Visualizing multi-dimensional data is rarely discussed in portfolio. Parallel Coordinates by Inselberg are the way to visualize multi-dimensional data within 2-dimensional spaces. The learning portfolios are the result of learning process in several subjects. To visualize interaction among all the subjects, we present an efficient visualization approach to supporting multivariate data exploration through a simple but obvious overview based on parallel coordinates. We assume the values of multi-dimensional coordinate are potential and a few discussions about learning are taking. This paper deals with the visualization of trajectories of multi-dimensional data in learning portfolio and finds a limitation of spending time.