College Education

This dataset is accessed from https://www.kaggle.com/jessemostipak/college-tuition-diversity-and-pay and was downloaded on August 4, 2021. <br><br> The following excerpt is from Kaggle regarding the sources of this dataset: The data this week comes from many different sources but originally came from the US Department of Education. Tuition and fees by college/university for 2018-2019, along with school type, degree length, state, in-state vs out-of-state from the Chronicle of Higher Education. Diversity by college/university for 2014, along with school type, degree length, state, in-state vs out-of-state from the Chronicle of Higher Education. Example diversity graphics from Priceonomics. Average net cost by income bracket from TuitionTracker.org. Example price trend and graduation rates from TuitionTracker.org Salary potential data comes from payscale.com. This dataset included the following files: 1. diversity_school.csv 2. historical_tuition.csv 3. salary_potential.csv 4. tuition_cost.csv 5. tuition_income.csv After data cleaning, the data in <i>diversity_school.csv</i> and <i>tuition_cost.csv</i> were merged and the data in <i>salary_potential.csv</i> and <i>tuition_income.csv</i> were merged. The combined datasets were then split based on the US Census Regions into West, Midwest, Northeast and South (https://www2.census.gov/geo/pdfs/maps-data/maps/reference/us_regdiv.pdf).

本数据集获取自https://www.kaggle.com/jessemostipak/college-tuition-diversity-and-pay，于2021年8月4日下载。<br><br>以下内容摘自Kaggle关于本数据集的来源说明：本次数据集的原始数据源自多类渠道，其核心数据最初来自美国教育部。2018-2019学年各高等院校的学费与杂费、院校类型、学制、所在州以及本州/外州学费数据，来自《高等教育纪事报（Chronicle of Higher Education）》。2014年各高校的多元化程度数据，以及院校类型、学制、所在州、本州/外州学费相关数据，同样源自《高等教育纪事报（Chronicle of Higher Education）》。多元化程度相关示例图表来自Priceonomics。按收入层级划分的平均净成本数据来自TuitionTracker.org。学费趋势与毕业率相关示例数据来自TuitionTracker.org。薪资潜力数据来自payscale.com。本数据集包含以下文件：1. diversity_school.csv 2. historical_tuition.csv 3. salary_potential.csv 4. tuition_cost.csv 5. tuition_income.csv。完成数据清洗工作后，研究人员将<i>diversity_school.csv</i>与<i>tuition_cost.csv</i>中的数据进行合并，同时将<i>salary_potential.csv</i>与<i>tuition_income.csv</i>中的数据进行合并。随后，基于美国人口普查区域（US Census Regions）划分规则，将合并后的数据集拆分为西部（West）、中西部（Midwest）、东北部（Northeast）与南部（South）四个分区，具体分区规则详见https://www2.census.gov/geo/pdfs/maps-data/maps/reference/us_regdiv.pdf。