Data Cleaning and Transformation for Relationship Analysis

Translation:

Upon inspecting the data, it was found that numerical conversions need to be made for the date variables, invalid values need to be removed for some factor variables, and useless variables need to be eliminated.

To facilitate the calculation of relationships between different variables, further conversions were made for 'creditbureauriskassessment' and 'typeofemployement'.

The data was checked for missing values and the distribution of missing values was visualized. After removing the missing values, a correlation heatmap was created.