Author: Dario Radečić
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...continue reading.
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...continue reading.
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...continue reading.
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...continue reading.
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...continue reading.
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...continue reading.
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...continue reading.
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...continue reading.
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....continue reading.
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...continue reading.
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 —...continue reading.
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...continue reading.
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...continue reading.
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,...continue reading.
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...continue reading.
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...continue reading.
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...continue reading.