Data Visualization in R: Customization, Part 2 of 2
To Know
About this Class
The "Data Visualization in R" series focuses on using ggplot and the broader tidyverse ecosystem to create insightful and customizable visualizations. It covers key principles of data visualization, from basic plots to advanced techniques, emphasizing the flexibility and power of ggplot within a tidy data workflow. By the end of the series, participants will be proficient in building plots using the tidyverse ecosystem.
This one hour and half online training builds on the topics covered in the Data Visualization in ggplot training. This training emphasizes advanced customization techniques in ggplot, to create effective and clear visualizations. Participants will build on the foundational skills learned in Part 1 of the series and apply various customization options, such as faceting, labeling, themes, and color scales. You must have taken Data Visualization in R: Introduction to ggplot: Part 1 of 2 training to be successful in this training.
By the end of this training, attendees should be able to:
- Create a scatterplot in ggplot
- Learn how to facet a plot
- Demonstrate options for customizing the title and axis
- Apply different ggplot themes Attendees are expected to have a basic understanding of R and RStudio. To proceed, attendees should have done the following:
- Installed R and RStudio.
- Have a basic understanding of R and RStudio.
- Reviewed our R basics training on the NIH Data Services: On Demand Content YouTube Playlist, if you are new to R.
- You can register for the training in this series via the link below:
- Data Visualization in R: introduction to ggplot Part 1 of 2