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The Future Of Data Visualization

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The Future Of Data Visualization
with Gert Franke

OVERVIEW
Data visualization has become increasingly popular over the last few years. Many tools nowadays include some kind of data visualization which gives you insight in usage, the best possible way to travel, the best product offering, etc. Data visualization seems to be a powerful solution for summarising information in a world where the amount of information targeted towards us is increasing every day. But is this the holy grail for processing information? What new possibilities does visualising data provide us? What is the best possible way to present and interact with these data visualizations?

In this talk Gert Franke will briefly show where data visualization comes from, how it now influences our daily life, what the potential of data visualization is and what the future of data visualization might look like.

OBJECTIVE
Show the history, potential and future of data visualization.

TARGET AUDIENCE
People that want to understand the possibilities of interactive data visualizations.

FIVE THINGS AUDIENCE MEMBERS WILL LEARN
The history of data visualization
The reasons why data visualization became so hot the last few years
The potential of data visualization
The things we have to be aware of when creating (interactive) data visualizations
What might the future look like with the use of data visualization

Published in: Design
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The Future Of Data Visualization

  1. 1. CLEVER°FRANKE — FITC — 22-02-’16 — THE FUTURE OF DATA VISUALIZATION
  2. 2. What is data visualization?
  3. 3. My approach
  4. 4. PERSPECTIVEData Visualization+
  5. 5. CLEVER°FRANKE combines strategy, design and technology to create data driven tools that drive change. Who are we? FOUNDED IN 2008
  6. 6. THE FUTURE So let’s start with the history!
  7. 7. Clay tablet with map of the Babylonian city of Nippur (ca. 1400 BC)
  8. 8. social Cholera Map (1854) John Snow
  9. 9. Statistical Atlas of the United States of America (1880) Henry Gannett
  10. 10. Weather chart 1963
  11. 11. At any time Specific In summary Encourages actionInforms ±’90: TV weather forecast ’97 Website ’06 Radar image ’11 Personalised app ’14 Personalised alerts Will it rain? Current history
  12. 12. C°F weather charts: visualizing weather data
  13. 13. OPEN DATA
  14. 14. What’s needed to create a data visualization?
  15. 15. ROUGH INGREDIENTS FOR DATA VISUALIZATION Presentation Platform Data Visualization tool
  16. 16. ACQUIRE PARSE FILTER VISUALIZE ENRICH INTERACTANALYSE based on Computational Information Design by Ben Fry METHOD
  17. 17. ACQUIRE PARSE FILTER VISUALIZE ENRICH INTERACTANALYSE based on Computational Information Design by Ben Fry METHOD
  18. 18. Easy to use Advanced Data Design Google Fusion Tables TIBCO Spotfire MagnaView QlikView Tableau (public) Cytoscape Mapbox GeoCommons CartoDB QGIS D3.js threejs Raphael Processing 2 NodeBox Open Refine Excel / OpenOffice Mr. Data Converter DataWrangler R-Project Timeline RAW Quadrigram Visage Circos Many Eyes DataWrapper SOFTWARE TOOLS FOR VISUALIZATION
  19. 19. TEAM Source: Andy Kirk
  20. 20. Comparing quantitative and categorical values Charting hierarchical and part-to-whole relationships Plotting trends and changes over time Graphing connections and multivariate relationships Mapping spatial data DIFFERENT CHART TYPES
  21. 21. Make decisions Viewing data in context Finding patterns Understanding a story Getting inspired GOALS
  22. 22. THERE IS MORE AND MORE DATA COLLECTED… WHICH IS PROCESSED AND ENRICHED IN MORE WAYS AND PRESENTED AT MORE AND MORE WAYS AND STORE AT MORE AND MORE LOCATIONS…
  23. 23. The future of data visualization for Governments
  24. 24. CASE: Visualising Chicago’s mobility and infrastructure towards a prosperous future. — WEBSITE » ANALYSIS, DESIGN & DEVELOPMENT
  25. 25. Excel Tableau QGIS Processing Illustrator After Effects
  26. 26. C°F
  27. 27. The future of data visualization in health care
  28. 28. PHILIPS: VISION OF THE FUTURE
  29. 29. PROJECT ARA
  30. 30. OXFORD NANOPORE MINION
  31. 31. The future of data visualization in agriculture
  32. 32. DACOM
  33. 33. GROVE LABS
  34. 34. Conclusion
  35. 35. The world is changing rapidly from generalised overviews to targeted, personalised, localised information From macro to micro
  36. 36. How data visualisation evolves will be determined by the way we can access data, and how we process & present it. Access & presentation
  37. 37. Data visualisation is a means to an end. As we’ve seen in all the examples, data visualisation is just a small element in a larger ‘system’. Means to an end
  38. 38. We must design for the whole ecosystem in which data ‘lives’ and creating awareness of the whole system to users (data literacy). Data literacy
  39. 39. Creators need to think about the balance between giving the full insight or just summarise information. Challenge for designers
  40. 40. Data visualisation professionals must do everything they can to guide users through complexity and contribute to the understanding of people about the world around them. What data visualisation can do EXCITING TIMES!
  41. 41. @cleverfranke/cleverfranke cleverfranke.com THANK YOU!f

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