Cleaning Up Debt: A Python pandas Approach
This is a cross post done by tryb Product Development intern, Finn Qiao. Finn is a graduate student at McCormick School of Engineering – Northwestern University where he is using Python and pandas in data science and analytics.
Data Wrangling and Exploratory Data Analysis of Non-Performing Loan (NPL) Data
A recent analysis of the Southeast Asian credit markets at work brought to light some nuances regarding credit culture in this particular region. The data got me thinking about global credit health and non-performing loan rates globally. Given my recent foray into data analysis, I thought a notebook was in order.