Processed CSV data using Pandas for transaction analysis

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📅 2025-07-05 — Session: Processed CSV data using Pandas for transaction analysis

🕒 19:00–19:10
🏷️ Labels: Python, Pandas, CSV, Data Manipulation, File Handling
📂 Project: Dev
⭐ Priority: MEDIUM

Session Goal

The primary objective of this session was to explore and execute various methods for loading and manipulating CSV data using Python, specifically focusing on financial transaction data.

Key Activities

  • Reviewed essential Python libraries for data manipulation and file handling, including pandas, os, json, textwrap, datetime, and math.
  • Demonstrated loading CSV files into Pandas DataFrames with different configurations, such as encoding and separator options.
  • Executed code snippets to read CSV files, including a UTF-16 encoded file, and previewed data using Pandas’ head() method.
  • Followed a playbook for processing EUR CSV files into a format suitable for integration into a raw_transactions table, including adding columns and applying classification rules.

Achievements

  • Successfully loaded and previewed CSV data using Pandas.
  • Established a repeatable process for converting EUR CSV files for transaction analysis.

Pending Tasks

  • Further refine the transaction categorization rules to improve accuracy.
  • Explore additional data manipulation techniques for more complex datasets.

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