bad charts
DESCRIPTION
Bad Charts. Matt Arnold. Moiré. The Visual Display of Quantitative Information. Edward R. Tufte. “ Chartjunk ”. Arthur H Miller, Edie N Goldenberg, Lutz Erbring , “Type-Set Politics: Impact of Newspapers on Public Confidence,” American Political Science Review, 73 (1979), 67-84. - PowerPoint PPT PresentationTRANSCRIPT
Bad ChartsMatt Arnold
Moiré
The Visual Display of Quantitative InformationEdward R. Tufte
Arthur H Miller, Edie N Goldenberg, Lutz Erbring, “Type-Set Politics: Impact of Newspapers on Public Confidence,” American Political Science Review, 73 (1979), 67-84
“Chartjunk”
LIE FACTOR
“Lie factors greater than 1.05 or less than 0.95 indicate substantial distortion, far beyond minor
inaccuracies in plotting”
Lie factor =Size of effect shown in graphicSize of effect in data
Lie factor: 14.8
New York Times, 9th August 1978, p D-2
Line increase: 783%Actual increase: 53%
Lie Factor: 9.4
Time, 9th April
1979, p57Volume increase: 4280%Actual increase: 454%
“This may well be the worst graphic ever to find its way into print”
American Education, 1970