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  2. diagrams.net - Wikipedia

    en.wikipedia.org/wiki/Diagrams.net

    diagrams.net (previously draw.io [2] [3]) is a cross-platform graph drawing software application developed in HTML5 and JavaScript. [4] Its interface can be used to create diagrams such as flowcharts, wireframes, UML diagrams, organizational charts, and network diagrams. [5]

  3. Desmos - Wikipedia

    en.wikipedia.org/wiki/Desmos

    Users can create accounts and save the graphs and plots that they have created to them. A permalink can then be generated which allows users to share their graphs and elect to be considered for staff picks. The tool comes pre-programmed with 36 different example graphs for the purpose of teaching new users about the tool and the mathematics ...

  4. Google Charts - Wikipedia

    en.wikipedia.org/wiki/Google_Charts

    Google Charts can be used to create real-time dashboards for monitoring and reporting data, which may be useful in some career fields. Another article from the NCBI, "Using Google Charts API to Generate a Real-Time Report Dashboard" (NCBI article [ 4 ] ), demonstrated this feature's integration in healthcare and research.

  5. List of information graphics software - Wikipedia

    en.wikipedia.org/wiki/List_of_information...

    This is a list of software to create any kind of information graphics: either includes the ability to create one or more infographics from a provided data set; either it is provided specifically for information visualization

  6. Wikipedia:Graphs and charts - Wikipedia

    en.wikipedia.org/wiki/Wikipedia:Graphs_and_charts

    Typically, each use is made into its own template, and the template is then transcluded into the article. See an example here , and an example of it being used in an article here . The use of fixed images, such as File:Narnia Timeline.svg , was common in the past.

  7. Wikipedia : How to create charts for Wikipedia articles

    en.wikipedia.org/wiki/Wikipedia:How_to_create...

    Include a self-contained script by which you created the plot on the image description page. Ideally someone else can copy and paste and reproduce the same result with minimal effort. Commenting your code is also helpful to make your code more understandable. Avoid legends - place labels and data explanations directly on the graphic itself.

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