The following types of visualizations are not mutually exclusive. One visualization can incorporate multiple types, such as a network superimposed on a geographic map.
Time series graphs connect data points measured over time and are ideal for demonstrating trends. This type of visualization is common in many areas of science and engineering, as well as the social sciences.
A stream graph is a type of stacked graph that is displayed around a central axis, good for showing how amounts of different variables change over time.
This type of geographic map has displays geocoded symbols sized according to some quantitative data. Using symbols affords a variety of other options for visual encoding, including changing the color, the opacity, and using textures.
These are the most common type of network graphs. These diagrams can look radically different, depending on the layout that is applied. These type of visualizations are common in social network analysis.
Visually this network layout looks similar to a radial tree layout, but it is based on hyperbolic geometry rather than Euclidean. This allows more room for hierarchical networks that increase exponentially.
A word cloud is a visual representation of textual data. Typically the most frequently occurring words are displayed, sized relative to their occurrence in the data set.
This type of chart is capable of displaying three (or more) data variables at once. The bubbles are placed on a x- and y-axis and the size of the bubble is relative to a third data variable. Bubbles can also be colored to represent a fourth data variable.
The following types of visualizations are not mutually exclusive. One visualization can incorporate multiple types, such as a network superimposed on a geographic map.
