📅 2024-01-07 — Session: Implemented Financial Data Visualizations and Corrections

🕒 03:05–03:40
🏷️ Labels: Financial Analysis, Data Visualization, Python, Matplotlib, Dataframe
📂 Project: Business
⭐ Priority: MEDIUM

Session Goal

The session aimed to enhance financial data analysis by implementing detailed visualizations and correcting data manipulation errors.

Key Activities

  • Conducted a detailed weekly cash flow analysis to identify trends, budget, detect anomalies, and assess currency exposure, using Python and Matplotlib for visualization.
  • Developed bar charts for visualizing net flows from DataFrames with multi-level columns.
  • Created line charts to track weekly financial flows, contrasting them with candlestick charts.
  • Implemented data validation in financial chart plotting to avoid errors with non-existent account and currency combinations.
  • Corrected DataFrame manipulation issues related to currency balances and array multiplication errors.
  • Compiled a summary table of currency holdings across ARS, EUR, and USD.

Achievements

  • Successfully visualized financial data using bar and line charts.
  • Enhanced data accuracy by correcting DataFrame manipulation and array multiplication errors.
  • Improved data validation processes in financial chart plotting.

Pending Tasks

  • Further refine the visualization techniques for better clarity and insight.
  • Explore additional data validation methods to prevent future errors.