Plotting two different sets of x and y value

PLOTTING TWO DIFFERENT SETS OF X AND Y VALUES IN THE SAME CHART... 

Suppose we have two sets of data values, x and y, and we wish to determine what correlation (if any) exists between them. For example, imagine that we are performing a simulation of a fluid in a capillary, and that we wish to determine the correlation between the absolute velocity of an atom and its distance from the wall of the tube. One way to do this would be to plot the sets of values as a graph. A correlation function (also known as a correlation coefficient) provides a numerical value that encapsulates the data and quantifies the strength of the correlation. A series of simulations with different capillary diameters could then be compared by examining the correlation coefficients. A variety of correlation functions can be defined, a commonly used one being ... 

Fig. 44.12. (a) and (b) The output value (y) of the MLF network as a function of the input value (x) with two different weight settings, (c) and (d) The contour plots of the output value of an MLF network in the specified input space with two different weight settings. 

X axis, with the corresponding values on y. An alternative, also widely used, is to plot 2D representations of pairs of two original dimensions. There are also methods that produce different curves based on the data points values, for example, the components of data vectors are used as coefficients of orthogonal sinusoids, which are then added together. The most important drawback of such methods is that they do not reduce the amount of data, and thus it cannot be used effectively with large, high-dimensional data sets. However, they can be used for illustrating data summaries. 

---