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 ...

Deep Learning in R – MNIST Classifier with Keras In a day and age where everyone seems to know how to solve at least basic deep learning tasks with Python, one question arises: How does R fit into the whole deep learning picture? You don’t need deep learning algorithms to ...

Gradient Boosting with R Gradient boosting is one of the most effective techniques for building machine learning models. It is based on the idea of improving the weak learners (learners with insufficient predictive power). Do you want to learn more about machine learning with R? Check our complete guide to ...

Build an MNIST Classifier With Random Forests Simple image classification tasks don’t require deep learning models. Today you’ll learn how to build a handwritten digit classifier from scratch with R and Random Forests and what are the “gotchas” in the process. Are you completely new to machine learning? ...

Decision Trees with R Decision trees are among the most fundamental algorithms in supervised machine learning, used to handle both regression and classification tasks. In a nutshell, you can think of it as a glorified collection of if-else statements, but more on that later. Interested in more basic machine learning ...

Pandas vs. dplyr It’s difficult to find the ultimate go-to library for data analysis. Both R and Python provide excellent options, so the question quickly becomes “which data analysis library is the most convenient”. Today’s article aims to answer this question, assuming you’re equally skilled in both ...

Exploratory Data Analysis With dplyr When it comes to data analysis in R, you should look no further than the dplyr package. It’s an excellent all-rounder – providing you with extensive drill-down abilities while keeping the coding clean and minimal. Are you completely new to R? Check out what you ...

REST APIs with R and Plumber REST APIs are everywhere around us. Software engineers use them to develop backend logic, and data scientists use them to deploy machine learning models. Today you’ll learn how to make a basic REST API with R and the plumber package. Completely new to ...

Logistic Regression with R Logistic regression is one of the most fundamental algorithms from statistics, commonly used in machine learning. It’s not used to produce SOTA models but can serve as an excellent baseline for binary classification problems. Interested in machine learning for beginners? Check our detailed guide on ...

Datasets often require many work hours to understand fully. R makes this process as easy as possible through the dplyr package – the easiest solution for code-based data analysis. You’ll learn how to use it today. Are you completely new to R? Here’s our beginner R guide for programmers. ...