A new visualization method of time series data change, a statistical shape analysis method, is presented. The shape analysis method was originally developed for image analyses in biology. However the analysis power can also be used in economics and socio-science, and the visualization is effective to understand the changes. The statistical shape analysis method has a feature to extract separately an Affine transformation part and a non-Affine one. The Affine transformation shows the total trend of all the data and the non-Affine one shows a local movement of one landmark which is specific to the landmark. To see the both, we can visually understand changes among the time series data. In this paper, we will present the visualization using Indonesia data on fertility rate and education status between the year 2007 and 2012.