Jeff Heer of UW talks about data visualization at UW and Trifacta.

1. Adventures in
Data Visualization
Jeffrey Heer @jeffrey_heer
Univ. of Washington + Trifacta

5. Visualization

6. Acquisition
Cleaning
Integration
Modeling
Visualization
Presentation
Dissemination

7. Acquisition
Cleaning
Integration
Modeling
Visualization
Presentation
Dissemination

8. Acquisition
Cleaning
Integration
Modeling
Visualization
Presentation
Dissemination

9. How can we transform data
without programming?

10. I spend more than half of my time
integrating, cleansing and transforming
data without doing any actual analysis.
Most of the time I’m lucky if I get to do any
“analysis” at all.
Anonymous Data Scientist
from our interview study [VAST’12]

11. The Elephant in the Room

13. DataWrangler
with S. Kandel, P. Guo, A. Paepcke & J. Hellerstein [CHI’11]

14. Domain Specific Language (DSL)
Visualization & Interaction
Predictive Interaction

15. Domain Specific Language (DSL)
Visualization & Interaction
User interacts
with data and
visualizations
Predictive Interaction

16. Domain Specific Language (DSL)
Visualization & Interaction
User interacts
with data and
visualizations
Algorithms
predict desired
action based
on data +
context
Predictive Interaction

17. Domain Specific Language (DSL)
Visualization & Interaction
User interacts
with data and
visualizations
Data previews
allow user to
choose,
adjust and
ratify
Algorithms
predict desired
action based
on data +
context
Predictive Interaction

19. How might we support
expressive and effective
visualization designs?

20. d3.js Data-Driven Documents
with M. Bostock, V. Ogievetsky [InfoVis ’11]

23. d3 d3

24. 4th most starred project on GitHub

25. vega.github.io

26. How can we scale
interactive visualizations
to high-volume data?

27. Stratified Sampling (Google Fusion Tables)

28. Binned Aggregation

29. imMens: Real-Time Visual Querying of Big Data
with Z. Liu & B. Jiang

30. imMens: Real-Time Visual Querying of Big Data
with Z. Liu & B. Jiang

49. imMens - Real-time Querying of Big Data
Full Data Cube
Σ Σ Σ Σ
S E R V E R
with Z. Liu, B. Jiang [EuroVis ’13]

50. with Z. Liu, B. Jiang [EuroVis ’13]
imMens - Real-time Querying of Big Data
Full Data Cube
Σ Σ Σ Σ
σ
Σ
S E R V E R
W E B B R O W S E R

51. with Z. Liu, B. Jiang [EuroVis ’13]
imMens - Real-time Querying of Big Data
Full Data Cube
Σ Σ Σ Σ
σ
Σ
S E R V E R
W E B B R O W S E R
50 fps interactive querying of summary
visualizations of billions of data points.

52. What makes a
visualization “good”?

53. Artery Visualization [Borkin et al. ’11]
Rainbow Palette Diverging Palette
2D
3D

54. Artery Visualization [Borkin et al. ’11]
Rainbow Palette Diverging Palette
2D
3D
92%62%
71%39%

55. data.uw.edu/seminar

56. Adventures in
Data Visualization
Jeffrey Heer @jeffrey_heer
Univ. of Washington + Trifacta