Gallery: Histogram

An extension of the concept of histogram to display the colour image content.

A modification of the basic histogram in order to display information for two variables. In this case, the example shows the distribution of some reaction times by gender.

A block histogram lets you see the distribution of numeric values in a data set. The x-axis is divided into 'bins' that correspond to value ranges. Each item in the data set is drawn as a rectangular block, and the blocks are piled into the bins to show how many values in each range. To see the exact value of a block move your mouse over it. If you are charting more than one dimension use the menu at the bottom of the graph to choose which to show. You can also highlight a block by clicking - use control-click to highlight more than one, and click again to deselect). Highlights are helpful for pointing to particular items when you make a comment or following a particular item as you change the x-axis using the menu at bottom.

This is a lattice graph, that allows the presentation histograms for more than one variable.

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.

A conditioning plot with splines added. It allows the visualisation of a variable distribution conditional on the values of the relevant groups of interest.

Plot of the probability density function with emphasis on the highest densities.

Competitiveness Index in rural areas, 2006. The distribution curve in each graph hints at the overall performance and the spread of scores. The skew to the left or higher ranks on both the Overall Index of Competitiveness and the Input measures and the shorter tail confirming greater signs of health in rural local authorities on these measures, than the skew to the right or lower ranks and longer tail on the Output and Outcome measures.

US Consumer Price Index through November 2008.

A bar plot that allows the combination of multiple histograms and visualisation of several variables.

A complex graph for presenting detailed population about population growth. It integrates other visualisation types: Histograms, representation of the quantile regressions, and boxplots for the residual values.

Ranking Histogram for conception rate of under 18 year olds (per 1,000 15-17 year olds) in 2002-04 for all LAs in England.

This is a circular histogram plot which displays directional data and the frequency of each class. It is widely used in geography, geology and other earth sciences.

This visualisation integrates the capabilities of histograms, scatterplots and dispersion indicators in a single graph with interactive features.

This graph combines histograms and scatterplots.

This type of graph is a modification of the histogram In the example, the distribution of the treatment outcome for an arthritis blind trial conducted in 1988 is plotted against age.

This visualisation is a variation of the concept of histograms, combining observed and predicted distributions in a simple way.