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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 ...
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
It can display charts in various formats. The whole image is scaled by a command, e.g. "ImageSize=width:180 height:90", and using the keyword "bar" triggers the bar chart features. However, the {} can easily format a horizontal bar chart (scrolling down a page), with one or two or four columns of bars in a chart.
Matplotlib can create plots in a variety of output formats, such as PNG and SVG. Matplotlib mainly does 2-D plots (such as line, contour, bar, scatter, etc.), but 3-D functionality is also available. A simple SVG line plot with Matplotlib. Here is a minimal line plot (output image is shown on the right):
As sets vary in size, the size of the set is plotted as bar charts on top of the columns. The size of the intersections are shown aligned with the rows, also as bar charts. This layout facilitates the comparison between the sizes of individual intersections, as the size of the bars is easy to compare. UpSets can be used horizontally and vertically.
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