Keywords: visualization, interactive graphics, human computer interaction, data science.
Visualising data and information is a key component of data science and an integral part of merging domain expertise with data-driven knowledge.
It is a primary goal of data visualisation to provide a communication channel both within the data science team and also between data analyst, domain experts and a more general interested audience. Data visualisation also aims at stimulating users to further engage with the data and to generate further analysis approaches. In this regard, visualisation is not a goal in itself, but a comprehensive linkage tool within the data analysis cycle. There are in particular three interfaces to be considered: linking the visualisation to the data structures – in particular in the realm of Big data with its characteristic features of large volumes, high velocity and variety – linking the visualisation to the analysis method, and linking the visualisation to the domain knowledge. In this regard, visualisation can be considered the key interface between all stakeholders in the data analysis process. In this talk I would like to bridge different visualisation aspects from computer science, statistics and application domains to discuss recent trends in this field.