Enhanced Python Data Processing and Visualization

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📅 2023-08-22 — Session: Enhanced Python Data Processing and Visualization

🕒 19:30–21:10
🏷️ Labels: Python, Data Processing, Visualization, Elections, Modularization
📂 Project: Dev
⭐ Priority: MEDIUM

Session Goal

The session aimed to address issues in Python data processing and enhance code modularity and visualization for electoral data analysis.

Key Activities

  • Handling Empty Arrays: Implemented error handling for quantile computation in Python to manage empty arrays.
  • Code Modularization: Improved and modularized data processing code by encapsulating repeated patterns into functions and using loops for combinations of agruplista and difftag. This included saving data in GeoJSON format.
  • Electoral Data Analysis: Developed a Python procedure to analyze electoral groupings by region and section, calculating vote percentages for 2019 and 2023 elections.
  • Markdown Presentation Generation: Created Python scripts to generate Markdown presentations with tables of votes and percentages, organized by region and section.
  • Visualization of Votes and Percentages: Generated structured tables comparing election results from 2019 and 2023, filtering data to highlight relevant information.

Achievements

  • Successfully implemented error handling for quantile computations.
  • Enhanced code modularity, improving maintainability and efficiency.
  • Developed comprehensive data analysis and visualization tools for electoral data.

Pending Tasks

  • Further optimization of data processing functions for scalability.
  • Integration of additional data sources for a broader analysis scope.

Graph View

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