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Visualising Big Data for Official Statistics: The ABS Experience

Visualising Big Data for Official Statistics: The ABS Experience
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Author(s): Frederic Clarke (Australian Bureau of Statistics, Australia)and Chien-Hung Chien (Australian Bureau of Statistics, Australia)
Copyright: 2017
Pages: 29
Source title: Data Visualization and Statistical Literacy for Open and Big Data
Source Author(s)/Editor(s): Theodosia Prodromou (University of New England, Australia)
DOI: 10.4018/978-1-5225-2512-7.ch009

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Abstract

This chapter outlines recent ABS research in applying data visualisation to the analysis of big data for official statistics. Examples are presented from the application of a prototype analytical platform created by the ABS to two significant big data use cases. This platform – the Graphically Linked Information Discovery Environment (GLIDE) – demonstrates a new approach to representing, integrating and exploring complex information from diverse sources. This chapter discusses the role of data visualisation in meeting the analytical challenges of big data and describes the entity-relationship network model and data visualisation features implemented in GLIDE, together with examples drawn from two recent projects. It concludes and outlines future directions.

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