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Description: This notebook describes how to:

  • Create a Pandas Series or DataFrame
  • Accessing data rows, columns, elements using .loc and .iloc
  • Creating filters using boolean operators
  • Changing data in rows, columns, and elements

This is the first notebook in a series on learning to use Pandas.

Use Case: For Learners (Detailed explanation, not ideal for researchers)

Difficulty: Intermediate

Knowledge Required:

Knowledge Recommended:

Completion Time: 75 minutes

Data Format: CSV (.csv)

Libraries Used: Pandas

Research Pipeline: None