The case of two transition tables is considered, that is two square
asymmetric matrices of frequencies where the rows and columns of the
matrices are the same objects observed at three different time
points. Different ways of visualizing the tables, either separately
or jointly, are examined. We generalize an existing idea where a
square matrix is descomposed into symmetric and skew-symmetric parts
to two matrices, leading to a decomposition into four components: (1)
average symmetric, (2) average skew-symmetric, (3) symmetric
difference from average, and (4) skew-symmetric difference from
average. The method is illustrated with an artificial example and an
example using real data from a study of changing values over three
generations.