RAWGraphs
Original author(s)Giorgio Caviglia, Michele Mauri, Giorgio Uboldi, Matteo Azzi
Developer(s)DensityDesign Lab, Studio Calibro, Studio InMagik
Initial release20 April 2013 (2013-04-20).[1]
Stable release
2.0.0-beta11 / 18 October 2021 (2021-10-18)
Repository
Written inJavaScript, HTML
Available inEnglish
TypeVisualization
LicenseApache 2
Websiterawgraphs.io

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[2][3] 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.[4]

In 2017 the project was re-launched thanks to private support.[5] 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.[6] 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,[7] and is used also by journalist[8] 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:

Data Inputs

the software can load data from the following sources:

References

  1. ↑ https://github.com/densitydesign/raw/releases/tag/v.0.1.1 RAWGraphs version 0.6a1 release date
  2. ↑ Mauri, Michele; Elli, Tommaso; Caviglia, Giorgio; Uboldi, Giorgio; Azzi, Matteo (2017). "RAWGraphs". Proceedings of the 12th Biannual Conference on Italian SIGCHI Chapter. ACM. pp. 28:1–28:5. doi:10.1145/3125571.3125585. ISBN 978-1-4503-5237-6. S2CID 28530715.{{cite book}}: CS1 maint: date and year (link)
  3. ↑ Bryan Connor, "Add Raw to Your Roster of Visualization Tools", The Why Axis, retrieved 2021-10-14
  4. ↑ "Most Beautiful Award in 2014", Information is Beautiful Awards, retrieved 2021-08-21
  5. ↑ Enrico Bertini, Moritz Stefaner (7 February 2017), "Visualizing Data with RAW", Data Stories, retrieved 2021-10-14
  6. ↑ Nathan Yau (4 March 2021), "RAWGraphs 2.0, an open-source tool to visualize data", FlowingData, retrieved 2021-08-17
  7. ↑ Academic papers citing RAWGraphs, Scopus, retrieved 2021-08-17
  8. ↑ Rowan, Philp (24 November 2020), My Favorite Tools: Alberto Cairo on Data Visualization, Global Investigative Journalism Network, retrieved 2021-08-27
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