GitHub

Use Seaborn or Matplotlib to create: Histogram for at least one numeric column Boxplot to detect outliers Correlation heatmap Pair plot to compare clusters (if applicable)

Data Visualization Project using Seaborn & Matplotlib This project demonstrates key data visualization techniques using Python libraries Seaborn and Matplotlib. The dataset includes numeric features ...
Simon Fraser University

2. Basic Visualization¶

Two graphics libraries are in common use in Python: Matplotlib and Seaborn. Seaborn is an extension of Matplotlib that addresses a few specific graphics challenges, including histograms and boxplots.
GitHub

ahmedbasil05/Matplotlib-from-Beginner-to-Advanced

Covers all Matplotlib concepts in order Includes real datasets for practice Beginner-friendly and well-structured Great reference for data science & ML projects ...
Simon Fraser University

Advanced Matplotlib Concepts

It is possible to set a logarithmic scale for one or both axes. This functionality is in fact only one application of a more general transformation system in Matplotlib. Each of the axes' scales are ...