Data Visualization
What We Support We help researchers transform complex datasets into compelling, interpretable visuals by providing support for:
- Static Visualization: Creating publication-ready figures that enhance data storytelling and clearly communicate research findings
- Interactive Dashboards: Building user-friendly dashboards to explore longitudinal and geospatial data dynamically
- Geospatial Visualizations: Mapping and visual analytics for spatial datasets to reveal geographic trends and insights
- Longitudinal Data: Visualizing data over time to capture trends, cycles, and changes across time points
- Data Storytelling: Employing design principles, color theory, and typography to ensure clarity and impact in your visuals
- Reproducible Workflows: Support with R and Python tools (ggplot2, plotly, matplotlib, seaborn) for reproducible, high-quality graphics
Who We Work With
Our team collaborates with researchers across many disciplines, including:
- Biology: Visualizing genomic data, longitudinal patient records, and experimental results
- Chemistry: Charting chemical properties, reaction pathways, and time-course experiments
- Humanities: Representing textual analysis, cultural trends, and interactive storytelling
- Neuroscience: Mapping brain activity, behavioral data, and clinical study results
- Medicine & Public Health: Communicating epidemiological data, clinical outcomes, and survey results
- Environmental Sciences & Geography: Displaying remote sensing data, spatial distributions, and change detection
Ready to Get Started?
Whether you’re preparing figures for publication, developing dashboards for stakeholder engagement, or exploring complex spatial and temporal datasets, our team is here to support you from concept through delivery.
Explore all our services to see how we can assist your next research project.