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Intermediate Data Visualization with ggplot2
4.8(974)56k studentsINTERMEDIATEEnglish
Korshub's take
Overview
Building on fundamental ggplot2 concepts, this course covers explanatory data visualization techniques in R. You explore dynamic statistical transformations, coordinate adjustments, multi-panel faceting, and visual design principles to produce publication-ready graphics.
Who It Is For
Intermediate R users aiming to create structured explanatory figures and reusable visualization functions.
Key Takeaways
- Perform statistical calculations on the fly within plot layers.
- Utilize coordinate systems and faceting to clarify data comparisons.
- Construct custom plotting functions to automate dataset exploration.
About this course
This ggplot2 course builds on your knowledge from the introductory course to produce meaningful explanatory plots. Statistics will be calculated on the fly and you’ll see how Coordinates and Facets aid in communication. You’ll also explore details of data visualization best practices with ggplot2 to help make sure you have a sound understanding of what works and why. By the end of the course, you’ll have all the tools needed to make a custom plotting function to explore a large data set, combining statistics and excellent visuals.
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