Introduction to Seaborn Relationship Diagram
Introduction to Seaborn Relationship Plots
Statistical connections between data points are visualized using relationship plots. Visualization is crucial because it helps humans discover trends and patterns in data. Statistical analysis is the process of determining how variables in a dataset relate to each other and the relationships between them.
As the name suggests, a relationship plot shows how two variables in a dataset are related to each other.
Seaborn provides several methods to make plotting relationship plots easier. In the following article, we’ll look at all the functions that allow you to plot relationship plots.
Functions
Below is a list of all Seaborn relationship functions.
| Number | Method and Description |
|---|---|
| 1 | relplot()This method allows users to plot correlations between variables and mappings between different semantic groups. |
| 2 | lineplot()This method allows users to plot a line plot that may have multiple semantic groups. |
| 3 | scatterplot()This method allows users to plot a scatter plot that may have multiple semantic groups. |
Before continuing, we need data to plot. If you don’t have existing data, you can use datasets from the seaborn library.
In addition to being a statistical charting toolkit, Seaborn also includes a variety of default datasets. We will use one of these built-in datasets as an example of a default dataset.
Let’s consider the prompt dataset for our first example. The “Tips” dataset includes information about people who may have dined at a restaurant, whether they left a tip for the waiter, their gender, smoking status, and other factors.
The
get_dataset_names() method helps retrieve the names of all built-in datasets.
seaborn.get_dataset_names()
The
load_dataset() method helps load named datasets into a data structure.
Tips=seaborn.load_dataset('tips')
The above line of code helps load the dataset named “tips” into a data structure called tips.
Now that we have the data to plot, let’s learn how to use the Seaborn library to create a relationship graph.