ll learn how to build aesthetically pleasing interactive maps with R and leaflet.  Having problems with basic R visualizations? Here’s our guide for building stunning scatter ...

Linear Regression with R Chances are you had some prior exposure to machine learning and statistics. Basically, that’s all linear regression is – a simple statistics problem.  Need help with Machine Learning solutions? Reach out to Appsilon. Today you’ll learn the different types of linear regression and how to ...

Scatter Plots with R Do you want to make stunning visualizations, but they always end up looking like a potato? It’s a tough place to be. Luckily, R makes it easy to produce great-looking visuals. Today you’ll learn how to create impressive scatter plots with R and the ...

Accuracy can be misleading. These 3 alternatives can't. The post Top 3 Classification Machine Learning Metrics – Ditch Accuracy Once and For All appeared first on Better Data Science.

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 ...