📅 2024-11-18 — Session: Integrated Google Sheets with Python for Data Analysis
🕒 00:05–01:04
🏷️ Labels: Google Sheets, Python, Data Analysis, Financial Management, Api Integration
📂 Project: Dev
⭐ Priority: MEDIUM
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
gspreadandgoogle-authlibraries. 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.