地球资源数据云——数据资源详情
美国按教育程度划分的工资（1973-2022）
该数据集《Wages by Education in the USA (1973 - 2022)》主要用于监督学习任务，数据形态以图像为主。 题目说明：Hourly wages by highest level of education attained and gender 任务类型：图像监督学习。 建议流程：先检查类别分布与脏样本，再用迁移学习（如 ResNet/EfficientNet）建立基线。 评估建议：使用分层切分或交叉验证，优先关注 F1、Recall、AUC 等分类指标。 可用文件：wages_by_education.csv。 The Wages by Education dataset provides insight into the average hourly wages of workers in the USA, disaggregated by the highest level of education attained. This dataset covers the period from 1973 to 2022 and is sourced from the Economic Policy Institute’s State of Working America Data Library. Interesting Insights & Research Areas: 1. Explore the wage gap based on education level and identify trends over time. 2. Analyze the impact of education on wages for different demographic groups (gender, race/ethnicity).
摘要概览
该数据集《Wages by Education in the USA (1973 - 2022)》主要用于监督学习任务，数据形态以图像为主。 题目说明：Hourly wages by highest level of education attained and gender
任务类型：图像监督学习。
建议流程：先检查类别分布与脏样本，再用迁移学习（如 ResNet/EfficientNet）建立基线。
评估建议：使用分层切分或交叉验证，优先关注 F1、Recall、AUC 等分类指标。
可用文件：wages_by_education.csv。
The Wages by Education dataset provides insight into the average hourly wages of workers in the USA, disaggregated by the highest level of education attained.
This dataset covers the period from 1973 to 2022 and is sourced from the Economic Policy Institute’s State of Working America Data Library.
Interesting Insights & Research Areas:
1. Explore the wage gap based on education level and identify trends over time.
2. Analyze the impact of education on wages for different demographic groups (gender, race/ethnicity).