Graphics Reference
In-Depth Information
Figure
.
.
Bivariate kernel density estimate of Galton's data, using jittered points for the data, and
a smoothed loess curve for
E(
y
x
)
(solid) and regression line (dashed)
Fig.
.
. Rather, he drew his contours to the smoothed data by eye and brain (as he
had done earlier with maps of weather patterns), with knowledge that he could, as
one might say today, trade some increase in bias for a possible decrease in variance,
and so achieve a greater smoothing.
Final Thoughts
1.4
hischapteristitled'Abriefhistory...'outofrecognitionthatititimpossibletodo
full justice to the history of data visualization in such a short account. his is doubly
so because I have attempted to present a broad view spanning the many areas of
application in which data visualization took root and developed. hat being said, it
is hoped that this overview will lead modern readers and developers of graphical
methods to appreciate the rich history behind the latest hot new methods. As we
have seen, almost all current methods have a much longer history than is commonly
thought. Moreover, as I have surveyed this work and travelled to many libraries to
view original works and read historical sources, I have been struck by the exquisite
