Follow this link: https://schmidtpaul.github.io/70BiomColl_AdvDataVisR/
This is the supporting material for the tutorial Advanced data visualization in R which takes place 28.02.2024 09:00-12:00. Here is the tutorial description as displayed on the website's conference program:
Advanced data visualization in R: (Re)producing professional plots with ggplot2 and the tidyverse
Lecturer: Paul Schmidt (BioMath GmbH, Hamburg)
Learning objectives:
- Deep dive into ggplot2: Understand the intricacies of ggplot2 for top-tier data visualization
- Data manipulation with tidyverse: Utilize packages like dplyr, tidyr, and forcats to shape data optimally for creating graphs
- Aesthetic fine-tuning: Master the skills of axis formatting, theme detailing, and color selection
- Reproducing Exercise: Recreate published plots to understand the application of ggplot2 techniques in real-world scenarios
- Exporting excellence: Learn best practices for exporting plots in publication-ready formats
Target group:
- Anyone wanting to produce or present high-quality plots. Conveying complex data insights through refined visualizations is a relevant part of statistical analysis
Prerequisites:
- Basic understanding of R programming is required
- Basci knowledge of ggplot2 and the tidyverse is beneficial, but not required
- R-packages: tidyverse, cowplot, ggrepel, ggtext, viridis
Format: Hybrid