Lie Factor - Revision history

Dannyking: Created and uploaded a new image for the calculation in example 1 (the previous formula was incorrect: upside down and with incorrect value)

2010-04-12T10:10:33Z

Created and uploaded a new image for the calculation in example 1 (the previous formula was incorrect: upside down and with incorrect value)

← Older revision		Revision as of 10:10, 12 April 2010
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	[[Image:~~lie_factor_example1~~.~~jpg~~\|Example1 for the Lie Factor]]		[[Image:Lie_factor.png\|Example1 for the Lie Factor]]

	~~(The formula contains mistakes: 17.5 -> 27.5 and it should be upside down, i.e., visual effect / data effect.)~~
	===Example 2:===		===Example 2:===

2010-04-08T09:16:53Z

← Older revision		Revision as of 09:16, 8 April 2010
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	[[Image:lie_factor_example1.jpg\|Example1 for the Lie Factor]]		[[Image:lie_factor_example1.jpg\|Example1 for the Lie Factor]]

			(The formula contains mistakes: 17.5 -> 27.5 and it should be upside down, i.e., visual effect / data effect.)
	===Example 2:===		===Example 2:===

2006-12-06T12:53:25Z

Moved to Glossary

← Older revision		Revision as of 12:53, 6 December 2006
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	[Friendly, 2005] Michael Friendly, The Lie Factor, Department of Mathematics and Statistics, Toronto, Last updated: February 23, 2002, Retrieved at: October 24, 2005, http://www.math.yorku.ca/SCS/Gallery/lie-factor.html		[Friendly, 2005] Michael Friendly, The Lie Factor, Department of Mathematics and Statistics, Toronto, Last updated: February 23, 2002, Retrieved at: October 24, 2005, http://www.math.yorku.ca/SCS/Gallery/lie-factor.html



			[[Category:Glossary]]

2006-12-06T12:52:11Z

Moved to Glossary

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	~~==The Lie Factor==~~

	=== Definition ===		=== Definition ===

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	Edward Tufte, Prof. at the Yale University, defined the “Lie Factor” in his book “The Visual Display of Quantitative Information” in 1983.		Edward Tufte, Prof. at the Yale University, defined the “Lie Factor” in his book “The Visual Display of Quantitative Information” in 1983.

	He states the principle that ~~''"~~The representation of numbers, as physically measured on the surface of the graphic itself, should be directly proportional to the quantities represented.~~"''~~ [Tufte, 1991]		He states the principle that
			{{Quotation\|The representation of numbers, as physically measured on the surface of the graphic itself, should be directly proportional to the quantities represented.\|[Tufte, 1991]}}

2006-12-06T12:51:20Z

Teaching:TUW - UE InfoVis WS 2005/06 - Gruppe G4 - Aufgabe 1 - Lie Factor moved to Lie Factor

← Older revision		Revision as of 12:51, 6 December 2006
(No difference)

2005-11-02T10:53:39Z

Example 1:

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	===Example 1:===		===Example 1:===

	This graphic was originally published by the NY Times. It tries to show the mandated fuel economy ~~standars~~ for autos set by the US Department of Transportation. [Friendly, 2005]		This graphic was originally published by the NY Times. It tries to show the mandated fuel economy standards for autos set by the US Department of Transportation. [Friendly, 2005]

2005-11-02T10:52:59Z

Example 2:

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	::::::::[Tufte, 1991]		::::::::[Tufte, 1991]

			An important point for producing informative graphs, is the avoidance of ''confounding design variation with data variation'' [Friendly, 2005]. In other words, ''the scale of the graphic should always correspond to changes in the data being represented'' [Friendly, 2005]. The graph shown in this example breaks that rule ''by using area to show one-dimensional data, giving a lie factor = 2.8'' [Friendly, 2005].
	~~Another key element in making~~ informative graphs is ~~to avoid~~ confounding design variation with data variation. ~~This means that changes in~~ the scale of the graphic should always correspond to changes in the data being represented. ~~This~~ graph ~~violates~~ that ~~principle~~ by using area to show one-dimensional data, giving a lie factor = 2.8. [Friendly, 2005]


	----		----

2005-11-02T10:43:40Z

Example 1:

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	===Example 1:===		===Example 1:===

	This ~~graph, from~~ the NY Times~~, purports~~ to show the mandated fuel economy ~~standards~~ set by the US Department of Transportation.		This graphic was originally published by the NY Times. It tries to show the mandated fuel economy standars for autos set by the US Department of Transportation. [Friendly, 2005]


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	The standard required an increase in mileage from 18 to 27.5, an increase of 53%. The magnitude of increase shown in the graph is 783%, which results in a lie factor of 14.8! [Friendly, 2005]		''The standard required an increase in mileage from 18 to 27.5, an increase of 53%. The magnitude of increase shown in the graph is 783%, which results in a lie factor of 14.8!'' [Friendly, 2005]

	The following formula shows the exact calculation:		The following formula shows the exact calculation:

2005-10-28T12:44:53Z

Example 1:

← Older revision		Revision as of 12:44, 28 October 2005
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	The standard required an increase in mileage from 18 to 27.5, an increase of 53%. The magnitude of increase shown in the graph is 783%, which results in a lie factor of 14.8!		The standard required an increase in mileage from 18 to 27.5, an increase of 53%. The magnitude of increase shown in the graph is 783%, which results in a lie factor of 14.8! [Friendly, 2005]

	The following formula shows the exact calculation:		The following formula shows the exact calculation:

2005-10-28T12:44:44Z

Example 2:

← Older revision		Revision as of 12:44, 28 October 2005
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	Another key element in making informative graphs is to avoid confounding design variation with data variation. This means that changes in the scale of the graphic should always correspond to changes in the data being represented. This graph violates that principle by using area to show one-dimensional data, giving a lie factor = 2.8.		Another key element in making informative graphs is to avoid confounding design variation with data variation. This means that changes in the scale of the graphic should always correspond to changes in the data being represented. This graph violates that principle by using area to show one-dimensional data, giving a lie factor = 2.8. [Friendly, 2005]