Integrated Google Sheets with Python for Data Analysis

• Day: 2024-11-18
• Time: 00:05 to 01:04
• Project: Dev
• Workspace: WP 2: Operational
• Status: Completed
• Priority: MEDIUM
• Assignee: Matías Nehuen Iglesias
• Tags: Google Sheets, Python, Data Analysis, Financial Management, Api Integration

Description

Session Goal

The session aimed to integrate Google Sheets with Python for data analysis and financial management.

Key Activities

• Google Sheets Integration: Set up Python environment to access and manipulate Google Sheets using gspread and google-auth libraries. Implemented authentication and data manipulation code.
• Data Cleaning: Addressed duplicate column names in Google Sheets and fetched raw data for analysis. Utilized Pandas for data processing.
• Financial Data Analysis: Analyzed account balances and aggregated financial data, focusing on credit and debit analysis, and recalculating quarterly totals.
• Troubleshooting: Resolved Google Sheets API connection issues by resetting Jupyter kernel and optimizing code.
• Financial Dynamics: Explored financial dynamics of household and related accounts, including property management and family business.

Achievements

• Successfully connected Python to Google Sheets and performed data retrieval and cleaning.
• Completed initial financial data analysis and aggregation.
• Resolved API connection issues, ensuring smooth data access.

Pending Tasks

• Further refine financial analysis scripts to enhance accuracy and performance.
• Explore alternative methods for data aggregation and visualization.

Evidence

• source_file=2024-11-18.sessions.jsonl, line_number=1, event_count=0, session_id=31a73c8359f3e8d4c8b0ed60a01cc2cda20e260945363fabf7dbb7be3eb59f51
• event_ids: []