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THE UX OF DATA - VISUALIZATION RESPONSIVE

Jan 27, 2017

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Peter Rozek
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Page 1: THE UX OF DATA - VISUALIZATION RESPONSIVE

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THE UX OF DATAVISUALIZATION RESPONSIVE

SMART DATA 2016

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PETER ROZEK

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WORK @ ecx.io (DIGITAL AGENCY)

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ECX.IO AN IBM COMPANY

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UX, USABILITY, ACCESSIBILITY, FRONTEND

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DATA VISUALIZATION TODAY, IS ABOUT DESIGNING SYSTEMS, STRATEGIES AND EXPERIENCE.

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HISTORY OF DATA VISUALIZATION

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300BC

PORPHYRY OF TYROS CREATED THE FIRST DOCUMENTED MIND MAP.

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1786

WILLIAM PLAYFAIR PUBLISEHD THE FIRST SET OF CHARTS.

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TODAY, DATA WAS NO LONGER LIMITED TO JUST A STATIC VIEW, IT COULD BE INTERACTED WITH DYNAMICALLY.

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WE ARE WIRED TO VISUALIZE FAST.

WE ARE NOT WIRED TO READ FAST.

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THE OLD SAYING:

„A PHOTO IS WORTH A THOUNSEND WORDS“.

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8.96 Mb/S VISUAL 81.6 B/S

READING

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THE AVERAGE PERSON COMPREHENDS 120 WORDS PER MINUTE READING.

THAT IS EQUIVALENT TO 81.6 BITS OF DATA PER SECOND.

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THE CONNECTION BETWEEN THE EYE AND BRAIN IS FAST.

THE HUMAN BRAIN IS ESPECIALLY AT RECOGNIZING SHAPES AND PATTERNS.

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WHAT IS EXACTLY THE UX OF DATA VISUALIZATION?

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HUMANIZED

PERSONAL CONNECT

MEMORABLE

IMPACTFUL

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WHAT EXACTLY DOES DATA VISUALIZATION DO?

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DATA VISUALIZATION IS A VISUAL REPRESENTATION OF DATA.

DATA MADE MORE UNDERSTANDABLE.

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DATA VISUALIZATION AND INFOGRAPHICS ARE NOT THE SAME.

INFOGRAPHICS TELL A SCROLLING STORY, BY PROVIDING TIDBITS OF DATA TO SUPPORT A SPECIFIC IDEA OR STRATEGY.

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@webinterface Source: http://www.evanshalshaw.com/more/bondcars/

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MAKE YOUR DATA KNOWLEDGE BEAUTIFUL IN FIVE STEPS. 5

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1. UNDERSTAND THE SOURCE

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@webinterface Image: http://www.br.de

VISUAL COMPLEXITY

LEARNING TO CREATE GOOD DATA VISUALIZATION MEANS TO UNDERSTAND THE DATA AT FIRST.

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5 6 8 9 1 3 4 8 3 9 4 5 6 7 1 0 2 3 5 8 7 8 3 5 7 3 9 2 4 9 3 1 9 3 4 5

DATATRANSFORMATION

STATISTICS

VISUALMAPPING

VISUAL DESIGN

INTERACTIVE FRAMING

INTERACTION DESIGN

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START SKETCHING YOUR IDEA. THIS TECHNIQUE IS FAST AND EASY TO EVALUATE.

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2. UNDERSTAND THE CONTEXT

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CONTEXT:

THINK SMALL AND ASSET DEPENDENCE

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PLOTTING THE UX OF DATA IN A JOURNEY MAP.

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CONTENT:

READABLE

OPERABLE

UNDERSTANDABLE

INTERACTION

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COMPONENT:

DESIGN VISUALIZATIONS FOR ANY SCREEN AND ANY BROWSER.

USE HTML TO BUILD AND JAVASCRIPT TO ENHANCE.

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THINK RESPONSIVELY FROM THE BEGINNING OF THE PROJECT.

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USE AND ADAPT THE TECHNICAL PRINCIPLES OF RESPONSIVE WEB DESIGN.WORKING WITH FLEXIBLE GRIDDESIGNING WITH CSSENHANCING WITH JAVASCRIPT

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3. IDENTIFY THE NARRATIVE

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GOOD DATA VISUALIZATION TELLS A STORY THAT CAN BE UNDERSTAND BY ANYONE.

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@webinterface Source: What makes a good visualization?

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STORYTELLING CHANGES WITH TECHNOLOGY.

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CAVE PAINTING TELL STORIES

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PEOPLE TELL STORIES

@webinterface Image: https://de.wikipedia.org/wiki/Geschichte_des_Buchdrucks

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Image from: https://de.wikipedia.org/wiki/Geschichte_des_Buchdrucks@webinterface

WORDS TELL STORIES

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IMAGES TELL STORIES

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Image from: http://nikolawashere.com/tag/avengers/@webinterface

COMIC TELL STORIES

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Image from: http://www.giga.de/filme/...@webinterface

MOVIES TELL STORIES

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DATA TELL STORIESSTORIES ARE MEANINGFULDATA ARE MEANINGFUL

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Source: http://d3js.org/

D3.js

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JAVASCRIPT LIBRARY FOR MANIPULATING DOCUMENTS BASED ON DATA.

USING HTML, SVG, CSS TRANSITIONS EMPHASIS ON WEB STANDARDS CAPABILITIES OF MODERN BROWSERS

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„…so if your browser doesn't support standards, you're out of luck. Sorry!“

D3 documentation

Source: https://github.com/mbostock/d3/wiki@webinterface

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Source: http://www.chartjs.org/

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HTML 5 BASED SIMPLE AND FLEXIBLE RESPONSIVE MODULAR INTERACTIVE

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@webinterface Source: https://gionkunz.github.io/chartist-js/

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STYLE WITH CSS & CONTROL WITH JS USAGE OF SVG RESPONSIVE CONFIGURATION WITH MEDIA QUERIES

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4. DEFINE THE USER EXPERIENCE

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DATA NEEDS A LANGUAGE AND STORY TO FOLLOW BE EFFECTIVE.

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TURNING STORIES INTO REALITY:

MEMORABLE

IMPACTFUL

PERSONAL CONNECT

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5. SIMPLICITY RULES

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DATA VISUALIZATIONS EXIST TO INFORM THE USER.

THEY´RE NOT AN EXCUSE TO OVERLOAD SOMEONE WITH INFORMATION THEY DON´T NEED TO KNOW.

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ROLE OF A DESIGNER AND DEVELOPER TO FOCUS ON SIMPLICITY.

TAKING COMPLEX OR DISPARATE INFORMATION AND MAKING IT TANGIBLE AND UNDERSTANDABLE.

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CONCLUSION

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WHAT IS YOUR OBJECTIVE?

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RESEARCH:FIND YOUR USER´S

FRICTION.

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IMPLEMENT MEASURE ITERATE

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MORE HUMAN

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„Big Data ist kein Heiliger Gral. Entscheidungen müssen immer noch von Menschen getroffen werden. Maschinen können nicht kreativ sein.“

Jeremy Abbet, Creative Evangelist bei Google Deutschland

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THANKS

…dear Ellen

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