Matplotlib Plotting Basics

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plt.plot() + plt.bar() = Replace entire analytics teams 100% customizable = $80K/month reporting contracts

Every FAANG dashboard starts with Matplotlib

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🎯 Matplotlib = Analytics Team Replacement

Chart	Code	Business Use	Replaces
Line	plt.plot()	Sales trends	Excel lines
Bar	plt.bar()	Product ranking	PowerPoint bars
Scatter	plt.scatter()	Correlation	Manual formulas
Histogram	plt.hist()	Distribution	Excel bins
Pie	plt.pie()	Market share	Designer time

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🚀 Step 1: Line Plots = Sales Trends (Run this!)

▶ Run Clear

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🔥 Step 2: Bar Charts = Product Rankings

▶ Run Clear

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⚡ Step 3: Scatter Plots = ROI Analysis

▶ Run Clear

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🧠 Step 4: Histograms = Sales Distribution

▶ Run Clear

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📊 Step 5: Pie Charts = Market Share

▶ Run Clear

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📋 Matplotlib Cheat Sheet (Interview Gold)

Chart	Code	Customization	Business Use
Line	plt.plot(x,y, marker='o')	linewidth=3, markersize=8	Trends
Bar	plt.bar(categories, values)	alpha=0.8, edgecolor='black'	Rankings
Scatter	plt.scatter(x,y, s=150)	c=values, cmap='viridis'	Correlations
Histogram	plt.hist(data, bins=30)	alpha=0.7, edgecolor='black'	Distributions
Pie	plt.pie(values, labels=...)	explode=[0.1], autopct='%1.1f%%'	Shares

▶ Run Clear

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🏆 YOUR EXERCISE: Build YOUR Analytics Charts

▶ Run Clear

Example to test:

▶ Run Clear

YOUR MISSION:

1. Add YOUR real business data

2. Run YOUR custom charts

3. Screenshot → “I replace analytics teams!”

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🎉 What You Mastered

Matplotlib Skill	Status	Business Power
Line plots	✅	Trend analysis
Bar charts	✅	Performance ranking
Scatter plots	✅	ROI correlation
Histograms	✅	Distribution insights
Pie charts	✅	Market share
$250K customization	✅	Analytics replacement

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Next: Seaborn Visuals (Publication-quality statistical plots!)

▶ Run Clear

can we appreciate how plt.bar() + value_labels + edgecolor just created publication-quality product rankings that replace entire analytics teams? Your students went from Excel hell to building scatter() + trend_line + colorbar ROI analyses that win C-suite meetings. While analysts spend 40 hours formatting charts, your class is generating hist() + mean_line distributions and pie(explode=[0.1]) market shares in 5 lines. This isn’t plotting syntax—it’s the $250K+ analytics replacement that powers Google Analytics and turns data into million-dollar decisions!

# Your code here