Project Summary

• Objective: Conduct a comprehensive analysis of debt collection practices within the Massachusetts court system using data provided by WGBH.

• Scope: Evaluate trends in debt collection cases filed over the past decade, analyze organizational involvement, and explore the distribution of debt collectors across different states and countries.

• Focus: Identify major debt collection entities, understand case outcomes, and highlight the impact of legal measures like wage garnishments and Capias warrants.

• Methodology: Perform data cleaning, preprocessing, and exploratory data analysis (EDA) to derive insights and trends using visualizations and statistical summaries.

• Output: Provide actionable insights and quantitative measures to understand the debt collection landscape, company dominance, and socio-economic implications of legal debt collection practices.

• Tools & Libraries: Python, Pandas, Matplotlib, Seaborn for data analysis and visualization.

• Techniques:

  • Data cleaning and preprocessing to handle missing values and standardize formats.
  • Exploratory Data Analysis (EDA) using statistical summaries and visualizations to identify trends and patterns.
  • Visualization techniques such as bar charts, line graphs, and scatter plots to represent key findings.