Analyze the provided table to determine the primary employment types and the outcome of loan applications for clients based on their age and gender.

Analysis of Loan Client Data

The table contains data on loan clients, including their ID, age, gender, loan amount, monthly payment, and employment type, along with the decision on their loan application (approved/rejected).

Employment Types Observed:

• самозаня (Self-employed)
• офисная р (Office worker)
• предприн (Entrepreneur/Business owner)
• безработн (Unemployed)
• госслужба (Civil servant)

Loan Application Outcomes (Approved/Rejected):

• да (Yes/Approved)
• нет (No/Rejected)

The table can be further analyzed to identify trends, such as which employment types are most common, which age groups are more likely to have their loans approved or rejected, and whether there are any patterns related to gender.

Summary Table Snippet:

Observation: The data provides a snapshot of loan applications, allowing for analysis of client demographics and employment against loan approval rates.