magic lenses for interactive database visualization ken fishkin softbook press, inc

41
Magic Lenses for Interactive Database Visualization Ken Fishkin SoftBook Press, Inc.

Upload: kassandra-lolley

Post on 16-Dec-2015

213 views

Category:

Documents


1 download

TRANSCRIPT

Page 1: Magic Lenses for Interactive Database Visualization Ken Fishkin SoftBook Press, Inc

Magic Lenses for Interactive Database Visualization

Ken Fishkin

SoftBook Press, Inc.

Page 2: Magic Lenses for Interactive Database Visualization Ken Fishkin SoftBook Press, Inc

Magic Lenses - Ken Fishkin - Nov. 2000 2

Standard WIMP

all windows are opaque, self-contained exception: zoom lenses are nice

Page 3: Magic Lenses for Interactive Database Visualization Ken Fishkin SoftBook Press, Inc

Magic Lenses - Ken Fishkin - Nov. 2000 3

Magic Lenses

Magic Lenses are Windows which know about what’s below them, and/or what’s above them.

They can alter input, output, or both. They can be composed

Page 4: Magic Lenses for Interactive Database Visualization Ken Fishkin SoftBook Press, Inc

Magic Lenses - Ken Fishkin - Nov. 2000 4

Magic Lenses - click through

wouldn’t it be nice if I could “click through” a zoom lens?

Page 5: Magic Lenses for Interactive Database Visualization Ken Fishkin SoftBook Press, Inc

Magic Lenses - Ken Fishkin - Nov. 2000 5

Magic Lenses - composable

and even nicer if they could compose?

Page 6: Magic Lenses for Interactive Database Visualization Ken Fishkin SoftBook Press, Inc

Magic Lenses - Ken Fishkin - Nov. 2000 6

Magic Lenses - semantic

and even nicer if they could be non-graphical?

Page 7: Magic Lenses for Interactive Database Visualization Ken Fishkin SoftBook Press, Inc

Magic Lenses - Ken Fishkin - Nov. 2000 7

Magic Lenses - inter-app

And even nicer if semantics were F(other windows)?

Page 8: Magic Lenses for Interactive Database Visualization Ken Fishkin SoftBook Press, Inc

Magic Lenses - Ken Fishkin - Nov. 2000 8

To Recap

Magic Lenses are Windows which know about what’s below them, and/or what’s above them.

They can alter input, output, or both. They can be composed 3D possible

Page 9: Magic Lenses for Interactive Database Visualization Ken Fishkin SoftBook Press, Inc

Magic Lenses - Ken Fishkin - Nov. 2000 9

Overall flow

(many)

Page 10: Magic Lenses for Interactive Database Visualization Ken Fishkin SoftBook Press, Inc

Magic Lenses - Ken Fishkin - Nov. 2000 10

How do you implement it?

Purely graphical lenses “trap” calls to event manager (input), graphics

engine (output) Semantic lenses

shared data, and/or protocol for passing objects Speed a big issue

lots and lots of caching

Page 11: Magic Lenses for Interactive Database Visualization Ken Fishkin SoftBook Press, Inc

Magic Lenses - Ken Fishkin - Nov. 2000 11

What This Buys You

Multiple foci + context

Page 12: Magic Lenses for Interactive Database Visualization Ken Fishkin SoftBook Press, Inc

Magic Lenses - Ken Fishkin - Nov. 2000 12

“Reify” modes into objects

Page 13: Magic Lenses for Interactive Database Visualization Ken Fishkin SoftBook Press, Inc

Magic Lenses - Ken Fishkin - Nov. 2000 13

Composability gives you “spatial Unix pipes”. Let’s use it for data visualization...

Page 14: Magic Lenses for Interactive Database Visualization Ken Fishkin SoftBook Press, Inc

Magic Lenses - Ken Fishkin - Nov. 2000 14

Traditional Database Queries

Use a Special Language select title from movies where lead_actor=‘Connery, Sean’ and (year < 1960 or year > 1975)

Batch, non-visual

Page 15: Magic Lenses for Interactive Database Visualization Ken Fishkin SoftBook Press, Inc

Magic Lenses - Ken Fishkin - Nov. 2000 15

Visual Representation of Databases

Map each record to a point on the plane

Since 1854 (at least)

Page 16: Magic Lenses for Interactive Database Visualization Ken Fishkin SoftBook Press, Inc

Magic Lenses - Ken Fishkin - Nov. 2000 16

Dynamic Queries (example 1) One

selector per attribute

Page 17: Magic Lenses for Interactive Database Visualization Ken Fishkin SoftBook Press, Inc

Magic Lenses - Ken Fishkin - Nov. 2000 17

Dynamic Queries (example 2)

Selectors filter the display

Page 18: Magic Lenses for Interactive Database Visualization Ken Fishkin SoftBook Press, Inc

Magic Lenses - Ken Fishkin - Nov. 2000 18

Dynamic Queries (limitations)

designed for a small number of attributes only global filters can’t screen on an attribute more than once no disjunctions limited query set

Page 19: Magic Lenses for Interactive Database Visualization Ken Fishkin SoftBook Press, Inc

Magic Lenses - Ken Fishkin - Nov. 2000 19

Hybrid Techniques

language for ‘leaves’ of the query, visual interface for compound queries Still not all queries supported

ContentContent

DateDate

ContentContent

ContainsContains

is beforeis before

containscontains

Document ManagementDocument Management

05/01/9405/01/94

Visual Recall OSVisual Recall OS

AndAnd OrOr

Page 20: Magic Lenses for Interactive Database Visualization Ken Fishkin SoftBook Press, Inc

Magic Lenses - Ken Fishkin - Nov. 2000 20

Magic Lenses

Movable local filters, which transform the data underneath them in some way, be it visual (magnifying lens), semantic (misspelled words), or other

Page 21: Magic Lenses for Interactive Database Visualization Ken Fishkin SoftBook Press, Inc

Magic Lenses - Ken Fishkin - Nov. 2000 21

Merging Lenses into Queries

Put one attribute selector on a lens.

Page 22: Magic Lenses for Interactive Database Visualization Ken Fishkin SoftBook Press, Inc

Magic Lenses - Ken Fishkin - Nov. 2000 22

Free Wins(1) - local filters

Page 23: Magic Lenses for Interactive Database Visualization Ken Fishkin SoftBook Press, Inc

Magic Lenses - Ken Fishkin - Nov. 2000 23

#2 - repeated attributes

Page 24: Magic Lenses for Interactive Database Visualization Ken Fishkin SoftBook Press, Inc

Magic Lenses - Ken Fishkin - Nov. 2000 24

#3 - arbitrary number of attrs.

Just stack ‘em up.

Page 25: Magic Lenses for Interactive Database Visualization Ken Fishkin SoftBook Press, Inc

Magic Lenses - Ken Fishkin - Nov. 2000 25

Consistent UI

Page 26: Magic Lenses for Interactive Database Visualization Ken Fishkin SoftBook Press, Inc

Magic Lenses - Ken Fishkin - Nov. 2000 26

Query Power

2.5D order of windows implies a composition/evaluation order

Put an AND/OR toggle on the lens to indicate how it should compose: A AND B --> <A,AND> above <B> A OR B --> <A,OR> above <B>

Page 27: Magic Lenses for Interactive Database Visualization Ken Fishkin SoftBook Press, Inc

Magic Lenses - Ken Fishkin - Nov. 2000 27

And/or in action

Page 28: Magic Lenses for Interactive Database Visualization Ken Fishkin SoftBook Press, Inc

Magic Lenses - Ken Fishkin - Nov. 2000 28

Query Power(2)

NOT gets its own lens A AND NOT (B OR C)

<A,AND> <NOT> <B,OR> <C>

Page 29: Magic Lenses for Interactive Database Visualization Ken Fishkin SoftBook Press, Inc

Magic Lenses - Ken Fishkin - Nov. 2000 29

Grouping

Introduce compound (grouped) lenses Allows parenthesizing allows macros Conjunction + Negation + Grouping ==>

support for arbitrary Boolean queries

Page 30: Magic Lenses for Interactive Database Visualization Ken Fishkin SoftBook Press, Inc

Magic Lenses - Ken Fishkin - Nov. 2000 30

Extensions

No need to have just ‘AND’ and ‘OR’ - could have any/all of the 16 possible combinations.

Could just have a ‘NAND’ mode, but that would be non-intuitive. And/Or/Not are most common.

Page 31: Magic Lenses for Interactive Database Visualization Ken Fishkin SoftBook Press, Inc

Magic Lenses - Ken Fishkin - Nov. 2000 31

Fuzzy Selectors

Selectors need not be ‘pass/fail’.

FalseFalse

TrueTrue

FalseFalse

TrueTrue

00

11

00

11

Page 32: Magic Lenses for Interactive Database Visualization Ken Fishkin SoftBook Press, Inc

Magic Lenses - Ken Fishkin - Nov. 2000 32

Selectors over [0..1]

Page 33: Magic Lenses for Interactive Database Visualization Ken Fishkin SoftBook Press, Inc

Magic Lenses - Ken Fishkin - Nov. 2000 33

Numerical Operators

Page 34: Magic Lenses for Interactive Database Visualization Ken Fishkin SoftBook Press, Inc

Magic Lenses - Ken Fishkin - Nov. 2000 34

Fuzzy Composition

Selectors on [0..1] implies composition on [0..1]

Replace AND by MIN, OR by MAX, NOT by complement

Presently, have implemented arithmetic (“DIFF”), statistical (“SQRT”), and fuzzy (“VERY”)

Many others possible

Page 35: Magic Lenses for Interactive Database Visualization Ken Fishkin SoftBook Press, Inc

Magic Lenses - Ken Fishkin - Nov. 2000 35

Fuzzy example

Page 36: Magic Lenses for Interactive Database Visualization Ken Fishkin SoftBook Press, Inc

Magic Lenses - Ken Fishkin - Nov. 2000 36

Missing Data - display

Page 37: Magic Lenses for Interactive Database Visualization Ken Fishkin SoftBook Press, Inc

Magic Lenses - Ken Fishkin - Nov. 2000 37

Missing Data - example

Page 38: Magic Lenses for Interactive Database Visualization Ken Fishkin SoftBook Press, Inc

Magic Lenses - Ken Fishkin - Nov. 2000 38

Missing Data - composition

How do composition operators handle it? We treat it like IEEE NaN

Page 39: Magic Lenses for Interactive Database Visualization Ken Fishkin SoftBook Press, Inc

Magic Lenses - Ken Fishkin - Nov. 2000 39

Meta-Functions

Click ‘through’ the window to send a command to the data underneath.

Page 40: Magic Lenses for Interactive Database Visualization Ken Fishkin SoftBook Press, Inc

Magic Lenses - Ken Fishkin - Nov. 2000 40

Conclusion (1995)

by merging Dynamic Queries with Magic Lenses, we keep the interactive, visual nature of queries, but add more functionality.

Future work: a slicker UI, user studies.

Page 41: Magic Lenses for Interactive Database Visualization Ken Fishkin SoftBook Press, Inc

Magic Lenses - Ken Fishkin - Nov. 2000 41

Conclusion (2000)

If this is so great, why doesn’t everyone use it? Inter-app. Requires lots of “plumbing”, Xerox

licensing. OS X? Intra-app. Requires Xerox licensing. So far SGI

only one determined enough to do it.