作者简介:
Cole Nussbaumer Knaflic
数据分析专家,前Google人力分析团队经理,曾任银行和私募基金分析师,曾在马里兰艺术学院教授信息可视化课程。目前专门研究定量信息的有效展示,并撰写热门博客storytellingwithdata.com。她的数据分析研讨会和演示深受世界各地受众追捧。
译者简介:
陆昊
程序员,现于百度云从事数字营销解决方案的研发,在计算广告和大数据领域浸淫多年。与第二译者互为连理。
吴梦颖
多年广告人,浅涉创投圈,现任数字营销公司伙传播战略发展总监。敏感于数据,动心于设计,善于探索和总结。
Don't simply show your data—tell a story with it!
Storytelling with Data teaches you the fundamentals of data visualization and how to communicate effectively with data. You'll discover the power of storytelling and the way to make data a pivotal point in your story. The lessons in this illuminative text are grounded in theory, but made accessible through numerous real-world examples—ready for immediate application to your next graph or presentation.
Storytelling is not an inherent skill, especially when it comes to data visualization, and the tools at our disposal don't make it any easier. This book demonstrates how to go beyond conventional tools to reach the root of your data, and how to use your data to create an engaging, informative, compelling story. Specifically, you'll learn how to:
Understand the importance of context and audience
Determine the appropriate type of graph for your situation
Recognize and eliminate the clutter clouding your information
Direct your audience's attention to the most important parts of your data
Think like a designer and utilize concepts of design in data visualization
Leverage the power of storytelling to help your message resonate with your audience
Together, the lessons in this book will help you turn your data into high impact visual stories that stick with your audience. Rid your world of ineffective graphs, one exploding 3D pie chart at a time. There is a story in your data—Storytelling with Data will give you the skills and power to tell it!
2018 第14本 是本灰常灰常不错的书 一,干货多 二,薄 是谷歌做数据的大牛写的书,介绍了用数据讲故事的方法 其中图表的制作,一些简单的规则, 你去看看现在大数据网站几乎是条条不建议的都能找到,也是飞起~ 以后会买一本当做工具书,很多东西都是需要实践~ 前5章是理论基础...
评分这本书是google前人力分析团队总监柯尔的总结,教我们如何将数据资料转化为清晰易懂的图表。读后醍醐灌顶的感觉。 要点如下: 1. 从出示资料到达到诉求 2.从出示资料到展示成果 3.从出示资料到影响决策 首先要明确一个图表的目的,一般不要超过3个目的:展示成果,了解变化,...
评分 评分Highly recommend for a quick read.
评分学界的人也应该好好学习一下
评分好书 就算是没有很深数据分析技巧的人也特别适合看
评分学界的人也应该好好学习一下
评分好书。总结一下就是可视化不是终点,要解读完的结论可视化再给观众。不要做事做一半(没人能看懂你的分析,也没人能看懂可视化,人们需要的不是数据和分析的可视化,而是结论的可视化)。。推荐一个书里的网站给大家http://viz.wtf/
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