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This template employs five "sub-templates." A table is created using the columns and rows of data. {{Data bars/bar}} draws each vertical or horizontal rectangle optionally colored and labeled with a name and/or a value. {{Data bars/column}} handles one column of data.
A value is a label with a smaller font-size and that might be used to display a number that is represented by the bar.. This so-called value of the bar is displayed above the bar in a vertical bar chart, and to the right of the bar in a horizontal bar chart.
Each bar can also have a comment, such as "comment7=xx" to show "(xx)" after the number in bar 7. 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 ...
This sub-template handles one "column" of data (zero and positive numbers only) to produce a bar for display inside a barchart table. No more than eight numbers are accepted as unnamed parameters Colors are named color1, color2, color3, and so on, up to eight colors. A style number may be specified. If even, the bar is horizontal.
The advanced Composition bar template can be used to show a composition bar split into different colours. It's intended use is on election articles to show the share of the vote in a given division/constituency/ward, but it can be used as a general composition bar, or as a more comprehensive progress bar.
Orthogonal (orthogonal composite) bar chart numerical value of first variable (extent in first dimension; superimposed horizontal bars) numerical value of second variable (extent in second dimension; like conventional vertical bar chart) category for first and second variables (e.g., color-coded) Includes most features of basic bar chart, above
Module:Chart creates bar and pie charts on Wikipedia without need for external tools; Many spreadsheet, drawing, and desktop publishing programs allow you to create graphs and export them as images. gnuplot can produce a wide variety of charts and graphs; see samples with source code at Commons. In Python using matplotlib
This template generates line and point charts in a structured and readable svg format. The original values are provided unmodified for the SVG file. Therefore the data of the chart may be checked and added at any time directly in the native file with any text editor. Instructions for a simple line plot: