• Source: RAWGraphs
  • RAWGraphs is a web-based open-source data visualization software made in JavaScript. It employs D3.js for the creation of editable visualizations in SVG format.


    History


    The project was started in 2013 by a group of researchers of Politecnico di Milano with the original name of "RAW". Version 1.0.0 was released in 2014. In the same year the tool won the "Most Beautiful" award at the Kantar Information is Beautiful Awards 2014 organized by David McCandless.
    In 2017 the project was re-launched thanks to private support. It changed the license from LGPL to Apache 2 and the project name to "RAWGraphs".
    In August 2019 the team launched a crowdfunding campaign to harvest economical support for developing a new version of the tool. Version 2.0.0 was released in September 2020 to backers, and publicly in February 2021.
    The new version presents a modular architecture composed by a core JavaScript library, an expandable library of visual models, and a web-based GUI written in React.


    Applications


    RAWGraphs has been used in a number of research projects in academia, and is used also by journalist and graphic designer thanks to its ability of creating clean, SVG-based images that can be further edited with any other software.


    Available charts


    In version 2.0 the available charts are:

    Alluvial diagram
    Arc diagram
    Bar chart
    Multi-set bar chart
    Stacked bar chart
    Beeswarm plot
    Box plot
    Bumpchart
    Circle packing
    Dendrograms:
    Circular dendrogram
    Linear dendrogram
    Gantt chart
    Horizon graph
    Line chart
    Matrix Plot
    Parallel coordinates
    Radar chart
    Sankey diagram
    Scatterplots:
    Bubble chart
    Contour plot over bubble chart
    Convex hull grouping
    Hexagonal binning grouping
    Streamgraph (also known as Area chart)
    Sunburst diagram
    Treemap
    Violin plot
    Voronoi Diagram


    Data Inputs


    the software can load data from the following sources:

    static files (CSV, TSV, Excel files)
    Data from endpoints (in tabular or JSON format)
    Data from SPARQL endpoints (e.g. Wikidata)


    References

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