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A chart can represent tabular numeric data, functions or some kinds of quality structure and provides different info. The term "chart" as a graphical representation of data has multiple meanings: A data chart is a type of diagram or graph, that organizes and represents a set of numerical or qualitative data.
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).
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.
New elements can be added by clicking on the appropriate level and the Add button. The most important feature from the point of view of Wiki charts, is that Gnumeric charts can be exported as graphics simply by right clicking anywhere on the finished chart and selecting Save as Image. A range of formats is supported, including SVG and PNG.
For a 2-column bar chart, the 2nd column items have prefix "col2_" such as scale maximum, col2_data_max=110, and col2_data3=67 with col2_comment3=zz. See below: "Example with two data columns". Each bar chart can be formatted typically within 1/5 second.
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In this case, it is not feasible to show every possible symbol size (although some have tried, using wedge-shaped continuous legends [10]), so most proportional symbol legends include a set of sample sizes with their respective values, usually the largest value, one of the smallest value, and one or more in between. [30]
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