📅 2024-09-28 — Session: Data Task Time Analysis and Visualization Enhancements
🕒 21:05–21:40
🏷️ Labels: Data Analysis, Time Management, Visualization, Python, Forecasting
📂 Project: Dev
⭐ Priority: MEDIUM
Session Goal
The session aimed to analyze the time spent on data-related tasks and enhance data visualization techniques.
Key Activities
- Conducted a detailed breakdown of activities and time allocation during a 3-hour data session.
- Implemented a 1-year rolling average in valor plotting using Python, enhancing trend analysis.
- Outlined tasks and objectives for poverty data visualization and predictive modeling.
Achievements
- Gained insights into time management and efficiency in data tasks.
- Improved data visualization with rolling average techniques.
Pending Tasks
- Further improvements in predictive modeling and automation for the Poverty Index project.