📅 2023-07-13 — Session: Developed Election Database Schema and Data Processing Scripts
🕒 00:20–01:10
🏷️ Labels: Database, Election, Python, Pandas, DBML, SQL
📂 Project: Dev
⭐ Priority: MEDIUM
Session Goal
The session aimed to design and implement a database schema for managing election data and to develop Python scripts for data processing.
Key Activities
- Database Schema Design: Developed a comprehensive database schema for election management using markdown and DBML formats, detailing tables, primary keys, and foreign key relationships.
- SQL Table Creation: Provided SQL DDL examples for creating election-related tables, ensuring proper key definitions.
- Data Processing with Python: Created Python scripts using Pandas for loading, filtering, and concatenating CSV datasets, focusing on election vote data.
Achievements
- Successfully outlined and documented a database schema for elections, including tables for elections, districts, sections, and circuits.
- Developed SQL scripts for table creation with a focus on maintaining data integrity through key constraints.
- Implemented Python scripts for efficient data manipulation, enabling the loading and processing of election data.
Pending Tasks
- Further testing and validation of the database schema and Python scripts to ensure robustness and accuracy.
- Integration of the database schema with existing systems for real-time data management.