Designing with Data for Humans

1. Designing with Data   for Humans UXThursday, June 26th 2014 Ivo Gasparotto / @ovidovi

2. “…it provides us with new kinds of glasses to see the world.” -Moritz Stephaner, information designer

3. Understanding Users and Data

4. What is ﬂeet management? Vehicles service sales Humans drivers managers executives

5. ! What are the biggest opportunities for improvement?

6. Large scale Location Diverse data sets Numeric format Vehicle data qualities

7. Sketch it out but prototype with real data

8. BI LEAD PROJECT MANAGER DATA ANALYST ARCHITECT BI LEAD VISUAL DESIGN INTERACTION DESIGN NOT PICTURED DATA BASE ARCHITECT BACK-END DEVELOPMENT FRONT-END DEVELOPMENT DATA SCIENTIST BUSINESS ANALYST GEOSPATIAL DEVELOPER The team

9. d3js.orgprocessing.org

10. Building   Structure

11. Large scale Location Diverse data sets Numeric format Vehicle data qualities

12. Visualization choices: Large scale Grouping like objects with aggregation Enable movement through   layers of information ! ! ! Allow for granular views of data ! ! ! Represent different perspectives

13. Loss of important detail through aggregation ! ! ! High density provides richness in data ! ! ! Visualization choices: Large Scale Leverage density to provide more depth in the data

14. Use geography as a navigation system Visualization choices: Location

15. Use geography as a canvas Visualization choices: Location

16. Change Perspective Manage Categories Adjust Binary AspectsSet Threshold Allow for exploration by providing controls Design choices: Diverse datasets

17. Scale or range 5 1 Make numbers more relevant and understandable Metaphor 143.89 Context 185.79 Design choices: Numeric formats

18. Creating Experiences

19. “How can I look at the problem from different vantage points? ! How can I look at this information? Can it be made to look smaller? Can I see it in context? How can I pull myself out of the situation? How do I see it by changing scale?” ! ! -Richard Saul Wurman, Information Anxiety

20. Humans understand stories

21. “What the Jobs Report Really Means” by Matthew C. Klein http://www.bloomberg.com/dataview/2013-11-08/

24. Our Responsibility

25. Chicago Hot List: Predictive Policing “An index of the roughly 400 people in the city of Chicago supposedly most likely to be involved in violent crime.”

26. A call to action

27. Thank you Ivo Gasparotto / @ovidovi