数据之美

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出版社:东南大学出版社
出版日期:2010-6-1
ISBN:9787564122720
页数:364页

章节摘录

插图:We then purchased an inexpensive data set of IP-to-State information. With it, we wereable to match each IP address collected with the U.S. state in which it resided. Althoughwe could have scripted our pages to access this database and match the numbers at thetime of data collection, we chose to do the matching semi-automatically after the fact. Forstarters, the project budget and timeframe did not warrant purchasing the additionalserver power to handle the task. But more important, from a user perspective, was thedelay this matching would have inevitably built into the survey completion process.Although it might have been more convenient for us to receive finalized data at once, itwould have created an additional inconvenience for our user. When designing a data col-lection experience, it's important to think about what server tasks must take place duringthe survey in order for the user's needs to be met, and what tasks can be delayed until afterdata collection. Don't ask the user to do what you can do——or discover——on your own.All of this leads us back to the central point of this chapter, which is also the final, andcore, aspect of building trust: treat the respondent with respect. By demonstrating thatyou value the respondent and her time and intelligence, by interacting with her in a Con-versational manner (despite the fact that all survey questions are being delivered by a pre-programmed machine), and showing her that you've been "listening" to her answers(don't, for example, ask slight variations of the same question over and over again, whichmakes it seem as though you didn't pay attention to her original response), you'll increasetrust, encourage real answers, and keep the respondent from disengaging.

前言

WHEN WE WERE FIRST APPROACHED WITH THE IDEA OF A FOLLOW-UP TO BEAUTIFUL CODE, THIS TIMEabout data, we found the idea exciting and very ambitious. Collecting, visualizing, andprocessing data now touches every professional field and so many aspects of daily life thata great collection would have to be almost unreasonably broad in scope. So we contacted ahighly diverse group of people whose work we admired, and were thrilled that so manyagreed to contribute.This book is the result, and we hope it captures just how wide-ranging (and beautiful)working with data can be. In it you'll learn about everything from fighting with govern-ments to working with the Mars lander; you'll learn how to use statistics programs, makevisualizations, and remix a Radiohead video; you'll see maps, DNA, and something we canonly really call "data philosophy."

媒体关注与评论

数据之美(影印版)“数据实际上已经是下一代计算机应用程序的真正核心。在本书中,业界领先者描述了他们的项目是如何采用新方法来攫取数据的威力。对于那些对数据的未来和解决问题的方法感兴趣的人来说,这是一本必须要读的书。”  ——Tim O’Reilly,O’Reilly Media,Inc.创始人和CEO

内容概要

编者:(美国)西格兰(Toby Segaran) (美国)哈梅巴赫(Jeff Hammerbacher)

书籍目录

PREFACE 1 SEEING YOUR LiFE IN DATA  by Nathan Yau  Personal Environmental Impact Report (PEIR)  your.flowingdata (YFD)  Personal Data Collection  Data Storage  Data Processing  Data Visualization  The Point  How to Participate 2 THE BEAUTIFUL PEOPLE: KEEPING USERS iN MIND WHEN DESIGNING DATA COLLECTION METHODS  by Jonathan Follett and Matthew Holm  Introduction: User Empathy Is the New Black  The Project: Surveying Customers About a New Luxury Product  Specific Challenges to Data Collection  Designing Our Solution  Results and Reflection 3 EMBEDDED IMAGE DATA PROCESSING ON MARS  by J. M. Hughes

作者简介

《数据之美(影印版)》揭示了数据发现可以是多么广泛和美丽!39位业内最佳数据实践者揭秘了他们如何为各种项目开发简单优雅的解决方案 。

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精彩短评 (总计8条)

  •     从不同的角度阐述数据挖掘技术应用,难得的好书。
  •     看着玩的,质量很赞,喜欢
  •     东南大学出版社出版的东西,还成。中间有彩图。
  •     这本书适合有一定数据挖掘基础的人看
  •     内容太杂, 没有目的性.
  •     借了室友的影印版在读 但是不知道能否坚持 因为缺少相关项目经验 看着那些设计方法没有什么感觉
  •     翻译的晦涩拙劣
  •     适合程序,开发,内容图文并茂
 

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