社会和政策研究的数据可视化：使用R和Python的逐步方法

所有社会和政策研究人员都需要将数据合成一种视觉表现。产生良好的视觉效果结合了创造力和技巧。这本书教的技术和基础，以产生各种可视化，让读者交流数据和分析，在一个创造性和有效的方式。对表格、时间序列、地图、文本和网络的视觉效果进行了仔细的解释和组织，展示了如何为分析和显示的数据类型选择正确的绘图。例子来自公共政策、公共安全、教育、政治推文和公共卫生。本演示从基础开始，以编程语言R和Python一步一步地进行，以便读者学习编码技能，同时熟悉每种可视化的优缺点。不需要事先了解Python或R。所有可视化的代码都可以在书的网站上找到。
Data Visualization for Social and Policy Research: A Step-by-Step Approach Using R and Python
All social and policy researchers need to synthesize data into a visual representation. Producing good visualizations combines creativity and technique. This book teaches the techniques and basics to produce a variety of visualizations, allowing readers to communicate data and analyses in a creative and effective way. Visuals for tables, time series, maps, text, and networks are carefully explained and organized, showing how to choose the right plot for the type of data being analysed and displayed. Examples are drawn from public policy, public safety, education, political tweets, and public health. The presentation proceeds step by step, starting from the basics, in the programming languages R and Python so that readers learn the coding skills while simultaneously becoming familiar with the advantages and disadvantages of each visualization. No prior knowledge of either Python or R is required. Code for all the visualizations are available from the book’s website.

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