We consider the problem of the visualization of life courses represented as sequences. We describe the state of the art and introduce new plots which improve the graphical display of sequences unveiling their most salient features. Our proposal is based upon the application of smoothing techniques, reducing if not completely removing individual noises. The advantages of our plots are illustrated using data from the Panel study of Social Integration in the Netherlands.

Aassve, A., Billari, F. C., Piccarreta, R. 2007. “Strings of Adulthood: A Sequence Analysis of Young British Women’s Work-Family Trajectories.” European Journal of Population 23:369-88.
Google Scholar | Crossref | ISI
Abbott, A. 1995. “Sequence Analysis: New Methods for Old Ideas.” Annual Review of Sociology 21:93-113.
Google Scholar | Crossref | ISI
Abbott, A., Hrychak, A. 1990. “Measuring Resemblance in Sequence Data: An Optimal Matching Analysis of Musicians’ Careers.” American Journal of Sociology 96:144-85.
Google Scholar | Crossref | ISI
Abbott, A., Tsay, A. 2000. “Sequence Analysis and Optimal Matching Methods in Sociology: Review and Prospect.” Sociological Methods & Research 29:3-33.
Google Scholar | SAGE Journals | ISI
Aisenbrey, S., Fasang, A. E. 2010. “New Life for Old Ideas: The ‘Second Wave’ of Sequence Analysis. Bringing the ‘Course’ Back Into the Life Course.” Sociological Methods & Research 38:420-62.
Google Scholar | SAGE Journals | ISI
Anyadike-Danes, M., McVicar, D. 2010. “My Brilliant Career: Characterizing the Early Labor Market Trajectories of British Women from Generation X.” Sociological Methods & Research 38:482-512.
Google Scholar | SAGE Journals | ISI
Boj, E., Delicado, P., Fortiana, J. 2010. “Distance-based Local Linear Regression for Functional Predictors.” Computational Statistics and Data Analysis 54:429-37.
Google Scholar | Crossref | ISI
Borg, I., Groenen, P. 1997. Modern Multidimensional Scaling. Theory and Applications. New York: Springer.
Google Scholar | Crossref
Brzinsky-Fay, C. 2007. “Lost in Transition? Labour Market Entry Sequences of School Leavers in Europe.” European Sociological Review 23:409-22.
Google Scholar | Crossref | ISI
Brzinsky-Fay, C., Kohler, U., Luniak, M. 2006. “Sequence Analysis with STATA.” Stata Journal 6:435-60.
Google Scholar | SAGE Journals | ISI
Chan, T. W. 1994. Tracing Typical Mobility Paths. Oxford, England: Ms Nuffield Coll.
Google Scholar
Elzinga, C. H. 2003. “Sequence Similarity: A Nonaligning Technique.” Sociological Methods & Research 32:3-29.
Google Scholar | SAGE Journals | ISI
Elzinga, C. H. 2006. “Sequence Analysis: Metric Representation of Categorical Time Series.” (http://home.fsw.vu.nl/ch.elzinga/).
Google Scholar
Everitt, B. S., Landau, S., Leese, M. 2009. Cluster Analysis. 4th ed. New York: Wiley.
Google Scholar
Friedman, J. H. 1984. A Variable Span Smoother. Department of Statistics Technical Report LCS 05, Stanford University.
Google Scholar
Gabadinho, A., Ritschard, G., Studer, M., Müller, N. S. 2009. “Mining Sequence Data in R with the TraMineR Package: A User’s Guide.” Technical Report, Department of Econometrics and Laboratory of Demography, University of Geneva, Geneva. (http://mephisto.unige.ch/traminer/).
Google Scholar
Gauthier, J.-A., Widmer, E. D., Bucher, P., Notredame, C. 2009. “How Much Does It Cost? Optimization of Costs in Sequence Analysis of Social Science Data.” Sociological Methods & Research 38:197-231.
Google Scholar | SAGE Journals | ISI
Halpin, B. 2003. “Tracks Through Time and Continuous Processes: Transitions, Sequences and Social Structure.” Mimeo, Conference paper for Frontiers in Social and Economic Mobility, March 2003, Cornell University.
Google Scholar
Halpin, B. 2010. “Optimal Matching Analysis and Life-Course Data: The Importance of Duration.” Sociological Methods & Research 38:365-88.
Google Scholar | SAGE Journals | ISI
Halpin, B., Chan, T. W. 1998. “Class Careers as Sequences: An Optimal Matching Analysis of Work-Life Histories.” European Sociological Review 14:111-30.
Google Scholar | Crossref | ISI
Härdle, W. 1992. Applied Nonparametric Regression. Cambridge: Cambridge University Press.
Google Scholar
Hollister, M. 2009. “Is Optimal Matching Suboptimal?” Sociological Methods & Research 38:235-64.
Google Scholar | SAGE Journals | ISI
Kaufman, L., Rousseeuw, P. J. 1990. Finding Groups in Data. New York: John Wiley.
Google Scholar | Crossref
Kruskal, J. B. 1964. “Multidimensional Scaling by Optimizing Goodness-of-Fit to a Nonmetric Hypothesis.” Psychometrika 29:1-27.
Google Scholar | Crossref | ISI
Kruskal, J. B., Wish, M. 1984. Multidimensional Scaling. Beverly Hills, CA: Sage.
Google Scholar
Lattin, J., Carroll, J. D., Green, P. E. 2003. Analyzing Multivariate Data. Toronto, Canada: Thomson Learning.
Google Scholar
Lesnard, L. 2010. “Setting Cost in Optimal Matching to Uncover Contemporaneous Socio-Temporal Patterns.” Sociological Methods & Research 38:389-419
Google Scholar | SAGE Journals | ISI
Liefbroer, A. C., Kalmijn, M. 1997. “Panel Study of Social Integration in the Netherlands 1987-1995 (PSIN8795).” Codebook, ICS Occasional Papers and Documents Series (ICS Code Books-30). Utrecht, Netherlands: Interuniversity Center for Social Science Theory and Methodology.
Google Scholar
Malo, M. A., Munoz-Bùlon, F. 2003. “Employment Status Mobility from a Life-cycle Perspective: A Sequence Analysis of Work-Histories in the BHPS.” Demographic Research 9:119-61.
Google Scholar | Crossref
MacIndoe, H., Abbott, A. 2004. “Sequence Analysis and Optimal Matching Techniques for Social Science Data.” Pp. 387-406 in Handbook of Data Analysis, edited by Hardy, M. A., Bryman, A. Thousand Oaks, CA: Sage.
Google Scholar | Crossref
McVicar, D., Anyadike-Danes, M. 2002. “Predicting Successful and Unsuccessful Transitions from School to Work by Using Sequence Methods.” Journal of the Royal Statistical Association, Series A 165:317-34.
Google Scholar | Crossref | ISI
Oh, M.-S., Raftery, A. E. 2001Bayesian Multidimensional Scaling and Choice of Dimension”. Journal of the American Statistical Association 96:1031-44.
Google Scholar | Crossref | ISI
Piccarreta, R., Billari, F. C. 2007. “Clustering Work and Family Trajectories using a Divisive Algorithm.” Journal of the Royal Statistical Association, Series A 170:1061-78.
Google Scholar | Crossref | ISI
Pollock, G. 2007. “Holistic Trajectories: a Study of Combined Employment, Housing and Family Careers by Using Multiple-Sequence Analysis.” Journal of the Royal Statistical Association, Series A 170:167-83.
Google Scholar | Crossref | ISI
R Development Core Team . 2008. R: A Language and Environment for Statistical Computing. Vienna, Austria: R Foundation for Statistical Computing. (http://www.R-project.org).
Google Scholar
Rohwer, G., Pötter, U. 2004. TDA User’s manual. Bochum, Germany: Ruhr-Universitat Bochum.
Google Scholar
Scherer, S. 2001. “Early Career Patterns: A Comparison between Great Britain and West Germany.” European Sociological Review 17:119-44.
Google Scholar | Crossref | ISI
Schoon, I., McCullough, A., Joshi, H., Wiggins, R., Bynner, J. 2001. “Transitions from School to Work in a Changing Social Context.” Young 9:4-22.
Google Scholar | SAGE Journals
Sheikh, Y., Khan, E., Kanade, T. 2007. “Mode-seeking by Medoid Shifts.” Pp. 1-8 in ICCV 2007: Proceedings of the 11th International Conference on Computer Vision. Washington, DC: IEEE Computer Society.
Google Scholar | Crossref
Shepard, R. N. 1962. “The Analysis of Proximities: Multidimensional Scaling with an Unknown Distance Function, II.” Psychometrika 27:219-46.
Google Scholar | Crossref | ISI
Stovel, K., Bolan, M. 2004. “Residential Trajectories: Using Optimal Alignment to Reveal the Structure of Residential Mobility.” Sociological Methods & Research 32:559-98.
Google Scholar | SAGE Journals | ISI
Stovel, K., Savage, M., Bearman, P. 1996. “Ascription into Achievement.” American Journal of Sociology 102:358-99.
Google Scholar | Crossref | ISI
Torgerson, W. S. 1952. “Multidimensional Scaling: I. Theory and Method.” Psychometrika 17:401-9.
Google Scholar | Crossref
Torgerson, W. S. 1958. Theory and Methods of Scaling. New York, NY: John Wiley.
Google Scholar
Wu, L. L. 2000. “Some Comments on ‘Sequence Analysis and Optimal Matching Methods in Sociology: Review and Prospect’.” Sociological Methods & Research 29:41-64.
Google Scholar | SAGE Journals | ISI
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