GeoJSON Data Processing and Visualization

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📅 2024-10-21 — Session: GeoJSON Data Processing and Visualization

🕒 21:55–22:30
🏷️ Labels: Geojson, Python, Data Visualization, Geopandas, Matplotlib
📂 Project: Dev
⭐ Priority: MEDIUM

Session Goal

The session aimed to process and visualize geospatial data using Python libraries, focusing on GeoJSON files related to villages.

Key Activities

  • An overview of GeoJSON files in the villages directory was provided, setting the context for the data processing tasks.
  • A Python script was introduced to preview non-geometry data from GeoJSON files, facilitating quick data inspection.
  • A relational schema was proposed to integrate various datasets, detailing the structure and relationships among tables.
  • A step-by-step guide for data aggregation and visualization using Python was outlined, leveraging libraries like Geopandas and Matplotlib.
  • An error related to the markersize parameter in Matplotlib was resolved, ensuring proper visualization of grouped data.
  • Solutions for handling non-numeric data in GeoDataFrames and addressing empty DataFrames in geo-data visualization were provided.

Achievements

  • Successfully inspected and processed GeoJSON files for non-geometry data.
  • Developed a comprehensive relational schema for dataset integration.
  • Implemented data aggregation and visualization strategies, resolving key errors in data handling.

Pending Tasks

  • Further refinement of data visualization scripts to enhance robustness and error handling.
  • Exploration of additional datasets for comprehensive mapping and analysis.

Graph View

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