Explored Data Analysis Techniques with Pandas

📅 2025-03-16 — Session: Explored Data Analysis Techniques with Pandas

🕒 15:10–17:40
🏷️ Labels: Pandas, Data Analysis, Python, CSV, Drone
📂 Project: Dev
⭐ Priority: MEDIUM

Session Goal

The primary goal of this session was to explore various data analysis techniques using Pandas in Python, focusing on handling data interruptions, future warnings, and creating pivot tables.

Key Activities

• Identifying Budget Drones: Explored methods to identify budget-friendly drone models similar to DJI Mavic Mini, including compatible controllers.
• Handling CSV Download Interruptions: Discussed strategies to manage network interruptions during CSV file downloads using Pandas, providing solutions to prevent data loss.
• Understanding FutureWarnings: Examined the causes of FutureWarnings in Pandas when using np.mean in aggregation, and discussed how to address these warnings for future compatibility.
• Constructing Pivot Tables: Provided a step-by-step guide on building pivot tables, enhancing data analysis capabilities.
• Data Analysis of Park Trees: Analyzed tree data using Pandas methods like groupby, set_index, unstack, and pivot_table, with practical code examples.
• Data Manipulation Without pivot_table(): Demonstrated data manipulation techniques using Pandas methods to gain insights without relying on pivot_table().

Achievements

• Developed a deeper understanding of handling data interruptions and future warnings in Pandas.
• Gained proficiency in constructing and manipulating data using pivot tables and other Pandas methods.

Pending Tasks

• Further exploration of drone models and their technological specifications.
• Continued practice with Pandas to solidify understanding of data manipulation techniques.