๐ 2024-09-03 โ Session: Comprehensive Legal and Data Analysis Session
๐ 15:10โ18:35
๐ท๏ธ Labels: Legal, Data Analysis, Investment, Python, Linear Algebra
๐ Project: Business
โญ Priority: MEDIUM
Session Goal
The session aimed to explore various legal frameworks, real estate procedures, and data analysis methodologies, focusing on practical applications and technical execution.
Key Activities
- Legal Framework Exploration: Reviewed the legal framework for usucapiรณn in Argentina, including relevant articles from the Civil and Commercial Code and strategies for implementation.
- Real Estate Procedures: Outlined steps to obtain information about a parcel in CABA, detailing interactions with the Property Registry, AGIP, and the General Directorate of Cadastre and Cartography.
- Investment Analysis: Conducted a segmentation analysis of investments, categorizing items by cost and identifying potential investment opportunities.
- Data Manipulation and Analysis: Executed Python code for dynamic data table creation, price analysis, and DataFrame extraction, focusing on data integrity and pricing strategies.
- Mathematical Problem Solving: Solved linear transformation problems, including matrix representation and change of basis in vector spaces.
Achievements
- Clarified the legal process for usucapiรณn and real estate information retrieval in Argentina.
- Developed a structured investment analysis framework.
- Successfully implemented data manipulation techniques in Python for product attribute analysis.
- Resolved linear algebra problems related to transformations and matrix representations.
Pending Tasks
- Further exploration of advanced investment strategies based on the segmentation analysis.
- Additional refinement of Python scripts for more efficient data processing and analysis.
- Continued study of linear algebra concepts to enhance problem-solving skills.