A star chart shows data from several variables, usually 3 or more, which all start from the same point. Each spoke of the plot shows one variable. The length of the spoke is proportional to the relation of the data it represents and the other variables that the chart shows. These star charts don't track stars, but are called as such since they take on the appearance of a multi-pointed star at times. This plot shows the results of an observational study concerning a national test in New Zealand.
A similarity matrix is a matrix of data created in order to find similarities between points of the data. This similarity matrix was created as part of a scientific study to map the similarities in gene structure of inbred mice.
A stem and leaf plot is graph which analyzes changes and distribution of data, similar to a histogram. However, steam and leaf plots rely on the original data and not averages. This stem and leaf plot shows the temperatures in Oswego over a period of time.
A box plot groups data into rectangles, which fall into intervals on an x and y axis. The rectangles cover the most common data values. Sometimes these rectangles have lines called "whiskers" which extend from them in the top and bottom. These "whiskers" show data values that are outside of the most common values. This box plot shows the lottery payoffs for 3 different time periods.
A parallel coordinate graph gives a more 3-D view of analyzed data, which takes on the form of lines against a set of parallel lines which each represent different categories for analyzing the data. This image shows a 3D parallel coordinate graph which represents gene expression per cell. The cells are the colored lines, while the genes form the parallel sections in the background.
A triangle plot is a graph which deals with 3 variables which are proportionally calculated against each other and the scales on the side of the triangle. This triangle plot shows the different element percentages in steel at 900 Celsius.
