Data Science Bootcamp Day 6: Matplotlib Tutorial | Line Plots, Bar Charts, Pie Charts & Stack Plots

Описание: 🎯 *Master Data Visualization with Matplotlib in Python!*

Join this comprehensive tutorial where we cover everything you need to know about creating stunning visualizations using Matplotlib. Perfect for beginners and intermediate Python users looking to enhance their data visualization skills.

📚 What You'll Learn:

*🔸 Introduction to Data Visualization*
Why visualization matters in data science
Principles of effective visualization
Making data storytelling engaging and accessible

*🔸 Line Plots Mastery*
Basic plotting with plot() function
Adding labels, titles, and legends
Customizing line styles, colors, and markers
Plotting multiple lines for comparison

*🔸 Bar Charts Deep Dive*
Vertical bar plots
Side-by-side comparison charts
Horizontal bar plots
Adding value labels on top of bars
X-axis configuration and spacing

*🔸 Pie Charts & Customization*
Creating basic pie charts
Color customization and styling
Using explode parameter for emphasis
Formatting percentages with autopct
When to use (and avoid) pie charts

*🔸 Stack Plots for Time Series*
Visualizing multiple quantities over time
Showing part-to-whole relationships
Transparency and color options
Comparing with pie charts

🛠️ Hands-On Practice:
Live coding assignments with real examples
Cricket player statistics visualization
Debugging common errors together
Best practices for clean, readable plots

💡 Key Takeaways:
✅ Import and use matplotlib.pyplot effectively
✅ Create professional-looking visualizations
✅ Choose the right chart type for your data
✅ Customize plots with colors, styles, and labels
✅ Debug common matplotlib errors

🎯 Perfect for:
Python beginners learning data visualization
Data science students
Anyone working with data analysis
Developers wanting to improve their plotting skills

📋 Prerequisites:
Basic Python knowledge
NumPy basics (helpful but not required)

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*⏰ Timestamps:*
00:00 - Introduction to Data Visualization
05:30 - Basic Line Plots
15:45 - Customizing Plots and Styling
25:20 - Bar Charts and Comparisons
40:15 - Horizontal Bar Plots
50:30 - Pie Charts and Limitations
65:10 - Stack Plots for Time Series
75:45 - Assignment Practice & Debugging

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