Poor quality, inaccurate or inadequate data can lead to inappropriate assumptions, misleading results, bias and ultimately poor policy and decision making. Finding errors and cleaning data is a time consuming process and requires domain knowledge. This work presents a modified technique – called Interactive Tableplot – for visualizing data and supporting the incorporation of user’s domain knowledge so that erroneous cases are easily revealed. Tableplot is implemented in the software Gauguin (Gribov et al. 2006) that provides techniques for the interactive visual exploration of multivariate datasets.