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- W2922743213 abstract "Many researchers now choose to make their datasets openly available and may also release corresponding software tools to implement their techniques. However, enabling others to easily visualise and understand the data is often challenging. We demonstrate a web-based results visualiser where a user can drag-and-drop raw data files (either experimental data, or the output from a software tool) into an online webpage, which proceeds to analyse the data and automatically generate interactive graphs and tables. With this approach, anyone can visualise the data from any web-enabled device with a modern web browser; it supports every operating system, and does not require software to be installed. We discuss the tools and techniques used to create such interactive visualisations, how they aid in the understanding of data, and the further potential. While our demonstration is custom-built for a specific purpose, we propose a framework to enable anyone to create a visualiser for their data." @default.
- W2922743213 created "2019-04-01" @default.
- W2922743213 creator A5004239876 @default.
- W2922743213 date "2018-06-01" @default.
- W2922743213 modified "2023-09-27" @default.
- W2922743213 title "Interactive research data visualisation by drag-and-drop" @default.
- W2922743213 hasPublicationYear "2018" @default.
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