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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
Makes a horizontal stacked chart of up to 12 counts (plus a gray bar if the total is greater than the sum of the 12). If no total is supplied, defaults to 100 (for percentages). By default, uses nice rainbow of colors that don't correspond to reserved article class or importance colors, but colors can be customized.
The chart can contain any number of bars. There are four types: Percentage bar {{bar percent|row label|colour|value (width in percents)|optional value label}}
Bar graphs can also be used for more complex comparisons of data with grouped (or "clustered") bar charts, and stacked bar charts. [5] In grouped (clustered) bar charts, for each categorical group there are two or more bars color-coded to represent a particular grouping. For example, a business owner with two stores might make a grouped bar ...
A stacked bar chart showing Microsoft Azure's revenue growth, and the contribution from Azure AI.
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Vertical bar charts (column charts) — Accepts up to six datasets. Toggle between clustered and stacked charts; user can adjust "Yfloor"—the Y level (usually=0) from which columns rise or fall; user chooses to keep or ignore negative input values. (updated 27 August 2023) Horizontal bar charts — Accepts up to six datasets. Toggle between ...
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 ...