Understanding data types is critical because different types require different handling.

1. Structured Data

  • Organized in rows and columns
  • Example: Excel, SQL tables

2. Unstructured Data

  • No fixed format
  • Example: Images, videos, text

3. Semi-Structured Data

  • Partial organization
  • Example: JSON, XML

📌 Numerical vs Categorical Data

Numerical Data

  • Continuous (height, weight)
  • Discrete (number of students)

Categorical Data

  • Nominal (colors, names)
  • Ordinal (rankings: high, medium, low)
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