This thesis proposes the development of interfaces to support collaborative, community-led inquiry into data, which is referred to as Participatory Data Analytics. Over the course of multiple iterations spanning across three use cases, we developed a novel visualisation interface named DataChopin. Its distinctive characteristics are the use of large-scale, vertical displays as a shared desktop, along with natural, touch-based interactions for incremental construction of visualisations. The evaluation of this prototype has yielded recommendations for participatory research practitioners and designers of data exploration interfaces. In doing so, this research takes steps towards greater accessibility and democratisation of data analytics capabilities.