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Presenting Data in Tables and Charts

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... Tables, the Ogive. Presentation Topics ... Ogive. Tables. 41, 24, 32, 26, 27, 27, 30, 24, 38, 21. 21, 24, 24, 26, 27, ... The Ogive (Cumulative % Polygon) ... – PowerPoint PPT presentation

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Title: Presenting Data in Tables and Charts


1
Anna T. Waggener, Ph.D. Institutional
Assessment United States Army War College
Principles of Graphical Excellence Best Paper
ALAIR April 56, 2001 AIR June 2-5, 2002,
Toronto Focus-IR, February 21, 2003
2
The Visual Display of Quantitative Information
  • Leading authority Edward R. Tufte

3
History of Graphical Development
  • First geographic maps were drawn on clay tablets.
  • 17th Century combined map skills and
    statistical skills to construct maps.
  • Trade winds and monsoons on a world map.
  • Chart patterns of disease.
  • Later sophistication showed distribution of 1.3
    million galaxies.

4
Graphical excellence consists of the efficient
communication of complex quantitative ideas.
5
Presentation Topics
  • Organizing Numerical Data
  • The Ordered Array and Stem-leaf Display
  • Tabulating and Graphing Numerical Data
  • Frequency Distributions Tables, Histograms,
    Polygons
  • Cumulative Distributions Tables, the Ogive

6
Presentation Topics (continued)
  • Tabulating and Graphing Univariate Categorical
    Data
  • The Summary Table
  • Bar and Pie Charts, the Pareto Diagram
  • Tabulating and Graphing Bivariate Categorical
    Data
  • Contingency Tables
  • Side by Side Bar charts
  • Graphical Excellence and Common Errors in
    Presenting Data

7
At their best, graphics are instruments for
reasoning about quantitative information.
8
Organizing Numerical Data
Numerical Data
41, 24, 32, 26, 27, 27, 30, 24, 38, 21
Frequency Distributions Cumulative Distributions
Ordered Array
21, 24, 24, 26, 27, 27, 30, 32, 38, 41
2 144677 3 028 4 1
Ogive
Histograms
Stem and Leaf Display
Polygons
Tables
9
Organizing Numerical Data
  • Data in Raw form (as collected)
  • 24, 26, 24, 21, 27, 27, 30, 41, 32, 38
  • Date Ordered from Smallest to Largest
  • 21, 24, 24, 26, 27, 27, 30, 32, 38, 41
  • Stem and Leaf display

2 1 4 4 6 7 7
3 0 2 8
4 1
10
Design is choice.
11
Tabulating and Graphing Numerical Data
Numerical Data
41, 24, 32, 26, 27, 27, 30, 24, 38, 21
Frequency Distributions Cumulative Distributions
Ordered Array
21, 24, 24, 26, 27, 27, 30, 32, 38, 41
2 144677 3 028 4 1
Ogive
Histograms
Stem and Leaf Display
Tables
Polygons
12
Tabulating Numerical Data Frequency Distributions
(continued)
Data in ordered array 12, 13, 17, 21, 24, 24,
26, 27, 27, 30, 32, 35, 37, 38, 41, 43, 44, 46,
53, 58
Relative Frequency
Percentage
Class Frequency
10 but under 20 3
.15 15 20 but under 30 6
.30 30 30
but under 40 5 .25
25 40 but under 50
4 .20
20 50 but under 60 2
.10 10 Total
20 1 100
13
Graphing Numerical Data The Histogram
Data in ordered array 12, 13, 17, 21, 24, 24,
26, 27, 27, 30, 32, 35, 37, 38, 41, 43, 44, 46,
53, 58
No Gaps Between Bars
Class Midpoints
14
Graphing Numerical Data The Frequency Polygon
Data in ordered array 12, 13, 17, 21, 24, 24,
26, 27, 27, 30, 32, 35, 37, 38, 41, 43, 44, 46,
53, 58
Class Midpoints
15
Tabulating Numerical Data Cumulative Frequency
Data in ordered array 12, 13, 17, 21, 24, 24,
26, 27, 27, 30, 32, 35, 37, 38, 41, 43, 44, 46,
53, 58
Cumulative Cumulative Class
Frequency Frequency 10
but under 20 3
15 20 but under 30 9
45 30 but under 40 14 70
40 but under 50 18
90 50 but under 60 20
100
16
Graphing Numerical Data The Ogive (Cumulative
Polygon)
Data in ordered array 12, 13, 17, 21, 24, 24,
26, 27, 27, 30, 32, 35, 37, 38, 41, 43, 44, 46,
53, 58
17
Tabulating and Graphing Categorical Data
Univariate Data
Categorical Data
Graphing Data
Tabulating Data The Summary Table
Pie Charts
Pareto Diagram
Bar Charts
18
Summary Table (University Revenues)
Revenue Category Amount Percentage (in
thousands ) Patient Services 46.5
42.27 Tuition/fees 32
29.09 Appropriations 15.5
14.09 Grants/Contracts 16
14.55 Total 110 100
Variables are Categorical.
19
Graphing Categorical Data Univariate Data
Categorical Data
Graphing Data
Tabulating Data The Summary Table
Pie Charts
Pareto Diagram
Bar Charts
20
Bar Chart Enrollment Summary
21
Pie Chart (for a factbook)
Students by Classification
Seniors 15
Freshmen42
Sophomores 14
Percentages are rounded to the nearest percent.
Juniors29
22
Pareto Diagram
Axis for bar chart shows in each category
Axis for line graph shows cumulative
23
Tabulating and Graphing Bivariate Categorical Data
  • Contingency Tables
  • Side by Side Charts

24
Tabulating Categorical Data Bivariate Data
Contingency Table Enrollment by College
Enrollment AS BUS NRS
Total Category Freshmen 46
55 27 128 Sophomores 32
44 19 95 Juniors 15
20 13
48 Seniors 16 28
7 51 Total
109 147 66 322
25
Graphing Categorical Data Bivariate Data
Side by Side Chart
26
Principles of Graphical Excellence
  • Well designed presentation of data that
    provides
  • Substance
  • Statistics
  • Design
  • Communicates complex ideas with clarity,
    precision and efficiency
  • Gives the largest number of ideas in the most
    efficient manner
  • Almost always involves several dimensions
  • Requires telling the truth about the data

27
Data-Ink Ratio
  • Data information
  • Total ink used to print the graphic

28
Much of twentieth-century thinking about
statistical graphics has been preoccupied with
the question of how some amateurish chart might
fool a naive viewer.
29
Errors in Presenting Data
  • Using chart junk
  • No relative basis
  • In comparing data
  • Batches
  • Compressing the
  • Vertical axis
  • No zero point on the
  • Vertical axis

30
Chart Junk
?
Good Presentation
Bad Presentation
Minimum Wage
Minimum Wage

1960 1.00
4
1970 1.60
2
1980 3.10
0
1990 3.80
1960
1970
1980
1990
31
Lie Factor
  • Size of effect shown in graphic
  • Size of effect in data

32
No Relative Basis
?
Bad Presentation
Good Presentation
As received by students.
As received by students.
Freq.

30
300
200
???
???
10
0
??
FR
SO
JR
SR
FR
SO
JR
SR
FR Freshmen, SO Sophomore, JR Junior, SR
Senior
33
Compressing Vertical Axis
?
Bad Presentation
Good Presentation
Quarterly Income
Quarterly Income


50
200
25
100
0
0
Q1
Q2
Q4
Q1
Q2
Q3
Q4
Q3
34
No Zero Point on Vertical Axis
?
Good Presentation
Bad Presentation
Monthly Expenses
Monthly Expenses


45
45
42
42
39
39
36
36
0
J
F
M
A
M
J
J
F
M
A
M
J
Graphing the first six months of sales.
35
No Zero Point on Vertical Axis
?
Good Presentation
Bad Presentation
Monthly Expenses
Monthly Expenses


45
60
42
40
20
39
0
36
J
F
M
M
J
J
F
M
A
M
J
A
Graphing the first six months of sales.
36
Main defense of the lying graphic....
  • Well, at least it was approximately correct, we
    were just trying to show the general direction of
    change.

37
Presentation Summary
  • Organized Numerical Data
  • The Ordered Array and Stem-leaf Display
  • Tabulated and Graphed Numerical Data
  • Frequency Distributions Tables, Histograms,
    Polygons
  • Cumulative Distributions Tables, the Ogive

38
Presentation Summary (continued)
  • Tabulated and Graphed Univariate Categorical
    Data
  • The Summary Table
  • Bar and Pie Charts, the Pareto diagram
  • Tabulated and Graphed Bivariate Categorical Data
  • Contingency Tables
  • Side by Side charts
  • Discussed Graphical Excellence and Common Errors
    in Presenting Data

39
There remain, however, many other consideration
in the design of statistical graphics not only
of efficiency, but also of complexity, structure,
density, and even beauty.
40
Without data, it is anyones
opinion. Author unknown
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