Data insights new ways to visualize and make sense of data

Data Insights offers multi-disciplinary perspectives and useful information about how visualizations can open your eyes to data. This thought-provoking book takes a conversational approach to presenting an overview of the subject, while also focusing on key details. It highlights the ideas and work...

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Bibliographic Details
Main Author: Whitney, Hunter (-)
Format: eBook
Language:Inglés
Published: Amsterdam : Elsevier 2013.
Edition:1st edition
Subjects:
See on Biblioteca Universitat Ramon Llull:https://discovery.url.edu/permalink/34CSUC_URL/1im36ta/alma991009628589306719
Table of Contents:
  • Front Cover; Data Insights: New Ways to Visualize and Make Sense of Data; Copyright; Dedication; Contents; Preface; Acknowledgments; About the Author; Chapter 1 - From Terabytes to Insights; INTRODUCTION: A GRANDER VIEW; DON'T BE AFRAID OF THE CHART; PEER AT THE WORLD OF DATA; FROM DATA TO WISDOM; A DAY WITH DATA; THE TORRENTS AND TRICKLES OF DATA: OBSERVATIONS FROM STATISTICIAN JOHN BOSLEY; CASCADES OF CONFUSION; THE DATA LIFECYCLE; "JUST THE FACTS": WHAT ARE DATA AND METADATA?
  • WHAT TO LEAVE IN AND WHAT TO LEAVE OUT: A CONVERSATION WITH JOURNALISM PROFESSOR AND TECH ENTREPRENEUR, LEN SELLERSWHAT COUNTS?; THE RIPPLE EFFECT; ATTRIBUTES OF DATA VISUALIZATION; DIVING INTO THE WELL OF MACHINE DATA WITH SPLUNK CIO DOUG HARR; DEEP SIMPLICITY (COMPLEX DATA IN SIMPLE FORMS); WHAT'S NEW?!; Chapter 2 - A More Beautiful Question; THE ART OF INQUIRY; GOOD QUESTION; WASHINGTON, D.C.'S 1100 POINTS OF LIGHT; TWENTY QUESTIONS; PATTERNS, CONTEXTS, AND QUESTIONS; DESIGNING SOFTWARE FOR WHEN YOU DON'T KNOW WHAT YOU DON'T KNOW; THE QUESTIONS WITHIN A QUESTION; KNOWING WHAT YOU'VE GOT
  • QUICK QUESTIONSFINDING "PERSONAL BESTS" (BASED ON WORK BY INFORMATION SCIENTIST, DAN GILLMAN); LOWERING THE "CURIOSITY TAX" FOR BUSINESSES; ASKING GOOD QUESTIONS; APPROACHING DATA WITH A BEGINNER'S MIND; TMD (TOO MUCH DATA)?; A MORE BEAUTIFUL QUESTION; Chapter 3 - Winning Combinations: Working with the Ingredients of Data Visualization; JUST THE RIGHT MIX; COUNTER INTELLIGENCE: FIGURING OUT WHAT TO DO WITH MANY INGREDIENTS; SETTING THE TABLE; PART ONE: SELECTING, STORING, AND COMBINING THE INGREDIENTS OF DATA; PART TWO: FITTING DATA TYPES WITH VISUAL FORMS; COLOR!
  • PART THREE: PUTTING TOGETHER DIFFERENT KINDS OF VISUALIZATIONSA WINNING COLLABORATION ON A SMALL SCALE; CONCLUSION; Chapter 4 - Pathways, Purposes, and Points of View; ALONG THESE LINES . . .; FOLLOWING STRANDS OF DATA; ON THE ROAD AGAIN; TANGIBLE AND INTANGIBLE PATHWAYS; PATHWAY AND PROCESS; FINDING RARE BIRDS IN DENSE JUNGLES: A PACKING LIST; TIME TRAVEL, TRACKS, AND WAKES: VISUALIZING FLUX AND DATA; DATA AND THE NARRATIVE PATH; CROSSING POINTS AND GRAPH VISUALIZATIONS; BRIDGES, NETWORKS, AND ROLES; DOTS WITH ADVANCED DEGREES
  • USABILITY AND DATA VISUALIZATION