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ggplot2 is an open-source data visualization package for the statistical programming language R.Created by Hadley Wickham in 2005, ggplot2 is an implementation of Leland Wilkinson's Grammar of Graphics—a general scheme for data visualization which breaks up graphs into semantic components such as scales and layers. ggplot2 can serve as a replacement for the base graphics in R and contains a ...
With an additional (free) package, it's also possible to generate SVG-graphs with R directly. See an example with code on Image:Circle area Monte Carlo integration2.svg. Other packages (lattice, ggplot2) provide alternative graphics facilities or syntax. Here is another example with data.
Vector graphics software can be used for manual graphing or for editing the output of another program. Please see: Category:Vector graphics editors; Comparison of vector graphics editors
Example of a pie chart, along with a bar plot showing the same data and indicating that the pie chart is not the best possible chart for this particular dataset. The graphic was created by User:Schutz for Wikipedia on 28 August 2007 using the R statistical project. The program that generated the graphic is given below.
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).
This template adds a pie chart to the page using Graph extension Template parameters [Edit template data] This template prefers inline formatting of parameters. Parameter Description Type Status Radius radius Specify the radius of the pie in number of pixels Default 100 Example 100 Number suggested Legend Title legend The title that will appear above the legend, or '-' to hide it Default ...
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.
In statistical process control (SPC), the ¯ and R chart is a type of scheme, popularly known as control chart, used to monitor the mean and range of a normally distributed variables simultaneously, when samples are collected at regular intervals from a business or industrial process. [1]