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Information Visualization, Volume 24
Volume 24, Number 1, 2025
- Andrew Hill
:
Are pie charts evil? An assessment of the value of pie and donut charts compared to bar charts. 3-23 - Arran Zeyu Wang
, David Borland
, David Gotz
:
A framework to improve causal inferences from visualizations using counterfactual operators. 24-41 - Adrian Derstroff
, Simon Leistikow, Ali Nahardani, Katja Gruen, Marcus Franz, Verena Hoerr, Lars Linsen:
Interactive visual formula composition of multidimensional data classifiers. 42-61 - Hongtai Huang
, Sreedevi Ravi, Timothy Warrington, Howe Cui, Carlson Wang, Mark McCreary, Benjamin Lauffer, Christina Lu:
A comparison of data visualization tools: A case study in health-related research. 62-78 - Md Dilshadur Rahman
, Ghulam Jilani Quadri
, Danielle Albers Szafir, Paul Rosen:
Exploring annotation taxonomy in grouped bar charts: A qualitative classroom study. 79-94 - Qi Zhang
, Nikhil Maram:
Multidimensional data visualization and synchronization for revealing hidden pandemic information. 95-113
Volume 24, Number 2, 2025
- Manuela Garretón
, Daniela Moyano, José Guerra, Denis Parra:
Survey of data stories: Guidelines for data story authoring. 117-134 - Mariana Gomes Borges
, Claiton Marques Correa, Milene Selbach Silveira
:
Decoupling narrative visualizations into components: Helping designers to tell data-driven stories. 135-149 - Kean Lee Kang
, Adam Hastings, Alex Danielle Hughes, Karolina Myszkowska, Margaret Greer, Janice Preston, Don McIntyre, Janette Hughes, Kara Mackenzie, James Bown, Ruth Falconer:
Creating informative experiences through a visual and interactive representation of health and social care data. 150-164 - Satoru Shinoda
, Takuya Yoshimoto, Kouji Tahata:
Visualizing departures from marginal homogeneity for square contingency tables with ordered categories. 165-178 - Daniel Witschard
, Ilir Jusufi, Kostiantyn Kucher
, Andreas Kerren
:
Visually guided extraction of prevalent topics. 179-198 - Sitti Farinah Sakarang
, Mohammad Fadhli Asli
, Muzaffar Hamzah:
Narrative visualization: Taxonomy, methodologies, challenges, and opportunities. 199-223

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