Published on February 26, 2014
Design for Data Experiences Understanding and Exploration Charles Joseph Minard
Table of Contents • Introduction • Design for Data Experiences • Our Approach to Design for Data Experiences 2
Information is not useful anymore
we are producing more knowledge than ever before Information Anxiety 2 By 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. How long does it take the knowledge to double up 1750 – 1900 - 150 years 1900-1950 – 50 years 1950 – 1960 – 10 years By 2020 – Every 73rd Day 4
information explosion has made it difficult to understand, learn and comprehend subjects and its content 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. 5
complex decision making with amount of information required 6
large data set 9
Creating Purposeful Data Experiences
Understanding To learn about a domain or simply understanding what a given data source contains. Slide 13
Discovering To find new information and facts that were not known beforehand (and probably unexpected). Show me something that I have never seen Before Slide 15
Problem Solving To model and represent a problem in a way that permits to find and evaluate solutions Slide 16
Decision Making To make decisions based on data and evaluate their quality and impact Slide 17
Persuasive Storytelling To communicate, information, motivate or persuade audiences with specific message to an audience Slide 18
monitoring and situation awareness To take under control the state of a dynamic system and react when needed. Slide 20
art and fun Produce pleasurable artifacts Seismogram from Japan Earthquake Slide 23
How do we do it
end-product vs. process audience goals acquire n parse filter n mine represent n refine interact 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 Domain/Business Functional. Process Computer Science Mathematics Statistics Information Design Graphic Design HCI Interaction design Slide 25
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 Slide 27
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