By far the easiest way to detect and interpret the interaction between two-factor variables is by drawing an interaction plot in R. It displays the fitted values of the response variable on the Y-axis and the values of the first factor on the X-axis. The second factor is represented through ...

PowerPoint is the most recognized presentation-making software, but it isn’t for everyone. Some may find it packed with unnecessary features, and to some extent that’s true. Microsoft updates it regularly and invents things you never even knew you needed. If you’re a programmer at heart, you likely ...

RStudio Cloud is a hosted version of the well-known R IDE – RStudio. It was created to simplify teaching and learning R programming languages for organizations, professionals, teachers, trainers, students, and hobbyists. But how can you get started, and why should you? That’s what we’ll answer today. After reading, ...

Developing an R Shiny dashboard from scratch can be a time-consuming process. Luckily for you, you don’t need to start from scratch. In 2021 we released four R Shiny dashboard templates that are open to the public. The best part is – you can use and modify them free of charge! ...

Managing database connections can be messy at times. It’s always easier to read and write to local CSV files. That doesn’t mean it’s the right thing to do, as most production environments have data stored in one or multiple databases. As a data professional, you must know ...

So, you want to become an R Shiny Developer? 2022 is the year to do it. Learning a new language, library, or framework can be stressful – even expensive at times! That’s why we decided to share the 7 best R Shiny books and courses you can follow from the comfort of ...

The R programming language packs a rich set of statistical functions. It makes it easy to do any kind of statistical test, including the analysis of variance. Today you’ll learn all about MANOVA in R, and apply it to a real dataset. We’ll start with the theory and ...

If you dive deep into inferential statistics, you’re likely to see an acronym ANOVA. It comes in many different flavors, such as one-way, two-way, multivariate, factorial, and so on. We’ll cover the simplest, one-way ANOVA today. We’ll do so from scratch, and then you’ll see how ...

If you want to know how to get hired in data science, you’re in luck. We’ve prepared a complete guide on the 7 skills you need to land your first job or internship. These also apply if you’re looking to make a career switch or to improve your ...

If you’re in the business of business analytics, you know what Tableau is. It’s one of the top drag-and-drop BI tools for analyzing and visualizing data. Pretty much anyone can use it to make decent dashboards. But here’s the problem – it’s quite limiting for developers with ...

So, you want to build interactive maps with R? It’s harder than it seems, we know. First, you need to choose a library from an extremely competitive open-source market. Welcome to the paradox of choice. Then the real problems begin. Where do you position your map? How much zoom ...

Visualizing spatial data in R is oftentimes more challenging than it initially seems. There’s a ton of moving parts, like map center point, zoom, map type, marker size, and so on. And then there’s cartographic design and managing aesthetic appeal along with the functional elements. It goes without ...

Histograms with R and ggplot2 Be honest. How uninspiring are your data visualizations? Expert designers make graph design look effortless, but in reality, it can’t be further from the truth. Luckily, the R programming language provides countless ways to make your visualizations eye-catching. Read more on our ggplot series: ...

Boxplots with R and ggplot2 Are your data visualizations an eyesore? It’s a common problem, so don’t worry too much about it. The solution is easier than you think, as R provides countless ways to make stunning visuals. Today you’ll learn how to create impressive boxplots with ...

Visualizing table data is no small task. It requires both data manipulation and data visualization skills from the technical end. It also requires knowledge about your audience. Ask yourself — For whom are you visualizing the data? Do you need interactivity? Will you include the table in a web application? The ...

So, you want to become an R Shiny Developer? You’re at the right place. We’re Appsilon — An industry leader building the world’s most advanced R Shiny applications for Fortune 500 companies — and this article will summarize everything you need to start a career in R and Shiny. Make ...

Data science is advancing into nearly every industry from pharma and banking to sales and logistics. And why not — when data science is properly integrated it results in a performance boost, faster implementation, or process automation (read: money, money, money). The pharmaceutical and medical industries are no exception. Every top ...

Nobody likes a slow dashboard. Heck, I’m closing it and never coming back if it takes more than a couple of seconds to load. It’s a common problem — the datasets are getting bigger and our attention span is getting shorter. Balancing both as a developer, well, sucks. But ...

Must-Have Skills for Data Science Everybody and their mother wants to learn data science. And there’s no reason not to – the job you do is interesting 95% of the time, the salaries are excellent, and most likely you can get the job done from the comfort of your bed.  You ...