📅 2023-03-31 — Session: Developed Data Visualization for Project Analysis
🕒 18:05–18:30
🏷️ Labels: Data Visualization, Python, Matplotlib, Bar Chart, Error Handling
📂 Project: Dev
⭐ Priority: MEDIUM
Session Goal:
The objective of this session was to enhance data visualization techniques for analyzing project data from Chinese and World Bank sources.
Key Activities:
- Developed and modified Python code snippets to create stacked and grouped bar charts using Matplotlib.
- Focused on visualizing the number of projects and total funding by administrative area and year.
- Implemented solutions for common visualization issues such as rotating x-axis labels and fixing mismatched tick locations.
- Updated code for improved aesthetics, including wider bars and better labeling.
Achievements:
- Successfully generated various bar plots to compare project data across different dimensions.
- Addressed and corrected errors in plotting code to ensure accurate data representation.
Pending Tasks:
- Further refinement of visualization aesthetics and exploration of additional data dimensions could be considered in future sessions.