Data Visualization & Data Storytelling
Izgi Uygur Studio turns complex research and datasets into clear data visualizations, maps, and interactive data stories. From finding the right visual structure to designing charts, maps, and digital experiences people can understand and explore.
- Harvard University
- MIT
- RunwayML
- Tin Computer
- City of Cambridge
- Bay Nature
- Mass Audubon
Bay Whale Strandings
An interactive data story mapping two decades of whale strandings in the San Francisco Bay Area, built from NOAA records to reveal patterns across time, species, location, and cause.
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Habitat Files
An interactive investigation of Endangered Species Act data, translating information on 1,600+ protected species into an explorable public story.
View project →Data Visualization
Charts, diagrams, and visual systems that make complex datasets easier to compare, navigate, and understand.
Data Storytelling
Data stories that combine research, context, and visualization around a clear question, pattern, or finding.
Interactive Maps & Data Experiences
Interactive maps and web-based data experiences that let people explore place-based, temporal, or multi-layered information.
Understand
Question, audience, source data, context.
Structure & Visualize
Hierarchy, chart and map logic, visual system, interaction.
Refine & Deliver
Validation, final visuals, production files or web experience.
Can you work with spreadsheets and raw data?
Yes. I can work from spreadsheets, database exports, public datasets, survey results, and other structured data, then organize what is needed for the visualization.
Can you help figure out what the data should show?
Yes. The work often starts before the visualization is defined. I look at the audience, question, context, and available data to determine what information matters and how it can be shown clearly.
Do you create interactive data visualizations as well as static graphics?
Yes. Projects can range from individual charts and maps to interactive data stories and web-based experiences, depending on the audience and use case.
Have a data project in progress?
Even if the story or visual format isn't clear yet.