Advanced Data Visualization & Analysis | Bar, Histogram, Pie, Boxplot, 3D & Area Plots (Part 2)

Take your Python data visualization skills to the next level! In this session, we explore advanced plotting techniques using Matplotlib, Seaborn, and real-world datasets. Learn to create professional, insightful, and interactive plots to analyze trends, distributions, and correlations.

Topics Covered:

Bar plots: vertical, horizontal, stacked, customized colors, width, edge colors, and top performers
Histogram: univariate analysis, stacked histograms, mean line, and frequency distribution
Pie charts: percentage share, exploded slices, contributions per category, real dataset examples
Boxplot & Violin plot: distribution and consistency analysis of players' runs
Advanced Matplotlib techniques: scatter plots with color mapping, bubble sizes, horizontal & vertical lines, annotations
Subplots: multiple plots in one figure, shared axes, and layout optimization
3D Plots: 3D line, 3D scatter, 3D bar, 3D surface, and contour plots
Area plots & stacked area plots: visualize quantitative changes over time
Style & themes: matplotlib styles, dark backgrounds, saving plots to files
Real-world datasets: IPL 2023 Batsman dataset, Seaborn tips dataset

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📘 Jupyter Notebook used:
https://colab.research.google.com/drive/1-X4h8GdZLTCq5G03OLpOPG_oDqkfop85

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Видео Advanced Data Visualization & Analysis | Bar, Histogram, Pie, Boxplot, 3D & Area Plots (Part 2) канала Ajay Kumar Gupta