Map and line chart showing Napoleon's retreat from Moscow
Famous visualisation showing Napoleon's advance on Moscow (in brown), and subsequent retreat (in black). The x,y co-ordinates show the armies position over time, with the width of the line representing the size of Napoleon's army. The line-chart at the bottom shows the temperature during the retreat. Note the catastrophic crossing of river Stultienska on November 28th, with the temperature at -20 'Reamur' (-16 Celsius).
Frequency chart showing distribution of income for children and adults.
Time line of the political landscape in Germany
This visualisation combines the characteristics of a time line with those of a bar graph to display the proportional political composition of parties in the government and opposition from 1950 to 2009. There is plenty of information for each data point in the annotations that accompany the graph.
Conditional density plot
This is a type of conditional plot where the distribution of a categorical variable is shown to change over the values of a continuous variables. In the example, the distribution of the variable indicating the distribution of the treatment outcome (for an arthritis blind trial conducted in 1988) is plotted against age.
Flow map of Madrid's cultural budget
A static flow map showing how cultural funding is distributed across areas. As actual funding is shown, a scale is provided to the left of the chart.
For further information in English, see the <a href="http://blog.okfn.org/2009/12/17/visualizar-09/">Open Knowledge Foundation blog</a>.
This visualisation is a combination of an area graph and a time line. The areas here are used to represent the gross box office results of movies relased between 1986 and 2008. The visualisation is enhanced with links to reviews of the movies included.
Correlation matrix plot
This plot shows a correlation matrix, using blue for positive correlation and red for negative. The ellipses represent the level of correlation.
Line area graph
This visualisation presents the number of foreign high school students in the US in 2008 and contrast it with the number of US students going abroad. The total volume of students is represented by the area covered by the lines.
A modification of the radar plot, it is useful in the presentation of multivariate data.
Time line: Globlal media scare stories
This time line relies on the use of area charts on several depth levels. Each chart presents the number of stories per topic against time giving a good sense of the evolution trough time of media coverage of some recent news.
Language usage chart
Charts the usage of certain phrases over time on historical and contemporary sources.
Area graph: meat consumption
This infographic makes use of an eye catching area graph in the shape of cow to display a ranking of meat consumption, expressed in pounds per capita, in 20 countries around the world. The graph is colour coded to differentiate the top and bottom 10 countries. This is supplemented by a visual key that contextualises the information by giving the weight in pounds of several objects and animals.
This type of plot is used to visualise contingency tables by proportionally representing the size of the cells. It can also be used to visualise the fit of the log-linear model technique. The example shows a three dimensional table with data of hair, eye colour and gender in 592 statistics students.
Share line chart
Chart showing the employment composition of the most employment deprived areas over time.
Visualisation useful in the display of contingency tables. The rectangles are proportional to the expected counts for each combination.
This graph is a modification of the boxplot that enables the representation of densities and other distributions. The image shows the boxplot together with its possible modifications.
Is the world getting better or worse? Interactive animation
A set of visualisations telling the story twenty years on from the 1992 Rio Earth summit. Encourages users to review the evidence on a range of factors including population, life expectancy, child mortality, ecological footprint, poverty, hunger, food production, GDP, social change, life satisfaction, battle deaths and biodiversity, then decide whether the world is getting better or worse.