论文标题
极简主义数据与Python争吵
Minimalist Data Wrangling with Python
论文作者
论文摘要
与Python争吵的极简主义数据被设想为学生对数据科学的首次介绍，提供了高级概述，并详细讨论了关键概念。我们探讨了清洁从不同来源收集的数据，转换，选择和提取功能，进行探索性数据分析和降低维度降低，识别自然存在的数据群集，在数据中建模模式，比较组之间的数据以及报告结果的方法。这本教科书是一个非营利项目。它的在线和PDF版本可在https://datawranglingpy.gagolewski.com/上免费获得。
Minimalist Data Wrangling with Python is envisaged as a student's first introduction to data science, providing a high-level overview as well as discussing key concepts in detail. We explore methods for cleaning data gathered from different sources, transforming, selecting, and extracting features, performing exploratory data analysis and dimensionality reduction, identifying naturally occurring data clusters, modelling patterns in data, comparing data between groups, and reporting the results. This textbook is a non-profit project. Its online and PDF versions are freely available at https://datawranglingpy.gagolewski.com/.
