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A bar chart or bar graph is a chart or graph that presents categorical data with rectangular bars with heights or lengths proportional to the values that they represent. The bars can be plotted vertically or horizontally. A vertical bar chart is sometimes called a column chart and has been identified as the prototype of charts. [1]
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. GeoGebra is open-source graphing calculator and is freely available for non-commercial users.
The graphs include bar charts, pie charts, line charts, area charts, scatter plots, tag clouds, tree maps, and political maps. Bar/line/area charts can be easily created by using Template:Graph:Chart; the documentation for this template explains its functions and use in extreme detail.
Charts are generated by the usual method of selecting a data range and clicking a toolbar icon. The approach is to start minimally, but double clicking the chart opens a tabbed dialogue, giving a high level of control over all elements of the chart, which are arranged in a hierarchical, nested structure.
A chart (sometimes known as a graph) is a graphical representation for data visualization, in which "the data is represented by symbols, such as bars in a bar chart, lines in a line chart, or slices in a pie chart". [1] A chart can represent tabular numeric data, functions or some kinds of quality structure and provides different info.
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a factor multiplied by value to give the width of the bar in pixels. Use the same scale in every row, as otherwise the bar chart won’t be to scale! scale can be negative, in which case an additional column (for showing negative values) is created. See example below. height (default = "2ex") the height of the bar as a CSS measurement e.g. "1em ...
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