A comprehensive workshop on data visualization using R, developed by the Nevada Bioinformatics Center.
This workshop guides participants through the process of creating effective, publication-quality data visualizations in R using the ggplot2 package. The material is structured in three progressive modules, taking participants from basic concepts to advanced visualization techniques.
- Understanding data types
- Crafting an effective data story
- Introduction to R for visualization
- Long vs wide data formats
- Introduction to ggplot2
- Basic plot customization
- Data summarization techniques
- Plotting raw data
- Customizing figures with themes, shapes, colors, and labels
- Creating bubble plots
- Practical exercises
- Combining multiple plots
- Showing statistical significance in visualizations
- Saving plots in publication-ready formats
- Advanced figure types:
- Time series with line plots
- Combining plot types
- Multivariate visualization with heatmaps
- Multi-panel figures
- Capstone exercises
- RMarkdown files with code examples and explanations
- Practice exercises with solutions
- Reference images
- Basic knowledge of R programming
- R and RStudio installed
- Required packages include: ggplot2, dplyr, tidyr, pheatmap, corrplot, RColorBrewer
- This workshop was funded by Nevada INBRE
For more information about this workshop or other bioinformatics resources, please contact the Nevada Bioinformatics Center.