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Data visualisations help us process large volumes of complex data faster. The goal of this thesis is to implement visualizer plugins into the Linked Pipes Visualization Assistant - a platform for visualising graph data pub- lished in the RDF format. The Assistant automatically analyses data sources and matches them against available visualizers to create interactive views. All visualizers allow configuring the visualisation, saving the configuration and publishing created views. The first group of visualizers works with time- oriented data, viewing instants and intervals on a timeline chart. The second group of visualizers views map-oriented data on the Google Maps. Resources with coordinates are visualised using markers, while resources with coordi- nates and quantifiers are shown as circles (the circle radius corresponds to the quantifier). 1 |
