📅 2023-10-02 — Session: Enhanced Hierarchical JSON Export Function
🕒 16:00–16:50
🏷️ Labels: JSON, Python, Data Export, Error Handling, Hierarchical Data
📂 Project: Dev
⭐ Priority: MEDIUM
Session Goal
The session aimed to improve the handling and exportation of hierarchical JSON data structures, particularly focusing on time series data and metadata management.
Key Activities
- Reviewed a guide on time series analysis related to poverty data in Argentina, utilizing Python and pandas.
- Explored data efficiency strategies including normalization and compression.
- Developed a Python script to analyze JSON files, extracting unique and maximum values.
- Proposed modifications to the
exportar_a_jsonfunction to support hierarchical structures and metadata inclusion. - Implemented error handling for JSON serialization, particularly for
Timestampobjects.
Achievements
- Successfully modified the
exportar_a_json_jerarquicofunction to support hierarchical data structures, incorporating metadata and handling timestamps effectively. - Addressed and resolved errors related to JSON data structure handling and serialization.
Pending Tasks
- Further testing of the modified function to ensure robustness and performance in different data scenarios.