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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 ...
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
The above bar chart, showing population bars for each year, can be generated by using the markup text listed below. The example text (below) can be copied and shortened, or expanded, to handle other years or numbers in a bar chart format. The image size is set as "ImageSize = width:450 height:305" for a box of 450x305px.
This template creates a vertical bar chart for a set of data of your choosing, for example, charting population demographics of a location. Up to twenty graphical bars can be used along with specified colors. The graph's width is set by default, but can be changed, as well as the large and small scales.
Category:Bar chart templates - to make bar charts. Commons:Chart and graph resources; Wikipedia:Graphic Lab/Image workshop; Subcategories. This category has only the ...
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):
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.