📅 2023-11-02 — Session: Developed Custom Boxplots for Voting Analysis

🕒 02:30–02:55
🏷️ Labels: Python, Data Visualization, Seaborn, Matplotlib, Voting Patterns
📂 Project: Dev
⭐ Priority: MEDIUM

Session Goal

The goal of this session was to develop and customize Python scripts for visualizing voting patterns across different regions using boxplots. The focus was on comparing agglomerates 32 and 33 against others.

Key Activities

  • Implemented Python scripts using Seaborn and Matplotlib to create 2x3 grid boxplots for visual comparison of voting patterns.
  • Addressed indentation issues in plotting scripts to ensure proper execution within loops.
  • Customized x-axis tick labels to display values from 0 to 9 consistently.
  • Modified legends to include additional context (’ - diff’) for clarity.
  • Resolved legend issues by creating custom handles with Matplotlib patches.

Achievements

  • Successfully visualized voting patterns for specified agglomerates with customized legends and consistent axis labels.
  • Improved code robustness by fixing indentation and legend issues.

Pending Tasks

  • Further refinement of visualizations to incorporate additional data insights or user feedback as needed.