Data Visualization and Graphical Excellence: Techniques and Methods, Slides of Computer Fundamentals

Various aspects of data visualization, including graphical excellence, representing data in 1-d, 2-d, and 3-d, and visualizing data in 4+ dimensions. It also covers the importance of visualization in data exploration and presentation, and discusses common pitfalls to avoid. Examples include visualizations of historical data and scientific data, as well as interactive tools like parallel coordinates and chernoff faces.

Typology: Slides

2012/2013

Uploaded on 01/29/2013

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Visualization and

Data Mining

2

Outline

 Graphical excellence and lie factor

 Representing data in 1,2, and 3-D

 Representing data in 4+ dimensions

 Parallel coordinates

 Scatterplots

 Stick figures

4

Marley, 1885

© www.odt.org , from http://www.odt.org/Pictures/minard.jpg 5 , used by permission Docsity.com

7

Asia at night

8

South and North Korea at night

Seoul, South Korea

North Korea Notice how dark it is

10

Bad Visualization:

Spreadsheet

Year Sales 1999 2, 2000 2, 2001 2, 2002 2, 2003 2,

Sales

2095

2100

2105

2110

2115

2120

2125

2130

1999 2000 2001 2002 2003

Sales

What is wrong with this graph?

11

Bad Visualization:

Spreadsheet with misleading Y –axis

Year Sales 1999 2, 2000 2, 2001 2, 2002 2, 2003 2,

Sales

2095

2100

2105

2110

2115

2120

2125

2130

1999 2000 2001 2002 2003

Sales

Y-Axis scale gives WRONG impression of big change

13

Lie Factor

sizeof effect in data
sizeof effect shown in graphic
Lie Factor
  1. 8

  2. 528

  3. 833

18

( 27. 5 18. 0 )

  1. 6

( 5. 3 0. 6 )

= = −

=

Tufte requirement: 0.95<Lie Factor<1.

(E.R. Tufte, “The Visual Display of Quantitative Information”, 2nd edition)

14

Tufte’s Principles of

Graphical Excellence

 Give the viewer

 the greatest number of ideas

 in the shortest time  with the least ink in the smallest space.

 Tell the truth about the data!

(E.R. Tufte, “The Visual Display of Quantitative Information”, 2nd edition)

16

1-D (Univariate) Data

 Representations

7

5

3

1

0 20

Mean

low Middle 50% high

Tukey box plot

Histogram

17

2-D (Bivariate) Data

 Scatter plot, …

price

mileage

19

Lie Factor=14.

(E.R. Tufte, “The Visual Display of Quantitative Information”, 2nd edition)

20

3-D image

(requires 3-D blue and red glasses)

Taken by Mars Rover Spirit, Jan 2004