📅 2023-07-26 — Session: Refactored Geospatial Data Processing Scripts and Project Planning
🕒 04:00–07:50
🏷️ Labels: Geospatial, Python, Data Processing, Code Refactoring, Geopandas
📂 Project: Dev
⭐ Priority: MEDIUM
Session Goal
The session aimed to enhance the organization and readability of Python scripts for geospatial data processing and to plan future projects related to geospatial data visualization.
Key Activities
- Geospatial Data Handling: Discussed loading, processing, and saving GeoJSON data, emphasizing the importance of code comments for clarity.
- Data Manipulation with Pandas: Loaded CSV files into Pandas DataFrames, converting them to dictionary formats, and explored data type selection using
select_dtypes(). - Code Refactoring: Improved code modularity and readability by breaking down functions, enhancing variable naming, and incorporating exception handling.
- Project Planning: Proposed notebook titles for geospatial analysis and provided an overview of the GeoCenso-Visualizer project, including SEO-focused repository name suggestions.
Achievements
- Refactored Python code to improve organization and maintainability.
- Developed a Python script for merging geographic and aggregated data using Pandas and GeoPandas.
- Planned the structure and content for future geospatial data visualization projects.
Pending Tasks
- Finalize and implement the proposed notebook titles and contents for geospatial data analysis.
- Continue enhancing the GeoCenso-Visualizer project with more detailed usage guidelines and contribution processes.