📅 2024-01-07 — Session: Enhanced Financial Data Visualization and Correction
🕒 03:00–03:40
🏷️ Labels: Financial Analysis, Data Visualization, Python, Matplotlib, Currency Balances
📂 Project: Business
⭐ Priority: MEDIUM
Session Goal
The session aimed to enhance financial data visualization techniques and correct existing data manipulation errors related to currency balances.
Key Activities
- Conducted a detailed weekly cash flow analysis to identify trends and assess currency exposure, utilizing Python and Matplotlib for data visualization.
- Developed solutions for handling multi-level columns in DataFrames to create green/red bar charts for weekly net flows.
- Implemented line charts for visualizing weekly financial flows, providing a contrast to candlestick charts.
- Utilized
matplotlibandmplfinancefor plotting financial charts, ensuring data validation to prevent errors. - Identified and committed to correcting issues in DataFrame manipulation for accurate currency balance calculations.
- Addressed a code error related to array multiplication, ensuring accurate output for total holdings by currency.
Achievements
- Successfully visualized financial data using various chart types, improving the clarity and accuracy of financial insights.
- Identified and planned corrections for critical data manipulation and code errors, enhancing the reliability of financial analyses.
Pending Tasks
- Implement the planned corrections for DataFrame manipulation and array multiplication errors to ensure accurate financial reporting.