## 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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## Popular tutorials

Correlation matrix : A quick start guide to analyze, format and visualize a correlation matrix using R software

ggplot2 axis ticks : A guide to customize tick marks and labels

ggplot2 colors : How to change colors automatically and manually?

ggplot2 - Easy way to mix multiple graphs on the same page

ggplot2 legend : Easy steps to change the position and the appearance of a graph legend in R software

ggplot2 barplots : Quick start guide - R software and data visualization

Principal component analysis in R : prcomp() vs. princomp() - R software and data mining

Add legends to plots in R software : the easiest way!

ggplot2 title : main, axis and legend titles

ggplot2 box plot : Quick start guide - R software and data visualization

ggplot2 axis scales and transformations

Text mining and word cloud fundamentals in R : 5 simple steps you should know

R xlsx package : A quick start guide to manipulate Excel files in R

Visualize correlation matrix using correlogram

ggplot2 : Quick correlation matrix heatmap - R software and data visualization

ggplot2 axis ticks : A guide to customize tick marks and labels

ggplot2 colors : How to change colors automatically and manually?

ggplot2 - Easy way to mix multiple graphs on the same page

ggplot2 legend : Easy steps to change the position and the appearance of a graph legend in R software

ggplot2 barplots : Quick start guide - R software and data visualization

Principal component analysis in R : prcomp() vs. princomp() - R software and data mining

Add legends to plots in R software : the easiest way!

ggplot2 title : main, axis and legend titles

ggplot2 box plot : Quick start guide - R software and data visualization

ggplot2 axis scales and transformations

Text mining and word cloud fundamentals in R : 5 simple steps you should know

R xlsx package : A quick start guide to manipulate Excel files in R

Visualize correlation matrix using correlogram

ggplot2 : Quick correlation matrix heatmap - R software and data visualization

## Forum

- 11/07 Selamat hari Pahlawan
- 10/18 PCA
- 10/18 PCA
- 09/22 ggplot2:Defining different y-axis limits in the same boxplot graph when using 2 facets
- 09/01 ggplot2: Changing geom_jitter in specific colors
- 08/16 [Solved] How to colour individuals by custom continuous variable?
- 08/11 [Solved] Remove outlier points in boxplots with jitter
- 08/11 [Solved] How to use p.adj in stat_compare_means()?
- 08/11 [Solved] How to Display Japanese Characters in ggpie()?
- 08/11 [Solved] Text Justification in ggtexttable()

## 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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