A Civil Service List consists of all candidates who passed an exam, ranked in score order. An established list is considered active for no less than one year and no more than four years from the date of establishment.

This dataset is critical for data science applications because it provides a structured way to analyze workforce planning, recruitment efficacy, and the demographic distribution of candidates succeeding in civil service exams. By understanding patterns and trends within this data, municipal departments can enhance their recruitment strategies, ensure fair and effective hiring practices, and plan for future workforce needs based on the success rates of candidates in different job categories.

Possible analyses with this dataset include:

• Performance Analysis: Examine the average scores across different exams to identify which exams have higher or lower pass rates. This can help in adjusting the difficulty levels of the exams or providing additional preparation resources to candidates.
• Demographic Analysis: Analyze the diversity of candidates passing the exams by correlating last names with demographic data to ensure all communities have equitable access and success in civil service opportunities.
• Trend Analysis: Study trends over time in the number of candidates taking exams and their success rates to predict future hiring needs and adjust recruitment strategies accordingly.
• Impact of Credits: Investigate how different credits (veteran, residency, etc.) impact the final scores and list standings of candidates to assess the fairness and effectiveness of these credit systems.