超级会员免费看
本文介绍了数据可视化的重要性和基本概念，包括数据变量类型、颜色理论和设计原则。文章重点探讨了Tableau、D3.js和Matplotlib这三个流行的数据可视化工具，通过实例展示了如何使用它们创建吸引人的数据可视化作品，并讨论了这些工具如何提升决策过程和品牌意识。
作者：禅与计算机程序设计艺术
1.简介
Data visualization refers to the presentation of complex data in a graphical format that can be easily understood by both humans and machines. It helps businesses and researchers gain valuable insights from their large and complex datasets through statistical analysis, patterns, correlations, and outliers. In this article we will explore four popular open-source data visualization tools - Tableau, D3.js, Matplotlib, and ggplot2 - along with examples on how they can be used effectively to create engaging and informative data visualizations. We'll also discuss some key concepts like color theory, scales, and design principles, as well as explore how these tools can help improve decision-making processes, lead to b
订阅专栏 解锁全文
扫一扫
被折叠的 条评论
为什么被折叠?
到【灌水乐园】发言
