Credit Car Prediction Dataset

This dataset contains information about individuals' demographics, financial status, and employment details. It aims to provide insights into various factors that may influence individuals' financial well-being and employment status.

Negative values may represent a baseline or reference point from which the actual values are measured. For example, if the age is recorded as -30, it might indicate that the age is 30 years younger than a certain reference point. i.e. Age of the applicant's account in years. Counted backwards from the current day.

Employment Lenght: How long the customer has been employed (days), counted backwards
from the current day. Positive numbers indicate unemployment.

Important Notes:

The dataset may contain missing values, which should be handled appropriately during analysis.
Some categorical features are associated with labels, and their respective counts are provided.
Prior to analysis, it's recommended to perform data preprocessing and exploratory data analysis (EDA) to better understand the characteristics of the data.