How to duplicate y-axis in ggplot2

Duplicate y-axis in ggplot2 with sec.axis()

In this tutorial, we will learn how to duplicate the primary axis in a plot made with ggplot2. We can duplicate either y-axis or x-axis using ggplot2’s sec.axis() function. Here we will first see an example of duplication y axis and then an example duplicating x-axis using sec.axis method. Let us load tidyverse. How to… Continue reading How to duplicate y-axis in ggplot2

How to increase the gap between boxes in a grouped boxplot with Seaborn

Increase gap between boxes in a nested boxplot with Seaborn

In this post we will learn how to increase the gap between boxes in a nested or grouped boxplot made with Seaborn in Python. We will use Seaborn v0.13.0 that came out in September 2023’s feature to increase the gap size. Let us first load the modules/packages needed to make boxplot and change the gap… Continue reading How to increase the gap between boxes in a grouped boxplot with Seaborn

Four geoms in ggplot2 to visualize uncertainty

Visualizing uncertainty with geom_pointange()

In this post, we will learn about four geoms in ggplot2 that are useful for revealing uncertainty in numerical variables with multiple categories. The four geoms, geom_errorbar(), geom_linerange(), geom_crossbar(), and geom_pointrange() are useful when we have categeorical x values and we are interested in the “distribution of y conditional on x and use the aesthetics… Continue reading Four geoms in ggplot2 to visualize uncertainty

How to make legend order match with plot

Match legend order with plot data order with fct_reorder2

In this post we will learn how to make a line plot such that data on the plot matches with the legend order. We will use forcats package’s fct_reorder2() function. Let us load the packages needed. We will use gapminder data set to make a line plot. First let us compute average life expectancy per… Continue reading How to make legend order match with plot

How to make boxplots between one categorical variable vs all numerical variables

Multiple Boxplots: one categorical variable vs all numerica variables

Often one might be interested in quickly visualizing the relationship between one categorical vs all numerical variables in a dataframe. We can make multiple boxplots between one categorical variable against all the numerical variables on the dataframe at the same time. In this post we will consider a simple example where our dataframe contains one… Continue reading How to make boxplots between one categorical variable vs all numerical variables

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