Developed DBML schemas and data manipulation scripts

• Day: 2023-08-05
• Time: 21:00 to 22:15
• Project: Dev
• Workspace: WP 2: Operational
• Status: Completed
• Priority: MEDIUM
• Assignee: Matías Nehuen Iglesias
• Tags: DBML, Python, Data Transformation, CSV, Data Modeling

Description

Session Goal: The session aimed to develop and refine DBML schemas for data transformation processes and establish data manipulation scripts using Python.

Key Activities:

• Created a DBML schema outlining the structure for input and transformed data tables, focusing on 1:1 relationships between columns.
• Expanded the DBML representation to include new tables (RFC1, RFC2, RFC3) and their relationships, enhancing the data model.
• Implemented Python scripts using pandas to load CSV files, update and standardize region names, and concatenate multiple CSV files.

Achievements:

• Successfully defined and visualized 1:1 relationships in DBML for various tables, providing a clear data model for transformation processes.
• Developed Python code snippets to efficiently manipulate and update DataFrames, ensuring data consistency and readiness for further analysis.

Pending Tasks:

• Further testing and validation of DBML schemas and Python scripts to ensure robustness in different data scenarios.

Evidence

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• event_ids: []