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Category Archives: Data Visualization
Top Phrases of 2025 vibed into a contextualized cloud.
How can we visualize contemporary phrases? Contemporary art suggests possibilities, but there’s a need for additional context. With AI, I find phrases, do semantic grouping, create example sentences, and encode connotative colors, into a composition. This little AI-assisted design project aid reconsideration of design rules regarding layout and color. Continue reading
Visualizing with LLMs: challenging data visualizations
LLM’s help me animate the text in ways that it perhaps should not be animated. Why? It’s about understanding breadth of design possibilities. Continue reading
Alice text gets wavy
After failing to create an effective scrolling news ticker, the author explores kinetic typography’s potential for data visualization. “Dreamy Alice,” is an interactive version of Alice in Wonderland where text movement semantically encodes plot emotions, demonstrating how animation can dynamically enhance large-scale reading. Continue reading
Posted in Data Visualization, Kinetic Typography, LLM, Text Visualization
Tagged ai, data visualization, datavis, dataviz, LLM, typography
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Text slopes and rings
A Washington Post analysis of earnings calls visualizes rising CEO concerns by sloping keyword changes in context. For another “text on paths” approach, I explore placing quotations on circular rings, enabled by rapid LLM-assisted visualization design. Continue reading
Posted in Annotation, Data Visualization, Design Space, LLM, Microtext, Readability, Text Visualization
Tagged ai, artificial-intelligence, data visualization, datavis, dataviz, LLM
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Free movies (and LLM-aided viz design)
An LLM-driven exploration of visualizing 800 National Film Registry movies. After failed genre and text-embedding approaches, the author uses LLMs to generate nuanced attributes, cluster films, and design an interactive visualization that reveals meaningful similarities without standard categories, reflecting on strengths and limits of “Team LLM” design iteration. Continue reading
Posted in Data Visualization, Design Space, LLM, Text Visualization
Tagged ai, artificial-intelligence, data visualization, datavis, dataviz, LLM, technology
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Can seg∙men∙ting words aid reading?
A new study finds that visual tweaks meant to make English easier to read actually slow readers down. Yet the challenge remains: can typography guide beginners through English’s messy spelling? This post explores why interventions fail, what might still work, and why thoughtful design—and persistence—are essential to innovation. Continue reading
Posted in Data Visualization, Legibility, Readability, Text Skimming, Text Visualization
Tagged datavis, dataviz, design, Font Visualization, fonts, typography
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You’ve made the wrong connection
Force-directed graphs present challenges such as long, salient edges and ambiguous connections, which can confuse viewers. How could this be improved? Three design ideas are constructed via LLM, including edge routing with arcs, edge bundling with color differentiation, and gradient tips to lessen the prominence of long connections and clarify endpoints. New techniques such as these could aid graph visualization to enhance perceptual clarity. Continue reading
Posted in Data Visualization, Graph Visualization, LLM
Tagged artificial-intelligence, Claude.ai, datavis, dataviz, graph perception, LLM
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Sidekicks, visualization storytelling and swaying opinion
Sidekicks can helpfully explain things and be annoying. Can sidekicks be used to help narrative visualizations, for example, helping provide multiple perspectives and enhance engagement? Maybe. Or maybe force linear readings and mislead through content and style. LLMs can help, maybe. Awareness of these potential pitfalls is necessary for critical analysis of data narratives. Continue reading
Posted in Critique, Data Visualization, LLM, narrative visualization
Tagged ai, datavis, dataviz, LLM
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Fitting text into tables: it’s time for AI-gen Tacos
Trouble fitting text into tables? LLM Taco visualizations can help. Text-Tacos are Textual TAble CartOgrams that bend table gridlines so that cells can show more text. These table cartograms can be generated with AI, although there are challenges describing the layout algorithm to the LLM. Text-Tacos can benefit qualitative data visualization, such as the analysis of customer reviews from surveys. Continue reading
Posted in Data Visualization, Design Space, LLM, Text Skimming, Text Visualization, Thematic Map
Tagged ai, artificial-intelligence, ChatGPT, datavis, dataviz, LLM, table, text table
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Texture and Pattern in Data Visualization
The use of pattern in data visualization is under explored. A recent preprint by He et al. presents a design system based on lattices, glyphs and visual attributes. An incredibly wide range of patterns are possible, such as examples of radial patterns, non-linear lattices, and text-based patterns.
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Posted in 3D visualization, Data Visualization, Font Visualization, Pattern, texture
Tagged data visualization, datavis, dataviz
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