Statistics service 06
Data Visualization
Publication-ready figures that read at a glance
Charts and diagrams built to journal specification — correct sizing, typography and colour, exported at the resolution the publisher wants.
- Publication figures in R (ggplot2), Python (matplotlib/seaborn) and GraphPad Prism
- Custom colour palettes, typography and layouts matching journal guidelines
- Multi-panel figures with shared legends, highlighting and annotations
- Forest plots, Kaplan-Meier curves, volcano plots, heatmaps and correlation matrices
Software: R (ggplot2), Python (matplotlib, seaborn), GraphPad Prism