This fast-paced, data visualization with R and ggplot2 course is a 1-day, practical hands-on course aimed at experienced developers and system architects. As you progress, you’ll find helpful tips and tricks, as well as useful self-assessment material, exercises, and activities to help you benchmark your progress and reinforce what you’ve learned. The activities have been devised to simulate real-world conditions in order to equip you with the necessary skills to accelerate software deployment while still maintaining security, portability, and affordability.
You Will Learn How To:
- Illustrating continuous integration and continuous delivery concepts.
- Setting up the R environment, R Studio, and explaining the structure of ggplot2.
- Distinguishing between types of variables and best practices for visualizing them.
- Changing the defaults of visualizations to reveal more information about the data.
- Implementing the "Grammar of Graphics" in ggplot2, such as scales, coordinate systems, position adjustments, and faceting.
- Creating complex visualizations and investigating the correlations between variables.
- Designing and implementing a visualization from scratch.
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Who Should Attend
This course is meant for professionals who work with data and use R as part of their workflow. It also targets students who want to extend and enhance their data analysis skills by adding complex, informative, and professional visualizations. This course will not cover the basics of R commands and objects, so students are expected to have some familiarity with the R language