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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 ...
GitHub

developerZohab/python-data-visualization-toolkit

A beginner-friendly collection of Python scripts demonstrating data visualization techniques with Matplotlib, Pandas, and NumPy. From simple line charts to advanced customized plots — this repository ...
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.
IEEE

Python Data Cleaning Cookbook: Prepare your data for analysis with pandas, NumPy, Matplotlib, scikit-learn, and OpenAI

Jumping into data analysis without proper data cleaning will certainly lead to incorrect results. The Python Data Cleaning Cookbook - Second Edition will show you tools and techniques for cleaning and ...