图分析与可视化：在链接数据中发现业务机会

English | 2015 | ISBN: 1118845846 | Pages: 544 | EPUB | 14.16 MB

Wring more out of the data with a scientific approach to analysis

Graph Analysis and Visualization brings graph theory out of the lab and into the real world. Using sophisticated methods and tools that span analysis functions, this guide shows you how to exploit graph and network analytic techniques to enable the discovery of new business insights and opportunities. Published in full color, the book describes the process of creating powerful visualizations using a rich and engaging set of examples from sports, finance, marketing, security, social media, and more. You will find practical guidance toward pattern identification and using various data sources, including Big Data, plus clear instruction on the use of software and programming. The companion website offers data sets, full code examples in Python, and links to all the tools covered in the book.

Science has already reaped the benefit of network and graph theory, which has powered breakthroughs in physics, economics, genetics, and more. This book brings those proven techniques into the world of business, finance, strategy, and design, helping extract more information from data and better communicate the results to decision-makers.

Study graphical examples of networks using clear and insightful visualizations

Analyze specifically-curated, easy-to-use data sets from various industries

Learn the software tools and programming languages that extract insights from data

Code examples using the popular Python programming language

There is a tremendous body of scientific work on network and graph theory, but very little of it directly applies to analyst functions outside of the core sciences – until now. Written for those seeking empirically based, systematic analysis methods and powerful tools that apply outside the lab, Graph Analysis and Visualization is a thorough, authoritative resource.

用科学的方法进行数据分析，发掘更多数据价值

图分析与可视化

将图理论从实验室带入现实世界。利用涵盖分析功能的高级方法和工具，本书展示了如何通过强大的图网络分析技术，发现新的业务洞察力和机会。全彩出版的书籍通过来自体育、金融、营销、安全、社交媒体等多个领域的丰富且引人入胜的例子来描述使用强大可视化的过程。

您将找到关于模式识别及利用各种数据源（包括大数据）的具体指导，并学习软件与编程工具的应用知识。随书网站提供了数据集，完整的Python代码示例以及书中涵盖的所有工具的链接。

科学界已经从网络和图理论中获益匪浅，这些理论已推动了物理学、经济学、遗传学等领域突破性的进展。这本书将这些经过验证的技术引入商业、金融、战略及设计领域，帮助从中提取更多信息并更好地向决策者传达结果。

用清晰且富有洞察力的可视化来研究网络图形案例

利用特定定制化和易于使用的各种行业的数据集进行具体分析

学习用于从数据中抽取见解的软件工具与编程语言

使用Python编程语言编写示例代码

网络和图论领域已有大量的科学工作，但其中很少直接适用于除核心科学外的分析师职能——直到现在。为那些寻求基于经验、系统化的分析方法及适用于实验室之外的强大工具，《图分析与可视化》是一本全面且权威性的资源。

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