Post on 24-Dec-2015
GraphingA Practical Art
Graphing ExamplesCategorical Variables
Table
Pie ChartFavorite Pizza Delivery: Fall 2011 to Fall 2012
Papa JohnsPizza HutBrunosMarcosDominosRoccosBarnabysNon Response
Pie ChartFavorite Pizza Delivery: Fall 2011 to Fall 2012
Papa JohnsPizza HutBrunosMarcosDominosRoccosBarnabysNon Response
Pie ChartFavorite Pizza Delivery: Fall 2011 to 2012
Papa JohnsPizza HutBrunosMarcosDominosRoccosBarnabysNon Response
Pie ChartFavorite Pizza Delivery: Fall 2011 to 2012
Papa JohnsPizza HutBrunosMarcosDominosRoccosBarnabysNon Response
Pie ChartFavorite Pizza Delivery: Fall 2011 to Fall 2012
Papa JohnsPizza HutBrunosMarcosDominosRoccosBarnabysNon Response
Papa Johns
Pizza Hut
Brunos
Marcos
Dominos
Roccos
Barnabys
Non Response
Pie ChartFavorite Pizza DeliveryFall 2011 to Fall 2012
Favorite Pizza DeliveryFall 2011 to Fall 2012
Papa Johns
Pizza Hut
Brunos
Marcos
Dominos
Roccos
Barnabys
Non Response
Pie ChartFav Delivery: Fall ‘11
Fav Delivery: Spring ‘12
Fav Delivery: Fall ‘12
Bar Graph
Papa Johns
Pizza Hut
Brunos
Marcos
Dominos
Roccos
Barnabys
Non Response
0 5 10 15 20 25
Favorite Pizza Delivery: Fall 2011 to Fall 2012
Bar Graph (Column Graph in Excel)
Papa Johns
Pizza Hut
Brunos
Marco
s
Dominos
Roccos
Barnabys
Non Response
0
5
10
15
20
25
Favorite Pizza Delivery: Fall 2011 to Fall 2012
3D Bar GraphHow many picked Marcos?
Papa Johns
Pizza Hut
Brunos
Marco
s
Dominos
Roccos
Barnabys
Non Response
0
5
10
15
20
25
Favorite Pizza Delivery: Fall 2011 to Fall 2012
Bar Graph: Clustered
Papa Johns
Pizza Hut
Brunos
Marco
s
Dominos
Roccos
Barnabys
Non Response
0123456789
Favorite Pizza Delivery
Fall 2011Spring 2012Fall 2012
Bar Graph: Stacked
Papa Johns
Pizza Hut
Brunos
Marco
s
Dominos
Roccos
Barnabys
Non Response
0
5
10
15
20
25
Favorite Pizza Delivery
Fall 2012Spring 2012Fall 2011
Graphing ExamplesQuantitative Variables
Stem and Leaf Plot Number of Windows Fall 2011 to Fall
20120 7, 91 2, 4, 5, 7, 9, 92 0, 1, 3, 7, 73 0, 4, 54 556 0
Stem and Leaf Plot Number of Windows: Fall 2011 to Fall 2013
0 1,1,7,8,8,91
0,0,0,0,1,1,1,1,1,2,2,3,3,3,3,3,4,4,4,4,4,5,5,5,5,5,5,6,6,6,6,6,6,7,7,7,8,8,8,8,8,9,92
0,0,0,0,0,0,0,0,0,1,1,1,1,2,2,2,3,3,3,4,4,5,5,5,5,5,5,6,6,6,7,7,7,7,7,8,8,93 0,0,0,0,0,0,0,0,0,0,1,1,2,2,2.5,3,4,5,5,5,5,4 0,0,0,0,0,0,0,2,5,8,5 0,06 0,07 58 0910 0
*1 Non Response & 1 Non Adherer
Stem and Leaf Plot Number of Windows: Fall 2011 to Fall 2013
0 1,10 7,8,8,91 0,0,0,0,1,1,1,1,1,2,2,3,3,3,3,3,4,4,4,4,4
71 5,5,5,5,5,5,6,6,6,6,6,6,7,7,7,8,8,8,8,8,9,9 7
52 0,0,0,0,0,0,0,0,0,1,1,1,1,2,2,2,3,3,3,4
8 02 5,5,5,5,5,5,6,6,6,7,7,7,7,7,8,8,9
83 0,0,0,0,0,0,0,0,0,0,1,1,2,2,2.5,3,4
93 5,5,5,5,
94 0,0,0,0,0,0,0,210 04 5,8,5 0,056 0,06
Histogram
0 to 24 25 to 49 50 to 74 75 to 99 100 to 1240
10
20
30
40
50
60
70
80
Number of Windows Fall 2011 to Fall 2013
Number of Windows
Vote
s
Histogram
1 to 25 26 to 50 51 to 75 76 to 1000
10
20
30
40
50
60
70
80
Number of Windows Fall 2011 to Fall 2013
Number of Windows
Vote
s
Histogram
1 to 20 21 to 40 41 to 60 61 to 80 81 to 1000
10
20
30
40
50
60
70
Number of Windows Fall 2011 to Fall 2013
Number of Windows
Vote
s
Histogram
1 to 10 11 to 20
21 to 30
31 to 40
41 to 50
51 to 60
61 to 70
71 to 80
81 to 90
91 to 100
0
10
20
30
40
50
60
Number of Windows Fall 2011 to Fall 2013
Number of Windows
Vote
s
Dot Plot
0 10 20 30 40 50 60 70 80 90 1000
2
4
6
8
10
12
Number of Windows Fall 2011 to Fall 2013
Number of Windows
Coun
t
What’s Wrong?
1-15 16-20 21-30 31-600
1
2
3
4
5
6
Number of Windows Fall 2011 to Fall 2012
Scatter Plots
When Not to Zoom
0 10 20 30 40 50 60 70 800.000.100.200.300.400.500.600.700.800.901.00
Density of 6 ILs(Legend was typed out in the Figure Caption…)
Temperature (°C)
Den
sity
(g
/ m
L)
When to Zoom
0 10 20 30 40 50 60 70 800.86
0.87
0.88
0.89
0.90
0.91
0.92
Density of 6 ILs(Legend was typed out in the Figure Caption…)
Temperature (°C)
Den
sity
(g
/ m
L)
0.0 0.2 0.4 0.6 0.8 1.0 1.2 1.40.0
0.5
1.0
Absorption of CO2 into P66614-Ile at 22oCExperimental Data versus the Theoretical Equation
Pressure of CO2 (bar)
Mol
es C
O2
/ M
oles
IL
Numbers from Measurement = Points, No LineNumbers from Equation = Line, No Points
0 10 20 30 40 50 60 70 80 90 1000
100,000
200,000
300,000
400,000
500,000
600,000
700,000
800,000
Viscosity of P66614-Gly (circles) and P66614-Lys (squares) pure (open) and reacted with CO2 (filled)
Temperature (°C)
Vis
cosi
ty (
cP)
0 10 20 30 40 50 60 70 80 90 1000
1,0002,0003,0004,0005,0006,0007,0008,0009,00010,000
Viscosity of P66614-Gly (circles) and P66614-Lys (squares) pure (open) and reacted with CO2 (filled)
Temperature (°C)
Vis
cosi
ty (
cP)
0 10 20 30 40 50 60 70 80 90 10010
100
1,000
10,000
100,000
1,000,000
Viscosity of P66614-Gly (circles) and P66614-Lys (squares) pure (open) and reacted with CO2 (filled)
Temperature (°C)
Vis
cosi
ty (
cP)
Log Plot (look at y-axis)
Surface Plot
A+ A A- B+ B B- C+ C C-
5
4
3
2
1
2012-3 AP Results5 4 3 2 1