Visualization Techniques for Scalar Entities

One - Dimensional Domain

The data is sampled from a function F(x1).

Line Graph: ES1

Draw a line through a set of data points F(x1). A consideration is the interpolation through the data points. It might be a straight line, or a spline curve, or it might fit some other model.

Multiple Line Graphs: EmS1

Display several plots on the same graph, using techniques to distinguish the different data sets. These can include the following:

Bar Chart: ES{1}

Depicts values by length of bars drawn horizontally or vertically. Pie charts are similar to bar charts.

Histogram: ES[1]

The data elements are placed into bins if they are in certain value ranges. Then the histogram shows the number of elements in each bin by drawing bars of different lengths. Click here for information on the IRIS Explorer Histogram module.

If the underlying model is known for the above types of plots, then this might also be constructed If it is not known then a cubic spline interpolation can be used to connect the points. Error in data points may be shown by using error bars or a similar method. Usually the underlying method involves one or more parameters which can be varied so as to more closely fit the experimental data. The parameters may be varied and then some measure of closeness of fit is computed and the process iterated until the "best" set of parameters is found. A good "closeness of fit" method is to minimize the squares of the differences between the experimental and theoretical curves.


Two-Dimensional Domain

Three-Dimensional Domain


Visualization Techniques for Data Display
HyperVis Table of Contents

Last modified on April 05, 1999, G. Scott Owen, owen@siggraph.org