The Ultimate Guide to Seaborn | Plotting in Python using Seaborn скачать в хорошем качестве

The Ultimate Guide to Seaborn | Plotting in Python using Seaborn

Learn how to create and customize data visualizations using Seaborn in Python. This tutorial covers essential plotting techniques including count plots, scatter plots, line plots, boxplots, and point plots. You'll also discover how to use relplot and catplot, set hue and order, adjust plot size and layout, customize styles and colors, and add statistical information, titles, and axis labels. Perfect for data analysts and Python enthusiasts looking to enhance their visualizations. Before watching this video please watch the in-depth Matplotlib tutorial (link below). Support me: BuyMeACoffee: https://buymeacoffee.com/dsfe Patreon:   / dsfeorg   Ko-fi: https://ko-fi.com/dsfe Follow me: Twitter: https://x.com/dsfeorg Github: https://github.com/dsfeorg The Ultimate guide to Matplotlib:    • The Ultimate Guide to Matplotlib | Python   Python libraries Used: pandas, numpy, matplotlib, seaborn Chapters: 0:00 Introduction 1:13 Basics 1:47 Count plot using countplot method 2:25 Scatter plot using scatterplot method 2:52 Set hue 3:35 Set hue order 3:53 Set color palettes 5:53 Scatter plots with relplot method 6:34 Set height and aspect ratio for plots 6:42 Create subplots/ multiple plots 7:30 Wrap subplots using col_wrap 8:02 Set order in subplots 8:26 Customize point size 9:10 Customize point size and hue 9:43 Customize point style 10:20 Customize transparency or alpha 11:16 Line plots with relplot method 11:25 Customize line plots 12:15 Add statistical information (line plots) 13:29 Count plot using catplot method 14:01 Customize count plots 14:25 Add statistical information (bar plots) 15:20 Change plot orientation 15:41 Introduction to boxplots 16:16 Boxplot using catplot method 16:53 Customize boxplots 18:16 Point plots using catplot method 18:31 Customize point plots 19:50 Customize plot backgrounds 20:51 Customize plot color palettes 21:39 Customize plot dimensions and scale 22:03 Adding titles 24:07 Add axes labels 24:27 Rotate axes labels Datasets: Sales data: https://github.com/dsfeorg/seaborn_py... Sales2 data: https://github.com/dsfeorg/seaborn_py... Penguin data: https://github.com/dsfeorg/seaborn_py... In-depth videos on: Linear Regression with statmodels (Python):    • Linear Regression in Python (statsmodels)   Supervised Learning with scikit-learn (Python) Part I:    • Supervised Learning in Python with scikit-...   Supervised Learning with scikit-learn (Python) Part II:    • Supervised Learning in Python with scikit-...   Don’t forget to Like, Share, and Subscribe for more data science content! #python #dataanalysis #seaborn