How to Make Scatterplot with Marginal Density Plots with Seaborn

Scatterplot with marginal densityplot with Seaborn

In this tutorial, we will use Seaborn and learn how to make a scatterplot between two quantitative variables with marginal density plots on the sides. We will use Seaborn’s JointGrid() to define the features of the plot and then add scatter plot on top first and then add marginal density plots as marginal. This strategy… Continue reading How to Make Scatterplot with Marginal Density Plots with Seaborn

How To Make Scatterplot with marginal boxplots with Seaborn ?

Scatterplot with marginal boxplot with Seaborn

In this post, we will learn how to make a scatterplot with marginal boxplots using Seaborn in Python. To make a scatterplot we will use some of Seaborn’s powerful but not very well known functionalities. More specifically, we will use Seaborn’s JointGrid() to set up the plot features and then add two layers of plots.… Continue reading How To Make Scatterplot with marginal boxplots with Seaborn ?

How to Make Histograms with Density Plots with Seaborn histplot?

Histograms with Multiple Density Line: Seaborn histplot()

In this tutorial, we will see how to make a histogram with a density line using Seaborn in Python. With Seaborn version 0.11.0, we have a new function histplot() to make histograms. Here, we will learn how to use Seaborn’s histplot() to make a histogram with density line first and then see how how to… Continue reading How to Make Histograms with Density Plots with Seaborn histplot?

How to Make ECDF plot with Seaborn in Python?

ECDF plot of multiple distributions

ECDF plot, aka, Empirical Cumulative Density Function plot is one of the ways to visualize one or more distributions. In this post, we will learn how to make ECDF plot using Seaborn in Python. Till recently, we have to make ECDF plot from scratch and there was no out of the box function to make… Continue reading How to Make ECDF plot with Seaborn in Python?

Seaborn set_context() to adjust size of plot labels and lines

Seaborn set_context: Talk

One of the challenges in making data visualization is making all aspects of a plot clearly visible. Often, you might see where the axis labels, tick labels are too small and not legible at all. Challenge is that the required sizes of plot aspects like labels, points, lines are not easy to set for different… Continue reading Seaborn set_context() to adjust size of plot labels and lines

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