• Economics Data Analysis
  • I PREFACE
  • Welcome to CDI – Economics Data Analysis
    • Why Economics Data Analysis in CDI?
    • Who this guide is for
    • What you’ll learn
    • How to use this guide
    • Why it matters
    • Transition to Q&A
  • II FOUNDATIONAL Q&A
  • 1 How do you obtain real-world economics datasets?
    • 1.1 Explanation
    • 1.2 World Bank wbdata example
    • 1.3 Python Code
  • 2 How do I compare GDP trends across EAC countries and the USA?
    • 2.1 Explanation
    • 2.2 SQL Approach
  • 3 How do you inspect the GDP data you just loaded?
    • 3.1 Explanation
    • 3.2 SQL/MySQL Code
    • 3.3 Python Code — robust connection (works with XAMPP on macOS)
    • 3.4 Install (once)
  • 4 How do you query a country’s GDP trend over time?
    • 4.1 Explanation
    • 4.2 SQL/MySQL Code
    • 4.3 Python Code
  • 5 How do you compare GDP trends across EAC countries on a single plot?
    • 5.1 Explanation
    • 5.2 SQL/MySQL Code
    • 5.3 Python Code
    • 5.4 ✅ Learning Outcome
    • 5.5 🧠 Takeaway
  • 6 Which EAC country has the most stable vs most volatile GDP growth?
    • 6.1 Explanation
    • 6.2 SQL/MySQL Code
    • 6.3 Python Code
    • 6.4 Learning Outcome
    • 6.5 Takeaway
  • 7 How does Econometrics relate to Machine Learning?
    • 7.1 Explanation
    • 7.2 Example with GDP Growth
    • 7.3 Python Code (Econometrics vs ML)
    • 7.4 Learning Outcome
    • 7.5 Takeaway
  • 8 How do I analyze GDP growth using Econometrics vs Machine Learning?
    • 8.1 Explanation
    • 8.2 SQL/MySQL Code (Econometrics style)
  • 9 How do I create and load a new table for GDP growth factors in MySQL?
    • 9.1 Explanation
    • 9.2 SQL/MySQL Code
    • 9.3 Learning Outcome
    • 9.4 Takeaway
  • 10 How do I visualize GDP levels and GDP growth factors?
    • 10.1 Explanation
    • 10.2 SQL/MySQL Code
    • 10.3 Python Code
  • III REAL WORLD Q&A
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Economics Data Analysis Q&A