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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 . A bar graph shows comparisons among discrete categories.
The Google Chart API allows a variety of graphs to be created. 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.
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 in some releases. Here is a simple line plot in pylab (output image is shown on the right): A simple SVG line plot in Matplotlib.
Template:Graph:Chart is an alternative template that may produce higher-quality charts and has more functions in it This template can be used to create a horizontal bar chart, scrolling down a page, in a format which can be parsed by text-based web browsers.
Each bar chart command is followed by an equal-sign ("="), while attributes are followed by a colon (":") as in the command "Period = from:0 till:2000" which sets the vertical (y-axis) range from 0 to 2000. The timeline commands to format the graph layout are: The numbers 450 and 305 are pixel sizes of the image box.
Statistical graphics have been central to the development of science and date to the earliest attempts to analyse data. Many familiar forms, including bivariate plots, statistical maps, bar charts, and coordinate paper were used in the 18th century. Statistical graphics developed through attention to four problems: [ 3]