Automated Data Processing and Scripting Enhancements

📅 2023-10-14 — Session: Automated Data Processing and Scripting Enhancements

🕒 00:40–03:00
🏷️ Labels: Python, Data Processing, Automation, Jupyter, Descriptive Statistics
📂 Project: Dev
⭐ Priority: MEDIUM

Session Goal

The session aimed to enhance and automate data processing workflows using Python scripting, focusing on file management, data generation, and statistical analysis.

Key Activities

• Developed a workflow to check file existence and execute a sampling script if files are missing.
• Integrated a command to execute the samplear.py script, including logging for data processing.
• Refactored code to generate quarterly dates and loop through years, utilizing the subprocess module for external script execution.
• Ensured restoration of the original working directory post script execution.
• Provided an overview of code structure for data processing in Jupyter Notebooks, covering configuration and auxiliary data loading.
• Outlined a framework for descriptive statistics Jupyter notebooks, detailing data exploration and synthesis.
• Implemented a new convention for yearly and quarterly data processing using Python.

Achievements

• Successfully automated the execution of data processing scripts with integrated logging and file management.
• Refactored and organized code for better maintainability and scalability.
• Established a structured approach for descriptive statistics analysis in Jupyter Notebooks.

Pending Tasks

• Further testing of the automated workflows to ensure robustness across different datasets.
• Expansion of the descriptive statistics framework to include more complex analyses.