📅 2024-11-18 — Session: Google Sheets Integration and Financial Data Analysis

🕒 00:05–02:15
🏷️ Labels: Google Sheets, Python, Data Analysis, Financial Management, Api Integration
📂 Project: Dev
⭐ Priority: MEDIUM

Session Goal

The primary goal of this session was to integrate Google Sheets with Python for data management and to analyze financial data using various techniques.

Key Activities

  • Google Sheets Integration:
    • Connected to Google Sheets using Python, leveraging libraries such as gspread and google-auth.
    • Addressed issues with duplicate column names in Google Sheets and implemented data cleaning techniques using Pandas.
    • Troubleshot API connection issues to ensure smooth data retrieval and manipulation.
  • Financial Data Analysis:
    • Analyzed account balances and aggregation techniques for financial data.
    • Reprocessed and recalculated DataFrames for credit and debit analysis, ensuring proper setup for quarterly totals.
    • Evaluated financial dynamics of household and related accounts, focusing on ledger management and accounting principles.

Achievements

  • Successfully connected and manipulated Google Sheets data using Python.
  • Resolved data cleaning issues and ensured accurate data retrieval.
  • Established a clear methodology for analyzing financial data and managing property management fund transactions.

Pending Tasks

  • Further exploration of alternative data analysis approaches for quarterly totals.
  • Continuous monitoring and optimization of Google Sheets API performance.