Data Integration and Visualization for Electoral Analysis

📅 2023-11-01 — Session: Data Integration and Visualization for Electoral Analysis

🕒 03:40–04:35
🏷️ Labels: Data_Analysis, Visualization, Python, Matplotlib, Voter_Behavior
📂 Project: Dev
⭐ Priority: MEDIUM

Session Goal:

The session aimed to review and enhance code for processing and merging datasets to analyze voter behavior and income data, and to create visualizations for electoral analysis.

Key Activities:

• Reviewed a code snippet for merging datasets related to income and voter behavior, suggesting best practices for improvement.
• Outlined steps to merge circuitos and data_circ datasets, sort by elector count, apply binning, and create visualizations.
• Requested the upload of necessary datasets for analysis.
• Provided a structured workflow for merging and analyzing electoral circuit datasets, including data processing and visualization steps.
• Adapted Python code for visualizing political data using box plots and scatter plots, focusing on clarity and efficiency.
• Modified plot aesthetics in Matplotlib to enhance visual appeal, addressing a font size parameter error.

Achievements:

• Established a comprehensive workflow for dataset merging and visualization.
• Improved the clarity and functionality of data visualization code.
• Resolved a Matplotlib font size parameter error, enhancing plot aesthetics.

Pending Tasks:

• Upload the circuitos and data_circ datasets to proceed with the outlined data merging and visualization tasks.