📅 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
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.