12
Intelligent Database Systems Lab N.Y.U.S. T. I. M. Extreme Visualization: Squeezing a Billion Records into a Million Pixels Presenter : Jiang-Shan Wang Authors : Ben Shneiderman SIGMOD 2009 國國國國國國國國 National Yunlin University of Science and Technology 1

Intelligent Database Systems Lab N.Y.U.S.T. I. M. Extreme Visualization: Squeezing a Billion Records into a Million Pixels Presenter : Jiang-Shan Wang

Embed Size (px)

Citation preview

Page 1: Intelligent Database Systems Lab N.Y.U.S.T. I. M. Extreme Visualization: Squeezing a Billion Records into a Million Pixels Presenter : Jiang-Shan Wang

Intelligent Database Systems Lab

N.Y.U.S.T.

I. M.

Extreme Visualization:Squeezing a Billion Records into a Million Pixels

Presenter : Jiang-Shan Wang

Authors : Ben Shneiderman

SIGMOD 2009

國立雲林科技大學National Yunlin University of Science and Technology

1

Page 2: Intelligent Database Systems Lab N.Y.U.S.T. I. M. Extreme Visualization: Squeezing a Billion Records into a Million Pixels Presenter : Jiang-Shan Wang

Intelligent Database Systems Lab

N.Y.U.S.T.

I. M.Outline

Motivation

Objective

Atomic visualization

Aggregate visualization

Density plot visualization

Conclusion

Comments

2

Page 3: Intelligent Database Systems Lab N.Y.U.S.T. I. M. Extreme Visualization: Squeezing a Billion Records into a Million Pixels Presenter : Jiang-Shan Wang

Intelligent Database Systems Lab

N.Y.U.S.T.

I. M.Motivation

The appeal of information visualization is to gain a deeper understanding of a important phenomena that are represented in a database.

3

Collins, Christopher. DocuBurst: Document Content Visualization Using Language Structure. Proceedings of IEEE Symposium on Information Visualization, Poster Session. Baltimore (2006).

Page 4: Intelligent Database Systems Lab N.Y.U.S.T. I. M. Extreme Visualization: Squeezing a Billion Records into a Million Pixels Presenter : Jiang-Shan Wang

Intelligent Database Systems Lab

N.Y.U.S.T.

I. M.Objective

4

This paper describes current and proposed solutions (atomic, aggregated, and density plots) that facilitate sense-making for interactive visual exploration of billion record data sets.

Page 5: Intelligent Database Systems Lab N.Y.U.S.T. I. M. Extreme Visualization: Squeezing a Billion Records into a Million Pixels Presenter : Jiang-Shan Wang

Intelligent Database Systems Lab

N.Y.U.S.T.

I. M.Atomic visualization

One marker per data record.

5

Page 6: Intelligent Database Systems Lab N.Y.U.S.T. I. M. Extreme Visualization: Squeezing a Billion Records into a Million Pixels Presenter : Jiang-Shan Wang

Intelligent Database Systems Lab

N.Y.U.S.T.

I. M.Aggregate visualization

One marker per thousand data records.

6

Page 7: Intelligent Database Systems Lab N.Y.U.S.T. I. M. Extreme Visualization: Squeezing a Billion Records into a Million Pixels Presenter : Jiang-Shan Wang

Intelligent Database Systems Lab

N.Y.U.S.T.

I. M.Aggregate visualization

Multivariate Database

Time series

Tree structures

Networks

7

Page 8: Intelligent Database Systems Lab N.Y.U.S.T. I. M. Extreme Visualization: Squeezing a Billion Records into a Million Pixels Presenter : Jiang-Shan Wang

Intelligent Database Systems Lab

N.Y.U.S.T.

I. M.Aggregate visualization

8

Page 9: Intelligent Database Systems Lab N.Y.U.S.T. I. M. Extreme Visualization: Squeezing a Billion Records into a Million Pixels Presenter : Jiang-Shan Wang

Intelligent Database Systems Lab

N.Y.U.S.T.

I. M.Density plot visualization

Color coded areas show users where to explore.

9

Page 10: Intelligent Database Systems Lab N.Y.U.S.T. I. M. Extreme Visualization: Squeezing a Billion Records into a Million Pixels Presenter : Jiang-Shan Wang

Intelligent Database Systems Lab

N.Y.U.S.T.

I. M.Density plot visualization

10

Page 11: Intelligent Database Systems Lab N.Y.U.S.T. I. M. Extreme Visualization: Squeezing a Billion Records into a Million Pixels Presenter : Jiang-Shan Wang

Intelligent Database Systems Lab

N.Y.U.S.T.

I. M.Conclusion

11

The benefits of visual exploration are increasingly well understood, raising expectations of users who want to explore ever larger databases.

If strong collaborations can be arranged between information visualization and database management researchers and implementers, then the use of billion record visualizations could become widespread.

Page 12: Intelligent Database Systems Lab N.Y.U.S.T. I. M. Extreme Visualization: Squeezing a Billion Records into a Million Pixels Presenter : Jiang-Shan Wang

Intelligent Database Systems Lab

N.Y.U.S.T.

I. M.Comments

12

Advantage Understanding lots of visualization.

Drawback

Application Data visualization.