Conducted comprehensive data scraping and analysis

• Day: 2025-03-08
• Time: 00:40 to 02:30
• Project: Dev
• Workspace: WP 2: Operational
• Status: Completed
• Priority: MEDIUM
• Assignee: Matías Nehuen Iglesias
• Tags: Data Analysis, JSON, Web Scraping, Semantic Analysis, Pandas

Description

Session Goal: The session aimed to conduct a comprehensive analysis of various JSON files and datasets related to web scraping and data analysis, with a focus on understanding data structures, loading processes, and semantic analysis.

Key Activities:

• Compared JSON scraping files from Spider Cloud, analyzing data structures and use cases.
• Explored legal aspects of recovering a stolen motorcycle and negotiation with insurers.
• Analyzed Fundación Sadosky’s JSON entry and web content for strategic insights.
• Loaded JSON files into Pandas DataFrames and performed initial data manipulation.
• Conducted exploratory data analysis on URL frequency and analyzed similarity distributions in web vs. personal notes.
• Evaluated semantic trajectory of an academic dataset and analyzed indexed URL patterns.
• Assessed dendrogram-based clustering techniques for semantic coherence.

Achievements:

• Gained insights into data structures and differences in JSON files.
• Developed a generalized process for loading JSON files into DataFrames.
• Identified high-frequency domains and thematic categories in URL data.
• Highlighted semantic interconnections in academic datasets.

Pending Tasks:

• Further refine clustering techniques to improve semantic coherence of URL data.
• Explore potential negotiation strategies for motorcycle recovery with insurers.

Evidence

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• event_ids: []