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Home Archives for Data Visualizations

Kate Brigham – PatientsLikeMe: Adventures with Data Visualizations

May 24, 2011 By Jonathan Jeter Leave a Comment

UIE Web App Master’s Tour – Seattle, Washington – May 24, 2011

Kate Brigham - PatientsLikeMe - Adventures with Data Visualizations
Kate Brigham - Adventures with Data Visualizations

8 in 10 internet users have looked online for health information

patientslikeme helps patients track chronic conditions and learn from the experience from other people who are experiencing the same symptoms, medications and conditions

People share stories as part of a typical conversation. PatientsLikeMe tracks all data about members by translating stories into data.

Given my status, what is the best outcome I can hope to achieve and how do I get there? – establish a baseline for member engagement

Make it easy for people to create data

If you’re asking people to invest time and energy to give you the data, let them know how it will benefit them.

Don’t be afraid to experiment.

Make forms easy

Start with questions that are easy to answer and don’t use jargon…

Read the rest of Kate Brigham – PatientsLikeMe: Adventures with Data Visualizations

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Filed Under: User Interface / User Experience Design Tagged With: accurate term, Amyotrophic lateral sclerosis, Ask an Expert, Benjamin Heywood, best outcome, Chronic (medicine), chronic conditions, Clinical trial, data accuracy, data users, Data Visualizations, digestible pieces, Divide data, health information, help users, internet users, Kate Brigham, large amounts, member engagement, PatientsLikeMe, Paul Wicks, questions visitors, simpler components, single question, Technology Internet, Technology Review, text labels, typical conversation, UI, UIE, UIE Web App, user answer, UX, visual cues, web app, Web App Master, Web App Master's Tour

Noah Iliinsky – The Steps to Beautiful Visualizations

May 23, 2011 By Jonathan Jeter Leave a Comment

UIE Web App Master’s Tour – Seattle, Washington – May 23, 2011

 

Noah Iliinsky - The Steps to Beautiful Visualizations
Noah Iliinsky - The Steps to Beautiful Visualizations

Noah Iliinsky

How do you start from a mountain of data and create something presentable that conveys the message?

Analysis vs Presentation

Data Visualization vs Infographic

Data Visualizations are generated

Infographics are designed (manually drawn)

Education vs Persuasion

Education distributes information without a message

Persuasion has an agenda

Complexity

The number of different information axes represented

Large number of targets

Finite number of visual properties

Qualitative relationships are more difficult to represent because there are no standards and the reader has to be educated before the reader can understand the data.

Intentional choices are superior to arbitrary choices. You need to make intentional choices when presenting data, not just use a template of what you’ve done before.

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Filed Under: User Interface / User Experience Design Tagged With: actual placement, agenda complexity, appropriate encodings, arbitrary choices, arbitrary design choices, Beautiful Visualizations, better answer, better option, Data Visualizations, Default formats, design elements, Different goals, different information, Different methods, different preserve order, favorite flavors, graphical treatment, Infographic Data Visualizations, Information graphics, Information visualization, intentional choices, Large number, location relative placement, message persuasion, necessary information, new format, Noah Iliinsky, numeric labels, Pattern matching, pattern matching machines, pattern violations, Persuasion Education, placement correlates, placement matters axes, Qualitative relationships, real life, redundant encoding, right answer, Technology Internet, UI, UIE, UIE Web App, unintentional patterns, user research, UX, visual properties, vs presentation data, web app, Web App Master, Web App Master's Tour

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