Recent articles



R Basics for Data Visualization




R is a free and powerful statistical software for analyzing and visualizing data. In this chapter, you’ll learn: the bas...

Plot One Variable: Frequency Graph, Density Distribution and More




To visualize one variable, the type of graphs to use depends on the type of the variable: For categorical variables (or ...

Plot Grouped Data: Box plot, Bar Plot and More




In this chapter, we’ll show how to plot data grouped by the levels of a categorical variable. We start by describing how...

Plot Two Continuous Variables: Scatter Graph and Alternatives




Scatter plots are used to display the relationship between two continuous variables x and y. In this article, we’ll start...

Plot Multivariate Continuous Data




When you have a bivariate data, you can easily visualize the relationship between the two variables by plotting a simple sc...

Visualizing Multivariate Categorical Data




To visualize a small data set containing multiple categorical (or qualitative) variables, you can create either a bar ...

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Recent tutorials


Saving High-Resolution ggplots: How to Preserve Semi-Transparency




This article describes solutions for preserving semi-transparency when saving a ggplot2-based graphs into a high qualit...

ggpubr: Create Easily Publication Ready Plots




The ggpubr R package facilitates the creation of beautiful ggplot2-based graphs for researcher with non-advanced programmi...

The Ultimate Guide To Partitioning Clustering




In this first volume of symplyR, we are excited to share our Practical Guides to Partioning Clustering. The course materia...

Practical Guide to Principal Component Methods in R




Introduction Although there are several good books on principal component methods (PCMs) and related topics, we felt th...

Elegant correlation table using xtable R package




Correlation matrix analysis is an important method to find dependence between variables. Computing correlation matrix...

F-Test: Compare Two Variances in R




F-test is used to assess whether the variances of two populations (A and B) are equal. Contents When to you u...

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Books on data science




R Graphics Essentials for Great Data Visualization: 200 Practical Examples You Want to Know for Data Science




This book provides more than 200 practical examples to create the right graphics for the right data using either the ggplot2 pac...[Read more]

Practical Guide to Principal Component Methods in R




This book provides a solid practical guidance to summarize, visualize and interpret the most important information in a large mu...[Read more]

R Cookbook: Proven Recipes for Data Analysis, Statistics, and Graphics




With more than 200 practical recipes, this book helps you perform data analysis with R quickly and efficiently....[Read more]

R Graphics Cookbook: Practical Recipes for Visualizing Data




This practical guide provides more than 150 recipes to help you generate high-quality graphs quickly, without having to comb th...[Read more]

Hands-On Machine Learning with Scikit-Learn and TensorFlow




By using concrete examples, minimal theory, and two production-ready Python frameworks - scikit-learn and TensorFlow - author A...[Read more]

Practical Guide to Cluster Analysis in R




Although there are several good books on unsupervised machine learning, we felt that many of them are too theoretical. This book...[Read more]

R in Action: Data Analysis and Graphics with R




R in Action, Second Edition presents both the R language and the examples that make it so useful for business developers. Focus...[Read more]

An Introduction to Applied Multivariate Analysis with R




An Introduction to Applied Multivariate Analysis with R explores the correct application of these methods so as to extract as m...[Read more]

Applied Predictive Modeling




Applied Predictive Modeling covers the overall predictive modeling process, beginning with the crucial steps of data preprocess...[Read more]

Practical Statistics for Data Scientists: 50 Essential Concepts




This practical guide explains how to apply various statistical methods to data science, tells you how to avoid their misuse, an...[Read more]

R for Marketing Research and Analytics




This book is a complete introduction to the power of R for marketing research practitioners. The text describes statistical mod...[Read more]

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