Michele Mauri, Tommaso Elli, G. Caviglia, Giorgio Uboldi, M. Azzi
{"title":"RAWGraphs: A Visualisation Platform to Create Open Outputs","authors":"Michele Mauri, Tommaso Elli, G. Caviglia, Giorgio Uboldi, M. Azzi","doi":"10.1145/3125571.3125585","DOIUrl":null,"url":null,"abstract":"RAWGraphs is an open source web application for the creation of static data visualisations that are designed to be further modified. Originally conceived for graphic designers to provide a series of tasks not available with other tools, it evolved into a platform that provides simple ways to map data dimensions onto visual variables. It presents a chart-based approach to data visualisation: each visual model is an independent module exposing different visual variables that can be used to map data dimensions. Consequently, users can create complex data visualisations. Finally, the tool is meant to produce outputs that are open, that is, not subjected to proprietary solutions, which can be further edited.","PeriodicalId":374214,"journal":{"name":"Proceedings of the 12th Biannual Conference on Italian SIGCHI Chapter","volume":"52 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2017-09-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"288","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Proceedings of the 12th Biannual Conference on Italian SIGCHI Chapter","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1145/3125571.3125585","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 288
Abstract
RAWGraphs is an open source web application for the creation of static data visualisations that are designed to be further modified. Originally conceived for graphic designers to provide a series of tasks not available with other tools, it evolved into a platform that provides simple ways to map data dimensions onto visual variables. It presents a chart-based approach to data visualisation: each visual model is an independent module exposing different visual variables that can be used to map data dimensions. Consequently, users can create complex data visualisations. Finally, the tool is meant to produce outputs that are open, that is, not subjected to proprietary solutions, which can be further edited.