Welcome to the General Data Science – Visualization (VIZ) Layer

Welcome back to Complex Data Insights (CDI) — where data science is taught through question-driven learning and hands-on code examples.

This layer focuses on Data Visualization — the art of turning raw data into clear, compelling visuals that reveal insights and support decisions.

Using both Python and R, you’ll learn to:

• Create essential plot types
  
• Compare groups and detect trends
  
• Make your charts both beautiful and informative

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📘 What You’ll Learn

Each Q&A builds visual literacy through:

• ✅ Code examples using matplotlib, seaborn, and ggplot2
  
• 📊 Visual storytelling techniques
  
• 💡 Best practices for interpreting and presenting results

You’ll explore how to:

• Build histograms, boxplots, scatter plots, and more
  
• Customize plots with labels, colors, and themes
  
• Export visuals for presentations, reports, or dashboards

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🌟 Turn Data Into Insight

In this layer, you’ll go beyond numbers and learn to communicate findings effectively — one Q&A at a time.

Let’s begin 👉📊