📅 2023-07-13 — Session: Designed and Implemented Election Database Schema

🕒 00:20–01:10
🏷️ Labels: Database, Election, Schema, SQL, Python
📂 Project: Dev
⭐ Priority: MEDIUM

Session Goal

The session aimed to design and implement a comprehensive database schema for managing election-related data, including defining tables, relationships, and data manipulation processes.

Key Activities

  • Database Schema Design: Outlined a detailed database schema for election management using markdown, including tables, primary keys, and foreign keys.
  • SQL Table Creation: Provided SQL DDL examples for creating election-related tables, ensuring proper key definitions.
  • DBML Schema Representation: Developed a DBML schema for the election database, detailing the structure and relationships between entities.
  • Data Manipulation with Python: Implemented Python code using Pandas for loading, filtering, and concatenating datasets related to election data.

Achievements

  • Successfully created a structured database schema for election management, covering all necessary tables and relationships.
  • Developed and tested SQL and DBML scripts for database implementation.
  • Implemented effective data manipulation techniques using Python and Pandas.

Pending Tasks

  • Further testing and validation of the database schema with real election data.
  • Optimization of Python scripts for better performance with larger datasets.