Data visualization can be tricky to do right. There are a ton of key principles you need to be aware of. Today we bring you 5 best practices for visualizing data with examples in R programming language. Incorporate these key R data visualization principles into your toolset to improve your data ...

Real-world datasets are messy. Unless the dataset was created for teaching purposes, it’s likely you’ll have to spend hours or even tens of hours cleaning it before you can show it on a dashboard. That’s where two packages for data cleaning in R come into play – janitor ...

R and Excel go together like macaroni and cheese. There’s no need to choose one over the other, as there are numerous packages and extensions that allow them to work together. Just because you have an xlsx file doesn’t mean you can’t analyze it with R. Likewise, ...

R Shiny allows developers to write production-ready dashboards in no time, and for any use case. It’s not rare to find a vast number of dashboards in business-related domains, such as sales and marketing, but the possibilities don’t end there. Today we bring you seven curated examples of ...

Today we bring you 7 dashboard examples of R Shiny in life sciences. R Shiny is one of the easiest ways for developers to make production-ready dashboards when speed and functionality are crucial. Shiny is approachable with a lot of documentation available, and because of this, a lot of developers/researchers ...

Data science is vastly different than programming. We use only four languages – R, Python, Julia, and SQL. Now, SQL is non-negotiable, as every data scientist must be proficient in it. Julia is still the new kid on the block. Many argue which is better – Python or R? But today, we ...

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: ...