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 --- 📘 Jupyter Notebook used: https://colab.research.google.com/dri... 🔔 Subscribe to our YouTube channel and turn on notifications for more live classes:    / @datawithajaykumargupta   🌐 Visit our website: http://www.careercraftpro.com 📲 Follow us: Instagram:   / careercraftpro_   LinkedIn (CareerCraft):   / careercraftai   LinkedIn (Ajay Kumar Gupta):   / ajay-kumar-gupta-406597134   WhatsApp Channel: https://www.whatsapp.com/channel/0029... Telegram: https://t.me/+YzRVdAdjAVA4MzU9 --- #visualisation #datascience #python #machinelearning #deeplearning #artificialintelligence #dataanalysis #data #datasciencecommunity #datasciencejourney #careerindatascience #learnpython #programming #coding #technology #Topic #analytics #generativeai