About: Requirements of Data Visualisation Tools to Analyse Big Data: A Structured Literature Review

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An Entity of Type : schema:ScholarlyArticle, within Data Space : covidontheweb.inria.fr associated with source document(s)

Attributes	Values
type	Academic Article research paper schema:ScholarlyArticle
isDefinedBy	Covid-on-the-Web dataset
has title	Requirements of Data Visualisation Tools to Analyse Big Data: A Structured Literature Review
Creator	Matthee, Machdel Lowe, Joy
Source	PMC
abstract	The continual growth of big data necessitates efficient ways of analysing these large datasets. Data visualisation and visual analytics has been identified as a key tool in big data analysis because they draw on the human visual and cognitive capabilities to analyse data quickly, intuitively and interactively. However, current visualisation tools and visual analytical systems fall short of providing a seamless user experience and several improvements could be made to current commercially available visualisation tools. By conducting a systematic literature review, requirements of visualisation tools were identified and categorised into six groups: dimensionality reduction, data reduction, scalability and readability, interactivity, fast retrieval of results, and user assistance. The most common themes found in the literature were dimensionality reduction and interactive data exploration.
has issue date	2020-03-06(xsd:dateTime)
bibo:doi	10.1007/978-3-030-44999-5_39
has license	no-cc
sha1sum (hex)	f297c6a01fd5afa7604f10c838b0b0009379894d
schema:url	https://doi.org/10.1007/978-3-030-44999-5_39
resource representing a document's title	Requirements of Data Visualisation Tools to Analyse Big Data: A Structured Literature Review
has PubMed Central identifier	PMC7134219
schema:publication	Responsible Design, Implementation and Use of Information and Communication Technology
resource representing a document's body	covid:f297c6a01fd5afa7604f10c838b0b0009379894d#body_text
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