Download - How to design for data experiences
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Understanding and Exploration
Design for Data Experiences
Charles Joseph Minard
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Table of Contents
• Introduction
• Design for Data Experiences
• Our Approach to Design for Data Experiences
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Information is not useful anymore
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we are producing more knowledge than ever before
How long does it take the knowledge to double up1750 – 1900 - 150 years1900-1950 – 50 years1950 – 1960 – 10 yearsBy 2020 – Every 73rd Day
Information Anxiety 2By Richard Saul’s On an average Sunday New York Times contains more information than a Renaissance-era person had access to in his entire lifetime.
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Social networks, connected objects, information systems, Open data: our societies always generate more data without having the time to develop the tools to understand them.This data-deluge forever changed the way we work and inform us. Whatever the public concerned, it now expects the transparency and clarity to give her confidence . However, neither journalists nor traditional information sources today have the means to make them readable data streams that impact our daily lives.
information explosion has made it difficult to understand, learn and comprehend subjects and its content
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complex decision making with amount of information required
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Data Experiences
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large data set
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Creating Purposeful Data Experiences
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Slide 13
UnderstandingTo learn about a domain or simply understanding what a given data source contains.
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Slide 15
DiscoveringTo find new information and facts that were not known beforehand (and probably unexpected). Show me something that I have never seen Before
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Slide 16
Problem SolvingTo model and represent a problem in a way that permits to find and evaluate solutions
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Slide 17
Decision MakingTo make decisions based on data and evaluate their quality and impact
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Slide 18
Persuasive StorytellingTo communicate, information, motivate or persuade audiences with specific message to an audience
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Slide 20
monitoring and situation awarenessTo take under control the state of a dynamic system and react when needed.
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Slide 23
art and funProduce pleasurable artifacts
Seismogram from Japan Earthquake
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How do we do it
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Slide 25
end-product vs. process
acquire n parse
filter n mine
represent n refine
interact
audience à goalsComputer Science
MathematicsStatistics
Information DesignGraphic Design
HCIInteraction design
Domain/BusinessFunctional. Process
Define audiences, goals and determine the most important data that should/can be communicated
Acquire data, supplement with other public data if necessary. Parse and format data and integrate multiple datasets. Filter to only include relevant data
Align with best possible patterns to visualize data and test with end-users on biases, consumption and refine. Check if the goals are met. Add meaningful and simple interaction for users to manipulate
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Slide 27
what to keep in mind• Web vs. Desktop
• Communication vs. Exploration (and Discovery)
• Many and Diverse vs. Single and Specialized User Base
• Small and Targeted vs. Large and General Purpose
• Shallow vs. Deep Interaction
• Funny and Empathic vs. Cold and Technical
• Maps and Charts vs. Fancy Visualizations