Analyzed and Refactored Voting Data and GeoJSON Code

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📅 2023-08-21 — Session: Analyzed and Refactored Voting Data and GeoJSON Code

🕒 00:00–00:40
🏷️ Labels: Data_Analysis, Python, Code_Refactoring, Geojson, Error_Correction
📂 Project: Dev
⭐ Priority: MEDIUM

Session Goal

The session aimed to analyze voting data differences between GB and IN, separate data by vote differences, correct data processing errors, and refactor code for GeoJSON processing.

Key Activities

  • Vote Difference Calculation: Calculated the difference between GB and IN votes by pivoting tables and creating a new column for differences.
  • Data Separation: Implemented a method to separate rows based on positive and negative GB-IN values.
  • Error Correction Strategy: Developed a strategy to correct data processing errors by accumulating absolute differences to achieve 90% of the total.
  • Context Request: Requested additional context for the diffs_sorted dataframe to ensure accurate processing.
  • Code Refactoring: Refactored code for GeoJSON processing by creating reusable functions, adding explicit imports, and including descriptive comments.

Achievements

  • Successfully calculated vote differences and separated data based on GB-IN values.
  • Established a robust error correction strategy.
  • Improved code reusability and clarity for GeoJSON processing.

Pending Tasks

  • Provide additional context for the diffs_sorted dataframe for further analysis.

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