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GitHubLíon na míonna: 2

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 University4y

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.
GitHub27 lá

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 ...