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: []