📅 2025-03-08 — Session: Conducted comprehensive data scraping and analysis
🕒 00:40–02:30
🏷️ Labels: Data Analysis, JSON, Web Scraping, Semantic Analysis, Pandas
📂 Project: Dev
⭐ Priority: MEDIUM
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.