Spis treści: „Beautiful Data: The Stories Behind Elegant Data Solutions”

Spis treści publikacji pt. „Beautiful Data: The Stories Behind Elegant Data Solutions”.

Tytuł: „Beautiful Data: The Stories Behind Elegant Data Solutions”
Autorzy: Toby Segaran, Jeff Hammerbacher
Wydawca: O’Reilly Media
Data wydania: 2009-07-31
Język: Angielski
Liczba stron: 386

Spis treści

Spis treści / Table of contents
PREFACE / xi

1. SEEING YOUR LIFE IN DATA / 1

by Nathan Yau

Personal Environmental Impact Report (PEIR) / 2

your.flowingdata (YFD) / 3

Personal Data Collection / 3

Data Storage / 5

Data Processing / 6

Data Visualization / 7

The Point / 14

How to Participate / 15

2. THE BEAUTIFUL PEOPLE: KEEPING USERS IN MIND WHEN DESIGNING DATA COLLECTION METHODS / 17

by Jonathan Follett and Matthew Holm

Introduction: User Empathy Is the New Black / 17

The Project: Surveying Customers About a New Luxury Product / 19

Specific Challenges to Data Collection / 19

Designing Our Solution / 21

Results and Reflection / 31

3. EMBEDDED IMAGE DATA PROCESSING ON MARS / 35

by J. M. Hughes

Abstract / 35

Introduction / 35

Some Background / 37

To Pack or Not to Pack / 40

The Three Tasks / 42

Slotting the Images / 43

Passing the Image: Communication Among the Three Tasks / 46

Getting the Picture: Image Download and Processing / 48

Image Compression / 50

Downlink, or, It’s All Downhill from Here / 52

Conclusion / 52

4. CLOUD STORAGE DESIGN IN A PNUTSHELL / 55

by Brian F. Cooper, Raghu Ramakrishnan, and Utkarsh Srivastava

Introduction / 55

Updating Data / 57

Complex Queries / 64

Comparison with Other Systems / 68

Conclusion / 71

5. INFORMATION PLATFORMS AND THE RISE OF THE DATA SCIENTIST / 73

by Jeff Hammerbacher

Libraries and Brains / 73

Facebook Becomes Self-Aware / 74

A Business Intelligence System / 75

The Death and Rebirth of a Data Warehouse / 77

Beyond the Data Warehouse / 78

The Cheetah and the Elephant / 79

The Unreasonable Effectiveness of Data / 80

New Tools and Applied Research / 81

MAD Skills and Cosmos / 82

Information Platforms As Dataspaces / 83

The Data Scientist / 83

Conclusion / 84

6. THE GEOGRAPHIC BEAUTY OF A PHOTOGRAPHIC ARCHIVE / 85

by Jason Dykes and Jo Wood

Beauty in Data: Geograph / 86

Visualization, Beauty, and Treemaps / 89

A Geographic Perspective on Geograph Term Use / 91

Beauty in Discovery / 98

Reflection and Conclusion / 101

7. DATA FINDS DATA / 105

by Jeff Jonas and Lisa Sokol

Introduction / 105

The Benefits of Just-in-Time Discovery / 106

Corruption at the Roulette Wheel / 107

Enterprise Discoverability / 111

Federated Search Ain’t All That / 111

Directories: Priceless / 113

Relevance: What Matters and to Whom? / 115

Components and Special Considerations / 115

Privacy Considerations / 118

Conclusion / 118

8. PORTABLE DATA IN REAL TIME / 119

by Jud Valeski

Introduction / 119

The State of the Art / 120

Social Data Normalization / 128

Conclusion: Mediation via Gnip / 131

9. SURFACING THE DEEP WEB / 133

by Alon Halevy and Jayant Madhaven

What Is the Deep Web? / 133

Alternatives to Offering Deep-Web Access / 135

Conclusion and Future Work / 147

10. BUILDING RADIOHEAD’S HOUSE OF CARDS / 149

by Aaron Koblin with Valdean Klump

How It All Started / 149

The Data Capture Equipment / 150

The Advantages of Two Data Capture Systems / 154

The Data / 154

Capturing the Data, aka “The Shoot” / 155

Processing the Data / 160

Post-Processing the Data / 160

Launching the Video / 161

Conclusion / 164

11.VISUALIZING URBAN DATA / 167

by Michal Migurski

Introduction / 167

Background / 168

Cracking the Nut / 169

Making It Public / 174

Revisiting / 178

Conclusion / 181

12.THE DESIGN OF SENSE.US / 183

by Jeffrey Heer

Visualization and Social Data Analysis / 184

Data / 186

Visualization / 188

Collaboration / 194

Voyagers and Voyeurs / 199

Conclusion / 203

13. WHAT DATA DOESN’T DO / 205

by Coco Krumme

When Doesn’t Data Drive? / 208

Conclusion / 217

14. NATURAL LANGUAGE CORPUS DATA / 219

by Peter Norvig

Word Segmentation / 221

Secret Codes / 228

Spelling Correction / 234

Other Tasks / 239

Discussion and Conclusion / 240

15. LIFE IN DATA: THE STORY OF DNA / 243

by Matt Wood and Ben Blackburne DNA As a Data Store / 243

DNA As a Data Source / 250

Fighting the Data Deluge / 253

The Future of DNA / 257

16. BEAUTIFYING DATA IN THE REAL WORLD / 259

by Jean-Claude Bradley, Rajarshi Guha, Andrew Lang,Pierre Lindenbaum, Cameron Neylon, Antony Williams, and Egon Willighagen

The Problem with Real Data / 259

Providing the Raw Data Back to the Notebook / 260

Validating Crowdsourced Data / 262

Representing the Data Online / 263

Closing the Loop: Visualizations to Suggest New Experiments / 271

Building a Data Web from Open Data and Free Services / 274

17. SUPERFICIAL DATA ANALYSIS: EXPLORING MILLIONS OF SOCIAL STEREOTYPES / 279

by Brendan O’Connor and Lukas Biewald

Introduction / 279

Preprocessing the Data / 280

Exploring the Data / 282

Age, Attractiveness, and Gender / 285

Looking at Tags / 290

Which Words Are Gendered? / 294

Clustering / 295

Conclusion / 300

18. BAY AREA BLUES: THE EFFECT OF THE HOUSING CRISIS / 303

by Hadley Wickham, Deborah F. Swayne, and David Poole 

Introduction / 303

How Did We Get the Data? / 304

Geocoding / 305

Data Checking / 305

Analysis / 306

The Influence of Inflation / 307

The Rich Get Richer and the Poor Get Poorer / 308

Geographic Differences / 311

Census Information / 314

Exploring San Francisco / 318

Conclusion / 319

19. BEAUTIFUL POLITICAL DATA / 323

by Andrew Gelman, Jonathan P. Kastellec, and Yair Ghitza

Example 1: Redistricting and Partisan Bias / 324

Example 2: Time Series of Estimates / 326

Example 3: Age and Voting / 328

Example 4: Public Opinion and Senate Voting on Supreme Court Nominees / 328

Example 5: Localized Partisanship in Pennsylvania / 330

Conclusion / 332

20. CONNECTING DATA / 335

by Toby Segaran

What Public Data Is There, Really? / 336

The Possibilities of Connected Data / 337

Within Companies / 338

Impediments to Connecting Data / 339

Possible Solutions / 343

Conclusion / 348

CONTRIBUTORS / 349

INDEX / 357

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