Article
Biochemical Research Methods
Stefan Roder, Gunda Herberth, Ana C. Zenclussen, Mario Bauer
Summary: EpiVisR is a tool for visualizing epigenetic research, allowing users to select and visualize combinations of traits and differentially methylated probes/regions to gain insights from existing data.
BMC BIOINFORMATICS
(2022)
Article
Physics, Multidisciplinary
Fushing Hsieh, Elizabeth P. Chou, Ting-Li Chen
Summary: CEDA with mimicking explores and exhibits the complexity and structural dependency of data matrices, revealing information content and feature associations from fine-scale to global structures. It enhances data visualization reliability and robustness, clarifying which covariate feature-groups have major-vs.-minor predictive powers on response features at specific scales.
Article
Computer Science, Software Engineering
Kecheng Lu, Mi Feng, Xin Chen, Michael Sedlmair, Oliver Deussen, Dani Lischinski, Zhanglin Cheng, Yunhai Wang
Summary: The study introduces an integrated method for creating and assigning color palettes to improve visual discrimination of classes in different visualizations. Results show that the method generates high-quality color palettes with high efficiency, and can incorporate user modifications.
IEEE TRANSACTIONS ON VISUALIZATION AND COMPUTER GRAPHICS
(2021)
Article
Medicine, General & Internal
Jeehyoung Kim, Jung Soo Lee, San Kim
Summary: This article discusses how to create plots with categorical data, including Bubble Plot, Matrix Bubble Plot, and Matrix Bar Plot.
JOURNAL OF KOREAN MEDICAL SCIENCE
(2021)
Article
Biology
Patrick Koenig, Sebastian Beier, Martin Mascher, Nils Stein, Matthias Lange, Uwe Scholz
Summary: DivBrowse is a web application that allows interactive visualization and exploratory analysis of genomic diversity data stored in VCF files. It combines BLAST as an entry point with features like principal component analysis, providing a unique set of capabilities for studying genomic biodiversity datasets. The application also supports data interoperability and integration with existing web applications.
Article
Computer Science, Software Engineering
J. Geiger, S. Cornelsen, J. -H. Haunert, P. Kindermann, T. Mchedlidze, M. Noellenburg, Y. Okamoto, A. Wolff
Summary: This passage discusses the analysis of point data in geographic data, proposing a new method to visualize category membership while avoiding data crossings and visual clutter. Case studies and benchmark tests were conducted, showing that their heuristics performed well in certain scenarios.
COMPUTER GRAPHICS FORUM
(2021)
Article
Computer Science, Software Engineering
Theophanis Tsandilas
Summary: Information visualization research has developed powerful systems that allow users to create custom data visualizations without textual programming. However, existing visualization authoring systems often assume that users want to generate visual representations they already have in mind, rather than explore designs. StructGraphics enables designers to create data-agnostic and fully reusable visualization designs by drawing graphics on a canvas and structuring visual properties independent of specific datasets.
IEEE TRANSACTIONS ON VISUALIZATION AND COMPUTER GRAPHICS
(2021)
Article
Computer Science, Software Engineering
Sara Di Bartolomeo, Yixuan Zhang, Fangfang Sheng, Cody Dunne
Summary: Temporal event sequence alignment is useful for visualizing nuanced changes and interactions over time in various domains. Sequence Braiding is a novel overview visualization method that visually aligns multiple temporal events and attribute groups simultaneously, supporting arbitrary ordering, absence, and duplication of events. Experiment results suggest that users of Sequence Braiding can understand high-level patterns and trends faster and with similar error rates compared to other methods.
IEEE TRANSACTIONS ON VISUALIZATION AND COMPUTER GRAPHICS
(2021)
Review
Psychology, Multidisciplinary
Yiou Sun, Ping Wang
Summary: This book is an important guide for both novice and experienced SLA researchers, providing practical assistance and new perspectives in data analysis through the use of R and data visualization techniques. The author successfully connects data visualization to SLA research and offers practical insights and modifications.
FRONTIERS IN PSYCHOLOGY
(2022)
Article
Computer Science, Software Engineering
Shaghayegh Esmaeili, Samia Kabir, Anthony M. Colas, Rhema P. Linder, Eric D. Ragan
Summary: This study investigates the use of motion as data encodings for quantitative values. The experiments show that non-synchronized motion can be interpreted more quickly and accurately than synchronized motion, while motion, especially expansion and translational types, has great potential as a data encoding technique for quantitative value.
IEEE TRANSACTIONS ON VISUALIZATION AND COMPUTER GRAPHICS
(2023)
Article
Computer Science, Software Engineering
Qian Zheng, Min Lu, Sicong Wu, Ruizhen Hu, Joel Lanir, Hui Huang
Summary: This paper proposes an effective method to automatically generate coloring for categorical data visualization, which resembles a reference image while allowing classes to be easily distinguished. The method extracts dominant and discriminable colors from the reference image's color space and optimizes point distinctness and color spatial relations to assign colors to the given classes.
COMPUTATIONAL VISUAL MEDIA
(2022)
Article
Computer Science, Theory & Methods
Mark Tygert
Summary: Comparing differences in outcomes between subpopulations should consider the similarity of independent variables. Traditional binning methods may be arbitrary, but cumulative methods are more accurate in showing differences in results.
JOURNAL OF BIG DATA
(2021)
Article
Multidisciplinary Sciences
Daniel J. Lawson, Vinesh Solanki, Igor Yanovich, Johannes Dellert, Damian Ruck, Phillip Endicott
Summary: Integrating datasets from different disciplines is challenging due to qualitative differences in data. The CLARITY method quantifies consistency, identifies inconsistencies, and allows comparison of similarity matrices. It is robust to noise, scales, and makes weak assumptions about data generation.
ROYAL SOCIETY OPEN SCIENCE
(2021)
Article
Peripheral Vascular Disease
Byron C. Jaeger, Ligong Chen, Kathryn Foti, Shakia T. Hardy, Adam P. Bress, Sean P. Kane, Lei Huang, Jennifer S. Herrick, Catherine G. Derington, Bharat Poudel, Ashley Christenson, Lisandro D. Colantonio, Paul Muntner
Summary: A web-based application was developed to provide hypertension statistics for US adults using data from the US National Health and Nutrition Examination Survey. The study found that the mean systolic blood pressure decreased from 123 mm Hg in 1999-2000 to 120 mm Hg in 2009-2010 and then increased to 123 mm Hg in 2017-2020. The age-adjusted prevalence of hypertension was 47.9% in 1999-2000, 43.0% in 2009-2010, and 44.7% in 2017-2020. The study also estimated that 115.3 million US adults had hypertension in 2017-2020.
Article
Ecology
Omar Alminagorta, Charlie J. G. Loewen, Derrick T. de Kerckhove, Donald A. Jackson, Cindy Chu
Summary: Exploratory analysis of biological communities and their environmental factors requires specialized tools like parallel coordinates to visualize and explore multivariate data and generate hypotheses about causal relationships. Through two case studies in Canada, the utility and novelty of parallel coordinates in ecology were demonstrated, offering ecologists a practical alternative for visualizing and exploring multivariate data.
ECOLOGICAL INFORMATICS
(2021)
Article
Computer Science, Interdisciplinary Applications
Reto Buergin, Gilbert Ritschard
COMPUTATIONAL STATISTICS & DATA ANALYSIS
(2015)
Review
Social Sciences, Mathematical Methods
Matthias Studer, Gilbert Ritschard
JOURNAL OF THE ROYAL STATISTICAL SOCIETY SERIES A-STATISTICS IN SOCIETY
(2016)
Article
Computer Science, Interdisciplinary Applications
Alexis Gabadinho, Gilbert Ritschard
JOURNAL OF STATISTICAL SOFTWARE
(2016)
Article
Computer Science, Interdisciplinary Applications
Reto Buergin, Gilbert Ritschard
JOURNAL OF STATISTICAL SOFTWARE
(2017)
Article
Social Sciences, Mathematical Methods
Gilbert Ritschard
Summary: This study reviews and compares indicators that can numerically describe the nature of state sequences, and introduces several new indicators. The discussion points out the strange behavior of some of the indicators and proposes hypotheses to avoid these flaws. The usage of the indicators is illustrated through two applications using data from the Swiss Household Panel.
SOCIOLOGICAL METHODS & RESEARCH
(2023)
Article
Public, Environmental & Occupational Health
Kurt Haefeli, Achim Hattich, Claudia Schellenberg, Annette Krauss, Gilbert Ritschard
Summary: The study analyzed the occupational career patterns of men and women, finding six differentiated OCPs which support linear career models. Women generally had stable OCPs, while men showed more changes and upward mobility. These patterns were influenced by indicators collected from participants during their teenage years, and OCPs at age 52 had various impacts on objective and subjective indicators of career success.
LONGITUDINAL AND LIFE COURSE STUDIES
(2021)
Article
Sociology
Tim F. Liao, Danilo Bolano, Christian Brzinsky-Fay, Benjamin Cornwell, Anette Eva Fasang, Satu Helske, Raffaella Piccarreta, Marcel Raab, Gilbert Ritschard, Emanuela Struffolino, Matthias Studer
Summary: This article reflects on the progress and potential future directions of sequence analysis (SA) in the social sciences, particularly in life course research. The paper provides a summary of important SA research, methodological developments, and future challenges.
SOCIAL SCIENCE RESEARCH
(2022)
Article
Sociology
Gilbert Ritschard, Tim F. F. Liao, Emanuela Struffolino
Summary: Multidomain/multichannel sequence analysis is widely used in social science research to study the relationships between multiple observed trajectories. This article critically reviews the approaches commonly used in multidomain sequence analysis. The authors identify four strategies for constructing a joint multidomain typology and discuss the assumptions and constraints of these strategies. They also propose a merging algorithm to address the issue of scarce combined types. Additionally, the authors introduce strategies to enhance visualization of the data by types and domains.
SOCIOLOGICAL METHODOLOGY
(2023)
Article
Management
Nevena Zhelyazkova, Gilbert Ritschard
EQUALITY DIVERSITY AND INCLUSION
(2017)
Article
Social Sciences, Mathematical Methods
Matthias Studer, Gilbert Ritschard, Alexis Gabadinho, Nicolas S. Muller
SOCIOLOGICAL METHODS & RESEARCH
(2011)
Article
Computer Science, Interdisciplinary Applications
Alexis Gabadinho, Gilbert Ritschard, Nicolas S. Mueller, Matthias Studer
JOURNAL OF STATISTICAL SOFTWARE
(2011)
Article
Social Sciences, Interdisciplinary
Eric D. Widmer, Gilbert Ritschard
ADVANCES IN LIFE COURSE RESEARCH
(2009)
Article
Demography
Claudine Sauvain-Dugerdil, Bassoutoura Gakou, Fatou Berthe, Abdoul Wahab Dieng, Gilbert Ritschard, Mathias Lerch
STUDIES IN FAMILY PLANNING
(2008)
Article
Demography
Nevena Zhelyazkova, Gilbert Ritschard
POPULATION RESEARCH AND POLICY REVIEW
(2018)