Seaborn Crash Course - Data Visualization in Python

This video today is a crash course on Seaborn, a data visualization library for Python built on top of Matplotlib. It makes it super simple to create statistical graphs of datasets. Seaborn Docs: https://seaborn.pydata.org/api.html ◾◾◾◾◾◾◾◾◾◾◾◾◾◾◾◾◾ 📚 Programming Books & Merch 📚 🐍 The Python Bible Book: https://www.neuralnine.com/books/ 💻 The Algorithm Bible Book: https://www.neuralnine.com/books/ 👕 Programming Merch: https://www.neuralnine.com/shop 💼 Services 💼 💻 Freelancing & Tutoring: https://www.neuralnine.com/services 🖥️ Setup & Gear 🖥️: https://neuralnine.com/extras/ 🌐 Social Media & Contact 🌐 📱 Website: https://www.neuralnine.com/ 📷 Instagram:   / neuralnine   🐦 Twitter:   / neuralnine   🤵 LinkedIn:   / neuralnine   📁 GitHub: https://github.com/NeuralNine 🎙 Discord:   / discord   Timestamps: (0:00) Intro (0:34) Environment Setup (3:01) Themes & Color Palettes (6:33) Loading Datasets (8:16) Relational Plots, Scatterplot, Lineplot (14:00) Distribution Plots, Histograms, KDE Plots (19:15) Categorical Plots, Boxplot, Barplot, Swarmplot (24:20) Jointplot, Pairplot (25:48) Heatmap (30:06) Clustermap (33:44) Regression Plots (35:05) Outro