Missing values in hydrological time series stand in the way of the creation of hydrological models, the computation of important summary statistics and the analysis and interpretation of flow variability. In this paper, we propose gapIT, a Visual Analytics system that aims to help experts to find the appropriate infilling technique according to the context. The tool has been used to infill gaps in water discharge series obtained from selected hydrometric gauging stations in Luxembourg.