Uses following libs : pandas == 1.1.3 numpy == 1.20.2 plotly.express == 0.4.1
Objectives: Analyze given lending data and perform exploratory data analysis to determine likelihood of default. This included activities like cleanring the data , bringing in shape by handling missing data , removing unnecessary data,correcting data types, handling prefixes, suffixes. Further correlations, univariate, bivariate were studied along with segmentation analysis. Added derived columns created. And everything plotted as needed.