# Blog

We provide practical tutorials on data mining, visualization and statistics for decision making.

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This R graphics tutorial shows how to customize a ggplot legend. you will learn how to: Change the legend title and text labels Modify the legend position. In the default

#### GGPlot Legend Title, Position and Labels

This R graphics tutorial shows how to customize a ggplot legend. you will learn how to: Change the legend title and text labels Modify the legend position. In the default

This article describes how to format ggplot date axis using the R functions scale_x_date() and scale_y_date(). In this R graphics tutorial, you’ll learn how to: Change date axis labels using

#### GGPlot Date Axis Customization

This article describes how to format ggplot date axis using the R functions scale_x_date() and scale_y_date(). In this R graphics tutorial, you’ll learn how to: Change date axis labels using

This article describes how to create a ggplot with a log scale. This can be done easily using the ggplot2 functions scale_x_continuous() and scale_y_continuous(), which make it possible to set

#### GGPlot Log Scale Transformation

This article describes how to create a ggplot with a log scale. This can be done easily using the ggplot2 functions scale_x_continuous() and scale_y_continuous(), which make it possible to set

This article describes how to easily set ggplot axis ticks for both x and y axes. We’ll also explain how to rotate axis labels by specifying a rotation angle. In

#### GGPlot Axis Ticks: Set and Rotate Text Labels

This article describes how to easily set ggplot axis ticks for both x and y axes. We’ll also explain how to rotate axis labels by specifying a rotation angle. In

This article describes R functions for changing ggplot axis limits (or scales). We’ll describe how to specify the minimum and the maximum values of axes. Among the different functions available

#### GGPlot Axis Limits and Scales

This article describes R functions for changing ggplot axis limits (or scales). We’ll describe how to specify the minimum and the maximum values of axes. Among the different functions available

This article describes how to change ggplot axis labels (or axis title). This can be done easily using the R function labs() or the functions xlab() and ylab(). In this

#### GGPlot Axis Labels

This article describes how to change ggplot axis labels (or axis title). This can be done easily using the R function labs() or the functions xlab() and ylab(). In this

This article describes how to add and change a main title, a subtitle and a caption to a graph generated using the ggplot2 R package. We’ll show also how to

#### GGPlot Title, Subtitle and Caption

This article describes how to add and change a main title, a subtitle and a caption to a graph generated using the ggplot2 R package. We’ll show also how to

Cluster analysis is one of the important data mining methods for discovering knowledge in multidimensional data. The goal of clustering is to identify pattern or groups of similar objects within

#### Cluster Analysis in R: Practical Guide

Cluster analysis is one of the important data mining methods for discovering knowledge in multidimensional data. The goal of clustering is to identify pattern or groups of similar objects within

Clustering methods are used to identify groups of similar objects in a multivariate data sets collected from fields such as marketing, bio-medical and geo-spatial. They are different types of

#### Types of Clustering Methods: Overview and Quick Start R Code

Clustering methods are used to identify groups of similar objects in a multivariate data sets collected from fields such as marketing, bio-medical and geo-spatial. They are different types of

This article describes k-means clustering example and provide a step-by-step guide summarizing the different steps to follow for conducting a cluster analysis on a real data set using R software.

#### Clustering Example: 4 Steps You Should Know

This article describes k-means clustering example and provide a step-by-step guide summarizing the different steps to follow for conducting a cluster analysis on a real data set using R software.