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  2. Wikipedia:Graphs and charts - Wikipedia

    en.wikipedia.org/wiki/Wikipedia:Graphs_and_charts

    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.

  3. Bar chart - Wikipedia

    en.wikipedia.org/wiki/Bar_chart

    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.

  4. Comparison of JavaScript charting libraries - Wikipedia

    en.wikipedia.org/wiki/Comparison_of_JavaScript...

    Comparison of JavaScript charting libraries. There are different JavaScript charting libraries available. Below is a comparison of which features are available in each. Library Name. License. Free. Supported Chart Types. Supported Bar Chart Types. Other Features.

  5. Template:Bar chart - Wikipedia

    en.wikipedia.org/wiki/Template:Bar_chart

    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 ...

  6. Wikipedia : How to create charts for Wikipedia articles

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

    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.

  7. Data and information visualization - Wikipedia

    en.wikipedia.org/wiki/Data_and_information...

    Data visualization refers to the techniques used to communicate data or information by encoding it as visual objects (e.g., points, lines, or bars) contained in graphics. The goal is to communicate information clearly and efficiently to users. It is one of the steps in data analysis or data science. According to Vitaly Friedman (2008) the "main ...

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