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
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How to Make Boxplot with Jittered Data Points using Altair in Python
In this post, we will learn how to make boxplot with data points using Altair. Latest version of Altair supports making simple boxplots. However, current version of Altair does not support adding adding jittered data points on top of boxplots. Thanks to Justin Bois from Caltech, … [Read more...] about How to Make Boxplot with Jittered Data Points using Altair in Python
Horizontal Boxplots with Points using Seaborn in Python
Horizontal boxplots are useful when you have lots of groups with longer names. If you make simple boxplots, the longer names would overlap on each other and make it impossible to read the group names. Horizontal boxplots solve that problem easily. In this post, we will see an … [Read more...] about Horizontal Boxplots with Points using Seaborn in Python
How to Make Boxplots with Data Points using Seaborn in Python
Boxplot with data points on top of it is often better visualization technique than the boxplots alone. This is mainly because, boxplot with data points actually shows the data underlying the boxplots, while the boxplot alone just shows the summary statistics. Always remember, … [Read more...] about How to Make Boxplots with Data Points using Seaborn in Python
Horizontal Boxplots with Seaborn in Python
Horizontal boxplots cane be very useful, when you have categories with longer names. In general, Boxplots are great visualization tool for looking at multiple distributions at the same time, However, when the description of each distribution on x-axis is bit longer, it may … [Read more...] about Horizontal Boxplots with Seaborn in Python