Calculated vote differences for elections 7 and 8

  • Day: 2023-11-01
  • Time: 17:15 to 18:45
  • Project: Dev
  • Workspace: WP 2: Operational
  • Status: Completed
  • Priority: MEDIUM
  • Assignee: Matías Nehuen Iglesias
  • Tags: Dataframe, Pandas, Elections, Data Analysis, Python

Description

Session Goal

The session aimed to calculate the differences in vote quantities and percentages between elections 7 and 8, focusing on various political groups, vote types, and circuits.

Key Activities

  • Data Preparation: Adjusted DataFrame operations to handle numeric columns separately and merged results.
  • Issue Resolution: Fixed sorting issues by adjusting the sorting key to ensure proper alignment of election data.
  • Data Analysis: Computed differences in vote quantities and percentages using a structured DataFrame.
  • Code Execution: Managed a code execution environment reset, re-imported necessary libraries, and reloaded data.
  • Data Manipulation: Restructured DataFrames for clarity, added difference columns, and adjusted MultiIndex levels to resolve errors.

Achievements

  • Successfully calculated and structured vote differences between elections 7 and 8.
  • Resolved DataFrame sorting and stacking issues, ensuring accurate data manipulation.
  • Enhanced DataFrame structure for future analysis by adding MultiIndex levels.

Pending Tasks

  • Ensure all changes are documented for reproducibility in future analyses.
  • Review and optimize code for performance improvements.

Evidence

  • source_file=2023-11-01.sessions.jsonl, line_number=3, event_count=0, session_id=65fa66b9760a00b603623c174935e10eff1e41d7c28bb90e9c8e46688028cd03
  • event_ids: []