π 2025-06-08 β Session: Developed Financial Data Visualization Scripts
π 18:25β18:50
π·οΈ Labels: Python, Data Visualization, Financial Analysis, Matplotlib, Bar Plots
π Project: Dev
β Priority: MEDIUM
Session Goal
The objective of this session was to develop and refine Python scripts for visualizing financial data using various types of bar plots.
Key Activities
- Implemented a Python script to generate a monthly bar plot with cumulative sums for the βCredit PM_Cobrosβ variable.
- Created a stacked bar plot with cumulative sum lines for two financial indicators, enhancing the clarity of financial analysis.
- Developed a monthly bar plot for the βCredit PM_Contribucionβ dataset to visualize financial contributions over time.
- Designed a bar plot for βDebit PM_Cambioβ data, including annotations and cumulative sum lines for better financial insights.
- Constructed a stacked bar plot to visualize monthly outflows, with suggestions for customization.
- Improved color distinction in stacked bar plots for better category differentiation in governance reporting.
- Outlined a workflow for analyzing monthly net flux in financial data, including data loading, processing, and plotting.
Achievements
- Successfully created multiple Python scripts for different financial data visualization needs, improving the ability to analyze and report on financial data.
Pending Tasks
- Further customization of visualization scripts to meet specific reporting requirements.
- Integration of these scripts into a larger financial analysis toolkit.