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Collaborations between artists is very frequent in music industry and data analysis can help understand the impact of collaborative projects on artists' careers. In this paper, we propose an incremental and multimodal visualization to support the exploration of artists' discography and collaborations. Visualization techniques are used here to support the discovery of meaningful patterns and causal relationships. Our approach combines meta-data, graphics, interactive audio, and MIR analysis todoi:10.5281/zenodo.6767529 fatcat:6gzkizvszrdwxb5hnna5w67xbm