A mistake to Avoid while making boxplot with datapoints in ggplot2

Boxplots with Jittered Data points with outlier shape

Making a boxplot with data points on top of the boxplot is a great way to show distributions of multiple groups. A big advantage is that one can see the raw data and the summary stats of distributions using boxplot with data points. ggplot2 in R makes it easy to make boxplots and add data… Continue reading A mistake to Avoid while making boxplot with datapoints in ggplot2

How to Make Boxplot with a Line Connecting Mean Values in R?

Boxplot with line connecting mean values with ggplot2 in R

In this post, we will learn how to draw a line connecting the mean (or median) values in a boxplot in R using ggplot2. Connecting mean or median values in each group i.e. each box in boxplot can help easily see the pattern across different groups. The basic idea in making a boxplot with a… Continue reading How to Make Boxplot with a Line Connecting Mean Values in R?

How to Add Labels to Select Points with ggrepel?

How to add labels to select points ggrepel?

In this post, we will see how to add labels or annotations to select data points such that the labels don’t overlap with each other. We will use the R package ggrepel together with ggplot to add labels without overlaps. More specifically we will use geom_text_repel() function from ggrepel to add annotations to data points.… Continue reading How to Add Labels to Select Points with ggrepel?

How To Rotate x-axis Text Labels in ggplot2

How to rotate x-axis text labels 45 degree?

One of the common problems while making data visualization is making the axis label clearly legible. Often they tend to overlap and make it difficult to read the text labels. There are a few ways we can make the axis text label easy to read. In this tutorial, we will learn how to rotate axis… Continue reading How To Rotate x-axis Text Labels in ggplot2

How To Make Scree Plot in R with ggplot2

Scree plot: barplot with geom_col()

PCA aka Principal Component analysis is one of the most commonly used unsupervised learning techniques in Machine Learning. PCA on a high dimensional data can reveal the pattern or structure in the data. Scree plot is one of the diagnostic tools associated with PCA and help us understand the data better. Scree plot is basically… Continue reading How To Make Scree Plot in R with ggplot2

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