In graphical tables Sparklines can be used to show trends in data. However, the visualization lacks control over how missing data should be handled. Currently, missing data is interpolated giving a potentially skewed view of upcoming trends, if e.g we have data showing demand in the future, and we have some data points in Q1 and some data points in Q3 but no demand in Q2, the Sparkline will happily show steady demand in Q2 as well by connecting Q1 to Q3.