revisit：数据科学的工作流工具
revisit: a Workflow Tool for Data Science
摘要：
近年来，科学界普遍关注可重复性危机。已查明的主要原因之一是统计方面的：在许多科学研究中，统计分析（包括数据编制）缺乏透明度和方法问题，这是重复性的主要障碍。重访包旨在通过生成应用于数据集的统计操作的“软件文件踪迹”来解决这个问题。该记录可以“重放”以用于验证目的，也可以修改以启用替代分析。该软件还对统计方法学中的某些潜在错误发出警告，这也与再现性问题有关。
英文摘要：
In recent years there has been widespread concern in the scientific community over a reproducibility crisis. Among the major causes that have been identified is statistical: In many scientific research the statistical analysis (including data preparation) suffers from a lack of transparency and methodological problems, major obstructions to reproducibility. The revisit package aims toward remedying this problem, by generating a "software paper trail" of the statistical operations applied to a dataset. This record can be "replayed" for verification purposes, as well as be modified to enable alternative analyses. The software also issues warnings of certain kinds of potential errors in statistical methodology, again related to the reproducibility issue.
机构、总结、中文摘要均由AI分析而来，可能存在错误，请以论文正文为准。
