一站式网上办事大厅

import pandas as pd

# 假设我们有一个CSV文件，包含员工的数据

data = pd.read_csv('employee_data.csv')

# 显示前几行数据

print(data.head())

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def calculate_score(row):

experience = row['Years of Experience']

skills = row['Skill Score']

projects = row['Number of Projects']

return (experience * 0.5) + (skills * 0.3) + (projects * 0.2)

# 计算每个员工的得分

data['Score'] = data.apply(calculate_score, axis=1)

# 按照得分降序排列

ranked_data = data.sort_values(by='Score', ascending=False)

print(ranked_data[['Employee Name', 'Score']])

研究生信息管理系统

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SELECT Employee_Name,

(Years_of_Experience * 0.5 + Skill_Score * 0.3 + Number_of_Projects * 0.2) AS Total_Score

FROM Employees

ORDER BY Total_Score DESC;

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