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As the saying goes: a picture often tells more than a thousand words. This is certainly true for graphical timelines. A detailed listing of events and dates in tabular form may offer the reader a lot of specifics, but may fail to provide an overview, a grand perspective. From June 1, 2004 there is a wiki way to compose graphical time charts ...
[[Category:Timeline templates]] to the <includeonly> section at the bottom of that page. Otherwise, add <noinclude>[[Category:Timeline templates]]</noinclude> to the end of the template code, making sure it starts on the same line as the code's last character.
When you are getting started, you might want to use {{Graphical timeline|help=on}} to generate a ready-made, empty template – or type {{subst:Graphical timeline/blank}} into a sandbox page, save the page, and edit the resulting code. Hopefully, the parameter names are pretty self-explanatory.
Timelines describe the events that occurred before another event, leading up to it, causing it, and also those that occurred right afterward that were attributable to it. Timelines are often bulleted lists or tables.
• Gigantophis is thought to be a member of the extinct snake family Madtsoiidae. Gigantophis is only known from a few vertebrae and the morphology of Madtsoiidae snakes are not very well known. However, Gigantophis has been estimated as one of the largest snakes to have lived. It was estimated between 9.3 and 10.7 metres (31 and 35 ft) in ...
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Graphical timelines can be produced by providing a script between special tags: <timeline> script </timeline> EasyTimeline will then be invoked to render a PNG image and (optionally) a clickable map. Disclaimer: Even though EasyTimeline is designed for ease of use, a complicated graphical timeline is a non-trivial affair. A simple timeline may ...
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
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