Visualize This 在线电子书 pdf 下载 txt下载 epub 下载 mobi 下载 2025


Visualize This

简体网页||繁体网页
Nathan Yau 作者
John Wiley & Sons
译者
2011-7-20 出版日期
384 页数
GBP 26.99 价格
Paperback
丛书系列
9780470944882 图书编码

Visualize This 在线电子书 图书标签: visualization  数据可视化  数据图形化  infographic  设计  数据分析  Data  可视化图形   


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发表于2025-02-04


Visualize This 在线电子书 epub 下载 mobi 下载 pdf 下载 txt 下载 2025

Visualize This 在线电子书 epub 下载 mobi 下载 pdf 下载 txt 下载 2025

Visualize This 在线电子书 pdf 下载 txt下载 epub 下载 mobi 下载 2025



Visualize This 在线电子书 用户评价

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这书可能适合完全没有做过viz的人来看看代码大概长什么样子。对于略有基础的人来说实在是过于浅层,说是demo却并没有demo到针对不同的数据/不同的目的应该怎么选择viz的点子上。书中略提了一点design principle,也没有什么令人印象深刻的地方。我翻完全书,唯一记住的一点是,原来专业的infographics最后是用Illustrator加工过一遍的,怪不得比大伙平常用Python/R干画出来的好看多了。。。

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技术类的,初见就很喜欢。

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太基本了,不建议买,浪费钱。没有基础的可以看。有经验的可以跳过

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入门级菜谱,例子很多,有具体代码(虽然代码的错误不少),难度不高,适合对数据可视化有兴趣,想自己动手试试的。 另外:书中一些资源链接已经过期,必要时候需要自己搜索,感觉这种时效性强的不适合写成书的形式,还是推荐作者的blog:http://flowingdata.com/

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这书可能适合完全没有做过viz的人来看看代码大概长什么样子。对于略有基础的人来说实在是过于浅层,说是demo却并没有demo到针对不同的数据/不同的目的应该怎么选择viz的点子上。书中略提了一点design principle,也没有什么令人印象深刻的地方。我翻完全书,唯一记住的一点是,原来专业的infographics最后是用Illustrator加工过一遍的,怪不得比大伙平常用Python/R干画出来的好看多了。。。

Visualize This 在线电子书 著者简介

Nathan Yau 加州大学洛杉矶分校统计学专业在读博士、超级数据迷,专注于数据可视化与个人数据收集。他曾在《纽约时报》、CNN、Mozilla和SyFy工作过,认为数据和信息图不仅适用于分析,用来讲述与数据有关的故事也非常合适。Yau的目标是让非专业人士读懂并用好数据。他创建了一个设计、可视化和统计方面的博http://flowingdata.com,你可以从中欣赏到他最新的数据可视化实验作品。

向怡宁 交互和视觉设计师、摇滚乐手,同时还热衷于翻译和写作。著有《Flash组件、游戏、SWF加解密》及《就这么简单:Web开发中的可用性和用户体验》,译有《奇思妙想:15位计算机天才及其重大发现》、《瞬间之美:Web界面设计如何让用户心动》、《网站设计解构:有效的交互设计框架和模式》、《网站搜索设计:兼顾SEO及可用性的网站设计心得》等书。他认为“一个不会弹吉他的设计师不是个好译者”。


Visualize This 在线电子书 图书目录


Visualize This 在线电子书 pdf 下载 txt下载 epub 下载 mobi 在线电子书下载

Visualize This 在线电子书 图书描述

Practical data design tips from a data visualization expert of the modern age Data doesn?t decrease; it is ever-increasing and can be overwhelming to organize in a way that makes sense to its intended audience. Wouldn?t it be wonderful if we could actually visualize data in such a way that we could maximize its potential and tell a story in a clear, concise manner? Thanks to the creative genius of Nathan Yau, we can. With this full-color book, data visualization guru and author Nathan Yau uses step-by-step tutorials to show you how to visualize and tell stories with data. He explains how to gather, parse, and format data and then design high quality graphics that help you explore and present patterns, outliers, and relationships. Presents a unique approach to visualizing and telling stories with data, from a data visualization expert and the creator of flowingdata.com, Nathan Yau Offers step-by-step tutorials and practical design tips for creating statistical graphics, geographical maps, and information design to find meaning in the numbers Details tools that can be used to visualize data-native graphics for the Web, such as ActionScript, Flash libraries, PHP, and JavaScript and tools to design graphics for print, such as R and Illustrator Contains numerous examples and descriptions of patterns and outliers and explains how to show them Visualize This demonstrates how to explain data visually so that you can present your information in a way that is easy to understand and appealing.

From the Author: Telling Stories with Data

Author Nathan Yau A common mistake in data design is to approach a project with a visual layout before looking at your data. This leads to graphics that lack context and provide little value. Visualize This teaches you a data-first approach. Explore what your data has to say first, and you can design graphics that mean something.

Visualization and data design all come easier with practice, and you can advance your skills with every new dataset and project. To begin though, you need a proper foundation and know what tools are available to you (but not let them bog you down). I wrote Visualize This with that in mind.

You'll be exposed to a variety of software and code and jump right into real-world datasets so that you can learn visualization by doing, and most importantly be able to apply what you learn to your own data.

Three Data Visualization Steps:

1) Ask a Question

(Click Graphic to See Larger Version)

When you get a dataset, it sometimes is a challenge figuring out where to start, especially when it's a large dataset. Approach your data with a simple curiosity or a question that you want answered, and go from there.

2) Explore Your Data

(Click Graphic to See Larger Version)

A simple curiosity often leads to more questions, which are a good guide for what stories to dig into. What variables are related to each other? Can you see changes over time? Are there any features in the data that stand out? Find out all you can about your data, because the more you know what's behind the numbers, the better story you can tell.

3) Visualize Your Data

(Click Graphic to See Larger Version)

Once you know the important parts of your data, you can design graphics the best way you see fit. Use shapes, colors, and sizes that make sense and help tell your story clearly to readers. While the base of your charts and graphs will share many of the same properties – bars, slices, dots, and lines – the final design elements will and should vary by your unique dataset.

Visualize This 在线电子书 下载 mobi epub pdf txt 在线电子书下载

想要找书就要到 图书目录大全
立刻按 ctrl+D收藏本页
你会得到大惊喜!!

Visualize This 在线电子书 读后感

评分

普及性质,作者非常热爱数据可视化 http://app.yinxiang.com/shard/s2/sh/5ac3535a-8218-4d57-8a33-5478c16a6c37/a7251d1a09c33ab8e14754b8897efdbc  

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本书介绍了数据可视化的常用工具,基本以R语言为例介绍不同类别的数据可视化场景的解决方案。可以看作数据可视化工具清单。已经看过一遍,估计以后还会经常拿出来翻翻。 另外这本书在图灵网站上可以买到电子版,PDF的,看着挺舒服的。  

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本书介绍了数据可视化的常用工具,基本以R语言为例介绍不同类别的数据可视化场景的解决方案。可以看作数据可视化工具清单。已经看过一遍,估计以后还会经常拿出来翻翻。 另外这本书在图灵网站上可以买到电子版,PDF的,看着挺舒服的。  

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