27.02.2013 Views

The Visual Display

The Visual Display

The Visual Display

SHOW MORE
SHOW LESS

You also want an ePaper? Increase the reach of your titles

YUMPU automatically turns print PDFs into web optimized ePapers that Google loves.

2 Graphical Integrity<br />

For many people the frrst word that comes to mind when they think<br />

about statistical char* is "lie." No doubt some graphic do distott<br />

the underlying data, making it hard for the viewer to leam the<br />

truth. But data graphics are no different from words in this regard,<br />

for any means ofcommunication can be used to deceive. <strong>The</strong>re<br />

is no reason to believe that graphics are especially vulnerable to<br />

exploitation by lian; in fact, most ofus have pretty good graphical<br />

lie detectors that help us see right through frauds.<br />

Much of twentieth-century thinLing about statistical graphics has<br />

been preoccupied with the quesrion ofhow some amateurish chart<br />

might fool a naive viewer. Other important issues, such as the<br />

use of graphics for serious data analysis, were hrgely ignored.<br />

At the core of the preoccuparion $drh deceptive graphics was the<br />

a$umprion that data gnphics were mainly devices for showing<br />

the obvious to rhe ignorant. It is hard to imagine any doctrine<br />

more likely to stifle inrellectual progres in a field. <strong>The</strong> assumption<br />

led down two fruidess paths in the graphically barren ye:n<br />

from r93o to r97o: First,<br />

"alive,"<br />

thrt graphics had<br />

"com-<br />

to be<br />

municatively dynamic," overdecorated and cxaggerated (otherwise<br />

all the dullards in the audience would fall rsleep in the face<br />

of rhose boriDg statistics). Second, rhat the main task ofgraphical<br />

analysis was to detect and denounce deception (the duliards could<br />

not protect themselves).<br />

<strong>The</strong>n, in the lrte r96os, John Tukey made statistical graphics<br />

respccbble, putting an end to the view that graphics were only<br />

for decorating a few numbers. For here was a world-class dara<br />

analyst spinning of half a dozcn new designs and, more importantly,<br />

using them effective]y to e]?lore complex data.1 Not a<br />

word abour deception; no tortured anempts to consEuct more<br />

"graphical<br />

standards" in a hopeless efort to end all distorions.<br />

Instead, graphics were used as instrumen* for reasoning about<br />

quantiredve information. With this good example, graphical work<br />

has come to flourish.<br />

Ofcourse false graphics are still with us. Deception musr always<br />

be confronted and demolished, even iflie detecrion is no lonqer<br />

ar rhe forefront ofresearch. Craphrcal excellence beg'ns wirh;lling<br />

rhe truth ebout the data.<br />

ljohn \v. Tutey rd Martin B. Wilk,<br />

"Dda<br />

Anllylis &d Sbristica: Tcchniqu6<br />

dd Appro.ch6," id Edward R. Tufte,<br />

ed., <strong>The</strong> Qudtit^tit. Anald' oJ Srict<br />

&otiem Ee.ding, M:s., r9?o), 3?o-<br />

39o; ud]ohr'w. Tukey, "Some<br />

Gr2phic &d S.migmphic Displ.ys."<br />

-l<br />

in<br />

. L. Bnda{t, .d., sldtndut P4?4s ln<br />

Honot oJc.otee w. stud{ot ( m6,

Hooray! Your file is uploaded and ready to be published.

Saved successfully!

Ooh no, something went wrong!