Outstanding Debt Computation and Analysis

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📅 2025-01-03 — Session: Outstanding Debt Computation and Analysis

🕒 18:30–23:10
🏷️ Labels: Debt Management, Data Analysis, Python, Ledger, Finance
📂 Project: Accounting
⭐ Priority: MEDIUM

Session Goal

The session aimed to compute and analyze outstanding debt using ledger data, develop necessary functions, and generate time series for specific dates.

Key Activities

  • Developed Python functions for calculating outstanding debt and future value.
  • Loaded Google Sheets data into a Pandas DataFrame for analysis.
  • Addressed Python float rounding issues and corrected the calculate_future_value function.
  • Analyzed monthly outstanding debt and created time series charts.
  • Fixed data type mismatches in payment processing by converting payment_date to datetime.
  • Inspected DataFrame structure for groupby operations and adjusted accordingly.

Achievements

  • Successfully computed outstanding debt and developed functions for ledger data analysis.
  • Generated time series for the 10th and 25th of each month from January 2022 to December 2025.
  • Corrected errors in payment grouping and ensured data integrity.

Pending Tasks

  • Next session will focus on error correction and ledger reconciliation for the outstanding debt time series.

Graph View

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