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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.
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.
Use the SVG format whenever possible. If you can't, use any software to create the plot in a bitmap format but make it very large, for instance 6000×4500 pixel size with Postscript Times or Symbol font size 48 and a line thickness of 17 pixels. Then use software like Photoshop or GIMP to Gaussian blur it at 2 pixels.
Data and information visualization (data viz/vis or info viz/vis) [2] is the practice of designing and creating easy-to-communicate and easy-to-understand graphic or visual representations of a large amount [3] of complex quantitative and qualitative data and information with the help of static, dynamic or interactive visual items.
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.
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. The data items can be simple numbers, or the result of calculations based on template ...
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