Enhanced Data Visualization and Manipulation in Python

• Day: 2023-09-23
• Time: 19:00 to 19:30
• Project: Dev
• Workspace: WP 2: Operational
• Status: Completed
• Priority: MEDIUM
• Assignee: Matías Nehuen Iglesias
• Tags: Python, Data Visualization, Pandas, Matplotlib, Seaborn

Description

Session Goal

The session aimed to enhance data visualization techniques and manipulate data effectively using Python libraries such as Pandas, Matplotlib, and Seaborn.

Key Activities

• Data Manipulation: Inserted and updated DataFrame values, removed NaN entries, and recomputed derived metrics using Pandas.
• Data Visualization: Customized bar plots in Matplotlib and Seaborn, including adjusting bar widths and positions, and rendering bars as hollow for better visual distinction.
• Code Optimization: Modified the monthly payment structure to handle lists of payments and simulated debt payments with inflation adjustments.

Achievements

• Successfully updated DataFrames with new values and recalculated metrics.
• Enhanced bar plot visualizations with customized colors and hollow bars.
• Optimized payment handling code for better financial simulations.

Pending Tasks

• Further exploration of advanced visualization techniques in Seaborn.
• Additional optimization of data manipulation scripts for larger datasets.

Evidence

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• event_ids: []