📅 2025-03-10 — Session: Developed Exercises for Geospatial and Temporal Data Analysis in Pandas
🕒 11:35–12:25
🏷️ Labels: Pandas, Geopandas, Data Visualization, Teaching, Exercises
📂 Project: Teaching
⭐ Priority: MEDIUM
Session Goal
The session aimed to develop and structure exercises for teaching data analysis using Pandas, focusing on geospatial and temporal data.
Key Activities
- Created structured exercises for geospatial data cleaning and visualization using GeoPandas and Folium, targeting a dataset of WiFi access points in Argentina.
- Developed exercises for temporal data manipulation and visualization using Pandas, Matplotlib, and Seaborn, utilizing real datasets like recipes and survey data.
- Updated exercises on vectorized operations and text manipulation in Pandas, focusing on datasets like recipes and diamonds.
- Designed exploratory data analysis exercises using Pandas for datasets related to transportation and biodiesel prices in Argentina.
Achievements
- Successfully structured multiple exercises covering a wide range of data analysis techniques in Pandas.
- Enhanced the educational material by incorporating real-world datasets and advanced data manipulation techniques.
Pending Tasks
- Review and test the exercises with students to ensure clarity and effectiveness.
- Gather feedback for further refinement and improvement of the exercises.