DataCredit_With_External_Factors

1. Columns: Each column is described with its name, data type, and meaning. Familiarize yourself with these details to understand what each field represents.

2. Data Types: Columns are classified as integer, decimal, bit, or string. This tells you how to handle the data:

Integer: Whole numbers.
Decimal: Numbers with decimal points, often for financial values.
Bit: Binary values (0 or 1).
String: Text fields, like income source codes.

3. Data Origins: Columns may contain extracted, calculated, or time series data, indicating whether they are raw values, derived metrics, or changing over time.

4. Delinquency Data: Fields like DiasVencido and Class track overdue payments. Binary classifications help flag cases where payment delays exceed certain thresholds (e.g., 30 or 29 days).

5. External Factors: Includes variables related to external events like COVID 19, climate change and social unrest, useful for analyzing their impact on delinquency.

6. Normalized Data: Some fields, such as SalarioNormalizado, are adjusted relative to other values, so they may not reflect the original scale.

7. Time Series Data: Delinquency information is available for multiple months. Ensure consistency when analyzing trends over time.