Data Analysis and Drone Identification

2 min read

📅 2025-03-16 — Session: Data Analysis and Drone Identification

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

Session Goal

The session aimed to cover two main areas: identifying a budget-friendly drone model and addressing various data analysis tasks using Python and Pandas.

Key Activities

  • Identifying a Budget Drone Model: Explored options for budget-friendly drones, focusing on models similar to the DJI Mavic Mini. Provided guidance on finding model information and compatible controllers.
  • Handling KeyboardInterrupt During CSV Download: Addressed issues with network interruptions during CSV downloads in Pandas, offering solutions to mitigate such interruptions.
  • Understanding FutureWarning in Pandas: Explained the cause of FutureWarnings related to np.mean in aggregation functions and provided fixes for future compatibility.
  • Desglose del Proceso de Construcción de una Tabla Pivot: Offered a step-by-step guide to building pivot tables in data analysis.
  • Proceso de Análisis de Datos de Árboles en Parques: Detailed the process of analyzing park tree data using Pandas methods like groupby, set_index, unstack, and pivot_table.
  • Manipulación de Datos en Pandas Sin pivot_table(): Presented methods for data manipulation in Pandas without using pivot_table, focusing on tree data analysis in Parque General Paz.

Achievements

  • Compiled a comprehensive guide for identifying budget drones.
  • Developed strategies to handle interruptions during CSV downloads.
  • Enhanced understanding of warnings and data manipulation techniques in Pandas.

Pending Tasks

  • Further exploration of drone models for specific use cases.
  • Implementation of solutions for handling CSV download interruptions in active projects.

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