📅 2023-08-17 — Session: Enhanced Data Processing with Geo Personas and DBML Schema
🕒 18:15–19:05
🏷️ Labels: Python, DBML, Data Processing, Database Schema
📂 Project: Dev
⭐ Priority: MEDIUM
Session Goal
The session aimed to enhance data processing transparency and update database schemas for improved data management.
Key Activities
- Modified the
geo_personasfunction to include a loop for printing column maximum values before merging datasets, aiding in data transparency. - Added print statements for data verification during dataset merging to ensure accuracy and understanding of the data.
- Proposed and updated a DBML schema defining the structure and relationships of database tables, focusing on population data and radio circuits.
- Revised the database schema by removing the
radios_circuitostable and detailing the relationships among remaining tables.
Achievements
- Successfully implemented data transparency measures in the
geo_personasfunction. - Developed a comprehensive DBML schema outlining the relationships between various database tables, enhancing data modeling and management.
Pending Tasks
- Further testing and validation of the updated DBML schema in a live environment to ensure robustness and accuracy.