📅 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.