📅 2023-03-31 — Session: Comprehensive Geospatial and Investment Data Analysis
🕒 19:30–20:10
🏷️ Labels: Python, Geospatial, Data Analysis, Investment, Geojson
📂 Project: Dev
⭐ Priority: MEDIUM
Session Goal
The session aimed to organize and execute various Python scripts for geospatial data processing and investment analysis, focusing on the intersection of administrative areas, investment per population, and project funding comparisons.
Key Activities
- Organized a Python script for geospatial data processing, including loading shapefiles and saving results in GeoJSON format.
- Processed and merged geodataframes, creating unique project location IDs and saving outputs in GeoJSON.
- Developed a script for calculating investment per capita across administrative areas.
- Analyzed spatial overlap and funding statistics of Chinese and World Bank-funded projects.
- Assessed and suggested optimizations for existing scripts, focusing on coding practices.
- Automated data processing tasks, including PDF generation for World Bank projects.
Achievements
- Successfully executed scripts for geospatial data processing and investment analysis.
- Generated insights into the coexistence of Chinese and World Bank projects.
- Optimized existing scripts for better performance and maintainability.
Pending Tasks
- Further optimization of data processing scripts.
- Exploration of additional datasets for comprehensive analysis.