Search results
Results from the WOW.Com Content Network
The design principle of the information graphic should support the analytical task. [29] As William Cleveland and Robert McGill show, different graphical elements accomplish this more or less effectively. For example, dot plots and bar charts outperform pie charts. [30]
To represent the economy of 18th century England, Playfair used statistical graphs, bar charts, line graphs, area charts, and histograms. In his work, Statistical Breviary, he is credited with introducing the first pie chart. [10] [11] [12] Around 1820, modern geography was established by Carl Ritter. [13]
The Google Chart API allows a variety of graphs to be created. Livegap Charts creates line, bar, spider, polar-area and pie charts, and can export them as images without needing to download any tools. Veusz is a free scientific graphing tool that can produce 2D and 3D plots. Users can use it as a module in Python.
Pie chart of populations of English native speakers. A pie chart (or a circle chart) is a circular statistical graphic which is divided into slices to illustrate numerical proportion. In a pie chart, the arc length of each slice (and consequently its central angle and area) is proportional to the quantity it represents.
The following code generates the pie chart shown at right. Note that the default chart size and colors are used, and the value of "1" for the "other" parameter is only used for its "truth value" as a visible string—i.e., to say, yes, we want an "Other" entry in the legend (the same chart would result if "0" were used).
A SVG plot with Wikimedia SVG Chart. Wikimedia SVG Chart is a graph generator using the templates functionality of Wikimedia Commons. This template generates line and point charts in a structured and readable svg format. The original values are provided unmodified for the SVG file.
Main page; Contents; Current events; Random article; About Wikipedia; Contact us; Pages for logged out editors learn more
In the field of epidemiology, the causal mechanisms responsible for diseases can be understood using the causal pie model.This conceptual model was introduced by Ken Rothman to communicate how constellations of component causes can lead to a sufficient cause to lead to a condition of interest and that reflection on these sets could improve epidemiological study design.