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2. Exploring the Data Science Pipeline via Descriptive Statistics

Descriptive Statistics

• 2.1. Introduction
  • 2.1.1. Learning Goals
  • 2.1.2. Learning Objectives
  • 2.1.3. Reading List
  • 2.1.4. Time Required
  • 2.1.5. Summary Statistics
• 2.2. Case Study 1: The Happiness Report
  • 2.2.1. Introducing the Happiness Report
  • 2.2.2. Happiness Index Research Questions
  • 2.2.3. Summary Statistics
  • 2.2.4. Visualizing Happiness
• 2.3. Case Study 1: Adding More Happiness Data
  • 2.3.1. Happiness by Region
  • 2.3.2. Joining Data from Other Sources
  • 2.3.3. Introducing Pivot Tables
• 2.4. Case Study 1: Comparing Happiness Data across Years
• 2.5. Challenge in Case Study 1: Calculating a Correlation Matrix
• 2.6. Case Study 2: Considering Starting a Business?
  • 2.6.1. Thinking About Starting Your Business
  • 2.6.2. Business Start-Up Data Analysis Research Questions
  • 2.6.3. Visualizing How to Start a Business
• 2.7. Case Study 2: Where Should We Start Our New Business?
  • 2.7.1. Business Score by Region
  • 2.7.2. Joining Data from Other Sources When Considering Starting a New Business
  • 2.7.3. Summarizing Key Business Data Using Pivot Table
• 2.8. Case Study 2: How is Business Over Time?
• 2.9. Case Study 2: Calculating a Correlation Matrix for Business Data
• 2.10. Glossary
  • 2.10.1. Definitions
  • 2.10.2. Keywords

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