Pair Plot

A pair plot (or scatterplot matrix) plots every numeric variable in a dataset against every other one, arranged in a grid - giving a fast, comprehensive first look at relationships across an entire dataset during exploratory data analysis.

What a Pair Plot Shows

• Off-diagonal cells - scatter plots between each pair of variables
• Diagonal cells - a histogram or density plot of each individual variable
• Hue grouping - color-coding points by a categorical column to reveal class separation

Plotting with Seaborn

import seaborn as sns

sns.pairplot(df, hue="species")

Why Use It During EDA

Instead of manually creating a scatter plot for every combination of columns, a pair plot generates them all in one call - making it one of the fastest ways to spot correlated variables, clusters, and potential outliers before deeper analysis.