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Visualization of Time Series Data by Statistical Shape Analysis on Fertility Rate and Education in Indonesia

Yukari Shirota1, Alfan Presekal2, and Riri Fitri Sari2
1. Department of Management, Faculty of Economics, Gakushuin University, Tokyo, Japan
2. Computer Engineering, Department of Electrical Engineering, Universitas Indonesia, Depok, Indonesia
Abstract—Visualization is very effective when we analyze the time series data. In the paper, we shall illustrate change of the whole trend on time series data as shapes, as well as local changes. The method we used is the statistical shape analysis which can extract separately the Affine and non-Affine transformation parts from the time change deformation. The method is helpful to see a local movement of each landmark data, compared to other neighbors. In the paper, we shall conduct the Indonesia province comparison, concerning the total fertility rate and the education status between 2007 and 2012. From the visualization, we can easily understand the time series changes.
 
Index Terms—statistical shape analysis, Affine/non-Affine transformation, partial warp eigenvectors, fertility rates, education level

Cite: Yukari Shirota, Alfan Presekal, and Riri Fitri Sari, "Visualization of Time Series Data by Statistical Shape Analysis on Fertility Rate and Education in Indonesia," Journal of Advances in Information Technology, Vol. 10, No. 2, pp. 60-65, May 2019. doi: 10.12720/jait.10.2.60-65
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