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Contour plot: A topographical map drawn from data comprising observations on the three variables. One variable is represented on horizontal axis and the second variable is represented on the vertical axis. The third variable is represented by the isolines. These plots are many times helpful in data analysis, especially when the searching for maxima or minima in such type of data. The plots are most often taken in use to display the graphically bivariate distributions in which case the third variable is value of the probability density function corresponding to the values of the two variables. An alternative method or technique of displaying the same material is given by the perspective plot in which the values on third variable are represented by the series of lines constructed to give the three-dimensional view of data. The figure 43 drawn above gives examples of these plots using the birth and death rate data from the number of nations with a kernel density estimator used to calculate or measure the bivariate distribution.
hello I have a dataset including both categorical & numerical variable for market segmentation.how can i cluster them via k-means in matlab? thank you
data modelling
Bivariate boxplot : A bivariate analogue of boxplot in which the inner area contains 50%of the data, and a 'fence' helps to identify the potential outliers. Robust methods or techn
Length-biased data is a data which arise when the probability that an item is sampled is proportional to its own length. A main example of this situation occurs in the renewal the
Formal graphical representation of the "causal diagrams" or the "path diagrams" where the relationships are directed but acyclic (that is no feedback relations allowed). Plays an
The GRE has a combined verbal and quantitative mean of 1000 and a standard deviation of 200.
This is the branch of mathematics which deals with the theory of contests between two or more players under the specified sets of rules. The subject supposes a statistical aspect w
I have a problem I am trying to solve. An oil company thinks that there is a 60% chance that there is oil in the land they own. Before drilling they run a soil test. When there is
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
Committees to monitor the accumulating data from the clinical trials. Such committees have chief responsibilities for ensuring the continuing safety of the trial participants, rele
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