Extension of a scatterplot to third dimension to represent measurements on sepals and petals of Iris flowers.
A graph designed to visualise the level of agreement between two raters. The black squares represent the observed agreement.
Bagplot : 2D boxplot
A generalisation of the boxplot, this visualisation relies on the median (red star) and the representation of 50% of the observations (dark blue area).
Relationship between non-white population and level of deprivation (with different symbols for city types).
A visualisation to display a variable distribution conditional on the distribution of at least a second variable. In the example, the number of breaks is displayed conditional on the type of wool and the level of tension.
Correlation matrix plot
This visualisation enables the visual representation of a correlation matrix. This particular example is about lawyers' ratings of state judges in the US Superior Court for 1977 on variables such as judicial integrity, demeanour, diligence and others.
A conditioning plot with splines added. It allows the visualisation of a variable distribution conditional on the values of the relevant groups of interest.
A scatterplot looking at the number of years we can expect to live compared with the number of years we can expect to live in good health across the world. In most of the world, life expectancy is longer than it was 20 years ago, but often a smaller percentage of those years will be healthy ones.
Quadrant plot comparing importance and need for improvement on crime targets.
This is a lattice plot that displays scatter plots for three variables grouped in three clusters, in the example. Useful for a quick visualisation of the contingencies of the data set.
Scatterplot: Fully labelled and colour coded
Scatterplot showing relationship between importance and quality of services in Southend. Scatterplot includes label for each of the services as well as a line to denote which services need improving. Services are colour co-ordinated.
A type of scatterplot, this visualisation allows the representation of three variables. In the example, the plot presents the proportions of employment in the primary, secondary and tertiary sectors for 12 European countries in 1978, 1986 and 1997.
Scatterplot is used to compare of driving habits and petrol prices. Each point in the plot is joined to the previous years point, with the drawn path indicating order in time.
Triangular plot area
This graph presents the ratios of the three variables as positions in a triangle.