Developed scripts for data processing and file management

• Day: 2023-01-05
• Time: 22:30 to 23:15
• Project: Dev
• Workspace: WP 2: Operational
• Status: Completed
• Priority: MEDIUM
• Assignee: Matías Nehuen Iglesias
• Tags: Python, Data Processing, File Management, Automation, Geojson, CSV

Description

Session Goal

The session aimed to enhance data processing capabilities by developing scripts for file management and data conversion tasks using Python.

Key Activities

• Implemented a Python script to create directories and save DataFrames as CSV files using the os module.
• Processed GeoJSON files to extract and merge household data, outputting consolidated data into new CSV files.
• Provided suggestions for improving code efficiency in data manipulation using pandas.
• Developed a script to convert DAT files to CSV format, utilizing DCT files for parsing.
• Created a script to process HR data files, validating geographic codes and saving cleaned data as CSV files.
• Processed GeoJSON files for cluster data, merging relevant information from CSV files based on geographic identifiers.
• Listed Jupyter Notebook files in the current directory using the glob module.

Achievements

• Successfully developed multiple scripts for data processing and file management tasks.
• Enhanced understanding of file handling and data conversion techniques in Python.

Pending Tasks

• Review and implement code efficiency suggestions for further optimization.
• Conduct testing and validation of scripts in a production environment.

Evidence

• source_file=2023-01-05.sessions.jsonl, line_number=4, event_count=0, session_id=9c78ce62c9c5c6809d70a4556b77712f43797eb4930b52e631c7e6ff74f30aad
• event_ids: []