Implementation:DistrictDataLabs Yellowbrick Anscombe Plot

Knowledge Sources	DistrictDataLabs_Yellowbrick
Domains	Visualization, Data_Science
Last Updated	2026-02-08 05:00 GMT

Overview

Concrete tool for rendering Anscombe's Quartet demonstration plot illustrating the importance of data visualization, provided by the Yellowbrick library.

Description

The anscombe module embeds four datasets from Anscombe's Quartet (1973). These datasets have nearly identical simple statistical properties (mean, variance, correlation, linear regression line) but produce dramatically different scatter plots. The function renders a 2x2 grid with scatter plots and linear best fit lines.

Usage

Import this function for teaching or demonstration contexts where you want to illustrate why summary statistics alone are insufficient and visualization is essential for understanding data.

Code Reference

Source Location

• Repository: DistrictDataLabs_Yellowbrick
• File: yellowbrick/anscombe.py
• Lines: 1-85

Signature

def anscombe():
    """
    Creates 2x2 grid plot of 4 Anscombe's Quartet datasets.

    Returns
    -------
    axa, axb, axc, axd : tuple of matplotlib.Axes
    """

Import

from yellowbrick.anscombe import anscombe

I/O Contract

Inputs

Name	Type	Required	Description
(none)	—	—	Function takes no arguments

Outputs

Name	Type	Description
axes	tuple of 4 Axes	The four matplotlib Axes objects (axa, axb, axc, axd)

Usage Examples

from yellowbrick.anscombe import anscombe
import matplotlib.pyplot as plt

axes = anscombe()
plt.tight_layout()
plt.show()

Related Pages

• Environment:DistrictDataLabs_Yellowbrick_Python_Scikit_Learn_Environment