When you have dataset with two categorical variables and one quantitative variable, a grouped barplot is a great way to see the relationship among the variable. In a simple barplot, we have categorical variable on x-axis and have bars showing the numerical value of the … [Read more...] about How to Make Grouped/Stacked Barplot in R?
Grouped Boxplot with Jittered Points with Seaborn Python
Grouped boxplots help us visualize the relationship between three variables, two categorical variables and one quantitative variable. When we make a boxplot, it is always a good idea to add the original data points on top of the boxplot, when possible. In this post, we will learn … [Read more...] about Grouped Boxplot with Jittered Points with Seaborn Python
How to Change X and Y Axis Values from Real to Integers in ggplot2
When you make a plot with ggplot2, it automatically chooses appropriate range for x and y-axis values and it can be either floats or integers. In this post, we will see how to change X/Y-axis values to integers. In ggplot2, we can use scale_x_continuous() and scale_y_continuous() … [Read more...] about How to Change X and Y Axis Values from Real to Integers in ggplot2
How to Make Grouped Boxplot with Jittered Data Points in ggplot2
Grouped boxplots are excellent for comparing distributions across multiple categories, but they can hide important details about sample sizes and individual data points. By adding jittered points to your ggplot2 boxplot with points, you create more informative visualizations that … [Read more...] about How to Make Grouped Boxplot with Jittered Data Points in ggplot2
How To Change Edge Color on Seaborn Scatter Plot?
Seaborn's scatterplot function allows us to make compelling scatter plots easily. In this post we will learn how to customize edge color of a scatter plot made with Seaborn. By default, Seaborn's scatter plot function colors the markers edge color to be white. In this post, … [Read more...] about How To Change Edge Color on Seaborn Scatter Plot?