📅 2024-10-21 — Session: GeoJSON Data Processing and Visualization Enhancements
🕒 21:55–22:25
🏷️ Labels: Geojson, Data Visualization, Python, Geopandas, Database Design
📂 Project: Dev
⭐ Priority: MEDIUM
Session Goal
The session aimed to enhance data processing and visualization capabilities for GeoJSON files related to village mapping projects.
Key Activities
- GeoJSON Files Overview: Reviewed the list of GeoJSON files available in the ‘villages’ directory for mapping tasks.
- Data Inspection: Implemented a Python script using GeoPandas to preview non-geometry data from GeoJSON files, aiding in quick data inspection.
- Database Design: Proposed a relational schema to integrate datasets related to villages and programs, detailing table structures and relationships.
- [[Data Visualization]]: Developed a strategy for data aggregation and visualization using Python libraries, focusing on grouping data and visualizing it with centroids on maps.
- Error Resolution: Addressed a
markersizeparameter error in Matplotlib, ensuring proper visualization by adjusting marker sizes. - Data Cleaning: Converted non-numeric strings to numeric types in a GeoDataFrame, enabling correct mathematical operations.
- Robust Data Handling: Implemented solutions to handle empty DataFrames in geospatial visualizations, preventing errors during data processing.
Achievements
- Successfully previewed and processed GeoJSON data for mapping tasks.
- Established a comprehensive relational schema for dataset integration.
- Enhanced data visualization techniques with error handling improvements.
Pending Tasks
- Further refine the relational schema based on additional dataset requirements.
- Continue testing visualization scripts with diverse GeoJSON datasets to ensure robustness.