Graphing A Practical Art. Graphing Examples Categorical Variables.

GraphingA Practical Art

Graphing ExamplesCategorical Variables

Pie ChartFavorite Pizza Delivery: Fall 2011 to Fall 2012

Papa JohnsPizza HutBrunosMarcosDominosRoccosBarnabysNon Response

Pie ChartFavorite Pizza Delivery: Fall 2011 to 2012


Pie ChartFavorite Pizza Delivery: Fall 2011 to Fall 2012


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


3D Bar GraphHow many picked Marcos?

Papa Johns

Pizza Hut

Brunos

Marco

s

Dominos

Roccos

Barnabys

Non Response

0

5

10

15

20

25


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

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

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

Vote

s

Dot Plot

0 10 20 30 40 50 60 70 80 90 1000

2

4

6

8

10

12


Number of Windows

Coun

t

What’s Wrong?

1-15 16-20 21-30 31-600

1

2

3

4

5

6


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


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


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

Graphing A Practical Art. Graphing Examples Categorical Variables.

Documents

Transcript of Graphing A Practical Art. Graphing Examples Categorical Variables.