Analyzed JSONL data and proposed Views contract

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Analyzed JSONL data and proposed Views contract

  • Day: 2026-01-09
  • Time: 19:30 to 19:40
  • Project: Dev
  • Workspace: WP 2: Operational
  • Status: In Progress
  • Priority: MEDIUM
  • Assignee: Matías Nehuen Iglesias
  • Tags: JSONL, Pandas, Data Analysis, Views System, Data Integrity

Description

Session Goal

The aim of this session was to analyze JSON lines data using Python and Pandas, and to evaluate the current Views system for potential improvements in data handling and reporting.

Key Activities

  • Loaded and parsed JSONL files to extract specific data fields using Python and Pandas.
  • Created DataFrames from JSON records, performing analysis such as value counts and filtering for specific entries.
  • Filtered and sorted DataFrames to focus on particular stages and file paths, extracting unique names and counts.
  • Conducted a query analysis related to data processing and normalization tasks.
  • Provided a detailed reflection on the Views system, identifying data handling issues and proposing a new contract to ensure data integrity and clarity in financial reporting.

Achievements

  • Successfully extracted and analyzed data from JSONL files, gaining insights into the structure and content of the data.
  • Identified key issues in the Views system and proposed a new contract to improve data integrity and reporting clarity.

Pending Tasks

  • Further exploration of data normalization techniques and their application to the current data pipeline.
  • Implementation of the proposed contract changes in the Views system to enhance data handling and reporting.

Evidence

  • source_file=2026-01-09.sessions.jsonl, line_number=3, event_count=0, session_id=3f47196357bec5f44c113819629ecf6eab54b6c8807c640e444df0f38ec75894
  • event_ids: []

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