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Exploded pie chart for the example data (see below), with the largest party group exploded. A chart with one or more sectors separated from the rest of the disk is known as an exploded pie chart. This effect is used to either highlight a sector, or to highlight smaller segments of the chart with small proportions.
When making a pie chart, ensure that the segments are ordered by size (largest to smallest) and in a clockwise direction. [clarification needed] Setting the other parameter to yes will pad the chart so that the values total to 100. This example was created by typing the following code:
It is a way of showing unorganized data notably to show results of an election, income of people for a certain region, sales of a product within a certain period, student loan amounts of graduates, etc. Some of the graphs that can be used with frequency distributions are histograms, line charts, bar charts and pie charts. Frequency ...
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).
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William Playfair who produced what could be called the first line, bar, pie, and area charts. For example, in 1786 he published the well known diagram that depicts the evolution of England 's imports and exports, [ 4 ]
For example, dot plots and bar charts outperform pie charts. [ 30 ] In his 1983 book The Visual Display of Quantitative Information , [ 31 ] Edward Tufte defines 'graphical displays' and principles for effective graphical display in the following passage: "Excellence in statistical graphics consists of complex ideas communicated with clarity ...
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.