📅 2023-09-28 — Session: Collaborative Dataset Merging and XML Parsing
🕒 14:45–15:35
🏷️ Labels: Data Merging, Xml Parsing, Python, Visualization, Collaboration
📂 Project: Dev
⭐ Priority: MEDIUM
Session Goal
The session aimed to collaborate on merging datasets and creating graphs for upcoming talks at UC Berkeley and Yale, focusing on development projects. Additionally, it involved processing XML data for project analysis.
Key Activities
- Collaborated with Ruolin to merge datasets and create visualizations for upcoming talks.
- Reviewed Polity IV and Our World in Data datasets for insights into political regimes and global development.
- Summarized Ruolin’s emails regarding data needs, focusing on data cleaning and categorization.
- Analyzed datasets related to World Bank and Chinese funded projects for categorization into infrastructure and non-infrastructure.
- Developed Python scripts for data aggregation, XML loading, and parsing using libraries like Pandas and lxml.
- Refined XML data extraction strategies, addressing parsing issues and ensuring correct handling of nested elements.
- Explored data transformation from XML to CSV and JSON, emphasizing data integrity and efficient processing.
Achievements
- Successfully merged datasets and created preliminary visualizations for talks.
- Developed and tested scripts for XML data processing and conversion.
- Addressed XML parsing issues, improving data extraction accuracy.
Pending Tasks
- Further refinement of XML to CSV conversion to ensure data integrity.
- Finalization of visualizations for upcoming talks.
- Continued collaboration with Ruolin on dataset enhancements.