The article describes the capabilities of the TraMineR R package for analyzing and visualizing categorical state sequences. It focuses on methods for describing sets of sequences, computing longitudinal characteristics, and measuring pairwise dissimilarities. The core of the package is the state sequence object, which stores sequences along with attributes like alphabet, state labels, and color palette. The package provides tools for clustering, statistical modeling, and visualization of sequences. It supports various sequence representations, including STS, SPS, and SPELL formats. The article explains how to create state sequence objects, define attributes, handle missing values, and visualize sequences. It also discusses methods for computing overall and transversal statistics, individual sequence characteristics, and composite complexity measures. The package offers functions for computing pairwise dissimilarities, which can be used for clustering and statistical analysis. The article illustrates these methods using the mvad dataset, showing how to analyze school-to-work transitions. The TraMineR package is a powerful tool for analyzing and visualizing categorical sequences in R.The article describes the capabilities of the TraMineR R package for analyzing and visualizing categorical state sequences. It focuses on methods for describing sets of sequences, computing longitudinal characteristics, and measuring pairwise dissimilarities. The core of the package is the state sequence object, which stores sequences along with attributes like alphabet, state labels, and color palette. The package provides tools for clustering, statistical modeling, and visualization of sequences. It supports various sequence representations, including STS, SPS, and SPELL formats. The article explains how to create state sequence objects, define attributes, handle missing values, and visualize sequences. It also discusses methods for computing overall and transversal statistics, individual sequence characteristics, and composite complexity measures. The package offers functions for computing pairwise dissimilarities, which can be used for clustering and statistical analysis. The article illustrates these methods using the mvad dataset, showing how to analyze school-to-work transitions. The TraMineR package is a powerful tool for analyzing and visualizing categorical sequences in R.