Profile plots is a technique of representing the multivariate data graphically. Each of the observation is represented by a diagram comprising of a sequence of equispaced vertical spikes, with each spike representing one of variables. The length of the given spike is proportional to the magnitude of the variable it represents relative to the maximum magnitude of the variable across all observations available. As an instance, consider the data below depicting the level of air pollution in four cities in the United States along with a number of other climatic and human ecologic variables. The profile plots representing these kind of data are shown in the Figure (a).

Chicago is identified as being very different from other three cities. Another instance of the profile plot is shown in the Figure (b); here the weight profiles over the time for rats in three groups are all given on the same diagram. 

 

 

SO2 = Sulphur dioxide content of air (microgram per cubic metre)

Temp = Average annual temperature (F)

Manuf = Number of manufacturing enterprises employing 20 or more workers

Pop = Population size

Wind = The average annual wind speed (miles per hour)

Precip = Average annual precipitation (miles per hour)

Days = Average number of days with precipitation per year

Posted Date: 7/31/2012 3:29:09 AM | Location : United States

Ask an Expert

Related Discussions:- Profile plots, Assignment Help, Ask Question on Profile plots, Get Answer, Expert's Help, Profile plots Discussions

Write discussion on Profile plots
Your posts are moderated

Write your message here..

Related Questions

Principal components analysis, Principal components analysis is a process ... Principal components analysis is a process for analysing multivariate data which transforms original variables into the new ones which are uncorrelated and account for decreasing

Morbidity, Morbidity is the term used in the epidemiological studies to de... Morbidity is the term used in the epidemiological studies to describe sickness in the human populations. The WHO Expert Committee on the Health Statistics noted in its sixth repor

Free hand or graphical method, methods of measuring trend methods of measuring trend

Regression, calculate the mean yearly value using the average unemployment ... calculate the mean yearly value using the average unemployment rate by month

Sampling issue, Dear Experts, Please note that I''m doing a PhD in Busines... Dear Experts, Please note that I''m doing a PhD in Business management under the title: Technology transfer and competitive advantage in Qatar oil and gas companies. It is a quant

Random success probability, a psychic claims to be able to "feel colors" th... a psychic claims to be able to "feel colors" there are three pieces of colored paper(red, blue,green) he will place his hand on radomly selected pieces while blindfolded. you perfo

Multivariate data, Multivariate data is the data for which each observatio... Multivariate data is the data for which each observation consists of the values for more than one random variable. For instance, measurements on the blood pressure, temperature an

Identifying the necessary and sufficient conditions, You have probably noti... You have probably noticed by now that some of the statements of necessary and sufficient conditions sound more natural than others. For example it seems more natural to express "We

Biplots, Biplots: It is the multivariate analogue of the scatter plots, wh... Biplots: It is the multivariate analogue of the scatter plots, which estimates the multivariate distribution of the sample in a few dimensions, typically two and superimpose on th

Diggle kenward model for dropouts, The model which is applicable to the lon... The model which is applicable to the longitudinal data in which the dropout process might give rise to the informative lost values. Specifically if the study protocol specifies the