Lecture 9- Visualization with Matplotlib & Seaborn| Matplotlib, Seaborn | Data Seekho M3 L1

🎨 Visualize Your Data Like a Pro with Matplotlib and Seaborn 📊
Chapters
00:00 Introduction
00:49 Components of Graph
02:13 Import or Create Data
04:30 Customizing Graph
05:06 Matplotlib: 1) Line Plot
07:27 Matplotlib: 2) Bar Plot
09:10 Matplotlib: 3) Histogram
10:49 Matplotlib: 4) Scatter Plot
12:23 Matplotlib: 5) Pie Plot
13:24 Matplotlib: 6) Box Plot
14:49 Matplotlib: 7) Area Plot
16:50 Seaborn
17:25 Seaborn: Common Charts from Matplotlib
17:40 Seaborn: 1) Line Plot
18:45 Seaborn: 2) Bar Plot
19:39 Seaborn: 3) Histogram
20:19 Seaborn: 4) Scatter Plot
20:33 Seaborn: 5) Pie Plot
21:01 Seaborn: 6) Box Plot
21:25 Seaborn: 7) Area Plot
22:02 Seaborn: 8) Heatmap
25:19 Different Charts
25:30 Matplotlib VS Seaborn
27:33 Blog & Source Code

GitHub Source Code
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Real Life Charts:
Blog

In this video, we explore two of Python’s most powerful libraries for data visualization: Matplotlib and Seaborn. Learn how to transform raw data into stunning and meaningful visualizations with easy-to-follow examples and real-world use cases.

🚀 What You’ll Learn:

- Introduction to Matplotlib: Creating basic plots (line, bar, scatter, etc.).
- Advanced Visualizations with Seaborn: Heatmaps, box plots, and more.
- Customization: Styling, colors, labels, and legends to make your plots stand out.
- Matplotlib VS Seaborn
💡 Who’s It For?
Whether you're a beginner or looking to sharpen your data visualization skills, this video is perfect for data enthusiasts, analysts, and Python programmers.

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GitHub Source Code
E-commerce Charts:
Real Life Charts:
Blog