π 2025-03-08 β Session: Comprehensive Data Analysis and Semantic Exploration
π 00:40β02:30
π·οΈ Labels: Data Analysis, Semantic Analysis, JSON, Web Scraping, Clustering
π Project: Dev
β Priority: MEDIUM
Session Goal
The session aimed to conduct a comprehensive analysis of various datasets and explore semantic trajectories and clustering techniques.
Key Activities
- Compared JSON files from Spider Cloud for data structure and use cases.
- Analyzed FundaciΓ³n Sadoskyβs JSON entries 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.
- Explored semantic trajectories in specialized academic datasets and analyzed indexed URL patterns.
- Evaluated semantic coherence in dendrogram-based clustering.
Achievements
- Gained insights into data structures and use cases for JSON files from Spider Cloud.
- Identified strategic areas and challenges for FundaciΓ³n Sadosky.
- Successfully loaded and manipulated JSON data in Pandas.
- Highlighted high-frequency domains and thematic categories in URL data.
- Identified Gaussian vs. non-Gaussian distributions in similarity analysis.
- Mapped semantic trajectories across diverse academic fields.
Pending Tasks
- Further refine clustering techniques for enhanced semantic coherence.
- Explore additional datasets for broader insights.