數(shù)據(jù)之美

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."

內(nèi)容概要

你很快就會(huì)發(fā)現(xiàn)基于數(shù)據(jù)的工作會(huì)變得多么廣泛和美妙。通過(guò)一系列的個(gè)人故事，該領(lǐng)域的39位最佳數(shù)據(jù)從業(yè)者解釋了他們是如何為各式各樣的項(xiàng)目來(lái)開(kāi)發(fā)簡(jiǎn)單而又優(yōu)雅的解決方案，包括從火星著陸器到電臺(tái)司令(radiohead)的視頻，以及更多。通過(guò)這本書(shū)，你可以：　　·探索大量在線數(shù)據(jù)集內(nèi)在的機(jī)會(huì)和挑戰(zhàn)　　·了解如何使用地圖和數(shù)據(jù)糅合來(lái)可視化城市犯罪趨勢(shì)　　·發(fā)現(xiàn)眾包和透明度如何推進(jìn)了藥品研究的狀態(tài)　　·理解新數(shù)據(jù)如何能在覆蓋先前數(shù)據(jù)時(shí)提醒用戶　　·了解處理dna數(shù)據(jù)所需的巨量基礎(chǔ)設(shè)施

作者簡(jiǎn)介

編者：（美國(guó)）西格蘭（Toby Segaran） （美國(guó)）哈梅巴赫（Jeff Hammerbacher）

書(shū)籍目錄

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

章節(jié)摘錄

插圖：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.

媒體關(guān)注與評(píng)論

數(shù)據(jù)之美（影印版）“數(shù)據(jù)實(shí)際上已經(jīng)是下一代計(jì)算機(jī)應(yīng)用程序的真正核心。在本書(shū)中，業(yè)界領(lǐng)先者描述了他們的項(xiàng)目是如何采用新方法來(lái)攫取數(shù)據(jù)的威力。對(duì)于那些對(duì)數(shù)據(jù)的未來(lái)和解決問(wèn)題的方法感興趣的人來(lái)說(shuō)，這是一本必須要讀的書(shū)。”　　——Tim O’Reilly，O’Reilly Media，Inc.創(chuàng)始人和CEO

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