Data Analysis and Manipulation with Python

• Day: 2026-01-09
• Time: 15:55 to 16:05
• Project: Dev
• Workspace: WP 2: Operational
• Status: Completed
• Priority: MEDIUM
• Assignee: Matías Nehuen Iglesias
• Tags: Python, Dataframe, Data Analysis, File I/O, Pandas

Description

Session Goal

The session aimed to perform various data manipulation and analysis tasks using Python, particularly focusing on file I/O operations, data loading, and DataFrame manipulations.

Key Activities

• Reading Text File: Implemented a method to read a text file using UTF-8 encoding, providing the number of lines and a preview of the content.
• Loading JSON Data: Demonstrated loading JSON data into a Pandas DataFrame and displaying its structure.
• Counting Combinations: Grouped DataFrame by ‘stage’ and ‘role’, counting occurrences to generate insights.
• Run ID Analysis: Analyzed common run IDs and filtered DataFrame based on specific attributes.
• Data Structure Summary: Developed a function to summarize data structures, providing insights into the number of columns and field names.

Achievements

• Successfully read and processed text files and JSON data.
• Gained insights into data by grouping and counting combinations in DataFrames.
• Implemented filtering techniques to refine data analysis.

Pending Tasks

• Further exploration of advanced data manipulation techniques and optimization strategies for large datasets.

Evidence

• source_file=2026-01-09.sessions.jsonl, line_number=20, event_count=0, session_id=4097e264347c863aaa976601e92a6fa032292995f697b95b90e759564df872dd
• event_ids: []