Customized Seaborn Boxplots for Voting Patterns

1 min read

📅 2023-11-02 — Session: Customized Seaborn Boxplots for Voting Patterns

🕒 02:00–02:20
🏷️ Labels: Seaborn, Boxplot, Data Visualization, Python, Matplotlib
📂 Project: Dev
⭐ Priority: MEDIUM

Session Goal

The goal of this session was to customize the appearance of Seaborn boxplots to visually represent voting patterns across different political parties and income levels.

Key Activities

  • Customized boxplot appearance using Seaborn by adjusting box face transparency and edge colors.
  • Addressed Seaborn version compatibility issues by manually setting facecolors due to the unrecognized fill parameter.
  • Resolved SettingWithCopyWarning in DataFrame and prepared data for visualization.
  • Debugged IndexError in color assignment by checking list lengths and implementing error handling.
  • Adapted code to dynamically calculate components per group and ensure proper color indexing.
  • Modified boxplot code to reflect party differences without separating by election type.
  • Applied specific colors to error bars to match box edges for visual consistency.

Achievements

  • Successfully customized boxplots with transparent faces and colored edges.
  • Ensured compatibility with different Seaborn versions.
  • Improved error handling and data preparation for visualization.

Pending Tasks

  • Further refine the visualization to enhance clarity and insight into voting patterns.

Graph View

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